2016

Ofertas diversas

• PhD position in Computational/Mathematical Neuroscience at Imperial College London (UK). Received: 21/12/2016, deadline: 31/01/2017.

The Centre for Neurotechnology at Imperial College London, in the lab of Claudia Clopath and Mauricio Barahona, is looking for a talented PhD student interested in working in the field of computational/mathematical neuroscience. 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:
The complex processing and behavioural capabilities of the brain are directly linked to the fact that neurons exhibit rich collective network dynamics. This dynamics emerges from the highly enmeshed and recurrent, yet structured, connectivity between neurons. Yet, it is poorly understood how the topology and connectivity of the network relate to the emerging dynamics. In this project, we will develop novel theoretical and computational approaches for neuroscience involving a tight interaction between state-of-the-art mathematical tools (graph theory, dynamical systems, stochastic processes, dimensionality reduction) in close connection with relevant data, models, and computer simulations of plastic neural networks.

The supervision:
The candidate will be co-supervised in the lab of Claudia Clopath in the Bioengineering Department (http://www.bg.ic.ac.uk/research/c.clopath/) and in the lab of Mauricio Barahona in the Mathematics Department (https://www.imperial.ac.uk/people/m.barahona). Imperial College London is the 3rd ranked university in Europe, in the top 10 worldwide, and is located in the city centre of London.

More information and how to apply:
Candidates should apply here:
http://www.imperial.ac.uk/neurotechnology/cdt/projects/plastic_spiking/

The deadline is 31st of January

• Faculty position at the interface between Neuroscience and Engineering at Imperial College London (UK). Received: 21/12/2016, deadline: 15/01/2017.

The Department of Bioengineering at Imperial College London is recruiting at the faculty level (equivalent to Assistant or Associate Professor) at the interface between Neuroscience and Engineering in the broad sense (e.g. developing experimental techniques, new technology, data analysis techniques, modelling tools for Neuroscience, neural-inspired engineering/computer science etc).

More details here:
http://www.nature.com/naturejobs/science/jobs/598515-lecturers-senior-lecturers-readers-open-call

Deadline: Jan 15th

• Two postdoc jobs in machine learning at the University of Oxford (UK). Received: 21/12/2016, deadline: 05/01/2017.

Postdoctoral Research Assistant in Machine Learning
Department of Engineering Science, Oxford

Grade 7: £30,738 - £37,768 p.a.

More details and applications here: https://is.gd/6PKtaR. The closing date for applications is 12.00 midday on 5th January 2017.

We are seeking a full-time Postdoctoral Research Assistant to join the machine learning research group at the Department of Engineering Science (central Oxford). The post is fixed-term to 31 May 2018. The post will involve work on two projects (sequentially): the first funded by Pearson and Nesta (until 28 February 2017) and the second by the Health Foundation (thereafter).

Your role in both projects is to develop novel probabilistic machine learning algorithms for economic data characterising the future of employment. The first project aims to shed light on the mix of skills and competencies that will be required for the types of jobs that the US and UK economies will need in 15 years’ time, and has been described in blog posts from Pearson and Nesta, and in an article from Quartz. The second project examines automation and computerisation in UK primary healthcare delivery; the project’s website is here.

You should possess a good first degree in Engineering, Computer Science, Mathematics, Statistics, Economics or similar, with specialisation in probabilistic models and have or are about to complete a PhD in a relevant area. 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. Informal enquiries may be addressed to Prof Michael Osborne (email: --LOGIN--7ee9004872512e8e75a41b80b3099e5brobots[dot]ox[dot]ac[dot]uk ).

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

Postdoctoral Research Assistant in Machine Learning by Bayesian Optimisation for Experimental Research in Quantum Nanodevices
Department of Materials, Parks Road, Oxford

Grade 7: Salary in the range £30,738 - £34,576 p.a.

More details and applications here: https://is.gd/mXuMDF.
The closing date for applications is 12.00 midday on 5th January 2017.

We are seeking to appoint a Postdoctoral Research Assistant whose aim will be to harness Machine Learning techniques for the process of scientific discovery. Duties will include development and application of Bayesian Optimisation for measurements of single-molecule devices, and training them on simulated experimental data. The post is available for up to 3 years and is under the supervision of Professor Andrew Briggs.

The project's overarching aim is to identify properties of molecular systems that are desirable in future information processing, especially lower power switching to minimise energy costs (and consequent environmental impact). You will engage and work collaboratively with others involved in the programme including Professor Michael Osborne, Department of Engineering Science, who will supervise the development of the machine learning methods.

You will have a good first degree and a completed doctorate (or nearly completed) in a relevant discipline. You will have expertise and experience in software engineering, along with demonstrated expertise in model-based machine learning.

The Department of Materials is actively promoting the provision of a family friendly working environment and together with the University of Oxford recognises the demands of work/life balance. Therefore for this project we encourage applications from candidates who wish either to hold these positions on a full-time, or part-time basis or need flexibility in their working hours and will discuss these opportunities with shortlisted applicants at interview.

• Open PhD Positions on network and system security at TU Braunschweig (Germany). Received: 21/12/2016, deadline: 01/02/2017.

The Institute of System Security at TU Braunschweig is looking to fill the positions of two PhD students (Salary level TV-L 13). The successful applicants will work on network and system security in the research projects INDI [1] and VAMOS [2].

Both positions are funded for two years and can be extended. The deadline for applications is February 1st, 2017.

The full job description is available here: https://www.tu-bs.de/sec/jobs

• Research position available in ENergy Efficient Adaptive Computing at Bristol University (UK). Received: 20/12/2016, closing date: 04/01/2017.

Research Associate Senior/Research Associate in ENergy Efficient Adaptive Computing with multi-grain heterogeneous architectures (ENEAC)

Based in the Department of Electrical and Electronic Engineering at Bristol University, you will investigate the possibility of creating energy efficient computing systems based on CPU+FPGA+GPU hybrids.

In particular the post will focus on developing energy efficient adaptive systems in which tasks are assigned to the computing resource that minimizes overall energy requirements. These systems will vary their voltage, frequency at run-time to adapt to the requirements of the application. Predicting optimal execution resources during application execution and minimizing overheads during state transitions are key milestones required for the success of the project.

The combination of general purpose CPUs, reconfigurable fabrics (FPGAs) and GPUs will be targeted with a common high-level programming language such as C++ or OpenCL (Open Computing Language) with special consideration given to functionality and performance portability. A run-time system able to distribute and manage task execution among the different computing resources currently available in the group will be used as part of the research activities.

The researcher will collaborate with industrial partners that will donate the devices embedding the multi-core CPU and GPU technology that will directly interface with a FPGA device in the same chip.

The ideal candidate will have extensive C/C++ programming expertise for multi-core CPU, GPUs and/or FPGAs. You should also be familiar with high-level synthesis tools from major FPGA vendors such as Xilinx VIVADO HLS toolset for Zynq devices and have a PhD degree in Microelectronics or related discipline.

This is a full-time open ended contract with funding up to 5 July 2019.

Informal enquiries can be made to: Dr Jose Nunez-Yanez --LOGIN--8f9bf9c9adb1249a48885dc0bba21e09bristol[dot]ac[dot]uk

http://www.bristol.ac.uk/jobs/find/details.html?nPostingId=5380&nPostingTargetId=20115&id=Q50FK026203F3VBQBV7V77V83&lg=UK

• Assistant/Associate Professor Positions in Computer Science at Ca' Foscari University of Venice (Italy). Received: 18/12/2016, deadline: 09/01/2017.

The Dept. of Env. Science, Informatics and Statistics (DAIS) of Ca' Foscari University of Venice (UCF) announces an open faculty position in Computer Science at the senior level - Tenured Associate Professor - sector 01/B1 - INF/01 (Informatica).
DAIS invites interested candidates to electronically apply for the position. The call will be published soon (by the end of Dec 2016) on this page: http://intra.unive.it/plapps/bandi/common/showcat.pl?categoria=pdp2&descrizione=Professore+II+fascia

Further open positions as Tenure Track Assistant Professor or Tenured Associate Professor will be opened during the next year.

We invite all applicants, interested in the upcoming or future open positions, to submit an expression of interest to --LOGIN--8803c560304987168ef782734a4661aaunive[dot]it

Deadline for sending an expression of interest
Jan 9th, 2017

Requirements

Phd, good publication record, participation/leadership in research projects, experience in teaching at graduate/undergraduate levels in English and/or Italian.

According to the Italian legislation, to apply for a Tenured Associate Professorship candidates have to possess an Italian Scientific Habilitation for this position, or they have to hold an equivalent academic position (associate professor) at their current Italian or foreign university. Moreover, in order to apply for a Tenure Track Assistant Professorship, candidates must have completed three years of postdoc research.

Computer and Data Science at Ca' Foscari

Computer Science at UCF has a relatively long tradition. Since more than 25 years we offer a complete cycle of study in Computer Science, including Bachelor, Master, and PhD (1st, 2nd, and 3rd level, according to the Bologna framework), where the instruction language of the Master/PhD programs is English. Our group of researchers and instructors also includes statisticians, along with we designed specializations in “Data Science” within our degrees.

Our faculty is also involved in offering novel educational programs. Besides the new professional master in “Digital Humanities”, we are planning an innovative Bachelor course in “Digital Management”, which offers students the possibility of acquiring advanced skills on ICT, Management and Economics, in strict collaboration with companies and startuppers.

The main research activities on “Computer and Data Science” at DAIS are organized around two centers: “Center for AdvanCes in Autonomous, DIstributed and pervAsive systems” (ACADIA) and “Center for Knowledge, Interaction and Intelligent Systems” (KIIS). The ACADIA center aims at contributing effective answers to the scientific and technological issues underlying several challenges related to the development of software and systems, including distributed and cloud ones, with characteristics of dependability, security, and correctness. The KIIS center emphasizes the research challenges concerning three main dimensions, namely data and knowledge management, multimodal interactive interfaces, and intelligent artificial and computer vision systems that mimic human cognitive abilities.

How to submit an expression of interest

Submit a complete CV with an accompanying statement of purpose letter to --LOGIN--8803c560304987168ef782734a4661aaunive[dot]it by Jan 9th, 2017. The CV (written in English or Italian) should include the following information:

- complete personal details

- contact information (email, phone, skype id)

- bibliometric indices (Scopus/Google Scholar/...)

- education and qualifications

- research and teaching experience

- complete list of publications

Short-listed candidates will be invited for an interview/seminar.

• Academic positions in reconfigurable computing and field-programmable technology at Imperial College London (UK). Received: 14/12/2016, closing date: 16/01/2017.

Please encourage outstanding researchers, especially those in reconfigurable computing and field-programmable technology, to apply for academic positions at the Department of Computing at Imperial College - see advertisement for:

Lectureship/ Senior Lectureship in Artificial Intelligence and Machine Learning
Lectureship/ Senior Lectureship in Computer Systems and Security
Lectureship/ Senior Lectureship in Cyber-Physical System

at:

http://www.imperial.ac.uk/computing/job-vacancies/

Closing date: 16 January 2017 (midnight GMT).

Successful lectureship candidates often have several years' experience of post-doctoral research; exceptional PhD candidates who will soon complete their doctoral studies can also apply, but they should also consider Imperial College Research Fellowships:

https://www.imperial.ac.uk/research-fellowships

• PhD studentship in 2P imaging and population coding at the University of Edinburgh (UK). Received: 13/12/2016, deadline: 09/01/2017.

