2014

Ofertas diversas

• Postdoc and PhD Positions at University of Bonn (Germany). Received: 29/12/2014.

The Autonomous Intelligent Systems Group of University of Bonn invites applications for several Postdoctoral and fully funded PhD positions.

Candidates should have a background in one of the following research areas:
* Autonomous micro aerial vehicles,
* Service robots,
* Humanoid robots,
* Search and rescue robots,
* Simultaneous localization and mapping,
* Environment perception,
* Manipulation and locomotion planning, or
* Machine learning for robotics.

Candidates for Postdoctoral positions must hold a PhD in robotics or a related field, such as computer science or electrical engineering. Top-level publications and good organizational skills are important. Successful candidates will have the opportunity conduct independent research and at the same time contribute to the ongoing projects listed below, guiding PhD students and master students. Payment will be according to TV-L-E14 54,500-65,000 Euros per annum, depending on experience.

Candidates for PhD positions must hold a university Master's degree in computer science, mathematics, electrical engineering, or a related field. A strong mathematical background and programming skills are important. Successful candidates will conduct focused research towards a PhD in Computer Science and contribute to one of the ongoing projects listed below, guiding master and bachelor students. Payment will be according to TV-L-E13 46,000-50,500 Euros per annum, depending on experience.

Applications in PDF format should be sent by email to --LOGIN--b2fa5f7c9df77ea8fef6c66045451a8cais[dot]uni-bonn[dot]de with the subject line “Postdoc Application” or “PhD Application”.
Please indicate in your cover letter your main achievements, the research area or project where you want to contribute, and your availability date.
A list of publications and transcripts must be included.
There is no application deadline. Positions will be filled as soon as possible.

Autonomous Intelligent Systems Group:
The University of Bonn has a long tradition in robotics research and multiple outstanding groups in robotics. The Autonomous Intelligent Systems Group, headed by Sven Behnke, has developed award-winning cognitive robot systems, including domestic service robots, autonomous micro aerial vehicles, humanoid soccer robots, robots for mobile manipulation in rough terrain, and robots for intuitive human-robot interaction. Contributions include efficient methods for RGB-D and laser-based SLAM, semantic environment perception, robot navigation, object manipulation and tool use, bipedal walking, multimodal human-robot interaction, and learning from demonstrations and own experience.
Further information: http://www.ais.uni-bonn.de/research.html

Ongoing projects in the Autonomous Intelligent Systems Group:

* H2020: CENTAURO - Robust Mobility and Dexterous Manipulation in Disaster Response by Fullbody Telepresence in a Centaur-like Robot (Coordinator)
http://www.centauro-project.eu

* FP7: STAMINA - Sustainable and Reliable Robotics for Part Handling in Manufacturing Automation
http://www.ais.uni-bonn.de/STAMINA

* DFG Research Unit “Mapping on Demand”:
- Local Perception for the Autonomous Navigation of Multicopters
- Autonomous Navigation for Object Capture with Multicopters
http://www.ais.uni-bonn.de/MoD

* DFG Priority Programme “Autonomous Learning”:
- Autonomous Learning of Bipedal Walking Stabilization
http://gepris.dfg.de/gepris/projekt/269319994
- ALROMA: Autonomous Active Object Learning Through Robot Manipulation
http://gepris.dfg.de/gepris/projekt/260307391

* BMWi: InventAIRy - Identification with Autonomous Flying Robots: Autonomous Flight Control
http://www.inventairy.de

* DFG: Development of an Open Humanoid Soccer Robot
http://www.ais.uni-bonn.de/nimbro/OP

* German Aerospace Center (DLR): Cooperative Exploration and Mobile Manipulation in Rough Terrain (DLR SpaceBot Cup)
http://www.ais.uni-bonn.de/nimbro/Explorer

University of Bonn has an international Master in Computer Science Programme where you can specialize in Robotics. All lectures are in English. Excellent students can be supported by research or teaching assistant jobs.
Further information: http://master.cs.uni-bonn.de

More information on the Federal City of Bonn:
http://en.wikipedia.org/wiki/Bonn

• Four postdoctoral positions in brain-mind interaction at the University of California, Santa Barbara (USA). Received: 23/12/2014, Closing date: 01/02/2015.

SAGE JUNIOR FELLOW PROGRAM, SAGE CENTER FOR THE STUDY OF MIND, UNIVERSITY OF CALIFORNIA, SANTA BARBARA

Job number JPF00417

Four postdoctoral positions will be available beginning on September 1, 2015. This is a three-year fellowship, and the competition is open to all qualified candidates regardless of institutional affiliation.

The SAGE Center Junior Fellowship Program, established in 2011, fosters interdisciplinary research in the study of brain-mind interaction at the postdoctoral level. We are seeking a group of highly collaborative, interacting fellows who are willing to take different approaches to shared conceptual challenges. Qualified applicants should be able and will be encouraged to utilize the UCSB Brain Imaging Center (http://www.bic.ucsb.edu/). The Center supports the new PRISMA (3T) Siemens magnet as well as MRI compatible high density electroencephalography hardware. Center funding will be available for imaging studies.

In addition to developing research programs in close collaboration with individual faculty, Junior Fellows will enjoy special privileges, including access to visiting SAGE Scholars and attendance at regular group meetings to collaborate and share information about the role of psychology, cognitive neuroscience, economics, political science, anthropology, biology, physics, engineering, the arts, philosophy and other disciplines on the study of brain, mind and behavior. To be eligible for the Junior Fellows program, a candidate must have been awarded a doctoral degree or foreign equivalent within the past five years.

Proposed research topics must be related to brain-mind interaction. Interdisciplinary approaches are encouraged. We will strive to create a team based on common interests of the top applicants.

To apply, please submit:
1. A complete CV, published article and three letters of recommendation
2. A statement of your research interests and a description of how those interests complement the goals of the SAGE Center.

For primary consideration, apply by February 1, 2015, although we will accept applications until the positions are filled. Please submit your application at https://recruit.ap.ucsb.edu/apply/JPF00417. Inquiries about your application may be directed to --LOGIN--d00905eab59894cb8767f8093de9545dsagecenter[dot]ucsb[dot]edu ; include your last name in the subject line of all correspondence.

Michael S. Gazzaniga, Ph.D.
Director, SAGE Center for the Study of Mind
University of California, Santa Barbara
http://www.sagecenter.ucsb.edu/
http://www.psych.ucsb.edu/~gazzanig/

The department is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service. The University of California is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, or any other characteristic protected by law including protected Veterans and individuals with disabilities.

• Academic Position in Computer Security at the University of Cyprus, Nicosia (Cyprus). Received: 22/12/2014, Deadline: 12/03/2015.

The University of Cyprus invites applications for one tenure-track academic position at the rank of Lecturer or Assistant Professor.

DEPARTMENT OF COMPUTER SCIENCE

One position at the rank of Lecturer or Assistant Professor in the field of:
“Computer Security”with emphasis in:
- Operating System Security or
- Internet Security or
- Web Security or
- Network Security

For all academic ranks, an earned Doctorate from a recognized University is required.

Requirements for appointment depend on academic rank and include: prior academic experience, research record and scientific contributions, involvement in teaching and in the development of high quality undergraduate and graduate curricula. The minimum requirements for each academic rank can be found at the webpage:

http://goo.gl/lb6I61

The official languages of the University are Greek and Turkish. For the above position knowledge of Greek is necessary.

Holding the citizenship of the Republic of Cyprus is not a requirement.

In the case that the selected candidate does not have sufficient knowledge of the Greek language, it is the selected candidate's and the Department's responsibility to ensure that the selected academic acquires sufficient knowledge of the Greek language within 3 years, since the official language of teaching at the University is the Greek language. It is noted that each Department sets its own criteria for the required level of adequacy of knowledge of the Greek language.

The annual gross salary (including the 13th salary) is:

Lecturer (Scale A12-A13) 43,851.21 Euro - 71,358.82 Euro
Assistant Professor (Scale A13-A14) 57,694.26 Euro - 77,811.11 Euro

Applications must be submitted by Thursday, 12th of March 2015. The application dossiers must include two sets of the following documents in printed and electronic form (i.e., two hardcopies and two CDs with the documents in PDF (Portable Document Format) or Word files).

I. Cover letter stating the Department, the field of study, the academic rank(s) for which the candidate applies, and the date on which the candidate could assume duties if selected.

II. Curriculum Vitae.

III. Brief summary of previous research work and a statement of plans for future research (up to 1500 words).

IV. List of publications.

V. Copies of the three most representative publications.

VI. Copies of Degree certificates should be scanned and included in the CDs.

VII. Names and contact details for three academic referees.

Applicants must ask three academic referees to send recommendation letters directly to the University. The names and contact details of these referees must be indicated in the application, because additional confidential information may be requested. The recommendation letters must reach the University by Thursday, 12th of March 2015.

The Curriculum Vitae and the statements of previous work and future research plans should be written in Greek or in Turkish, and in one international language, preferably English.

Selected candidates will be required to submit copies of degree certificates officially certified by the Ministry of Education (for certificates received from Universities in Cyprus) or from the Issuing Authority (for foreign Universities).

Applications, supporting documents and reference letters submitted in response to previous calls in the past will not be considered and must be resubmitted.
Incomplete applications, not conforming to the specifications of the call, will not be considered.

All application material must be submitted, in person, to:
Human Resources Service
University of Cyprus
University Campus
Council/Senate Anastasios G Leventis Building P.O. Box 20537
1678 Nicosia, Cyprus Tel. 22894158/4155

by Thursday, 12th of March 2015, 2:00 p.m. Alternatively, applications can be sent by post; they will be accepted as valid as long as the sealed envelopes are post-marked before the deadline of March 12, 2015, and they reach the Human Resources Service by March 19, 2015, on the sole responsibility of the applicant.

For more information, candidates may contact the Human Resources Service (tel.: 00357 22894158/4155) or the Department of Computer Science (--LOGIN--f0ccc1069f0b5143625c0f674a7ea67bcs[dot]ucy[dot]ac[dot]cy , 00357 22892700/2669).

• Postdoctoral Fellowship in Computational Linguistics/Computational Cognitive Modeling of Language at the University of Toronto (Canada). Received: 16/12/2014.

Applications are invited for one or more postdoctoral fellowships in computational linguistics at the University of Toronto, in a research group that works on computational cognitive models of language acquisition and language processing, and on statistical methods for learning lexical semantic information from large text corpora. We take a very multidisciplinary approach to building systems that learn about words, integrating machine learning approaches with theories and insights from the fields of linguistics and psycholinguistics.

Successful candidates will contribute substantially to ongoing research activities in computational lexical semantics and/or cognitive modeling of language acquisition and processing, and participate in developing new research directions in these areas. In addition to pursuing independent and collaborative research activities, the position will involve engagement in undergraduate student supervision and co-supervision of graduate students, along with some administrative duties.

The postdoc will work with Professor Suzanne Stevenson and her students in the Department of Computer Science at the University of Toronto (UofT), as well as with collaborators within and outside the department. See http://www.cs.toronto.edu/~suzanne/publications.html for examples of publications coming out of the research group. The precise research focus for the postdoctoral fellowship will be determined in consultation with the successful candidate to maximize the potential for innovative and collaborative research with the PI and her students/collaborators and for professional development of the postdoctoral fellow.

Computer Science at UofT is a top-ten department that is well known for its strength in artificial intelligence, including a world-renowned computational linguistics group with 3 faculty members and over 20 graduate students and postdocs (http://www.cs.toronto.edu/compling). Our research group engages with an active psycholinguistics community at UofT that draws participants from Computer Science, Linguistics, Philosophy, Psychology, Speech-Language Pathology, and other departments across the campus. The university is consistently ranked in the top twenty in the world, and the St. George campus (the location of the postdoctoral fellowship) is situated in the vibrant mid-town area of the world’s most multicultural city (http://www.sgs.utoronto.ca/postdoctoralfellows/Pages/Life-in-Toronto.aspx).

We’re looking for candidates who are committed to the multidisciplinary study of language from a computational perspective, and who have a PhD in computational linguistics or in a related field with experience in computational modeling. Salary will be minimum $60,000/year, depending on the successful candidate’s qualifications and experience, plus $5,000/year in research funds. The term is for minimum 1 year, to start as soon as a successful candidate is identified. Course teaching is not required but opportunities to engage in teaching in computer science or cognitive science may be available. Any inquiries concerning further details of the position should be directed to the e-mail address below.

Applications should contain: (1) a cover letter clearly indicating the candidate’s research goals for the postdoc and possible start dates,(2) a full CV, (3) a statement of research interests, (4) two or three example publications, and (5) the names and e-mail addresses of three referees. Application materials should be e-mailed as PDF files to Suzanne Stevenson, --LOGIN--01ef7c9715bdf286a9b6222dda373158cs[dot]toronto[dot]edu . Priority will be given to applications received by January 16, 2014.

• Faculty position in Neuroscience at RIKEN Brain Science Institute, Tokyo (Japan). Received: 16/12/2014.

The RIKEN Brain Science Institute (BSI) is seeking outstanding neuroscientists for a tenure-track Team Leader (TL) position (equivalent to U.S. Assistant or Associate Professor). At RIKEN BSI, Team Leaders enjoy intellectual independence, generous internal funds and ample communal facilities. Administrative and teaching duties are minimal.

We encourage applications from all disciplines of neuroscience, particularly from individuals studying brain function in normal and/or disease states at the molecular, cellular, circuit and/or systems levels using innovative experimental and/or theoretical approaches. Researchers studying model animals or humans are welcome.

Candidates for the Team Leader position should have demonstrated the potential to develop an original, significant, and independent research program of excellence.

RIKEN BSI is located just outside of the international metropolis of Tokyo. English is used in most activities at BSI, including seminars and administration. Institutional support is available to help non-Japanese speaking scientists, whom we particularly encourage to apply.

RIKEN Brain Science Institute is an Equal Opportunity Employer. Women are strongly encouraged to apply.

Review of applications will begin in January 2015 and continue until an ideal candidate is identified.

Applicants should submit a cover letter briefly summarizing their research program and plan, curriculum vitae, a detailed summary of current and proposed research, and arrange for three letters of recommendation, to be sent to:

Search Committee, RIKEN Brain Science Institute
2-1 Hirosawa, Wako, Saitama 351-0198, Japan
Fax: +81-48-462-4914, Email: --LOGIN--f70e85f13fc4b841d9d997727544deebbrain[dot]riken[dot]jp
http://www.brain.riken.jp/en/

• 11 Ph.D. Positions in Computer Science, Computational Linguistics, Information Management or related areas at the Technische Universität Darmstadt and at the Ruprecht Karls University Heidelberg (Germany). Received: 13/12/2014, Deadline: 12/01/2015.

The newly established Research Training Group “Adaptive Information Preparation from Heterogeneous Sources“ (AIPHES) (http://www.aiphes.tu-darmstadt.de/) at the Technische Universität Darmstadt (https://www.informatik.tu-darmstadt.de/) and at the Ruprecht Karls University Heidelberg (http://www.cl.uni-heidelberg.de/) is filling several positions for three years, starting on April 1st, 2015:

PhD-level Researchers in Computer Science, Computational Linguistics, Information Management or related areas

The positions are for three years, starting with April 1st, 2015. The group will be located in Darmstadt and Heidelberg. The funding follows the guidelines of the DFG, and the positions are paid according to the E13 public service pay scale.

The goal of AIPHES is to conduct innovative research in knowledge acquisition on the Web in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment will be developed. AIPHES will investigate a novel, complex scenario for information preparation from heterogeneous sources. It interacts closely with end users who prepare textual documents in an online editorial office, and who should therefore profit from the results of AIPHES.

We are looking for exceptionally qualified candidates with a degree in Computer Science, Computational Linguistics, or a related study program. We expect ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. Desirable is experience in scientific work. Applicants should be willing to work with German-language texts, and, if necessary, to acquire German language skills during the training program. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.

Applications should include a motivational letter that refers to one or two of the planned research areas of AIPHES, a CV with information about the applicant’s scientific work, certifications of study and work experience, as well as a thesis or other publications in electronic form. They should be submitted until January 12th, 2015 to the spokesperson of the research training group, Prof. Dr. Iryna Gurevych (Fachbereich Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address: --LOGIN--9f2bdde05bd33d6ae0db70c0fd65b6acukp[dot]informatik[dot]tu-darmstadt[dot]de

More details on this training group, including the full version of this short call, can be found at the AIPHES Web-site.

• Postdoctoral position in neuroeconomics and decision making at the University of Glasgow (UK). Received: 08/12/2014, Closing date: 04/01/2015.

Applications are invited for a full-time postdoctoral position to make a contribution to the ESRC funded project on the neurobiology of human decision making using multimodal neuroimaging (PI: Dr. Marios Philiastides). The post will be based at the Institute of Neuroscience and Psychology (INP) at the University of Glasgow, which benefits from on-site access to the Centre for Cognitive Neuroimaging (CCNi). The CCNi is a research-dedicated facility within the INP and it is equipped with state-of-the art brain imaging facilities comprising a 3T fMRI scanner (Siemens Trio), an MEG system, and several TMS and EEG systems, including MR-compatible recording options.

Our group uses multimodal neuroimaging coupled with mathematical modelling to characterise the spatiotemporal dynamics and the computational principles of the brain networks underlying human decision making. Our analysis methods are heavily inspired by machine learning and statistical pattern recognition and are designed to exploit trial-to-trial variability in electrophysiologically-derived measures that can be used in conjunction with simultaneously acquired fMRI to tease apart the cascade of constituent cortical and subcortical processes involved in decision making. The primary focus of the project will be to unravel the neural correlates of learning and confidence during decision making.

Candidates must have (or nearing completion of) a PhD degree in neuroscience, psychology, and cognitive science or in a related discipline. Candidates must have previous practical experience and working knowledge of human neuroimaging (M/EEG and/or fMRI). The post holder must also have working knowledge of experimental statistics, signal processing and excellent programming skills in Matlab. Previous experience in simultaneous EEG/fMRI experiments, advanced multivariate data analysis and computational modelling is desirable but not required.

This post will be available in early 2015, for three years. Salary commensurate with experience and qualifications: Grade 6/7: £27,057 - £30,434 / £33,242 - £37,394 per annum.

Informal enquiries may be addressed to Dr. Marios Philiastides at --LOGIN--b889386455d03725cd11a0d20b4650e8glasgow[dot]ac[dot]uk .

Apply online at: www.gla.ac.uk/jobs (Ref: M00589)

Closing date: 4 January 2015

• Two Scientist Positions in Big Data Analytics and High Content Analytics at Institute of High Performance Computing, A*STAR (Singapore). Received: 08/12/2014.

Position 1
Institute of High Performance Computing (IHPC), A*STAR is looking for candidates with the talent and passion to pursue first class research in Big Data Analytics. You will be expected to conduct innovative research, design and develop cutting edge models and algorithms for analyzing large-scale textual data from science and engineering domains. You will also be expected to work closely with the researchers from IHPC to build up the in-house capability on context-based analytics. The successful candidates will have the opportunities to collaborate with researchers and practitioners from other A*STAR institutes as well as industry, to translate the developed solutions for tackling real world text analytics problems confronted today and in near future.

Requirements:
- PhD in Computer Science or other related subjects.
- Strong expertise and research record on text analytics/text mining/natural language processing.
- Experience in analyzing large-scale data using, e.g., Hadoop/Spark.
- Broad knowledge in machine learning and data mining.
- Programming experience in Python and Matlab/Octave. Experience in C++, Java, and R is a plus.
- Able to work in a collaborative research environment & communicate well with colleagues and collaborators.

Position 2
Institute of High Performance Computing (IHPC), A*STAR is looking for a postdoctoral Scientist with the talent and passion to pursue first class research in high content analytics through a joint project with Institute of Molecular and Cell Biology (IMCB). You will be expected to conduct innovative research, design and develop cutting edge models and algorithms for processing and analyzing large-scale high content screening data. You will also be expected to work closely with researchers from IHPC as well as reputed biologists from IMCB to establish novel approach to genome-wide cell phenotyping and gene interaction identification. The job is available immediately.

Requirements:
- PhD in Computer Science, Applied Statistics, or other related subjects.
- Broad knowledge on machine learning/data mining/data analytics.
- Strong expertise and research record in classification/clustering/network analytics.
- Programming experience in Python and Matlab/Octave.
- Experience in bioinformatics and big data analytics using, e.g., Hadoop/Spark would be a plus. - Capable of conducting research in a cross-disciplinary team.

How to Apply
Interested candidates please send your CV to --LOGIN--0373df8ffd3679f0fb55aa4b0b07315eihpc[dot]a-star[dot]edu[dot]sg . We regret that only shortlisted candidates will be notified.

• Postdoctoral position in computational modelling of in-vivo calcium imaging at Inria, Paris (France). Received: 07/12/2014.

The Mycenae and Aramis Teams, at the Inria Research Institute in Paris, are recruiting a highly motivated postdoctoral associate to work on models of neuronal activity and connectivity from in-vivo calcium imaging. The focus of this research is on designing models of calcium activity and developing functional connectivity analysis methods in order to create models incorporating the spatial information of neurons to predict functional networks topology. A precise subject with references is available on this link:
https://team.inria.fr/mycenae/files/2014/12/ARAMIS-MYCENAE_postdoc_offer_1.pdf

Initial duration of the position is 12 months, and it is available immediately. Interested candidates shall get in touch with:
Fabrizio De Vico Fallani (Amaris): --LOGIN--f17b53804787bb3b6bcaf4fb99add372gmail[dot]com
Frédérique Clément (Mycenae): --LOGIN--b5e39f3616f809ca03819b5707cdb0a8inria[dot]fr
Alexandre Vidal (U. Evry & Inria Mycenae): --LOGIN--143f6ac4241afca3a5d08670be198af3inria[dot]fr

• Postdoctoral Fellow in brain-tongue-computer interfacing at the Georgia Institute of Technology, Atlanta (USA). Received: 06/12/2014.

A post-doctoral position is available in GT-Bionics Lab at the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, where we design and develop state-of-the-art wireless, implantable, and wearable medical instruments. A number of research projects have been recently funded by the NIH and NSF to develop advanced digital signal processing and machine learning algorithms, novel software applications, and highly-efficient smart embedded systems for a variety of neuro-rehabilitation and assistive technologies, derived from the original Tongue Drive System (TDS). TDS is an unobtrusive, wireless, and wearable device capable of tracking the tongue position in real-time. These projects involve brain-tongue-computer interfacing (BTCI) to utilize the robust neuromuscular control and rapid, intuitive, and dexterous tongue kinematics for environmental control, speech and language therapy, and effective augmentative and alternative communication. The tongue’s direct natural hotline to the brain via cranial nerves obviates the need for highly invasive access to the brain, while its speed, dexterity, and accuracy far outpaces the EEG-based methods. We intend to find new ways to tap into the inherent capabilities of the human tongue and oral motor control, and combine it with audiovisual biofeedback and other sensory and motor modalities to impact the brain neuroplasticity towards improving the patients’ quality of life.

The research work is conducted in a unique multi-disciplinary and collaborative atmosphere among engineers, rehabilitation professionals, clinicians, neuroscientists, caregivers, and individuals with disabilities or neurological disorders. This is a collaboration between Georgia Tech, Northeastern University, Georgia State University, Emory University, and Shepherd Center in Atlanta, GA, USA.

The candidate must possess a doctoral degree in electrical, computer, or biomedical engineering and demonstrate excellence in problem solving, writing (publications), and communication (presentations) skills. Strong background in digital signal processing, machine learning, classification, pattern recognition, coding, statistical analysis, and embedded systems is necessary. Additional experience in electromagnetics, medical instrumentation, circuit design, wireless communication, rehabilitation engineering, mobile app development, human-computer interaction, rapid prototyping, and computer interfacing is preferred. The successful candidate should be highly motivated, ambitious, competitive and yet cooperative, meticulous in paying attention to details, and capable of working as a team member, while being independent. Candidates with prior mentorship experience are preferred.

Interested individuals should send their detailed CV, three sample publications, and the names and contact information of two references by email to Prof. Maysam Ghovanloo (--LOGIN--c92d2fd65ae9612724fdc75d57ddc044gatech[dot]edu ). Review of applications will start immediately and continue until the position is filled.

• Postdoctoral Fellowship in Embedded Representations of Knowledge Bases, Machine Learning, Natural Language Processing, Information Extraction, Information Integration & Data Mining at the University of Massachusetts Amherst (USA). Received: 05/12/2014.

Andrew McCallum is seeking one or two highly creative Postdoctoral Research Fellows to join his lab in the School of Computer Science, University of Massachusetts Amherst.

We are especially interested in people with interest and expertise in some combination of:

* deep learning
* statistical machine learning
* natural language processing
* graphical models
* approximate inference and learning
* parallel & distributed machine learning
* large-scale automated knowledge base construction

Previous experience applying machine learning to problems in text data is not necessarily required. This is an opportunity to exercise your machine-learning know-how on real data and real problems.

Project opportunities include:

* Learning embedded representations of large knowledge bases.
* Entity types & relations of “universal schema” by tensor factorization.
* Reasoning and inference on embedding-based knowledge bases.
* Joint embeddings of language and images.
* Information extraction and integration of massive bibliographic databases of research papers, authors, institutions and venues; social network analysis and trend analysis in this data; reviewer- and expert-finding; community- and trend-discovery.
* Automated knowledge base construction from the web; large-scale probabilistic databases and crowd-sourcing.
* Multi-core & cluster-distributed machine learning; probabilistic programming in Scala.
* Natural language understanding with joint inference, approximate inference, minimal supervision, and learning alignments to structured data.

UMass offers an attractive environment for research at the intersection of machine learning and textual information---with significant strength in information retrieval, social network analysis, data mining, databases, and many areas of machine learning.
We also have strong ties to our statistics department and other nearby universities. We have large staff and computing infrastructure to support significant projects.

Ranked among the top AI groups in the U.S., UMass has a highly collaborative CS department. UMass is located in bucolic western New England, surrounded by five other colleges, and also within day-trip range of both Boston and New York.

Prospective candidates should email both Andrew McCallum <--LOGIN--e89c5592b4f364dbc8b7d3f521aa1807cs[dot]umass[dot]edu >, and Jean Joyce <--LOGIN--49998838fd636b0d984713a215cf28d4cs[dot]umass[dot]edu > about your interest.

The University of Massachusetts is an Affirmative Action/Equal Opportunity employer.

• ICT Innovation Process Manager at Inspiralia, Madrid (Spain). Received: 05/12/2014.

Are you a curious person constantly searching for the answer to the problems of society? Are you willing to grow in a multicultural environment, working all over Europe? Then, you will suit perfectly at Inspiralia. We are a passionate young Spanish New Product Development Company. We offer solutions to our clients, involving areas such as strategic innovation, followed by product and process development and launch to the product to the market; across a wide range of fields such as Energy, Health and Wellbeing, and Industry.

Due to our rapid expansion in Europe, we are searching for an ICT Innovation Process Manager for our offices in Madrid. Reporting to the Head of Unit, this senior role will represent Inspiralia in front of both, old and self-acquired clients, in charge of new product generation for our clients. The candidate will act as Business Developer, also ensuring the attainment of funds for product development and managing project execution in order to deliver the agreed results on time and on budget. Also, the candidate will lead the bid writing coach plan. We required a candidate with:

• Bachelor degree in a technical or numerical subject related to Information and Communication Technologies. A MBA or PhD will be desirable.

• Fluent in English and Fluent in French, Italian or German would also be an asset.

• At least 3 years’ experience in international sales, complex projects management and/or product research.

Skills:

• Excellent understanding of ICT Technologies

• Ability to translate and communicate strategic opportunities into solution requirements

• Strong sales and customer focus

• Analytical and problem solving

• Team management

We offer a full time contract with attractive and competitive retribution with social benefits.

If you wish to register your CV with us, please email us enclosing a covering letter detailing your key skills and experience.
--LOGIN--d76df26cb7e9e6f9ebcce62eb8a22355inspiralia[dot]com

• Open PhD positions at the International Max Planck Research School (IMPRS) for Neural Circuits (Germany). Received: 04/12/2014, Deadline: 15/01/2015.

Call for applications: International Max Planck Research School for Neural Circuits

The International Max Planck Research School (IMPRS) for Neural Circuits was funded in 2011 by the Max Planck Society and offers ten positions every year for excellent students holding a relevant Master´s or Bachelor´s degree to perform research resulting in a PhD. The program is taught in English. All positions are completely funded (by the school and/or participating Labs), either by a contract or a fellowship.

The common focus of the IMPRS for Neural Circuits will be the understanding of neural circuits (from the simple to the large and complex), at all scales required to achieve this understanding. This ambitious objective will require analyses at the molecular, cellular, multi-cellular, network and behavioral levels, with the full understanding that macroscopic phenomena (spatial patterns, dynamics) can be scale-dependent, and that reductionism is not always sufficient as a method.

In the IMPRS for Neural Circuits we offer a multidisciplinary program to excellent doctoral students with backgrounds in neuroscience, mathematics, physics, computer science, (bio) chemistry, biology and medicine as well as research experience in the participating institutions of the Frankfurt Neuroscience community (see website for participating Faculty members). Students will participate in a tailor-made educational program including research rotations and neuroscience classes but also in trainings in transferable skills.

We welcome excellent students to apply to the program. Till January 15, 2015, it will be possible to apply for a position starting in the Fall of 2015. You can apply via our electronic registration system. After the deadline, the Faculty members will select around 25 students to participate in the interview symposium in Frankfurt (March 2015). Shortly after the symposium, the students will receive a letter with an offer or rejection.

More information can be found on our website www.imprs.brain.mpg.de. Please send an email to --LOGIN--b046108ef420ed1e6eb885ecf62f79ddbrain[dot]mpg[dot]de if you have more specific questions.

• Postdoc Position in Large-scale Brain Modeling at the University of Waterloo (Canada). Received: 03/12/2014.

Centre for Theoretical Neuroscience, University of Waterloo

We are recruiting for a theoretical neuroscientist interested in building large-scale functional brain models. The successful candidate will become an integral part of the team that has built the world's largest functional brain model, Spaun. This work was published in Science, and received coverage around the world on CNN, BBC, CBC, and hundreds of other outlets. We are building the next generation of computational platforms to run such models. This position will focus on using supercomputers (e.g., IBM BlueGene) to run models written in the Nengo environment (http://nengo.ca). Nengo is a general neural simulation environment that, in addition to Spaun, has been used to simulate adaptive arm controllers, state-of-the-art vision systems, natural language processors, reinforcement learners, and novel robotic controllers among many other projects. Postdocs will be encouraged to pursue their research program with these state-of-the-art tools.

Qualifications: PhD in theoretical neuroscience or related field; experience with MPI, BlueGene, or other HPC environments desirable; python experience an asset.

Start date: As soon as a suitable candidate is found

Submit: CV, statement of research interests, three references

Duration: 1 year renewable for a 2nd year

Lab: CNRG http://compneuro.uwaterloo.ca/

Contact: --LOGIN--34a44b13a5916c7b647c3928a3ab71d6uwaterloo[dot]ca (Chris Eliasmith)

Funding for the position will be provided by TalentEdge
(http://www.oce-ontario.org/programs/industry-academic-collaboration/talentedge/ fellowships)
and a corporate sponsor.

• Available Positions in Machine Learning for Soundscape Analysis at the University of Toulon (France). Received: 03/12/2014.

Several positions are now available into the Scaled Acoustic Biodiversity Project (http://sabiod.org/jobs.html):

- PhD scholarships (with or without industrial collaboration),
- Internships (master...),
- Postdoc positions,
- Engineer positions.

The goal of these positions is to improve the current performance of soundscape / bioacoustic pattern detection and classification, at low signal to noise ratio, and/or into large data set (thousand of species, To of .wav).

Thus, the objectives here are three-fold: (a) to make the signal representation more robust, (b) to develop classification model more efficient on complex bioacoustic patterns, with supervised but also unsupervised approaches, and (c) to manage and collect additional training data to better model the variability of object categories (within some terrestrial or submarine recording experiments).
The frequent representations are either based on Fourier descriptors or MFCC. However we design mid-level or high-level features based on time-frequency segmentation, wavelet and discrete decomposition, compress sensing, non parametric bayesian representation, CNN / DNN.

The validation of the models are conducted from cetaceans to birds songs, bats to dolphins biosonars, from frogs to insects calls. Biodiversity analysis and environmental care projects are some of the direct outcomes of this research. You'll develop high level research, and you may collaborate with some industry, which could afterward offer you a permanent position in addition to academic opportunities.

* Your profile:
- Machine learning / Data Science or Applied Mathematics / Computer Science, or Electrical Engineering / Signal Processing,
- Solid mathematics knowledge (especially linear algebra and statistics),
- Creative and highly motivated, good programming skill (Python, Matlab, C,...),
- Fluent in English, both written and spoken,
- Prior knowledge in the areas of pattern recognition is a plus.

* Duration:
Internship: 3-6-9 months,
Phd: 3-4 years,
Postdoc: 1-2 years,
Engineer: 1-2 years.
Start date: As soon as possible.
Internship candidate would continue with a PhD.

* Location:
Some of the current positions are available on the French Riviera, university of Toulon - CNRS lab LSIS heading SABIOD, France. Your research will be conducted within collaborations, like National Parks (Port-Cros), international labs (in Italy, USA, Germany, Spain, Canada, Australia, UK...), and may include outdoors signal experiments on cetaceans, birds... Worldwide collaborations offers real opportunities to travel (Reunion, New Caledonia, USA, Canada). One of the position is related to La Réunion bioacoustic survey in Indian Ocean, another one in Pacific Ocean.

* Application:
Please send your application via email to Pr Glotin, Sabiod PI, glotin (at) univ-tln.fr, in one single .pdf file, including: your complete CV + grades during education (and for postdoc two of the main publications) + at least on letter of reference.

• Fully funded PhD Studentships in digital games at the Centre for Doctoral Training in Intelligent Games and Game Intelligence (UK). Received: 02/12/2014, Deadline: 30/01/2015.

10 fully-funded studentships are available for 2015/16 entry (covering fees at Home/EU rate and a stipend for four years) in the EPSRC Centre for Doctoral Training in Intelligent Games and Game Intelligence (IGGI), to conduct cutting-edge research and train the next generation of researchers, designers, developers and entrepreneurs in digital games.

IGGI is a collaboration between three UK Universities: the University of York, the University of Essex and Goldsmiths College, University of London. IGGI PhDs will be based at their principal supervisor’s University site with travel to the other sites for team and training activities.

IGGI brings together 60 industrial partners from the UK games industry and related organisations (including Sony Computer Entertainment Europe, The Creative Assembly, Codemasters, Rebellion, TIGA, and many more – see www.iggi.org.uk/our-industrial-partners/). IGGI PhDs will have the opportunity to engage in placements at these partner organisations, as well as international research labs, during their PhD research.

In addition to conducting research with world-leading academics and industry partners, you will participate in global game jams, co-organise and participate in an annual games symposium, and engage with industry-led seminars. You will receive training from experts in Games Development, Games Design, Research Skills and a range of optional modules including AI, computer vision, human-computer interaction, storytelling, graphics, sound and robotics.

You can contact potential supervisors directly (see http://www.iggi.org.uk/supervisors/ for a list), or we can help you to choose a principal supervisor from York, Essex or Goldsmiths based on your interests and background.

We expect substantial competition for IGGI studentships, and we encourage good students to submit applications as early as possible. The deadline for applications is 5pm on Friday 30th January 2015. Shortlisting will take place on Tuesday 10th February and successful candidates will be contacted within 24 hours. Interviews will be held at the University of York on Friday 20th February, 2015.

For further information and details of how to apply go to www.iggi.org.uk.

• Post-Doc Positions in Machine Learning Applied to the Social Sciences at the University of Chicago and TTIC (USA). Received: 02/12/2014.

Applications are sought for an NSF-funded post-doctoral positions in machine learning applied to the social sciences with James Evans from the University of Chicago and Nathan Srebro from TTIC.

Post-docs will be associated with Knowledge Lab (knowledgelab.org) in the Computation Institute (www.ci.uchicago.edu) at the University of Chicago (www.uchicago.edu), one of the leading research universities in the United States, and with the Toyota Technological Institute at Chicago (TTIC, www.ttic.edu), an elite computer science institute located on the University of Chicago campus, and supervised by Prof. James Evans of the University of Chicago and Prof. Nathan Srebro of TTIC and the Technion. Position are for 2-3 years, contingent on annual reappointment.

The aim is to develop and apply machine learning methods, including active learning, matrix learning and collaborative learning, to information gathering methods in the social sciences. Applicants are expected to have strong qualifications in machine learning or related fields, and will be introduced to social science research. They will have the opertunity to work with other post-docs, researchers and students in the social sciences, while being part of the vibrant machine learning group at TTIC. Minimum qualifications for this position are a PhD or expected PhD (by Summer 2015) in computer science, applied mathematics, statistics or a related field, with background in machine learning. Women and members of underrepresented groups are encouraged to apply.

Interested candidates must submit to --LOGIN--2617476d2123fa608a8b5938b8f73233ci[dot]uchicago[dot]edu :
1) cover letter, describing your interest in and qualifications for pursuing interdisciplinary research;
2) curriculum vitae (including publications list);
3) contact information for three or more scholars who know your work and are willing to write letters of reference;

Interested candidates may also contact Prof. Nathan Srebro (--LOGIN--4cbff318820090b94c06dab988f050f7ttic[dot]edu ) directly for further information.

Positions can begin immediately. Compensation includes a competitive salary and benefits plan and assistance with relocation to Chicago.

• CV Starr Fellowships/Postdoctoral Positions in Neuroscience at Princeton University (USA). Received: 01/12/2014.

The Princeton Neuroscience Institute aims to recruit several exceptional individuals for our CV Starr Fellowships in Neuroscience. These are individuals who are expecting or have recently obtained a PhD degree in neuroscience or areas relevant to neuroscience (molecular biology, psychology, computer science, engineering, physics, or mathematics). Please note that previous experience in neuroscience is not required.

The PNI focuses on interdisciplinary research in neuroscience, spanning from molecular, cellular and genetic approaches to systems and human cognitive neuroscience. PNI houses state of the art facilities for experimental research in all of these areas, as well as advanced computational resources that support theoretical and quantitative approaches to neuroscience.

The CV Starr Fellowship program provides a generous salary and a modest annual research budget. Fellows are encouraged to pursue independent research with the guidance and mentorship of one or more core faculty members in the Institute. We are particularly interested in projects that bridge the research programs of multiple laboratories. Fellows also have the opportunity to teach in our Institute programs.

For more information about the Institute, see http://www.princeton.edu/pni/.

Applications should be submitted online at https://jobs.princeton.edu/ (requisition # 1400754). Candidates must submit a CV, a list of publications, a statement of research interests and goals, and the contact information for three references. Finalists will be invited to Princeton to present a talk concerning their current research. This position is subject to the University's background check policy.

Princeton University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

• 2 postdoc positions in Machine Learning, Robotics & AI at University of Stuttgart and optionally MPI Tuebingen (Germany). Received: 01/12/2014, Deadline: 15/12/2014.

2 postdoc positions in Machine Learning, Robotics & AI at the Machine Learning & Robotics Lab, Univ. of Stuttgart

Optional joint appointment at the Max-Planck-Institute for Intelligent Systems in Tuebingen

The Machine Learning & Robotics Lab at University of Stuttgart is recruiting two highly-motivated postdoctoral researchers. The MLR lab strives to tackle problems that are both fundamental and real in the area of robotics and intelligent systems. This includes holistic approaches to learning, planning and inference on all levels from robotic control to higher-level geometric and symbolic reasoning. Applicants should have strong interest in this approach, esp. one of the following or related research topics:

* (Constrained) Optimization methods for robotics, robotic control or learning in robotics in general
* Combined task and motion planning in uncertain and probabilistic domains (bridging between symbolic/relational MDPs, belief planning and geometric planning)
* Learning, planning and inference in the case of multi-agents or concurrent actions (including multi-agent extensions for invRL)
* Active learning, experimental design and UCB/UCT type methods for autonomous robot exploration in relational domains

Please relate clearly to these topic in your Research Statement.

Researchers from the broader areas of modern AI (probabilistic reasoning, learning & planning), robotics and machine learning are welcome to apply. The candidates are expected to conduct independent research and at the same time contribute to ongoing projects in the areas listed above. Successful candidates can furthermore be given the opportunity to work with undergraduate, M.Sc. and Ph.D. students.

The positions may jointly be appointed at Stefan Schaal's Autonomous Motion Department at the MPI Tuebingen, in this case focusing on learning and optimization methods for robotic control.
See http://www-amd.is.tuebingen.mpg.de

A successful Post-doc applicant should have a strong track record of top-tier research publications in our community (e.g., at UAI, ICML, IJCAI, AAAI, NIPS, AISTATS or RSS, ICRA, IROS and respective journals). A Ph.D. in Computer Science, Physics or Maths (or another field clearly related to the above topics) as well as strong organizational and coordination skills are a must.

The positions are started with a 24 months contract and may be extendable up to 48 months. Payment will be according to the German TVL E-13 or E-14 payment scheme, depending on the candidate's experience and qualifications.

All complete applications submitted through the online application system found at

https://ipvs.informatik.uni-stuttgart.de/mlr/jobs/

will be considered. *Deadline for application is Dec 15h*. If you have good reasons for extension, please contact me directly.

Applicants may contact Marc Toussaint at *NIPS 2014*. Please also feel free to contact me informally by email on any issue (--LOGIN--4bc41dac8d8e86d369cdad96303814dainformatik[dot]uni-stuttgart[dot]de ).

• Postdoctoral position in cerebellar network modeling at the Okinawa Institute of Science and Technology Graduate University (Japan). Received: 30/11/2014.

A postdoctoral researcher position to model cerebellar function is available in the Computational Neuroscience Unit (https://groups.oist.jp/cnu) of Prof. Erik De Schutter at the Okinawa Institute of Science and Technology Graduate University.

Depending on previous experience research emphasis can be on analyzing population activity in network models of the olivocerebellum or on further development of XML-based methods for network model description and simulation, or a combination of both. Candidates should have experience in network modeling, preferentially using the parallel NEURON environment. Prior knowledge of cerebellar anatomy and physiology is a plus but not required. The postdoc will interact with other researchers and students in the lab who are working on cerebellar modeling projects.

We offer attractive financial and working conditions in an English language graduate university that emphasizes interdisciplinary research, located on a beautiful subtropical island. Send curriculum vitae, Candidates should mail a summary of research interests and experience, and the names of three referees to Prof. Erik De Schutter at --LOGIN--f4b0aab6969b8358294e58910e60ad3aoist[dot]jp

• PhD Studentships in Neurotechnology at Imperial College London (UK). Received: 28/11/2014, Deadline: 30/01/2015.

4-year studentships available in the Imperial College EPSRC Centre for Doctoral Training in Neurotechnology for Life and Health

Ten fully-funded studentships are now available for start in October 2015.

Neurotechnology is the use of insights and tools from engineering, mathematics, physics, chemistry, and biology to investigate neural function and treat dysfunction. Brain-related illnesses affect more than two billion people worldwide, and the numbers are growing. Reducing this burden is a major challenge for society. The Centre for Doctoral Training in Neurotechnology for Life and Health will train a new generation of multidisciplinary researchers at the interface of neuroscience and engineering, to address this challenge.

The Centre spans the Faculties of Engineering, Natural Sciences and Medicine at Imperial, with investigators from the Departments of Bioengineering, Mechanical Engineering, Electrical and Electronic Engineering, Computing, Chemistry, Physics, Life Sciences, and the Division of Brain Sciences. Directed by Dr Simon Schultz, Prof Bill Wisden and Prof Paul Matthews, it intends to admit approximately 14 students per year. All research projects will involve a team of supervisors, each of whom will bring complementary expertise to the project. In addition to researchers from across Imperial College, the Centre involves twenty industry and charity partners, as well as satellite research groups at the Crick Institute and the University of Oxford.

Studentships begin with a one-year MRes in Neurotechnology, which forms an integral part of the four year training programme. During this year, students will take 3 months of taught courses specially developed for the CDT, followed by laboratory rotations as part of a single research training project. After the first year, students enter the PhD phase having developed the interdisciplinary and technical skills to thrive in a cutting edge research environment, and make the most impact with their PhD.

Who should apply
Applicants should be seeking to undertake a multidisciplinary 4-year research training programme at the interface between neuroscience and engineering. Candidates should have, or expect to obtain, a first or upper second class degree, or non-UK equivalent, in an engineering or physical sciences discipline. Students with a biological or medical sciences background will be considered in exceptional circumstances, provided they can demonstrate substantial quantitative skills.

All studentships are open to UK or EU applicants who meet EPSRC eligibility criteria (see www.epsrc.ac.uk/skills/students/help/eligibility). A limited number of places is also available to UK or EU applicants, with no residency criteria.

International (ie non UK/EU) candidates may be considered for the CDT programme if they can provide their own full funding for the 4 years.

Funding
Studentships cover tuition fees and a tax free stipend of approximately £16,000 per year. A generous annual allowance is provided for research consumables and for conference attendance.

How to Apply
Visit www.imperial.ac.uk/neurotechnology/cdt for more information on the CDT as well as details of projects available and how to apply. Application deadline: 30th January 2015.

• Postdoc positions on Advanced Data-Driven Black-box modelling at KU Leuven (Belgium). Received: 27/11/2014, Deadline: 20/01/2015.

The research group KU Leuven ESAT-STADIUS is currently offering 2 Postdoc positions (1-year, extendable) within the framework of the ERC Advanced Grant A-DATADRIVE-B (PI: Johan Suykens) http://www.esat.kuleuven.be/stadius/ADB on Advanced Data-Driven Black-box modelling.

The research positions relate to the following possible topics:

1- Prior knowledge incorporation
2- Kernels and tensors\\ç 3- Modelling structured dynamical systems
4- Sparsity
5- Optimization algorithms
6- Core models and mathematical foundations
7- Next generation software tool

The research group ESAT-STADIUS http://www.esat.kuleuven.be/stadius at the university KU Leuven Belgium provides an excellent research environment being active in the broad area of mathematical engineering, including systems and control theory, neural networks and machine learning, nonlinear systems and complex networks, optimization, signal processing, bioinformatics and biomedicine.

The research will be conducted under the supervision of Prof. Johan Suykens. Interested candidates having a solid mathematical background and PhD degree can on-line apply at the website https://icts.kuleuven.be/apps/jobsite/vacatures/53177117?lang=en by including CV and motivation letter. For further information on these positions you may contact --LOGIN--2ad0b286283488e19f41d4b52417f53fesat[dot]kuleuven[dot]be .

• Faculty Position in Artificial Intelligence and Machine Learning at the University of California, Irvine (USA). Received: 24/11/2014.

The Department of Computer Science at the University of California, Irvine invites applications for a faculty position in the general area of artificial intelligence and machine learning. UC Irvine has international visibility in these areas with faculty such as Rina Dechter, Anima Anandkumar, Pierre Baldi, Alex Ihler, and Padhraic Smyth, as well as strong research groups in closely related areas such as computer vision, bioinformatics, and databases. The computer science department is colocated in the same school and building with the Department of Statistics and the Department of Informatics, offering a rich collaborative research environment. AI and machine learning have high visibility on campus through a number of different centers and institutes, including the Center for Machine Learning and Intelligent Systems (http://cml.ics.uci.edu), the newly formed UCI Data Science Initiative (http://datascience.uci.edu), and the Institute for Genomics and Bioinformatics (http://www.igb.uci.edu), providing many excellent opportunities for collaboration with the Schools of Biological Sciences, Engineering, Medicine, Physical Sciences, Social Sciences, and Education.

About UC Irvine: One of the youngest University of California campuses, UC Irvine is ranked first in the United States and fifth in the world among universities less than 50 years old, according to The Times Higher Education survey. Compensation is competitive, and includes priority access to purchase on-campus faculty housing at below-market prices. UC Irvine is located 4 miles from the Pacific Ocean and 45 miles south of Los Angeles. The area offers an excellent year-round Mediterranean climate, numerous recreational and cultural opportunities, and one of the highest-ranked public school systems in the nation.

Full application details can be found at:
https://recruit.ap.uci.edu/apply/JPF02666 (tenure-track assistant level)
https://recruit.ap.uci.edu/apply/JPF02668 (tenured associate level)
The appointment may be made at either the assistant or associate level.

The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. A recipient of an NSF ADVANCE award for gender equity, UCI is responsive to the needs of dual career couples, supports work-life balance through an array of family-friendly policies, and is dedicated to broadening participation in higher education.

• Faculty Position in Neuroengineering at Brown University (USA). Received: 24/11/2014, Closing date: 30/01/2015.

The School of Engineering and the Institute for Brain Science at Brown University invite applications for tenure-track faculty in Neuroengineering, as part of continued strategic growth in Biomedical Engineering and Brain Science that includes several new faculty positions.

A Neuroengineering faculty member is sought in an expansion of Brown’s existing, high-impact research and educational program in Neuroengineering. Candidates for the Neuroengineering position are expected to bring new expertise and to bridge areas of research strength within Biomedical Engineering and the Brain Science community, and to identify collaborative opportunities with other faculty in the School of Engineering and among additional Brain Science faculty.

QUALIFICATIONS

The successful applicant should have a record of research achievements in areas within neuroengineering and neurotechnology, such as engineering of advanced neural interfaces with background in ultra low power microelectronic design and/or RF microcircuits and electromagnetics for wireless applications; active biomaterials and device technologies for repair or restoration of the injured nervous system; neural decoding; or rehabilitation neuroengineering. A strong connection to and motivation towards translational and clinical research is preferred.

The primary appointment will be in the School of Engineering within its program in Biomedical Engineering, with the possibility of affiliation in Electrical Sciences and Computer Engineering, and/or in another Institute for Brain Science-affiliated department. The position is open at all levels including Assistant, Associate, and full Professor rank.

APPLICATION INSTRUCTIONS

All candidates should submit a CV with a cover letter. The letter should discuss the candidate’s research plans and laboratory requirements. Expectations for the various levels of appointment, and instructions for additional materials to be submitted are:

• Assistant Professor, tenure-track: Candidates should hold a Ph.D. in applicable engineering or related disciplines and demonstrate potential for outstanding research and teaching. Some postdoctoral training is preferred. Candidates should arrange for at least 3 letters of reference to be submitted to the Interfolio address below.