A fully funded PhD studentship is available in the Precision Medicine DTP at Edinburgh

“Deficits and rescue of neuronal population coding in the sensory cortex of mouse models of autism spectrum disorders”

This project will be jointly supervised by Nathalie Rochefort, Peter Kind (CIP, Edinburgh) and Matthias Hennig (Informatics, Edinburgh). The studentship is available to EU citizens.

For more information, and to apply, go to:

http://www.ed.ac.uk/usher/precision-medicine/how-to-apply/deficits-and-rescue-of-neuronal-population-coding

For informal inquiries, please contact Nathalie Rochefort:
--LOGIN--75981cb962c574fc1d20edc2cd8cee7eed[dot]ac[dot]uk

• Funded PhD and MS Programs in Imaging Science at RIT (USA). Received: 12/12/2016, closing date: 15/01/2017.

Imaging Science is the interdisciplinary study of imaging and image analysis in all of its forms and uses, ranging from using deep learning for understanding scenes to studying human eye movements to developing the next generation in remote sensing technologies.

The Chester F. Carlson Center for Imaging Science at the Rochester Institute of Technology is inviting applications to its Ph.D. and M.S. programs in Imaging Science.

We have extremely active research groups in computer vision, human vision, machine learning, virtual reality, remote sensing, optics, medical imaging, astronomy, and more.

Graduate students at both the M.S. and Ph.D. levels are typically funded as Graduate Teaching Assistants during their first year, and as Research Assistants thereafter. Students at both levels are paid stipends and do not pay tuition.

More details, including program structure, applications, and faculty members are available on our website: https://www.cis.rit.edu/

The closing date for applications is January 15, 2017.

http://www.cis.rit.edu/graduate-programs/graduate-application-process

• Lecturer position in Machine Learning at the University of Amsterdam (The Netherlands). Received: 12/12/2016, closing date: 18/12/2016.

A temporary position as lecturer in Machine Learning is available at the University of Amsterdam.

The main task is to lecture several Machine Learning courses at undergraduate (BSc) and graduate {MSc ) level. Next to teaching the courses, an important part of the job is orchestrating all of the Machine Learning courses that we provide in no less than six educational programs. The focus will be on the undergraduate level.

We like to invites candidates with good teaching qualities to apply for a position as teacher in Machine Learning.

For more details:
http://www.uva.nl/en/about-the-uva/working-at-the-uva/vacancies/item/16-552-teacher-machine-learning.html?m=

• Academic post in Human-Robot Interaction at the University of Edinburgh, Scotland (UK). Received: 12/12/2016, closing date: 20/02/2017.

Applications are invited for a Lecturer or Senior Lecturer or Reader in Human-Robot Interaction to join the School of Informatics, at the University of Edinburgh. The interdisciplinary post is based within the School.s Institute of Perception, Action and Behaviour and/or the Institute of Language, Cognition and Computation.

The School of Informatics plays a leading role in the EPRSC Centre for Doctoral Training in Robotics and Autonomous Systems and we have recently established the Edinburgh Centre for Robotics, with substantial infrastructure funding for robotic platforms and supporting facilities.

The successful candidate will have a PhD; experience as an established researcher in Human-Robot Interaction; enthusiasm to undertake original research including leading a research group; ability to engage with undergraduate and postgraduate teaching and academic supervision; and the ability to be involved in enhancing eLearning and on-line teaching initiatives.

Candidates with an interest in interdisciplinary approaches to human-robot interaction, especially communication between humans and robots, both verbal and non-verbal, using a range of modalities, are particularly encouraged to apply, but applications in other related areas will also be considered.

In the case of an exceptional applicant, an appointment may be available as a Senior Lecturer or Reader (Grade UE09). Job descriptions for each level are outlined at the URL below. The level of appointment would be determined by the selection panel following interview in Edinburgh in early 2017.

Appointment will be full-time and open-ended.

Lecturer Grade: UE08 (39,324 - 46,924 pounds)
Senior Lecturer or Reader Grade: UE09 (49,772 - 55,998 pounds)

Closing date: 20 February 2017

More details and the application link can be found at:
https://www.vacancies.ed.ac.uk
Vacancy Ref: 038332

Robotics Technical Contact Person:
Subramanian Ramamoorthy --LOGIN--6f136f63b12235fab4ac4004339607b0staffmail[dot]ed[dot]ac[dot]uk

Human Communication Contact Person:
Alex Lascarides --LOGIN--f98f5a442844ce3b7ee54998dc35eebbinf[dot]ed[dot]ac[dot]uk

Application Admin Contact Person:
Irene Madison --LOGIN--02e88b0445f5a8c23dd4f2983638b375staffmail[dot]ed[dot]ac[dot]uk

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

• Assistant Professor Opening in Computer Vision or Computational Imaging/Photography at RIT (USA). Received: 08/12/2016, deadline: 17/01/2017.

RIT Seeks Assistant Professor of Computer Vision - Computational Imaging/Photography

DESCRIPTION:

The Chester F. Carlson Center for Imaging Science at the Rochester Institute of Technology invites candidates to apply for a tenure-track Assistant Professor of Imagining Science position. We are seeking candidates with research expertise in the field of computer vision, machine vision, or computational imaging/photography. Preference will be given to candidates whose research programs complement or extend the existing and well-established expertise within the Center including multi-view geometry, ancient document restoration, astronomical and planetary imaging, biomedical imaging and visualization, computational imaging, micro- and nano-scale imaging, remote sensing, human vision, machine learning, scene understanding, and end-to-end hardware/software imaging systems.

The successful candidate will be expected to advise B.S., M.S. and Ph.D. students, teach undergraduate and graduate level courses in the core imaging science curriculum, offer elective courses in the candidate’s area of research, and develop an externally funded research program. More information on the activities of the Center can be found at http://www.cis.rit.edu.

REQUIRED QUALIFICATIONS:

• A recently earned doctoral degree (Ph.D. or international equivalent) by the hire date (expected to be August 15, 2017)

• A record of refereed scholarly publication in computer vision, machine vision, or computational imaging/photography

• The ability to teach CIS core courses related to image processing, computer vision or scientific computing

• The ability to teach elective courses in their field of expertise at the undergraduate and graduate levels

• Potential to obtain external research funding

• Ability to communicate effectively

• Ability to contribute in meaningful ways to the college’s continuing commitment to cultural diversity, pluralism, and individual differences

HOW TO APPLY:

Apply online at http://apptrkr.com/918841

Submit your curriculum vitae and a cover letter addressing the required qualifications, your research and teaching interests, the names and email addresses for three references, and a contribution to diversity statement.

Contact the search committee with questions on the position at --LOGIN--4989edacd9f1347521326069a898d477cis[dot]rit[dot]edu . Review of applications will begin immediately and continue until a suitable candidate is found. Application materials will be accepted through 1/17/2017.

RIT does not discriminate. RIT promotes and values diversity, pluralism and inclusion in the work place. RIT provides equal opportunity to all qualified individuals and does not discriminate on the basis of race, color, creed, age, marital status, sex, gender, religion, sexual orientations, gender identity, gender expression, national origin, veteran status or disability in its hiring, admissions, educational programs and activities.

• Robotics Faculty Positions at Oregon State University (USA). Received: 08/12/2016, full consideration date: 15/12/2016.

Oregon State University (OSU) Robotics program invites applications for one or more full-time tenure-track and/or tenured faculty positions to begin Fall 2017. All areas relating to robotics will be considered. As one of the nation’s leading Robotics programs, OSU seeks top-quality candidates who will help us continue to grow.

Candidates should hold a Ph.D. in robotics, mechanical engineering, electrical and computer engineering, computer science, or other relevant discipline by the start date of employment, have a demonstrated record of scholarship, and have experience working with real robots. The successful candidates will have office and laboratory space physically located with the existing Robotics group, and will have an administrative home most appropriate to their area of expertise within the College of Engineering’s School of Electrical Engineering and Computer Science (EECS) or School of Mechanical, Industrial and Manufacturing Engineering (MIME). As a Land/Sea/Air/Space/Sun Grant institution, with strong ties to oceanography and the NOAA fleet, as well as the host of an FAA UAV test site, OSU offers many opportunities to collaborate across disciplines and utilize Robotics as an enabling technology.

Appointment is anticipated at the Assistant Professor rank, but candidates with exceptional qualifications may be considered for appointment at the rank of Associate Professor or Professor. Applicants should demonstrate a strong commitment and capacity to initiate new funded research as well as to expand, complement, and collaborate with existing research programs within and outside of the OSU College of Engineering. Further, applicants should demonstrate a strong commitment to graduate and undergraduate teaching, including developing new courses related to their research expertise.

Oregon State is located in Corvallis, at the heart of Oregon’s Willamette Valley. Surrounded by forests and mountains, Corvallis combines the amenities of a college town with ample opportunity for outdoor recreation and fresh local food. Portland, the Cascade mountain range, and the Oregon Coast are all within easy reach.

Oregon State University has a strong institutional commitment to diversity and multiculturalism, and provides a welcoming atmosphere with unique professional opportunities for leaders from underrepresented groups. OSU seeks diversity as a source of enrichment for our university community. We are an Affirmative Action/Equal Opportunity employer, and particularly encourage applications from members of historically underrepresented racial/ethnic groups, women, individuals with disabilities, veterans, LGBTQ community members, and others who share our vision of an inclusive community. The College of Engineering ranks high nationally in terms of the percentage of women faculty, and the university supports dual-career applications.

Apply online at http://jobs.oregonstate.edu/postings/34121 (posting: P00825UF) with the following documents: A letter of interest; vita; a two-page statement of research interests; a one-page statement of teaching interests; a one-page statement on past efforts and future plans to promote equity and inclusion; and names and contact information for at least three references. To be assured full consideration, applications should be received by December 15, 2016.

• Postdoctoral position in Pattern Recognition, Machine Learning and Computer Vision for the analysis of neuroimaging, biomedical and biological data at IIT (Italy). Received: 07/12/2016, full consideration date: 31/01/2017.

The Pattern Analysis and Computer Vision department (PAVIS) at IIT (http://www.iit.it/pavis.html) is looking for a highly qualified candidate in the field of Computer Vision, Pattern Recognition, Machine Learning, and Image Analysis interested and possibly with some experience on Biomedical Data Analysis.
PAVIS focuses on the analysis and understanding of multimodal data, like signals, images, videos and patterns in general, having a wide expertise on image and signal processing, computer vision, pattern recognition and machine learning. The attention is on the design of intelligent systems for real applications, especially related, but not limited, to surveillance & security and biomedical imaging.
The main mission of PAVIS is to design and develop innovative computational frameworks for advanced image-based and video-based data analysis, characterized by the use of smart sensors and advanced imaging devices. PAVIS plays an active role in supporting other research units at IIT providing scientists in Neuroscience, Nanophysics and other IIT departments/centers with ad hoc solutions.
For this reason, previous multidisciplinary experience is an added value which will be properly considered.

The biomedical imaging team is involved in activities concerning:
• Biomedical image analysis;
• Analysis of multimodal neuroimaging data (functional and structural connectomics);
• Biological signal/image/video processing;
• Analysis of microscope optical imaging;
• Animal behavior analysis (classification and abstraction).

The ideal candidate must be knowledgeable within one or more of the following subjects: probabilistic graphical models, topic models and Bayesian non-parametric, relational learning, deep learning, RBMs, neural networks and auto-encoders, sparse and dictionary learning, kernel methods and manifold learning, graph-based learning and spectral analysis.
Candidates to this position have, therefore, a Ph.D. in computer vision, machine learning, pattern recognition or related areas, and research experience and qualification should follow the same lines. Evidence of top quality research on the above specified areas in the form of published papers in top conferences/journals and/or patents is mandatory. A keen interest in biomedical applications is of course necessary. Strong programming skill is required.
Experience in the preparation and management of research proposals (EU, US, national) and a few years of postdoc experience, either in academia or industrial lab, will also be duly considered. The scientist is expected to publish his/her research results in leading international journals and conferences. She/he is also expected to contribute to the set-up of new project proposals, participate in funding activities, supervising PhD candidates and collaborate with scientists from different disciplines.
The position is offered for a period of 2 years. Salary will be commensurate to qualification and experience and in line with international standard.
Further details and informal enquires can be made by email to --LOGIN--d0728d0f6c6e978f32ad89f2744940e4iit[dot]it quoting PAVIS-PD 73154 as reference number in the subject.
Please send you application to --LOGIN--630c4f9471779b10b75172f6c93ca596iit[dot]it , quoting PAVIS-PD 73154 as reference number, along with a curriculum listing all publications (possibly including pdf of your most representative publications), a research statement describing your previous research experience and outlining its relevance to the above topics and 2 references letters.
This call will remain open and applications will be reviewed until the position is filled, but for full consideration please apply by January 31, 2017.

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. Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce.

• Research Position in Neural Computation at the Ruhr University Bochum (Germany). Received: 06/12/2016, deadline: 15/12/2016.

A full-time position as Research Assistant in integrative neuroscience and cognitive science is available immediately in the group of Prof. Sen Cheng at the Institute for Neural Computation, Ruhr University Bochum in Germany. The research will focus on robot-assisted modeling of spatial navigation paradigms in rodents. Robotic simulations, as well as, physical robots will be used to develop and evaluate the desired models.

The position will be funded at the standard salary scale TV-L E13. It is initially limited to 1 year with the possibility of extension, depending on the availability of funding.

Candidates should have an excellent degree in neuroscience, physics, mathematics, engineering, or a related field. Competence in mathematical modeling, and excellent programming skills (Python, C/C++, Matlab, OpenCV, Qt) are mandatory. Candidates are further required to have a strong background in at least one of the following fields: robotics, computational neuroscience, or cognitive modeling. Experience with interdisciplinary research in integrative neuroscience and cognitive science and with collaborative research would be a further asset.

The working language at the Institute for Neural Computing is English. Further information is available at www.rub.de/cns.

To apply, please send a statement of your research interests, academic transcripts, and a complete CV to --LOGIN--71fbd5874d97d65f39f1e5aca45d669cini[dot]rub[dot]de . Please, also request from at least two academic referees that they send letters of reference directly to the same email address.

The closing date for the submission of applications is December 15th, 2016, but applications will be considered until the position is filled.

The Ruhr University Bochum provides a dynamic research environment in neuroscience and cognitive science. The Institute for Neural Computation unifies various core competencies extending from experimental and theoretical neuroscience to machine learning and robotics.

The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities.

• Researcher positions in computational visual neuroscience at ATR Brain Labs, Kyoto (Japan). Received: 01/12/2016, deadline: 31/12/2016.

ATR Brain Labs in Kyoto, Japan has two open positions in computational visual neuroscience.

Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan, has open positions for researchers in computational visual neuroscience. Our institute has a long tradition in computational neuroscience and has recently been promoting theoretical studies of hierarchical vision models based on statistical learning theory (a.k.a. deep learning), with the emphasis on the bidirectional (feedforward and feedback) computation in the visual cortex. We seek for autonomous and motivated applicants who are interested in working on this research theme in collaboration with our research group.

Project outline:

It is well known that, in the visual cortex, a number of visual areas form a hierarchy with low-level to high-level feature representations, and perform bidirectional interactions through the feedforward and feedback circuitry. Such bidirectional computation has conventionally been considered to play roles in visual perception, imagery, information completion, selective attention, etc. However, our research group is considering that bidirectional computation may be far more essential in the visual system than previously thought. For example, we have recently released a theoretical model that proposes a potential role of bidirectional computation in visual representations of objects and facts in the higher visual cortex (http://dx.doi.org/10.1101/086637). We will continue to pursue other roles of the bidirectionality in various visual functions of the brain through developing new computational models based on learning theory and evaluating their visual processing capability, performance, and explainability of neuroscientific data. Furthermore, we are also interested in building a larger-scale hierarchical visual model that integrates various computational models developed in our group as well as pursuing its applicability in realistic problems. More on the project can be seen here: http://www.cns.atr.jp/~hosoya/project_outline.pdf.

What's ATR?

ATR is a private company specialized to basic science founded in 1986. It is renowned for its long and unique tradition of computational neuroscience since the foundation, emphasizing the importance of mathematical understanding of computation in the brain for the technological innovation. Research in ATR is highly international and involves a number of scientists from all over the world for collaboration. The institute is located in Keihanna scientific city surrounded by the second largest city of Japan, Osaka, and two beautiful old capitals of Japan, Kyoto and Nara.

Requirements for Researchers:

Applicants must have a Ph.D. or be expected to get one before starting the job. The applicants are required to show expertise in a mathematical area, as well as strong interest in neuroscience and good programming experience. In particular, expertise in machine learning will be considered important. Additional knowledge in computation vision and computational neuroscience will also be welcome.

Number of openings:
Two

Employment conditions:

Position : Full-time Researcher
Tenure : Single year based contract, renewable based on evaluation
Treatment: Based on individual performance
Work Location: Advanced Telecommunications Research Institute International (ATR)
2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan

Application materials:

Please submit the following five materials to the contact address below, either in a printed or in an electronic form:
• 1 CV
• 2 List of publications
• 3 Reprints of 1-3 major publications of past projects
• 4 Essay (up to two pages in A4 or letter size) describing summary of your previous research, interest in our project, and other skills and experiences potentially useful for research.
• 5 Recommendation letters from two or more researchers
* If submitted in printed form, original documents will not be returned.

Judging system:

After documentary examination, we ask for presentation and interview if needed.

Starting date:
Soon (negotiable)

Deadline for application:
Opens until positions are filled.

Contact:
Department of Dynamic Brain Imaging
ATR Cognitive Mechanisms Laboratories
2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan
Email: --LOGIN--5d7f3c938e7d66ad7aa18cbd7f482c73atr[dot]jp

Use of personal data:

All personal data received will be properly managed and only be used for the purpose of recruitment.

• Postdoctoral Position in Signal processing at CEA Grenoble (France). Received: 30/11/2016, deadline: 31/12/2016.

Postdoctoral Position in Neural engineering / Signal processing with the focus on functional Brain Computer Interface at CEA Grenoble, France, funded by an international mobility program.

Applicants are invited for the research position in the field of Neural engineering / Signal processing with the focus on Brain Computer Interface (BCI) with multiple degrees of freedom.

Context: The goal of the Brain Computer Interface (BCI) Project at CLINATEC® (CEA, Grenoble) is to provide the proof of concept that it is possible to control complex effectors, such as a 4-limb exoskeleton, thanks to brain activity monitoring and decoding to open new opportunities to motor disabled (in particular for tetraplegic subjects). A wireless 64- channel ElectroCorticoGram (ECoG) recording implant WIMAGINE® have been designed for long-term clinical application. The clinical research protocol “BCI and tetraplegia” (PI Prof. Benabid) recently obtained authorizations to perform a clinical trial.

The work will be performed in CLINATEC (CEA, LETI, CLINATEC) at the French Alternative Energies and Atomic Energy Commission in Grenoble.

http://www.cea.fr/english/Pages/research-areas/health-and-life-sciences.aspx

http://www-leti.cea.fr/fr/Decouvrez-le-Leti/Les-plateformes-d-innovation2/Clinatec

Mission: The applicant will intervene during the phase of clinical trial of ECoG based BCI in order to optimize the decoding algorithms and/or to elaborate training strategies. In a multidisciplinary environment composed of clinicians, engineers and researchers in mathematics, informatics, electronics and biology, roles of the applicant will be to optimize and implement robust algorithms of adaptive real-time ECoG signal decoding, to develop effector dependent control strategies, including complex effector with multiple degrees of freedoms such as a 4-limb exoskeleton. Postdoctoral fellow will directly participate at clinical trial, contribute to strategies and tools to support patients’ re-education, define quality criteria allowing to quantify patients’ progress and satisfaction etc.

Profile:
The ideal candidate will have a doctoral degree, or equivalent, in a relevant discipline (Biomedical Engineering, Computer Science, Applied Mathematics, Physics). Programming in Matlab and possibly C++ will be a part of the project. Candidates with skills and experience in BCI, EEG/ECoG data analysis, real time signal processing, and/or patients training will be preferred. French speaking preferred.

Administrative:
Funding is provided by an international mobility program for postdoctoral researchers. The applicant shall not have resided or carried out its main activity in France for more than 12 months in the last 3 years. The deadline is the end of December 2016. The start of the contract (18-month duration, potentially renewable once) is expected June-July 2017.

Salary is commensurate with experience and the position carries a full social security and health coverage.

Applications including a CV, a motivation letter and the names of two references must be sent electronically to Dr. Tetiana AKSENOVA (--LOGIN--006a23783ebc5a1a09b4ed6e9cd7681ecea[dot]fr ), Mr. Guillaume CHARVET (--LOGIN--820af092390faededd2ef066cc7c6633cea[dot]fr ). Selected candidates will be interviewed in Grenoble.

For more information please e-mail to Dr. Tetiana AKSENOVA (--LOGIN--006a23783ebc5a1a09b4ed6e9cd7681ecea[dot]fr ) and Mr. Guillaume CHARVET (--LOGIN--820af092390faededd2ef066cc7c6633cea[dot]fr ).

References:

Eliseyev, A., Mestais, C., Charvet, G., Sauter, F., Abroug, N., Arizumi, N., ... & Benabid A.-L. (2014, August). CLINATEC® BCI platform based on the ECoG-recording implant WIMAGINE® and the innovative signal-processing: preclinical results. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 1222-1225). IEEE.

­Schaeffer, M. C., & Aksenova, T. (2016, September). Hybrid Trajectory Decoding from ECoG Signals for Asynchronous BCIs. In International Conference on Artificial Neural Networks (pp. 288-296). Springer International Publishing.

­Eliseyev, A., & Aksenova, T. (2014). Stable and artifact-resistant decoding of 3D hand trajectories from ECoG signals using the generalized additive model. Journal of neural engineering, 11(6), 066005.

• Post-doc position in Neuroeconomics at the Institute of Cognitive Neuroscience, Lyon (France). Received: 28/11/2016.

Laboratory of Neuroeconomics, Reward and Decision making, Institute of Cognitive Neuroscience, Lyon, France

http://dreherteam.cnc.isc.cnrs.fr/en/

Applications are invited for a postdoctoral position to study neuroeconomics, decision making, motivation and reward processing using model-based fMRI in healthy subjects and intra-cranial recordings in patients with epilepsy.

The Institute of Cognitive Neuroscience is located in Lyon, a thriving university city. The institute hosts an interdisciplinary community with access to several brain imaging facilities, such as one research-dedicated Siemens scanner, one MEG, one simultaneous TEP-fMRI, EEG, TMS and other useful resources.