• Associate Professor, tenure-track or with tenure: Candidates should have an outstanding record of research accomplishment, scholarly achievement, an established record of external funding, and concomitant strong evidence of emerging leadership in their field. Candidates should provide the names of 5 references whom the search committee may contact directly.

• Professor, tenure-track or with tenure: Candidates should have an exceptional record of research accomplishment, scholarly achievement, a record of sustained external funding, with concomitant nationally or internationally recognized leadership in their field. Candidates should provide the names of 5 references whom the search committee may contact directly.

All application materials should be submitted online through
https://apply.interfolio.com/27776

Email: --LOGIN--729194d789650d18c4da2949a71a2c60brown[dot]edu

Applications and all supporting materials should be received by January 30, 2015 to receive full consideration; however, the positions will remain open until filled or the search is closed.

• Professor of Systems and Circuits Neuroinformatics at ETH Zurich and University of Zurich (Switzerland). Received: 24/11/2014, Closing date: 15/01/2015.

The Department of Information Technology and Electrical Engineering (www.ee.ethz.ch) at ETH Zurich and the Faculty of Science (www.mnf.uzh.ch) of the University of Zurich invite applications for the above-mentioned position in the Institute of Neuroinformatics (INI, www.ini.uzh.ch) to complement and extend its vigorous research activities.

The research of the candidate should be directed towards the theory and practice of computation in neural systems and behavior, with a strong interest in theory driven experimental neuroscience and information processing in neural circuits. The successful candidate will combine cutting-edge theories and experiments in neural information processing and computation to explore the causal links between neuronal circuits and behaviour in vertebrates. An ability to develop requisite neurotechnologies will be an asset. The successful candidate will contribute to a highly collaborative multi-disciplinary environment.

We encourage internationally recognized candidates with strong research records to apply. We seek to fill either a tenured or tenure-track professorship position. The new professor will be expected to teach undergraduate level courses (German or English) and graduate level courses (English).

The INI is a joint institute of the Faculty of Science of the University of Zurich and the Department of Information Technology and Electrical Engineering of ETH Zurich. The INI fosters research at the interface between neuroscience, computing and engineering through its research, teaching and graduate training, and specialist international workshop programs. Its members conduct a coordinated research program by means of multidisciplinary teams composed of about 70 biologists, physicists, psychologists, engineers and computer scientists. Through many levels of experiment and theory INI scientists explore how the circuits of the brain process information to generate intelligent behavior. They exploit new developments in silicon technology and computers as a means of developing models and hardware implementations of information processing and storage in the brain. In order to strengthen interdisciplinary research, the new professor should have a strong overlap with existing interests in the INI, and also forge links with other institutes of the University of Zurich and the ETH Zurich (for example: Biology, Brain Research, Pharmacology, Computer Science, Information Technology and Electrical Engineering, Mathematics, and Physics).

To apply online, please go to http://www.facultyaffairs.ethz.ch/facultypositions/prof_neuroinformatics and follow the link there.

Applications should include a curriculum vitae, a list of publications and statements of future research and teaching activities. The letter of application should be addressed to the President of ETH Zurich. The closing date for applications is 15 January 2015. ETH Zurich is an equal opportunity and family friendly employer and is further responsive to the needs of dual career couples. We specifically encourage women to apply.

• PhD in Characterising motor impairments in autism using computational techniques at the University of Manchester (UK). Received: 20/11/2014, Deadline: 26/11/2014.

PhD in “Characterising motor impairments in autism using computational techniques”. Applications are invited for this fully-funded PhD position (fees and salary) in the lab of Dr Emma Gowen in the Faculty of Life Sciences, University of Manchester

Deadline: 26th Nov 2014
Start date: September 2015
Duration: 4 years
Eligibility: Candidates must be nationals of the UK or other EU country

This project will apply computational and statistical methods to motion tracking data in order to determine the nature of motor impairments in autistic individuals. Autism is a life-long developmental condition that affects how a person communicates and interacts with people. In addition to these social symptoms, autistic individuals have altered motor control such as less accurate eye-hand coordination and abnormal gait patterns causing considerable problems with daily living and social skills. Despite this impact, motor problems are poorly characterised. In this project, computational and statistical methods (e.g. feature extraction, machine learning) will be applied to movement data recorded from autistic and non-autistic people in order to address the following questions: Can motor ability differentiate between autistic and non- autistic groups? Can motor ability be used as a diagnostic marker for autism? Are there different subgroups of motor impairment present in the autistic population?

For more details of the project please visit:
http://www.ls.manchester.ac.uk/phdprogrammes/projectsavailable/project/?id=1891

• Faculty position in Machine Learning at EPFL, Lausanne (Switzerland). Received: 20/11/2014.

We have an open faculty position in machine learning at the Computer Science Department of the EPFL in Lausanne, Switzerland.

http://professeurs.epfl.ch/page-113108-en.html

The position can be at the level of tenure track assistant professor or senior tenured professor.
The committee starts to look at applications on Dec. 1st, but later applications will also be considered.

The EPFL school of computer and communication sciences offers an attractive international environment with world-class research in different areas of computer science, communication sciences and strong links to other departments on campus.

• Postdoctoral Position in Data Mining of Human Activity at Stanford University (USA). Received: 19/11/2014.

The Mobilize Center at Stanford University (http://mobilize.stanford.edu), a newly established National Institutes of Health (NIH) Big Data to Knowledge (BD2K) Center for Excellence, has openings for several Distinguished Postdoctoral Fellows.

The proliferation of devices monitoring human activity, including mobile phones and an ever-growing array of wearable sensors, is generating unprecedented quantities of data describing human movement, behaviors, and health. Modeling and gaining insight from these massive and complex datasets will require novel algorithms for large-scale data processing and machine learning.

The Mobilize Center is bringing together leading data science and biomedical researchers to integrate and understand these data using innovative machine learning and data mining techniques, combined with state-of-the-art biomechanical modeling. The Center is led by Scott Delp, along with co-investigators Trevor Hastie, Jure Leskovec, Christopher Re, Stephen Boyd, Jennifer Widom, Abby King, Russ Altman, and Margot Gerritsen.

We are searching for outstanding creative individuals to develop novel data mining and machine learning tools to study human mobility and health. The ideal candidate will have strong research skills in data mining and machine learning, biomechanics, and experience developing computational methods. Prior experience with wearable sensors, statistical learning, optimization, game theory, software development, medical informatics, and other data science methods is desirable.

Interested applicants should:
(1) Send a letter indicating their interest and experience, a CV, and copies of two representative publications via e-mail to
--LOGIN--cacf2143fa2b52124bc0aae7bde8f6castanford[dot]edu .
(2) Complete the short online form:
https://docs.google.com/forms/d/1Rrc7JurC4HfA-AiD7iJqXwdmWHvm3jzKHrVeO9BjLcU/viewform
(3) Arrange for two letters of reference to be sent to
--LOGIN--cacf2143fa2b52124bc0aae7bde8f6castanford[dot]edu within two weeks of submitting (1) and (2).

We encourage applicants to also send links to software that they have developed. The review of applications will begin immediately and continue until the positions are filled.

Stanford University is an affirmative action and equal opportunity employer, committed to increasing the diversity of its workforce. It welcomes applications from women, members of minority groups, veterans, persons with disabilities, and others who would bring additional dimensions to the university's research and teaching mission.

• Post-Doc position in Data Science for Molecular Data Analysis at the Medical University of Vienna (Austria). Received: 19/11/2014.

The Medical University of Vienna has an opening for a half-time postdoc position at the Center for Medical Statistics, Informatics and Intelligent Systems. The position is limited to 5 years, with the opportunity to be converted to a tenure-track position. The remaining 50% to a full time position can be gained by acquiring research grants.

A doctorate in Medical Computer Science, Biomedical Engineering or similar field is required. Candidates should have a background in Data Science (e.g. Machine Learning and Pattern Recognition) and be familiar with the analysis of molecular data (e.g. from genomics or proteomics).

The official job announcement (in German) can be found at
http://www.meduniwien.ac.at/homepage/content/organisation/dienstleistungseinrichtungen-und-stabstellen/personalabteilung/bewerbung-stellenangebote/aktive-ausschreibungen/nr45-medizinische-statistik-informatik-und-intelligente-systeme-kennzahl-1896014/

If you are interested, please apply directly or send your CV to me (--LOGIN--71c8e7d55a3844cca1dcd9ad9415a4f9meduniwien[dot]ac[dot]at ) until November 27, 2014 and I can guide you through the application procedure.

• PhD on Mixed Signal IC Verification at Infineon Technologies, Villach (Austria). Received: 19/11/2014.

PhD Thesis: Mixed Signal IC Verification
Location: Villach
Job code: 5066
Start date: 01.12.2014

https://recruitingapp-2721.de.umantis.com/Vacancies/5066/Description/2

The goal of this PhD activity is to develop and investigate new methods and concepts for verification of Mixed-Signal Smart Power ICs for various automotive applications, like lighting, heating, power distribution, motor driving etc. Short time to market requirements, increasing complexity, miniaturisation of modern ICs and latest safety standards result in stringent requirements and considerable effort for the pre-silicon verification process. To satisfy these needs Infineon Technologies Austria together with KAI and the Vienna University of Technology will set up a research project on new methods and concepts for IC verification.

Within this PhD activity your tasks will be

- Behavioral modelling of analog macro-blocks in VHDL, VHDL-AMS, Verilog-A(MS)
- Definition of analog mixed-signal test metrics including coverage models and fault models
- Evaluation of the performances of concolic (concrete and symbolic) test methods on smart power ICs
- Generation of automatic test patterns for full chip pre and post verification to meet the targeted coverage goals
- Investigation on SAT and SMT methods for ATPG (Automatic Test Pattern Generation)

The duration of the PhD-project is 3 years. The student will be placed at TU Vienna and will closely cooperate with the IC developments groups at Infineon Technologies and KAI in Villach.
This project will be supervised by Prof. Radu Grosu (--LOGIN--329580ff1adb8ebdd351767f63288c05tuwien[dot]ac[dot]at ) from the Vienna University of Technology.

Your Profile

Must have an university degree in either electrical engineering with focus on digital design or in computer engineering with focus on embedded systems. Experience with modern EDA tools for the design of silicon devices is mandatory, as well as fluent English. Willingness to travel between Vienna and Villach, is required. Some industry experience and basic German skills are preferred.

• 4 year postdoctoral position at the University of Manchester (UK). Received: 17/11/2014, Deadline: 11/12/2014.

We seek a skilled and enthusiastic individual to develop cutting-edge analysis and data-mining techniques for multi-neuron recording data, and apply those techniques to the analysis of extensive data-sets. The successful candidate will join a newly established team that tackles the challenging problems of how to make sense of the deluge of circuit-wide neural activity data, from cortical cell assemblies to invertebrate central pattern generators
(http://www.systemsneurophysiologylab.ls.manchester.ac.uk/)

The ideal candidate will hold a PhD in a related discipline (e.g. computational neuroscience, computer science, statistics, physics, engineering), have good programming skills, and experience in either neurophysiological data or computational modelling of neural circuits. The position is available from January 2015 for up to 48 months.

For more details and to apply please visit:
https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=8837

Application deadline: 11th December 2014

For all informal inquiries:
--LOGIN--ecc0104eb303d8e59849414ae041fac1manchester[dot]ac[dot]uk

• Postdoc position: Whittaker Research Fellow in Mathematics for Data Science at the University of Edinburgh (UK). Received: 13/11/2014, Closing date: 08/12/2014.

The School of Mathematics, University of Edinburgh wishes to appoint a WHITTAKER RESEARCH FELLOW in MATHEMATICS FOR DATA SCIENCE. The fellowship is a fixed term contract for two years.

We are seeking outstanding candidates with a track record of research developing new mathematical or statistical methods for the analysis and processing of large-scale datasets. The candidates' research, which can be foundational or applied, will relate to themes that include (but are not limited to) structure identification, dimensionality reduction and machine learning. Successful candidates will connect with existing areas of expertise in the School of Mathematics and, more broadly, with relevant research within the University. They will demonstrate a strong independent research programme and will be committed to teaching. The successful candidates will join Edinburgh Data Science, a 1000-researcher network of excellence that coordinates the University’s activities in data science; they will have the opportunity to participate in the Centres for Doctoral Training ‘Data Science’ and ‘Maxwell Institute Graduate School in Analysis & its Applications.’

Please include with your application:
- a CV with publication list
- outline of proposed research programme

In addition, please arrange for three referees to send letters of recommendation directly to --LOGIN--a235bdffea840f569afa1547b3b767a3maths[dot]ed[dot]ac[dot]uk by the closing date of 8th December 2014.

Interviews will be held in early January 2015 and you must be willing to take up the position on or before 1 September 2015.

All applicants should apply online by clicking the apply link via our vacancy website and submitting a CV and research statement.

The University of Edinburgh promotes equality and diversity. The School of Mathematics holds a Bronze Athena SWAN award in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology, and is a supporter of the London Mathematical Society Good Practice Scheme.

• Senior Research Scientist (tenured) in computational data analysis at the Finnish Institute of Occupational Health, Helsinki (Finland). Received: 13/11/2014, Deadline: 30/11/2014.

The Brain Work Research Centre at the Finnish Institute of Occupational Health is seeking for a SENIOR RESEARCH SCIENTIST

Your task is to lead research on computational data analysis and to devise new computational methods and build expertise that benefit the research and services for the needs of the future work life. You will advance the use of the heterogeneous data sets that have been and are being collected at the institute, including data sets related to physiology, health, cognition, work environment, and spanning measurements from laboratories to work places. You will be responsible for national and international research collaboration in the topic of the position. You will apply for funding, lead research projects as well as supervise students and other more junior staff members. You may participate to education and teaching within area of your expertise.

We require a doctoral degree in computer science or other suitable discipline, as well as thorough understanding of computational data analysis. The senior research scientist should have a track record after the doctoral degree of successful collaboration in international multidisciplinary environment as well as of applying for research funding, managing projects, and collaboration with companies. We require excellent communication skills in written and spoken English. We may decide to hire a specialist research scientist (more junior position, doctoral degree required) for the said position, if the candidate is suitable but does not yet qualify for a senior research scientist position.

The position is tenured, with a four month probation period. The Senior Research Scientist is an academic track position, roughly equivalent to associate professor in a typical university career system. The location of work is in Meilahti, Helsinki.

Interested? Please fill in and submit an electronic application form at latest on 30 November 2014 at https://rekry.oikotie.fi/recruitment/jobs/tyoterveyslaitos/o/4537/en_US/en_US/details
Please attach to your application as a pdf file curriculum vitae (including list of publications), the names and contact information of references, and a motivation letter that includes a brief description of your research interests.

Additional information:
Kai Puolamäki, Docent, PhD, Director, Brain Work Research Centre,
--LOGIN--d37d051143f6fde88b61cb4a7228623bttl[dot]fi , +358 30 474 2445
Minna Huotilainen, Docent, PhD, Research Professor,
--LOGIN--c1739ff7c523edfc54c65d3859b364b1ttl[dot]fi , +358 30 474 2517
Matti Gröhn, PhD, Team Leader,
--LOGIN--5288520718f17aa0a6246670ab1d3124ttl[dot]fi , +358 30 474 2687

The Finnish Institute of Occupational Health has a web site at www.ttl.fi

You can find online version of this call text at https://rekry.oikotie.fi/recruitment/jobs/tyoterveyslaitos/o/4537/en_US/en_US/details

The Finnish Institute of Occupational Health (FIOH) is a research and specialist organization that promotes occupational health and safety and the well-being of workers. It is an independent institution under public law, functioning under the administrative sector of the Ministry of Social Affairs and Health. FIOH has six regional offices, and its headquarters are in Helsinki. The Brain Work Research Centre (BWRC) at FIOH studies how brain and senses function and how this is influenced by human and work related factors. One of the focus areas of the BWRC is the study of human information processing in the modern and future ICT environments.

• Postdoc Position at Rutgers University, New Jersey (USA). Received: 13/11/2014.

Postdoc position available at Rutgers University for a joint project between Rutgers Discovery Informatics Institute and Rutgers Cancer Institute of New Jersey.

Our research focuses on the design, development, and implementation of new approaches in high-performance computing, large-scale data analytics, pattern recognition, and computational imaging for resolving challenging problems in cancer biology, investigative medicine, and biomedical informatics.

We are looking for outstanding candidates who have earned a Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering or a related field. The successful candidate will be expected to work independently as well as part of a cross-disciplinary team. This individual must have excellent communications skills and be willing to work closely with both clinical and research faculty and students.
Responsibilities include development of new algorithms, software and technologies as they relate to ongoing genomics, imaging and informatics programs and initiatives. The successful candidate is expected to help support ongoing NIH- and NSF-funded research projects and pursue additional funding.

Required skills:
- Working knowledge of at least two of the following: Perl, Python, Java, Matlab, R, C/C++
- Experience working within Linux environments
- Experience with and excellent understanding of statistical analysis
- Knowledge of high performance parallel/distributed computing concepts and practices

Other skills:
- Some understanding of molecular biology
- Experience working with bioinformatics tools and understanding of common bioinformatics algorithms

We encourage qualified candidates to send their resume, cover letter and three references to: --LOGIN--88b59c5ec3d3ad774a5a600c0fed3715rutgers[dot]edu and --LOGIN--5e7b863729147b528c93d0b0750bc7c8cinj[dot]rutgers[dot]edu

Rutgers, The State University of New Jersey is an Equal Opportunity Employer.

• Postdoc position in Computer Vision at the University of East Anglia, Norwich (UK). Received: 11/11/2014, Closing date: 15/12/2014.

Senior Research Associate in Computer Vision (Universities of East Anglia, Edinburgh and Cambridge)

University of East Anglia - School of Computing Sciences
Location: Norwich
Salary: £31,342 to £37,394
Hours: Full Time
Contract Type: Contract / Temporary (4 years)
Placed on: 7th November 2014
Closes: 15th December 2014
Job Ref: RA1128

We have a position open for a talented individual to undertake research that spans both geometric and photometric computer vision. The arc of the research project covers several topics including camera calibration, derivative domain processing and the role that illumination plays in image understanding. The unifying theme is a surprising link recently discovered – and to be studied in this research project – between the geometry and photometry of vision.

The project is collaboration between Prof Graham Finlayson (Computing Sciences, UEA), Prof Robert Fisher (Informatics, Edinburgh), and Prof Roberto Cipolla (Information Engineering, Cambridge). While mainly based at UEA (Norwich, east of Cambridge), the successful candidate would be expected to spend significant time in Edinburgh and also to visit Cambridge. There are two industrial partners (Apple Inc. and Spectral Edge Ltd) and we expect there will be opportunities to visit and work at partner sites for extended periods.

The ideal candidate would have a background in computer vision or image processing (though, exceptional candidates with other relevant experience might also apply) and a track record of successful research delivery (evidenced by papers, working in industry etc). At a minimum, the candidate should have (or about to have) completed a PhD in computer science, engineering or other relevant numerate discipline. As this position is at a senior level, the successful candidate will be responsible for some project management and should also expect to play a leadership role in the UEA research group (e.g. mentoring PhD students).

You must have a degree in one of the following, Computing, Mathematics, Physics or a related numerate discipline and fulfil all essential elements of the person specification. This full time post is available from 31 January 2015, or as soon as possible thereafter but no later than 1 March 2015, for a period of 4 years.

Closing date: 12 noon on 15 December 2014.

The University is a Bronze Athena Swan Award holder, currently working towards Silver.

See this URL for application information (blue button):
http://www.jobs.ac.uk/job/AJY387/senior-research-associate-in-computer-vision-universities-of-east-anglia-edinburgh-and-cambridge/

• Postdoc position in Gesture Recognition at INSA Rouen and ITEKUBE, Normandy (France). Received: 10/11/2014.

GESTURE RECOGNITION POSTDOCTORAL RESEARCHER

The following postdoctoral position is available to work on sequence learning for multimodal gesture recognition with Stéphane Canu (INSA Rouen).

Location: Normandy - Rouen (France) – ITEKUBE Caen (France)
Starting date: ASAP
Duration: 2 years (1+1)
Net salary: ranges between ~1,800 Euros and 2,400 Euros per month, commensurate with experience.

PROJECT SUMMARY: this project consists of a joint project between Professor Stéphane Canu of INSA Rouen and David Ulrich of ITEKUBE

ITEKUBE has considerable experience building large multi touch tables (46inch) and wants to improve its HMI (human machine interface). By integrating machine learning it will be possible to expand gesture recognition from the simplest to the most complex one in a multimodal environment (for instance by using multi touch inputs and kinect as the same time), leading to a more intuitive and keyboard/mouse-free use of a computer.

The successful candidate will be undertaking novel research in multimodal signal learning methods, real-time gesture representation and recognition, data fusion and intention prediction to be included in the next generation of multi touch table HMI among others.

EXPERIENCE: Postdoctoral researcher (new Ph.D. or more experienced), extensive knowledge of support vector machines and time series modeling. Prior work with gesture recognition and/or signal recognition would be most appropriate.

SOFTWARE DEVELOPMENT ENVIRONMENTS: Should be familiar with MatLab, and program in C++ on PC's with Windows 7/8 would also be desirable.

Interested individuals should send a CV, representative publications, a statement of research interests, and three letters of reference to scanu at insa-rouen.fr and david at itekube.com

• Postdoctoral positions in Computational Systems Neuroscience (sensory processing & decision-making) at the University of Rochester, NY (USA). Received: 10/11/2014.

We are looking for 2 postdoctoral researchers to join the group of Ralf Haefner in the department for Brain & Cognitive Sciences at the University of Rochester (NY). The focus of our group is on understanding the neural basis of perceptual inference. Based on the assumption that the brain performs probabilistic inference using an internal model of the world, we ask questions such as: What is the nature of the internal model? How is it learnt? How are posterior beliefs represented by spiking responses of populations of neurons and what algorithm does the brain use to compute its beliefs?

The position requires strong mathematical and good programming skills. The ideal candidate would also be familiar with machine learning techniques, especially relating to generative models and MCMC-sampling-based probabilistic inference. Possible research projects range from purely theoretical to data-driven. Our collaborations with electrophysiology labs allow for testing of theoretical models using state-of-the-art cortical population recordings in vivo and, if desired, the opportunity to record your own data.

More information about past work is available here: http://tinyurl.com/rmhaefner and a preprint of a manuscript representative of future work here: http://arxiv.org/abs/1409.0257
For details on current and possible future projects, and general information, please contact us directly. The successful candidate with join a world-class department with a wide range of research interests (https://www.bcs.rochester.edu/research/index.html) and a strong tradition in probabilistic modeling.

Start date and duration are flexible. Please send applications including a CV and names of 2-3 references by email (--LOGIN--1d04cd78fee508ace92c18409a1b7a02bcs[dot]rochester[dot]edu ). Please contact us as soon as possible if you'd like to meet at the upcoming SfN or NIPS conferences.

• Faculty positions in applied statistics at the University of Notre Dame (USA). Received: 10/11/2014, Deadline: 01/12/2014.

The University of Notre Dame has committed four new faculty positions to the Department of Applied and Computational Mathematics and Statistics (ACMS) to be filled over the next two years. Positions at both the junior and senior level are available. This year we seek to hire a statistician at the tenured level, and a statistician at the tenure-track level, in any areas of research that build on our existing activities. Preference will be given to applicants whose statistical research includes multi-disciplinary collaborations.

ACMS includes research groups in applied mathematics, statistics and computational science. The current fourteen faculty members have research interests in Bayesian statistics, statistical bioinformatics and high-dimensional data, finance, statistics in networks and Big Data, multiscale modeling of blood clotting and biofilms, mathematical modeling in cell biology and tumor growth, MEMS, and numerical and computational algorithms and computational neuroscience. ACMS offers a Bachelor of Science, a doctoral degree, a research masters degree and a professional masters degree. ACMS is a member of the College of Science.

The successful applicant must have a doctorate in statistics, biostatistics or a closely related field, and a record of success in both research and teaching. The teaching load in ACMS is 3 courses per year, and the position begins in August 2015. Applications received by December 1, 2014 will be given full consideration.

Applications, including a cover letter, curriculum vitae and research and teaching statements, should be filed through MathJobs (www.MathJobs.org). Applicants should also arrange for at least three letters of recommendation to be submitted through the MathJobs system. These letters should address the applicant's research accomplishments and supply evidence that the applicant has the ability to communicate articulately and teach effectively. Senior faculty are invited to contact the Department Chair, Steven Buechler, at --LOGIN--e17a726aef955c3a4dcd9993df168fc8nd[dot]edu , at any time.

Notre Dame is an equal opportunity employer, and we particularly welcome applications from women and minority candidates.

• Faculty position in Information Engineering and Medical Neuroscience at the University of Cambridge (UK). Received: 07/11/2014, Closing date: 09/01/2014.

Applications are invited for a University Lectureship (~ US Assistant/Professor equivalent) in the Control Group in the Department of Engineering. Exceptional candidates are sought with the potential to develop a record of world-class research commensurate with the Department’s international reputation.

The current faculty members in the Cambridge Control Group are: Emeritus Professor Keith Glover, Professor Jan Maciejowski, Professor Rodolphe Sepulchre (Professor of Engineering), Professor Malcolm Smith (Head of Group) and Dr Glenn Vinnicombe (Reader). Candidates will be expected to contribute to undergraduate and graduate teaching in the general area of Control Engineering and possibly other related areas of Information Engineering.

The closing date for applications is 9 January, 2015. The interviewing panel will meet soon after the closing date. Short-listed candidates will be invited to visit the Department, give a short seminar/lecture and attend a formal interview.

The field of this University Lectureship is at the interface between Information Engineering and Medical Neuroscience. Unprecedented challenges and opportunities exist in this area as a consequence of a fast-developing technology of actuating and sensing devices at the neuronal scale (e.g. neural implants, multi-electrode recordings, and optogenetic techniques).

The successful candidate will preferably be working in the field of Control Engineering with a research record in problems of medical neuroscience, and with appropriate theoretical expertise (nonlinear systems). It could be filled by someone whose primary expertise is in a different branch of Information Engineering, but the ability to contribute to teaching in one or more of the ‘core’ areas of Information Engineering (Control, Signal processing, Information theory, etc) will be expected.

Medical neuroscience and brain science is a current focus of most national and international funding agencies. Funding opportunities will exist in conjunction with Cambridge Neuroscience. The lectureship will strengthen the Department’s Bioengineering strategic theme.

Informal enquiries can be made to Professor Rodolphe Sepulchre (--LOGIN--d0e5712d915c20c6e58a76d0d2d95ab5eng[dot]cam[dot]ac[dot]uk ) or Professor Malcolm Smith (--LOGIN--597c4b2bbcc2a85e9e2539b205d52caeeng[dot]cam[dot]ac[dot]uk ).

• Research positions in Source Separation for Musical Audio Repurposing at the University of Surrey (UK). Received: 06/11/2014, Closing Date: 27/11/2014.

- Post 1: Research Fellow in Source Separation for Musical Audio Repurposing

http://jobs.surrey.ac.uk/071314

University of Surrey, Department of Electronic Engineering

Salary: GBP 30,434 to GBP 37,394

Closing Date: Thursday 27 November 2014

Reference: 071314

Applications are invited for a Research Fellow to work full-time on an EPSRC funded project “Musical Audio Repurposing using Source Separation” from 5 January 2015 to 30th June 2017 (30 Months). This project will develop a new approach to the challenge of high quality musical audio repurposing, focussing on soloing, desoloing, remixing and upmixing. To tackle this, the project will investigate new methods for musical audio source separation, in parallel with investigating new perceptual evaluation measures for audio source separation.

The candidate will be responsible for investigating and developing new and enhanced methods for high quality musical audio source separation. These may include methods based on score-informed musical source separation, sparse representations, time-frequency methods, non-negative matrix factorisation (NMF) & high-resolution NMF, and interactive methods employing user feedback. The candidate will be working as part of a team, with two other researchers focussing on perceptual evaluation methods and software development of open-source research tools.

The successful applicant is expected to have a PhD in electronic engineering, computer science or a related subject, and is expected to have significant experience in audio signal processing research. Research experience in one or more of: audio source separation, audio upmixing, spatial audio coding, multichannel audio processing, musical audio analysis, automatic music transcription, sparse representations and/or machine learning is desirable.

The project will be led by Prof Mark Plumbley in the Machine Audition Lab of CVSSP, and in collaboration with the Institute of Sound Recording (IoSR). CVSSP is one of the major research centres of Surrey's Department of Electronic Engineering (EE), the top ranked UK EE department in both the RAE 2008 and in the national league tables. CVSSP is one of the largest research centres in the UK focusing on signal processing, vision, graphics and machine learning, with 120+ members comprising academic and support staff, research fellows and PhD students. The IoSR is a leading centre for research in psychoacoustic engineering, as well as being home to the Tonmeister undergraduate degree programme. It has a focused team of 12 researchers, plus several industrial collaborators, and a range of professional facilities of the highest standards, including three recording studios and an ITU-R BS 1116 standard critical listening room.

Informal enquires are welcome, to: Prof Mark Plumbley
(--LOGIN--5e531169a66447ab32bae317ff248addsurrey[dot]ac[dot]uk ).

For further details and to apply online visit http://jobs.surrey.ac.uk/071314

We acknowledge, understand and embrace diversity.

- Post 2: Research Software Developer in Musical Audio Repurposing using Source Separation

http://jobs.surrey.ac.uk/071214

University of Surrey, Department of Electronic Engineering

Salary: GBP 30,434 to GBP 37,394

Closing Date: Thursday 27 November 2014

Reference: 071214

Applications are invited for a Research Fellow / Research Software Developer to work full-time on an EPSRC funded project “Musical Audio Repurposing using Source Separation” from 5 January 2015 to 30th June 2017 (30 Months). This project will develop a new approach to the challenge of high quality musical audio repurposing, focussing on soloing, desoloing, remixing and upmixing. To tackle this, the project will investigate new methods for musical audio source separation, in parallel with investigating new perceptual evaluation measures for audio source separation, and developing new open-source research software tools.

The candidate will be responsible for developing an extensible open-source research software framework, in conjunction with other researchers in the project. The framework will include audio separation and repurposing algorithms, objective assessment tools and example datasets. They will also develop user software and demonstrators for audio repurposing, such as upmixers for MPEG Surround (SAC) and MPEG Spatial Audio Object Coding (SAOC), and will work with a specialist app developer to create a demonstrator remixing app. The candidate will be working as part of a team, with two other researchers focussing on audio source separation and perceptual evaluation methods.

The successful applicant is expected to have excellent mathematical and programming skills, as well as either a Masters degree in electronic engineering, computer science or related subject, or equivalent professional experience. They will have at least 1 year's experience in software development relevant to audio and music signal processing, in topics such as digital signal processing, acoustics, binaural audio, multichannel audio, audio coding, speech processing, and/or music information retrieval. Significant experience of development in both Python and Matlab as well as C/C++ is desirable. Research experience in audio signal processing or experience of working closely with audio signal processing researchers is also desirable.

The project will be led by Prof Mark Plumbley in the Machine Audition Lab of CVSSP, and in collaboration with the Institute of Sound Recording (IoSR). CVSSP is one of the major research centres of Surrey's Department of Electronic Engineering (EE), the top ranked UK EE department in both the RAE 2008 and in the national league tables. CVSSP is one of the largest research centres in the UK focusing on signal processing, vision, graphics and machine learning, with 120+ members comprising academic and support staff, research fellows and PhD students. The IoSR is a leading centre for research in psychoacoustic engineering, as well as being home to the Tonmeister undergraduate degree programme. It has a focused team of 12 researchers, plus several industrial collaborators, and a range of professional facilities of the highest standards, including three recording studios and an ITU-R BS 1116 standard critical listening room.

Informal enquires are welcome, to: Prof Mark Plumbley
(--LOGIN--5e531169a66447ab32bae317ff248addsurrey[dot]ac[dot]uk ).

For more information and to apply online, visit http://jobs.surrey.ac.uk/071214

We acknowledge, understand and embrace diversity.

• Post Doctoral Position in Embodied Neural Computation at the University of Southern Denmark, Odense (Denmark). Received: 05/11/2014.

The Embodied AI and Neurorobotics Lab, part of Centre for BioRobotics at the Maersk Mc-Kinney Moller Institute at the University of Southern Denmark, invites applications for a position as postdoc in embodied neural computation. The position is available starting from March 2015, or as soon as possible thereafter, for up to two years.

Description

The recently established Embodied AI and Neurobotics lab aims to 1) develop modular bio-inspired robots and their modular neural mechanisms towards embodied autonomous locomotion systems with adaptivity, energy efficiency, and versatility; 2) understand complex dynamical interactions between physical and computational components in embodied neural closed-loop systems. Recent developments of our embodied (neuro) robotic systems include Locokit robots (http://locokit.sdu.dk/) and AMOS hexapod walking robots (http://manoonpong.com/AMOSII.html).

To further this vision, we are recruiting one highly motivated postdoctoral scientist in the fields of Machine learning, Computational Neuroscience, Embodied AI, and Robotics, to work on neural predictive control for goal-directed learning and multi- scale adaptation. The predictive control will be used for autonomous acoustic navigation and communication of walking robots in complex environments.

The successful candidate will be expected to have 1) a PhD degree in electrical engineering and computer science, computational neuroscience, artificial intelligence, physics of complex systems, or a quantitative field, 2) articles published in international peer-reviewed journals documenting experience with embodied neural computation, and 3) strong background on reinforcement learning (such as continuous time actor-critic), artificial neural networks (in particular reservoir computing), nonlinear dynamic systems and robotics (e.g., walking robots), and 4) good programming skills (e.g., C, C++). Additionally, the candidate should have excellent writing skills and be able to work independently. The successful candidate for the position will be affiliated to Centre for BioRobotics at the Maersk Mc-Kinney Moller Institute, the University of Southern Denmark.

Applicants should provide a covering letter explaining their approach to the problem of predictive control alluded to above, and at most three articles illustrating their publication record and research interests, in addition to standard items such as CV, full publication list, etc. (see below).

Applications will be considered continuously until the position is filled.

Contact Information:

Further information is available from
Assoc. Prof. Poramate Manoonpong,
The Maersk Mc-Kinney Moller Institute,
Tel: +4565508698,
Email: --LOGIN--c8b93c4147e3f110a403235807c8d5fammmi[dot]sdu[dot]dk ,
Website: www.sdu.dk/staff/poma, www.manoonpong.com

An application must include:

- Application
- Curriculum Vitae
- Certificates/Diplomas (Master's degree certificate and the latest certificate)
- Information on previous teaching experience, please attach as Teaching portfolio
- List of publications indicating the publications attached
- Examples of the most relevant publications. Please attach one pdf-file for each publication, a possible co-author statement must be a part of this pdf-file

The University encourages all interested persons to apply, regardless of age, gender, religious affiliation or ethnic background.

The full posting can be accessed at

https://ssl1.peoplexs.com/Peoplexs22/CandidatesPortalNoLogin/Vacancy.cfm?PortalID=4066&VacatureID=696811&Vacancy=PostDoctoralPositioninEmbodiedNeuralComputation#top

Please apply online at:

https://ssl1.peoplexs.com/Peoplexs22/CandidatesPortalNoLogin/ApplicationForm.cfm?PortalID=4066&VacatureID=696811

• Graduate Student Opportunities in Experimental Design, Data Collection and Computational Modeling of Brain Imaging Data at Rutgers University-New Brunswick (USA). Received: 04/11/2014.

Graduate Student opportunities in HANSONLAB/RUMBA/RUBIC

The Hanson Lab is looking for Graduate students for some experimental and computational projects. Research will focus both on experimental design, data collection and computational modeling of brain imaging data. Data are collected locally at the RUBIC (Rutgers University Brain Imaging Center—houses a 3 Tesla SIEMENS TRIO, http://rubic.rutgers.edu). Our lab is focused on learning and memory, knowledge/brain representation and network/graph modeling. Computational work is supported by a number linux clusters including the NM^3 (Newark Massive Memory Machine*).

There are 4 different graduate programs that we participate in:
Deadlines in December and January (look at specific website for details)

Psychology (NK)
https://grad.admissions.rutgers.edu/GraduateProgram/Detail.aspx?code=26830°ree=PHD
Neuroscience (NK)
https://grad.admissions.rutgers.edu/GraduateProgram/Detail.aspx?code=26112°ree=PHD
Computer Science (NB)
https://grad.admissions.rutgers.edu/GraduateProgram/Detail.aspx?code=16198°ree=PHD
Electrical Engineering (NB)
https://grad.admissions.rutgers.edu/GraduateProgram/Detail.aspx?code=16332°ree=PHD

When you apply, in your personal statement please indicate you would like to join the Hanson Lab and the kind of training you would be interested in pursuing. Example projects and training opportunities listed next.

Example projects in the lab:

(PROJECT 1) brain reading and category representation: this project is focused on decoding fMRI signals while subjects are viewing common objects and classes (e.g. furniture, animals, vehicles etc..). Brain patterns are classified using Machine Learning methods (e.g. SVM, pda) and effective representations are extracted.
What are the underlying dimensions (e.g. animacy, object class, shape ) and data structures that promote encoding and retrieval of category information.

(PROJECT 2) large scale brain network modeling: this project is focused on extracting large scale networks from subjects doing a common task, or in “resting state” condition (where subject is asked to do “nothing” in the scanner). Free running large scale networks are observed during resting state that span brain areas from anterior to posterior regions including 100s to 1000s of distinct locations (ROIs). Large scale network properties, including hubs, modules and network connection patterns will be characterized and modeled. Of particular interest is the “scale-free” aspects of these networks.

Other related projects are possible and can be created in collaboration with Lab advisors.
Basic Project training opportunities, include tutorial training in neuroimaging and data acquistion from the TRIO scanner. Training also includes experimental cognitive neuroscience, experimental psychology methods and data collection and analysis of both behavioral and neuroimaging data. Finally, computational methods including machine learning, feature selection/preprocessing and methods for high-dimensional visualization.

Please contact --LOGIN--3e104ce865d06a89cfc77603489ba6c6rubic[dot]rutgers[dot]edu for further information.

Example Recent publications:
Hanson, S. J. and Schmidt, A. High-resolution imaging of the fusiform face area (FFA) using multivariate non-linear classifiers shows diagnosticity for non-face categories. NeuroImage, Vol 54(2), Jan 15, 2011, 1715-1734.
Poldrack, R.A., Halchenko, Y., & Hanson, S.J., (2010). Decoding the large-scale structure of brain function by classifying mental states across individuals. Psychological Science, 20, 1364-1372.
Ramsey JD, Hanson SJ, Hanson C, Halchenko YO, Poldrack RA, Glymour C (2010). Six problems for causal inference from fMRI.Neuroimage, 49, 1545-1558.

*1600 Ivy Bridge Intel processors, and over 12 Terabytes of RAM memory, in addition, the FDR infiniband interconnection between computing nodes allows for the execution of massively parallel algorithms. Fast I/Os are also in the toolbox provided by NM3 through fast, local scratch disks mounted on each computing node.)

• PhD student position in Theoretical/Computational Neuroscience at the Bernstein Center for Computational Neuroscience Heidelberg-Mannheim, Central Institute of Mental Health Mannheim, Heidelberg University (Germany). Received: 04/11/2014.

A PhD student position in theoretical/computational neuroscience (German payscale 0.67x E13 TV-L) is available for 3 years initially, starting January 2015 or later, at the Dept. of Theoretical Neuroscience (Head: Prof. Daniel Durstewitz), Bernstein Center for Computational Neuroscience Heidelberg-Mannheim, Central Institute of Mental Health Mannheim, Heidelberg University.

The lab focuses on highly data-driven computational models of prefrontal cortical and hippocampal network dynamics underlying higher cognitive function in health and psychiatric disease. Our approach is to estimate (in statistically principled ways) single cell and network models from slice and in-vivo electrophysiological recordings generated in the lab, and then apply these for understanding network function and dysfunction in experimental data (multiple single-unit, behavior) in psychiatrically relevant genetic animal models. Applicants should have a strong mathematical background (dynamical systems and/or statistics / stochastic processes), good programming skills (Matlab, C++), and a keen interest in biological and neural systems.

Please send informal inquiries and application documents (cover letter including a brief description of research interests, CV and contact details of two personal references) to Dr. --LOGIN--601fb5c851e32c6b13c22cad278391c5zi-mannheim[dot]de .

• Ph.D. and Postdoc positions in Computational Neuroscience and Neuroimaging at the University of Arizona, Tucson (USA). Received: 04/11/2014.

Join the recently established Neuroscience of Reinforcement Learning (NeuRL) lab led by Robert Wilson at the University of Arizona (http://www.u.arizona.edu/~bob/). Research in the lab focuses on computational, behavioral, pupillometric and neuroimaging studies of human reinforcement learning and decision making. Potential projects include: probing the neural basis of exploration and foraging, the role of randomness in decision making, and the representation of state information in the brain.

For more information about either position feel free to email me at: --LOGIN--393ce2b6eb1b6fa8d3ccc0bf84b2f07bemail[dot]arizona[dot]edu

Postdoc applicants:
Candidates for the Postdoc position should have a Ph.D. in neuroscience, psychology, computer science, bioengineering or related field. A strong background in functional imaging and/or computational modeling is preferred. To apply, please send a cover letter stating background and research interests, a CV, one or two representative publications/working papers, and contact information of at least two references.

Tucson:
Situated between four mountain ranges, the highest nearly 10,000 feet, Tucson and its environs are both stunningly beautiful and remarkably affordable. A mecca for cyclists and hikers, Tucson and its year-round sunshine nurture a thriving outdoor community, as well as a vibrant downtown cultural scene with music venues, art galleries and fine dining. Low rents and affordable amenities make for comfortable living just blocks from the university. Tucson is among the most livable, enjoyable destinations in the United States!

• Three PhD positions in Networks & Machine Learning at MPI-SWS, Kaiserslautern - Saarbruecken (Germany). Received: 04/11/2014.

The newly established Machine Learning group at the Max Planck Institute for Software Systems (MPI-SWS, http://www.mpi-sws.org/), led by Manuel Gomez-Rodriguez, is looking for up to

three PhD students

with a strong interest in networks & machine learning.

In our group, we are interested in developing machine learning and large-scale data mining methods for the analysis and modeling of large real-world networks and processes that take place over them. We are particularly interested in problems arising in the Web and social media.
For further information on our research, please, visit http://www.mpi-sws.org/~manuelgr/.

Applicants should be highly motivated and creative and have an exceptional background in machine learning, probability, optimization or graph theory, as well as excellent programming skills. A Master's degree in a relevant field (e.g., Computer Science, Engineering, Statistics & Optimization) is expected. Previous research experience in social networks or machine learning is a big plus.

MPI-SWS currently has 10 tenured and tenure-track faculty and about 50 doctoral and post-doctoral researchers and is located in Kaiserslautern and Saarbruecken, in the tri-border area of Germany, France and Luxembourg. The institute maintains an open, international and diverse work environment and we seek applications from outstanding candidates regardless of national origin or citizenship. Working language at MPI-SWS is English -- German is not required. The salary is highly competitive and you will have great support to do outstanding research.

There will be ample opportunities of collaboration with the Empirical Inference Department, headed by Bernhard Schoelkopf, at the Max Planck Institute for Intelligent Systems (MPI-IS, http://www.is.tuebingen.mpg.de/research/dep/bs.html) in Tuebingen. One of the PhD positions will be a joint appointment between MPI-SWS and MPI-IS, and will be based in Tuebingen.

In order to apply, please, use the online application system at http://www.mpi-sws.org/index.php?n=graduate#graduate-school and drop me an email to --LOGIN--5c29b4f0c72f5f97ddc49db26b2049a3mpi-sws[dot]org to highlight your application. Review of applications will start immediately, and continue until the positions are filled.
If you attend NIPS ‘14, please let me know to informally meet in person. If you are giving a talk or poster, please tell me so I can look at it.

• 2 postdoc positions in Machine Learning, Robotics & AI at University of Stuttgart and optionally MPI Tuebingen (Germany). Received: 31/10/2014.

2 postdoc positions in Machine Learning, Robotics & AI at the Machine Learning & Robotics Lab, Univ. of Stuttgart

Optional joint appointment at the Max-Planck-Institute for Intelligent Systems in Tuebingen

The Machine Learning & Robotics Lab at University of Stuttgart is recruiting two highly-motivated postdoctoral researchers. The MLR lab strives to tackle problems that are both fundamental and real in the area of robotics and intelligent systems. This includes holistic approaches to learning, planning and inference on all levels from robotic control to higher-level geometric and symbolic reasoning. Applicants should have strong interest in this approach, esp. one of the following or related research topics:

* (Constrained) Optimization methods for robotics, robotic control or learning in robotics in general
* Combined task and motion planning in uncertain and probabilistic domains (bridging between symbolic/relational MDPs, belief planning and geometric planning)
* Learning, planning and inference in the case of multi-agents or concurrent actions (including multi-agent extensions for invRL)
* Active learning, experimental design and UCB/UCT type methods for autonomous robot exploration in relational domains

Please relate clearly to these topic in your Research Statement.

Researchers from the broader areas of modern AI (probabilistic reasoning, learning & planning), robotics and machine learning are welcome to apply. The candidates are expected to conduct independent research and at the same time contribute to ongoing projects in the areas listed above. Successful candidates can furthermore be given the opportunity to work with undergraduate, M.Sc. and Ph.D. students.

The positions may jointly be appointed at Stefan Schaal's Autonomous Motion Department at the MPI Tuebingen, in this case focusing on learning and optimization methods for robotic control. See http://www-amd.is.tuebingen.mpg.de

A successful Post-doc applicant should have a strong track record of top-tier research publications in our community (e.g., at UAI, ICML, IJCAI, AAAI, NIPS, AISTATS or RSS, ICRA, IROS and respective journals). A Ph.D. in Computer Science, Physics or Maths (or another field clearly related to the above topics) as well as strong organizational and coordination skills are a must.

The positions are started with a 24 months contract and may be extendable up to 48 months. Payment will be according to the German TVL E-13 or E-14 payment scheme, depending on the candidate's experience and qualifications.

All complete applications submitted through the online application system found at

https://ipvs.informatik.uni-stuttgart.de/mlr/jobs/

will be considered. There is no fixed deadline: the positions will be filled as soon as possible.

Applicants may contact Marc Toussaint at NIPS (--LOGIN--4bc41dac8d8e86d369cdad96303814dainformatik[dot]uni-stuttgart[dot]de ).

• Open postdoc position in pattern recognition, machine learning and computer vision for biomedical data analysis at Istituto Italiano di Tecnologia, Genoa (Italy). Received: 31/10/2014.

Postdoctoral position in pattern recognition, machine learning and computer vision for biomedical data analysis

Budget code: 68041

The Istituto Italiano di Tecnologia (IIT) was established by the Italian government with the objective of promoting technological development and higher education in science and technology. In this sense, IIT is implementing a detailed scientific program, which comprises integration across fundamental research and application. IIT's research endeavour focuses on high-tech and innovation, representing the forefront of technology with possible application from medicine to industry, computer science, robotics, life sciences and nanobiotechnologies.

The Pattern Analysis and Computer Vision department (PAVIS) at IIT (http://www.iit.it/pavis.html) is looking for a highly qualified researcher in the field of Computer Vision, Pattern Recognition, Machine Learning, and Image Analysis with applications to Biomedical Data Analysis

Research in PAVIS follows two main streams. One mission of PAVIS is to design and develop innovative video surveillance systems, characterized by the use of highly-functional smart sensors and advanced video analytics features. PAVIS also has an active role in supporting the research facilities in IIT providing solutions to life-scientists in Neuroscience, Drug Discovery and Development and Nanophysics. To this end, the group is involved in activities concerning computer vision and pattern recognition, machine learning, multimodal data analysis and sensor fusion, sensors networks, and embedded computer vision systems. The lab will pursue this goal by working collaboratively and in cooperation with external private and public partners as well.

This call aims at consolidating PAVIS expertise in the following research areas:

+ Biomedical image analysis
+ Neuroimaging (functional and structural)
+ Biological signal/image/video processing
+ Neuronal network structural and functional activity analysis
+ Animal behaviour analysis
+ Multimodal data analysis and data fusion

We are seeking a self-motivated individual with the ability to take day-to-day responsibility for the progress of his own activities. The ideal candidate will have a PhD in Computer Science, Mathematics, Electronic Engineering or a closely-related discipline, with experience and qualification on machine learning, pattern recognition, computer vision, coupled with a keen interest on biomedical applications.
Evidence of top quality research on the specified areas in the form of published papers is mandatory. Expertise or experience about deep learning approaches, sparse leaning, and/or dictionary learning are highly appreciated. Programming skills are also required.

The postdoctoral position is up to 3 years. The salary will be commensurate to qualification and experience and in line to that of the research institutes in the rest of Europe. The position will be occupied according to a first come-first serve policy, and the search will continue until an appropriate candidate will be identified. Further details and informal enquires can be made by email to --LOGIN--d0728d0f6c6e978f32ad89f2744940e4iit[dot]it .

Completed application forms along with a curriculum listing all publications, a pdf of most representative publications and a research statement describing previous research experience and outlining its relevance to these topics should be sent by email to --LOGIN--d0728d0f6c6e978f32ad89f2744940e4iit[dot]it .
Please, indicate the budget code: 68041 in the subject line. Please, also indicate three independent references inside the CV.

In order to comply with the Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), we have to kindly ask the candidate to give his/her consent to allow IIT to process his/her personal data. We inform you that the information you provide will be used solely for the purpose of assessing your professional profile to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, with headquarters in Genoa, Via Morego 30, acting as the Data Holder, using computer and paper based means, observing the rules on protection of personal data, including those relating to the security of data. Please also note that, pursuant to art.7 of Legislative Decree 196/2003, you may exercise your rights at any time as a party concerned by contacting the Data Manager. The Italian Institute of Technology is an Equal Opportunity Employer that actively seeks diversity in the workforce.

• PhD Project in Non-Linear Temporal Machine Learning Models for Conditioning Monitoring in Large-Scale Solar Energy Systems at Technical University of Denmark (Denmark). Received: 28/10/2014, Deadline: 23/11/2014.