The current project seeks a better understanding of the neurocomputational basis of social decision-making in humans. We will adopt a combination of interdisciplinary perspective, combining Bayesian models and behavioural experiments in humans to investigate the mechanisms of decision making processes in social context. Our main hypothesis is that when we are in an interactive social setting, our brain performs Bayesian inferences using probabilistic representations of other individuals’ intentions and cooperativeness. The project will be supervised by Dr. Jean-Claude Dreher.

Funding is available for an initial period of 2 years, up to 3 years. Candidates, preferably with model-based fMRI experience and familiarity with computational models such as Bayesian inference and POMDP, should send their CV, statement of research interests and representative publications to: Jean-Claude Dreher, --LOGIN--8434253ab988ac0707af2f91708bd576isc[dot]cnrs[dot]fr

• Post-doctoral researcher position in Wireless Communication at CentraleSupélec, Rennes (France). Received: 25/11/2016, deadline: 30/11/2016.

We are offering a full-time Research Scientist (post-doctoral) position in the area of Wireless Communications with a particular emphasis on IoT and low MTC devices for future wireless networks related to a French national research project. The project will be based on the extremely active standardization in the field of Cellular IoT. The goal is to evaluate and to propose improvements to these emerging standards considering the physical layer and the radio resource management level. Coverage aspects, data link quality and energy consumption will be used for comparison as performance criteria.

Employment: The initial appointment will be for one year at the SCEE (Signal, Communication & Embedded Electronics ) research group of CentraleSupélec engineering school campus of Rennes in France, with the possibility of extension depending on the candidate’s performance. The gross salary is about: 2602,22€/month. Position is available starting from 1st March 2017.

Qualification: You must have a PhD degree in electrical engineering or in a related field and have an excellent publication record in top IEEE journals and/or conferences. Experience with low rate MTC devices like IoT, IoT PHY waveforms and standards, and RRM techniques for dense massive networks, and experience in collaborative projects is advantageous. The position requires sound verbal and written communication skills in English. French is not required but may be highly advantageous.

Application: The application (including CV, representative publications, brief research statement, and 3 names of referees) should be sent by email to Prof. Jacques Palicot --LOGIN--8b2c9e78b2fda95c4ffeb8e2a409fc9bcentralesupelec[dot]fr and Dr. Carlos Faouzi Bader ​--LOGIN--ed1398896171e0ec35cad9b3c0b56ccbsupelec[dot]fr .

We may contact interesting applicants once we receive the application. Therefore, please submit your application as early as possible. Application deadline: November 30, 2016.

• 5 PhD studentships in interdisciplinary infancy research at Lancaster University (UK). Received: 21/11/2016, deadline: 15/02/2017.

5 PhD studentships in interdisciplinary infancy research for entry in October 2017

See www.lancaster.ac.uk/leverhulme-dsp

(Note: This programme takes a cognitive science approach to infant development, and computational modelling is explicitly part of the research methods.)

Deadline for applications: 15 February, 2017

Lancaster University, one of the top 10 universities in the United Kingdom, has one of the largest infancy research groups in Europe. Here, we study cognitive, language, social and emotional development in populations ranging from foetuses to pre-school children with a large range of methods (e.g., eye tracking, EEG, computational modelling, NIRS, 4D ultrasound).

We are now inviting applications for five fully funded PhD scholarships for entry in October 2017. Four of the scholarships will cover UK/EU fees, and the fifth will additionally cover the higher overseas (international) fees. All scholarships provide a living stipend (currently £14,296) and an exceptionally generous training and research allowance for three years. These scholarships are funded through the Leverhulme Trust Doctoral Scholarship Programme in Interdisciplinary Research on Infant Development, which will provide a total of 22 PhD studentships over six years. 2017 is the third year of this programme.

The Programme is based in the Psychology Department of Lancaster University (UK; see http://www.lancaster.ac.uk/psychology/). Links with other departments in the University (Linguistics, Computer Science, Mathematics and Statistics) exist and will be further developed.

The studentships will have a strong interdisciplinary focus with the expectation to employ multiple methodologies.

HOW TO APPLY

Applicants should have an excellent undergraduate, and normally Masters degree, in Psychology or a related discipline. Before sending your application you must contact an individual staff member to discuss your specific interests and to develop a 1500-word research proposal as part of your application (see http://wp.lancs.ac.uk/leverhulme-dsp/academic-staff/ for staff research interests). Your application should identify your planned supervisor and (potentially) co-supervisor.

You should apply online to the University through the usual route http://www.lancaster.ac.uk/study/postgraduate/ for a PhD in Psychology by the deadline of 15 February, 2017. In the application, please state clearly that you are applying for the Leverhulme Trust Doctoral Scholarship Programme. You must ensure that references have been provided by the deadline (otherwise the application may not be considered). After the deadline, applications will be reviewed. Shortlisted candidates will be invited for interview before award decisions are made.

For more details see http://wp.lancs.ac.uk/leverhulme-dsp/apply/.

For further information concerning the studentships, please contact Prof. Gert Westermann (--LOGIN--b7131e021b29685a1e9842a8e6a5725dlancaster[dot]ac[dot]uk ), and about postgraduate study more generally, please contact the Department of Psychology postgraduate office (--LOGIN--268c76f36052e8a76b1250b181fdb2e5lancaster[dot]ac[dot]uk ). See the Lancaster Leverhulme Scholarship Programme website http://www.lancs.ac.uk/leverhulme-dsp/ for more information. Further information about PhD study at Lancaster can be found here: www.psych.lancs.ac.uk/postgraduate/phd/.

• Dos puestos de postdoc en sistemas/compiladores/arquitecturas para la comprensión de escenas 3D usando paralelismo heterogéneo en el Imperial College London (UK). Received: 18/11/2016, deadline: 14/12/2016.

El Imperial College London ofrece dos puestos de postdoc descritos en
http://www.jobs.ac.uk/job/AVC970/research-associates-in-real-time-computer-vision-and-slam-two-posts/

A pesar de que la descripción se centra mucho en aspectos de visión, el grupo de investigación oferente (Software Performance Optimisation group, http://wwwhomes.doc.ic.ac.uk/~phjk/SPO-Webpages/index.html, liderado por el profesor Paul Kelly) tiene una agenda de investigación más amplia, siendo ésta una oportunidad para seguir una línea dirigida por una colaboración estrecha con otro grupo de investigación puntero en visión robótica (https://wp.doc.ic.ac.uk/robotvision/). El proyecto, llamado PAMELA (http://apt.cs.manchester.ac.uk/projects/PAMELA/) tiene unos intereses amplios en tecnologías multicore/manycore en colaboración con otros grupos de investigación en Reino Unido liderados por conocidos investigadores como Steve Ferber, Mikel Lujan y Michael O’Boyle.

El límite para las solicitudes es el 14 de Diciembre. Se puede pedir información adicional por correo electrónico directamente al profesor Kaul Kelly en --LOGIN--3e6accdc4887450c2db899e3ea5f00a4imperial[dot]ac[dot]uk

• Postdoctoral positions in computational and systems biology at Nanyang Technological University (Singapore). Received: 16/11/2016.

Two postdoctoral positions are available in a project investigating missing and spurious links and labels of molecular networks. The project will begin in January 2017 and is led by Professor Jagath Rajapakse in the School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore (www.ntu.edu.sg).

Protein interaction networks (PIN) are widely used in inferring disease mechanisms and in drug discovery. Missing and spurious links and labels of PIN is a challenge and undermine the applications of PIN. The aim of this project is to develop computational techniques and tools for the prediction of missing and spurious links and labels by mapping the hierarchical modularity of protein interaction networks and gene ontology. Methods will be applied for inferring disease mechanisms in leprosy, psoriasis, and cancer.

Postdoc 1 will research on various models of protein interaction networks and their applications to prioritizing nodes and links, predicting missing and spurious links, and extracting network modules, protein complexes, and biological pathways. A potential candidate will have background and experience machine learning and network analysis.

Postdoc 2: will investigate the hierarchical organization of protein interaction networks and gene ontology, and mapping the two hierarchies to find missing labels in protein interaction networks. The candidate will also research on mapping disease networks to protein interaction networks in order to predict disease related pathways and protein complexes. A potential candidate will have experience in machine learning, ontologies, or text mining.

For postdoctoral positions, PhD in a related field is required. Knowledge of python or R would be an advantage. For more details and applications, please send your curriculum vitae to Professor Jagath Rajapakse (--LOGIN--b145aa1338704053b4ea38ac8eba5542ntu[dot]edu[dot]sg ).

• Lecturer/Associate Professor in Computer Science (Robotics, Neural Systems, Machine Learning) at Plymouth University (UK). Received: 15/11/2016, closing date: 11/12/2016.

Plymouth University has an opening in Computer Science, with specific interest in cognitive robotics, computational neuroscience and machine learning.

Lecturer/Associate Professor (Senior Lecturer) in Computer Science
University of Plymouth - School of Computing, Electronics and Mathematics

Location: Plymouth
Salary: £32,958 to £55,998 PA
Hours: Full Time
Contract Type: Permanent
Closes: 11th December 2016
Job Ref: A5114

The School of Computing, Electronics and Mathematics within the Faculty of Science and Engineering at Plymouth University is seeking applicants for the above post to replace a retirement. A successful applicant is expected to be able to contribute to teaching across the computer science curriculum with initial teaching duties in OO software development, design patterns and Java. Applicants should also be aligned with one or more of the school's research groups; the Centre for Robotics and Neural Systems (CRNS), the Centre for Security, Communications and Network Research (CSCAN) or the newly established Big Data and Machine Learning research group.

This post targets candidates with an interest in building an international research track record in terms of publishing in international fora, securing external research funding and contributing to the supervision of PhD students as well as Masters and undergraduate students. Applicants are expected to teach basic and advanced computer science modules and to make an active and tangible contribution to programme development and student recruitment across the suite of computing undergraduate and postgraduate courses.

Applicants should hold a PhD in a relevant discipline and demonstrate an established REF-level research track-record appropriate to the role. Applicants should ideally have experience in teaching undergraduate and/or postgraduate students and in supervising undergraduate/masters/doctoral students. Candidates applying for the Associate Professor (Senior Lecturer) level are expected either to have experience in leadership of computer science programmes and/or in the leading of a research group with track record of external funding.

Feel free to contact Professor Angelo Cangelosi for informal discussion on this job opening: --LOGIN--83096ace916f14c6d0304f69c455f1a7plymouth[dot]acuk

Further information about the school is available at
www.plymouth.ac.uk/compmath

This is a full-time post working 37 hours per week on a permanent basis.

University of Plymouth is committed to an inclusive culture and respecting diversity, and welcomes applications from all sections of the community and is a Stonewall diversity champion.

The University holds a Bronze Athena SWAN Award which recognises commitment to advancing women’s career in STEMM academia.

University of Plymouth has been recognised by Bloomberg as one of the 50 best UK employers for 2016.

See here for more details:

http://www.jobs.ac.uk/job/AVL853/lecturer-associate-professor-senior-lecturer-in-computer-science/

• Faculty-funded PhD studentship on evolving spiking networks at Plymouth University (UK). Received: 14/11/2016.

A 3-year PhD studentship is available within the School of Computing, Electronics and Mathematics at Plymouth University. The project will involve building on our existing research to develop a new model of axon and dendrite growth that can be used to produce functional spiking neural networks. Techniques from evolutionary computing will be applied to optimize the parameters of the growth model in order to produce spiking networks that achieve particular functional goals relating to vision and robotic control. We anticipate that the project will make extensive use of GPU computing in order to maximize the speed of model optimization and simulation.

The studentship is supported for 3 years and includes full Home/EU tuition fees plus a stipend of £14,296 per annum. The studentship will only fully fund those applicants who are eligible for Home/EU fees with relevant qualifications. Applicants normally required to cover overseas fees will have to cover the difference between the Home/EU and the overseas tuition fee rates (approximately £11,040 per annum). Applicants must have a first degree in computer science, robotics, cognitive science or related discipline. A Masters level degree in the same disciplines is a desirable criterion. Good programming skills are also an essential requirement - ideally with some experience of GPU programming.

For full details of the studentship and how to apply, please see:
http://www.jobs.ac.uk/job/AVH452/phd-studentship/

Plymouth University is committed to an inclusive culture and respecting diversity, and welcomes applications from all sections of the community and is a Stonewall diversity champion. The University holds a Bronze Athena SWAN Award which recognises commitment to advancing women's careers in STEMM academia.

• Open PhD position in perceptual learning at ENI/DPZ Goettingen (Germany). Received: 11/11/2016, deadline: 01/12/2016.

The Neural Circuits and Cognition lab of Caspar Schwiedrzik at the European Neuroscience Institute (ENI) and the German Primate Center (DPZ) in Goettingen, Germany is looking for an outstanding PhD student interested in studying the neural basis of perceptual learning in vision. The project investigates circuit and single cell mechanisms of learning and perception, utilizing functional magnetic resonance imaging in combination with electrophysiology and behavioral testing in humans and non-human primates.

Work in the lab focuses on the cortical basis and computational principles of perception and experience-dependent plasticity in the macaque and human brain (see here). To this end, we use a variety of invasive and noninvasive methods, including fMRI-guided electrophysiological recordings in monkeys and fMRI and ECoG in humans. The PhD student will play a key role in our research efforts in this area.

The lab is located at the ENI and the DPZ, which are interdisciplinary research centers with international faculty and students pursuing cutting-edge research in neuroscience. The PhD student will have access to a new imaging center with a dedicated 3T research scanner, electrophysiology, and psychophysics setups. The ENI is part of the University Medical Center Goettingen, offering ample opportunity to translate basic research into the clinic. The University Medical Center Goettingen is a tertiary care center. Its 7,400 employees work in over 65 departments and facilities to provide top-quality patient care, excellent research and modern teaching facilities.

Your profile

The position will be available starting in spring 2017 with an initial appointment for 3 years and a salary according to 50% TVL-13. Candidates should have a degree (master, diploma or equivalent) in a relevant field (e.g., neuroscience, psychology, biology), and ideally prior experience in electrophysiology and/or fMRI, strong quantitative, programming, and experimental skills, and a desire to understand the neural basis of visual perception and its plasticity. Interested candidates should send their curriculum vitae, a description of their scientific interest and the names and contact information of up to three references who are able to comment on your academic background and who agreed to be contacted to --LOGIN--afa41b2cfc22a7fb1981b0f6a0979b84googlemail[dot]com , preferably before December 1st, 2016, but later expressions of interest will be considered until the position is filled. It will also be possible to meet in person at this year’s SfN in San Diego. A good command of English is a requirement, but fluency in German is not essential.

Women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment.

• Postdoctoral Scholar position in Sensorimotor Integration and Sensorimotor Learning for Speech Production at the University of California, Irvine (USA). Received: 11/11/2016, deadline: 30/11/2016.

A Postdoctoral Scholar position in the areas of sensorimotor integration and sensorimotor learning for speech production is available in the Auditory & Language Neuroscience Lab (PI Greg Hickok; http://sites.uci.edu/alns/) and the Neuromorphic Machine Intelligence Lab (PI Emre Neftci; http://nmi-lab.org/) in the Department of Cognitive Sciences at the University of California, Irvine.

Description of Duties: The research involves developing neurally feasible computational models of speech production that is integrated with and informed by ongoing work on speech production using a wide range of methods including functional imaging, lesion, and intracranial electrocorticography (ECoG) and stimulation mapping.

Salary and benefits: This position is full-time and includes benefits. Salary is commensurate with experience.

Qualifications: The successful candidate must possess a Ph.D. (by the start of the appointment) in Cognitive Sciences, Physics, Neuroscience, Computer Science, or Engineering, and must have expertise in computational neuroscience and/or machine learning. The position is anticipated to begin in late 2016 or early 2017 for one year with an additional one-year reappointment possible contingent upon satisfactory performance and productivity.

We seek a candidate with excellent verbal and written communication skills who is strongly motivated and has substantial computer programming experience – the labs rely heavily on MATLAB, R, Psyscope/Psychtoolbox and Python. Working knowledge of artificial and spiking neural networks is a plus.

Application Procedure: Interested candidates should submit a cover letter (describing their research experiences, interests, and goals,), a CV, and the names and contact information of three references at: https://recruit.ap.uci.edu/apply/JPF03744

For more information about this position, please contact Dr. Greg Hickok (--LOGIN--dca6bc62b97322ed1d2cdcf959f44422uci[dot]edu ) or Dr. Emre Neftci (--LOGIN--dca675a6a9d51187fa7a8c27e0f46cc7uci[dot]edu ).

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, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.

• PhD position in Neuroscience at EPFL (Switzerland). Received: 10/11/2016, deadline: 15/11/2016.

PhD position in the Blue Brain Project - Department of In Silico Neuroscience

Project title: Digital Reconstruction of Cholinergic Neuromodulation of Neocortical Microcircuitry

Supervisors: Dr. Srikanth Ramaswamy, Prof. Henry Markram

Keywords: Neocortex, microcircuits, simulation, neuromodulation, acetylcholine, dendrites, synaptic transmission, network activity

Project description: Neuromodulators are chemical messengers - hormones, neuropeptides, and neurotransmitters - that diffusely target neurons and synapses in specific brain regions. Distinct groups of neurons located in subcortical areas release neuromodulators such as acetylcholine (ACh), noradrenaline, serotonin, dopamine, and histamine. These neuromodulators directly control information processing in neocortical microcircuits by modulating shifts between activity states such as sleep and wakefulness, or distraction and attention. Neuromodulators are also directly implicated in a spectrum of debilitating disorders such as migraine, schizophrenia, Alzheimer’s and Parkinson’s disease. Yet, despite their crucial role in physiology and pathology, we lack a detailed understanding of the way they regulate the function of dendrites, synapses, neurons, and network activity in neocortical microcircuitry.

The objective of the proposed PhD project will be to devise, implement and study biophysical models of ACh neuromodulation of neocortical microcircuitry. The project will leverage the Blue Brain Project’s data-driven digital reconstruction of neocortical microcircuitry1, 2, and augment it with biophysical models of the anatomy and physiology of ACh neuromodulation of somatosensory cortex. Specifically, the project will implement and constrain cellular and synaptic models of ACh neuromodulation and study its regulation of cortical activity states. The project requires active collaboration with the Laboratory of Neural Microcircuitry (LNMC), EPFL to design neurophysiological experiments in thenrodent somatosensory syetem and integrate relevant data into the digital reconstruction. Significant computing resources on a large high performance computing system will be made available for this project.

1. Markram, H.*, Muller, E.*, Ramaswamy, S.*, Reimann, M.* et al. (2015). Reconstruction and Simulation of Neocortical Microcircuitry. Cell 163:2, 456-495. * Co-first author.

2. Ramaswamy S.*, Courcol J-D.*, Abdellah M., Adaszewski S.R., Antille N. et al. (2015). The Neocortical Microcircuit Collaboration Portal: A Resource for Rat Somatosensory Cortex. Front. Neural Circuits 9:44. *Co-first author.

Key collaborators: Dr. Rodrigo Perin (EPFL-LNMC), Ms. Ayah Khubieh (EPFL-LNMC), Dr. Eilif Muller (EPFL-BBP), Dr. Fabien Delalondre (EPFL-BBP), Prof. Felix Schürmann (EPFL-BBP), and Prof. Idan Segev (Hebrew University, Jerusalem).

This project is offered in the context of the EPFL Doctoral School in Neuroscience (EDNE).
Please visit http://phd.epfl.ch/neuroscience-openings for further details, and information on how to apply.
Application Deadline: Nov 15th, 2016.

For further details on the project contact:
Dr. Srikanth Ramaswamy --LOGIN--8322f3f8e9434a753458d7470096f107epfl[dot]ch

• PhD student in CS for Hermeneutics at the University of Luxembourg (Luxembourg). Received: 10/11/2016.

The University of Luxembourg and in particular the group pcog.uni.lu lead by Professor Pascal Bouvry looks for an excellent candidate for a PhD in computer science for hermeneutics.
Nowadays, the total amount of data available increase in an exponential manner. The number of document formats used to perform research also exploded to include classical one such as books, photos, videos, sounds, or non conventional formats such as participative writing platforms, text blogs, websites or ephemeral data. The purpose of Digital History is to handle these various sources of information to perform research and analysis.

The work is related to big data analytics, graph traversals and clustering problems. The candidate is expected to have a strong background in combinatorial optimisation, graph theory and good programming skills (Python, Java or C++).

Funding is available for 3 years.

The student will work within an interdisciplinary environment (Computer Scientists, Historians, etc) in a group (13 positions are available in the different useful fields).

If you are interested, please send a motivation letter and a CV to Professor --LOGIN--fb19df2cd5e5733511990df845ec475buni[dot]lu by e-mail with as subject “DHH PhD”.

The project should start mid of January 2017.

• Tenure-track positions in Computer Science at the Rochester Institute of Technology (USA). Received: 09/11/2016, deadline: 15/01/2017.

Computer Science Faculty Openings https://www.cs.rit.edu/CS-faculty-openings

The Department of Computer Science at the Rochester Institute of Technology invites applications for the following faculty positions.

Tenure-track assistant professor in the area of cybersecurity (#2768BR)
Tenure-track assistant professor in the area of machine learning (#2753BR)
Tenure-track assistant professor in the area of systems with a focus on pervasive computing (#2754BR)
Lecturer to teach in the areas of introductory and core computer science (#2756BR)

Candidates should visit http://careers.rit.edu/faculty and refer to the BR numbers listed above for specific information about the positions and the application process. Refer to www.rit.edu for information about RIT and the B. Thomas Golisano College of Computing and Information Sciences.

Candidates are encouraged to apply by January 15, 2017.

Computer Science is the largest department at RIT. Our student-centered programs are home to over 1,200 students pursuing BS, MS, BS/MS, and PhD degrees. A year of paid internship experience is required for BS students and optional for MS students. Student employment rates upon graduation are very high, often with leading technology companies. Our innovative problem-based introductory programming sequence has been continuously revised and updated, in part through research projects funded by the National Science Foundation (NSF).

In recent years we have increased our research presence while maintaining our commitment to excellence in student instruction. Our faculty publish in top-tier venues, and contribute to the organization, reviewing and editing of leading conferences and journals. Students at all levels participate in our research programs,including through NSF-sponsored undergraduate internships and summer research programs. Our PhD students have made meaningful contributions to their respective areas, and gone on to secure good positions in industry and academia. Currently research is carried out in the areas of Artificial Intelligence, Computer Graphics, Computing Education, Data Management, Distributed Systems, Programming Languages, Security, and Theory.

RIT does not discriminate. RIT is an equal opportunity employer that promotes and values diversity, pluralism, and inclusion.