DTU compute, Technical University of Denmark (DTU) would like to invite applications for a 3-year PhD position starting December 2014 or soonest hereafter. The project is partially funded by the Danish National Advanced Technology Foundation project “Fully Automated Service Execution platform for PhotoVoltaic power plants (FASE)”. The project is a collaboration between GreenGo Energy (greengoenergy.com/) and DTU (www.dtu.dk).

Project Description
The large number of condition monitoring sensors installed in all GreenGo Energy’s solar energy power plants generates terabyte data that are collected in common cloud based solution. A global scale synchronised data acquisition system is providing data with unprecedented precision, size, geographical diversity provides unique possibilities for big data modelling. A successful machine learning system build on top of the cloud solution will be able to detect many type of faults and wear characteristics. The scale of the data poses computational challenges and requires application and development of novel non-linear dynamical models that scale to large datasets. In the PhD project, Bayesian approaches to filtering will be investigated as well as deep learning methodologies for integration of high frequency heterogeneous sensor data. The service platform will integrate state-of-the-art fault diagnosis, and portfolio based service planning and execution automation.

Requirements
Candidates must have a master degree in machine learning, computational science and engineering (CSE), applied mathematics, or engineering, or equivalent academic qualifications. Preference will be given to candidates who can document experience in conditioning monitoring, and in addition have a background in machine learning. Furthermore, good command of the English language is essential.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in the ITMAN Graduate School Programme of DTU Compute. Information about the general requirements for enrolment and the general planning of the scholarship studies is included in the general rules at DTU, which may be obtained from http://www.dtu.dk/english/Education/phd/.

Assessment
The assessment of the applicants will be made by DTU Supervisor Ole Winther and GreenGo co-supervisor Karsten Nielsen.

Salary and appointment terms
The salary and appointment terms are consistent with the current Danish rules for PhD degree students.

Further Information
Further information concerning the project can be obtained from Ole Winther --LOGIN--812a192a30c3ca520b9877934eeae0ebdtu[dot]dk and Karsten Nielsen --LOGIN--657343ae5ba91ee47279b36b9cefc586greengoenergy[dot]dk .

Further information concerning the application can be obtained from http://www.compute.dtu.dk/english/education/phd or by contacting PhD coordinator Ulla Jensen, --LOGIN--80ec237145a87289f8513bbd69c6fe6edtu[dot]dk , +45 4525 3359.

Application deadline is November 23, 2014. Further information about application requirements can be found here: http://www.dtu.dk/Job/job?id=3eb58a13-c175-4404-887e-a8363901ee1b.

• Postdoctoral Research Position in Recommender Systems at TU Delft (The Netherlands). Received: 28/10/2014, Deadline: 10/11/2014.

Delft University of Technology (TU Delft) is currently recruiting a post-doctoral researcher for a period of two years, to work within the CrowdRec project (crowdrec.eu), devoted to the development and evaluation of next-generation recommender systems that fuse multiple information sources.

The researcher will work closely with the Multimedia Computing Group team, and will:

- Develop algorithms in the area of recommender systems, including context-aware, socially-informed, and crowd-driven approaches.
- Publish in top venues, e.g., ACM RecSys, ACM Multimedia.
- Contribute to the CrowdRec Reference Framework, which publishes reference implementations of developed algorithms.
- Work together with CrowdRec partners around Europe, including Barcelona, Milan, Budapest, to carry out large-scale testing of recommender algorithms.
- Guide students at all levels (Bachelor, Master, and PhD) who are carrying out work in the area of recommender systems and multimedia.
- Contribute to the innovation of new research challenges and the development/organization of community benchmarks.
- Participate in the reporting and analysis of research results, including project meetings, and roadmapping meetings with the CrowdRec External Advisory Board.
- Develop new research areas and project concepts in collaboration with colleagues working on other projects in the Multimedia Computing Group (e.g., in the areas of music, social networks, quality of multimedia experience).

Requirements
The successful candidate will have:
- A PhD in a field related to multimedia and/or recommender systems.
- A proven track record of research leading to publications in top venues.
- A background in machine learning.
- Programming skills necessary to participate in the implementation of reference implementations (Java, C++, C# or Python).
- Experience with the organization of international research events, especially research challenges or benchmarks.
- Interest in working closely with companies to carry out large-scale evaluation of recommender systems.
- Interest in or experience with the application of crowdsourcing or gamification techniques in multimedia.

Conditions of employment
TU Delft offers an attractive benefits package, including a flexible work week and the option of assembling a customized compensation and benefits package (the 'IKA'). Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. Contract type: Temporary, 2 years

For more information about this position, please contact Martha Larson, phone: +31 (0)15-2787357, e-mail: --LOGIN--620a3a6bf0a74b3d6881042a2a587681tudelft[dot]nl . To apply, please e-mail a detailed CV, publications list and two references along with a letter of application by 10 November 2014 to Mrs. C.J.C.Kohlmann van Noord, --LOGIN--2864a01d9c52e5157293e11e9591fd7etudelft[dot]nl .
When applying for this position, please refer to vacancy number EWI2014-27.

Delft University of Technology
Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognized level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

Electrical Engineering, Mathematics and Computer Science (EEMCS)
The Department of Intelligent Systems (INSY) within the EEMCS faculty conducts research on processing and interpretation of data to address the increasing volume and complexity of data and communication in today's world.

The Multimedia Computing Group within the INSY Department develops algorithms for enriching, accessing, and searching large quantities of data. The focus is on developing systems that are oriented to the needs of users, making possible satisfying, personalized interaction with large collections of multimedia data (e.g., images, video, and music shared online) in real-world contexts (e.g., within social networks).
The group combines expertise on multimedia information retrieval, recommender systems, multimedia signal processing, social network analysis, and quality of experience.

• Tenure-track faculty positions in Machine Learning & Big Data/Data Science at NYU Shanghai (China). Received: 27/10/2014, Deadline: 31/01/2015.

TENURED/TENURE-TRACK FACULTY POSITIONS
Computer Science: Machine Learning & Big Data/Data Science
NYU Shanghai

New York University, one of the largest and most highly regarded private universities in the United States, has established itself as a Global Network University with three degree-granting campuses - New York, Shanghai, and Abu Dhabi - complemented by 12 additional academic centers across five continents. NYU has identified Data Science as one target area for growth, and is planning to add multiple tenured/tenure track faculty members across its campuses and across several departments.

NYU Shanghai is the first Sino-US higher-education joint venture to grant a degree that is accredited in the US as well as in China. A research university with liberal arts and sciences at its core, it resides in one of the world's great cities, which is also a vibrant intellectual community (http://shanghai.nyu.edu/). NYU Shanghai will recruit scholars who are committed to our global vision of transformative teaching and innovative research. New York University Faculty and students circulate within the network in pursuit of common research interests and cross-cultural, interdisciplinary endeavors, both local and global. The terms of employment in NYU Shanghai are comparable to U.S. institutions. Faculty may also spend time at NYU New York and other sites of the global network, engaging in both research and teaching opportunities, and have opportunities to collaborate with the many research centers and groups at NYU, including our recently launched centers for Data Science (CDS) and Urban Science and Progress (CUSP).

NYU Shanghai invites outstanding applications for two tenure-track or tenured faculty appointments in Computer Science. Applicants to the first position should have an active research program in machine learning and be dedicated to making fundamental technical contributions in this vital area. Applicants to the second position should have research interests related to big data and data science as broadly defined, including database systems, data mining, information retrieval, natural language processing, data visualization, and applications in areas such as medicine, business, and the natural and social sciences. Applicants must have demonstrated excellence in both research and teaching. When discussing their teaching experience and interests, candidates should identify courses they could teach both within and outside their specialty. Candidates must have completed a Ph.D. or equivalent by the time of appointment.

Applicants should submit a curriculum vitae, a statement of research and teaching interests, electronic copies of up to 5 recent relevant publications, and the names and addresses of three or more individuals willing to provide letters of reference, by the application deadline of Jan. 31, 2015. Please visit our website at http://shanghai.nyu.edu/about/work/faculty-positions for instructions and other information on how to apply. If you have any questions, please e-mail --LOGIN--2eb29bbe1b72de86329053e823e47274nyu[dot]edu .

NYU-Shanghai is an Equal Opportunity/Affirmative Action Employer

• PhD studentships: Computation in Brain and Mind at Brown University (USA). Received: 25/10/2014.

The Brown University initiative for Computation in Brain and Mind, soon to be a Center within the Brown Institute for Brain Science, invites PhD applicants to apply directly to any of the affiliated departments, including Neuroscience, Cognitive, Linguistic and Psychological Sciences, Applied Mathematics, Computer Science and others. Among other events, the initiative includes a seminar series focused on computation with distinguished lecturers, technical workshops and symposia, and a yearly neural decoding competition. The initiative also has close links to parallel initiatives at Brown in Human-Robot Interaction, Digital Society (big data), and access to a high performance compute cluster with dedicated cycles for Brain Science.

Brown has particular expertise in computational approaches to higher order brain function, from perception to cognition, spanning departments of Neuroscience, Cognitive, Linguistic & Psychological Sciences, Applied Mathematics, Computer Science, Neurosurgery, Biostatistics, and Engineering. Most of these faculties cross theory and experiment, but primary foci are listed here:

* Computational perception: Theories about how the brain integrates sensory information to give rise to percepts, constrained by biophysics and computational objectives.

* Control over action: reinforcement learning, decision making, and cognitive control; application to mental illnesses.

* Fundamental questions in neural computation: synaptic plasticity, circuits, networks.

* Neurotechnology: brain-machine interface, advanced neural data analysis.

* Automated collection of neuroscience data, e.g. via computer vision and annotation.

* These core areas are supported by boundary-pushing development of technical and analytic methods in Computer Science an Applied Mathematics.

• Application Support Engineer at MathWorks, Cambridge (UK). Received: 25/10/2014.

Job Summary
Do you have a strong technical background in Software Design, Control Theory, Signal Processing or Embedded Systems?
Do you have knowledge of statistical analysis, machine learning, optimization or other computational mathematics?
Are you motivated by an environment that supports continuous learning? We are looking to hire bright, self-driven engineers with advanced degrees to join our Engineering Development Group at MathWorks. Our focus is on teamwork, collaboration and continuous learning in an open, fun and encouraging environment.

Responsibilities
The Application Support Engineer role is a technical track for career development. Application support and inter-departmental collaborative project work are the central responsibilities. The aim of the Engineering Development Group is to provide opportunities to learn new skills, and improve on existing ones, while gaining practical experience. These skills will open up future career advancement opportunities at MathWorks.

Minimum Qualifications
· A bachelor's degree and 3 years of professional work experience, or a master's degree, or a PhD degree is required.

Preferred Qualifications
Qualifications Required / Preferred
· MSc or PhD in Computer Science, Engineering, Electronics, Maths or a technically related field from a top tier university.
· Very strong mathematical skills.
· Strong interpersonal, oral and written communication skills.
· Strong programming skills in MATLAB and in C/C++ or Java.
· Skills in model based design and/or production code generation.
· Strong commitment to learning, personal development and achieving results.

Having two or more of the skills listed below is a plus:
· Experience with Object Oriented languages and multiple Operating Systems.
· Control Theory: Knowledge of modelling & simulation and control systems.
· Embedded Systems: Experience in real time embedded software development in C including multi-threaded programming.
· Signal Processing: Knowledge of communication protocols e.g. CAN, TCP/IP, RS232, USB and protocol design.
· Fluency in English (oral and written) and at least one other European language.

To apply:
http://www.mathworks.com/company/jobs/opportunities/9397?source=9243

• Postdoctoral Position in Robot Learning and Computational Neuroscience at EPFL - LASA, Lausanne (Switzerland). Received: 23/10/2014.

The EPFL LASA laboratory is accepting applications for a postdoctoral appointment in the areas of robot learning and computational neuroscience.

The postdoctoral researcher will develop computational models of human motions when engaged in dyadic interaction with another human and apply these models to control robots engaged in coordinated activities with humans.

The successful candidate should have a solid background and excellent analytical skills in at least one (or all) of the following areas: dynamical systems, machine learning, impedance control. The candidate should have hands-on experience in robotics and interest in safety issues in human-robot interaction.

The application should include the following documents:

1. CV including publication list.
2. A list with the names of at least 3 references.
3. A selection of two (no more than two) publications.

should be sent by email to --LOGIN--5ecafa875108d6e24fb8f2dee041ceb9epfl[dot]ch

This is a one-year appointment with a February 1, 2014 start date (negotiable) and possibility for annual renewal.

The LASA laboratory is affiliated with EPFL's institute of MicroEngineering and Mechanical Engineering. To learn more, visit us at http://lasa.epfl.ch

• PhD student in Spiking Neural Networks at Centrum Wiskunde & Informatica, Amsterdam (The Netherlands). Received: 23/10/2014.

Centrum Wiskunde & Informatica - PhD student “Spiking Neural Networks for Efficient Computer Vision”

A PhD student position is available to develop (deep) spiking neural networks for video interpretation. This project is an interdisciplinary collaboration between the Neuroinformatics group at CWI (the Netherlands Center for Mathematics and Computer Science), with dr Sander Bohte, and the Visual Cognitive Neuroscience group at University of Amsterdam (dr H. Steven Scholte and dr Sennay Ghebreab). This aim of the research is to develop effective next-generation neural networks based on neural spike coding (e.g. Bohte, NIPS 2012) that efficiently implement state-of-the-art models of the visual system.

The successful applicant will have a solid computational background, an interest in neural computation and good programming skills.

The position involves a temporary appointment for 4 years at CWI. We offer a competitive salary with excellent secondary benefits, and also an extremely friendly, interactive and international working environment. This includes new buildings in one of Europe's most beautiful and lively cities, and direct access to high-end computing facilities. Moreover, since Amsterdam is a very international city where almost everybody speaks and understands English, candidates need not be afraid of the language barrier.

To apply, please send application letter and CV:
Dr Sander Bohte
CWI Life Sciences
Science Park 123
1098XG Amsterdam, The Netherlands
Telephone: +31-20-5924074
E-mail: --LOGIN--443a6cacd7ea520c415ed504540c06d3cwi[dot]nl

• Post-doc or PhD position in Visual Computational Neuroscience at the University of Amsterdam (The Netherlands). Received: 23/10/2014.

Amsterdam Brain & Cognition (ABC) Institute

Job description
We are inviting applications for an interdisciplinary position to research the relationship between various computer vision models (Bag of Words, Summary statistics, Deep Learning, HMax) and the actual functioning of the brain. This will be done by evaluating the explained variance of different computer vision models using BOLD-MRI and EEG data. The successful candidates will work in a stimulating environment of a leading and highly active research team including faculty in the department of psychology (dr H. Steven Scholte, dr. Sennay Ghebreab), and CWI (dr. Sander Bohte).

Requirements
The successful applicant will have a solid computational background, good programming skills and experience with computer vision and machine learning models. Affinity with neuroimaging is appreciated. For the post-doc position, a strong publication record in top-tier international conferences and journals is mandatory.

Conditions of employment
The position can start any time after November 2014 and is for temporary appointment of 2-4 years. The appointment will be within the UvA department of psychology. We offer a competitive salary with excellent secondary benefits and an extremely friendly, interactive and international working environment. This includes new buildings in one of Europe's most beautiful and lively cities, and direct access to high-end computing facilities. Moreover, since Amsterdam is a very international city where almost everybody speaks and understands English, candidates need not be afraid of the language barrier.

Organisation
Amsterdam Brain & Cognition (ABC) Institute

Additional information
Brain & Cognition is the first priority area of the University of Amsterdam centered in the Amsterdam Brain & Cognition (ABC) Institute. The current project is an example of the type of research pursued in the ABC and is a collaboration between the department of psychology, the informatics institute and CWI.

For specific questions about the project, please contact:
Dr. H. Steven Scholte (--LOGIN--2db0da3368b1bddc59de0b3bcd43cef1uva[dot]nl )

• Assistant/Associate Professor position in Cognitive Science at CU Boulder (USA). Received: 22/10/2014.

Assistant/Associate Professor Tenure track position
Institute of Cognitive Science, CU-Boulder

The Institute of Cognitive Science at the University Colorado Boulder is seeking to hire a tenure-track professor at the Assistant level or a tenured professor at the Associate level. Institute research is focused in three strategic areas:
• Learning and Education: theories, communities, and technologies;
• Language Processing: computational and technological advances;
• Cognition and Cognitive Neuroscience: memory, executive function, language, affective, decision, social processes, brain-computer interaction.

We are looking for candidates with a strong research track record in one or more of these areas, whose work demonstrates both computational sophistication and a commitment to interdisciplinary research.

Applicants should have expertise in computational methods for the analysis and characterization of complex data sets in cognitive science, such as machine learning or network analysis (e.g., network topology, social networks, graph theory, brain or interpersonal dynamics). Cognitive scientists are at the forefront of exploiting the internet and massive data repositories (e.g., language corpora, neuroimaging collections, educational data logs) to advance understanding of learning and cognition. These data and methods for analyzing it are changing paradigms in the allied fields of cognitive science.
Applicants should demonstrate a strong capacity for, and a commitment to, interdisciplinary research and education. The Institute integrates faculty and researchers from seven departments - Computer Science, Education, Integrative Physiology, Linguistics, Philosophy; Psychology & Neuroscience; and Speech, Language and Hearing Sciences - and offers a Joint PhD in Cognitive Science and an affiliated field. Ideal candidates can collaborate with faculty across these departments and teach courses in cognitive science and an allied field(s). This vanguard characteristic should be evident in the applicant’s publication history.

Applicants should have a Ph.D. in a field related to Cognitive Science. For full consideration, applications should be completed by December 1, 2014 but will continue to be accepted until the position is filled.

Applications should include a current curriculum vitae, three letters of recommendation, statement of teaching philosophy, statement of research philosophy, publications demonstrating the characteristics described above, and a cover letter specifically addressing the applicant’s match to the criteria described above. Applications are not considered complete until all letters of recommendation have been received.

Applications will only be accepted at http://www.jobsatcu.com/postings/89482.

The University of Colorado is an Equal Opportunity Employer committed to building a diverse workforce. We encourage applications from women, racial and ethnic minorities, individuals with disabilities and veterans. Alternative formats of this ad can be provided upon request for individuals with disabilities by contacting the ADA Coordinator at --LOGIN--7a7d97c6b47ef8e5415e0df3eb9c0fd0colorado[dot]edu .

The University of Colorado Boulder conducts background checks on all final applicants being considered for employment.

For questions please contact:
Donna Caccamise, Search Committee Chair
--LOGIN--0198b7b763c8de6570f7a2c52097775bcolorado[dot]edu

• PhD opportunities in Computational Neuroscience at Imperial College London (UK). Received: 20/10/2014, Deadline: 05/01/2015.

Computational Neuroscience Laboratory
Headed by Dr. Claudia Clopath
Department of Bioengineering
Imperial College London

Requirements:
The Computational Neuroscience Laboratory, headed by Dr. Claudia Clopath, is looking for a talented PhD student, interested in working in the field of computational neuroscience, specifically addressing questions of learning and memory. The perfect candidate has a strong mathematical, physical or engineering background (or equivalent), and a keen interest in biological and neural systems. Demonstrated programming skills are a plus. Candidates should be EU nationals.

Research topic:
Learning and memory are among the most fascinating topic of neuroscience, yet our understanding of it is only at the beginning. Learning is thought to change the connections between the neurons in the brain, a process called synaptic plasticity. Using mathematical and computational tools, it is possible to model synaptic plasticity across different time scales, which helps understand how different types of memory are formed. The PhD candidate will be working to build those models of synaptic plasticity, and study the functional role of synaptic plasticity in artificial neural networks. They will have the opportunity to collaborate with experimental laboratories, which study connectivity changes and behavioural learning.

The lab:
The Computational Neuroscience Laboratory is very young and dynamic, and publishes in prestigious journals, such as Nature and Science. It is part of the Department of Bioengineering, which conducts state-of-the-art multidisciplinary research in biomechanics, neuroscience and neurotechnology. The lab is at Imperial College London, the 3rd ranked university in Europe, is in the top 10 worldwide, and is located in the city centre of London.
More information can be found at: http://www.bg.ic.ac.uk/research/c.clopath/

How to apply:
Candidates should send a single pdf file, consisting of a 1-page motivation letter, CV (mentioning that they are EU nationals) to --LOGIN--7caa17d956dc71f10cc3f88f7594ec11gmail[dot]com , with the subject containing 'PHD2015'. In addition, candidates should organize two letters of references to be sent to --LOGIN--7caa17d956dc71f10cc3f88f7594ec11gmail[dot]com . The application deadline is Jan 5th (both for the application as well as for the two letters of references). Skype Interviews will be held on the Jan 9th.

Funding:
The candidate will apply to an Imperial College PhD scholarship. Deadline for funding application is on Jan 31st. More information can be found at:
http://www3.imperial.ac.uk/studentfinance/prospectivepgstudents/phdscholarships/icphd

• Postdoctoral Position in Computational Neuroscience at École Normale Supérieure, Paris (France). Received: 20/10/2014.

A postdoctoral position is available for a USA-France collaborative project on the influence of alcohol on the central dopamine system. The project combines computational and experimental techniques. The post-doc will design and analyze a biophysical computational models of the brain circuitry affected by alcohol. The position is available immediately for up to three years. The position is based at the Group for Neural Theory, Ecole Normale Superieure Paris France, with extensive research visits between two institutions: Indiana University-Purdue University at Indianapolis, Indiana, USA, and École Normale Supérieure, Paris, France. In Paris, he or she will work with Prof. Gutkin (Group of Neural Theory, ENS) and Prof. Mamelli (Institut du Fer a Moulin, INSERM) on circuit level models. In Indianapolis, the post-doc will work with Prof. Kuznetsov (Mathematics Dept.) and Prof. Lapish (Psychology Dept.) on cellular level models. Both locations provide an excellent environment for collaborative research in quantitative biosciences. Ample travel support, competitive salary and full social coverage is offered.

Qualifications: Applicants should have a Ph.D. in Computational Neuroscience, Mathematics, Physics, or a quantitative field, a background in dynamical systems, programming experience and working knowledge in Computational Neuroscience.

How to Apply: Send your CV, list of publications, research statement, and contact information for three references to Prof. Boris Gutkin via e-mail: --LOGIN--0eb0443bdc5a4e154db5b03dbcf80a2aens[dot]fr .

• PhD position in Deep Learning/Representation Learning at University of Guelph, Ontario (Canada). Received: 18/10/2014.

I have a fully-funded PhD position open in Deep Learning and Representation Learning to start no later than January 2015. The position is partially funded by industry, so the project will involve some time on campus at the University of Guelph and some time at a startup in downtown Toronto (scheduling is flexible). The project involves developing new representation learning methods for unstructured, event-based time series.

Ideal candidates will have a MSc or equivalent degree in Computer Science, Physics, Mathematics, or in a related area, and have a strong interest and experience in machine learning, statistics and/or scientific computing.

Guelph is a vibrant university community 28 kilometres east of Waterloo and 100 kilometres west of downtown Toronto, with commuter train access to both. It is consistently rated as one of Canada’s best places to live.

The position is open to Canadian and foreign students. To apply, please send the following documents in a single pdf-file to my attention (email address available on my webpage).

(1) Your Curriculum Vitae
(2) A brief statement of relevant research interests and/or experience (preferably one page, at most two)
(3) Transcripts for previous degrees if available
(4) Names of two or three referees who are able to comment on the applicant's qualifications. I will contact references of short-listed candidates only.

Only short-listed candidates will be contacted.

Graham Taylor
Assistant Professor
School of Engineering, University of Guelph
http://www.uoguelph.ca/~gwtaylor

• Postdoc Position in Computational Neuroscience / Systems Biology at the Karolinska Institute, Stockholm (Sweden). Received: 16/10/2014, Deadline: 20/11/2014.

Dept. Neurosci, Karolinska Institute, Stockholm, currently has an opening for a postdoctoral positions in computational neuroscience / systems biology. This project is integrated in ongoing collaborations between the Karolinska Institute, KTH Royal Institute of Technology, as well as with international partners in Europe and USA.

The position is focused on subcellular signaling pathways involved in synaptic plasticity, and modeling of those using a systems biology approach. The project aims specifically at understanding the subcellular mechanisms underlying reward dependent learning and action selection in the cortex - basal ganglia system. The ideal candidate has a PhD in a field such as computational biology, neuroscience or systems biology, as well as has acquired computer science and programming skills.

Contacts:
Prof. Jeanette Hellgren Kotaleski
email: --LOGIN--00e417cec5703133b7c083bbd9125dbecsc[dot]kth[dot]se or --LOGIN--0c801e391abcf0969bfbc42248a3b9e5ki[dot]se

More info on the position and how to apply at
https://ki.mynetworkglobal.com/en/what:job/jobID:43211/where:/

• Postdoctoral position in Computational Neuroscience at Numenta, Silicon Valley (USA). Received: 15/10/2014.

POSTDOCTORAL POSITION IN THEORETICAL NEUROSCIENCE
AND CORTICAL MODELING
Numenta, Inc.

ABOUT NUMENTA
Numenta was founded in 2005 to be a catalyst in the emerging field of machine intelligence. Its biologically inspired technology is based on a detailed and evolving theory of the neocortex first described in co-founder Jeff Hawkins’ book, On Intelligence. The current technology can be applied to anomaly detection in servers and applications, human behavior, and geo-spatial tracking data. Numenta is focused on understanding the computational principles behind the cortex in detail, and implementing practical systems that operate on those principles. For more details, please see www.numenta.com

JOB DESCRIPTION
Numenta has an immediate opening for a Postdoctoral Researcher. This individual will be a key member of our research group. He or she will work on significant extensions of Hierarchical Temporal Memory (HTM) theory and its implementations. Our current research efforts involve understanding cortical sensorimotor inference and control, and the role of thalamocortical pathways. Our models aim to build stable invariant representations of complex environments through active exploration, and are independent of sensory modality. Our problem domains span the range from artificial constrained worlds all the way to commercially driven applications.

We seek researchers who passionately desire to build intelligent machines and impact the next generation of computing. The position carries full benefits and is for a one year term. An extension or a conversion to permanent employment is possible. We are located in Silicon Valley (Redwood City, CA).

RESPONSIBILITIES
- Implement extensions to HTM theory
- Test algorithms on a variety of problems and datasets
- Characterize algorithm performance and suggest improvements
- Write and publish papers in leading conferences and journals
- Attend conferences and stay up to date with the latest relevant research
- Be an active member of the NuPIC community (NuPIC is Numenta's open source HTM software)
- Provide technical leadership to the rest of the organization

DESIRED QUALIFICATIONS
- Strong background in theoretical or computational neuroscience
- Strong background in machine learning or machine intelligence
- Established track record of leading edge research in computational neuroscience
- Established track record of publications in leading peer reviewed conferences and journals
- Excellent programming skills (Python or C++ preferred)
- Hands on experience implementing large-scale learning algorithms or computational models
- Preference given to candidates who have a deep understanding of HTM algorithms, cortical principles, and/or a working knowledge of NuPIC
- Excellent verbal and written communication skills
- Applicants should have, or expect to receive soon, a PhD (or have equivalent research experience) in computational neuroscience, machine learning, cognitive modeling, or a related discipline

HOW TO APPLY
Qualified applicants should send the following to --LOGIN--4856667354344536100f14ce5c8b4f10numenta[dot]com :
- Cover letter describing their specific interest in Numenta. Please include any relevant experience with HTM algorithms or NuPIC.
- Resume or CV, including list of relevant courses and published papers.

Numenta is an equal opportunity employer supporting workforce diversity.

IMPORTANT NOTE: Numenta is unable to consider postdoc applications from international researchers unless they are US Citizens, hold a Green Card, or are currently enrolled in a US University and eligible for OPT.

• Computer Vision Engineer at Metrica Sports, Amsterdam (The Netherlands). Received: 15/10/2014.

A LITTLE BIT ABOUT METRICA SPORTS
We are a small team of young entrepreneurs passionate about helping football clubs improve their training programs through video and data analysis!
We provide football clubs not only with raw data but also, and most importantly, with the necessary tools to transform that data into information they can actually use in their decision making process. To this end we work side by side with clubs coaching staff to develop adaptable and user-friendly data analysis and visualization solutions.

You would be a great fit if:
- You are crazy about football and have a great interest in its tactical aspects.
- You have a startup spirit and are eager to leave your own mark in the sport you love.
- You know your way around object recognition/tracking and want to keep on learning and developing your skills.
- You are intrinsically curious, like to research new technologies and constantly want to learn and improve.
- You are highly collaborative and would love to work on small, dynamic team in a fast paced environment.

In your daily routine you'll be responsible for:
- Design and develop computer vision systems that can automatically identify and track the position of football players, referees, ball, etc.
- Build, experiment, and test proof of concepts, either in Matlab or Python, in order to increase the accuracy of our current systems.
- Convert successful prototypes into high performance application in C/C++/Java.
- Test and experiment with new technologies outside the field of computer vision that could be incorporated to our current solutions (e.g. RF or GPS positioning systems).

What are the requirements?
- Master’s or PhD in Computer Vision or related technical field.
- Experience in object recognition and tracking.
- Programming experience in C/C++/Java, Matlab and Python.
- Experience with image/video processing, openCV, machine learning.
- Excellent written and verbal communication skills in English.
- Strong attention to detail.
- EU citizenship.

Come and join us in a quest to help every team and player become better!
Ready to leave a mark in the sport you love? Send us your CV and a motivation letter to --LOGIN--4612221ed9f3625fc575ec87c0aa2494metrica-sports[dot]com .

• Assistant Professor positions in network science + machine learning at the University of Colorado Boulder (USA). Received: 15/10/2014, Deadline: 01/12/2014.

The Department of Computer Science (CS) at the University of Colorado Boulder seeks outstanding candidates for multiple tenure-track positions. The openings are targeted at the level of Assistant Professor, although exceptional candidates at higher ranks may be considered. Research areas of particular interest include secure and reliable software systems, numerical optimization and high-performance scientific computing, and network science and machine learning.

The Department’s research and education efforts interact broadly with many interdisciplinary programs and collaborators in the Boulder area, including national labs at NIST, NOAA, NREL, and NCAR, and CU-Boulder research institutes including the BioFrontiers Institute and the Institute for Cognitive Science. The Department also has extensive ties with the thriving local tech community and inhabits a desirable and picturesque location in the foothills of the Rocky Mountains.

To apply, please go to the following link:
https://www.jobsatcu.com/postings/89652

• Faculty Position in Computational Neuroscience at the University of California, Irvine (USA). Received: 14/10/2014, Deadline: 15/11/2014.

University of California, Irvine
Faculty Position in Computational Neuroscience

The Department of Cognitive Sciences (www.cogsci.uci.edu) at the University of California, Irvine (UCI) invites applications for a faculty position at the Associate or Full Professor level. We are especially interested in candidates who use mathematical, computational, or robotics approaches to study the neural basis of cognition in any of these areas: (1) vision, hearing, and attention; (2) memory and decision-making; (3) learning and development; (4) language. Applicants whose research relates to human behavior are preferred.

A strong record of publications and extramural funding is essential. Exceptional candidates at the Assistant Professor level will also be considered.

The online application includes: A cover letter, CV, research and teaching statements, 3 recent publications, and contact information for 3-5 referees. Interested candidates can apply for the position at: https://recruit.ap.uci.edu/apply/JPF02452. To ensure full consideration, please complete the application by November 15, 2014.

The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer committed to excellence through diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.

• Postdoctoral Research Assistant in Computer Vision at the University of Oxford (UK). Received: 14/10/2014, Deadline: 05/12/2014.

We are seeking a full-time Postdoctoral Research Assistant in Computer Vision to join the Visual Geometry Group at the Department of Engineering Science (central Oxford). The post is funded by IARPA under the Janus programme and is fixed-term for 24 months.

The objective of the project is to develop visual descriptors and learning algorithms for recognising faces in image datasets and videos. It is a collaborative project with several research groups in the US. The methods to be used will involve strong and weak supervision of learning models such as Convolutional Neural Networks. Of particular interest is face recognition `in the wild' - where the face may have non-frontal pose, and the illumination is not controlled.

You will be responsible for development and implementation of novel computer vision and learning algorithms to automate face recognition in images and video. You will also develop software infrastructure for viewing and searching the resulting classifications and detections.

You should possess or be close to completion of a PhD/DPhil in Computer Vision or Machine Learning, and have a proven background in recognition in images or videos. Good communication skills both written and verbally are essential. Ability to program in Matlab and C++ is desirable.

Informal enquiries may be addressed to Andrew Zisserman (--LOGIN--0a57d96ddc877790dca29cdfec95248aeng[dot]ox[dot]ac[dot]uk ).

Only applications received before 12.00 midday on Friday 5 December 2014 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.

The department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in science, engineering and technology.

Job Details:
https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=115909

• Postdoctoral Research Assistant in Computer Vision at the University of Oxford (UK). Received: 14/10/2014, Deadline: 05/12/2014.

We are seeking a full-time Postdoctoral Research Assistant in Computer Vision to join the Visual Geometry Group at the Department of Engineering Science (central Oxford). The post is funded by EPSRC and is fixed-term for 12 months with possible extension.

The aim of the project is to develop visual descriptors and learning algorithms for sign language and action recognition in broadcast video using weak supervision from the subtitles and other meta-information. It is a joint project between the University of Oxford (Andrew Zisserman), the University of Leeds (David Hogg) and the University of Surrey (Richard Bowden).

You will develop and implement novel computer vision and learning algorithms to automate recognition and detection in video. You will also be responsible for developing software infrastructure for viewing and searching the resulting classifications and detections.

You should possess or be close to completion of a PhD/DPhil in Computer Vision or Machine Learning, and have a proven background in recognition in images or videos. Good communication skills both written and verbally are essential. Ability to program in Matlab and C++ is desirable.

Informal enquiries may be addressed to Andrew Zisserman (--LOGIN--0a57d96ddc877790dca29cdfec95248aeng[dot]ox[dot]ac[dot]uk ).

Only applications received before 12.00 midday on Friday 5 December 2014 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.

The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.

Job Details:
https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=115908

• Postdoc (or PhD student) position in Computational and Cognitive Neuroscience at the Netherlands Institute for Neuroscience and the Centrum Wiskunde & Informatica, Amsterdam (The Netherlands). Received: 14/10/2014.

Post-doc (or PhD student) in Computational and Cognitive Neuroscience

How is reinforcement learning implemented in the brain?

A post-doc (or PhD student) position is available to develop new biologically plausible reinforcement learning theories. This project is a collaboration between in the Vision & Cognition group (Dr. Pieter Roelfsema) at the Netherlands Institute for Neuroscience in Amsterdam and the NeuroInformatics Lab at the Centrum Wiskunde & Informatica in Amsterdam (Dr. Sander Bohte).

Our recent theoretical insights have allowed a preliminary understanding of how animals learn to represent and memorize the key features of sensory stimuli for the guidance of action, and how this learning can proceed by trial-and-error (Rombouts et al. NIPS 2012, Roelfsema et al., TiCS, 2010). The present project focuses on the learning of subroutines, which can be incorporated into larger routines, during trial-and-error learning. We aim to develop a biologically plausible learning rules that endow neural networks with the possibility to learn hierarchical task structures.

The project is funded by an NWO grant from the Natural Artificial Intelligence program.

The successful applicant will have a solid computational background, an interest in cognitive neuroscience and good programming skills.

Appointment:
The position involves a temporary appointment for 2-4 years. We offer a competitive salary with excellent secondary benefits and friendly taxes, and also an extremely friendly, interactive and international working environment. Amsterdam is one of Europe's most beautiful and lively cities where almost everybody speaks and understands English, so that candidates need not be afraid of the language barrier.

To apply, please send application letter, CV and two letters of recommendation to:

Tini Eikelboom
The Netherlands Institute for Neuroscience
Meibergdreef 47
1105 BA Amsterdam, The Netherlands
Telephone: +31-20-5664587
E-mail: --LOGIN--0eb1722bfbc013019531abc4469bb1cenin[dot]knaw[dot]nl

• Postdoctoral Researcher: Classifying Human State Estimation for Autonomy Integration at the Army Research Laboratory (USA). Received: 14/10/2014.

The Army Research Laboratory's Translational Neuroscience Branch in collaboration with the Sensors and Bioinspired Controls group seeks to enable revolutionary advances in human-autonomy integration. Our approach combines modern neuroscience with novel, distributed control system architectures, computer science and engineering to create a generalized framework that capitalizes on human and autonomy abilities while compensating for their limitations.

In service of this goal, we are looking for a post-doctoral fellow to work as a part of a multi-disciplinary team including US Army Research Laboratory, US Air Force Research Laboratory, DCS Corporation and Columbia University.

The successful applicant will work with the Translational Neuroscience and Sensors and Bioinspired Controls groups to 1) develop automated methods for extracting human states from human physiological data, 2) incorporate human state information with autonomous system generated state information to develop joint state estimates, and 3) utilize the individual and joined state information within control system to optimize state prediction and system performance. The successful applicant is expected to also contribute intellectually to other Translational Neuroscience and Sensors and Bioinspired Controls research projects. The successful applicant is expected to robustly publish in scientific journals and present their findings at international topical conferences.

Applicants should have a PhD (or equivalent degree) in Neuroscience, Bioengineering, Electrical Engineering, Controls and Dynamic Systems, Computer Science, Applied Mathematics, Mechanical Engineering, Aerospace Engineering, or Probability and Statistics with a strong background and demonstrable experience in at least one of these topics: brain-computer interface, machine-learning methods, multisensor integration for human state monitoring, statistics and probability, control systems, autonomy. Additional desired skills include: MATLAB-based analyses, EEG analysis, applied mathematics, Bayesian process, joint estimation, state estimation, machine learning, neuroscience, programming (C++, C#, Python, etc), embedded systems, distributed systems, dynamics and control, brain computer interface, human-robot interaction, autonomous systems, multi-sensor state estimation, hardware integration and micro-controller experience, modeling and simulation experience, and strong written and presentation skills.

Please note that all jobs with the Department of Defense require US citizenship and do not allow contractors to hold dual citizenship. Postdoctoral Fellows must also be able to obtain secret level security clearance.

ARL is committed to hiring a diverse workforce of world-class researchers and all eligible applicants are encouraged to apply. Position includes competitive salary, health care, and travel for conferences/collaboration. Position is one year with potential for extension. Specific salary depends on degree discipline and years since degree conferred; healthcare benefits and conference / collaboration travel will be included in addition to annual salary.

Location: Army Research Laboratory - Adelphi Laboratory Center (Adelphi, MD)
Army Research Laboratory - Aberdeen Proving Grounds (Aberdeen, MD)
The locations are approximately 1 hour apart in the Greater Baltimore-Washington D.C. area, and it is anticipated that the successful applicant will spend half of his/her time at each location.

Contact:
Jamie R. Lukos, Ph.D.
US Army Research Laboratory (HRED-TNB)
Aberdeen Proving Ground, MD
--LOGIN--7b2bb594d43b02b19d03276ba4e7dbc3mail[dot]mil

ARL Post Doctoral Program: http://www.arl.army.mil/www/default.cfm?Action=3&Page=177
ARPI Project: http://www.defenseinnovationmarketplace.mil/ARPI.html

• PhD position in Secure and Private Machine Learning and Decision Making at Chalmers University of Technology (Sweden). Received: 14/10/2014, Deadline: 21/11/2014.

We are looking for an excellent, motivated, self-driven doctoral student to work in the area of machine learning and decision theory with a focus on security and privacy. The position is for five years at the Department of Computer Science and Engineering, within the division of Computing Science and the group of Algorithms, Learning and Computational Biology (http://www.cse.chalmers.se/research/lab/), who are doing research on fields ranging from machine learning, statistics, algorithms, optimisation, reinforcement learning to computational biology, text and massive data analysis.

The student will be employed in the scope of the Swiss Sense Synergy project, whose aim is to develop intelligent location-based networking protocols and crowdsourcing applications. The student will be expected to develop and analyse state-of-the-art algorithms for distributed machine learning and decision making that provide users with strong privacy guarantees. In particular, the research will be focused on machine learning and differential privacy for distributed systems, but some aspects of the work will involve recent advances in cryptography. The student will be supervised by Dr. Christos Dimitrakakis (Machine learning, decision theory and differential privacy - see http://www.cse.chalmers.se/~chrdimi/ ) and co-supervised by Dr. Katerina Mitrokotsa (Cryptography and security - see http://www.cse.chalmers.se/~aikmitr/ ). Further info about the SwissSenseSynergy project can be found here http://goo.gl/tmQ9NJ

The application deadline is November 21, 2014. Apply here:

http://www.chalmers.se/en/about-chalmers/vacancies/Pages/default.aspx?rmpage=job&rmjob=2438

• PhD Studentships in Information Processing and Self-Organization in Adaptive Biological and Artificial Systems at the University of Hertfordshire (UK). Received: 13/10/2014.

PhD Studentships Available on

INFORMATION PROCESSING AND SELF-ORGANIZATION
IN ADAPTIVE BIOLOGICAL AND ARTIFICIAL SYSTEMS

Adaptive Systems Research Group
School of Computer Science
University of Hertfordshire, UK

PhD studentships are available in the Adaptive Systems Research Group at the University of Hertfordshire in the topics of Artificial Life, especially for the study of principles behind information processing in adaptive, complex and self-organizing systems and the emergence and growth of complexity, a research area which has witnessed a dramatic increase of interest in the last years.

We use mathematical methods, with particular emphasis on an arsenal of recently developed techniques based on Shannon's information theory, to describe, understand or construct such systems in the context of AI/robotics and biology. Questions of interest and possible research directions include, but are not limited to:

- information-theoretic approaches towards a mathematically founded understanding of information processing and the perception-action loop in agents; fundamental quantitative constraints governing the interaction between an agent and its environment

- theoretically grounded pathways towards a systematic way to generate self-organization in complex systems and autonomous increase in complexity

- biologically plausible methods based on information theory for creating Artificial Intelligence systems from first principles

- generic models for intrinsic motivation generation and artificial creativity based on such principles

- fundamental principles underlying biological (e.g. neural) computation (with opportunities to collaborate with the Biocomputation Research Group)

The prospective candidates should have a strong first degree, a keen interest in contributing to a new, highly dynamic and quickly expanding research area and a very strong background in Computer Science, Physics, Mathematics, Statistics or another relevant computational/quantitative discipline. In particular, they should demonstrate excellent programming skills in one or more major computer languages. A mathematical/numerical background would be desirable, knowledge in at least one of the following fields would be a plus: probability theory, information theory, differential geometry, control, data modelling/neural network techniques.

The envisaged research will take place in the vibrant and enthusiastic research environment of the Adaptive Systems Research Group in the School of Computer Science at the University of Hertfordshire which offers a large number of specialized and interdisciplinary seminars as well as general training opportunities. Research in Computer Science at the University of Hertfordshire has been recognized as excellent by the latest Research Assessment Exercise, with 55% of the research submitted being rated as world leading or internationally excellent.

The University of Hertfordshire is located in Hatfield, Hertfordshire UK which is considered the “northern green belt” of London. Hatfield is close to London (less than 25 minutes by train to Kings Cross), has convenient access to Stansted, Luton and Heathrow airports, and is not far from the historic town of St. Albans.

Successful candidates are eligible for a research studentship award from the University (which includes approximately GBP 13,800 per annum bursary and the payment of the standard UK/EU student fees).
Applicants from outside the UK or EU are eligible, but will have to pay half of the overseas fees out of their bursary. Information about the current tuition fees can be found at

http://www.herts.ac.uk/apply/fees-and-funding

As start of the studentships we aim for 1. February 2015.

For informal inquiries on the research topic please contact: Dr. Daniel Polani (E-mail: --LOGIN--92df5fb1022b0d5bde87eb392bec3412herts[dot]ac[dot]uk )

Application forms are available from

http://homepages.stca.herts.ac.uk/~comqvs/ApplicationFormUHStudentship.doc

and should be returned to:

Mrs Lorraine Nicholls
Research Student Administrator, STRI
University of Hertfordshire
College Lane
Hatfield, AL10 9AB Herts
Hertfordshire
UK

Tel: +44 1707 286083
Email: --LOGIN--46f9e79b923ae8a14eb8f9518c24619eherts[dot]ac[dot]uk

Applications should also include two references and transcripts of previous academic degrees.

The shortlisting process for the applications will begin on 10 November 2014.

• PhD Scholarship in Cognitive Audio Systems at the Technical University of Denmark, Copenhagen (Denmark). Received: 13/10/2014, Closing date: 24/10/2014.

I am searching a qualified candidate for a PhD scholarship in Cognitive Audio Systems at the Cognitive Systems Section, Department of Applied Mathematics and Computer Science at the Technical University of Denmark, Copenhagen, Denmark.

PhD students are formal employees at the university during a three-year period, and the monthly salary (before tax) is around 3,600 EUR (pension plan included). The actual salary is regulated by an agreement between DTU and the relevant professional union.

Qualified candidates should have obtained, or is about to finish, a Masters’ degree in relevant areas such as computer science and electrical engineering with specialization in machine learning, signal processing, audio processing, or similar.

Send an email by October 24, 2014 to --LOGIN--cd8ab5ec20e0e388ae260c9d335ee499dtu[dot]dk using subject field “PhD Scholarship in Cognitive Audio Systems” and include the following documents:

· Short CV including telephone number and/or Skype name, description of relevant courses, projects, and potential publications;

· Potential relevant references from university professors or private sector managers;

· English language proficiency documentation (if not Danish);

· Copy of MSc and BSc diplomas (if MSc diploma has not been issued then send grade list);

· Weighted average grade of MSc and BSc studies according to step 6 at the general call web page http://www.dtu.dk/english/career/job?id=89c92a0e-1811-4be6-99c0-604edab1da2a. Use the excel sheet http://www.dtu.dk/english/Education/phd/Applicant/Pre_acceptance(1)

As the funds are very limited I expect that weighted average grade above 10.5 is necessary to enter the short list of candidates, which could be granted a scholarship by the study board. If this criterion is not fulfilled, please do not send an application.

Based on qualifications I will promote one candidate.

The candidate and I will collaborate on preparing the final application to be send by the deadline November 3, 2014 (according to the general call web page mentioned above). The study board is then going to grant a limited number of scholarships.

Background:

The PhD will be associated with ongoing activities in audio including:

· The strategic research project CoSound (www.cosound.dk) with 10+ partners. The aim of CoSound is integration of audio and other modalities with interactive user data to improve music experience/navigation and search & retrieval in large audio archives. The project has developed a modular computational platform, which enables large-scale analysis and conduction of experiments.

· The Danish Sound Innovation Network (http://www.danishsound.org). A university/industry network that facilitates knowledge dissemination and cross-sector collaboration.

Research themes can include:

· Multimodal integration of audio content, context, and interactive user information with the purpose of providing novel music navigation interfaces and/or semi-automated enrichment and navigation in large sound and media archives.

· Interactive user information models for efficient elicitation of cognitive aspects such as affection, perception, intention, goal in order to adapt and align sound processing systems to users’ needs.

• Post-doctoral research fellowship on modelling musical preference decisions at Queen Mary University of London (UK). Received: 11/10/2014.

We seek to appoint a Post-doctoral Research Fellow at Queen Mary, University of London as part of an EPSRC-funded project on predicting musical choices using computational models of cognitive and neural processing. The goal of the project is to understand the cognitive and neural processes involved in musical preference decisions using computational modelling that incorporates the structure of the music, the psychological state and traits of the listener and the listening context.

The successful candidate will be involved in the design and implementation of the models, data collection from human listeners in behavioural and EEG experiments, analysing the data to test the model predictions, and writing up the results for publication in peer-reviewed journals.

Start date: 5 January 2015. Duration: 14 months (until March 5 2016). Salary: £34,283.

Interviews will take place in late November 2014.

For further information and to apply see: http://music-cognition.eecs.qmul.ac.uk/postdoc.html

• PhD positions in neuro-computational research of modeling emotions at the Technical University of Chemnitz (Germany). Received: 11/10/2014, Closing date: 31/10/2014.

Several PhD (E 13 TV-L, 100%) positions are available at the Technical University of Chemnitz (Germany) in the Department of Computer Science. The positions are funded for three years.

Among other fields of human-machine interactions, we are particularly interested in neuro-computational research of modeling emotions, particularly brain-inspired or brain-like solutions of the emotional system involving vision and audition.

Please see http://crossworlds.info/jobposting/

• Faculty position in Computational Neuroscience / Cognitive Science at University of Cambridge (UK). Received: 09/10/2014, Closing date: 28/11/2014.

Faculty position in
Computational Neuroscience / Cognitive Science
Department of Engineering, University of Cambridge, UK

Applications are invited for a University Lectureship / Senior Lectureship (~ US Assistant / Associate Professor equivalent) in the broad area of Computational Neuroscience, including Computational Cognitive Science in the Computational and Biological Learning Lab (cbl.eng.cam.ac.uk). CBL combines expertise in computational neuroscience and cognitive science (Daniel Wolpert, Mate Lengyel, Rich Turner) and machine learning (Zoubin Ghahramani, Carl Rasmussen). We particularly encourage applicants who would complement our current research activities. The successful applicant’s research should use computational or theoretical approaches, and may combine these approaches with behavioural experiments.

Informal enquiries are welcome to:

Daniel Wolpert (--LOGIN--97ef0b26242e2720fc3e6509cee84d71eng[dot]cam[dot]ac[dot]uk )
Mate Lengyel (--LOGIN--e0a2cbc8c09026acadaaf4a04ce8054deng[dot]cam[dot]ac[dot]uk )
Richard Turner (--LOGIN--c7c4563378519548f70154c9a283f274cam[dot]ac[dot]uk ).

Timeline:
- Closing date of applications: Friday November 28th
- Interviews: February, 2015

Further information and details of the application process can be found at http://cbl.eng.cam.ac.uk/Public/VacancyFaculty2014

• Postdoctoral Researcher and Engineer Positions in Multi-scale Neural Modeling at OIST, Okinawa (Japan). Received: 02/10/2014.

Postdoctoral Researcher and Engineer Positions in Multi-scale Neural Modeling
Neural Computation Unit
Okinawa Institute of Science and Technology

The Japanese Ministry of Education, Culture, Sports, Science and Technology started a new project “Brain/MINDS” that aims to create structural and anatomical maps of the marmoset brain using innovative technologies.