• Fully funded postdoc position at the University of Geneva (Switzerland). Received: 02/11/2016.

The University of Geneva seeks one postdoc in computational neuroscience to investigate the relation between information transfer at synapses and in neural networks, and concomitant energy consumption. The starting date is May 2017.

This position is fully funded by the Swiss National Science Foundation for 24 months. Initial appointment is for one year. Research will be conducted in the medical physics group of the physics section at the University of Geneva, under the supervision of Prof. Renaud Jolivet.

* Summary

Information transmission in the brain is energetically expensive, yet has to satisfy demands of speed and signal-to-noise reliability. We have recently shown that the strong retinogeniculate synapse relaying information from the retina to the thalamus resolves these competing constraints by maximizing energetic efficiency when transferring information. In their physiological state, these synapses are not set to transmit the maximum amount of information possible: information transmission increases when larger excitatory postsynaptic currents (EPSCs) are injected into the postsynaptic thalamic neuron. However, EPSCs that are larger or smaller than physiological EPSCs decrease the information transmitted per energy used. The physiological EPSC size therefore maximizes energy efficiency rather than pure information transfer across the synapse. In other words, the retinogeniculate synapse trades information for energy savings
(http://dx.doi.org/10.1016/j.cub.2015.10.063;
http://dx.doi.org/10.1016/j.neuron.2012.08.019).

These findings suggest maximization of information transmission per energy used as a design principle in the brain. However, it is unclear how broadly this principle applies. Whether energy efficiency at excitatory synapses is a special property of strong relay synapses, or a more general principle also governing synaptic inputs that contribute more weakly to determining the output of the postsynaptic cell is an open question. These findings also raise the question of what mechanisms are in effect in order to achieve energetic efficiency of information transfer at synapses. This project will address these questions using information theory and simulations of biologically validated neuron models.

Applicants must imperatively be self-sufficient programmers (MATLAB preferred) and have a strong background in computational neuroscience. They should be familiar with several of the following topics: information theory, Hodgkin-Huxley models, the NEURON simulation environment, signal processing, models of synaptic plasticity, models of neural networks.

Please contact --LOGIN--9dc110d92c132f97bae92de31827c11bunige[dot]ch for additional information.

* About the University of Geneva (UNIGE)

UNIGE is a generalist French-speaking university located in Geneva, Switzerland. The QS World University Rankings 2016 and Times Higher Education World University Rankings 2016/17 respectively rank UNIGE as 95th and 131st worldwide. It ranks 41st worldwide for science (Shanghai Academic Ranking of World Universities in Natural Sciences and Mathematics 2016). It is Switzerland’s second largest university with more than 17000 students of 150 different nationalities and about 4000 researchers of 113 nationalities, who study and work in 9 different faculties. UNIGE trains a large number of PhD students and postdocs in neuroscience. The various research and teaching activities are listed at http://neurocenter.unige.ch/ and at https://www.unil.ch/ln/en/home.html. UNIGE is also developing with other institutions a new campus in Geneva (http://www.campusbiotech.ch/en/), focusing heavily on neuroscience and translational research.

Geneva is at the heart of a conurbation with more than 1.25 million inhabitants. It is a global city, a financial center, and worldwide center for diplomacy and research. It has one of the highest quality of life in the world. It offers varied cultural activities and outdoor opportunities being located at one extremity of Lake Geneva, one of the largest lakes in Europe, on the western doorstep of the Alps. The University of Geneva offers competitive salaries and conditions at all levels in a young, dynamic, and multicultural environment. It is an equal opportunity employer and women are encouraged to apply. The official language of the laboratory is English.

* How to apply

Please send an e-mail to --LOGIN--9dc110d92c132f97bae92de31827c11bunige[dot]ch with your resume, list of publications, a one-page statement describing your research interests and career plan, and the names of at least three references.

• Postdoc position in Neuroscience at KULeuven (Belgium). Received: 01/11/2016.

The Laboratorium voor Neuro- en Psychofysiologie, Dpt Neurosciences at KULeuven (Leuven, Belgium) has a postdoc position available to study visual learning in nonhuman primates. The project will combine monkey fMRI and in vivo electrophysiology in the same animals. Experience with single unit recordings and/or fMRI is a bonus. Knowledge of MATLAB and standard neural data analyses is a must. For further information contact --LOGIN--a514259c4c71e592351c4e5a9a7e11f7kuleuven[dot]be .

• PhD position in cognitive modeling at University of California, San Diego (USA). Received: 31/10/2016.

Applications are invited from highly motivated students to conduct PhD research in the Computational & Cognitive Neuroscience Lab, led by Angela Yu, at University of California, San Diego.

Candidates must have a strong background in mathematics and/or machine learning, and be committed to applying rigorous mathematical tools to modeling cognitive and neural processes. Experience or interest in carrying out human behavioral experiments (either in person or on Amazon M-Turk) and/or collaborating with other human/animal neuroscience laboratories is also desirable.

Current research in the lab ranges across cognitive control, decision-making, visual search, active learning, social cognition, and machine learning.

Dr. Yu's group (http://www.cogsci.ucsd.edu/~ajyu/) is situated within the Cognitive Science department of UCSD, but Dr. Yu advises students not only from the Cognitive Science, but also from Computer Science & Engineering, Electrical & Computer Engineering, and Neurosciences PhD programs. Interested students should apply directly to one or more of the PhD programs, and indicate Dr. Yu as a potential research advisor in the research statement. They are also encouraged to email Dr. Yu directly (--LOGIN--ac22e56290172a45c9bc54602ef66b8eucsd[dot]edu ) to explain why they think their interests/background are a good fit for working with Dr. Yu.

• Faculty Positions in Bioinformatics & Computational Biology at the University of California, Irvine (USA). Received: 29/10/2016, deadline: 09/12/2016.

MidCareer Faculty Positions at UC Irvine

Application deadline: Dec 9th 2016 (Applications received by November 9, 2016 will receive fullest consideration.)

Apply online at: https://recruit.ap.uci.edu/apply/JPF03719.

The University of California, Irvine (UCI) is engaged in a multi-year campus-wide strategic expansion and seeks to hire mid-career faculty (advanced assistant, tenured associate, to early full professors) with distinguished publication records and upward trajectories in their research profiles.

Qualified applicants with interests in bioinformatics, biomedical informatics, computational biology and related topics in the intersection of computation and biology are encouraged to apply for these positions. UCI has a very active group of faculty in these areas including Pierre Baldi, Charless Fowlkes, Rick Lathrop, Eric Mjolsness, Babak Shababa, and Xiaohui Xie - mainly in the Computer Science department, with strong interdisciplinary connections to departments such as Statistics, Biomedical Engineering, the School of Biological Sciences, and the School of Medicine.

Recently celebrating its 50th anniversary, UCI is part of the premier public university system in the world. It was recently named by U.S. News & World Report as a top ten public university and by the New York Times as No. 1 among U.S. universities that do the most for low-income students. UCI is Orange County’s second-largest employer, contributing $4.8 billion annually to the local economy. Irvine one of the world’s safest and most economically vibrant communities. It is highly ranked as a place to live, has extensive bike lanes and open spaces, and is just a few miles away from Pacific Ocean beaches.

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, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.

• Faculty Positions in artificial intelligence, computer vision, machine learning and natural language processing at the University of California, Irvine (USA). Received: 29/10/2016, deadline: 09/12/2016.

MidCareer Faculty Positions at UC Irvine

Application deadline: Dec 9th 2016 (Applications received by November 9, 2016 will receive fullest consideration.)

Apply online at: https://recruit.ap.uci.edu/apply/JPF03719

The University of California, Irvine (UCI) is engaged in a multi-year campuswide strategic expansion and seeks to hire midcareer faculty (advanced assistant, tenured associate, to early full professors) in the area of information and computer sciences who have distinguished publication records and upward trajectories in their research profiles.

Qualified applicants with interests in artificial intelligence, computer vision, machine learning, natural language processing, bioinformatics and related topics are encouraged to apply for these positions. UCI has a very active group of faculty in these areas including Anima Anandkumar, Pierre Baldi, Rina Dechter, Charless Fowlkes, Alex Ihler, Rick Lathrop, Eric Mjolsness, Sameer Singh, Padhraic Smyth, Erik Sudderth, and Xiaohui Xie - primarily in the computer science department, with strong interdisciplinary connections to departments such as cognitive science, informatics, and statistics.

Recently celebrating its 50th anniversary, UCI is part of the premier public university system in the world. It was recently named by U.S. News & World Report as a top ten public university and by the New York Times as No. 1 among U.S. universities that do the most for low-income students. UCI is located in one of the world’s safest and most economically vibrant communities and is Orange County’s second-largest employer, contributing $4.8 billion annually to the local economy.

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, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.

• Postdoc position in computational modeling at University of California, San Diego (USA). Received: 28/10/2016.

Applications are invited from highly motivated researchers for a postdoctoral position immediately available in the Computational & Cognitive Neuroscience Lab, led by Angela Yu, at University of California, San Diego.

Candidates must have a strong background in mathematics and/or machine learning, and be committed to applying rigorous mathematical tools to modeling cognitive and neural processes. Experience or interest in carrying out human behavioral experiments (either in person or on Amazon M-Turk) and/or collaborating with other human/animal neuroscience laboratories is also desirable.

Current research in the lab ranges across cognitive control, decision-making, visual search, active learning, social cognition, and machine learning. Accepted candidate would have great latitude in determining own research projects.

Dr. Yu's lab is situated within the Cognitive Science department of UCSD, and affiliated with the Computer Science Department, Electrical Engineering Department, Neurosciences Graduate Program, and the Institute of Neural Computation. There are ample opportunities for collaborations with related groups across the UCSD main campus, the medical school, and the Salk Institute.

Interested candidates should send a research statement, along with a CV including publications, to Dr. Angela Yu (--LOGIN--ac22e56290172a45c9bc54602ef66b8eucsd[dot]edu ). Candidates are invited to explain in detail how their own research interests dovetail that of Dr. Yu's lab. Two or more letters of references should be sent directly to Dr. Yu.

Dr. Yu will be interviewing candidates at the Society for Neuroscience Annual Meeting in San Diego, November 12-16, 2016.

• Postdoctoral Research Assistant at the University of Stirling (UK). Received: 28/10/2016, closing date: 13/11/2016.

Job number: SCH00690
School/Service: Faculty of Natural Sciences
Location: Stirling Campus
Contract Type: Fixed Term Contract
Working Pattern: Full Time
Salary: Grade 7 £32,004 - £38,183 p.a.
Closing date: 13-Nov-2016

Post Details
Fixed term contract from November 2016 – November 2018
The closing date for applications is midnight on Sunday 13 November 2016.

The Post

The CHORDS (Computational Heuristics, Operational Research and Decision Support) research group within the Division of Computing Science and Mathematics, University of Stirling, wishes to appoint a Postdoctoral Research Assistant to work on the Dynamic Adaptive Automated Software Engineering (DAASE) project, supervised by Dr John Woodward. http://daase.cs.ucl.ac.uk/about/

DAASE is a four site project funded by the Engineering and Physical Sciences Research Council (EPSRC) involving University College London, Birmingham, Stirling and York. This 6 years programme started June 2012, with a total of £6.8m of EPSRC funding. The aim of the project is to automate large parts of the software development process using computational search, and to embed adaptivity to software processes and products. The project provides wide opportunities to collaborate with researchers on all the sites, and with industrial research laboratories.