Within this project, the group lead by Prof. Kenji Doya at Okinawa Institute of Science and Technology (OIST) will develop computational frameworks for constructing multi-scale neural models that link cellular and network dynamics to behavioral and cognitive functions by utilizing large-scale anatomical and physiological data sets.

Positions are available for postdoctoral researchers and engineers to work on one or more of the following subtopics:
1) Estimation of cellular and synaptic parameters from connectome, imaging, and electrode recording data.
2) Automated reduction of conductance-based models to integrate-and-fire models, and spiking neural network models to population firing rate models.
3) Application and validation of the above methods with the data being produced by the project.

Candidates should have Ph.D. or masters degree in mathematics, computer science or relevant areas and must have strong skills in programming, data analysis, and simulation. Experience in statistical machine learning and/or computational neuroscience is desired.

OIST offers an excellent interdisciplinary research environment, including high-performance computing, in its campus overlooking beautiful coastline and coral reefs. Researchers will have opportunities to closely collaborate with leading neuroscientists participating in the project.

Initial appointment will be from October 2014 to March 2015, with a possibility of renewal till March 2017. Competitive salary is offered based on the candidate’s experience. OIST is an equal opportunity, affirmative action employer and provides strong support for its staff and family members coming from abroad.

Applicants should send a CV, publication list, statement of research, and contact information of three referees to Prof. Kenji Doya <--LOGIN--8d62eb7cc41abb57e7fd8f300e167de8oist[dot]jp >.

• Se buscan 100 ingenieros para trabajar en Granada (Spain). Received: 29/09/2014.

Jornada de contratación y empleo del próximo día 14 de octubre, en nuestra sede de la CGE, Calle Maestro Montero 23 de Granada. Nuestros asociados precisan contratar en los próximos meses más de 100 ingenieros y programadores. Organizamos esta jornada de contratación y empleo con el fin de que los interesados puedan conocer de primera mano cada una de las empresas y sus ofertas, y puedan entregar personalmente su carta de presentación y curriculum vitae. También se presentarán ofertas y contratos de nearshoring con el fin de que nuestras empresas asociadas puedan entregar sus credenciales.

Programa de la jornada

09:30 Apertura de la jornada, presentación y desarrollo:
- Don Gerardo Cuerva Valdivia, Presidente onGranada Tech City
- Doña María Merinda Sadaba, Diputada de empleo de la Diputación de Granada
- Representante, del Servicio Andaluz de Empleo (SAE)
- Don Jorge Saavedra, Concejal de empleo del Ayuntamiento de Granada
- Don Jesús Chamorro, Delegado del Rector para la TIE de la Universidad de Granada

10:00 NorthGate Arinso, Doña Christel Verhoye – Gerente del centro de Granada.

10:20 Unit4 R&D, Don Daniel Buenestado – Gerente del centro de Granada.

10:40 BI4Group, Don Arnoud Krom – CEO Consejero Delegado.

11:00 Nazaries IT, Don Eduardo Haro – CEO Consejero Delegado.

11:20 Input 4 You, Don Stephan Cornelis – CEO Consejero Delegado.

11:40 Grupo Trevenque, Don José Antonio Caparrós – Jefe de Recursos Humanos.

12:00 onGranada Tech City, Vito Episcopo – Secretario General – Cierre de la jornada.

En la jornada podrán entregar su CV en los estand de las empresas previstos a tales efectos.

Debe confirmar su asistencia completando el siguiente formulario . O mandando un correo a --LOGIN--003546f487f51f5e7a7d8343223b241aongranada[dot]com

• PhD/MSc in Neuroinformatics and Computational Neuroscience at the University of Edinburgh (UK). Received: 28/09/2014, Closing date: 12/12/2014.

PhD/MSc IN NEUROINFORMATICS, COMPUTATIONAL NEUROSCIENCE, UNIVERSITY OF EDINBURGH.

We invite applications for the PhD and MSc programme in Neuroinformatics and Computational Neuroscience at the University of Edinburgh.

The MSc programme is a one year course introducing key concepts and applications through courses and a research project. It serves as preparation for a PhD or work in industry for students from quantitative disciplines with little or no previous exposure to neuroscience. A wide range of courses are available, including computational neuroscience, bioinformatics, machine learning, robotics and computer vision. This programme is self-funded.

The PhD is a 3 year funded programme with a strongly interdisciplinary character and is ideal for students who want to apply their computational and analytical skills to problems in neuroscience and related fields. Often PhD projects are done in collaboration with one of the many affiliated departments and institutes, which includes experimental neuroscience groups in Edinburgh and beyond. The programme it fully funded and provides a stipend and fees.

The PhD programme includes the following themes, where Edinburgh has a strong research community:

- computational and mathematical studies of neural information processing
- spiking computation and neurorobotics
- advanced experimental data analysis
- neural simulation and modelling

PhD applications can be prepared in conjunction with one of the PhD supervisors in these research areas:

- Douglas Armstrong
- James Bednar
- Matthias Hennig
- Michael Herrmann
- Peggy Series
- Mark van Rossum
- Ian Simpson
- Barbara Webb

For more information on faculty, visit:
http://www.anc.ed.ac.uk/neuroscience

Examples of ongoing projects are listed here:
http://www.anc.ed.ac.uk/dtc/index.php?option=com_projects&completed=0

Students with a strong background in either computer science, mathematics, physics or engineering are particularly welcome to apply.
Motivated students with other backgrounds will also be considered. This programme cannot normally consider non-EU applicants unless own funding such as an external studentship is available.

Edinburgh has been voted as 'best place to live in Britain', and has many exciting cultural and student activities.

Recruitment is a rolling process that ends on 13 March 2015, but for full consideration apply by 12 December 2014.

To apply, visit:
http://www.ed.ac.uk/studying/postgraduate/degrees?r=site/view&id=489&cw_xml=

The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

• Assistant Professor in Computer and Biological Vision at University of Innsbruck (Austria). Received: 26/09/2014, Deadline: 06/11/2014.

The University of Innsbruck has an immediate opening for an Assistant Professor in computer and biological vision, situated at the Institute of Computer Science.

The position is initially limited to 6 years, but can lead to a permanent position of Associate Professor subject to a successful performance evaluation. The earliest possible starting date is January 5, 2015.

The successful applicant will conduct Research that contributes to and covers areas in both computer vision and biological vision, including computational modeling of biological vision at the level of neurons, neuronal populations and/or visual cortical areas, and in computer vision inspired by neuroscience, with a particular focus on vision for (animate and robotic) activity.

Minimum qualifications include a doctoral degree in computer science or a related field, extensive research experience in the aforementioned research areas, and established research collaborations in both computer vision and visual neuroscience.

Applications can be submitted until November 6, 2014. For more information see https://iis.uibk.ac.at/asstprof.

The University of Innsbruck, Austria

The history of the University of Innsbruck dates back to 1669. It offers a complete range of academic curricula and currently counts 28000 students. Founded in 2001, the Department of Computer Science is highly productive in diverse research domains, and is internationally very well connected.

Innsbruck is home to 35000 students who imprint a distinctive, international student atmosphere upon this lively city of 125000. Beautifully located in the Tyrolean Alps, on the Inn river and surrounded by summits of up to 2718m, Innsbruck offers outstanding opportunities and quality of life all around the year.

• Beca FPI en la Universitat Politècnica de València (Spain). Received: 22/09/2014, Deadline: 26/09/2014.

En el departamento de sistemas informáticos y computación de la Universitat Politècnica de València (UPV), buscamos candidatos para una beca FPI asociada al proyecto Value@Cloud subvencionado por el ministerio. El objetivo del proyecto es el desarrollo de un marco de trabajo para apoyar el desarrollo incremental de servicios cloud dirigido por modelos y orientado al valor del cliente.

Es requisito: 1) ser titulado superior o haber superado 300 créditos de los cuales 60 han de ser de master (la UPV considera los créditos de 5º curso de ingenierías como créditos de master); 2) estar matriculado o haber sido admitido en un programa de doctorado, para el curso 2014/2015 (el cumplimiento de este requisito podrá acreditarse hasta la fecha en la que finalice el plazo de subsanación establecido).

La duración de la ayuda es por un máximo de 48 meses. Es posible la realización de una tesis doctoral en el ámbito de esta beca y proyecto.

Los interesados pueden ponerse en contacto con:

Silvia Abrahao (--LOGIN--247ca02652574e50318b3f8b851e79a3dsic[dot]upv[dot]es )
Departamento de Sistemas Informáticos y Computación
Escuela Técnica Superior de Ingeniería Informática
Universitat Politècnica de València

Más información en:
http://www.boe.es/diario_boe/txt.php?id=BOE-A-2014-9185

• Postdoc in computational modelling of reading at Lancaster University (UK). Received: 18/09/2014, Closing date: 30/09/2014.

Postdoc in computational modelling of reading in Department of Psychology at Lancaster University

http://www.jobs.ac.uk/job/AJL874/senior-research-associate-in-computational-language-modelling/

The post is for up to 3 years, commencing January 2015, working with Padraic Monaghan (Lancaster), Stephen Welbourne (Manchester), and Fernando Cuetos (Oviedo). The project involves constructing and testing computational models of reading, to determine the effect of early and late exposure to language on reading across the lifespan. The post will also involve testing the predictions of the model for readers in English and Spanish using psycholinguistic experimental methods. The project will design and analyse data from models learning to read in English and in Spanish, with particular focus on how incremental learning of the vocabulary has implications for interactions between meaning and phonology as reading proceeds.

We are looking for a highly-motivated and independent researcher with experience in computational modeling, preferably using neural networks, and with an interest in psycholinguistics and/or reading.

This post offers the opportunity to join a large developmental psychology and language research group in the Department of Psychology at Lancaster University, together with an active group of researchers using computational techniques in several areas of cognitive psychology.

This is a fixed term position for up to three years.

The Department of Psychology at Lancaster University:

The Department of Psychology comprises 35 faculty, along with a large and active group of research and technical staff. Our research facilities are excellent, including a dedicated building for research with a suite of labs for infant and child studies. We have extensive neurophysiological, experimental, and computational facilities for supporting our research. The Department includes one of the largest developmental psychology research groups in the UK, and language research is conducted within a rich collaborative network including the Departments of Linguistics and English Language and Computing. The Department co-hosts the ESRC International Centre for Language and Communicative Development, and the current post will benefit from alignment with the training provision and research facilities of this Centre.

We welcome applications from people in all diversity groups.

Please contact Padraic Monaghan - --LOGIN--cef0b9b18a656b1633ba43084aad996clancs[dot]ac[dot]uk - if you require further information.
http://www.lancaster.ac.uk/staff/monaghan/index.html

• Postdoc and research fellow positions in Computer Science at Aalto University and University of Helsinki (Finland). Received: 18/09/2014, Deadline: 12/10/2014.

Postdoctoral Positions in Computer Science in Helsinki, Finland

Application deadline October 12, 2014

Topics include: Algorithms, Augmented Research, Bioinformatics, Distributed Algorithms, Distributed Computing, Human-Computer Interaction, Logic, Machine Learning, System Design, etc.

More info at: http://www.hiit.fi/node/2856

Why Helsinki? The collaborating Aalto University and University of Helsinki form a leading hub of computer science and modelling. Helsinki region is a safe, pleasant and attractive place to live in, with well-functioning services such as public transport etc. Finland has a comprehensive social security and health care system, including exceptionally good parental leaves and children's day care services.

Group leaders: Professor Keijo Heljanko, Dr. Antti Honkela, Professor Giulio Jacucci, Docent Tomi Janhunen, Professor Samuel Kaski, Professor Harri Lähdesmäki, Professor David McGookin, Professor Petri Myllymäki, Professor Jukka Suomela, Professor Hannu Toivonen and Professor Stavros Tripakis.

• Open calls for two PhD fellowships and one tech support in probabilistic computation at University of Coimbra (Portugal). Received: 18/09/2014, Deadline: 29/09/2014.

Accepting submissions until September 29th for PhD and technical support fellowships at ISR-UC

BAMBI Bottom-up Approaches to Machines dedicated to Bayesian Inference

http://mrl.isr.uc.pt/projects/bambi/

Within the BAMBI consortium, ISR-UC in Coimbra will focus on the emulation hardware implementation and on the computational architecture to be developed, namely in the composition of basic building blocks for probabilistic computation.

Two positions for PhD fellowship (BD*):

- The candidate will pursue PhD Studies on computational theory with experiments of probabilistic computation. The research will study probabilistic computation following two major axes: algebra and reconfigurable hardware. The activities will be in coordination with the Project Team at University of Coimbra ensuring the successful implementation of the aims of the BAMBI project (Bottom-up Approaches to Machines dedicated to Bayesian Inference).

- Requirements: MSc degree in Electrical/Electronic/Biomedical Engineering, Computer Science or similar. Preference is given to candidates with academic background and MSc thesis experience in digital computing hardware, reconfigurable logic devices, or distributed computing.

One position for technical support (BI-M*):

- VHDL programming and implementation on FPGAs, and technical support for the project.

- Requirements: MSc degree in Electrical/Electronic Engineering, Computer Science or similar. Preference is given to candidates with academic background and MSc thesis experience in VHDL and reconfigurable logic devices.

The work will be carried out at ISR-UC in a lab equipped with high end reconfigurable logic resources and several robotic resources for some target applications. When required, short stays at some of the project partners might take place, beyond the regular project meetings.

The scholarship has an initial probation period of 3 months, and will be anual and renewable during the duration of the project.

*The fellowship monthly stipend follows the rules in http://alfa.fct.mctes.pt/apoios/bolsas/valores.phtml.en, and for BD can include payment of the tuition fees.

Submissions should include an introduction/motivation letter indicating intended position, full CV and degree certificates, and be sent by email to: Jorge Lobo (--LOGIN--e2ccf845c96340f0a951c39f6d344b70isr[dot]uc[dot]pt ).

Summary of the project:

We propose a theory and a hardware implementation of probabilistic computation inspired by biochemical cell signalling. We will study probabilistic computation following three axes: algebra, biology, and hardware. In each case, we will develop a bottom-up hierarchical approach starting from the elementary components, and study how to combine them to build more complex systems. We propose Bayesian gates operating on probability distributions on binary variables as the building blocks of our probabilistic algebra. These Bayesian gates can be seen as a generalisation of logical operators in Boolean algebra. We propose to interpret elementary cell signalling pathways as biological implementation of these probabilistic gates. In turn, the key features of biochemical processes give new insights for innovative probabilistic hardware implementation. We propose to associate conventional electronics and novel stochastic nano-devices to build the required hardware elements. Combining them will lead to new artificial information processing systems, which could, in the future, outperform classical computers in tasks involving a direct interaction with the physical world. For these purposes, the BAMBI project associates research in Bayesian probability theory, molecular biology, nanophysics, computer science and electronics.

The BAMBI project is a EU collaborative FET Project - FP7-ICT-2013-C, project number 618024.

- Official project webpage: http://www.bambi-fet.eu

- EU cordis: http://cordis.europa.eu/projects/rcn/110508_en.html

For more information on the project and the position, send an e-mail to: Jorge Lobo (--LOGIN--e2ccf845c96340f0a951c39f6d344b70isr[dot]uc[dot]pt ).

• Contrato Predoctoral para la Formación de Doctores en el Instituto de Ciencias del Espacio (CSIC-IEEC), Barcelona (Spain). Received: 17/09/2014, Deadline: 26/09/2014.

Contrato Predoctoral para la Formación de Doctores (hasta 4 años)

Grupo de Astronomia Gravitatoria del Instituto de Ciencias del Espacio (CSIC-IEEC) [http://gwart.ice.cat]

El grupo de Astronomia Gravitatoria busca candidatos para un contrato predoctoral asociado con su proyecto de investigación del Plan Nacional de I+D (Convocatoria Excelencia):

ESP2013-47637-P : DESARROLLO Y EXPLOTACION DE LA MISION LISA PATHFINDER Y CONTRIBUCIONES AL UNIVERSO GRAVITATORIO Y STE-QUEST

LISA Pathfinder es una misión de la Agencia Espacial Europea que tiene como objetivo principal poner a prueba la tecnología principal de un futuro detector espacial de ondas gravitatorias que permitirá descubrimientos revolucionarios en astrofísica, cosmología y física fundamental.
LISA Pathfinder tiene previsto ser lanzada en Julio de 2015 y el candidato podrá participar en el análisis científico de la misión así como en investigaciones para el desarrollo de detectores de ondas gravitacionales.

Las personas interesadas pueden contactar con Carlos F. Sopuerta (--LOGIN--92233fe679d3987b62d8c6e07fc64868ieec[dot]uab[dot]es )

Podrán ser solicitantes todas aquellas personas que estén matriculados o hayan sido admitidos en un programa de doctorado, para el curso 2014/2015. El cumplimiento de este requisito podrá acreditarse hasta la fecha en la que finalice el plazo de subsanación de la solicitud. Plazo de presentación de solicitudes (a través de la web del ministerio): 10 de septiembre al 26 de septiembre de 2014 a las 15:00 horas:

http://www.idi.mineco.gob.es/portal/site/MICINN/menuitem.dbc68b34d11ccbd5d52ffeb801432ea0/?vgnextoid=186f39d05c7d6410VgnVCM1000001d04140aRCRD

• 2 PhD scholarships in Physics at the University of Barcelona (Spain). Received: 15/09/2014, Deadline: 22/10/2014.

The ECM department of the UB offers 2 PhD scholarships in Physics

As part of the announcement of 2 PhD scholarships in the department ECM, at the Faculty of Physics of the UB, the group of Prof. Jordi Ortín offers the supervision of a PhD thesis in one of the following lines of research:
- Dynamics of fluids in disordered media
- Hydrodynamics of complex fluids
If you are interested, please write me at the address: ortin(at)ecm.ub.edu

Requirements for candidates
- Be enrolled in a doctoral program at the time of signing the contract and throughout its term.
- Have a 6.50 or higher grade in the academic record of your undergraduate studies (Physics or Engineering).

Duration and Remuneration
- Maximum duration of 36 months. - Remuneration of 1.173.00 euros/month during the period of contract, for 14 months/year.
- Exemption from paying fees of direction, supervision and ongoing evaluation of the thesis.
- Financial support for short research stays in Spain and abroad.

Obligations
- Full-time studies and research work leading to the award of a doctorate degree.
- Participation in the teaching duties of the department, up to a maximum of 60 hours per year.

Deadline for submission of the application form
From September 10, to 13 pm Oct. 2, 2014.

Full details
http://www.ub.edu/beques/3rcicle/ub/apif/index.html

• Beca FPI Psicología-Neurociencia Cognitiva en la Universidad de Granada (Spain). Received: 14/09/2014, Deadline: 26/09/2014.

Se buscan candidatos para una beca FPI asociada a un proyecto del MINECO, con incorporación el 1-01-2015.

El proyecto tiene como objetivo investigar la relación entre ejercicio físico (puntual y regular), forma física, y atención sostenida.

El candidato tiene que tener interés en la Neurociencia Cognitiva y en el análisis de señales biológicas (EEG y EKG), así como tener formación en alguna de las áreas afines al proyecto (Psicología, informática-inteligencia artificial, física, medicina, biología, etc...). Debe asimismo contar con un Master de 300 ECTS así como los 12 ECTS de investigación.

Antes de enviar la solicitud los interesados deben contactar con el IP del proyecto, el Profesor Daniel Sanabria Lucena (--LOGIN--74bd572ba397597431b56b15f3776dd9ugr[dot]es ), explicando su interés y motivación por el proyecto, y adjuntando su CV y los datos de contacto de dos personas que puedan aportar referencias.

http://www.idi.mineco.gob.es/portal/site/MICINN/menuitem.dbc68b34d11ccbd5d52ffeb801432ea0/?vgnextoid=186f39d05c7d6410VgnVCM1000001d04140aRCRD

• Beca FPI en Física de Partículas en la Universidad de Granada (Spain). Received: 12/09/2014, Deadline: 26/09/2014.

El grupo de Física Teórica de Altas Energías de la UGR (http://www-ftae.ugr.es) busca candidato para una beca predoctoral (FPI) asociada al proyecto FPA2013-47836-C3-1-P:

“Cálculos precisos para la búsqueda de nueva física a la escala del TeV en grandes colisionadores y observatorios de partículas”.

El plazo de solicitud termina el 26 de septiembre de 2014 a las 15:00 h.

Para más información y formalización de solicitudes:
http://www.idi.mineco.gob.es/portal/site/MICINN/menuitem.dbc68b34d11ccbd5d52ffeb801432ea0/?vgnextoid=186f39d05c7d6410VgnVCM1000001d04140aRCRD

Los destinatarios de estas ayudas serán todas aquellas personas que estén matriculados o hayan sido admitidos en un programa de doctorado, para el curso 2014/2015.

Para cualquier consulta, contáctese a: José Ignacio Illana (--LOGIN--e456a17c332245480e60fae769776038ugr[dot]es ), Roberto Pittau (--LOGIN--928d9f15b0bc18c892e7be0ad3ad4d2eugr[dot]es ) o José Santiago (--LOGIN--fdc851e82bd5806bd3f9ab491c3a79fcugr[dot]es ).

• Postdoc Position in BCI for Cognitive Rehabilitation at University of Freiburg (Germany). Received: 11/09/2014.

OPEN POSITION FOR A POSTDOCTORAL FELLOW

Type: Postdoc Position

Topic: Brain-Computer Interfaces in Cognitive Rehabilitation after Stroke (speech & attention deficits)

Where: BrainStateDecoding lab of Dr. Michael Tangermann (Computer Science Dept., University of Freiburg, Germany)

When: ideal start before November 2014; duration: 12 months+

Further information: http://www.bsdlab.uni-freiburg.de/jobs

• PhD position in cognitive neuroscience at the University of Granada (Spain). Received: 10/09/2014, Deadline: 26/09/2014.

PhD position in the Mind, Brain and Behavior Research Center (CIMCYC) in Granada (Spain)

We are looking for a highly motivated student to enroll in a 4 year PhD program (or 3 yr PhD + 1 yr postdoc) in the the Mind, Brain and Behavior Research Center (CIMCYC; http://cimcyc.ugr.es/), a state-of-the-art multidisciplinary building which includes several research groups working on different topics (http://cimcyc.ugr.es/personal/grupos-de-investigacion). The CIMCYC is equipped with a 3T Siemens MR System, TMS, and several eye trackers and EEG recording systems.

The successful candidate will work under the supervision of Dr. Maria Ruz (http://www.ugr.es/~mruz/eng), in an interdisciplinary research project centered on functional neuroimaging in humans, funded by the Spanish 'Ministerio de Economía y Competitividad'. Topics of study will be cognitive control, consciousness and/or interpersonal interactions.

We encourage applicants with a strong interest in human neuroimaging research (especially in fMRI), with an educational background in any related discipline (i.e. neuroscience, computer science, physics, biomedical engineering, psychology, medicine or related fields). Programming skills (e.g. Matlab) and previous experience in human neuroimaging are highly desirable. Applicants must have at least 300 ECTS (60 of them at postgraduate level), hands-on research experience (equivalent to at least 12 ECTS), and be proficient in English. Start date will be the beginning of 2015.

The application deadline is quite close (26th of September, 2014), and applications must be made through the online platform here: http://goo.gl/66ZBez. Interested candidates who fulfill all the criteria noted above should contact the IP in advance (--LOGIN--90626326dbc0ba6f2bd3cc3ed7ac65dfugr[dot]es ) including a statement of research experience and motivations, a CV and contact details of at least 2 referees.

• Positions Open at South Asian University. Received: 06/09/2014.

Regular Faculty Positions: The South Asian University (SAU) is looking for faculty members who are outstanding scholars, and whose research and teaching interests will expand or complement the existing academic programs of the university. Application may be made for a regular faculty appointment or for a Visiting appointment up to maximum of 3 years.

Special Visiting Faculty Positions: The South Asian University (SAU) invites applications for Visiting Faculty Positions in its various Faculties / Departments. University seeks applications from outstanding scholars whose research and teaching interests will complement and enhance the existing academic programs of the University. These positions will have a maximum tenure of one year.

Detalles en: http://www.sau.ac.in/recruitment/jobs.html Deadline: 15 de octubre de 2014. *Los interesados, pónganse en contacto con el Prof. José Luis Verdegay Galdeano.

+ Postdoc position available in Computational Cognitive Neuroscience at Indiana University Bloomington (USA). Received: 02/09/2014.

Applications are invited for an open position as postdoctoral fellow in the Computational Cognitive Neuroscience Lab, Department of Psychological and Brain Sciences, Indiana University Bloomington.

The core research focus of the lab is in the area of brain networks and connectomics. The lab works on anatomical and functional data sets from a number of species, with a strong emphasis on human brain connectivity and connectome data. Ongoing projects in the lab involve applications of models and tools from network science, graph theory, complex dynamics and information theory to basic and clinical/translational neurobiological questions. A description of the lab and current research areas can be found at www.indiana.edu/~cortex.

Applicants should (a) have (or be in the final stages of obtaining) a PhD or equivalent degree in a field relevant to the research focus of the lab (e.g. neuroscience, neuroimaging, applied mathematics, computer science or bioengineering); (b) have a strong background in computational methods and programming (including advanced skills in Matlab); and (c) have strong enthusiasm for using computational approaches to understand neurobiological problems. Candidates with background in networks or graph theory, experience in processing and analyzing neuroimaging or electrophysiological recordings, exposure to “big data” approaches relevant to brain function, and a strong record of publication are especially encouraged to apply.

The postdoctoral fellow will join a very active and interdisciplinary research group, and will be expected to engage and interact with a growing number of network and complex systems scientists at Indiana University and beyond. The lab maintains close ties and collaborations with scientists in the IU Imaging Research Facility (housing a 3T Siemens MR scanner), the Center for Complex Networks and Systems at the School of Informatics and Computing, the Medical School campus, and at other institutions nationally and internationally. All lab members have access to excellent computational facilities.

The potential start date is negotiable, and the position is initially offered for a 1-year term which is renewable upon mutual agreement. Salary levels will follow NIH guidelines.

Please email application materials (cover letter, a full CV with a list of publications, and 3 letters of reference) to Olaf Sporns at --LOGIN--a3c50cead3f5c91c838cf056e6d175a8indiana[dot]edu .

• Faculty positions in Computer Science at American University, Washington, DC (USA). Received: 02/09/2014.

American University, College of Arts & Sciences, Department of Computer Science

Computer Science (Assistant, Associate or Full Professor)

The Department of Computer Science in the College of Arts and Sciences at American University in Washington, DC invites applications for up to three tenure-track or tenured Assistant / Associate / Full Professors to form a collaborating research team. We seek either a group of researchers who will be hired together, or a senior individual with a vision for filling the other positions.

The team’s research expertise may be in any area of computer science. Following the department’s strong recent hires in the interdisciplinary areas of computational neuroscience and persuasive gaming, the university seeks to build computer science’s core program areas, which may include algorithms and data structures, architecture, robotics, databases and information retrieval, human-computer interactions, numerical and symbolic computation, operating systems, programming languages, or software methodology and engineering. Preference will be given to teams or visions that contribute to more than one of the core program areas, and that contribute to the university’s capacity in the area of big data.

The Computer Science Department is currently in a period of expansion, and is poised to become a leader in the university’s technology an innovation sectors. To support this trajectory, the department will soon be moving to a new building that is designed to promote inspiration, collaboration, creation and cultivation.

QUALIFICATIONS

All applicants should have a strong record of (or potential for) externally sponsored research. We are especially eager to recruit candidates with established research partnerships (or the ability to form such partnerships) in the Washington, DC area. Candidates should also have a record of excellence in teaching and mentoring students. Teaching responsibilities will include core courses in computer science and more advanced courses in the applicant’s area of specialty. The Ph.D. in Computer Science or a closely related field is required; post-doctoral or industry experience is preferred.

At least one appointment will be at a senior level with tenure. Preference will be given to senior candidates who are able and willing to lead the department, including (but not limited to) the development of a Ph.D. granting program.

APPLICATION INSTRUCTIONS

Applicants should include a statement (a joint statement for team applications) of research outlining the research focus (or foci) and future plans for developing a nationally competitive, externally funded research program at American University. In addition to a (joint, if applicable) research statement, each applicant should include statements of individual research and teaching experience, a CV, and the names of three references not in the proposed team. Please submit applications via: http://apply.interfolio.com/25813. Review of applications will begin November 3 and continue until the position is filled.

• ERCIM “Alain Bensoussan” Fellowship Programme. Received: 01/09/2014, Deadline: 30/09/2014.

ERCIM offers fellowships for PhD holders from all over the world. The next round is open!

Deadline for applications: 30 September 2014.

Topics cover most disciplines in Computer Science, Information Technology, and Applied Mathematics.
Fellowships are of 12-month duration spent in one ERCIM member institute.

Detailed description of the programme and the application form:
http://fellowship.ercim.eu/

Conditions
Applicants must:
* have obtained a PhD degree during the last 8 years (prior to the application deadline) or be in the last year of the thesis work with an outstanding academic record.
* be fluent in English.
* be discharged or get deferment from military service.
* have completed the PhD before starting the grant (a proof will be requested).
* start the fellowship before 30 April 2015.

• Distinguished Scientist, Visiting Scientist, and Pos-Doc Researcher positions at Institute of Electronics, Chinese Academy of Sciences (China). Received: 01/09/2014.

Distinguished Scientist, Visiting Scientist, and Pos-Doc Researcher at System on Programmable Chip Research Dept, Chinese Academy of Sciences Institute of Electronics (IECAS)

Three visiting positions for overseas scholars are now available in the System on Programmable Chip Research Department of Institute Of Electronics, Chinese Academy of Sciences (CAS), working with Prof Haigang Yang.

The Department was founded in 2004, aiming at promoting research and development of the field programmable microchip technology for high reliability applications. The collaboration areas sought include but are not limited to computationally efficient FPGA architectures, embedded memory design, radiation harden circuits and systems, mixed signal IC design, FPGA software tools, etc. The visiting positions are fully funded by the CAS President's International Fellowship Initiative.

The Chinese Academy of Sciences (CAS) offers a package of international fellowships, collectively called the “CAS President’s International Fellowship Initiative (PIFI)”, to support highly-qualified international scientists and postgraduate students to work and study at CAS institutions and strengthen their scientific collaboration with CAS researchers. The PIFI program is available for four categories of international researchers and students: distinguished scientists, visiting scientists, postdoctoral researchers and international PhD students.

Position 1: PIFI Distinguished Scientist

The Fellowship supports leading international scientists to conduct a lecture tour at the premises of our institute for 1-2 weeks and interact with our researchers and postgraduate students. He or she is also expected to host CAS postdoctoral researchers at CAS expenses at his or her lab for a research stay of 1-3 months.

Requirements:

- Candidates should be well established and internationally recognized scientists in their respective research fields, having obtained outstanding scientific accomplishment and prestigious international honors, awards or prizes.

- Be citizens of a country that has a diplomatic relation with China.

Position 2: PIFI Visiting Scientist

The candidate will be expected to carry out cooperative research projects at the premises of our institute for 1-12 months.

Requirements:

- Candidates should hold a professorship, associate professorship, assistant professorship or equivalent position with 5 year plus work experience in a well-known university/research institution/industrial R&D centre.

- Have strong relevant research background.

- Be citizens of a country that has a diplomatic relation with China.

Position 3: PIFI Post-Doctorial Researcher

The candidate will be responsible for driving research efforts on one of the research subjects described above.

Requirements:

- PhD degree in Electronic/Electrical Engineering, Computer Science/Engineering or related field. Preference is given to candidates with knowledge in reconfigurable logic, Field Programmable Gate Array (FPGA), Electronic Design Automation (EDA) technology.

- Be citizens of a country that has a diplomatic relation with China.

Interested applicants should, in the first instance, send a cover letter and an up-to-date Curriculum Vitae or Resume, providing details of your relevant experience, to Prof Haigang Yang at --LOGIN--8247212bf99442c7c994a86e50c6667email[dot]ie[dot]ac[dot]cn . Applications will be accepted until positions are filled, but priority will be given to those received before 8 Sept., 2014.

• Research assistant position in multi-modal interface design and data analysis, machine learning, signal processing and brain-machine interfaces at CITEC, Bielefeld University (Germany). Received: 29/08/2014.

The Neuroinformatics Group and the Neurocognition and Action Group at the Center of Excellence “Cognitive Interaction Technology” (CITEC, Bielefeld University, Germany) invite applications for an open research assistant position (PhD student or PostDoc, 100% E 13 TV-L) in an interdisciplinary project in the area of EEG, eye tracking, and brain–machine interfaces. We are seeking an outstanding candidate who is interested in multi-modal interface design and data analysis, machine learning, signal processing and brain-machine interfaces.

We are particularly interested in applicants with background and training in computer science, electrical engineering or related fields. Successful candidates must hold a MSc degree (or equivalent) in computer science or a related field. Applicants are expected to have experience with signal processing and machine learning techniques on (neuro)physiological data as well as very good programming skills (C++, MATLAB, Python). Experience with experimental work (EEG and/or eye tracking studies) is desired, but not obligatory. We expect a high motivation to work in an interdisciplinary team, the ability to work independently, strong interpersonal skills as well as a good command of English. Knowledge of German is not essential. The position is initially funded for one year and can be extended for two more years. The payment is based on E 13 TV-L. The successful candidate is expected to start work on 01 November 2014.

The position is embedded in the Neuroinformatics Group within CITEC at Bielefeld University. It involves a close collaboration with the Neurocognition and Action Group. CITEC provides a unique environment to perform cutting-edge research in an international context. Applicants will receive structured supervision and support through the collaboration with the project partners at CITEC, in particular Prof. Dr. Helge Ritter (Neuroinformatics Group) and Prof. Dr. Thomas Schack (Neurocognition and Action Group).

Applications should be sent electronically (in one pdf document) to Dipl.-Inform. Andrea Finke (--LOGIN--3c090146b67b73589d3dd38cab8afe3dtechfak[dot]uni-bielefeld[dot]de ) and must include a cover letter, curriculum vitae and a motivation letter.
Review of applications will begin on September 15, 2014 and will continue until the position is filled.

Inquiries about the position may be directed to Dipl.-Inform. Andrea Finke.

Bielefeld University has received a number of awards for its achievements in the provision of equal opportunity and has been recognized as a family friendly university. Applications from suitably qualified handicapped and severely handicapped persons are expressly encouraged. Bielefeld University encourages applications from women. All applications are handled according to the provisions of the state equal opportunity statutes.

• Postdoctoral Research Fellow in Computational Neuroscience at the University of Leeds (UK). Received: 21/08/2014, Closing date: 07/09/2014.

Applications are invited for a Postdoctoral Research Fellow position for modelling the neural control of behaviour in the Cohen group at the University of Leeds, UK. This appointment is available immediately, for a period of two years in the first instance. The post is part of a larger multidisciplinary funded project to study sensory motor control in a relatively simple animal (the nematode worm C. elegans). You will join a dynamic research group based across the School of Computing and an experimental C. elegans lab based in the Faculty of Biological Sciences. Projects will involve creating biologically detailed and data-driven models of neuronal circuits and integrated neuromechanical control in order to study the dynamics of locomotion and adaptive sensory motor behaviours in C. elegans. Scope exists for working closely with experimentalists within the team, for scientific collaborations with other C. elegans labs, and/or for combining experiment and theory within the scope of the project. Topics include the biomechanics and neural control of undulations, the control of steering and turning, and adaptive sensory-motor control. Scope also exists for collaborating closely or contributing directly to biorobotic designs, simulations and physical implementations. More details about our research can be found on http://www.comp.leeds.ac.uk/celegans/ and in our publications.

We are looking for candidates with a PhD in physics, engineering, computer science, mathematics or a related discipline. You should have strong analytical and/or computational and numerical skills, and an excellent track record of publications. A background in computational neuroscience, quantitative models of biological systems, and/or in C. elegans neurobiology is a plus. Excellent communication skills, both oral and written, are essential. International applications are welcome. Prior experience in working on C. elegans is not required.

Please see https://jobs.leeds.ac.uk/vacancy.aspx?ref=ENGCP0052 for the full advert and applications instuctions. Note the reference number ENGCP0052.

Informal enquires to Netta Cohen (email --LOGIN--c545ba8c1117afc9b268920c5ffdbe2dleeds[dot]ac[dot]uk ).

Closing Date: 7 September 2014.

Selected relevant publications:

Nematode locomotion: dissecting the neuronal-environmental loop, Cohen, N. and Sanders T., Current Opinion in Neurobiology 25 (Apr) 99-106, doi: 10.1016/j.conb.2013.12.003 (2014).

Gait modulation in C. elegans: an integrated neuromechanical model, Boyle, J. H., Berri, S. and Cohen, N., Frontiers in Computational Neuroscience 6 (10) doi: 10.3389/fncom.2012.00010 (2012).

Swimming at low Reynolds number: a beginner's guide to undulatory locomotion, Cohen, N. and Boyle, J. H. Contemporary Physics 51, 103-123 (2010).

Forward locomotion of the nematode C. elegans is achieved through modulation of a single gait, Berri, S., Boyle, J.H., Tassieri, M, Hope, I.A. and Cohen, N., HFSP Journal 3, 186-193 (2009).

• PostDoc/Researcher position in Reconfigurable architectures, HLS, Algorithms or Compilers at Nanyang Technological University (Singapore). Received: 15/08/2014.

The research group of Prof. Douglas Maskell (Nanyang Technological University, Singapore) is looking for a researcher in the Reconfigurable architectures, HLS, Algorithms or Compilers area:

The project (which is initially for 1 year) will involve tool development for automated mapping of HLS to an FPGA based overlay architecture.

Description:

1. Identifying research topics with high relevance & impact to reconfigurable computing

2. Developing and managing R&D projects

3. Undertake research in HLS for reconfigurable systems

4. Liaising with project stakeholders, including funding agencies, industrial partners and academic staff in universities and institutes (locally and internationally)

5. Report writing and presentation, including preparation of technical publications

Profile for candidates:

1. A Ph.D. in Computer Science, Computer Engineering or related field (preferably having experience in HLS algorithm development). Note: A PhD candidate who has submitted a dissertation for examination will be considered for the RA position and if appointed will be upgraded to the RF position upon conferment of the PhD degree.

2. Ability to develop and manage R&D projects.

3. Good command of English, both oral and written with ability to communicate effectively with a wide range of individual and professional groups.

Application:

If you are interested, please address your motivation letter (with a brief description of yourself, research ability & interest) and CV to: Doug.Maskell (--LOGIN--9db7ec8aeed55d5b448c830b0262ea35ntu[dot]edu[dot]sg )

• Three open PhD psoitions in Neuroinformatics at the Institute of Cognitive Science, University of Osnabrück (Germany). Received: 13/08/2014, Deadline: 08/09/2014.

The Neuroinformatics Research Group (Prof. Dr. Gordon Pipa) of the Institute of Cognitive Science invites applications for 3 Research Assistants (PhD student level), (Salary level E 13 TV-L 50%) to be filled as soon as possible for a period of three years. The position allows for further scientific qualification.

We invite applicants that are interested in research in Neuroinformatics, with an emphasis on dynamical systems, machine learning, virtual reality, computational linguistics and electrophysiology. Candidates will participate in a highly international PhD program on cognitive science (with >40 currently enrolled students) and interdisciplinary research projects that can involve cooperation with other disciplines of our institute. Candidates should be highly motivated to understand the structure of neuronal coding and neuronal representations. To study this, we involve different research strategies that range from the development of highly sophisticated data analysis strategies, to modelling of neuronal processes on the level of recurrent networks.

The qualification profile of the candidates can range from a purely mathematical neuroscientist, a dynamical systems researcher to interdisciplinary candidates that share interest in performing experiments with the virtual reality combined with EEG and sophisticated machine learning-based analysis of recorded activity (at http://ikw.uni-osnabrueck.de/en/ni/publications you find an overview of recent research topics).

Description of Responsibilities: The successful candidate will be involved in several research projects that range from BSc to MSc projects. The position also involves teaching Cognitive Science courses at BSc and MSc level (2 hours/week).

Required Qualifications: Candidates are expected to have an excellent academic degree (Master/diploma). Applicants should have an excellent knowledge in the field of machine learning, i.e. generalized linear and state space models, kernel methods, reservoir computing and deep learning. Experience or a strong interest in the fields of complex systems, computational neurosciences, dynamical systems theory and the concepts to study these, i.e. bifurcation and stability analysis, and delay- coupled differential equations, measurements of complexity, are encouraged. Experience or a strong interest in experimental methods such as EEG, and virtual reality are highly welcome. In addition, a strong interest or experience in the estimation of causal interactions from time series is welcome.

As a certified family-friendly institution, Osnabrück University is committed to furthering the compatibility between work/studies and family life. As an employer, Osnabrück University is particularly concerned with creating equal opportunities for women and men. Women with relevant qualifications are therefore strongly encouraged to apply for the position. Preference will be given to women with equal qualifications. Furthermore, qualified applicants with disabilities will be favored.

Applications with the usual documentation, including two letters of recommendation, should be submitted by e-mail in a single PDF file to the Director of the Institute of Cognitive Science (--LOGIN--9512a82c8931a6ad5c6be836eb537476ikw[dot]uni-osnabrueck[dot]de ) no later than 08.09.2014. An electronic copy should be sent to Prof. Dr. Gordon Pipa (--LOGIN--659cf22d0d5510e35aeed3b6ce6cabecuni-osnabrueck[dot]de ) who can also be contacted for further information.

• PhD student position in Computational Neuroscience at the Central Institute of Mental Health, Mannheim (Germany). Received: 12/08/2014.

The Department of Theoretical Neuroscience (Head: Prof. Daniel Durstewitz) at the Central Institute of Mental Health (Mannheim) invites applications for a

PhD student position (E 13 TV-L)

(50% of the fulltime weekly hours) in the newly founded research group Data-driven network models of higher cognitive functions (Head: Dr. Joachim Hass) to be filled as soon as possible. The position is initially limited for 3 years.

The research group develops biologically realistic computational neural network models of the neocortical structures such as the prefrontal cortex and the motor cortex. These models closely adhere to physiological data from both in vitro and in vivo experiments and are used to study higher cognitive functions such as time perception and working memory.

The successful candidate will work in the project “The human mirror neuron system - measurement and beyond” funded by the Heidelberg Academy for Sciences and Humanities. The joint project of the Departments of Theoretical Neuroscience and Clinical Psychology of the Central Institute of Mental Health aims at a deeper understanding of the mirror neuron system in humans, which is thought to play a crucial role in social cognition by representing the emotions and intentions of others in the motor cortex. The project combines multimodal measurements (involving fMRI, EEG, transcranial magnetic stimulation and genotyping) with computational modeling.

The Central Institute of Mental Health is an internationally renowned research institute for psychiatry and neuroscience as well as a clinic for psychiatry, psychotherapy and psychosomatics (part of the medical faculty of the University of Heidelberg). The research group closely interacts with neurobiologists and psychologists at the institute. The Department of Theoretical Neuroscience is focused on computational modeling and statistical data analysis of prefrontal cortex and hippocampus functions. It is one of the core research units of the Bernstein Center for Computational Neuroscience (BCCN) Heidelberg-Mannheim. Access to high-performance computing facilities is provided.

Tasks: The project involves the development of a rate-based, brain-scale model as well as the further development of an existing spiking network model of the motor cortex. The resulting twostage model is then being adapted to the multimodal experimental data using stochastic optimization techniques. In particular, the effects of the transcranial magnetic stimulation and different levels of dopamine and oxytocin are to be implemented in the model and directly compared with the experimental data. Participation in the project organization and publication writing is also expected. It is also possible to participate in the analysis of the fMRI data.

Requirements: The candidate should have a university degree (master or equivalent) in physics, mathematics, computer science, computational neuroscience or similar, a strong interest in neurobiological research and very good programming skills (ideally in MATLAB and C). Good communication skills in English as well as knowledge in nonlinear dynamics, numerical optimization or neural modeling are also required. Knowledge in neuroscience or experimental psychology is beneficial.

Applicants should sent their application documents (cover letter including a brief description of personal qualifications and future research interests, CV and contact details of two personal references) to --LOGIN--04431277fdc5ff8e0c723efbf5c248cfzi-mannheim[dot]de . Questions and informal discussions about the position are also welcome under this email address. The call is open until the position is filled.

• Open PhD position in Electrophysiology at the University of Bremen (Germany). Received: 02/08/2014, Deadline: 01/09/2014.

Application deadline: 1st of September 2014

Starting date: as soon as possible

Visual information processing is highly flexible and rapidly adapted to the current behavioural task. In this project, you have the unique opportunity to investigate the neural mechanisms of selective information processing in multiple visual areas with massively parallel multielectrode recordings. You will be embedded into an interdisciplinary and international research group within the Bernstein National Network for Computational Neuroscience which unites computational approaches with experimental work on human subjects and primates. Our team is also part of a major neuroscientific and neurotechnological research focus at Bremen University, comprising the Center for Cognitive Sciences (ZKW) and the Creative Unit 'I-See', conducting research on the development of an artificial eye.

Your task will be to conduct experiments on awake behaving macaque monkeys in collaboration with the group of Prof. Dr. Andreas Kreiter (http://www.brain.uni-bremen.de) and analyze the collected data. This includes familiarization with, and training of the animals, preparation of the experimental setup and recordings, implantation of the electrode arrays, and recording of the data under different visual perception tasks. You should be familiar with standard methods of data analysis, and have a degree (master/diploma or equivalent) in natural sciences (e.g. Biology) with focus on experimental work (preferably Animal Physiology). Basic programming skills and interest in concepts from Computational Neuroscience are required. We expect high motivation for communicating and collaborating with the other members in the group.

The position is to be filled as soon as possible (i.e., on a first-come, first-served basis). Please send your application in German or English language, including your letter of motivation, CV, copies of school and university certificates (master/diploma or equivalent) by e-mail to Udo Ernst (--LOGIN--1674cf4e529079368c37c8562527ac19neuro[dot]uni-bremen[dot]de ) or by postal mail to the address below:

Dr. Udo Ernst
Hochschulring 18 / Cognium
Universität Bremen
28359 Bremen, Germany

• Post-doctoral research position investigating brain connectivity at the Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig (Germany). Received: 30/07/2014, Deadline: 15/09/2014.

We are currently inviting applications for a postdoctoral research position in the Max Planck Research Group for Neuroanatomy & Connectivity. Our research investigates the organization of connectivity in the human cerebral cortex using MRI. The research projects will address the topological structure of cortical connectivity patterns and their relationship to underlying cortical morphology. Specific topics may range from graph theoretical approaches and describing network structure to cortical developmental modeling and addressing data visualization challenges. The duration of the position is flexible, beginning with an initial period of two years.

Candidates should have a PhD (or equivalent) in neuroscience, computer science, or a related discipline, with a strong background in data analysis and programming. Previous experience in neuroscience and working with brain imaging data is an advantage, but not a requirement. Applicants should nonetheless have an outstanding scientific track record with clear evidence of leadership and scholarly output in the form of publications and other achievements. The position is primarily devoted to research, with no formal teaching requirements, but ample opportunity to mentor graduate students.

The Max Planck Institute for Human Cognitive and Brain Sciences offers a collaborative, international research environment with English being the language spoken in the lab. The Institute has a state-of-the-art research infrastructure, including several 3T scanners and one 7T MRI scanner, TMS/tDCS, EEG, MEG, etc, and substantial computing resources.

Applicants are requested to provide a cover letter describing their qualifications and research interests, a curriculum vitae, and the contact information of at least two personal references. This should be sent as a single PDF file to --LOGIN--74a2597d86d98a916e71f4b8486cbcedcbs[dot]mpg[dot]de with the subject heading “PD NC 14”. Please submit applications by September 15th, 2014.

Starting date for the position is flexible, but ideally in the autumn of 2014. Salary is dependent on experience and based on standard post-doctoral MPI stipends.

The Max Planck Society is an equal opportunity employer, and international applicants are encouraged to apply.

Contact for questions:

Dr. Daniel Margulies
e-mail: --LOGIN--d8273eefd97adc53a4bf3a399e126996cbs[dot]mpg[dot]de
Lab website: http://www.cbs.mpg.de/groups/misc/nac

• 2 PhD positions in Cognitive Robotics Modelling and Human-Robot Interaction Psychology Experiments at Plymouth University (UK). Received: 19/07/2014, Closing date: 29/08/2014.

Project Description

This research is part of the new project “THRIVE: Trust in Human-Robot Interaction Via Embodiment.” This project aims at the investigation of embodiment and socio-cognitive mechanisms in the development of trust between humans and robots engaged in joint tasks. The work will be based on the strategic coupling of developmental robotics modelling and of empirical human-robot interaction experiments. These will investigate the robot’s embodiment properties (e.g. voice, gaze, emotional, humanoid appearance) and socio-cognitive mechanisms (e.g. joint attention, joint action, group assimilation) in establishing trust. This is a 4-year project, funded by the European Office of Aerospace Research and Development.

The robotics PhD student will be responsible for the design and implementation of motor and social strategies in robot platforms (e.g. iCub, Nao, Scitos G5), using a cognitive and developmental robotics approach.

The psychology PhD student will be responsible for the design, execution and data analysis of psychology experiments on trust in human-robot interaction experiments.

The two post holder will collaborate closely for joint robotics and hri experiments.

Eligibility for Cognitive Robotics PhD

Applicants should have, or expect to obtain, a high grade Bachelors or Masters Degree in Computer Science, Robotics, Electronics or related disciplines. The candidate must have excellent programming skills and a strong motivation for research. Previous experience on robotics or human-robot interaction is desirable.

Eligibility for Psychology PhD

Applicants should have, or expect to obtain, a high grade Bachelors or Masters Degree in Psychology or related disciplines. The candidate must have good knowledge of experimental psychology research methods and a strong motivation for research. Previous experience on human-robot interaction is desirable.

The post holder will collaborate closely with a second PhD student responsible for the design of psychology experiments on human-robot interaction. This second position, for a Psychology/HRI student, is also open.

Funding

The studentship will have a 4-year duration and consists of an annual bursary of approximately £13,863 per annum. The tuition fees will be paid directly by the project. There will be a 6-month probation period. The start date is 1 January 2015.

For further information on the project or for an informal discussion, please contact Professor Angelo Cangelosi at --LOGIN--bd01f7df4a6478099095f6400fd543fbplymouth[dot]ac[dot]uk . Details about Plymouth University can be found at www.plymouth.ac.uk.

For an application form and full details on how to apply, please visit www.plymouth.ac.uk/postgraduate. Applicants should send a completed application form with copies of their qualifications and transcripts, two academic references, English Language qualification (if appropriate), a covering letter and a CV to Mrs Carole Watson, Graduate School, 3rd Floor Link Building, Plymouth University, Drake Circus, Plymouth, PL4 8AA or via email to --LOGIN--12e96a9f0cd0a14332177c74ff6aa2ccplymouth[dot]ac[dot]uk .

Closing date for applications: 12 noon, 29 August 2014

Interviews will be held on 26 September 2014

• 18 PhD positions available in Data Science at Eindhoven University of Technology (Netherlands). Received: 11/07/2014.

18 PHD POSITIONS ON DATA SCIENCE IN A JOINT RESEARCH PROJECT BETWEEN THE DATA SCIENCE CENTER EINDHOVEN AND PHILIPS RESEARCH EINDHOVEN

Project Context

Eindhoven University of Technology (TU/e) is an internationally renowned technical university located in the vibrant technological heart of the Netherlands with high tech companies such as Philips, ASML, NXP and DAF Trucks. The TU/e has an excellent reputation in collaboration with industry proven among other things by the fact that it is the number one university in the world with respect to joint scientific publications with industrial partners.

The Data Science Center Eindhoven (DSC/e, http://www.tue.nl/dsce/) is the response of the TU/e to the growing volume and importance of data. Through the DSC/e, the TU/e unites its strong research groups in areas related to data science: computer science, mathematics, electrical engineering, industrial engineering, innovation sciences, and industrial design. Research at the DSC/e is multidisciplinary, reflecting the fact that data science research requires a broad range of expertise and skills.

The DSC/e has recently started a long-term strategic cooperation with Philips Research Eindhoven on three topics: data science, health and lighting. As a first concrete action, 70 PhD students are being hired for these three topics using joint funding from the TU/e and Philips, of which 18 PhD students will work on the data science topic. These students will together with researchers from the TU/e and Philips form a strong research community working together on scientific and industrial challenges.

PROJECT THEMES

The entire project is divided into 5 themes. Within each theme there is a specific application focus that will be addressed through intensive collaboration from several disciplines. For each individual PhD project we briefly mention the TU/e supervisors and their departments (M&CS = Mathematics and Computer Science, EE = Electrical Engineering, IE&IS = Industrial Engineering and Innovation Sciences). PhD students will have their home base at the department of the first mentioned professor.

DATA DRIVEN VALUE PROPOSITION Digital components are being added to Philips lifestyle products. The data from these products as well as from Philips touch points must be combined to optimize user experience and maintain customer satisfaction. This will be delivered through personalized e-coaching and guidance apps. We are looking for students with expertise in one or more of the following fields: data mining, machine learning, process analytics, predictive analytics, and psychology. This theme has openings for 4 PhD students:

1. User-centric Consumer Data Analytics: User Behaviour Modelling (supervisors: Professors De Bra (M&CS) and Petković (M&CS))

2. User-centric Consumer Data Analytics: User Guidance Principles Modelling (supervisors: Professors IJsselsteijn (IE&IS) and De Bra (M&CS))

3. Product-centric Consumer Data Analytics: Product Usage Lifecycle Analysis (supervisors: Professors Van der Aalst (M&CS) and Snijders (IE&IS))

4. Product-centric Consumer Data Analytics: Text Mining for Consumer Insight Analytics (supervisors: Professors Snijders (IE&IS) and De Bra (IE&IS))

HEALTHCARE SMART MAINTENANCE Philips has strong leadership positions in healthcare imaging and patient monitoring systems. In the healthcare domain, reducing equipment downtime and cost of ownership for hospitals is of vital importance. Smart maintenance exploits that professional equipment is connected to the internet and aims to use event and sensor data for overall cost reduction. We are looking for students with expertise in one or more of the following fields: operations research, maintenance, process mining, data mining, machine learning, process analytics and predictive analytics. This theme has openings for 3 PhD students:

1. Transforming Event Data into Predictive Models (Professors Van der Aalst (M&CS) and Van Houtum (IE&IS))

2. Turning Outcomes of Predictive Models into Better Maintenance Decisions (Professors Boxma (M&CS) and Van Houtum (IE&IS))

3. Maintenance Concepts for Healthcare Systems (Professors Van Houtum (IE&IS) and Van Leeuwaarden (M&CS))

OPTIMIZING HEALTHCARE WORKFLOWS The delivery of patient care in hospital is a complex workflow based on fixed protocols. Optimization of patient are at reduced cost requires the orchestration of multiple clinical workflows. Timely getting the imaging/lab tests done and getting the results back to physicians can help quickly diagnose/treat the patient, and save lives. The rapid digitization of diagnostics in radiology and pathology calls for a data-driven optimization of the workflows. We are looking for students with expertise in one or more of the following fields: visualisation, data mining, machine learning, process analytics and predictive analytics. This theme has openings for 4 PhD students:

1. Predictive Analytics for Healthcare Workflows (Professors Van der Aalst (M&CS) and Van Wijk (M&CS))

2. Visual Analytics for Healthcare Workflows (Professors Van Wijk (M&CS) and Van der Aalst (M&CS))

3. Radiology Workflow Optimization and Orchestration (Professors Van der Aalst (M&CS) and Van Wijk (M&CS))

4. Modelling and Optimization of Pathology Workflows and Flexible Semantic Orchestration (Professors Van Wijk (M&CS) and Van der Aalst (M&CS))

CONTINUOUS PERSONAL HEALTH Philips wishes to develop a cost-effective system for empowering people to self-manage their health. An important enabler is the wearable sensor technology developed by Philips because that provides unobtrusive monitoring of behaviour and habits. We are looking for students with expertise in one or more of the following fields: signal processing, statistics, data mining, machine learning, and psychology. This theme has openings for 5 PhD students:

1. Effective Self-Management by E-Coaching (Professors IJsselsteijn (IE&IS) and De Bra (M&CS))

2. Unobtrusive Health and Behaviour Monitoring (Professors Van der Hofstad (M&CS) and Aarts (EE))

3. Cardiac Arrhythmia and Self-Management (Professors Aarts (EE) & Van der Hofstad (M&CS))

4. Blood Pressure Monitoring and Lifestyle Interventions (Professors Korsten (EE) and IJsselsteijn (IE&IS))

5. Early Stratification of Cardio-vascular Health Risks (Professors Korsten (EE) & Kaymak (IE&IS))

DATA ANALYTICS FOR LIGHTING Data gathered from large hardware systems offers new exciting service propositions. Philips has a unique position with the ability to extend the hardware to collect data or to respond to the outcome of predictive filters. In the field of building management and connected lighting infrastructures, this includes the ability to launch service businesses, to optimally predict cost-benefits in service offerings, to provide adaptive configuration, and to support network maintenance. We are looking for students with a background in one or more of the following fields: distributed systems, real-time systems, resource management data mining, and machine learning. This theme has openings for 2 PhD students:

1. Data Analytics for Infrastructures of Connected Lighting (Professors Lukkien (M&CS) and Linnartz (EE))

2. Data Analytics for Building Management Services (Professors Linnartz (EE) and Lukkien (M&CS))

JOB QUALIFICATIONS

Candidates should:

· have an MSc in Mathematics, Statistics, Computer Science, Psychology, Electrical Engineering or a related discipline

· have a strong interest in data science research

· be highly motivated, be rigorous and disciplined when developing algorithms and software according to high quality standards

· be a fast learner, autonomous and creative, show dedication and be hard working

· possess good communication capabilities and be an efficient team worker

· be fluent in English, both spoken and written

PhD students are expected to:

· perform scientific research in the domain described

· collaborate with other researchers in this project

· present results at (international) conferences

· publish results in scientific journals

· participate in activities of the group and department, at both sites

· assist in teaching undergraduate/graduate courses

· participate in EIT doctoral training on entrepreneurship and related topics

· be willing to work at two locations (TU/e campus and Philips High Tech Campus)

APPOINTMENT AND SALARY

PhD students will be officially appointed at the department of the first mentioned professor, who will act as prime PhD supervisor.

We offer:

· a full-time temporary appointment for a period of 4 years, with an intermediate evaluation after 9 months

· a gross salary of € 2,083 per month in the first year increasing up to € 2,664 per month in the fourth year

· a holiday allowance of 8% and an end-of-year bonus of 8.3% (annually)

· assistance in finding accommodation (for foreign employees)

· the opportunity to perform research in a large-scale joint project from a leading technical university and a leading high-tech company

· support for your personal development and career planning including participation in the EIT doctoral training, courses, summer schools, conference visits, research visits to other institutes (both academic and industrial), etc.

· a broad package of fringe benefits (including excellent technical infrastructure, child day care, savings schemes and excellent sport facilities).

SELECTION PROCEDURE

Candidates must apply using the web form on

http://jobs.tue.nl/en/job/18-phd-positions-on-data-science-joint-project-data-science-center-philips-190316.html

providing a detailed CV and a motivation letter that indicates one or more of the PhD projects that the candidate wishes to apply for.
Selection will be on-going in the period July 1, 2014 - November 1, 2014. This means that suitable candidates will be interviewed and if deemed fit, be hired immediately without waiting for applications of other candidates.

INFORMATION:

· For more information about the project, please contact Dr. A. Di Bucchianico, email: --LOGIN--18d7b0f0e2c32d6f015b29019069d477tue[dot]nl and telephone: +31 40 247 2902 or Mr. R.J. Begeer, email: --LOGIN--abfa7fb126d29e52658811efa5655f0bphilips[dot]com , telephone: +31 40 274 0388

· For information about employment conditions please contact Mrs. C.M. van Dam, HR advisor TU/e, email: --LOGIN--eee8052c5e0d66edad8f8b6c67392632tue[dot]nl , telephone +31 40 247 2735, or Mr. C.M. Kuiters, HR advisor TU/e, email: --LOGIN--eee8052c5e0d66edad8f8b6c67392632tue[dot]nl , telephone +31 40 247 2321

• Open position for Professor of Neurosciences at the Albert Einstein Institute for Research and Education, São Paulo (Brazil). Received: 07/07/2014, Closing date: 31/07/2014.

A full time endowed position for “Professor of Neurosciences” is available at the Brain Institute at the Albert Einstein Institute for Research and Education (InCe – IIEPAE), São Paulo, Brazil. We seek an outstanding senior researcher as a professor of the Institute.

Job description

The main goals include the development of research in neuroscience involving ageing processes in the brain and methods to promote healthy ageing. Additional focus includes study of neurodegenerative diseases.
The position requires a record of scientific excellence and management experience, as well as vision and motivation to lead and shape a team of researchers. The candidate is expected to lead a strong, internationally competitive research programme, attract external funding and promote an interactive and synergistic research environment in order to develop clinical neuroscience into a center of excellence in biological aspects of ageing. Good communication skills are required to interact with a multidisciplinary team of experienced neurologists, neurosurgeons, scientists, engineers, physicists and psychologists.

Required skills/Qualifications

· Senior researcher with PhD
· Experience working as a leading researcher
· A strong track record of publications, ideally h-index > 20

Desired skills/Qualifications

· MD title
· Portuguese speaking

Salary

Salary is provided by a donation (equivalent to a top salary for a physician in Brazil USD120,000.00 – 180,000.00 per year). The position is renewable. The appointment is for months at first.

About Hospital Israelita Albert Einstein

Hospital Israelita Albert Einstein ranks number one in Latin America, was the first hospital outside of USA accredited by the Joint Commission International and possesses a number of ISO certifications. The Brain Institute-IIEPAE has a state-of-the art whole body 3T MR system equipped with 32 channel head coil with protected time for research, integrated with a 64 channel EEG-fMRI system. The facilities also include an fMRI eye-tracking system, TMS and in house stimulus delivery systems for advanced applications. Radiopharmacy laboratories for basic research and clinical application, an experimental core facility with a cell culture laboratory and genome sequencing and an AAALAC certified experimental facility are also available. The institution also holds a postgraduate programme in health sciences, recognized by the Brazilian Federal Agency for Support and Evaluation of Graduate Education (CAPES), giving the opportunity to supervise postdoc, PhD and master students.

Apply for position:

The position is open until 31st of July. The top 20 CV will be selected and evaluated by a committee.

Please e-mail CV, NIH Biosketch, statement of research interests and contact information of references to: --LOGIN--92d788325396a3f65ade8604387ea9fceinstein[dot]br with “Professor of Neurosciences” in the subject line

Brain Institute - Albert Einstein Jewish Institute for Education and Research
Hospital Israelita Albert Einstein – www.einstein.br

• PhD Student positions at IMDEA Networks Institute, Madrid (Spain). Received: 07/07/2014, Deadline: 10/07/2014.

IMDEA Networks Institute is a networking research institute whose multinational team is engaged in cutting-edge fundamental science. As a growing, English-speaking institute located in Madrid, Spain, IMDEA Networks offers a unique opportunity for pioneering scientists to develop their ideas. IMDEA Networks is establishing itself internationally at the forefront in the development of future network technologies and has already incorporated highly-reputed scientists (see our research team here). Our researchers share the potential to shape the future of networking science over the coming years.

Further information regarding our areas of research can be found here.

We bring together a large number of scientists performing research in fields very closely related to computer networks, to an extent that is unique in Europe. At the Institute, and teamed up with University Carlos III of Madrid (UC3M), researchers understand each other, are driven by common interests and are therefore able to collaborate in depth on leading-edge technical challenges.

Our PhD Student positions offer young, aspiring researchers a salaried position in our research team. Candidates offered a position as IMDEA Networks PhD Students will have been pre-vetted and conditionally accepted for a place on the Ph.D. program at UC3M or another top university in Madrid (1), subject to your satisfactory completion of the corresponding Ph.D. application form (2).

(1) Please be aware that IMDEA Networks does not issue degrees and that, in most cases, as a UC3M PhD candidate you will be required to complete at least one year of masters courses, even if you already hold a masters degree. (Other universities may apply different criteria.)

(2) Please note: you are not required to complete the PhD application form until you receive an offer letter from IMDEA Networks.

Graduates applying for this position should have the following attributes

· B.Sc., M.Sc. or equivalent in Computer Science, Electrical Engineering, Computer Engineering, Telecommunications, Telematics or a related field (concluded by the time you join) (3)
· Excellent academic transcripts
· Clearly defined Statement of Purpose for Ph.D. research thesis
· Excellent level of spoken and written English (please note: Spanish is not required)
· Highly motivated

(3) An offer of a PhD Student position implies your acceptance to the corresponding Ph.D. program.

Successful candidates will enjoy the following benefits

· Freedom to focus on your research work, with full administrative support. No teaching duties
· Collaboration with leading experts on international research projects
· Supervision throughout your Ph.D. by one of our world-renowned and award-winning researchers (see Research team).
· Use of state-of-the-art resources and facilities
· Collaborative, multi-cultural and English-speaking environment
· Participation at international conferences and project meetings
· Assistance with all aspects of immigration and relocation (including support with your VISA application)
· Support to take innovations to market
· Salaried position for up to 5 years (4)
· All Ph.D. program fees paid
· Access to comprehensive healthcare
· Total combined value of financial package of more than 150,000 Euros over five years
· More information about the University Carlos III of Madrid Ph.D program

(4) UC3M Admission levels

We finance PhD Student's Ph.D. studies for between 4 and 5 years. You will be funded for up to 5 years if you are admitted to the 1st year of UC3M Masters Program, and up to 4 years otherwise.

· Yr 1 Masters Program: Funding up to 5 years
· Yr 2 Masters Program: Funding up to 4 years

Please note the information above is specific to UC3M. Other universities may apply different criteria.

Career path

After obtaining their Ph.D., our graduates are expected to find jobs in research organizations (including academia) and industry, for instance, amongst the members of our Former Team. We help our PhD Students in their search for employment after graduation.

Application information

We are in a growing phase and we are continuously looking for new candidates. Our recruitment process is organized around periodic calls for researchers. If you would like more information, please email --LOGIN--2e6e5a21455bf2112f3dc631fde9efaeimdea[dot]org

• Javascript Developer in Malta. Received: 03/07/2014.

A JavaScript Developer at our Client’s:

· Is extremely good at JavaScript and has executed several projects to show it.
· Feels that jQuery is old and heavy (experience from KnockOutJS is a plus)
· Has the API documentation to underscorejs (or Lo­Dash) in the back of her pants.
· Is familiar with Unit Testing in JavaScript.
· Thinks that RequireJS is given for modular and scalable JS code.
· Is a nerd that eats, lives and breathes code and has a true interest that reaches beyond any course or education.
· Got CSS3 and HTML already in the mother’s milk
· Has already forgotten everything about serverside generated HTML.
· Is stoked to build the world’s best gaming site from the company’s headquarters in sunny Malta.

Interested in One of these Opportunities?

To apply send your cv to --LOGIN--413ea978bbe0f0b63b82f4fd9db39f50creativetalentsolutions[dot]com or click here to contact us

• System Developer in Malta. Received: 03/07/2014.

Who is our Client?

Our client is a new online casino gaming company with the aim to create the world’s best player experience. One of their guiding stars is innovation through disruptive technology. They are the world’s first casino adventure and they engage players in a more fun and compelling experience by using game mechanics often found in other types of games such as on Facebook or in your Xbox. The company is backed by external investors and they are now looking for talent that can help them become even better.

What would be your job?

The company is small and quick and they expect you to take on a wide spectra of tasks. Within the company you will work to realize dreams, visions and ideas of how the world’s best gaming site should look and work. They think you’re driven and never say no to a challenge. They would rather have to hold you back than to push you. They are offering the possibility to build something truly great, no legacy code and a great atmosphere in a growing startup.

A System Developer at our Client’s:

· Is native in Java, but speaks and writes perl, bash, SQL, Python, Groovy, Javascript and Scala better than any second or third language in school.
· Has an interest both for the big picture and for the small details, a key to work in our tightly knit team.
· Likes freedom with responsibility and should feel comfortable in an environment of developer anarchy.
· Is a nerd who eats, lives and breathes code and has a true interest that reaches beyond any course or education.
· Gets curious when we say CQRS/Event Sourcing, (D)DEDA and is open to heterogen architecture.
· Is stoked to build the world’s best gaming site from the company’s headquarters in sunny Malta.
· Has experience of transaction heavy systems, messaging and tools such as MySQL, RabbitMQ, Jetty, Git, Cometd in a virtulized environment.

To apply send your cv to --LOGIN--413ea978bbe0f0b63b82f4fd9db39f50creativetalentsolutions[dot]com or click here to contact us

• Data Scientist Career Opportunity in Malta. Received: 03/07/2014.

What is our client looking for?

Our client is a expanding rapidly and as a result they need to ramp up their ranks. They are relentless in the quest to give their customers a good experience and that includes getting offers, rewards at the correct time together with understanding the community, and what makes them tick. They are now searching for razor-sharp data science talent with goals to do the extraordinary. They are looking for a Data Scientist who is an analytical statistics loving number cruncher who is driven and likes to work with technology, statistics, mathematics and business.

This is what you will be doing:

As a Data Scientist you will work across the organization to provide insights and do research on data to help deliver transformative business insights. As a part of a cross-functional team you will work particularly close to the Engineers, Producers and Player team which is responsible for all the Players and their retention. You will work together with smart, passionate people to create the best online casino there is.

You wrangle, organize, aggregate and analyze gazillions and umptillions gigabytes of data to perform critical analysis in order to help understand and drive player behaviour. You will create actionable insights on community to aid and make the right decisions, run predictive and anticipatory research.

Desired Skills and Experience

You are:

· Motivated, driven, loyal and analytical.
· Educated and hold a Ph.D, Bachelor or Master in a highly numerate field such as Computer Science, Statistics, Physics, Applied Mathematics, or similar.
· Able to ask the right questions, and find patterns in large, highly-dimensional data sets.
· In love with numbers and you are very structured and organized.
· Passionate about statistical models, speaks about Linear Regression or Logic Regression over lunch and someone who in a past life was an engineer, which makes you comfortable with at least one programming language and tools needed in combination such as R, Python, MatLab, DBs and command line Linux. You also know that machine learning happens now and not only in the future.
· Keen to learn about the business and aware of what data is needed to understand player behavior and our funnel in order to acquire new and retain existing players.
· Keen about being the first Data Scientist on board, and on setting the framework for how the client can thrive in a data-driven company setting.
· Happy, curious, friendly & want to work in a flat organization with loads of responsibility & freedom.

The Company offers:

Our client is a technology startup formed in 2012, their product is a recognized and award winning online casino. As a concept though it is literally a whole new universe. They are not working with casino, they are working with changing what the common perception of casino is. Through design, technology & innovation they aim to disrupt a young, but in many ways immature, industry by ignoring rules.

· Brand new, cool offices near the marina in sunny Malta, with views over ancient Valletta.
· A small, highly-skilled, energetic and passionate team.
· Fully stocked soda fridges, fruits for everyone and occasional beers.
· The possibility to create something new and to make a real difference
· A fun and relaxed working environment with sofas and game consoles.
· The chance to work together with brilliant people in a tech-oriented start-up.
· A modern and flexible organization where you can grow autonomously.

Interested?

Email us your CV on --LOGIN--413ea978bbe0f0b63b82f4fd9db39f50creativetalentsolutions[dot]com or click here to contact us

• Responsable de Operaciones y Desarrollo para el Centro de Datos Científicos de MAGIC, Barcelona (Spain). Received: 02/07/2014, Deadline: 30/09/2014.

El Port d’Informació Científica (PIC) es un centro innovador de apoyo a la investigación. Usando tecnologías de computación distribuida que incluyen clústers y Grid, ofrece servicios para gestionar grandes cantidades de datos a colaboraciones científicas, cuyos investigadores están repartidos por todo el mundo. El Centro de Proceso de Datos (CPD) del PIC dispone de un clúster de cálculo con más de 5000 nodos Linux y un servicio de almacenamiento masivo jerárquico (en disco y cinta magnética) con capacidad aproximada de 12 PetaBytes.

El PIC alberga el Scientific Data Center (SDC) del proyecto MAGIC, un experimento de astrofísica de rayos gamma que opera en el Observatorio Roque de los Muchachos, en la isla de La Palma (Canarias). Los dos telescopios que allí operan generan alrededor de 150 TB de datos anuales, que se transfieren al PIC desde donde los científicos del proyecto acceden a ellos. Desde el PIC se gestiona la transferencia, almacenaje y acceso a estos datos, así como se ofrece capacidad de computación para procesarlos. Así mismo se ofrecen diferentes servicios de valor añadido para los científicos de la colaboración, incluyendo la base de datos de las observaciones.

Descripción del trabajo:

· Operación y mantenimiento de los servicios del SDC de MAGIC
· Implementación y desarrollo de servicios
· Gestión de las bases de datos del proyecto
· Resolución de incidencias de los usuarios
· Asistencia a las operaciones de computación de los usuarios
· Elaboración de previsiones de crecimiento en capacidad de almacenaje y computación
· Mantenimiento y elaboración de documentación
· Coordinación con responsables de otros centros de computación a nivel internacional

Requisitos:

· Nacionalidad española, o permiso de trabajo español, o nacionalidad de algún país con acuerdo de permisos de trabajo con España
· Ingeniería Superior en Informática o Telecomunicaciones, u otra titulación homologable
· Experiencia en operaciones en el entorno Linux
· Experiencia en desarrollo de aplicaciones con Python
· Experiencia en diseño y administración de bases de datos en PostgreSQL/MySQL
· Experiencia en diseño y desarrollo de aplicaciones web en Python
· Capacidad de utilizar el inglés como lengua de trabajo
· El entorno de trabajo requiere de una persona proactiva, creativa y con iniciativa

Conocimientos que serán valorados:

· Experiencia con gestores de almacenamiento dCache, Lustre, GPFS, Enstore, CASTOR, NFS y/o WebDAV
· Experiencia con sistemas de proceso de datos en paralelo y/o distribuidos

Características del contrato:

La entidad contratante será el Institut de Física d'Altes Energies (IFAE), entidad jurídica que gestiona al PIC. El lugar de trabajo será la sede del PIC, situada en el Campus de la Universidad Autónoma de Barcelona en Bellaterra. La duración será de 1 año (incluido el período de prueba de seis meses), con posibilidad de prórroga. El salario será conmensurado con las cualificaciones y experiencia del solicitante.

Solicitudes:

Toda la documentación se gestionará electrónicamente exclusivamente en formato pdf. Las solicitudes se enviarán hasta el 30-09-2014 por correo electrónico dirigido a --LOGIN--a3fa41925114177a16ac40a335438587pic[dot]es citando el número de referencia, adjuntando un curriculum vitae y cualquier otra documentación relevante. El proceso de selección será continuo hasta cubrir la plaza o finalice el plazo de entrega.

Número de referencia: PIC-2014-MAGIC-1

Contacto para información adicional:
Mari Carmen Porto
--LOGIN--2bcc788592aeffc93c6ba2468df98534pic[dot]es
Port d’Informació Científica
Campus UAB. Edifici D
08193 Bellaterra (Barcelona)
Tel. +34 935814109
Fax. +34 935814110

• Postdoctoral position in Systems Neuroscience at the University of California, San Diego (USA). Received: 01/07/2014.

The BioCircuits Institute (BCI) and Departments of Physics, Chemistry / Biochemistry, Bioengineering, and Psychology and Neurobiology at the University of California, San Diego invite applications for a postdoctoral position in systems neuroscience, for experiments leading to the neuromorphic engineering of cognitive abilities.

The ideal candidate will have experience with in vivo electrophysiology, in awake behaving animals, and desire to apply biologically inspired algorithms to VLSI circuits and systems. Close interaction with other project researchers in computational and theoretical neuroscience, nonlinear dynamical systems, and neuromorphic engineering is involved.

We will accept applications immediately and will begin making selections on 1 September 2014, until the position is filled.

Appointments are for two years (in one-year increments) with the possibility of a third.

Send your statement of qualifications and interest with curriculum vitae, your two most significant publications and three letters of reference to Tim Gentner, Henry Abarbanel, Gert Cauwenberghs, Katja Lindenberg, Mikhail Rabinovich, and Terrence Sejnowski via email to: <--LOGIN--d4e6e5afc8dc0e41e26a1fe882040a1bgmail[dot]com >.

A Ph.D. or equivalent doctoral degree is required prior to the appointment.

UCSD is an EO/AA employer.

• PhD position on “Learning compositional visual representation of 3D shapes in vergent geometry” at University of Genoa (Italy). Received: 01/07/2014, Deadline: 30/08/2014.

Applications are invited for one full-time PhD studentship (with scholarship) for a period of 3 years, starting Nov 2014, at “The Physical Structure of Perception and Computation” lab of the Department of Informatics, Bioengineering, Robotics, and System Engineering (DIBRIS), University of Genoa, Italy.

The proposed PhD research project will be focused on “Learning compositional visual representation of 3D shapes in vergent geometry”.

The goal is to derive a deep architecture for abstracting the statistically relevant information present in the disparity patterns obtained by binocular fixations. Starting from a neuromorphic early representation of 2D binocular disparity, the resulting 3D visual descriptors should be characterized by generalized perceptual constancy.

The project will provide the opportunity to work on neural modeling, visual psychophysics, computer vision, or a combination of them. Experimental, modeling, and theoretical approaches might be pursued with a different accent according to personal attitude. Ongoing cooperation, at international level, with research groups of different disciplines, will ensure a highly interdisciplinary and stimulating environment.

Successful applicants will have at their disposal state-of-the-art sw and hw, 3D VR-AR experimental set-ups, a high precision 3D laser scanner, a large-scale CPU/GPU-based neuromorphic architecture for joint stereo and motion cortical representation, and an iCub 6dof binocular robot head.

Successful applicants would have a good honors degree in bioengineering, computer science, physics or related disciplines, strong interest in computational neuroscience, and an open mind for interdisciplinary research.

On-line application will be soon opening (deadline: August 30th, 2014 at 12:00 noon (Italian time/CET))

Prospective students, please contact: Silvio Sabatini (--LOGIN--1312f43690c2a1f415fd572a2b0c5907unige[dot]it ).

DIBRIS is a unique inter-school department of the University of Genoa, bridging together researchers from the former Science and Engineering Faculties. It offers an excellent multidisciplinary, interactive and collaborative research environment combining expertise in computer vision, computational neuroscience, neuromorphic computing, robotics and mechatronics.

PSPC-Lab (www.pspc.unige.it), has a long-standing expertise in visual coding and multidimensional signal representation, robot perception and computer vision. In the last five years, the lab’s research activity focused on the analysis of the structural mechanisms of visuo-spatial cognition, responsible for orienting and interacting in the 3D space.

• PhD position on “Representing peripersonal space through sensorimotor likelihoods” at University of Genoa (Italy). Received: 01/07/2014, Deadline: 30/08/2014.

Applications are invited for one full-time PhD studentship (with scholarship) for a period of 3 years, starting Nov 2014, at “The Physical Structure of Perception and Computation” (PSPC) lab of the Department of Informatics, Bioengineering, Robotics, and System Engineering (DIBRIS), University of Genoa, Italy.

The proposed PhD research project will be focused on “Representing peripersonal space through sensorimotor likelihoods”.
On the ground of the research framework developed in the PSPC lab at DIBRIS (see www.eyeshots.it, [1]), the activity will focus on the design of theoretical models by converting computational approaches from engineering into cortical-like models of implicit representations of the peripersonal space. Such implicit representations, besides advancing experimental predictions about neuronal activity, are expected to drive learning of meaningful interactions with the environment thus achieving fluid multi-dimensional motor control in the presence of multiple sensory channels, and with minimal a priori knowledge.

[1] Antonelli M., Gibaldi A., Beuth F., Duran A.J., Canessa A., Chessa M., Solari F., del Pobil A.P., Hamker F., Chinellato E. and Sabatini S.P. (in press) A hierarchical system for a distributed representation of the peripersonal space of a humanoid robot. IEEE Trans. on Autonomous Mental Development.

The project will provide the opportunity to work on neural modeling, visual psychophysics, robotics, or a combination of them. Experimental, modeling, and theoretical approaches might be pursued with a different accent according to personal attitude.

Ongoing cooperation, at international level, with research groups of different disciplines, will ensure a highly interdisciplinary and stimulating environment.

Full details on the call and the application procedure are available at:

http://phd.dibris.unige.it/biorob/index.php/how-to-apply

Successful applicants would have a good honors degree in bioengineering, computer science, physics or related disciplines, strong interest in computational neuroscience, and an open mind for interdisciplinary research.

On-line application will be soon opening (deadline: August 30th, 2014 at 12:00 noon (Italian time/CET))

Prospective students, please contact: Silvio Sabatini (--LOGIN--1312f43690c2a1f415fd572a2b0c5907unige[dot]it ).

DIBRIS is a unique inter-school department of the University of Genoa, bridging together researchers from the former Science and Engineering Faculties. It offers an excellent multidisciplinary, interactive and collaborative research environment combining expertise in computer vision, computational neuroscience, neuromorphic computing, robotics and mechatronics.

PSPC-Lab (www.pspc.unige.it), has a long-standing expertise in visual coding and multidimensional signal representation, robot perception and computer vision. In the last five years, the lab’s research activity focused on the analysis of the structural mechanisms of visuo-spatial cognition, responsible for orienting and interacting in the 3D space.

• Post-doc position in Business Process Management, resource management, agents, service-oriented cloud computing and mobility at Tallinn University of Technology (Estonia). Received: 30/06/2014.

The Department of Informatics of Tallinn University of Technology looks for a post-doc who would be fit and capable for working on the interdisciplinary challenges list of the position paper. It would be important that this individual is not scared to think outside of the box and about many different topics. Thus, we really look for somebody who likes BPM, resource management (because of our position paper), agents, service-oriented cloud computing, mobility etc. This person should feel comfortable to research sociotechnical systems that meaningfully make acting humans more efficient and effective as members of teams that collaborate with each other across organizational boundaries using mobile devices that connect to service-oriented clouds.

The person would be at http://ttu.ee/en/ in Estonia, in the Laboratory of Socio-Technical Systems (http://maurus.ttu.ee/sts/).

Estonia is quite a remarkable little startup country that is based on Nordic values minus a restrictive wellfare state that limits and restricts everybody but instead offers a lot of liberty and freedom.

Interested applicants should contact Alexander Norta (--LOGIN--5a75f3bde604b29ceccc1286bff5d101ttu[dot]ee ) by email.

• Postdoctoral position in systems neuroscience at the University of California, San Diego (USA). Received: 27/06/2014.

POSTDOCTORAL RESEARCHER IN SYSTEMS NEUROSCIENCE

The BioCircuits Institute (BCI) and Departments of Physics, Chemistry / Biochemistry, Bioengineering, and Psychology and Neurobiology at the University of California, San Diego invite applications for a postdoctoral position in systems neuroscience, for experiments leading to the neuromorphic engineering of cognitive abilities.

The ideal candidate will have experience with in vivo electrophysiology, in awake behaving animals, and desire to apply biologically inspired algorithms to VLSI circuits and systems. Close interaction with other project researchers in computational and theoretical neuroscience, nonlinear dynamical systems, and neuromorphic engineering is involved.

We will accept applications immediately and will begin making selections on 1 September 2014, until the position is filled.

Appointments are for two years (in one-year increments) with the possibility of a third.

Send your statement of qualifications and interest with curriculum vitae, your two most significant publications and three letters of reference to Tim Gentner, Henry Abarbanel, Gert Cauwenberghs, Katja Lindenberg, Mikhail Rabinovich, and Terrence Sejnowski via email to: --LOGIN--d4e6e5afc8dc0e41e26a1fe882040a1bgmail[dot]com .

A Ph.D. or equivalent doctoral degree is required prior to the appointment.

UCSD is an EO/AA employer.

• Postdoctoral position in computational neuroscience at the Centre for Neuroscience and Cognitive Systems - Laboratory of Neural Computation, Rovereto (Italy). Received: 27/06/2014.

The postdoc will work to develop a set of novel information theoretic algorithms for the analysis of simultaneous recordings from large populations of retinal ganglion cells under dynamic natural visual stimulation. The project will be carried out in collaboration with the laboratory of Prof Tim Gollisch (University of Gottingen).

Interested applicants should contact Stefano Panzeri (--LOGIN--63516459497bf0dd2f8e3e83b1afcfc7iit[dot]it ) by email, emailing their CV with the inquiry.

The position can be opened very rapidly. Therefore interested candidates are warmly suggested to inquire as soon as possible.

For recent reviews about the work carried out by the laboratory of Neural Computation, prospective applicants are invited to consult the following articles:

G.T. Einevoll, C. Kayser, N.K. Logothetis and S. Panzeri (2013) Modelling and analysis of local field potential for studying the function of cortical circuits. Nature Reviews Neuroscience, 14: 770-785.

Panzeri S, Brunel N, Logothetis NK, Kayser C (2010) Neural codes at multiple temporal scales in sensory cortex.Trends in Neuroscience 33: 111-120.

Quian Quiroga R, Panzeri S (2009) Extracting information from neuronal populations: information theory and decoding approaches. Nature Reviews Neuroscience 10: 173-185.

• Three PhD positions at the Institute for Information Business, Vienna University of Economics and Business (Austria). Received: 25/06/2014, Deadline: 15/07/2014.

The Institute for Information Business is offering three PhD positions on a 2.5 years' contract, from October 1, 2014 (commencement date subject to negotiation) until March 31, 2017.

Responsibilities:

The candidate is expected to conduct research under the supervision of the principle investigators Prof. Dr. Axel Polleres and Prof. Dr. Jan Mendling within the frame of the FFG research project SHAPE (Safety-critical Human- & dAta-centric Process management in Engineering projects). In this project, we study ICT support for more rigorous and verifiable process management in recurring and adaptive engineering processes in an industrial context. The proposed framework shall provide automatic support for monitoring and checking conformance (e.g. to SIL levels) in engineering processes that require accountability in safety-critical domains such as the railway domain. To this end we will deploy methods from intelligent process mining, semantic technologies and automatic, constraint-based configuration.

Required skills and qualifications:

Candidates must have a master degree in information systems, business informatics, computer science, business administration, or social sciences and economics with a solid theoretical foundations in at least one of the following topic areas:

- business process management

- knowledge representation & reasoning

- process mining

- complex event processing

- natural language processing

- semantic web

- constraint-based configuration

Desirable skills and qualifications:

- Excellent study results,

- Technical knowledge of programming languages such as Java, data formats such as XML and RDF, and query languages such as SQL, SPARQL and XQuery

- Experience with industry and/or research projects,

- Experience in collaborating with companies,

- Proficiency in English,

- Experience with formal analysis of process models and corresponding software tools

- Experience with knowledge representation formalism and reasoning techniques such as Answer Set Programming

Submission deadline is 15 July 2014, to be sent by email including all necessary documents attached as a single PDF file to --LOGIN--eb3b750b0e5502af652b86722c580b52ai[dot]wu[dot]ac[dot]at .

Please contact --LOGIN--bef09f3071e0ad7e2014ff5e8c54f499wu[dot]ac[dot]at or --LOGIN--03d6df5c92caf69d48c0e97f64258356wu[dot]ac[dot]at for further details. To learn more about the Institute for Information Business, have a look here:http://www.wu.ac.at/infobiz/.

• Predoctoral and postdoctoral positions in Visual and Cognitive Neuroscience at Martinez-Conde lab in SUNY, New York City (USA). Received: 20/06/2014.

The Martinez-Conde lab (http://smc.neuralcorrelate.com) is moving this summer to SUNY's Downstate Medical Center (http://www.downstate.edu) in Brooklyn, New York City, under SUNY's Empire Innovator Program (https://www.suny.edu/media/suny/content-assets/communication/publicationsreportsdata/FacultyExcellence.pdf). The laboratory will be in the Department of Ophthalmology (http://www.downstate.edu/ophthalmology) at SUNY Downstate (a 25-minute subway ride to Times Square) and part of the SUNY Eye Institute (http://www.sunyeye.org).

Predoctoral and postdoctoral positions are available. Interested candidates should email their CVs to --LOGIN--9c550db7d9d6e672e93a89f1b37e3581neuralcorrelate[dot]com . Experience in psychophysical and/or neurophysiological techniques is required. The preferred candidates will have a strong background in programming (Matlab, C++, Python) and quantitative methods as evidenced by first-author publications.

The Martinez-Conde lab's research program is at the interface of visual, oculomotor and cognitive neuroscience. Representative publications can be downloaded from http://smc.neuralcorrelate.com/publications.

The State University of New York is an Equal Opportunity Employer.

• PhD/MSc Position in Computational Neuroscience at the University of Lethbridge (Canada). Received: 20/06/2014.

One PhD/MSc position is available immediately in the lab of Prof. Masami Tatsuno at the Canadian Centre for Behavioural Neuroscience, University of Lethbridge, Canada (http://www.uleth.ca). We investigate memory processes of the awake/sleeping brain experimentally and computationally with the goal of understanding how spontaneous reactivation of memory sequences facilitates performance improvement. We have been performing multi-electrode recordings in freely behaving animals as well as neural data analysis by statistical methods such as information geometry.

The successful candidate will work on one or a combination of projects aimed at developing a novel analysis method for neural signals, analyzing neural data, and modeling memory function. The successful candidate will also have an opportunity to participate in electrophysiological recordings. A high degree of interaction with the experimental team in my lab as well as the Brain Dynamics group (http://lethbridgebraindynamics.com) will be also expected.

Applicants should have a strong programming (e.g., MATLAB) and quantitative background (e.g., BSc/MSc degree in physics, math or computer science etc.). Experience with neuronal modeling is a plus. Candidates should email a short letter of research interest including their skills and experience, CV and the names of three references to Masami Tatsuno (--LOGIN--c5c96e8e77f283eb9d0bfb012c16c906uleth[dot]ca ) as soon as possible. Please do not have reference letters sent unless requested. Applicants should put “CompNeuro PhD/MSc recruitment” in the subject of their email.

Funding is available through our departmental NSERC CREATE grant in Biological Information Processing. Lethbridge is located two hours from Calgary, 90 minutes from the Canadian Rockies and is a safe, family friendly environment.

• Two Post-doctoral Researcher Positions in Networked Systems and Wireless Communications at IMDEA Networks Institute, Madrid (Spain). Received: 20/06/2014.

IMDEA Networks Institute is a networking research institute whose multinational team is engaged in cutting-edge fundamental science. As a growing, English-speaking institute located in Madrid, Spain, IMDEA Networks offers a unique opportunity for pioneering scientists to develop their ideas. IMDEA Networks is establishing itself internationally at the forefront in the development of future network technologies and has already incorporated highly-reputed scientists (see our research team here). Our researchers share the potential to shape the future of networking science over the coming years.

Further information regarding our areas of research can be found here.

Post-doctoral Researchers at IMDEA Networks Institute are early-stage, post-doctorate researchers who are looking to establish their research career, working with top senior researchers and a team of young, pre-doctorate researchers.

- Post-doctoral Researcher Position (Networked Systems & Algorithms Group)

The Networked Systems & Algorithms Group (led by Arturo Azcorra) at IMDEA Networks Institute in Madrid, Spain, invites applications for a Post-doctoral Researcher in the area of Networked Systems. This is a position to carry out advanced research tasks in the area of IP Routing in Internet Service Providers networks.

Requirements:

· Deep knowledge of IP Routing, IS-IS, OSPF, BGP, MPLS
· Deep knowledge of Graph Theory
· Ability to program in several programming languages (C, C++, Python, Perl)
· Knowledge and experience with Service Provider Networks operations

Conditions:

· Duration: One year. This is a full time position: 40 h/week
· Starting date: July 10th 2014 (expected)
· How to apply: If you are interested and believe that you qualify, please send your CV, scanned copies of your degree/s and scanned transcripts (optional) to: Brian Dunne (--LOGIN--3dc735cba4e8c410702e45bdc5156d01imdea[dot]org ). Please include the following reference number in the subject line when you apply for the position: 2014-17-06_Po-Doc_PF_002
· Deadline for receipt of applications: 2 July 2014

- Post-doctoral Researcher Position (Wireless Networking Group)

The Wireless Networking Group (led by Joerg Widmer) at IMDEA Networks Institute in Madrid, Spain, invites applications for a postdoctoral researcher in the area of Wireless Communications.

We are about to start the SEARCHLIGHT project on future very high speed wireless networks, funded through a prestigious ERC Consolidator Grant. The project targets efficient wireless network architectures and protocols for the extremely high frequency part of the radio spectrum (the millimeter wave band). Upcoming communication technologies, such as the IEEE 802.11ad standard operating at 60GHz, have recently started exploiting this part of the radio spectrum.

More details about the project can be found at http://www.networks.imdea.org/research/projects/searchlight. As a member of the team, you will be involved in cutting edge research and experimental work as well as close interaction with PhD students.

Requirements:

· PhD in computer science, electrical engineering, or a related field
· Strong background in wireless networking, ideally including experience in mmWave communication/IEEE 802.11ad
· Past experience in building systems and experimental work in the area of wireless networking is a plus
· Good publication record in top academic conferences and journals
· Excellent analytical, technical and problem solving skills
· Interest in mentoring graduate students
· Very good organization and communication skills

Candidates should send the following information as .pdf or .doc attachments to Joerg Widmer (joerg.widmer-AT-imdea-DOT-org):

· CV, including a list of publications, a summary of educational and work experience, and grades
· Short research statement (~1 page)
· Names and email addresses of at least 3 references

• PhD fellowship in computational or cognitive neuroscience at the Institut de Neurosciences de la Timone, CNRS & Aix-Marseille University (France). Received: 20/06/2014, Deadline: 15/07/2014.

Call for candidates for one PhD fellowship
at the Institut de Neurosciences de la Timone
CNRS & Aix-Marseille University (AMU)

Gaze orientation and learning:
an integrated experimental and modeling approach

PhD supervisors: Anna Montagnini and Laurent Perrinet
(InViBe team)

How do we maintain the accuracy of our movements despite changes occurring in our environment or within the organism? Our research project is to shed a new light on this question within a unified theoretical framework centred on reinforcement learning. We will study visually driven, voluntary eye movements as a model for motor learning. Indeed, these provide an ideal experimental preparation to probe sensorimotor decisions across different time-scales, processing levels (from sensory encoding to the final categorical choice) and movement repertoire (e.g. smooth pursuit vs saccades). In addition, a remarkable flexibility of simple oculomotor behaviors has been highlighted, by manipulating the expectancy for sensory features or the outcome associated to particular motor responses. Behavioral experiments on human eye movements will be designed, implemented and used to benchmark new theoretical models based on the probabilistic framework. The main focus will be on the modulation of oculomotor behavior (latency and metric properties, such as amplitude or speed) that is observed in a changing environment, especially in relation to a dynamic reinforcement schedule.

The proposed PhD is part of a project (Reinforcement and Eye Movements - REM, see http://invibe.net/LaurentPerrinet/TagAnrRem) funded by the French National Research Agency ANR, and it will be conducted in close collaborations with researchers at INT in Marseille (A. Montagnini, L. Perrinet and F. Danion) and at the University of Lille (L. Madelain and J. Jozefowiez). The Institut de Neurosciences de la Timone (see http://www.int.univ-amu.fr/?lang=en), brings together a large, young and dynamic community of scientists interested in frontline aspects of the integrative neurosciences. The net salary will be around 1430 euros per month.

Applicants should have a keen interest in cognitive science and hold a Master or equivalent degree in a relevant field (computational or cognitive neuroscience, computer science, psychology, engineering, physics, or mathematics). The selection process will strongly favor candidates with excellent programming skills and/or experience with eye tracking and visual psychophysics. Knowledge of French is not mandatory, although willing to learn it will facilitate enjoying life in Marseille and its beautiful surroundings.

Applications are now being accepted and until July 15th, 2014. Interested candidates should send a CV, brief summary of research accomplishments and interest, and the contact information for two to three referees familiar with the candidates’ backgrounds. Position needs to be filled by September, 1st, 2014. Please, send applications (in a single PDF file) to

--LOGIN--a968c2ce813369c948a431c87c860832univ-amu[dot]fr and --LOGIN--92693aa5a05c875ed24ad2ddf1be842funiv-amu[dot]fr .

• Post-doc vacancy in Hardware-Software Codesign at Imperial College London (UK). Received: 19/06/2014, Closing date: 15/07/2014.

Research Associate, Hardware-Software Codesign: A Higher-Order Approach
Imperial College London - Faculty of Engineering
Location: London
Salary: £28,770 to £41,540
Hours: Full Time
Contract: Contract / Temporary
Placed on: 16th June 2014
Closes: 15th July 2014
Job Ref: EN20140205AS

Department of Electrical and Electronic Engineering
Salary range: £32,750 - £41,540 per annum*
Appointments are normally made at the bottom of the salary scale
Fixed term appointment for 18 months in the first instance

Imperial College London is recruiting for the EPSRC project “A Higher-Order Approach to Codesign”, a collaboration between Imperial College and the University of Birmingham.

The Codesign project builds on work at the University of Birmingham which aims to synthesis highly efficient FPGA circuits from platform-independent high-level code, and will extend the existing “Geometry of Synthesis” tool to support automatic partitioning between software and hardware. Imperial College will be contributing its significant expertise in FPGA research, and in particular the extensive work on acceleration of numerically intensive applications using FPGA accelerators. The vision is to combine innovative compiler approaches with knowledge of low-level mapping and partitioning strategies, so as to create a simple and error-free programming experience, while also providing an automatic route to high-performance heterogeneous systems.

Broadly speaking this post is concerned with FPGA systems and compilation, but we expect significant overlap and co-operation between the two, with researchers in Birmingham providing insights into low-level FPGA mapping, and researchers at Imperial giving suggestions about language design and partitioning strategies.

This appointment will involve some level of FPGA programming and embedded system design, but we will consider applications from theoretical computer scientists and others with a mathematical and software background. Existing experience with FPGAs or digital logic is not a requirement, as long as applicants are willing and able to learn the basic principles and tools as part of the job.

You will be expected to have completed, or be near to completing, a PhD or equivalent in a relevant area.

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £28,770 - £31,880 per annum

Applicants should have a strong background in one or more of the following areas:

1. Compiler design and implementation
2. Digital hardware design, of both data-path and control-oriented designs
3. Electronic Design Automation (EDA) tools for digital hardware
4. Synthesis of digital circuits from high-level descriptions
5. Type theory and programming language design
6. Embedded software development (e.g. C, C++)
7. Design and implementation of systems containing FPGAs and CPUs
8. Computer arithmetic

Skills in one or more of software engineering, optimization theory, numerical analysis, and functional programming are also highly desirable.

There will be some travel involved both within the United Kingdom and abroad to conduct research, visit collaborators, and attend conferences. Regular trips to Birmingham will be necessary throughout the project.

Our preferred method of application is online via our website http://www3.imperial.ac.uk/employment (please select “Job Search” then enter the job title or vacancy reference number, EN20140205AS into “Keywords”). Please complete and upload an application from as directed.

Alternatively, if you are unable to apply online, please contact Mrs Wiesia Hsissen at email address: --LOGIN--7135e65f9b94281ff0b7d27cce55276cimperial[dot]ac[dot]uk to request an application form, quoting reference number EN20140205AS in the request.

Closing date: 15 July 2014 (midnight BST)

• Two Postdoctoral postions in Neuroscience at the Australian National University, Canberra (Australia). Received: 19/06/2014, Closing date: 13/07/2014.

Two Postdoctoral Fellow positions are available to join the Neuronal Signalling Laboratory led by Professor Greg Stuart to study the integration of synaptic information in the brain, with a particular focus on how this information is transformed by the dendrites of neurons. The research projects will focus on the integration of information in the binocular visual cortex as well as in the somatosensory cortex. The research will involve experiments both in vitro and in vivo in rats and mice using electrophysiology (patch-clamp) and imaging (two-photon), possibly combined with behaviour and/or optogenetics and will be carried out in new state-of-the-art facilities in The John Curtin School of Medical Research at the Australian National University in Canberra, Australia.