The University

Stirling was the first new university to be established in Scotland for nearly 400 years, created by Royal Charter in 1967. Since its foundation, the University has embraced its role as an innovative, intellectual and cultural institution with an established reputation for blending arts and science.

Stirling is a University of distinction, home to leading researchers and scholars attracted by the unique learning environment, exceptional facilities and student-centred approach, where ability, not background, is recognised and valued.

The essence of the University of Stirling is its people: graduates, staff and students are helping to shape the world by making a direct and positive contribution to the development of prosperous, healthy and sustainable communities around the globe.

The University population has grown from 164 undergraduate students and 31 postgraduates in 1967 to 8,000 undergraduates and 3,105 postgraduates in 2015. With over 125 nationalities represented at Stirling, around one in five students come from overseas.

A truly Scottish university, Stirling’s reach extends to campuses in the Highland capital of Inverness and to Stornoway, gateway to the Western Isles.

Stirling’s main campus is located at the historic heart of Scotland, with convenient links to the rest of the UK and beyond. The University is within easy reach of Scotland’s capital city, Edinburgh, and its largest city, Glasgow. Scotland’s two main international airports are less than an hour away, with direct flights to Europe and beyond.

Equality and diversity are central to our activities at the University of Stirling. We believe everyone should be treated with respect and we deal with people as equals. We promote equality and celebrate diversity through a variety of initiatives. We have been awarded the Athena SWAN Bronze award, the national charter for women in science, which recognises and promotes good practice in advancing women's careers in STEMM academia (Science, Technology, Engineering, Mathematics and Medicine). Further details can be found here:

http://www.stir.ac.uk/equalityanddiversity/athenaswan/

About Us

The School of Natural Sciences www.stir.ac.uk/natural-sciences was formed in January 2011, bringing together Computing Science and Mathematics, Biological and Environmental Sciences, Psychology and the Institute of Aquaculture.

The School offers a unique academic environment where new ideas are explored in the complex and challenging relationships between human behaviours and social, biological and environmental systems. The approach is explicitly inter-disciplinary, rigorous and problem-focused. The School is internationally recognised for the quality and relevance of its research

The School works with business and public service organisations, both at home and overseas, to develop research with direct and positive outcomes for society across a range of critical problems. Teaching programmes focus on real-life issues and offer strong theoretical frameworks with rigorous training in field, laboratory and numerical skills.

The School has active research and teaching partnerships at Stirling with the Schools of Health, Management, Applied Social Sciences , Arts and Humanities, and Sports. The School participates in four major Scottish Funding Council research pooling initiatives. The School also has formal international research and teaching collaborations with the EU, USA, Canada, sub-Saharan Africa, the Middle East, Latin America, South Asia and China.

Description of Duties

The main activities of the postholder will include:
- Innovative research investigation under the DAASE project - Contribution to design and implementation of a range of experiments related to the research work
- Organisation of dissemination activities
- Collaborative activities with DAASE partners and organisation of associated events
- Preparation of research journal papers
- Preparation and presentation of conference papers
- To help supervise PhD project students if requested and deemed relevant
- Other duties associated with the DAASE project

Essential Criteria
- PhD in Computer Science, Operational Research or a related discipline.
- Strong background in computational search and modelling complex systems.
- A proven track record in conducting and publishing high quality research.
- Excellent skills in computer programming.
- The ability and desire to collaborate effectively with other researchers at various stages of career.

Desirable Criteria
Research experience on one or more of the following topics:
- search based software engineering
- information and/or coding theory
- fitness landscape analysis and visualisation
- hyper-heuristics, performance prediction in optimisation

Additional Information

For informal enquires, or to discuss how you might fit into our project, please contact, Dr John R. Woodward --LOGIN--e9936a18691eb9e643c7537986883f26cs[dot]stir[dot]ac[dot]uk

The University offers great benefits such as generous annual leave and membership of the Universities Superannuation Scheme with employer contributions of 18%. Additionally staff can benefit from a reduced membership rate at the University's excellent Sport Centre facilities and the option of childcare vouchers through a salary sacrifice scheme.

An applicant guide can be found at the following address, we recommend you read this before making your application http://tinyurl.com/UoSAppguide

Please ensure that you check your email account junk folder as your email provider may flag emails sent to you as suspected spam.

Terms and conditions of this post can be found at http://www.stir.ac.uk/hr-od/workingatstirling/yourcontract

After the closing date, this job advert will no longer be available on the University of Stirling website therefore please keep a copy for your records.

http://www.stir.ac.uk/about/jobs/details/index.html?id=QUUFK026203F3VBQB7V79V7NE&nPostingID=1279&nPostingTargetID=1211&mask=extstirling&lg=UK

• Postdoc in computational neuroscience at Harvard University (USA). Received: 27/10/2016.

Jan Drugowitsch (Department of Neurobiology, Harvard) and Sam Gershman (Department of Psychology, Harvard) are seeking a postdoctoral fellow to work on a project combining computational modeling, psychophysics, and clinical studies. The project focuses on the neural basis of visual structure discovery, using motion perception as a model system. Our goal is to understand how neural circuits represent and reason about complex combinatorial structures, and how these neural circuits break down in autism.

The Drugowitsch and Gershman labs are located in the Longwood medical area and Harvard’s Cambridge campus, respectively. Harvard, and the Boston area in general, has an excellent neuroscience community and programs in engineering, statistics, and related fields.

Candidates must have a Ph.D. in a quantitative discipline and strong background in Bayesian modeling and computational neuroscience. Experience with visual psychophysics experiments is desirable but not essential. Applicants should send a CV and statement of research interests to Jan Drugowitsch (--LOGIN--0f4af41510ab76fcaa9bd3dcea9ef0d6hms[dot]harvard[dot]edu ).

The initial appointment is for one year with the expectation of extension given satisfactory performance. Applications will be reviewed until the position is filled.

• Postdocs in Riemannian Manifold Optimization at the Romanian Institute of Science and Technology (Romania). Received: 27/10/2016.

The Romanian Institute of Science and Technology (RIST) has an opening for 3 postdoc positions, in the context of the DeepRiemann project “Riemannian Optimization Methods for Deep Learning”, funded by European structural funds through the Competitiveness Operational Program (POC 2014-2020). The appointments will be for 2 years, with possible extensions up to 4 years.

The DeepRiemann project aims at the design and analysis of novel training algorithms for Neural Networks in Deep Learning, by applying notions of Riemannian optimization and differential geometry. The task of the training a Neural Network is studied by employing tools from Optimization over Manifolds and Information Geometry, by casting the learning process to an optimization problem defined over a statistical manifold, i.e., a set of probability distributions. The project is highly interdisciplinary, with competences spanning from Machine Learning to Optimization, Deep Learning, Statistics, and Differential Geometry. The objectives of the project are multiple and include both theoretical and applied research, together with industrial activities oriented to transfer knowledge, from the institute to a startup or spin-off of the research group.

The positions will be part of the new Machine Learning and Optimization group, which will be performing research at the intersection of Machine Learning, Stochastic Optimization, Deep Learning, and Optimization over Manifolds, from the unifying perspective of Information Geometry. The group is one of two newly-formed groups in Machine Learning at RIST, where about 20 new postdoctoral research associates and research software developers will be hired in the next year.

The official job announcement can be seen here:

http://rist.ro/en/details/news/postdoc-positions-in-machine-learning-optimization-deep-learning-and-information-geometry.html

# Jobs Description #

The three open positions will focus on different and overlapping aspects of the project:

1) Optimization Algorithms over Statistical Manifolds with Applications to Deep Learning

The postdoctoral researcher will conduct research on the design and implementation of novel first- and second-order methods for the optimization of functions defined over statistical models, such as exponential families, the Gaussian distribution, and Markov Random Fields. In particular the research will focus on the optimization problem associated to the training of a Neural Network, which will be studied from the perspective of Optimization over Manifolds with non-Euclidean geometries. The postdoctoral candidate will develop optimization algorithms which explicitly take into account the Riemannian and dual-affine Hessian geometries of the search space, given by the Fisher information metric. Such algorithms should be efficient, scalable, largely parallelizable, and suitable for the large scale and big data settings.

Keywords: stochastic gradient descent, Riemannian manifolds, dually-flat Hessian geometries, optimization over manifolds, second-order optimization methods, large scale optimization.

2) Theory of Neural Networks

The postdoctoral researcher will contribute towards the definition of a probabilistic and geometric framework for the study of deep Neural Networks aimed at a better understanding of the working mechanisms behind the success of Deep Learning. The analysis is focused towards a better understanding of what enables Deep Learning systems to achieve remarkable successes, and of its limits, in classification and predictive analysis, with a particular focus on the learning task, in order to guide the development of novel algorithms. The research will include the study of the representational power of various Neural Networks topologies, by taking into consideration the impact of hierarchical architectures with respect to the expressiveness of the network; and the analysis of the number of local minima and of saddle points, which appear during the training and which strongly affect convergence of the optimization algorithms, depending on the nature of the network.

Keywords: theory of neural networks, deep learning, learning representations, expressive power of neural networks.

3) Information Geometry of dually-flat Hessian Manifolds

The postdoctoral researcher will focus on the characterization of first and second-order Riemannian and affine geometries of statistical models, or more in general Hessian manifolds, aimed at the study of optimization methods over statistical manifolds. Neural Networks can be modeled as statistical manifolds, or manifolds of Neural Networks, and the training of the network can be studied as an optimization problem over a non-linear manifold, where the weights of the network are the parameters of the model and thus the variables of the function to be optimized. The purpose of the analysis is to introduce alternative second-order approximations of a function over a statistical manifold, depending on the choice of the connection and thus how parallel transport is implemented, which are at the basis of the design of second-order optimization methods.

Keywords: information geometry, geometry of statistical models, natural gradient, dually-flat manifolds, Hessian geometries.

# Desired Qualifications #

- PhD in machine learning, theoretical computer science, stochastic optimization, statistics, applied mathematics, including fields such as manifold optimization, differential geometry, statistical mechanics, and related fields

- Strong publication record

- Strong analytical skills, such as problem solving and logical thinking

- Enthusiasm to work in a multidisciplinary and international research environment

- Good written and oral communication skills in English

Knowledge in machine learning is helpful, but not strictly mandatory. Doctoral students close to the competition of their thesis will also be considered.

The positions are to start as early as December 2016 or at any agreed later date. Applications will be reviewed as they are received.

RIST offers competitive salaries and top-level working conditions. The net salary for these positions will be around 2.000 euro per month, with a possible increase up to 2.200 euro, based on new tax incentives for research and development activities in Romania. Positions are endowed with travel resources. The cost of living in Cluj is significantly lower than in Western Europe or the USA (e.g., it is 1/3 of the cost of living in London, UK).

# How to Apply #

In order to apply to this position, the candidate should send an email to --LOGIN--41441f1659396111443b091d7a95c6bcrist[dot]ro , mentioning in the subject of the email “DeepRiemann Postdoc Application”. The email should include among the attachments:

- A cover letter

- A complete CV with full list of publications

- A short research statement (max 3 pages), which describes your research interests and explain why your skills, knowledge and experience makes you a suitable candidate for one or more of the open positions

- The pdfs of 2 selected publications

- Name and contact information of up to 3 referees, which will be contacted directly by the institute for a reference letter

Informal inquiries can be sent to Dr. Luigi Malagò --LOGIN--6368b8d64acf2a845108f5bb9600a438rist[dot]ro , Principal Investigator of the DeepRiemann project.