Closing Date: 13 July 2014

Salary: $62,511 - $79,294 pa plus 17% superannuation

We offer generous remuneration benefits, including four weeks paid vacation per year, assistance with relocation expenses and a collaborative working environment.

To apply see: http://jobs.anu.edu.au/PositionDetail.aspx?p=4009

• Open PhD Position in Computational Modeling and Eye Tracking in Infancy Research at the Frankfurt Institute for Advanced Studies (Germany). Received: 18/06/2014.

An opening is available for an interdisciplinary PhD project in the group of Jochen Triesch at the Frankfurt Institute for Advanced Studies (FIAS, http://fias.uni-frankfurt.de/de/) focusing on computational modeling and gaze-contingent eye tracking in infancy research.

Gaze-contingent eye tracking techniques, which allow young infants to exert control over the course of the experiment, are currently opening up new ways of studying infant's cognitive development [1], training their cognitive abilities [2], and hold promise for diagnosing and treating developmental disorders. We are seeking an outstanding and highly motivated PhD candidate for an exciting project in collaboration with the developmental psychology group of Prof. Monika Knopf at Goethe University Frankfurt. Additional collaborators of our lab include leading developmental psychology and cognitive science labs in Italy (Prof. Gianluca Baldassarre, Rome), and the US (Prof. Chen Yu, Indiana University, Prof. Gedeon Deák, UC San Diego).

Applicants should have a keen interest in cognitive development and hold a Master or equivalent degree in a relevant field such as cognitive science, computer science, psychology, engineering, physics, or mathematics. The candidate should have excellent programming skills (e.g. Matlab, Python, C/C++) and good analytic skills. Experience with eye tracking and knowledge in machine learning (e.g., reinforcement learning, neural networks, Bayesian models), computational neuroscience (attention and reward systems), and data analysis (time series analysis, hypothesis testing) are a plus.

The Frankfurt Institute for Advanced Studies is a research institution dedicated to fundamental theoretical research in various areas of science. It is embedded into Frankfurt's recently established natural science research campus. Frankfurt is the center of one of the most vibrant metropolitan areas in Europe. Apart from being an economic and financial hub, it boasts rich cultural assets and repeatedly earns top rankings in worldwide surveys of quality of living.

Applications should include a 1-2 page statement of research experience and interests, CV including publications, awards, and relevant course work, academic transcripts, and contact information for two to three references. All documents should be sent in pdf format. Send applications to --LOGIN--208505b7f7429fd1c4632f37a201aee4fias[dot]uni-frankfurt[dot]de . We aim to fill the position during Fall 2014.

[1] Wang Q, Bolhuis J, Rothkopf CA, Kolling T, Knopf M & Triesch J. (2012) Infants in Control: Rapid Anticipation of Action Outcomes in a Gaze-Contingent Paradigm. PLoS ONE 7(2): e30884. http:dx.doi.org/10.1371/journal.pone.0030884

[2] Wass SV, Porayska-Pomsta K & Johnson MH (2011). Training attentional control in infancy. Current Biology 21 (18), 1543-1547. http://dx.doi.org/10.1016/j.cub.2011.08.004

• Post-Doctoral Fellowships in Computer Vision at EPFL (Switzerland). Received: 17/06/2014.

EPFL's Computer Vision Laboratory (http://cvlab.epfl.ch/) has two openings for post-doctoral fellows in the field of Computer Vision.
More specifically, we are looking for people interested in:

- Modeling neurons from microscopy images. Since microscopes now routinely produce high resolution imagery in such large quantities that the need for automated processing and interpretation is becoming critical. We are working on approaches to providing it. See http://cvlab.epfl.ch/page-90578-en.html for more details.

- People-tracking from multiple video streams. We have been developing video-based algorithms for tracking multiple players in team sports and we would like to broaden their scope. See http://cvlab.epfl.ch/research/body/surv for more details.

Position:

They are initially offered for 12 months starting in Febuary 2015 and can be extended.

The Computer Vision laboratory offers a creative international environment, a possibility to conduct competitive research on a global scale and involvement in teaching. Within the project, there will be ample opportunities to cooperate with some of the best groups in Europe and elsewhere.

EPFL is located next to Lake Geneva in a beautiful setting 60 kilometers away from the city of Geneva. Salaries are in the order of CHF 80000 per year, the precise amount to be determined by EPFL's department of human resources.

Education:

Applicants are expected to have finished, or be about to finish their Ph.D. degrees, to have a strong background in Computer Science, and to have a track record of publications in top conferences and journals. Strong programming skills (C or C++) are a plus.
French language skills are not required, English is mandatory.

Application:

Applications must be sent by email to Ms. Gisclon (--LOGIN--f8c8dcace70a6ab3e9718ec2d59f416aepfl[dot]ch ). They must contain a statement of interest, a CV, a list of publications, and the names of three references.

• Open postdoctoral position in Computational Neuroscience at Harvard University (USA). Received: 16/06/2014.

We are seeking an exceptional postdoctoral researcher in Computational Neuroscience. The candidate will work on neurophysiological, cognitive, machine learning and computational approaches to understanding human episodic memories. The project will be part of a multidisciplinary effort with application to brain-machine interfaces working with Prof. Suthana, Prof. Mehta, Prof. Kreiman and Prof. Fried.

Interested candidates should submit a CV and arrange for three letters of recommendation to be sent to --LOGIN--68c95dd8ac5a804f888ca45e0cd464e7tch[dot]harvard[dot]edu

Position will be open until filled; send applications sooner rather than later if interested.

For relevant work and publications, see

http://www.physics.ucla.edu/~mayank/

http://klab.tch.harvard.edu/

http://www.cnl.ucla.edu/index.htm

• PhD and PostDoc positions in computer vision and machine learning at Queen Mary University of London (UK). Received: 16/06/2014, Deadline: 11-16/07/2014.

Applications are invited for two positions at Queen Mary University of London, School of Electronic Engineering & Computer Science. The positions will be based in the internationally renowned Risk and Information Management and Computer Vision groups.

Postdoc Position
We are seeking a postdoctoral research assistant with a strong background in computer vision and machine learning. This 13 month post is funded by the UK EPSRC project Transfer Learning for Person Re-Identification and will address cutting edge research at the forefront of transfer learning for vision. A track record of publication at top venues in vision or machine learning is essential.

Deadline: 11th July.
Start Date: As soon as possible, ideally before 31st August 2014.
Details & application:
http://www.jobs.ac.uk/job/AIY338/postdoctoral-research-assistant/

PhD Position
We are searching for a motivated PhD candidate with a background in machine learning to work in any of the active research areas within our lab. These include topics related to life-long machine learning (transfer, multi-task and cross domain learning), deep learning and active learning. Current areas of application include computer vision and multi-media (recognition, person re-identification, attribute learning, weakly supervised learning), sentiment analysis, medical data analysis and internet/web data analytics.

Deadline: 16th July.
Start Date: October 2014.
Details & application:
http://www.jobs.ac.uk/job/AIY692/phd-studentship-in-machine-intelligence/

International applicants are welcome for both positions.
For informal enquiries contact Dr. Timothy Hospedales,
--LOGIN--fb828da5bb542ace092ab5647ea4caabqmul[dot]ac[dot]uk

• PhD position in computational neuroimaging at TU Dresden (Germany). Received: 11/06/2014, Closing date: 07/07/2014.

The Department of Psychology, Institute of General Psychology, Biopsychology and Methods of Psychology, Chair of Neuroimaging (Prof. Dr. Stefan Kiebel) invites applications for a Member of academic staff / PhD student (E 13 TV-L) with 50 % of the fulltime weekly hours. The position will start (ideally) on 01.10.2014. The PhD position is initially limited for 3 years. A contract extension for a fourth year is possible. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG).

The main research goal is the development and experimental testing of novel computational models of decision making. The computational models typically employ Bayesian inference and experiments are performed using fMRI and EEG.

The Chair of Neuroimaging has full access to all experimental facilities at the Neuroimaging Center at the TU Dresden. The Neuroimaging Center is equipped with a research-only MRI scanner (Siemens 3T TIM Trio), MRI-compatible EEG and eye tracking, and a transcranial magnetic stimulation (TMS) unit. All experimental facilities are supported by experienced physics and IT staff. For computational work, the group has access to the TU Dresden high-performance computing clusters.

The Chair of Neuroimaging will be newly established at the TU Dresden, and will move from the Max Planck Institute in Leipzig (http://www.cbs.mpg.de/depts/n-3/dyn/@@index.html) to Dresden.

Tasks: The PhD student will work on a series of projects in the area of decision making using computational modelling of behavioural and neuroscientific data.

Requirements: The candidate should have either (i) a university degree in psychology or cognitive neuroscience and a strong interest in computational modeling, or (ii) a university degree in mathematics, computational neuroscience, physics, or similar with a strong interest in performing neuroimaging experiments for testing computational models. The position is ideal for candidates interested in research at the interface between computational modeling and experimental neuroimaging.

For questions or an informal discussion about this position please contact Prof. Stefan Kiebel (--LOGIN--5dc5489d50eabd7ae626627c2c486bf0tu-dresden[dot]de ).

Applications from women are particularly welcome. The same applies to people with disabilities.

Applicants should send their application documents (cover letter including a brief description of personal qualifications and future research interests, CV and contact details of two personal references) until 07.07.2014 (stamped arrival date of the university central mail service applies) - preferentially via e-mail as a single PDF-file - to --LOGIN--2f3ae9463f37f12a9a2399c71c085265tudresden[dot]de (Please note: We are currently not able to receive electronically signed and encrypted data.) or to TU Dresden, Fakultät Mathematik und Naturwissenschaften, Fachrichtung Psychologie, Institut für Allgemeine Psychologie, Biopsychologie und Methoden der Psychologie, Professur für Neuroimaging, Herrn Prof. Dr. Stefan Kiebel, 01062 Dresden.

• Plaza de personal investigador en el área de cirugía guiada por imagen en la Universidad Carlos III de Madrid (Spain). Received: 11/06/2014.

El Biomedical Imaging and Instrumentation Group (Departamento de Bioingeniería, Universidad Carlos III de Madrid) oferta una plaza para personal investigador en el área de cirugía guiada por imagen. El candidato desarrollará sus tareas presenciales entre el campus de Leganés de la Universidad y el Laboratorio de Imagen Médica en el Hospital Gregorio Marañón (Madrid).

El candidato deberá poseer titulación de Ingeniero Superior (alternativamente Grado+Máster) en Telecomunicación, Informática o similar. Deberá tener motivación para trabajar en investigación, y se valorará el interés por realizar el doctorado en el grupo.

Las tareas a realizar incluirán:

· Calibración y programación de sistemas de posicionamiento tridimensional óptico y magnético.

· Desarrollo de aplicación para guiado por imagen de intervenciones quirúrgicas.

· Evaluación de nuevos métodos de registro imagen-paciente.

· Programación de interfaces gráficas para sistemas de navegación quirúrgica.

· Visualización tridimensional de imágenes 3D y datos de posicionamiento.

· Registro multimodal no rígido.

· Gestión de datos clínicos de imagen y de planificación para estudios de investigación.

Méritos a valorar:

· Experiencia previa en el procesamiento de imágenes médicas.

· Experiencia avanzada en el empleo de software de procesamiento de imágenes médicas, en especial MITK, ITK, VTK.

· Conocimiento de lenguajes y entornos de programación, en especial C/C++.

· Publicaciones relacionadas con el trabajo a desarrollar.

· Buen nivel de inglés tanto escrito como oral.

· Disponibilidad de jornada completa.

· Estancias de investigación en el extranjero de más de un mes.

· Colaboración en cursos de procesamiento de imagen.

Se ofrece:

· Jornada completa.

· Sueldo equivalente a personal de investigación en formación.

Enviar CV a Eugenio Marinetto --LOGIN--b0502ad04bc32a9525cd3d379066726ehggm[dot]es

• PhD Scholarship in Real-time Big Data Mining of Brain and Physiological Data in Computationally Demanding Tasks at University of New South Wales, Canberra (Australia). Received: 09/06/2014, Closing date: 05/08/2014.

3-year PhD Scholarship on Real-time Big Data Mining of Brain and Physiological Data in Computationally Demanding Tasks

The scholarship is open for International Students

CLOSING DATE: 5-August-2014 or until position is filled
Start Date: Semester 1, 2015
Stipend $24,653 per annum tax free

School of Engineering and Information Technology
University of New South Wales – Canberra Campus

About the topic

The larger aim of our research is to design next generation intelligent systems where the human brain is seamlessly integrated with the computational in-silco decision making environment. An overview of our most recent experiment where we integrated brain data with the Air Traffic Control environment can be found at http://issuu.com/lesterpublications/docs/atca_journal_q2_2014_preview

This PhD project aims at designing algorithms and models for analysing massive amount of EEG and physiological data in a real-time environment. There is a level of flexibility to adjust the scope and focus of the PhD project to fit a suitably qualified candidate.

The ideal candidate for this PhD scholarship

You must have the equivalent of a four-year Bachelor’s degree with first or upper second class honours, or a three-year Bachelor’s degree with a masters by research degree in one of the following specialities: Electrical Engineering (Signals), Psychology (neuro-science), Computer Science (Data Mining), or Mathematics (Time series analysis).

The candidate must have excellent time-management skills, passion for interdisciplinary research, and the determination to produce high quality thesis accompanied with high quality publications.

The topic requires a candidate with the impetus to perfect their knowledge in signal processing, time series analysis and neuro-science.

Our Team

The University of New South Wales (UNSW) is in the top 100 universities internationally and one of the top 8 research intensive universities (known as GO8) in Australia. The Canberra campus is located at the Australian Defence Force Academy in Canberra, the Capital of Australia. We enjoy a highly multi-cultural environment with students and staff from all over the world. We respect diversity and merit-based selection.

The School of Engineering and Information Technology (SEIT) has more than 170 PhD students. SEIT hosts one of the largest groups in Australia working on and using computational intelligence techniques. The team for this project is part of this group. We enjoy working at the interface between humans and machines, attempting to uncover some of the mystery in human dynamics using advanced computational tools.

For additional information about this position, please contact Prof. Hussein Abbass [email --LOGIN--460ec51c0b0158342c076984ab078cb6gmail[dot]com ]

• Research Associate with an expertise in Biomedical Image Processing at the Instituto de Optica, Consejo Superior de Investigaciones Científicas, Madrid (Spain). Received: 06/06/2014, Deadline: 31/07/2014.

JOB DESCRIPTION

Research Associate (Biomedical Image Processing)

The Visual Optics and Biophotonics Laboratory (Institute of Optics, CSIC, Madrid), a leading laboratory in the field of ocular imaging at national and international levels, is seeking a Research Associate with an expertise in Biomedical Image Processing for applications in Ocular Imaging, in the context of an awarded ERC Advanced Grant.

Job role

The role as a Research Associate in Biomedical Image Processing will be:

(1) Develop image processing routines for image restoration, shape reconstruction and quantification.
(2) Develop routines for image acquisition and instrument calibration.
(3) Optimize and document the performance of the algorithms.
(4) Interact with optical engineers, instrument developers, and clinicians.
(5) Development and set up of new imaging-­‐based diagnostic tools.

Qualifications, knowledge & experience:

(1) Demonstrated experience in Image Processing in a research environment.
(2) Excellent programming experience.
(3) Excellent written and oral communication skills in English.

A PhD degree in Image Processing, and/or previous experience in instrument development, biomedical imaging and optical simulations, will be considered a plus.

Personal skills & attributes:

(1) Dynamic person with a demonstrated capacity of team work.
(2) Strong communication and organizational skills.
(3) Previous experience in multidisciplinary environments.
(4) Proactive, flexible and problem-­‐solving attitude.
(5) Strong experimental and analytical skills.
(6) Team Player and ability to work independently.

Work environment:

(1) The successful applicant will join a team of young and dynamic international scientists based in Madrid.
(2) High international impact in the fields of optics and biophotonics, and multidisciplinary approach to applications in ophthalmology.
(3) Excellent multidisciplinary network of research and innovation, with collaborations with top international centers, clinic and industry.
(4) Enriching environment with excellent opportunities for career development.

Conditions:

(1) Salary will be commensurate with experience. Wage includes social security and institutional benefits.
(2) Potential starting date: September 2014.
(3) Duration: Initial 1-­‐year contract (or longer, depending on experience and skills), with the possibility of yearly renewal, with possible significant wage increase, based on achievements.

Please submit your application electronically, including cover letter, CV and list of references to: --LOGIN--b87a2a23bcd49d3e30d228a292e697f1io[dot]cfmac[dot]csic[dot]es .
Please indicate reference: ERC-­‐Biomedical Image Processing.
Applications deadline: July 31st.
Euroaxess: http://ec.europa.eu/euraxess/index.cfm/jobs/jobDetails/33927840.

The Visual Optics and Biophotonics Lab

The Visual Optics and Biophotonics Lab, led by Prof. Susana Marcos, provides a young and dynamic research environment. The laboratory is funded primarily by European grants (ERC Advanced Grant), national programs and holds excellent collaborative programs with top international laboratories, clinical institutes and industry. The Lab is part of the Spanish Visual Optics Network, EU OPAL Marie Curie ITN Research of Excellence, MIT M+Vision Consortium, among others. The Institute of Optics (CSIC) is the earliest research institute in Optics in Spain, and holds an excellent reputation of research in optics, particularly in Visual Optics. CSIC (www.csic.es) is the National Center for Research in Spain, and the most important multidisciplinary research facility in the country, and amongst the highest ranked in Europe.

Full information regarding VIOBIO Lab activities: www.vision.csic.es

• PhD studentship in FPGA-based Manycore at Imperial College London (UK). Received: 04/06/2014, Deadline: 01/07/2014.

Imperial College London
Department of Electrical and Electronic Engineering
PhD studentship

Supervisors: Professor George A. Constantinides and Dr Christos Bouganis

Start date: 1 October 2014

The Circuits and Systems Group is looking for a talented electronic engineering or computing graduate to undertake a PhD together with collaborators at Simon Fraser University (Canada). The topic of the research is closely aligned with the PRiME Programme Grant, which brings Imperial College, Southampton, Manchester and Newcastle Universities together to explore the fundamental problems in manycore reliable embedded systems.

Today, performance scaling of computer technology is largely achieved through parallelism. However, the cores in such manycore parallel systems may not be identical, whether by design or due to physical variations. User requirements are often also dynamic, and may include power consumption, computational accuracy and throughput.

It is not clear how applications should be managed under these conditions. The PhD project will investigate this challenge in the context of the computer vision domain, and aim to address the following questions: How are the demands of applications and users balanced with available computing resources and environmental constraints? Can a system use run-time information and self-awareness to dynamically adjust and optimise scheduling and mapping strategies? What domain-specific and domain-general lessons can be learned for future computational devices?

A successful applicant should hold, or be close to the award of, an MEng or MSc degree in an electronics, computing or related subject with first class honours. You should also demonstrate skills and experience in one or more of the following subject areas:

Computer architecture
Operating systems
Systems modelling
Machine learning
Computer vision
Reconfigurable systems / Field-Programmable Gate Arrays

You should have the ability to interact with a wide range of people, the ability to develop and apply new concepts and excellent verbal and written communication skills. You should also be able to organise your own work, work to deadlines and demonstrate willingness to work as part of a team.

The project will be jointly supervised by a professor at Simon Fraser University, Burnaby, BC, Canada, and occasional travel to Canada will be required.

To apply for this position, please complete a standard PhD application at http://www.ic.ac.uk/registry, marking the supervisor as Prof George Constantinides and the subject area as “PRiME – SFU”. Please also email Mrs Wiesia Hsissen (--LOGIN--c3d46b145030ef92fe66abd4c92c605cic[dot]ac[dot]uk ) to confirm submission.

Applications will be accepted until 1st July 2014.

• PhD position in computational modelling at the Max Planck Institute for Human Cognitive and Brain Sciences Leipzig (Germany). Received: 03/06/2014.

The Max Planck Institute for Human Cognitive and Brain Sciences Leipzig and the Collaborative Research Center (CRC) 1052 “Obesity mechanisms” at the Leipzig University Hospital are offering a PhD studentship in computational modelling. Within the project, computational modelling is used to investigate leaning and decision-making in humans. The project is aimed at the multi-modal integration of available and newly acquired behavioral, structural/functional magnetic resonance imaging (MRI), PET and genetic data towards comprehensive computational and neurocognitive models of cognitive control over behavior.

Work will be carried out at the Max Planck Institute for Human Cognitive and Brain Sciences Leipzig under the supervision of Dr Jane Neumann and Dr Annette Horstmann. Both Leipzig‘s long tradition in conducting neuroscientific research and the ultra-modern equipment at the Max Planck Institute provide an environment that offers new perspectives in neuroimaging research. Further, the position will be part of the CRCs Integrated Research Training Group. This graduate program offers interdisciplinary qualification in various research methods and transferable skills, and provides support in career planning and in establishing an own scientific network.

Applicants should hold a Master's degree (or equivalent) in one of the following disciplines: computational or cognitive neuroscience, computer science, maths, psychology, biology, cognitive science or related. Prior experience in the fields of computational neuroscience and/or neuroimaging are of great advantage. Sound knowledge of statistics and excellent programming skills are essential. A good command of written and spoken English is requested of all applicants.

Please send your application as a single pdf-file to --LOGIN--6454a152e03988945d740ec3d6cd5f18cbs[dot]mpg[dot]de referring to 'Modelling SFB 1052'. Complete applications include cover letter, CV, letter(s) of recommendation, and copies of university degrees and additional certificates.

Informal enquiries should be made to Dr Jane Neumann (+49 (0) 341 99 40 26 21). For meeting Dr. Neumann and Dr. Horstmann at OHBM 2014, please send an email to --LOGIN--6454a152e03988945d740ec3d6cd5f18cbs[dot]mpg[dot]de or --LOGIN--670f672c86641de1ab718257f7551463cbs[dot]mpg[dot]de including days and times when you are available during the conference.

The salary is based on the German E 13 TV-L salary scale. In order to increase the proportion of female staff members, applications from female scientists are particularly encouraged. Disabled applicants are preferred if qualification is equal.

Deadline for application: until position is filled

Further details about the project can also be found at www.o-brain-project.de

• PhD studentships in computational neuroscience and machine learning at the University of Hertfordshire (UK). Received: 08/05/2014.

Applications are invited for PhD studentships in the Biocomputation Research Group at the Science and Technology Research Institute at the University of Hertfordshire. PhD projects involve the development of computer simulations of neurons and neuronal networks to study information processing in the brain, and/or the application of machine learning techniques to analyse electrophysiological data. More details about our research and a list of potential projects can be found on our homepage (http://homepages.herts.ac.uk/~comqvs/research.html).

Applicants should have good computational and numerical skills and an excellent first degree in computer science, biology, maths, physics, neuroscience, or a related discipline. Previous experience in neuroscience is not required but would be an advantage. Successful candidates are eligible for a research studentship award from the University (approximately GBP 13,800 per annum bursary plus the payment of the standard UK student fees). Applicants from outside the UK or EU are eligible, but will have to pay half of the overseas fees out of their bursary.

Research in Computer Science at the University of Hertfordshire has been recognized as excellent by the latest Research Assessment Exercise, with 55% of the research submitted being rated as world leading or internationally excellent. The Science and Technology Research Institute provides a very stimulating environment, offering a large number of specialized and interdisciplinary seminars as well as general training opportunities. The University of Hertfordshire is situated in Hatfield, in the green belt just north of London.

Please contact Dr Volker Steuber (v.steuber @ herts.ac.uk) for informal enquiries. Application forms can be obtained from Mrs Lorraine Nicholls, Research Student Administrator, STRI, University of Hertfordshire, College Lane, Hatfield, Herts, AL10 9AB, Tel: 01707 286083, l.nicholls @ herts.ac.uk. The short-listing process will begin on 9 June 2014.

• Bioinformatician Programmer position in Edinburgh Genomics, University of Edinburgh (UK). Received: 05/05/2014, Closing date: 27/05/2014.

Edinburgh Genomics is a thriving, high impact, international genomics facility based at the University of Edinburgh, providing access to the latest next-generation sequencing, SNP genotyping, microarray and bioinformatics technologies to researchers worldwide. The facility is the second largest in the UK, with a turnover in excess of £3 million per year. Using our state of the art data generation and analysis equipment, we collaborate with research teams to enable leading-edge genomics research in all areas of the biomedical, agricultural and environmental sciences. Edinburgh Genomics is very much a research facility, and we pride ourselves on trialling and implementing new technologies as quickly as we can. Edinburgh Genomics offers now for the Bioinformatics group the following post:

Bioinformatician Programmer (Vacancy Ref: 029429)
We are seeking a skilled Programmer to join our growing Bioinformatics team. The post-holder will have core responsibilities in building and maintaining the underpinning workflows that assure timely and accurate processing of all raw data that is produced at Edinburgh Genomics.

Main Responsibilities
- Developing, implementing and maintaining high-quality pipelines for the processing of large quantities of next-generation sequencing data.
- Developing robust, scalable and secure integrated solutions to high-throughput processing using the facility's high-performance data store and computing installation.
- To implement new pipelines, improve existing ones and improve the facility Laboratory Information Management System (LIMS) working in close collaboration with laboratory staff and bioinformaticians.
- Providing training to facility bioinformaticians and other scientists in the use of data processing pipelines and LIMS integration.
- Keeping comprehensive, high-quality and up to date records of tasks performed and reporting to the Edinburgh Genomics Head of Bioinformatics and Bioinformatics Operations Manager.

Essential requirements and skills
- Graduate qualifications in informatics, bioinformatics or computing applied to biological questions, at least to MSc level.
- A high level of programming skill and several years of demonstrable experience in programming, particularly in Python, Perl and Shell scripting.
- Experience and knowledge of good software engineering practice, including use of version control systems (e.g. SVN, Git) and implementation of unit tests.
- Experience working in Linux clusters computing environments with job queue systems like SGE.
- Good interpersonal skills and efficient time and project management skills.

The following aspects will be favourably regarded:
- Experience in bioinformatics programming applied to genomics problems
- Familiarity with next-generation sequence data
- Experience with SQL, MySQL and PostgreSQL databases.
- Web programming (Javascript, Ajax and jquery) and development of web services using REST

Application Procedure
For more information regarding job description, requirements, conditions and how to apply you should go to:
https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=029429

The application process is quick and easy to follow, and you will receive email confirmation of safe receipt of your application. The online system allows you to submit a CV and other attachments.
The closing date is 5pm GMT on 27 May 2014.

The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

• Two PhD Positions and one Postdoc Position in Machine Learning / Sensory Data Processing at the University of Oldenburg (Germany). Received: 28/04/2014, Deadline: 15/06/2014.

The Machine Learning research group at the University of Oldenburg is seeking to fill

Two PhD Research Positions and one (postdoctoral) Research Associate Position

All positions are part of the Machine Learning group which develops learning and inference technology for sensory data. We pursue basic research, develop new technology, and apply our approaches to different tasks. Our research hereby combines modern probabilistic data descriptions, modern computer technology and insights from the neurosciences. We contribute to the improvement of current methods for computer hearing, pattern recognition and computer vision as well as to the understanding of biological and artificial intelligence. Research will be conducted in close collaboration with leading international and national research labs. Our research field can be considered as part of the Data Sciences, Computational Sciences, or Big Data approaches (to name some terms recently used in the media).

Salary levels of the positions are based on the TV-L scale of the German public sector (Öffentlicher Dienst). After the deduction of health insurance, pension tax and other taxes, the salary for the PhD positions amounts to approximately 1600 EUR per month, and to about 2000 EUR per month for the (postdoctoral) Research Associate Position. Depending on the experience of the candidates, the salary can be higher. But please note that the only definite sources for all information on the positions including salary, job description and application/selection procedure are the central websites of the University of Oldenburg.

For the PhD positions see:
http://www.uni-oldenburg.de/stellen/?stelle=63323
For the postdoc position see:
http://www.uni-oldenburg.de/stellen/?stelle=63322

Depending on the skills and interests of the candidates, the research focus will be on the development of new probabilistic learning algorithms and/or their applications to high-dimensional sensory data. Projects can emphasize basic research for general purpose learning and pattern recognition, or applications of algorithms to specific tasks.

Candidates for the PhD positions have to hold a Master degree in Physics, Computer Science, Mathematics or a closely related subject (at the latest at the time when the contract is signed). Analytical/mathematical skills and programming skills (e.g. python, matlab, C++) are required for all candidates. Experiences with Machine Learning algorithms are desirable. Experiences with acoustic data, other types of sensory data, and an interest in the neurosciences are a plus but are not strictly required.

The candidates for the (postdoctoral) Research Associate position have to hold a Master degree or (preferably) a PhD/Doctoral degree in Physics, Computer Science, Mathematics or a closely related subject (alternatively, a statement can be provided that a PhD/Doctoral degree will be issued when the position is taken or shortly thereafter). Analytical/mathematical skills, programming skills, and experience with Machine Learning algorithms are required. Experiences with acoustic data, other types of sensory data, and an interest in the neurosciences are a plus but are not strictly required. The (postdoctoral) Research Associate position is suitable for part-time work.

All positions can be filled immediately and are available for initially two years with an option for extension.

The appointed researchers will be part of a very new working environment. The research group is currently established through a strategic investment into Machine Learning technology at Oldenburg. The group is located in a new building, and the Cluster of Excellence Hearing4all is part of the German Excellence Initiative which funds top-tier research in Germany. The cluster comprises many interdisciplinary research groups that are currently set up or that are extended. As a consequence, many new PhD, postdoc and faculty positions allow for interesting collaboration opportunities and provide an attractive scientific and social environment. The city of Oldenburg is one of Germany's cities with the highest rated living quality, it is close to the North Sea and near to the cities of Bremen and Hamburg.

For more information about the Machine Learning research group visit:
http://www.uni-oldenburg.de/ml/

For more information about the Cluster of Excellence Hearing4all visit:
http://hearing4all.eu/EN/

The University of Oldenburg is dedicated to increasing the percentage of women in science. Therefore, female candidates are particularly encouraged to apply. According to § 21 III NHG (legislation governing Higher Education in Lower Saxony) preference will be given to female candidates in cases of equal qualification.

Handicapped applicants will be given preference if equally qualified.

Please send your application including the usual documents (including contact details for reference letters) preferably electronically (PDF) to Jörg Lücke <--LOGIN--2f2364e20b4b3cea5e6cefdc2c684865uni-oldenburg[dot]de > or per mail to: Carl von Ossietzky Universität Oldenburg, Fakultät VI, Machine Learning, z.Hd. Frau Jennifer Köllner, 26111 Oldenburg, Germany. Please use “Research Position (PhD)” as subject line for applications to the PhD positions, and “Research Associate Position (postdoc)” for applications to the (postdoctoral) Research Associate position.

The application deadline is 15 June 2014. Applications received after this date are not guaranteed to enter the selection process.

• Postdoc position in reinforcement learning for telepresence robotics at the University of Amsterdam (The Netherlands). Received: 14/04/2014, Closing date: 15/05/2014.

The Informatics Institute at the University of Amsterdam invites applications for a fully funded position for a postdoctoral researcher in the area of reinforcement learning for telepresence robotics. The position is within the Intelligent Systems Lab Amsterdam and will be supervised by dr. Shimon Whiteson and dr. Maarten van Someren.

Application closing date: 15 May 2014

Starting date: 1 December 2014 (somewhat flexible)

Duration: 2 years

The research will focus on the development of new algorithms for discovering socially appropriate behavior for a semi-autonomous telepresence robot by integrating multiple sources of implicit feedback from the robot's environment. Doing so will require innovation in reinforcement learning, inverse reinforcement learning, semi-supervised learning, etc. The research will be conducted as part of a European project called “Telepresence Reinforcement Learning Social Robot (TERESA)”, which the University of Amsterdam coordinates and collaborates on with several other European universities and companies (see http://www.teresaproject.eu). The project aims to develop a socially intelligent semi-autonomous telepresence robot and successfully demonstrate its application in an elderly day center.

For further information, including instructions on submitting an application, see the official job ad at:

http://www.uva.nl/en/about-the-uva/working-at-the-uva/vacancies/item/14-134.html

Informal inquiries can be made by email to Shimon Whiteson
(--LOGIN--9b314614a9f9da8aad31dfa0b320fe22uva[dot]nl ).

• Contrato de Investigación con cargo al Proyecto “Desarrollos para experimentos de precisión utilizando trampas de iones: Física fundamental y aplicaciones” en la Universidad de Granada (Spain). Received: 10/04/2014, Deadline: 23/04/2014.

Requisitos:
Licenciado o graduado en Física, Ingeniero de Telecomunicaciones o Electrónico.

Funciones:
En el marco del proyecto de investigación al que se incorpora la persona contratada hará una participación en los experimentos que se llevan a cabo en Granada con trampas de iones y láseres. Mantenimiento de los equipos, supercondcutor, láseres y sistema de control. Participación en experimentos con la instalación SHIPTRAP en el GSI de Damstadt (Alemania).

Información y solicitudes: aquí

• Postdoctoral positions in neuroimaging and rapid decision making at Columbia University (USA). Received: 08/04/2014.

The Laboratory for Intelligent Imaging and Neural Computing (LIINC) at Columbia University has immediate openings for several Postdoctoral Research Scientists. Specifically these positions will contribute to our research program focusing on understanding the neural basis for rapid decision making in the human brain and using this understanding to build brain computer interfaces (BCI) for next-generation human-machine interaction.

Our approach leverages multi-modal neuroimaging, including a custom designed simultaneous EEG/fMRI system, to identify spatio-temporal cortical and subcortical networks underlying rapid decision making. Our analysis methods are deeply rooted in machine learning techniques, with a focus on using such techniques to enable single-trial analysis for correlating with decision variables. Applicants should have a background in one, and preferably several, of the following area: machine learning, neural signal processing, neuroimaging (EEG and/or fMRI), decision making, cognitive neuroscience and/or BCI. A Ph.D. in Engineering, Computer Science or Neuroscience is preferred.

LIINC (liinc.bme.columbia.edu) is in the Department of Biomedical Engineering at Columbia University and interacts closely with other departments at Columbia, including Electrical Engineering, Biological Sciences, Computer Science and Neuroscience. We are also a member lab of the newly formed Center for Neural Engineering and Computation (CNEC) at Columbia University (cnec.columbia.edu) as well as the Institute for Data Sciences and Engineering (idse.columbia.edu). Additionally, we are a member of the Cognition and Neuroergonomics Collaborative Technology Alliance (CaN CTA) which a collaborative research effort between the Army Research Labs, Academia and Industry. Postdoctoral Research Scientists will thus have the opportunity to broadly collaborate will other scientists in academia, industry and government, being part of one of the largest collaborative programs in real-world neuroimaging and brain computer interfaces.

Interested candidates should send via email their CV, three representative papers, the names of three references, and cover letter to Prof. Paul Sajda (--LOGIN--5ca4e5b38f7ad3c11426e87d932d3602columbia[dot]edu ).

Applications will be considered until the positions are filled. The position is for one year, with the option to renew for 2-3 years, given satisfactory performance and available funding.

• Three PhD studentships at University College London (UK). Received: 03/04/2014.

1: UCL/MSR-Cambridge/RVC: PhD in Vision-based Tracking of Quadrupeds

If you love computer vision and coding, and want to have major impact on science (and you are considered an EU-resident), please read on!

We have funding for an excellent student from the EU to complete a 3 year Computer Science PhD at University College London. The co-supervisors for this project are Jamie Shotton of Microsoft Research Cambridge who leads the Kinect pose-estimation effort, and Thilo Pfau & Andrew Spence, animal locomotion experts at the Royal Veterinary College in north London.

This PhD combines computer vision, machine learning, graphics, and biomechanics. Applicants will develop skills and make contributions in all these areas, but should already be fairly strong in one or two of them.

Under the interdisciplinary supervision of experts in computer vision, biology, and veterinary medicine, the student will both build computer vision systems and use these to investigate real outstanding scientific and clinical questions. On the vision side, we believe recent advances in understanding human shape and motion can be extended to work for quadrupeds. Animals are substantially different to humans in interesting ways, and we have identified many hard technical issues here. On the biological side, we aim to investigate how body morphology and the ultimate constraints of stability, energetic cost, and dexterity shape animal gait. On the clinical side, this studentship will make essential contributions to applying the developed techniques across species with the potential for large welfare and economic benefits. This project offers the student a rare opportunity to become a world expert, guided by top specialists in vision and biology, just when their respective strengths are ready to be exploited.

At UCL Computer Science, the PhD student will be based in Gabriel Brostow's group in central London. The student will make visits to collect data and run experiments to the RVC in North London, and will have opportunities to spend periods of time at MSR-Cambridge. The student is expected to work with other students and postdocs in our teams and with the larger cohort of researchers at the three sites.

Programming experience desired: high proficiency in one or more of Matlab / C++ / Python. The PhD is a time to learn new things, but the idealized candidate would have completed small projects with some combination of machine learning, GPU, Qt, OpenGL, and OpenCV-type libraries. As an example reference guide, see the topics covered in the Prince textbook, http://www.computervisionmodels.com/.

Application Instructions:
You'll need to submit an online application here as soon as possible: http://www.cs.ucl.ac.uk/admissions/phd_programme/applying/. (Deadlines listed there do not apply to funded studentships like this. Recruiting ends when we find the right person.) Please make sure to put Gabriel Brostow as the supervisor but you should also email me *now* (g.brostow at ucl.ac.uk) so we know to look out for your application (and please use the text “kinect4legs” in the Subject line).

2: UCL: PhD in Spatiotemporal Models of Retinal Images

If you love applying machine learning and want to help save babies from going blind (and you are considered an EU-resident), please read on!

We have funding for an excellent student from the EU to complete a 3 year Computer Science PhD at University College London.

This PhD combines machine learning, computer vision, and ophthalmology. Applicants will develop skills and make contributions in all three areas, but should already be fairly strong and excited about one or two of them.

The project aims to help clinicians screen for Retinopathy of Prematurity (ROP), an illness that causes blindness in premature babies when undetected. Read more about ROP further below. Our goal is to develop a model of how the retina looks over time a) when an eye is healthy, b) as ROP progresses, and c) as a result of laser treatment. The probabilistic generative model for these cases will be learned from image data of real patients.
Subsequently at test time, given image(s) of a premature baby's retina, we will be able to assess the probability that the baby is healthy or at-risk. This research will be a form of structured texture-synthesis, with algorithms and applications beyond “just” medical images.

Retinpathy of Prematurity (ROP): ROP is one of the few ophthalmic conditions in which a diagnosis to treat or not is urgent. Screening is essential, but difficult. A simple retinal camera is needed, but also expertise and experience. Even in middle-income countries where a camera is available, there are often not enough qualified ROP experts to examine all the at-risk babies. In low-income countries there is currently a large proportion of premature infants facing a lifetime of blindness from untreated ROP due largely to a lack of screening facilities. Preliminary research has revealed further challenges. A fairly universal international grading system is used by experts to grade the severity of a case. However, research has shown that experts do not tend to agree on the grading for each eye because there is no agreed model of disease progression.

At UCL Computer Science, the PhD student will be based in Gabriel Brostow's group. The co-supervisor is Dr. Clare Wilson, Paediatric Ophthalmologist at Great Ormond Street Hospital, and at UCL Institute of Ophthalmology. The research areas overlap and the student is expected to work with other students and postdocs in our team (http://web4.cs.ucl.ac.uk/staff/g.brostow/#Students) and the larger cohort of vision + machine learning researchers here. UCL is in central London, and is one of the top 3 groups for Vision/Learning/Graphics in Europe. For ophthalmology expertise, this is THE place to be.

Programming experience desired: high proficiency in one or more of Matlab / C++ / Python. The PhD is a time to learn new things, but the idealized candidate would have completed small projects with some combination of machine learning, GPU, Qt, and OpenCV-type libraries. As an example reference guide, see the topics covered in the Prince textbook, http://www.computervisionmodels.com/.

Application Instructions:
You'll need to submit an online application here as soon as possible: http://www.cs.ucl.ac.uk/admissions/phd_programme/applying/. (Deadlines listed there do not apply to funded studentships like this.) Please make sure to put Gabriel Brostow as the supervisor but you should also email me *now* (g.brostow at ucl.ac.uk) so we know to look out for your application (and please use the text “synthROP” in the Subject line).

3: UCL: PhD in multiview video analysis & special-effect synthesis

Our new project is co-funded by a large camera company and UCL's Impact Scholarship, and explores the research challenges of bringing Image/Video Based Rendering (IBR/VBR) into common use for content creators and action enthusiasts. Funding is limited to European Union applicants (sorry to everyone else)

This is an amazing opportunity to do your PhD on fun, hard, and direct-impact research problems. Whether or not you're the type of person who plays/watches sports, you will enjoy being able to work on projects that push forward machine learning / vision / graphics, and make beautiful-looking results (in part, by capturing action data in beautiful places).

The project and the studentships must start by September 2014, but applications are being considered now on a rolling basis. (i.e. the student should be signed up by summer-time) The existing funding is for a 3-year PhD (the typical length in the UK), but there is a chance of extending the funding to cover a 4th year of research, if things go well along the way.

At UCL, the PhD student will be based in Gabriel Brostow's group. The research area overlaps and the student is expected to work with others in the larger cohort of vision + graphics researchers here. We have some specific topics where innovation is needed:
- View interpolation
- Semantic texture synthesis
- Depth from intensity
- Video-texture synthesis
- Active Learning
- Video matting
- Video inpainting

Programming experience desired: high proficiency in one or more of Matlab / C++ / Python

Exposure to some of the following areas is a plus:
- 3D Acquisition
- Camera Calibration
- Machine Learning
- Texture Synthesis
- Content Creation / Visual Effects
- User Interface Development (e.g. Qt)
As an example reference guide, see the topics covered in the Prince textbook, http://www.computervisionmodels.com/.

About us:
UCL is in central London, and is one of the top 3 groups for Vision/Graphics/Learning in Europe. Our people are fun and productive :)

Application Instructions:
You'll need to submit an online application here as soon as possible: http://www.cs.ucl.ac.uk/admissions/phd_programme/applying/ but you should also email me (Gabriel Brostow) *now* so I know to look out for your application (and please use the text “smartVinterp” in the Subject line).

We only see the online applications after all your letters of recommendation etc. have arrived; we'll obviously prompt the CS Admission Panel to assess each batch of good applications that we're aware of. Good applicants in the past have had an MSc project in a related area, evidence of being productive in some detail-oriented domain, appetite for scholarly reading/writing, and enormous drive. If you're reading this, you're probably pretty smart/ambitious, but for a PhD, you also need to be enthusiastic, creative, and *very* persistent. Again, it pains me enormously that even great candidates from non-EU countries CAN NOT be considered for this funded studentship directly.

• Postdoctoral Position at the Research Centre in Information Technologies, University of Santiago de Compostela (Spain). Received: 03/04/2014, Deadline: 16/05/2014.

The Research Centre in Information Technologies of the University of Santiago de Compostela (CiTIUS) is seeking for one postdoctoral researcher for a two years period. The successful candidate will work in one of the following research projects:

- Big Data: efficient data storage, declarative querying and efficient data mining techniques that perform efficiently over Big Data collections of heterogeneous sensor data.

- Ambient Intelligence: development of algorithms for multisensorial data processing and scenes interpretation particularly gestural interaction, 3D tracking, objects recognition and context interaction.

- High Performance Computing: performance optimization of parallel applications on heterogeneous systems.

- Innovating in sensorized personal smart devices and weareables: development of smart systems with cognitive abilities, decisional autonomy, interaction capabilities and/or motion capabilities.

- Artificial Vision: design of low-power smart CMOS cameras with energy harvesting capabilities, 2D and 3D image acquisition and processing, design of distributed lightweight algorithms.

- Business Intelligence: data collection from sensorized devices, filtering and processing algorithms and development of added-value services.

- E-Health: development of tools for integration of multimodal information from multiple devices in order to perform an accurate diagnosis.

Details on the research objectives, specific required skills and procedure to apply can be found at:

https://citius.usc.es/novidades/noticias/job-offer-postdoctoral-position-citius

Deadline for applications: 16.05.14 at 23h59 CEST

• PhD position available at the University of Lincoln (UK). Received: 31/03/2014, Deadline: 15/05/2014.

A fully funded PhD is available at the School of Engineering, University of Lincoln, United Kingdom, to work under the supervision of Dr. Basabdatta Bhattacharya and Prof. Timothy Gordon.
The details and how to apply are available at:

https://sites.google.com/site/bsenbhattacharya/phd/fully-fundedphdstudentships

The Deadline for Application is 18th April 2014.
For informal enquiries please contact Basabdatta Sen Bhattacharya at --LOGIN--9ec2679afbfadfda1243e6a2a076148flincoln[dot]ac[dot]uk or at --LOGIN--a1f2525555c1ecaaf003a81edf88ac83ieee[dot]org .

A link to the advert on the University website is available at the link below; scroll down to the heading 'College of Science':
http://www.lincoln.ac.uk/home/studyatlincoln/postgraduateprogrammes/postgraduateresearch/studentships/

Note:
The full funding is for UK/EU students only. International students would need to provide the difference in fees as appropriate.

• A foundation professor in computational neuroscience at Monash University (Australia). Received: 27/03/2014, Closing date: 15/05/2014.

We seek to appoint a dynamic and talented principal investigator to lead the development of Computational Neuroscience at Monash University. The successful candidate is expected to have an internationally recognised track record of scientific achievement and demonstrable ability to build a cutting edge multidisciplinary research platform that will transform the landscape of computational neuroscience at Monash, within Australia and internationally.

This appointee will complement and integrate with experimental neuroscience researchers in the new Faculty of Biomedical and Psychological Sciences who work across a wide range of levels including single-unit recordings in non-human primates through to in vivo EEG and functional MRI in humans. These collaborations will leverage existing Monash University research platforms such as Monash Biomedical Imaging and the MASSIVE Supercomputing facility, as well as the newly established ARC Centre of Excellence for Integrative Brain Function to undertake novel, multi-disciplinary research programs.

An excellent remuneration package is available for both the principal investigator and their team.

Enquiries
Confidential enquiries should be directed to either

Professor Kim Cornish, Head of the School of Psychological Sciences, tel: +61 3 9902 0488 or email: --LOGIN--8dfa16480289ce0b73093cf62b68be8amonash[dot]edu

or

Professor Mark Bellgrove, Director, Research Strategy, School of Psychological Sciences, tel: +61 3 9902 4200 or email: --LOGIN--0f15a5137ec59a92d73d92d4a2a4491cmonash[dot]edu

Closing Date
Friday, 15 May, 2014, 11:55pm Aus. Standard Daylight Time

Applications
Expressions of interest, comprising a cover letter and CV should be submitted as part of your application.

The University reserves the right to appoint by invitation.

For details, please check
http://jobs.monash.edu.au/jobDetails.asp?sJobIDs=523000&lWorkTypeID=&lLocationID=&lCategoryID=641%2C+640%2C+636&lBrandID=&stp=AW&sLanguage=en

• Fully funded PhD position in computational neuroscience / complex system theory at Goethe University Frankfurt (Germany). Received: 25/03/2014, Deadline: 27/04/2014.

Applications are invited for a fully funded PhD position at the Institute for Theoretical Physics, Frankfurt University.

We are developing new models and generative principles for the brain using a range of toolsets from dynamical systems theory and computational neurosciences. Examples are new objective functions and generating functionals, attractor metadynamics, transient state dynamics and self-limiting Hebbian plasticity rules. Several subjects are available for the announced PhD thesis including studies of the autonomous brain dynamics and/or studies of new synaptic plasticity rules, like trace formulations of STDP and the interplay between short term synaptic plasticity and neural dynamics. The work will include analytical investigations and numerical simulations of neural models and neural networks, using the toolset of dynamical systems theory.

The candidates should have a Diploma/Master in physics with an excellent academic track record and good computational skills. Experience or strong interest in the fields of complex systems, computational neurosciences, dynamical systems theory and/or artificial or biological cognitive systems is expected. The degree of scientific research experience is expected to be on the level of a German Diploma/Master.

The appointments will start summer 2014, for up to three years.

Interested applicants should submit a curriculum vitae, a list of publications and arrange for two letters of reference to be sent to the address below.

Prof. Dr. Claudius Gros
Institute for Theoretical Physics
Goethe University Frankfurt
Max-von-Laue-Str. 1
60438 Frankfurt am Main
Germany
--LOGIN--d5322e7ab605792c0a2a6bc85d8bbc7ditp[dot]uni-frankfurt[dot]de

http://itp.uni-frankfurt.de/~gros

• Open Positions in Electrochemical and Thermal Energy Storage at CIC energiGUNE, Álava (Spain). Received: 25/03/2014, Closing date: 31/05/2014.

CIC energiGUNE is an energy storage research centre with headquarters in the Basque Country, which aims to achieve and maintain levels of excellence in all of its research areas of focus and become an international benchmark in its field. The centre has the backing of public institutions and administrations, and of companies directly related to the energy sector.

What we offer
CIC energiGUNE is now offering the opportunity to join us through a Marie Curie Individual Fellowship in the areas of:
- Electrochemical Energy Storage
- Thermal Energy Storage

How to apply
Candidates should have an excellent track record of research, they should demonstrate the ability to grow into scientific/technological leadership roles. Successful candidates will be hosted at CIC energiGUNE during the fellowship. The candidates should fulfil the mobility rule: Not have resided in the host country (Spain) for more than 12 months in the last 3 years.

Information on how to apply for application to Marie Curie Individual Fellowship can be found at European Commission Participant Portal, closing date to apply for a Marie Curie Individual Fellowship is 11th September 2014.

To apply for a position at CIC energiGUNE please send your CV, a summary of research interest and a cover letter to --LOGIN--e297f69f42e8f1c31e2e2b90f0c8da02cicenergigune[dot]com before 31st May 2014. Candidates must also provide the names and email address of at least 2 referees.

For more detail on CIC's research activities please visit our webpage:
www.cicenergigune.com

• PhD position in image analysis for behavioural tracking at Manchester Metropolitan University (UK). Received: 18/03/2014, Deadline: 13/04/2014.

Applications are sought for a 3 year, fully-funded PhD position (UK & EU nationals) in the lab of Dr Robyn Grant at Manchester Metropolitan University, UK.

Title: “Indicators of Neurodegenerative Disease revealed through Animal Behaviour: open source toolbox development for measurement of disease progression.”

Summary: A multi-disciplinary project developing image analysis tools for objective, non-invasive assessment of animal behaviour.
In particular, the project will focus on developing methods to quantify changes in patterns of locomotion and whisker movements resulting from neurodegenerative disorders such as Motor Neuron Disease, Huntingdon's Disease and ageing.

Candidates must have good programming skills (e.g. Matlab) and a strong motivation for research. Expertise of developing image analysis algorithms would be desirable, with an interest in animal behavior. The student will also receive training on image processing techniques and software development, alongside collecting animal behavior data.

For more details and to apply:
http://www.findaphd.com/search/ProjectDetails.aspx?PJID=53553&LID=1837

For all inquiries, contact Dr Robyn Grant: --LOGIN--92ea5be9dd87da070cafaea8eb83fcf4mmu[dot]ac[dot]uk

• PhD in Cognitive Robotics at Queen Mary University of London (UK). Received: 17/03/2014, Closing date: 11/04/2014.

We are looking for an exceptionally motivated and creative PhD student to develop software based on the computational principles of the human brain. We wish to get closer to a future where computers can have values, are creative, and can understand the world. Our long-term goal is to exceed human intelligence. We’re looking for exceptional people to join us. If you want to work on the most important problems in the field with an international team who will challenge and support you, then this PhD is for you. We prefer you have a Masters in a relevant area, although we consider gifted applicants with other backgrounds. Good programming skills, and a solid foundation in maths is desirable. Knowledge of cognitive science and an interest in neuroscience is a plus. A willingness to learn about Deep Belief Networks, Reinforcement Learning and Machine Learning is important.

The PhD is funded from EPSRC is for 3.5 years and will cover student fees and a tax-free stipend starting at £15,726 per annum. Further details of the EPSRC scheme see (www.epsrc.ac.uk/skills/students/dta/Pages/dta.aspx) including terms and conditions. Applicants must be UK nationals or residents as defined here: www.epsrc.ac.uk/skills/students/help/Pages/eligibility.aspx

Candidates should have a first class honours degree or equivalent, or a strong Masters Degree, in Computer Science or a related field, preferably with some experience in independent creative thinking, and working as a group.

Please send enquires to Dr. Chrisantha Fernando at --LOGIN--862dfc5d5cbdce3bb24a2fc02039e1bcqmul[dot]ac[dot]uk or Skype chrisantha-f for an informal chat.

To apply please follow the on-line process (see www.qmul.ac.uk/postgraduate/apply) by selecting “Computer Science” in the “A-Z list of research opportunities” and following the instructions on the right hand side of the web page.

Please note that instead of the 'Research Proposal' we request a 'Statement of Research Interests'. Your Statement of Research Interest should answer two questions: (i) Why are you interested in the proposed area? (ii)What is your experience in the proposed area? Your statement should be brief: no more than 500 words or one side of A4 paper. In addition we would also like you to send a sample of your written work. This might be a chapter of your final year dissertation, or a published conference or journal paper. More details can be found at: www.eecs.qmul.ac.uk/phd/apply.php

The closing date for the applications is 11th. April 2014

Interviews are expected to take place in week of 14th. April 2014

• Postdoctoral fellowship positions in Statistical Inference in Big Data at the Fields Institute, Toronto (Canada). Received: 15/03/2014, Deadline: 01/06/2014.

Applications are invited for postdoctoral fellowship positions with the planned Program on Statistical Inference in Big Data, January to June 2015, at the Fields Institute, Toronto. The fellowships provide for a period of engagement in research and participation in the activities of the Institute. They may be offered in conjunction with partner universities, through which a further period of support may be possible.

List on the cover sheet of the application any faculty members, at universities affiliated with the Fields Institute, who you believe are appropriate. You are encouraged to apply directly to these other institutions as well.

One of the postdoctoral fellows for the six-month program will be awarded the Institute's prestigious Jerrold E. Marsden Postdoctoral Fellowship. This pays a full stipend and provides for a six-month period at the Institute for research and participation in the activities of the thematic program with no teaching required. In addition to the stipend, a $1,000 (Cdn) research grant will be available during the tenure of the award.

There may also be a number of two year positions available connected to the Fields-Ontario fellowship. These fellowships involve a semester at Fields and 3 semesters at one of Fields' Principal Sponsoring Universities (PSU). To apply for the two year fellowship please indicate your interest on the cover sheet and include the names of faculty members at Fields Principal Sponsoring Universities who may be appropriate as supervisors. The Fields PSU's are: Carleton University, McMaster University, the University of Ottawa, the University of Toronto, the University of Waterloo, the University of Western Ontario, and York University.

Eligibility:
Qualified candidates who will have a recent PhD in the area of the Program or a related area of the statistical, computational or mathematical sciences are encouraged to apply.
Deadline to apply is June 1, 2014. Fellowship positions are conditional on funding for the Program. Late applications will also be accepted until the positions are filled.

Apply:
https://www.mathjobs.org/jobs/jobs/5748

• 25 Contract positions for postdoctoral researchers at Ikerbasque, Bilbao (Spain). Received: 12/03/2014, Deadline: 31/03/2014.

Ikerbasque, the Basque Foundation for Science has launched a new call for researchers wishing to come to the Research Institutions in the Basque Country.

These Fellowships are intended to offer young promising researchers a track towards a PI role and independent research.

The applicants must have their PhD completed between 1/1/2004 and 31/12/2011. This eligibility period will be extended under special circumstances such as maternity.

5 years contract. Researchers in their 4th year can apply for the Ikerbasque Research Professor call to be eligible for a permanent position.

Support letter from the PI of the host institution/department/ group is mandatory. If the group belongs to UPV/EHU, the letter should fulfill the model established by the university (available here). Please check this point with the hosting group.

This call is cofinanced by the 7th Framework Programme of the European Commision; at least 75% of the positions will be awarded to candidates who meet the Marie Curie international mobility criteria, meaning the applicant has not lived, worked or studied in Spain for more than 12 months out of the three years immediately prior to the time of application.

Researchers with a permanent position in the Basque Country are not eligible under this call.

Candidates can only apply to one of the annual Ikerbasque calls, Research Professors or Research Fellows.

Further details about this call and Evaluation Process are available in the Call Specifications

• Research Fellow (Tenure) position in Computational Neuroimaging at Ikerbasque, Bilbao (Spain). Received: 10/03/2014, Deadline: 31/03/2014.

One position for “Ikerbasque Research Fellow” will be host by the new emerging group of Computational Neuroimaging in Biocruces.
http://www.biocruces.com/l1003

More information about the position, “Ikerbasque Research Fellow” at
http://www.ikerbasque.net/fellows

More information about Biocruces
http://www.biocruces.com/

Interested researchers must contact me before March 15th, 2014.
Feel free in contacting me for any further question or comment.
Provide a copy of an updated CV remarking best 5 publications.

Prof. Jesus M Cortes
--LOGIN--6ae5bf0693740898649f57e32c66bb61gmail[dot]com

• Open Postdoc positions at Bernstein Center Freiburg (Germany). Received: 07/03/2014.

1 - PostDoc position on computational models of dopamine neuromodulation

One PostDoc position is available from the Cluster of Excellence BrainLinks-BrainTools in Freiburg (Germany) in the research groups of Robert Schmidt and Arvind Kumar located at the Bernstein Center Freiburg.

The project is focused on studying the effect of dopamine on the basal ganglia network dynamics and on motor output. In particular, simulations of basal ganglia circuits will be used to characterize the functional role of dopamine through the complex modulation of membrane and synaptic properties of striatal cells. The results of this project are expected to contribute to develop new treatment strategies for akinesia, rigidity, bradykinesia and levodopa-induced dyskinesia in Parkinson's Disease.

The ideal candidate has a strong background in computational neuroscience demonstrated by peer-reviewed publications. Advanced programming skills (e.g. Matlab or Python), high motivation and a vivid interest in neuroscientific research are mandatory. Experience in the analysis of neurophysiological data and computational modelling is expected.

The position is initially for one year (100% TV-L E13) and can be extended to a total of 30 months after successful internal evaluation of the project. Please send a single PDF containing your CV, and a scientific research statement (max. 2 pages) to --LOGIN--5c03c1512fdab549c35539b997251036brainlinks-braintools[dot]uni-freiburg[dot]de . In addition, please arrange 2-3 referees to send their recommendation letters directly to the same e-mail address. Application deadline is the 31st March, 2014 and the position starts latest October 2014.

Further details on: www.bcf.uni-freiburg.de/jobs

2 - Postdoc Position on Structure and Dynamics of Cortical Networks in the Computational Neuroscience lab of Prof. Stefan Rotter

Our goal is to understand the interplay between network topology and spiking activity dynamics in the neocortex and other parts of the mammalian brain, and to explore the possibilities and constraints of dynamical brain function. Our main tools are mathematical/numerical network modeling and statistical data analysis, often used side by side within the framework of stochastic point processes and statistical graph theory. In collaboration with physiologists and anatomists, we seek to develop new perspectives for the model-based analysis and interpretation of neuronal signals.

We are a young group of researchers from mathematics, physics, computer science and biology and invite applications to join the lab for a 2-3 year PostDoc project, and to enter the PostDoc program in Computational Neuroscience at the Bernstein Center Freiburg.

Please apply online via our online application form and indicate “Rotter” as preferred project. Applications are accepted until the position is filled.

Further details on: www.bcf.uni-freiburg.de/jobs

3 - Postdoc position in Non-Clinical Epilepsy Research in the Biomicrotechnology lab of Prof. Ulrich Egert

We are currently offering a Postdoc position (2 years) in the Laboratory for Biomicrotechnology (http://www.bcf.uni-freiburg.de/people/details/egert) at the University of Freiburg.

The project investigates mechanisms underlying mesiotemporal lobe epilepsy from the perspective of the dysfunction of interaction between subnetworks in the hippocampal formation (Froriep et al. 2012, Epilepsia). We aim to use targeted stimulation to reduce the circuit's susceptibility for seizures.

It is essential that you have a background in neuroscience, ideally in experimental neurophysiology in vivo as well as a PhD degree. You should further be competent in data analysis and have an affinity for the network perspective.

The project is part of the Cluster of Excellence “BrainLinks-BrainTools” (www.brainlinks.uni-freiburg.de) together with the Bernstein Center Freiburg (www.bcf.uni-freiburg.de) and will combine neurophysiology, computational neuroscience and neurotechnology.

Please apply online via our online application form and indicate “Egert” as preferred project. Applications are accepted until the position is filled.

Further details on: www.bcf.uni-freiburg.de/jobs

4- Postdoc position in Neurotechnology & Computational Neuroscience in the lab of Prof. Stefan Rotter

We are looking for a postdoctoral researcher to join an international team of scientists and engineers in the NeuroSeeker project (see http://www.neuroseeker.eu/). The goal of the project is to develop and apply new methods and software to improve the yield of novel high-resolution probes for recording activity from many neurons simultaneously.

Candidates should hold a PhD in physics, applied mathematics, computer science or biology, with proven experience in software engineering and user-oriented application programming (C++ and/or Python). Specific knowledge and scientific publications in the fields of “statistical analysis of neuronal data” and/or “numerical methods and data structures in the neurosciences” are a requirement.

Funding is already available, starting date is negotiable.

Please apply online via our online application form and indicate “Rotter” as preferred project. Applications are accepted until the position is filled.

Further details on: www.bcf.uni-freiburg.de/jobs

• Vacante de ayudante de investigación en el European Centre for Soft Computing (Spain). Received: 06/03/2014, Closing date: 15/03/2014.

Vacante de ayudante de investigación disponible en la Unidad de Aplicaciones de la Lógica Fuzzy y Algoritmos Evolutivos

El European Centre for Soft Computing solicita un ingeniero de I+D para desarrollo de herramienta de simulación en la que se utilice modelado con agentes.

Perfil solicitado:

Ingeniero Superior/Master en Informática, Telecomunicaciones o Industrial

Descripción:

La unidad de Aplicaciones de Lógica Difusa y Algoritmos Evolutivos ofrece la oportunidad de trabajar en una nueva línea de investigación que requiere la implementación de una herramienta de simulación basada en modelos de agentes. Se requerirá al candidato que tenga conocimientos de estadística, big data, análisis de redes sociales y/o economía y marketing.

Requisitos imprescindibles:

- Conocimiento amplio en técnicas estadísticas y probabilísticas, y validación en modelos.
- Conocimientos y experiencia demostrable en programación y acceso a bases de datos, preferiblemente Java.
- Conocimientos en simulaciones basadas en agentes y simulación social.

Se valorará positivamente:

- Conocimientos básicos de mercados y marketing.
- Análisis de redes sociales y grafos.
- Conocimientos de algoritmos de minería de datos o big data.
- Conocimientos y experiencia en plataformas de ABM como Mason, Netlogo o Repast.
- Experiencia previa en proyectos de I+D o de temática similar.
- Inglés alto (hablado y escrito).
- Doctorado.

Condiciones generales:

- Incorporación inmediata.
- Duración del contrato: 12 meses, prorrogables en función de los resultados del proyecto.
- Dedicación: completa.
- Salario: 20.000 € más variables según valía y desempeño.

Interesados enviar CV y carta de presentación a la dirección
--LOGIN--76f710ef767b4e577154ab686cc4f88fsoftcomputing[dot]es

Fecha límite: 15 de Marzo de 2014

• Two faculty openings in Big Data Science at Imperial College London (UK). Received: 02/03/2014, Closing date: 26/03/2014.

Two faculty positions in Big Data Science are available at the Assistant Professor / Associate Professor level at the Department of Electrical and Electronic Engineering, Imperial College London, UK.

If you are interested, please find more detail from

http://www.jobs.ac.uk/job/AIF563/lecturer-senior-lecturer-reader/

The closing date is 26 March 2014.

• Post-doc in machine learning at the University of Chicago and TTIC (USA). Received: 26/02/2014.

Post-Doc: Machine Learning Applied to the Social Sciences

Applications are sought for an NSF-funded post-doctoral positions in machine learning applied to the social sciences with James Evans from the University of Chicago and Nathan Srebro from TTIC and the Technion.

Post-docs will be associated with Knowledge Lab (www.knowledgelab.org) in the Computation Institute (www.ci.uchicago.edu) at the University of Chicago (www.uchicago.edu), one of the leading research universities in the United States, and with the Toyota Technological Institute at Chicago (TTIC, www.ttic.edu), an elite computer science institute located on the University of Chicago campus, and supervised by Prof. James Evans of the University of Chicago and Prof. Nathan Srebro of TTIC and the Technion. Position are for 2-3 years, contingent on annual reappointment.

The aim is to develop and apply machine learning methods, including active learning, matrix learning and collaborative learning, to information gathering methods in the social sciences. Applicants are expected to have strong qualifications in machine learning or related fields, and will be introduced to social science research. They will have the opertunity to work with other post-docs, researchers and students in the social sciences, while being part of the vibrant machine learning group at TTIC. Minimum qualifications for this position are a PhD or expected PhD (by the end of 2014) in computer science, applied mathematics, statistics or a related field, with background in machine learning. Women and members of underrepresented groups are encouraged to apply.

Interested candidates must submit to --LOGIN--2617476d2123fa608a8b5938b8f73233ci[dot]uchicago[dot]edu :
1) cover letter, describing your interest in and qualifications for pursuing interdisciplinary research;
2) curriculum vitae (including publications list);
3) contact information for three or more scholars who know your work and are willing to write letters of reference;
4) optionally, examples of working software you have written.

Positions can begin immediately or anytime through Fall 2014.
Compensation includes a competitive salary and benefits plan and assistance with relocation to Chicago.

• Open PhD positions in experimental and computational modeling at the University of Western Sydney (Australia). Received: 25/02/2014.

Funding is available for two PhD students.

We seek graduate students to work on studies of Motor and Cognitive Processes in patient populations, including Parkinson’s disease, schizophrenia, drug addiction, among others. This is part of various thesis projects leading towards a PhD.

Applicants with interest in either experimental or computational modeling research are encouraged to apply.

Computational modeling work involves building abstract mathematical models of learning, cognition, and decision making as well as neural network models that integrate neuroscience data.

Experimental studies focus on testing cognitive function in various patient populations as well as behavioral neurogenetics and fMRI studies in collaboration with various labs around Sydney. Testing of subjects will take place at University of New South Wales, Sydney University, and/or other hospitals in Sydney CBD.

The lab is located in Bankstown, a suburb of Sydney.

For any questions, feel free to contact Dr. Ahmed Moustafa at
--LOGIN--e3900834ad9b6900fb97dd9c02d617c1uws[dot]edu[dot]au

• Two postdoc positions in Neurorobotics and HRI NLP at Plymouth University (UK). Received: 24/02/2014, Closing date: 14/03/2014.

Plymouth University - Centre for Robotics and Neural Systems

Two post-doctoral research fellows are required for a period of up to 20 months to work on the FP7 funded collaborative projects “ROBOT-ERA http://www.robot-era.eu/: Implementation and integration of advanced Robotic systems and intelligent Environments in real scenarios for the ageing population” and “POETICON++ http://www.poeticon.eu/: Robots Need Language”.

The two posts will focus on:

POETICON++ Research Fellow: You will carry out research on computational neuroscience modelling of action and language learning.
http://www.jobs.ac.uk/job/AIE133/postdoctoral-research-fellow-poeticon-project/

ROBOT-ERA Research Fellow: You will implement and evaluate the Human-Robot Interaction and Natural Language Interfaces (e.g. programming of automatic speech recognition system) for a service robot. Expertise on Human-Computer Interaction is also welcome.
http://www.jobs.ac.uk/job/AIE465/postdoctoral-research-fellow/

The applicants must have a PhD in Robotics, Computer Science, Artificial Intelligence or related disciplines. Expertise in one or more of these fields is essential: Human-Robot Interaction, Natural language processing, Cognitive robotics, Computational Neuroscience. Excellent programming skills are essential. The start date will be 1 May 2014 (or as soon as possible after this date, subject to negotiation) and the contract will last until 31 December 2015.

The appointees will be working collaboratively as part of a larger inter-disciplinary research team at the School of Computing and Mathematics and the Centre for Robotics and Neural Systems, under the supervision of Professor Angelo Cangelosi and Professor Tony Belpaeme. You will also collaborate with the other European and international partners of the ROBOT-ERA and POETICON++ consortium.

Informal enquiries regarding the post, the project or the research details can be made to Prof Angelo Cangelosi (--LOGIN--fb1dcf975bc5cffeca183d4a22cfdbc1plymouth[dot]ac[dot]uk or +44 1752 586217) for Poeticon++ and to Prof Tony Belpaeme for ROBOT-ERA (--LOGIN--6fc89bf022f780fea3d59802507dbef0plymouth[dot]ac[dot]uk ).

APPLICATION CLOSING DATE: THURSDAY 14 MARCH 2014

INTERVIEWS WILL BE ON 1 APRIL 2014

• 25 Researcher Positions at Ikerbasque Foundation (Spain). Received: 20/02/2014, Deadline: 31/03/2014.

The Ikerbasque Foundation opened a Call for 25 5-year contracts for Promising Researchers (Ikerbasque Research Fellows). Please see www.ikerbasque.net for details. The application deadline is Mar 31.

In particular, Prof. D. Conklin could prepare a letter of support for an outstanding researcher in the area of (symbolic) Music Informatics, at the Department of Computer Science and Artificial Intelligence, University of the Basque Country, San Sebastián, Spain.

The research fellow would have great opportunities to contribute and develop novel research lines within the new EU FP7 Project Lrn2Cre8.

Candidates will have a PhD degree awarded within 2004-2011, an excellent research track record, and a background or deep interest in developing several of the areas:

- music generation and style emulation
- machine learning and music
- statistical models for music
- computational/algorithmic musicology
- music analysis (harmonic, motivic, Schenkerian)
- corpus-based musicology
- symbolic music classification
- stochastic optimization and sampling from statistical models

Interested candidates should consult Prof.D.Conklin profile on the web page below and then send an expression of interest (CV, research proposal, etc.) by Mar 1.

Darrell Conklin
--LOGIN--2ade5261294b30e34980494c005c3223ehu[dot]es
www.ehu.es/cs-ikerbasque/conklin

• PhD Studentships in music computing at the Open University, Milton Keynes (UK). Received: 19/02/2014, Closing date: 31/03/2014.

The Open University has fully funded full-time PhD studentships available from Oct 2014.

I am interested in hearing from candidates in music computing, particularly for combinations of the following topics, but students are free to choose an area.

Music and emotion
Music and narrative
Computational Musicology
Musical Pattern Discovery
Music Generation
Music for Computer Games
Collaborative Music Environments
Musical Tabletops

A separate topic that might be of interest, and draw on some of the same themes and technologies, is the use of ubiquitous technology in group conflict resolution.

Please contact Dr Robin Laney (--LOGIN--d7f0cbc7627cece957e5b61cd05b697fopen[dot]ac[dot]uk ) for an informal discussion and advice on constructing a proposal.

Applications should comprise an application form, a CV and a PhD proposal. Application forms and general advice on PhD proposals can be found at:

http://www3.open.ac.uk/study/research-degrees/explained/how_to_apply/mphil_and_phd_application_process.htm

Closing date: March 31st 2014.

The Open University is incorporated by Royal Charter (RC 000391), an exempt charity in England & Wales and a charity registered in Scotland (SC 038302).

• Two researcher positions in Machine Learning and Computer Vision at Imperial College London (UK). Received: 14/02/2014, Deadline: 27/02/2014.

Two researcher positions are available at the Personal Robotics laboratory of Imperial College London; one is at the postdoctoral level and one at the doctoral level. The successful candidates will work under the supervision of Dr Yiannis Demiris (www.demiris.info) within the context of a new EU FP7 STREP project WYSIWYD (What you Say is What you Did), which started in January 2014 and will run for three years. The project aims at developing humanoid robot systems capable of open-ended learning of sensorimotor and cognitive skills during multimodal interaction with humans.

The positions offer an exciting interdisciplinary topic and an excellent working environment in one of the world’s top research universities; the positions are available immediately, and will run until the end of the project in December 2016.

Candidates with strong background in one or more of: computer vision, human action understanding, humanoid robot control, and machine learning are encouraged to apply. Strong computing and mathematical skills are a must, along with a strong desire to see your algorithms working on real robots.
Details about the positions, key responsibilities, ideal person specifications, and the application procedure that needs to be followed can be found at the lab’s webpages:
www.imperial.ac.uk/personalrobotics
(click on Join us)

Deadline for receipt of applications is the 27th of February 2014.

• Researcher/engineer Position in audio DSP at AudioGaming (France). Received: 14/02/2014.

We are looking for an audio DSP researcher/engineer to join our R&D team in Paris/Toulouse, France.

As a DSP researcher/engineer, your will be integrated in our R&D projects and be responsible for the following tasks:

- developing AudioGaming's DSP framework and carrying out related unit tests in C/C++
- prototyping on sound analysis/synthesis technologies in Python and C/C++

The profile requirements are:

- Ph.D. specialized in audio signal processing or related fields
- Good Experience in C/C++ implementation of audio signal processing
- Good skills in Python
- Good knowledge of audio technologies and products
- Experience in developing audio plugins or applications is a plus
- Never been hired for a permanent position (CDI) in France is a plus
- European citizenship is a plus as it simplifies procedures

Interactive audio at AudioGaming

AudioGaming is leading the future of post-production sound design. We are developing innovative audio technologies and creative audio tools for professional studios. Our products have been used for the sound design of “Django Unchained” and our technologies have been embraced by the innovative Seaboard maker ROLI. Honorably titled winner of innovation in France, AudioGaming's ambition is to develop interactive audio technologies that have never been available.

If you are passionate in joining AudioGaming, please send your CV and cover letter to --LOGIN--286e827dc9b27405b8e9bf2204748455audiogaming[dot]net with reference code AG-RDAudio-01.

• PhD position in music and movement research at the University of Jyväskylä (Finland). Received: 14/02/2014, Deadline: 12/03/2014.

PhD position in the project Dynamics of Music Cognition at the University of Jyväskylä, Finland.

The posts is tenable from August 1, 2014 and the initial appointment will be until December 31, 2016. Renewal of the appointment, up to a total of 48 months, will be contingent upon performance and continuation of adequate funding.

Application deadline is March 12, 2014.

The selected candidate is expected to work on corporeal dynamics of music cognition within the project Dynamics of Music Cognition. The research will involve measurement of movement with an optical Motion Capture system and subsequent analyses and modelling of the data. The selected candidate should have a master’s degree or equivalent in musicology, psychology, computer science, biomechanics, or a similar area. Basic skills in programming (Matlab or similar), statistics, mathematics and physics are required, as well as interest in movement research and music. Knowledge in signal processing, biomechanics, or psychology would be considered an advantage.

For more details, see:

- the official PhD position announcement
https://www.jyu.fi/en/news/archive/2014/02/tiedote-2014-02-11-15-49-57-502659

(N.B. In practice, foreign researchers are exempted from the Finnish language proficiency requirements specified in the announcement.)

- additional information about the position, the research group and the project
https://www.jyu.fi/hum/laitokset/musiikki/en/research/academyprofessorship/PhDPosition

Inquiries:
Academy Professor Petri Toiviainen, email: --LOGIN--bf16672c31e4b842cd540ad58b09f695jyu[dot]fi
Project researcher, PhD Birgitta Burger, email: --LOGIN--45cdeb00b1170faed4dc6892def65397jyu[dot]fi

• Ingeniero de Visión por Computador en bq, Madrid (Spain). Received: 13/02/2014.

- Descripción de la oferta:

Mediante la presente oferta de empleo pretendemos incorporar ingenieros de software al equipo de desarrollo para nuestros dispositivos. En concreto buscamos un candidato con capacidad de desarrollar aplicaciones en sistemas embebidos e implementar algoritmos de visión por computador estrechamente relacionados con el hardware de nuestros futuros productos.

Buscamos profesionales capaces de mantener los valores de nuestra compañía y sumar talento que nos ayuden a lograr nuestros objetivos de crecimiento.

Buscamos profesionales que no sólo tengan una base sólida si no que se sientan pieza clave del proyecto. Personas íntegras, capaces de solucionar conflictos, capaces de conseguir que el trabajo salga adelante; con juicio y sabiduría, estableciendo relaciones personales y pensando constantemente en maneras de mejorar personalmente y el equipo. Una persona que se sienta orgullosa de un producto que van a usar miles de personas.

- Responsabilidades:

· Incorporarse a un equipo ingenieros especializado en el desarrollo de dispositivos hardware / software.
· Desarrollar software de visión por computador en diferentes ámbitos del producto: integración, framework y aplicaciones.
· Desarrollo de aplicaciones relacionadas con productos clave de nuestra compañía.
· Participar en el ciclo completo de desarrollo de una aplicación: definición de requisitos, desarrollo, seguimiento, pruebas...
· Colaborar con diferentes equipos de ingeniería para alcanzar los objetivos de calidad deseados.

- Requisitos:

· Experiencia con sistemas y algoritmos de visión 3D.
· Conocimientos altos de C/C++.
· Conocimientos de OpenCV y OpenGL.
· Conocimientos de GNU/Linux.
· Conocimientos de GIT.
· Ingeniero Técnico o Superior en Informática, Telecomunicaciones o Industrial.
· Nivel medio-alto de inglés hablado y escrito.
· Atención extrema al detalle y habilidad para la auto exigencia.
· Experiencia en proyectos desarrollados de manera iterativa.
· Excelente capacidad verbal y escrita.
· Excelente capacidad de trabajo en equipo.

- Se valorará:

· Experiencia con sistemas embebidos.
· Conocimientos de Python.
· Desarrollo de proyectos extra-universitarios (open source).
· Perfil maker.

- ¿Por qué trabajar en bq?

En bq estamos convencidos de que llegaremos a ser una empresa destacada dentro del sector de la electrónica de consumo mundial. Actualmente bq es la marca de electrónica de consumo líder en España en dispositivos móviles Android (smartphones, tablets, e-readers), Impresoras 3D y robótica educativa.

Nuestra plantilla viene creciendo fuertemente desde nuestros orígenes y en la actualidad somos más de 500 personas de diversas nacionalidades donde más del 50% se dedica a labores de ingeniería.

El motor de nuestra continua innovación y capacidad de adaptación al mercado es el talento de nuestros empleados y nuestra cultura de empresa. Nuestra obsesión es alcanzar la excelencia en los productos que hacemos.

Más información:
Jesús Arroyo (--LOGIN--d68780de3690132874862ac7e4ea34a3bqreaders[dot]com )
Dpto. Innovación y Robótica
Tlf.: +34 91 787 67 07 | Ext: 1810
www.bqreaders.com

• Faculty positions in Neuroscience and Systems Biology at IMBB-FORTH, Crete (Greece). Received: 12/02/2014, Deadline: 25/04/2014.

The Institute of Molecular Biology and Biotechnology announces two (2) Researchers Positions, level B (Principal Researcher, equivalent to Associate Professor) or level C (Assistant Researcher, equivalent to Assistant Professor) in the following research fields:

- SYSTEMS BIOLOGY
- NEUROSCIENCES

Principal and Assistant Researchers should have a PhD degree and substantial postdoctoral experience. Particular emphasis will be given to multidisciplinary approaches towards addressing exciting questions in modern Biomedical Research. Successful applicants are expected to broadly interact with scientists at IMBB and other Institutes of FORTH, and ultimately establish strong and externally funded research programmes at IMBB.

Candidates should submit:
1. Detailed CV
2. Summary of research interests
3. Three names of referees, researchers or professors (contact details and e-mail address)

In addition to the above, a set of reprints should be provided electronically in pdf format.

Submission of relevant documents / Communication:
- Electronically, by e-mail at --LOGIN--fc1d11b3f43ae7363eb39c3462011fedimbb[dot]forth[dot]gr

Deadline for Applications: 25 April 2014

The Foundation for Research and Technology-Hellas (FORTH) is one of the top European Research Centers. It has ranked 1st in terms of high impact publications in Greece and 12th in the number of FP7 grants in Europe. Importantly, FORTH researchers have been awarded 1/3 of the prestigious and highly competitive ERC grants given to Greece since the beginning of the program in 2007.

The Institute of Molecular Biology and Biotechnology (IMBB) at FORTH is the top Biological Institute in Greece, in terms of high quality personnel, publications, infrastructure and competitive grants. IMBB-FORTH is located in Heraklion, one of the most ancient and historical Greek cities, on the picturesque island of Crete. Crete, the homeland of major artists, such as El Greco and Nikos Kazantzakis, impressively combines the outstanding geophysical variety (forests, mountains, gorges, and beaches) with its rich history of thousands of years, resulting in the well-known Cretan culture and cuisine.

• Postdoc position in drone learning at University of Toulon (France). Received: 12/02/2014.

2 years postdoctoral position are now available at UMR CNRS LSIS - University of Toulon (France).

The candidate will be involved in SYCIE project : a drone co-planification and adaptive perception / interaction with PROLEXIA, IFREMER & DCNS as detailed at:
http://www.polemermediterranee.com/Securite-et-surete-maritime/Surveillance-et-interventions-maritimes/SYCIE

The SYCIE project objective is to develop a planning, simulation and supervision system for new generation, multi-mission autonomous vehicles. They will ensure mission effectiveness in harsh environmental conditions whilst minimizing the impact on the environment, executing complex high-level tasks, collaborating with other vehicles, planning / replanning their mission.

We are seeking for a highly motivated postdoctoral candidate in one of the related topics:
* Machine Learning / optimization
* Semi-supervised learning / ranking
* Multi-objective planification
* Perception learning
* Drone application

Application:
Please send (in a unique SYCIE_yourname.pdf) to = sycie.utln@gmail your detailed CV + biblio + your motivation letter + URLs to your two most relevant publications + URL to your Phd.
You can apply for only one year if you prefer. Programming skill (Python, matlab, C...) is desirable.

Place:
The position is at UMR CNRS LSIS in Provence - Toulon campus, few minutes far from Prolexia, DCNS or IFREMER, yielding to an excellent academic-industrial collaborative framework. The DYNI team is a research environment which has been providing significant contributions in multimodal perception, tracking optimization and machine learning. The campus situation is detailed at http://www.univ-tln.fr. The salary is 2075 euros / month after taxes.

• PhD studentships in Metamaterials at University of Exeter (UK). Received: 12/02/2014.

The University of Exeter invites applications for 4-year fully-funded PhD studentships as part of its EPSRC Centre for Doctoral Training in Metamaterials. This new centre-of-excellence ,“XM2”, will act as a hub of international and industrial collaborations, training scientists and engineers with the relevant skills, knowledge and professional attributes to transform the exploitation of metamaterials across industry and academia.

We invite applications from independently-minded undergraduates that have demonstrated excellence at the undergraduate level in a relevant subject. Applicants should have an interest in electromagnetics, acoustics, nanotechnology and/or materials science, and are expected to demonstrate creativity and be open-minded to collaborative work and innovation.

Full scholarships (up to 18 per year), including a stipend to cover living expenses and fees, are available to UK students at standard EPSRC rates. A small number of these may also be available to EU and International students. Industry-orientated studentships may also include a top-up to the stipend.

Metamaterials have properties beyond those found in nature, and have found application across the electromagnetic and acoustic domains. We will run projects ranging from fundamental explorations of physics through to device design. Our students will research a wide range of metastructures spanning 10 orders of scale, from quantum considerations on the atomic scale through to plasmonics and biomimetics and the manufacture of novel composites at the nano-scale. From the control of electron spin (spintronics) and magnonics, to the centimetre and millimetre scale in both acoustics and the RF and microwave regimes.

XM2 is interdisciplinary in nature, with projects taking place across Physics and Engineering.

Our core themes are:

Plasmonics and graphene photonics including localisation of light at the nanoscale, graphene-based detectors and sources and energy harvesting.

Natural photonics including the exploration of metastructures and the biomimetics of natural structures.

THz and Microwave metamaterials including tuneable structures, imaging, surface waves, absorbers, energy harvesters and antennas.

Magnonics and magnetic metamaterials including spintronics and magnetodynamics.

Acoustic metamaterials including airborne and SONAR, metasurfaces, composite materials and absorbers.

Spatial transformations including the application of theory to electromagnetic and acoustic problems.

Nanomaterials and nanocomposites including carbon-based structures and nanocellulose.

The first year of the studentship includes a mini-project, and a substantial programme of training. Students will choose from a wide range of taught modules, and participate in academic and personal development skills-based workshops, together with creativity events and conference-style meetings. Students will also be expected to disseminate their results to the international community via high-impact publications and international conferences. They will spend time working with our partners at international universities, research institutes, and industry.

The University of Exeter is a top 10 UK university, and a member of the elite Russell Group of institutions. The University has committed itself to a substantial expansion in its science base and within Physics and Engineering, £10m has been spent on infrastructure since 2008 and the fields of electromagnetic materials, nanomaterials and graphene have seen 20 new academic staff appointed

Further information can be obtained by e-mail to --LOGIN--4e95aa4ec4b216e76e059ead2c6e4266exeter[dot]ac[dot]uk or by visiting our website, www.exeter.ac.uk/metamaterials

• Two PhD positions in Visual Psychophysics and Computational Neuroscience at the Institute of Vision, Paris (France). Received: 11/02/2014, Deadline: 15/03/2014.

Two fully-funded PhD positions in Visual Psychophysics and Computational Neuroscience

Job description
Applications are invited for two PhD positions in the Aging in Vision and Action laboratory at the Institute of Vision (INSERM-CNRS-University Pierre & Marie Curie) Paris, France. The gradual impairment of vision-dependent functions in the elderly is at the core of our research. The main goal is to characterize how healthy aging shapes perceptual and cognitive aspects of vision. The first PhD project will focus on the impact of healthy ageing on low-level visual perception and visual processing functions. The second PhD will pioneer original research on the impact of visual aging on spatial perception and spatial orientation functions. These goals will be tackled through the combination of experimental and theoretical methods.

Requirements
Applicants’ background should be in physics / engineering or neuroscience / psychology, with a keen interest in combining quantitative and experimental approaches. Previous experience with visual psychophysics, eye-movement analysis, visual space perception, or aging is welcome. Computer programming skills are also a plus. Proficiency in oral and written English is required. Knowledge of French is not mandatory. Successful candidates are expected to work in an interdisciplinary environment with collaborations with biologists, theoreticians and clinicians. They will be awarded a 3-year PhD fellowship from the University Pierre and Marie Curie Paris.

Working environment and laboratory
The Institute of Vision is one of the top international centers for integrated research on vision and eye diseases. It is located at the heart of Paris, on the campus of the National Hospital Center for Ophthalmology. The Institute of Vision includes multidisciplinary research groups, which share state-of-the-art platforms for human and animal experimentation. It also harbors a clinical investigation center, which fosters truly translational research activity. More information can be found online (http://www.institut-vision.org). The Institute of Vision and Essilor International, world leader in ophthalmic optics, have recently supported the creation of the laboratory of Aging in Vision and Action. This new laboratory aims at evaluating and understanding the functional aspects of the degeneration mechanisms related to visual aging. This research has the potential to produce fundamental knowledge suited for opening to assistive technological developments and rehabilitation solutions. The faculty members of the Aging in Vision and Action laboratory, led by Angelo Arleo, are specialized in visual psychophysics, neurobiology of spatial orientation, neural coding, neurocomputational modeling, and preclinical evaluation. The group has access to a wide range of state-of-the-art platforms including eye trackers, motion capture rooms, virtual reality environments, artificial street labs and home labs (http://www.streetlab-vision.com/en/).

How to apply
Candidates should send a motivation letter, a full CV, and names and contact information of at least two referees, to --LOGIN--b898a07ddc010592a3d7808df1ada6b2upmc[dot]fr . The application deadline is March 15, 2014. Short listed candidates will be contacted for an interview (either face-to-face or via videoconference).

• Research Stays for Prestigious Researchers in music information retrieval at the University of Malaga (Spain). Received: 11/02/2014, Deadline: 28/02/2014.

Research Stays for Prestigious Researchers are offered by the University of Malaga (Spain).

These Stays are devoted to Researchers that should contribute to the research topics of a Research Group at the University of Malaga.

The candidates must have more than 7 years of post-doctoral experience.

The duration of the stay will be between six months and twelve months.
Each fellowship will be funded with 2.500 Euros/month to partially cover the accommodation and subsistence expenses during the stay.
In addition,a maximum of EUR 2.000 will be provided to cover the trip costs at the beginning and the end of the stay.
The stay will be carried out between March 2014 and February 2015.

The ATIC RESEARCH GROUP can host a Researcher according to this program to work on the field of music information retrieval: music signal processing, music transcription, musical interactivity...

Feel free to contact me if you are interested (Dr. Lorenzo J. Tardón, e-mail: --LOGIN--2fb1d9e07fd3c8b95bafcbf1697698aaic[dot]uma[dot]es ).

The activity in this field in the ATIC Group is related to the topic
3. Communications and Mobility: Universal Access to Knowledge, Communications of the Future, Software Security and Digital Television.
or topic
6. Tourism and Territorial Development: Sustainable Tourism and New Technologies in Tourism.

Note that the candidate must submit the following (among other things, see website)

3. Candidate's letter explaining his/her research interests and background in the context of the selected research topic. This letter must indicate that the ATIC Research Group will host you.

This refers to a small working project focused on music related technologies that must mention their relation to the ATIC Research group. Also, these activities must be well connected to one of the topics under the section Eligibility Criteria (this should be topic 3 or 6 according to the activities we develop at the ATIC Research Group. If you are interested you can contact me regarding this issue).

My contact information follows:
Dr. Lorenzo J. Tardón
e-mail: --LOGIN--2fb1d9e07fd3c8b95bafcbf1697698aaic[dot]uma[dot]es
Ph: +34-95-213 11 88 Fax:+34-95-213 20 27
ETSI Telecomunicacion
Campus Universitario de Teatinos s/n
29071 Malaga SPAIN

Website for further information:

http://ec.europa.eu/euraxess/index.cfm/jobs/fgDetails/62861

and

http://www.andaluciatech.org/en/research/research-plan/atech-plan/international-researchers

• Contrato investigador sobre Procesado de Imágenes en el Instituto de Óptica (IO-CSIC), Madrid (Spain). Received: 10/02/2014.

El departamento de Imágenes, Visión e Instrumentación del Instituto de Optica (CSIC), busca candidato/a para cubrir un contrato de investigación. El contrato será por 1 año, con un salario anual de 26.733,28 euros. El trabajo de investigación se enmarca dentro de un Proyecto del Plan Nacional de I+D y se centrará en el desarrollo de técnicas de procesado de imágenes en 3D.

Requisitos: Ingenieros Superiores de Telecomunicación.

Imprescindible: Experiencia en técnicas de procesado de imágenes y programación en C/C++/Matlab/CUDA

Información complementaria de la oferta:
Enviar CV a Gabriel Cristóbal
Instituto de Óptica (CSIC), Serrano 121, 28006 Madrid
E-mail: --LOGIN--6311f243ece8263179e094033d81f607gmail[dot]com
Web: http://www.iv.optica.csic.es

• Postdoc sought to venture beyond the Grid at SISSA, Trieste (Italy). Received: 10/02/2014, Deadline: 10/03/2014.

A postdoctoral position is available from April 1st, 2014, for 2 years, to study the dynamics of spatial and semantic memory in complex geometries.

The research, to be carried out within the LIMBO group at SISSA, is part of a collaboration coordinated by Edvard Moser in Trondheim, including also Richard Morris in Edinburgh and Jorg Conradt in Munich and funded by the EU contract GRIDMAP.
At SISSA current research, mainly by Eugenio Urdapilleta and Federico Stella, focuses on mathematical and computational analyses of the representations that can be established in environments more complex than standard 2D flat surfaces; opening the way for a new postdoc to link purely spatial with semantic structures and analyze the ensuing dynamics.

The ideal candidate brings into the project a perspective different from ours, is a proficient programmer and a creative thinker. A lack of familiarity with grid cells, the hippocampus and spatial navigation may be advantageous, if combined with an open mind and plastic synapses. The SISSA campus overlooks the gulf, and is possibly the best place where to do research in Italy. Enquiries can be directed to Alessandro Treves --LOGIN--f7d34c2875d61d0091c2d1d0ec532642sissa[dot]it , although eventually formal applications will have to be addressed to the SISSA Director at --LOGIN--a4cb036fcda089cecb68f487646c0e73sissa[dot]it .

Application deadline: March 10th, 2014.

More info:
http://people.sissa.it/~ale/limbo.html
http://www.mca.sissa.it/

• Postdoc position in deep neural networks at the University of Algarve (Portugal). Received: 10/02/2014, Closing date: 06/03/2014.

The Vision Laboratory is a small group (2 postdocs plus 7 PhD students plus 3 MSc students) which develops models of visual perception. Our models of simple, complex and end-stopped cells run in real time on multi-core CPUs and on GPUs. The keypoints show state-of-the-art repeatability.
Apart from naive Bayes nearest-neighbour classification, we are developing NN hierarchies for object detection and recognition in complex scenes on mobile robots.

We need a postdoc who is specialized in NN architectures.
Keywords: hierarchies, redundancy, sparse coding, Gripon-Bessou NNs, learning, Naive Bayes, CPU and GPU programming, and cognitive robotics.

Start: preferably March or soon after.
Duration: 12 months.
Remuneration: 1495 euro/month - exempt from taxation.
Ample money: for computers and conferences.
Location: Faro, sunny Algarve, Portugal.

Interested postdocs should apply BEFORE March 7, 2014!
Pls send email with CV to Prof. Joao Rodrigues (--LOGIN--6f71414e81c21d1df559912682630ae2ualg[dot]pt ) or Prof. Hans du Buf (--LOGIN--e286ccb9fc42a97e52dbae766fe87698ualg[dot]pt ).

• Four year young post-doc program at the Sevilla Microelectronics Insitute (Spain). Received: 10/02/2014, Deadline: 24/02/2014.

The neuromorphic group at the Sevilla Microelectronics Institute, Spain, welcomes applications for participating in a government funded 4-year young post-doc program.

The program is a two-step program, two years each. The present announcement is for the first two-year step. For the second two-year step, there will be a continuation call by the Spanish Government in due time.

Applicants must have defended their PhD after 1-Sep-2009. Gross salary will be around 27,000€ (to be confirmed).

Applications are submitted by the destination research group and the corresponding institution, and are evaluated taking into the account the candidate's CV, and the research trajectory of the hosting research group.

Deadline for submitting the application is 24-February-2014.

Applications will be evaluated nation wide. From previous years experience, the evaluation process takes minimum 6 months.

Succesful candidates would work in one of the research lines of the hosting research group.

The Neuromorphic Group at the Sevilla Microelectronics Institute works on AER (Address Event Representation) event-driven vision systems, developing chips, FPGA systems, as well as theoretical analyses for artificial vision, targeting applications like object recognition and scene analysis for robotics and high speed vision.

Interested candidates please contact immediately --LOGIN--cd09b9bc936cc23a7f2a0147c948d48dimse-cnm[dot]csic[dot]es .

• One year Post-Doc position in Neuromorphic Engineering with FPGAs at the Sevilla Microelectronics Insitute (Spain). Received: 09/02/2014.

The Neuromorphic group at the Sevilla Microelectronics Insitute has an opening for a one year Post-Doc position to work in a project on Neuromorphic Engineering using FPGAs.

We seek a candidate with strong experience in FPGA developments.
Experience in neuromorphic engineering is not required.

The core of the project exploits Event-Based vision sensing and processing using AER (Address Event Representation). The goal is to develop neuromorphic systems using FPGAs for implementing processing algorithms and inter-FPGA communications through High-Speed Gigaherts serial links (avalable on Spartan6, Virtex6/7, ...).

Gross salary is 32k euros per year. Taxes for this salary in Spain are around 24% (can be lower, depending on personal conditions). Although this position is for one year only, there are possibilities for continuation through other similar projects, depending on the candidate's interests.

Interested candidates, please contact --LOGIN--cd09b9bc936cc23a7f2a0147c948d48dimse-cnm[dot]csic[dot]es at your earliest convenience.

• Postdoc positions in music and audio computing at Academia Sinica, Taipei (Taiwan). Received: 06/02/2014.

New postdoc positions are available in the Music and Audio Computing Lab (http://mac.citi.sinica.edu.tw/) at Academia Sinica, Taipei, Taiwan. The positions are available immediately and are for one year with good potential for extension.

We are looking for self-motivated researchers with expertise in one of the following areas:

- sparse coding based music signal processing

- melody transcription

- source separation

- music emotion recognition

- context-aware music recommendation

- multimedia systems for mobile devices

- social media analysis and mining

The postdoc positions are funded by a 5-year project on sparse coding based MIR funded by the Academia Sinica Career Development Award and a 3-year project on context-aware music recommendation funded by the National Science Council of Taiwan. The salary for the postdocs is about 2,000 USD per month.

The postdocs will be given much freedom in pursuing research and, if interested, unique opportunity for participating in the organization of ISMIR at Taipei for 2014.

To apply, please email a motivation letter and CV to me (via --LOGIN--033c6714a2fd29addd97384e8e6e9a94citi[dot]sinica[dot]edu[dot]tw or --LOGIN--4abb4dc73c7e4eba76de4c2083074117gmail[dot]com ) with a cover letter and detailed CV.

More information about the Music and Audio Computing Lab and Academia Sinica can be found from the links below.

http://mac.citi.sinica.edu.tw/Research.html

http://mac.citi.sinica.edu.tw/Publication.html

http://www.citi.sinica.edu.tw/index_en.php

http://en.wikipedia.org/wiki/Academia_Sinica

• Funded Ph.D. Studentships in music and sound computing and informatics at City University London (UK). Received: 06/02/2014, Closing date: 01/03/2014.

City University London is offering up to 50 fully funded Research Studentships to start in October 2014 open to national, EU and overseas applicants.

The Music Informatics Research Group in the Department of Computer Science at City University would particularly like to encourage PhD applications in the areas of music and sound computing and informatics.

Research interests in the Music Informatics Research Group include:
- music information retrieval
- computational musicology
- audio transcription
- audio signal analysis and classification
- machine learning applied to music and sound
- semantic music representation and processing
- intelligent systems and user interfaces for music applications, such as music e-learning, recommendation, etc.

Information about the Music Informatics Research Group and the Research Studentship application procedures and assessment criteria can be found on line at
http://mi.soi.city.ac.uk/
and
http://www.city.ac.uk/citygraduateschool/fees-and-funding/university-doctoral-studentships

The closing date for applications is the 1st of March 2014.
If you are interested in applying, please get in touch with Tillman Weyde (--LOGIN--e9df71cb987149630a9e6288c9e013bbcity[dot]ac[dot]uk ) to discuss further details.

• Two PhD positions in Biomedical Data Analysis at the University of Basel (Switzerland). Received: 06/02/2014, Closing date: 10/03/2014.

Applications are invited for two PhD positions in the Biomedical Data Analysis group at the Department of Mathematics and Computer Science of the University of Basel. The focus of our group concerns the development of integrated solutions for large-scale data analysis problems, ranging from low-level data/image-processing, to feature and structure detection to classification, clustering and network inference.

Successful applicants have a profound knowledge in mathematical modeling and in algorithmics, together with substantial programming skills and a genuine interest in biomedical applications. Candidates are expected to engage in interdisciplinary research groups and to foster collaborations with clinicians and biologists.

A prerequisite is a Masters degree in Computer Science, Mathematics, Physics or related disciplines.
Successful candidates will be awarded a fellowship with a competitive salary (approx. 47000 CHF/year).

Applications with a full CV, list of publications, short statement of research interests and name(s) of at least one referee should be submitted (in electronic form) to --LOGIN--bee6e0a9d9e61357605f29aea9d44a41unibas[dot]ch before March 10, 2014.

For further inquiries, please contact Volker Roth,
Email: --LOGIN--bee6e0a9d9e61357605f29aea9d44a41unibas[dot]ch
Phone: +41-61-2670549

• Software Engineering Careers at RTI, Granada (Spain). Received: 05/02/2014.

Software Engineer – Internet of Things

RTI enables intelligent machines. We provide the quality product, excellent service, open philosophy, and impeccable business needed by the most critical applications in the exploding Internet of Things (IoT) or the Industrial Internet. RTI is the undisputed leader in real-time IoT. Our fast, flexible middleware is the core nervous system for intelligent machines.

Our mission is to enable the transformation of entire industries. We already changed the defense industry. We are actively engaged in revolutionizing how hospitals deliver care, how medical imaging systems collect data, how smart cars drive themselves, how unmanned planes fly themselves, how huge companies test their products, how we generate and use energy, and how we can reinvent air traffic control to handle increased traffic and drones. The total value of system designs that trust RTI for their fundamental architecture exceeds $1 trillion. We are well positioned to make a huge difference to the world.

And we are not a huge behemoth. We are large enough to impact the world, yet small enough that you can impact us. At RTI, you will be well supported, well paid, proud of your product and company, and on a mission with the greatest team you've ever known. At RTI, you can go help the leaders of the most important next wave of technology succeed in changing the world.

As a software engineer in our core team, you will be part of a team of experts building a secure real-time middleware platform with extreme performance and scalability. The RTI Connext software enables 100s and 1000s of applications and devices to exchange data in a timely and reliable way. Our software features direct peer-to-peer connections, reliable multicast, automated application discovery, and unique, contractual quality-of-service control. Our team values creativity, risk-taking, innovation, and open communication.

RESPONSIBILITIES

- Design, develop, test and document core infrastructure software, part of the RTI Connext Data Distribution Services (DDS) products.

- Design new features and participate in architecture reviews for the overall product
- Develop new features using C/C++, Java or C#
- Test and maintain middleware on a variety of operating systems and real-time embedded platforms, and for interoperability with other DDS-based products
- Write API and feature documentation
- Evaluate and analyze performance

REQUIREMENTS

- Degree in Computer Science or related field (Advanced degree preferred)
- Deep understanding of distributed systems, peer-to-peer networks, and computer networking
- Excellent C/C++ skills. Java, C#, and scripting languages are a plus
- Experienced programmer (through internships, university projects, open source projects, etc.)
- Ability to work successfully in a highly distributed team, including HQ in USA.
- Excellent English oral and written communication skills

Please send your resume to --LOGIN--c6c170df61cbfa32376b860c16867038rti[dot]com

ABOUT RTI

We offer an attractive compensation package consisting of competitive salary, company performance-based bonus plan and LPP grants.

We seek people who share the company's values of education, extraordinary commitment to employees, technology, customers and the pursuit of excellence.

Equal Opportunity Employer

• Prospective PhD/Postdoc Positions in Computational Neuroscience at the Ernst Strüngmann Institute (ESI) (Germany). Received: 05/02/2014.

Job openings as PhD student or postdoc will be available in my group at the Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society and the Frankfurt Institute for Advanced Studies (FIAS) in Frankfurt/Main, Germany.

My group is primarily focused on models that describe neuroanatomy at the cellular level and works in tight collaboration with experimental labs (see my website: http://www.treestoolbox.org/hermann/). We will be located at the ESI (http://www.esi-frankfurt.de/esi-frankfurt/) with additional office space at the FIAS (http://fias.uni-frankfurt.de/). The group will be embedded in the German Bernstein Network of Computational Neuroscience.

I am particularly looking for enthusiastic candidates that are interested in the cellular mechanisms of computation in the brain. Good programming or analytical skills and a Neuroscience background are an advantage.

If you are interested please contact me directly via email (--LOGIN--dd2d4558e305aa11d1af04f538cadd54gmail[dot]com ). Please note that the positions are still pending approval and a more formal job posting will follow.

• Postdoctoral position in computer vision at the Idiap Research Institute (Switzerland). Received: 04/02/2014.

Postdoctoral position in computer vision for surveillance

We are looking for a highly motivated candidate for a postdoctoral position in computer vision for surveillance applications. The work will take place in the context of a project recently funded by the Swiss Governement, where the main goal is to design an intrusion detection system that can leverage on incremental learning techniques and automatic scene parameter adaptation. The project involves a Small company and a Technological university.

The ideal postdoctoral candidate is expected to have a PhD in computer science or electrical engineering with a strong background in one of the following topics:
- computer vision and video processing (tracking, low-level feature extraction, motion analysis; 3d geometry...)
- machine learning
- surveillance

The applicant should have strong programming skills and be familiar with C/C++ and the Linux environment.

The position is for 18 months. The starting date is as soon as possible.

Interested candidates should a email a letter of motivation, a detailed CV, and the names of three references to:

Jean-Marc Odobez
--LOGIN--bed5b18192a93134c6ee9343aa3badc2idiap[dot]ch
tel : +41 (0)27 721 77 26
www.idiap.ch/~odobez/

About Idiap: Idiap (www.idiap.ch), EPFL's Lidiap laboratory (idiap.epfl.ch), is located in Martigny in Valais, a scenic region in French-speaking Switzerland surrounded by the highest mountains of Europe, which offers multiple recreational activities,including hiking, climbing, and skiing, as well as varied cultural activities, all within close proximity to Lausanne and Geneva. Idiap is an equal opportunity employer and offers a young, multicultural environment where English is the main working language.

• Postdoctoral positions in statistical neuroscience and machine learning at the Grossman Center for the Statistics of the Mind, Columbia University (USA). Received: 04/02/2014.

Two full-time postdoctoral positions are available immediately in Columbia University's Grossman Center for the Statistics of the Mind, a new center focusing on the intersection of neuroscience, machine learning, and statistics. The Grossman Center bridges Columbia's Statistics and Neuroscience departments, and is closely integrated with the Center for Theoretical Neuroscience. The Grossman Center is part of Columbia's larger, growing initiatives in neuroscience and data sciences, all located in New York City.

The principal appointments will be in the Statistics department, in the research groups of Liam Paninski and/or John Cunningham, with ample opportunities for interaction with an exceptional group of experimental and theoretical collaborators, including M. Churchland, L. Abbott, R. Yuste, R. Bruno, T. Jessell, K. Miller, B. Pesaran, E.J. Chichilnisky, E. Simoncelli, K. Shenoy, M. Ahrens, and more.

Requirements: Qualifications include primarily a strong research portfolio in computational neuroscience, statistical neuroscience, machine learning, or a related field. Backgrounds in analyzing large neural datasets, modeling complex neural systems, and cutting-edge machine learning will be particularly valuable. These positions are highly quantitative and highly interdisciplinary; applicants should have a PhD in Electrical Engineering, Statistics, Machine Learning, Physics, Applied Mathematics, or Computational Neuroscience.

Appointment: The initial appointments will be for one year, and are renewable. Salaries will be set based on experience and skills.

Applicants should send email to “grossman at stat dot columbia dot edu” providing:
1. a one-page description of past research experience
2. a one-page description of future research interests and goals
3. a resume of educational and research experience, including publications
4. names of at least two people that could provide letters of reference

All materials should be in pdf or plain text. Applications will be reviewed as they arrive until the positions are filled; interested candidates are encouraged to express their interest early. Due to demand, we may not be able to reply to all applications.

• Research Positions in Machine Learning at Amazon, New York (USA). Received: 03/02/2014.

We are expanding the machine learning research team at Amazon in NYC for the profit system group.

We are looking for someone that can rigorously use state-of-the-art supervised and unsupervised methods and who is deeply familiar with discriminative and generative modeling. The successful candidate will analyze large data sets to identify attributes that directly influence Amazon’s profit; design models that capture drivers of realized profit; and formulate proposals that drive optimal profit maximization. If you are a subject matter expert in machine learning who enjoys coding production-strength algorithms to mine data, uncover patterns, identify significant variables, and build predictive models over large-scale data sets then we would like to chat with you!

You can find more information about these posts at:
http://www.amazon.com/gp/jobs/ref=j_sq_btn?jobSearchKeywords=&category=Machine+Learning+Science&location=US%2C+NY%2C+New+York&x=8&y=7

• PhD position in Resource Constrained Intelligent Sensing at Queen Mary University of London (UK). Received: 03/02/2014, Deadline: 20/02/2014.

Fully funded PhD studentship in Resource Constrained Intelligent Sensing.
School of Electronic Engineering & Computer Science, Queen Mary University of London.

Conventional approaches to machine perception apply supervised machine learning techniques to predict semantic quantities of interest from a fixed set of low-level features. This project will address the meta challenges of learning which features to extract, and which learning algorithms to apply on a dynamic case-by-case basis to do the best possible job within a constrained amount of computing resource. Applications include real-time multi-media sensing and “big data” analysis.

Nationality: Open to all.
Deadline: Thu 20 Feb 2014.
Interviews: Expected Wed 26 Feb 2014.
Start: Sep 2014.

For queries contact: Dr. Timothy Hospedales, --LOGIN--fb828da5bb542ace092ab5647ea4caabqmul[dot]ac[dot]uk
More details: http://www.eecs.qmul.ac.uk/~tmh/job_CIS2014.pdf
To Apply: http://www.qmul.ac.uk/postgraduate/pgrcoursefinder/computer-science/index.html

• Two open postdoc positions in Neuro-engineering / Computational Neuroscience at the University of Melbourne (Australia). Received: 03/02/2014, Closing date: 24/02/2014.

Two postdoc positions in neuro-engineering / computational neuroscience are available at the University of Melbourne. The details are below and the closing date for both positions is 24th February.

==========
Position 1: Computational neural modelling of synaptic plasticity associated with reward reinforcement

Link to position: http://go.unimelb.edu.au/up2n

RESEARCH FELLOW
Position no.: 0032727
Employment type: Full-time Fixed Term
Campus: Parkville

Department of Electrical and Electronic Engineering Melbourne School of Engineering The University of Melbourne Australia

Salary: Level A $61,138* - $82,963 p.a. (*PhD entry Level A.6 $77,290 p.a.) or Level B $87,334 - $103,705 p.a., plus 9.25% superannuation. The level of appointment is subject to the appointee's research record, qualifications and experience.

We are seeking a talented and dedicated candidate to join the Melbourne School of Engineering, one of Australia's leading engineering schools, as a postdoctoral research fellow. This position is part of a newly funded ARC Discovery project to develop models of synaptic plasticity in the brain through mathematical analysis and computational simulation. In this project, models of synaptic plasticity associated with reward reinforcement will be used to develop “plasticity targeted” techniques for improved brain-machine interfaces (also called brain-computer interfaces).

To be successful in this position, you will have a PhD in a discipline relevant to neural engineering or computational neuroscience (including physics and mathematics). You will have a solid skill set in mathematical and computational modelling and algorithm development, preferably applied to neuroscience, and a strong publication track record. Excellent written and oral communication skills and the ability to work both independently and as part of a team are essential. This position will be based in the Neuroengineering Laboratory in the Department of Electrical and Electronic Engineering at the University of Melbourne. There is the opportunity for collaboration with a wide range of biomedical engineers, electrophysiologists, and clinicians who are associated with the research programs in the Neuroengineering Laboratory.

You must be able to demonstrate clearly an ability to perform independent research. Excellent written and verbal communication skills are essential. Research expertise in the area of neural modelling will be advantageous but not essential. The position is open to both national and international applicants. The position will commence in 2014 for a period of up to 3 years.

Close date: 24 February 2014

==========
Position 2: Neural modelling of advanced retinal stimulation methods

Link to position: http://go.unimelb.edu.au/op2n

RESEARCH FELLOW
Position no.: 0032823
Employment type: Full-time Fixed Term
Campus: Parkville

Department of Electrical and Electronic Engineering Melbourne School of Engineering The University of Melbourne Australia

We are seeking a talented researcher to join the Melbourne School of Engineering, one of Australia's leading engineering schools, as a postdoctoral research fellow. This position is part of a newly funded ARC Discovery project to develop advanced stimulation methods for a retinal implant to restore a sense of vision to people with degenerative or inherited retinal disease. The project will build on substantial previous research undertaken by Bionic Vision Australia (BVA), which is a partnership of world-leading Australian researchers collaborating to develop an advanced retinal implant.

To be successful in this position, you will have a PhD in a discipline relevant to neural engineering or computational neuroscience. You will have a solid skill set in mathematical and computational modelling and algorithm development, preferably applied to neuroscience, and a strong publication track record. Excellent written and oral communication skills and the ability to work both independently and as part of a team are essential. This position will be based in the Neuroengineering Laboratory in the Department of Electrical and Electronic Engineering at the University of Melbourne, working with a team of neural engineers and retinal electrophysiologists to develop algorithms for improving the spatial resolution offered by retinal implants.

You must be able to demonstrate clearly an ability to perform independent research. Excellent written and verbal communication skills are essential. Research expertise in the area of neural modelling will be advantageous but not essential. The position is open to both national and international applicants. The position will commence in 2014 for a period of up to 3 years.

Close date: 24 February 2014

• Fully funded Postdoc position (Experienced Researcher) in Computational Neuroscience at the Institute for Complex Systems (ISC), CNR, Florence (Italy). Received: 01/02/2014, Closing date: 15/05/2014.

Fully funded Marie Curie Postdoc position (Experienced Researcher) in Computational Neuroscience

New approaches for the analysis of neuronal spike trains

within the Marie Curie Initial Training Network - 'Neural Engineering Transformative Technologies' (NETT) at the Institute for Complex Systems (ISC), CNR, Florence, Italy.

Gross Salary per year: 64,701 EURO (Living Allowance) plus 9,290 - 13,272 EURO (Mobility Allowance) depending on the family situation

Required title: PhD in Physics, Engineering, Applied Mathematics, or Computational Neuroscience

Applications: There will be some specific application procedure which we will announce as soon as possible.

Closing date for the position: May 15, 2014

Applications are invited for the above post to work with Dr. Thomas Kreuz [http://wwwold.fi.isc.cnr.it/users/thomas.kreuz/] and Dr. Alessandro Torcini [http://wwwold.fi.isc.cnr.it/users/alessandro.torcini/] in the Computational Neuroscience group [http://neuro.fi.isc.cnr.it/] at ISC, Florence. This world leading group combines theoretical investigations (e.g., on non-trivial collective phenomena in neuronal populations) with practical applications (such as spike train analysis). The group is one of the main participants in the Center for the Study of Complex Dynamics (CSDC) created with the purpose of coordinating interdisciplinary training and research activities. CSDC researchers include physicists, control engineers, mathematicians, biologists and psychologists.

This full-time post will begin on the 1st of September 2014 (at the latest, no possibility of further delay) and will be offered on a fixed-term contract for a period of 24 months. The activity will include a six-month stay with NETT partner Prof. Bert Kappen [http://www.snn.ru.nl/~bertk/] at the Radboud University Nijmegen, Netherlands.

The Florence part of the project will mainly consist of two parts: Development of new approaches for (multivariate) data analysis and analysis of electrophysiological data (in particular neuronal spike trains). During the six-month stay in the Netherlands the project will be devoted to the applicability of methods derived from latent state models, sequential Monte Carlo sampling, and path integral control to analyze neural time-series data, such as spike trains.

The candidate should have a strong background in at least one of the following fields: computational neuroscience, data analysis, and nonlinear dynamics as well as solid experience in scientific programming (e.g. in Matlab, C, Python, Fortran).

Candidates must be in the first 5 years of their research careers (starting from the date of the MSc title) and already be in possession of a doctoral degree in physics, engineering, applied mathematics, or computational neuroscience. As part of our commitment to promoting diversity we encourage applications from women. To comply with the Marie Curie Actions rule for mobility applicants must not have resided, worked or studied in Italy for more than 12 months in the 3 years prior to May 2014.

At a later stage a formal application will be required. Guidelines will be given as soon as possible on this webpage [http://neuro.fi.isc.cnr.it/index.php?page=marie-curie-itn-postdoc].
As of now informal inquiries should be addressed to Dr. Thomas Kreuz (--LOGIN--6b4660ec34956ecbe45fd6785c281dd4cnr[dot]it ) and/or Dr. Alessandro Torcini (--LOGIN--4d85b3114ab19c2a32963b734432decacnr[dot]it ).

• Open Postdoc positions in Computational Neuroscience and Neurotechnology at Bernstein Center Freiburg (Germany). Received: 31/01/2014.

==========
Postdoc Position on Structure and Dynamics of Cortical Networks in the Computational Neuroscience lab of Prof. Stefan Rotter

Our goal is to understand the interplay between network topology and spiking activity dynamics in the neocortex and other parts of the mammalian brain, and to explore the possibilities and constraints of dynamical brain function. Our main tools are mathematical/numerical network modeling and statistical data analysis, often used side by side within the framework of stochastic point processes and statistical graph theory. In collaboration with physiologists and anatomists, we seek to develop new perspectives for the model-based analysis and interpretation of neuronal signals.

We are a young group of researchers from mathematics, physics, computer science and biology and invite applications to join the lab for a 2-3 year PostDoc project, and to enter the PostDoc program in Computational Neuroscience at the Bernstein Center Freiburg.

The Bernstein Center Freiburg performs research in Computational Neuroscience and Neurotechnology at the University of Freiburg, Germany. The projects are highly interdisciplinary and span from mathematical-theoretical approaches on the function and dynamics of neuronal networks over neuroanatomy and experimentally driven neurophysiology up to the development of technologies for medical application.

Further details on: www.bcf.uni-freiburg.de/jobs

==========
Postdoc position in Non-Clinical Epilepsy Research in the Biomicrotechnology lab of Prof. Ulrich Egert

We are currently offering a Postdoc position (2 years) in the Laboratory for Biomicrotechnology (http://www.bcf.uni-freiburg.de/people/details/egert) at the University of Freiburg.

The project investigates mechanisms underlying mesiotemporal lobe epilepsy from the perspective of the dysfunction of interaction between subnetworks in the hippocampal formation (Froriep et al. 2012, Epilepsia). We aim to use targeted stimulation to reduce the circuit's susceptibility for seizures.

It is essential that you have a background in neuroscience, ideally in experimental neurophysiology in vivo as well as a PhD degree. You should further be competent in data analysis and have an affinity for the network perspective.

The project is part of the Cluster of Excellence “BrainLinks-BrainTools” (www.brainlinks.uni-freiburg.de) together with the Bernstein Center Freiburg (www.bcf.uni-freiburg.de) and will combine neurophysiology, computational neuroscience and neurotechnology.

Further details on: www.bcf.uni-freiburg.de/jobs

==========
Postdoc position in Neurotechnology & Computational Neuroscience in the lab of Prof. Stefan Rotter

We are looking for a postdoctoral researcher to join an international team of scientists and engineers in the NeuroSeeker project (see http://www.neuroseeker.eu/). The goal of the project is to develop and apply new methods and software to improve the yield of novel high-resolution probes for recording activity from many neurons simultaneously.

Candidates should hold a PhD in physics, applied mathematics, computer science or biology, with proven experience in software engineering and user-oriented application programming (C++ and/or Python). Specific knowledge and scientific publications in the fields of “statistical analysis of neuronal data” and/or “numerical methods and data structures in the neurosciences” are a requirement.

Funding is already available, starting date is negotiable.

The Bernstein Center Freiburg concentrates research in Computational Neuroscience and Neurotechnology at the University of Freiburg, Germany. The projects are highly interdisciplinary and span from mathematical-theoretical approaches on the function and dynamics of neuronal networks over neuroanatomy and experimentally driven neurophysiology up to the development of technologies for medical application.

Further details on: www.bcf.uni-freiburg.de/jobs

• Open PhD positions at Bernstein Center Freiburg (Germany). Received: 31/01/2014.

==========
PhD position in Neurotechnology and Computational Neuroscience

A PhD position is available in the lab of Carsten Mehring at the Bernstein Center of the University of Freiburg, Germany.

This is a new lab, established to study sensorimotor behavior and brain-machine interfaces. Research topics include: motor adaptation and motor skill learning; brain-machine and machine-brain interfaces; neuronal dynamics; decision making. The primary research tools are behavioural experiments (using virtual reality), electrophysiology and neuroimaging (EEG, ECoG, fNIRS), transcranial electrical stimulation (tDCS&tACS), advanced neural signal analysis and computational modeling.

We invite applications to join the lab for a 3-4 year PhD project, and to enter the PhD program “iCoNeT” at the Bernstein Center Freiburg. The project is financed by a fellowship of the DAAD that can only be awarded to non-German applicants that have not been staying in Germany for more than 15 months at the time of their application.

The Bernstein Center Freiburg concentrates research in Computational Neuroscience and Neurotechnology at the University of Freiburg. The projects are highly interdisciplinary and span across mathematical-theoretical approaches on the function and dynamics of neuronal networks, neuroanatomy, experimentally driven neurophysiology and the development of technologies for medical application.

Please apply using our online form at https://yoda.bcf.uni-freiburg.de/ and indicate “Mehring” as preferred project. The deadline for applications is February 28, 2014.

Further details on: www.bcf.uni-freiburg.de/jobs

==========
PhD position in Experimental Epilepsy Research

The goal Prof. Carola Haas’ group of researchers form medicine and biology is to understand the interplay between molecular, cellular and functional determinants leading to focal epilepsies in the mammalian brain. Our main tools are in vivo animal models and in vitro approaches to study the contribution of new neurons to epileptogenesis in the dentate gyrus network.

We invite applications to join the lab for a 3-4 year PhD project, and to enter the PhD program “iCoNeT” at the Bernstein Center Freiburg. The project is financed by a fellowship of the DAAD that can only be awarded to non-German applicants that have not been staying in Germany for more than 15 months at the time of their application.

The successful applicant has prior training in neuroscience and/or experience with molecular biological techniques to trace cellular progeny. Good knowledge of the English language, high motivation for independent work, but also ability to work in an international team are mandatory.

The Bernstein Center Freiburg concentrates research in Computational Neuroscience and Neurotechnology at the University of Freiburg. The projects are highly interdisciplinary and span across mathematical-theoretical approaches on the function and dynamics of neuronal networks, neuroanatomy, experimentally driven neurophysiology and the development of technologies for medical application.

Please apply using our online form at https://yoda.bcf.uni-freiburg.de/ and indicate “Haas” as preferred project. The deadline for applications is February 28, 2014.

Further details on: www.bcf.uni-freiburg.de/jobs

==========
PhD position on Structure and Dynamics of Cortical Networks in the Computational Neuroscience lab of Prof. Stefan Rotter

Our goal is to understand the interplay between network topology and spiking activity dynamics in the neocortex and other parts of the mammalian brain, and to explore the possibilities and constraints of dynamical brain function. Our main tools are mathematical/numerical network modeling and statistical data analysis, often used side by side within the framework of stochastic point processes and statistical graph theory. In collaboration with physiologists and anatomists, we seek to develop new perspectives for the model-based analysis and interpretation of neuronal signals.

We are a young group of researchers from mathematics, physics, computer science and biology and invite applications to join the lab for a 3-4 year PhD project, and to enter the PhD program in Computational Neuroscience at the Bernstein Center Freiburg.

The Bernstein Center Freiburg performs research in Computational Neuroscience and Neurotechnology at the University of Freiburg, Germany. The projects are highly interdisciplinary and span from mathematical-theoretical approaches on the function and dynamics of neuronal networks over neuroanatomy and experimentally driven neurophysiology up to the development of technologies for medical application.

Further details on: www.bcf.uni-freiburg.de/jobs

==========
PhD position on Closed-Loop Control of Neuronal Networks Using Machine-Learning Techniques in the Biomicrotechnology lab of Prof. Ulrich Egert

We are currently offering a PhD position for a candidate with a background in experimental network neuroscience.

The project investigates the opportunities of machine learning in order to develop controllers that interact with neuronal networks. The project is part of the Cluster of Excellence “BrainLinks-BrainTools'' (www.brainlinks.uni-freiburg.de) together with the Bernstein Center Freiburg (www.bcf.uni-freiburg.de) and will combine neuroscience and engineering.

Our aim is to identify the fundamental principles and boundary conditions relevant to control network activity with machine learning algorithms and through various points of intervention. We use cultured neuronal networks on microelectrode arrays as a model system to test out concepts of network control. Eventually these concepts will be expanded and adapted to in vivo applications to improve the efficacy of neurotechnical implants, such as in deep brain stimulation.

It is essential that the candidate has a background in neuroscience, ideally in experimental neurophysiology, an MSc degree and a strong interest in network analysis. The international PhD training program of the Bernstein Center Freiburg will help you fill in any knowledge gaps that you may have.

Further details on: www.bcf.uni-freiburg.de/jobs

==========
PhD position on sensorimotor processing in the basal ganglia

A PhD position is available in the new junior research group of Robert Schmidt in the Cluster of Excellence BrainLinks-BrainTools in Freiburg (Germany). We currently assemble a young, ambitious research team to study neural foundations of action selection, initiation and execution at the intersection of computational and experimental neuroscience.

The research project is centered around the analysis of electrophysiological recordings from rats performing behavioral tasks.

Our goal is to gain understanding of basal ganglia processing of sensory- and movement-related information (see e.g. Schmidt et al., 2013. Canceling actions involves a race between basal ganglia pathways. Nat. Neurosci. 16: 1118-1124.). We want to integrate advanced data analysis methods with computational modelling and clinical applications (e.g. for Parkinson's Disease). The project includes close collaborations with computational and experimental groups in Freiburg (e.g. Ad Aertsen and Arvind Kumar at the Bernstein Center Freiburg), and internationally (e.g. Joshua Berke at University of Michigan, USA and Nicolas Mallet at CNRS Bordeaux, France).

The ideal candidate has profound neurobiological knowledge, programming skills (e.g. Matlab or Python), and mathematical expertise. High motivation and interest in neuroscientific research is mandatory. Experience in the analysis of neurophysiological data and computational modelling is a big plus. Applicants with degrees from interdisciplinary programs such as computational neuroscience or cognitive science are highly welcome, but applicants from other disciplines such as biology or physics are also strongly encouraged to apply.

The position is for three years (65% TV-L E13) and is starting as soon as possible.

Please send your CV together with contact details of at least two referees and a scientific research statement (max. 2 pages) as PDF files to --LOGIN--5df5c0abfaef2f66b1b468cd9908d5f7brainlinks-braintools[dot]uni-freiburg[dot]de .

• Audio Research Internship Positions Available at Beats Labs, Santa Monica, CA (USA). Received: 31/01/2014.

Beats Electronics is currently recruiting summer interns in the DSP Research Team in Santa Monica, California. Our group is involved mostly in the following R&D areas:

- speech enhancement (microphone arrays, noise reduction, echo cancellation)

- spatial audio reproduction (loudspeaker arrays, virtual acoustic simulation, headphone surround sound)

- audio and speech classification (automatic speech recognition, source separation, CASA)

- loudspeaker measurement and correction (nonlinear system identification, loudspeaker modeling and enhancement)

- biometric signal processing (using acoustic and non-acoustic sensors)

The team works within Beats Labs, a group of engineers dedicated to creating innovative new technologies that can transform the audio experience in our speakers, headphones, and partner products in mobile, automotive, and PC. We are looking for Ph.D. students with a strong background in audio and speech processing to join us from May to August this summer. This is a unique opportunity to work closely with engineers in every stage of the product development lifecycle at a high profile audio brand. Past internships have led to patents, publications, and full time offers of employment. Please send applications to Daniele Giacobello --LOGIN--61efbe3551934e18d4ff7ab88e9abbe8beatsbydre[dot]com or Josh Atkins --LOGIN--fca79adef294c676c3b61d5506f13e18beatsbydre[dot]com with a CV and cover letter.

• Open RESEARCH POSITIONS in Computer Science and Electrical Engineering at AtlantTIC Research Center, Universidad de Vigo (Spain). Received: 30/01/2014.

AtlantTIC Research Center for Information and Communications Technologies (http://atlanttic.uvigo.es/en) affiliated with the University of Vigo, Spain, invites applications for PhD positions, junior engineer positions and postdoctoral positions in Computer Science and Electrical Engineering.

AtlantTIC integrates several worldwide reference groups in different fields of telecommunications. This fact is supported by international publications (more than 80 journal papers and more than 200 conference publications in 2013), awards to the defended Ph. D. theses (several Best Ph. D. Thesis Awards of the Spanish Official Institute of Telecommunications Engineers), significant research projects' income (about 25 million euros in the last five years) and some of its members being Associate Editors of IEEE Transactions. The selected candidates will join the different research groups in AtlantTIC to investigate in any of the following areas:

- Signal Processing
- Digital Communications
- Radiocommunications
- Electromagnetic Engineering
- Biomedical Engineering
- Networks and Telecommunication Services

Positions are funded by the participation in several research projects. Participation to workshops, conferences, and project meetings is expected.

Applications will be reviewed on a continual basis until all positions are filled.

Más información: AQUÍ

• Post-doctoral position in machine learning for bioimaging and bioinformatics at the GIGA Biomedical Research Center, University of Liège (Belgium). Received: 30/01/2014.

Job Advertisement: Position at the post-doctoral level for 1 year at the Systems and Modeling research unit at the GIGA Biomedical Research Center and at the Montefiore Institute of Electrical Engineering and Computer Science, at the University of Liège, Belgium.

Within European FP7 Marie Curie Work Programme coordinated by Prof. dr. S. Heymans (Maastricht University), we are looking for an excellent, highly competitive researcher at the post-doctoral level. He/she should have worked for at least 3 years outside Belgium during the past years.

Topic: Development & application of machine learning, image analysis, and bioinformatics techniques for high-throughput and high-content analysis for microRNA-medicines for Cardiac Metabolic Diseases.

Keywords: Machine Learning – Image Analysis – Bioimage Informatics - Bioinformatics.

Environment: The GIGA Research Center with excellent research groups in biology, bioinformatics, and machine learning fields grouped together.

Project: The researcher will be working closely with a team of software developers, researchers in machine learning & bioinformatics, and biologists, to advance high-throughput automated analysis of bioimaging & microRNA data. The applicant will be involved in the application of existing algorithms and the design of novel algorithms and their large-scale evaluation for cellular image recognition and phenotype quantification to discover novel microRNAs implicated in heart failure. She/He will have access to a high-performance computing environment and various bioinformatics tools including the inhouse developed Cytomine platform able to process terabytes of imaging data.

Capacities & Experiences: Applicants should hold a PhD and have strong knowledge in machine learning, bioinformatics and/or computer vision. Programming and data analysis skills are also highly desirable. The candidates should be highly motivated, with a strong interest in large-scale biomedical applications. A working knowledge of English language is mandatory.

This project is a collaborative project (exchange of people) between Maastricht University (Netherlands), Cenix Biosciences (Dresden, Germany) and SystMod (GIGA, Liège, Belgium).

Interested candidates should send a CV, a brief statement of research and development interests, three relevant publications, and the names and contact details of two references by e-mail (with subject “Postdoc CardiomiR”) to: --LOGIN--fc60d09228c93105b2090db67267112aulg[dot]ac[dot]be ; --LOGIN--d2f434f6088600d2797fe65755795f4culg[dot]ac[dot]be

Related links:
http://www.montefiore.ulg.ac.be/systmod
http://www.giga.ulg.ac.be
http://ec.europa.eu/research/participants/portal/page/people?callIdentifier=FP7-PEOPLE-2012-IAPP
http://www.cenix.com
http://www.cytomine.be/
http://www.montefiore.ulg.ac.be/~maree
http://www.montefiore.ulg.ac.be/~geurts

• Master Thesis for Students of Electrical Engineering at Max Planck Institute for Radio Astronomy, Bonn (Germany). Received: 27/01/2014.

Currently under development at our institute is a high-performance measurement instrument for radio observations, to be deployed at the Effelsberg 100m radio telescope in Germany. This instrument is basically a high-speed ADC with a number of FPGAs for signal processing. Among other features it will provide several front-accessible module bays. These bays provide a mechanical and electrical interface for support modules that are needed for the different measurement operations. Examples include clock synthesizers, input filters, signal generators and the like.

One particular module design is offered as a Master Thesis for an EE student. The functionality is typically called an Arbitrary Waveform Generator (AWG).

For further information please contact:
Dr. Günter Knittel
Max Planck Institute for Radio Astronomy
Auf dem Hügel 69
53121 Bonn
--LOGIN--8c39c08e4ef83f211fc2cea1c10cac3empifr-bonn[dot]mpg[dot]de

Más información: AQUÍ

• 4-year funded PhD places at the EPSRC Centre for Doctoral Training in Intelligent Games and Game Intelligence (IGGI) (UK). Received: 26/01/2014.

Game AI is a major application of machine learning and optimisation.

We have 11 fully-funded studentships available each year (covering fees at Home/EU rate and a stipend for four years) in the EPSRC Centre for Doctoral Training in Intelligent Games and Game Intelligence (IGGI), to conduct cutting-edge research and train the next generation of researchers, designers, developers and entrepreneurs in digital games.

IGGI is a collaboration between three UK Universities: the University of York, the University of Essex and Goldsmiths College, University of London. IGGI PhDs will be based at their principal supervisor’s University site with travel to the other sites for team and training activities.

IGGI brings together 60 industrial partners from the UK games industry and related organisations (including Sony Computer Entertainment Europe, The Creative Assembly, Codemasters, Rebellion, TIGA, and many more – see www.iggi.org.uk/our-industrial-partners/). IGGI PhDs will have the opportunity to engage in placements at these partner organisations, as well as international research labs, during their PhD research.

In addition to conducting research with world-leading academics and industry partners, you will participate in global game jams, co-organise and participate in an annual games symposium, and engage with industry-led seminars. You will receive training from experts in Games Development, Games Design, Research Skills and a range of optional modules including AI, computer vision, human-computer interaction, storytelling, graphics, sound and robotics.

Since places will be allocated on a first-come-first-served basis, we encourage applicants to contact prospective supervisors and submit applications as soon as possible.

For further information and details of how to apply go to www.iggi.org.uk.

• Post-Doc Position in Artificial Neural Networks at INEB (Portugal). Received: 22/01/2014, Deadline: 01/02/2014.

A Post-Doc position is available at INEB (www.ineb.up.pt), Portugal under the project “Reusable Deep Neural Networks: Applications to biomedical data”. For more details please visit www.ineb.up.pt - “Open positions”.

You can also find information in
http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=41805

The application deadline is February 1.

• Four-Year Scholarships in Autonomous Intelligent Machines and Systems at University of Oxford (UK). Received: 22/01/2014, Deadlines: 14/02/2014 and 14/03/2014.

UNIVERSITY OF OXFORD EPSRC Centre for Doctoral Training In Autonomous Intelligent Machines and Systems (AIMS)

Candidates are invited to apply to the University of Oxford’s 4-year Autonomous Intelligent Machines and Systems (AIMS) PhD (DPhil) programme. This new and exciting programme provides a completely new perspective to solving the issues of intelligent, autonomous systems by adopting an inter-disciplinary approach.

In the next decade our society will be revolutionised by Autonomous, Intelligent Machines and Systems, which can learn, adapt and act independently of human control. The UK has the opportunity to become a world-leader in developing these technologies for sectors as diverse as energy, transport, environment, manufacturing and aerospace. Our CDT will deliver highly-trained individuals versed in the underpinning sciences of robotics, computer vision, wireless embedded systems, machine learning, control and verification. The CDT will advance practical models and techniques to enable computers and robots to make decisions under uncertainty, scale to large problem domains and be verified and validated.

Holding one of these studentships will allow you to study the problems and opportunities in Autonomous, Intelligent Systems from many different perspectives, to understand the real-world challenges, and to make a contribution to solving some of the most significant problems society faces today.

Applications will be considered from those with degrees at undergraduate (1st or 2:1) and master’s level (distinction).

Funding is provided by EPSRC according to usual eligibility rules: Full studentships are available to UK candidates; and Partial studentships (fees only) are available for EU candidates. At present we are not able to offer these studentships to international candidates but we do welcome applications from self-funded students. For more details, to ask questions, or to learn how to apply, please contact the CDT at aims-cdt@robots.ox.ac.uk.

The application deadlines are 14th February 2014 and 14th March 2014.

Full detail of the programme and information on how to apply can be found at www.eng.ox.ac.uk/aims

• 5 year post-doctoral fellowship in Medical Image Analysis at the University of Edinburgh (UK). Received: 21/01/2014, Closing date: 07/02/2014.

The University of Edinburgh is advertising a number of 5 year fellowships that are expected to evolve into open ended tenured positions.

Of particular interest are applicants in Medical Image Analysis.

However, the School of Informatics is also looking for applicants in Algorithms for Big Data and distributed Systems, Cryptography, Automated reasoning, Cyber-security, Robotic hardware control, Geo-location and modelling of natural systems, Data-intensive biomedicine, Analysis of gene regulation data and data-driven modelling of gene networks controlling neural development, Design with data, Data-intensive social systems

Closing date 7 February 2014 (5pm).

Candidates likely to be considered for interview will already have a PhD and several publications in quality journals or top conferences.

Chancellor's Fellowships: Informatics

University of Edinburgh - School of Informatics

37,756 - 45,053 GBP

College of Science and Engineering

The University of Edinburgh, a global top 20 University located in one of the world`s finest cities, continues to invest in the future of its academic staff with the appointment of a cohort of 50 tenure-track Chancellor's Fellowships across all disciplines. These 5-year Fellowships are intended to support candidates at the start of their independent academic careers. Subject to satisfactory review at the end of year 3, the Fellow will then move to a standard University academic open-ended contract. It is anticipated that most appointees will be successful in obtaining an open ended contract.

Our people have been making their mark on the world for more than four centuries. They've explored space, revolutionised surgery, won Nobel Prizes, published era-defining books, paved the way for life-saving medical breakthroughs and laid the foundations for solving the mysteries of the universe.

We are looking for highly talented academics who will contribute to our continued achievement of excellence in research. Colleagues addressing data intensive research are encouraged. You will already be working in an independent research capacity and will be developing your reputation for high quality research. Chancellor's Fellows also make an important contribution to enriching student learning experiences through their research, teaching and personal tutoring. You will concentrate on research initially, but will be trained in teaching skills and progressively take up this core academic activity. As we are a global University, we are interested in candidates from any location and we can offer relocation support. The culture of the University is open and diverse and we strive to replicate that in our appointments.

Whilst we are proud of our rich heritage, we are a University that looks to the future. We are a global University with world leading interdisciplinary research capability, ideal for collaborative work as required. By joining our research-led community of international academics you will enjoy excellent career opportunities and support.

Appointment will normally be made on the Grade 8 Academic scale (37,756-45,053 GBP), dependent on experience. In exceptional circumstances a more senior appointment may be made.

This is an excellent opportunity to be part of one of the world's top Universities where you will develop your career in a stimulating, friendly and diverse environment that nurtures talent and rewards success.

We welcome applications from everyone irrespective of gender or ethnic group. As women and members of ethnic minorities are currently under-represented in posts at this level we particularly encourage applications from members of these groups.

For more information visit our website https://www.vacancies.ed.ac.uk/

Closing date: 7 February 2014 (5pm).

Committed to Equality and Diversity.

The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

• Job Opening for a PostDoc position in Social Media Mining / Multimedia Retrieval at the Johannes Kepler University, Linz (Austria). Received: 21/01/2014.

A position for a PostDoc researcher at the Johannes Kepler University (Department of Computational Perception), Linz, Austria.

If you are interested and have a strong background in one or more of the following areas, please have a look at the job announcement available at http://www.cp.jku.at/research/projects/P25655/open_position_postdoc.html

- social media analysis and mining
- multimedia processing and retrieval
- (context-aware) recommender systems

• Postdoctoral Position in Evolutionary Robotics at the IT University of Copenhagen (Denmark). Received: 21/01/2014.

The IT University of Copenhagen (www.itu.dk), Denmark invites applications for a full-time postdoctoral research position.

Starting date: immediately

The position is fully funded until the end of 2014.

Questions about the positions can be directed to Assistant Professor Sebastian Risi, IT University of Copenhagen, --LOGIN--ae97fa4ba212dba563c38658e82380c9itu[dot]dk .

We are seeking an outstanding postdoc with experience/interest in topics such as evolutionary robotics, neural networks, neuroevolution, deep learning, neuroplasticity, 3d printers, and artificial life.

The successful candidate will work closely with Sebastian Risi (www.cs.ucf.edu/~risi/) and Kasper Stoy (www.itu.dk/~ksty/) on an internally funded project on neuroevolution focussing on the advantage of having a human in the loop, evolution of morphology and control in the context of robotics. The specific project depends on the qualifications and interests of the applicant. Creative thinking, excellent problem solving skills, and good communication abilities in English are must-haves.

Application material (CV, list of publications, brief research statement) should be send to --LOGIN--ae97fa4ba212dba563c38658e82380c9itu[dot]dk .

General information:

The IT University of Copenhagen (ITU) is a teaching and research-based tertiary institution concerned with information technology (IT) and the opportunities it offers. The IT University has more than 50 faculty members. Research and teaching in information technology span all academic activities which involve computers including computer science, information and media sciences, humanities and social sciences, business impact and the commercialization of IT.

• Postdoctoral position in deep neural networks for source separation and noise-robust ASR at Inria Nancy (France). Received: 20/01/2014, Deadline: 10/06/2014.

POSTDOCTORAL POSITION

·SUBJECT: Deep neural networks for source separation and noise-robust ASR
·LAB: PAROLE team, Inria Nancy, France
·SUPERVISORS: Antoine Liutkus (--LOGIN--10c88880a9066ae8404bd22722b6a001inria[dot]fr ) and Emmanuel Vincent (--LOGIN--d24a2b1344ea2cc850d512b36d4af097inria[dot]fr )
·START: between November 2014 and January 2015
·DURATION: 12 to 16 months
·TO APPLY: apply online before June 10 at http://www.inria.fr/en/institute/recruitment/offers/post-doctoral-research-fellowships/post-doctoral-research-fellowships/campaign-2014/%28view%29/details.html?nPostingTargetID=13790 (earlier application is preferred)

Inria is the biggest European public research institute dedicated to computer science. The PAROLE team in INRIA Nancy, France, gathers 20+ speech scientists with a growing focus on speech enhancement and noise-robust speech recognition exemplified by the organization of the CHiME Challenge and ISCA's Robust Speech Processing SIG.

The boom of speech interfaces for handheld devices requires automatic speech recognition (ASR) system to deal with a wide variety of acoustic conditions. Recent research has shown that Deep Neural Networks (DNNs) are very promising for this purpose. Most approaches now focus on clean, single-source conditions. Despite a few attempts to employ DNNs for source separation, conventional source separation techniques such as still outperform DNNs in real-world conditions involving multiple noise sources. The proposed postdoctoral position aims to overcome this gap by incorporating the benefits of conventional source separation techniques into DNNs. This includes for instance the ability to exploit multichannel data and different characteristics for separation and for ASR. Performance will be assessed over readily available real-world noisy speech corpora such as CHiME.

Prospective candidates should have defended a PhD in 2013 or defend a PhD in 2014 in the area of speech processing, machine learning, signal processing or applied statistics. Proficient programming in Matlab, Python or C++ is necessary. Practice of DNN/ASR software (Theano, Kaldi) would be an asset.

• Postdoc position in EEG data analysis at Aix Marseille University (France). Received: 20/01/2014.

Postdoctoral position in Brain-Behavior study and EEG data analyses of the Coord-Age project at Aix Marseille University, France

Title: EEG data recording and analysis for the study of brain-behavior relationships in older Adults

Keywords: nonlinear dynamics, EEG, spatiotemporal data analysis

Context:
We seek a postdoctoral candidate who will take part in the collaborative Coord-Age project (Institut des Sciences du Mouvement and Institut des Neurosciences des Systèmes). The project consortium is composed of the Behavior Group (J.J. Temprado) and Theoretical Neuroscience Group (V. Jirsa), as well as other experts in biomechanics and motor control at the Institute of Movement Sciences. The postdoc will work under the direct supervision of Jean Jacques Temprado and Viktor Jirsa in collaboration with other members of the team (other postdocs in brain and behavior, modeling and neuromuscular synergies).
The successful candidates will study the relationship between dynamic mechanisms underlying the emergence of brain function and coordinated behavior. The objective of this research is to understand the correlated manifestations of variability at brain and behavioral levels. He/she will participate in the experimental and theoretical program and will be responsible for the EEG data analysis in older adults. Specifically, a successful candidate will have some prior experience in spatiotemporal data analysis (preference EEG/MEG, knowledge of PCA, ICA, etc.), nonlinear dynamic measures (mutual information, MSE, etc.) and excellent Matlab (maybe Python) skills. The candidate will be fully invested technically and conceptually in the experimental program in close collaboration with other postdocs. The results of the work will aid in the development of a larger conceptual framework on ageing and frailty, integrating other contributions from brain imaging and modeling.

Profile:
• PhD in Physics, Mathematics, Engineering, Neurosciences
• Expertise in nonlinear methods of time series analysis, EEG data processing, kinematic analysis
• Programming skills for data recording and analysis (Labview and Matlab)
• Fluency in spoken and written English is obligatory, French will be also appreciated.

Contract
• 12 months renewable based on performance, starting as of January 2014
• Salary: ~1900 Euros/month depending on experience (<3 years of > 3 years)
• Location: Campus of Luminy, Institute of Movement Sciences and Campus of La Timone, Institut de Neuroscience des Systèmes , Aix-Marseille University, France

Contact and how to apply:
JJ Temprado
Institute of Movement Sciences
Aix-Marseille University
--LOGIN--046046c7619827768272e81ecb85abdbuniv-amu[dot]fr

Email a CV, statement of interests, and at least two (2) letters of reference to Jean Jacques Temprado

Application deadline: The position is open until filled.

• Full time tenure-track position in the Computer Science Department at Université de Sherbrooke (Canada). Received: 20/01/2014, Deadline: 28/02/2014.

Tier 1 Canada Research Chair / Université de Sherbrooke

Université de Sherbrooke invites applications for a full time tenure-track position in the Computer Science Department and is looking for strong candidates, eligible for the Tier 1 Canada Research Chair program. Candidates from all disciplines of computer science are invited to apply.

The Canada Research Chair program is dedicated to fostering excellence in research and supports the scientific program of the most accomplished and promising researchers. Tier 1 Chairs have seven year terms, renewable once, and are intended for outstanding researchers acknowledged by their peers as world leaders in their fields. Its yearly research funding is enough to support around 4 Ph.D. students.

The Université de Sherbrooke has more than 40 000 students studying in all three cycles (B.Sc., M.Sc. and Ph.D.) and is among Canada's most innovative universities. It is situated 150 kilometres from Montreal, in the beautiful Eastern Townships region. Its Computer Science Department includes 19 professors organized in very active research teams, primarily in artificial intelligence (machine learning, data mining, planning), imaging and digital media (computer vision, medical imaging) and software engineering.

Applicants have until February 28th 2014 to apply. For more information, please contact me directly or see:
https://www.sofe.usherbrooke.ca/sofe-service/f?p=103:40:4827769410273::NO:RP,40:P40_T_PAGPREV,P40_T_OFFCLEINT:30,24702.

For more information on Tier 1 Canada Research Chairs, see:
http://www.chairs-chaires.gc.ca/program-programme/nomination-mise_en_candidature-eng.aspx.

• AVAST Fellowships in machine learning and big data at the Czech Academy of Sciences, Prague (Czech Republic). Received: 15/01/2014.

Two one-year fellowships for outstanding and enthusiastic researchers, PhD holders, from all over the world, open to cooperation with some of the scientific teams of the ICS (www.cs.cas.cz) and with AVAST specialists.

Please, see the announcement at
http://www.ustavinformatiky.cz/docs/postdoc_avast.pdf
for more information.

For further information please contact --LOGIN--f4c37de024efcbc18c079afd024d22b1cs[dot]cas[dot]cz .

• 15 Doctoral student positions at Helsinki ICT network (Finland). Received: 14/01/2014, Deadline: 14/02/2014.

The Helsinki Doctoral Education Network in Information and Communications Technology (HICT) is a collaborative doctoral education network hosted jointly by Aalto University and the University of Helsinki, the two leading universities within this area in Finland. The network involves at present over 50 professors and over 200 doctoral students, and the participating units graduate altogether more than 40 new doctors each year.

The activities of HICT are structured along six research area specific tracks:

- Algorithms and machine learning
- Creative technologies
- Life science informatics
- Networks, networked systems and services
- Software and service engineering and systems
- User centered information technology

The quality of research and education in both HICT universities is world-class, but the education is still practically free as there are no tuition fees in the Finnish university system. Helsinki has been ranked as the World's Most Livable City (Monocle, 2011), and is the capital city of Finland, which is in the top 10 of the most highly educated nations in the world (OECD, 2013), and has been selected as the world’s best country to live in (Newsweek, 2010).

The participating units of HICT have currently 15 fully funded positions available for exceptionally qualified doctoral students. For more information and application instructions, see http://www.hict.fi/.

• TechTransfer positions at the Music Technology Group (MTG), Universitat Pompeu Fabra, Barcelona (Spain). Received: 14/01/2014, Deadline: March 2014.

The MTG is part of a catalan initiative named TECNIO and through it there is a call for incorporating experienced researchers interested in carrying out TechTransfer activities.

More info: http://mtg.upf.edu/node/2914

• Postdoc or PhD Position in signal processing and machine learning at TU Berlin (Germany). Received: 14/01/2014, Full consideration: 26/01/2014.

MACHINE LEARNING & BIO-INSPIRED AUDITORY PROCESSING

The succesful candidate will develop and apply signal processing and machine learning techniques in order to detect and annotate acoustic events in an auditory scene analysis and an quality of experience setting. Project and position are part of an international collaborative project which is funded through the EU FET Open scheme (see brief description below).

Starting date: Immediate

Salary level: E-13 TV-L

The position is for a maximum of three years.

Candidates should hold a recent PhD-degree (Postdoc position) or Diplom-/Master- degree (PhD position), should have excellent programming skills, and should have good knowledge in the machine learning field. Candidates with research experience in Machine Learning or applications to auditory processing will be preferred.

Application material (CV, list of publications, abstract of PhD thesis (if applicable), abstract of Diplom-/Master/Thesis, copies of certificates and two letters of reference) should be sent to:

Prof. Dr. Klaus Obermayer
MAR 5-6, Technische Universitaet Berlin, Marchstrasse 23
10587 Berlin, Germany
http://www.ni.tu-berlin.de/
email: --LOGIN--9140cac5cf407c787a965dceb8ba1cc6cs[dot]tu-berlin[dot]de

preferably by email.

All applications received before January 26th, 2014, will be given full consideration, but applications will be accepted until the position is filled.

TUB seeks to increase the proportion of women and particularly encourages women to apply. Women will be preferred given equal qualification.

Disabled persons will be preferred given equal qualification.