# About the Institute #

The Romanian Institute of Science and Technology is a non-governmental, not-for-profit, independent research institute, founded in 2009, with the purpose of offering scientists a place to conduct research in Romania with top working conditions, comparable to those you can find in Western Europe. RIST currently performs research on computational and experimental neuroscience, computational intelligence, machine learning, and dynamical systems. The institute is currently undergoing a phase of significant and sustained growth supported by European and Romanian structural funds, with plans for hiring around 20 new scientists and researchers in the next year. The institute has close contacts with the Babeș-Bolyai University, which is the largest university in Romania, and with the Technical University of Cluj-Napoca.

The institute is located in Cluj-Napoca, in the heart of Transylvania, which has been named by Lonely Planet as the top region to visit in 2016. Cluj is a welcoming and innovative city, recently listed as one of the major tech hubs (with a 9% growth per year for IT industry). Cluj has 12 universities, over 70k students every year, and an extremely vibrant startup scene, which has recently named the Silicon Valley of Transylvania.

Cluj is Europe's friendliest city for foreigners, according to a study by the UK Office of National Statistics, and Romania is no. 16 in the Internations best expat destinations of 2016. About 1100 French citizens, 800 Italian citizens and 500 German citizens live in Cluj (source). The city has an international airport, only 8km away from the city center, with flights to more than 30 European destinations.

• Multiple PhD Studentships in Behavioral and Neural Sciencesav at Rutgers University (USA). Received: 26/10/2016, deadline: 15/12/2016.

The Center for Molecular and Behavioral Neuroscience (CMBN) at Rutgers University – Newark is inviting students to apply to its Behavioral and Neural Sciences Graduate Program for the 2017 admissions cycle.

CMBN’s mission is to advance understanding of the brain’s structure and function through excellence in neuroscience research and training. We believe this goal can only be reached through an integrative approach that cuts across the boundaries of traditional disciplines. Thus, CMBN researchers combine molecular, electrophysiological, optogenetics, neurochemical, anatomical and functional neuroimaging, behavioral, pharmacogenetics, and neuropsychological methods to analyze how the brain works, develops, interacts with the environment, and is modified by experience in health and disease.

The program trains students for scientific research careers in neuroscience and prepares students to take positions in academic, medical and industrial research settings. Our focus is on multidisciplinary training of students across the domains of neuroscience. Students are trained to conduct independent research and to present and discuss research ideas and results both orally and in written form. Students also gain experience in both undergraduate and graduate teaching. The program benefits from the active participation of the graduate faculties of Rutgers University-Newark from the CMBN, the Department of Biological Sciences, and the Department of Psychology. CMBN benefits from on-site access to Rutgers University Brain Imaging Center, a research-dedicated facility equipped with a 3T fMRI scanner (Siemens TRIO) for imaging both humans and animals (http://rubic.rutgers.edu). For those with an interest in working with clinical populations, we have superb cooperation with our medical school faculty in neurology, psychiatry, and neurosurgery, as well as collaborations with several medical centers in nearby New York City.

The PhD program lasts four to five years. Starting in year one, students do semester-long research rotations in laboratories of one or more faculty members to learn about different aspects of neuroscience research. Dissertation research can also be completed under the supervision of more than one faculty member, to broaden student training. The course curriculum has been developed to bring students with diverse backgrounds (neuroscience, psychology, cognitive neuroscience, mathematics, neuroimaging, and engineering) up to speed on the topics they will need for their research projects. Most classes involve extensive discussions with faculty, hands-on learning, critical thinking, and scientific writing. Interested students are encouraged to contact potential supervisors in advance to learn more about their research program.

All students are fully funded, regardless of nationality. The program also welcomes applications from students with pre-secured funding or who are currently soliciting other scholarship/studentships. PhD students receive a 12-month renewable graduate assistantship of $29,605 plus tuition remission and a medical benefits plan. Further, the President of Rutgers, The State University of New Jersey, invites outstanding candidates to apply to Ph.D. programs for consideration as Presidential Fellows ($35,000 annual fellowship stipends for 2 years).

Applications (including a CV, statement of research interests, and letters from three referees) for 2017/18 admission must be sent directly to the BNS program.

Full details of our program, and how to apply, are available at: bns.rutgers.edu

For further details of research interests please see individual CMBN faculty webpages at CMBN: cmbn.rutgers.edu

Informal enquiries may be addressed to Dr. Travis Baker (--LOGIN--c41d42ed11e1e16732cae433779931a3rutgers[dot]edu ) or Dr. Juan Mena-Segovia (juan.mena@rutgers).

• Post-doctoral Position in Computer Vision at EPFL (Switzerland). Received: 24/10/2016.

EPFL's Computer Vision Laboratory (http://cvlab.epfl.ch/) has an opening for a post-doctoral fellow. The position is initially offered for 1 year and can be extended for up to 4 years total.

Description:

EPFL's Computer Vision laboratory (http://cvlab.epfl.ch) is about to begin in a joint project with FLARM (http://flarm.com/), a Swiss Company that develops collision avoidance devices for light aircrafts. The current generation of such devices relies on GPS data and we intend to extend their capabilities by also using video cameras as proximity sensors. The post-doctoral fellow will be expected to develop Deep Learning algorithms that can exploit both real and synthetic data to this end.

Position:

The Computer Vision Laboratory offers a creative international environment, a possibility to conduct competitive research on a global scale and involvement in teaching. 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 for post-doctoral fellows start from CHF 81,400 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 Vision and Statistical Machine Learning, 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. Staudenmann (--LOGIN--f0316445d759f8184eb5125418c24cbeepfl[dot]ch ). They must contain a statement of interest, a CV, a list of publications, and the names of three references.

• Research Positions in Computational Modelling of Human Attention at Imperial College London (UK). Received: 23/10/2016, closing date: 14/11/2016.

A researcher position at the postdoctoral or PhD level is available through a MURI (Multidisciplinary University Research Initiative) grant with USA partners at USC, Harvard, UC Berkeley, CSHL, NYU, and UK partners at UCL and U Essex. The grant is on “Closed-Loop Multisensory Brain-Computer Interface for Enhanced Decision Accuracy”, and our role at Imperial is on computational modelling of human attentional processes for enhanced decision support and closed loop BCI in car driving tasks. It is scheduled to start in November 2016, and it is for 3+2 years.

For this and additional positions, please see details and job/person specifications at:

http://www.imperial.ac.uk/personal-robotics/join-us/research-positions/

• Postdoc in data science and neuroengineering at the University of Washington, Seattle (USA). Received: 21/10/2016, deadline: 15/01/2017.

Jason Yeatman (http://depts.washington.edu/bdelab/), and Ariel Rokem (http://arokem.org/) are seeking scientists with a PhD in neuroscience, computer science, electrical engineering, statistics, psychology or related fields, for a collaborative postdoctoral position at the intersection of human neuroscience, data science and neuroengineering.

Suitable candidates will have the opportunity to apply for the WRF postdoctoral fellowships in data science:

http://escience.washington.edu/get-involved/postdoctoral-fellowships

and/or in neuroengineering:

http://uwin.washington.edu/post-docs/apply-post-docs/

Fellows appointed through these programs will be provided with annual salary support of $65,000 for up to two years and an additional stipend of $25,000 over the total period of the appointment that can be used for travel, equipment, software, undergraduate research assistants, or other research costs.

The project focuses on the development of methods for analyzing multi-modal MRI data, and the application of these methods to questions pertaining to human brain development. The long-term goals of the project include development and maintenance of software for the analysis of large openly available datasets of human MRI, and the extraction of valuable information about the biological basis of human cognitive abilities from these data. This involves developing new algorithms for the analysis of diffusion MRI, tools for harnessing cloud-computing to analyze these datasets at scale, and interactive data visualizations (e.g., http://viz.afq-browser.org). The postdoc would have the opportunity to work within a large and international open-source development community (http://dipy.org), and would be encouraged to develop a portfolio of open and reproducible science.

For inquiries please contact Prof. Yeatman (--LOGIN--6e770b4156002e7d0c065c8cb0c43a3auw[dot]edu ) and Ariel Rokem (--LOGIN--3d81fd326be7c9a615a192d9e64b6434uw[dot]edu ). We will both be available to meet with potential candidates at the Society for Neuroscience meeting in San Diego.

The University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.

• Postdoc Position in Data and Network Sciences at Northeastern University (USA). Received: 21/10/2016, deadline: 15/11/2016.

A postdoctoral position is available for an outstanding individual to conduct research at the intersection of data and network sciences. The project involves research on network embedding, models of networked phenomena that are both predictive and descriptive, and enhancing incomplete networks. The mentor for this position is Professor Tina Eliassi-Rad at the Northeastern University’s Network Science Institute and College of Computer and Information Science in Boston, MA.

Qualifications:
* A recent Ph.D. in Computer Science, Network Science, Information Science, Statistics, or related fields.
* Expertise in data mining and machine learning.
* Experience working with complex networks.
* Strong programming skills in Python, C, or Java, and R or MATLAB.

Start date: January 9, 2017

Salary: Commensurate with experience.

Duration: One year with the possibility of renewal for a second year.

Deadline: The initial review date is November 15, 2016 (but sooner is better). Position will remain open until filled.

Application:
1. Please email a cover letter and your curriculum vitae to --LOGIN--dd3fc881fe34a5f15756456e4da4d62cnortheastern[dot]edu as one single PDF file; and make sure to include the string ”[DNSci Postdoc]” at the beginning of your subject line.
2. Arrange for two letters of recommendation to be sent directly to --LOGIN--dd3fc881fe34a5f15756456e4da4d62cnortheastern[dot]edu .

• Reader/Lecturer position in Computer Vision at The University of Edinburgh (UK). Received: 21/10/2016, closing date: 15/01/2017.

Applications are invited for a Lecturer to join the Institute of Perception, Action and Behaviour, part of the School of Informatics, at The University of Edinburgh. For an exceptional candidate, appointment to the position of Senior Lecturer or Reader will be considered. Multiple positions may be available.

The Institute carries out research in Machine Vision, Graphics, and Robotics. It also has substantial cross links to the Institute of Adaptive and Neural Computation. Candidates with an interest in the computational neuroscience of vision, machine learning, or the application of computer vision to robotics and real time sensing are particularly encouraged to apply; but applications in any area of Image and Vision computing will be considered.

The School of Informatics plays a leading role in the EPRSC Centres for Doctoral Training in Robotics and Autonomous Systems, and in Data Science, with opportunities for the appointee to supervise PhD students from the Centres (and from other sources). In partnership with Heriot Watt University, we have recently established the Edinburgh Centre for Robotics, with substantial infrastructure funding for robotic platforms and supporting facilities. The University of Edinburgh is also one of the five joint venture partner universities in the UK's The Alan Turing Institute for Data Science; this gives rise to opportunities to interact with PhD students, research fellows and senior researchers within The Alan Turing Institute. In addition, there are many opportunities to interact with other parts of the University and beyond in order to further the candidate's research agenda. There will be a requirement to be involved in enhancing eLearning and online teaching initiatives.

This is a full-time, open-ended, appointment.

The successful candidate will have a PhD; experience as an established researcher in Image and Vision Computing; enthusiasm to undertake original research including leading a research group; ability to engage with undergraduate and postgraduate teaching and academic supervision; and the ability to be involved in enhancing eLearning and on-line teaching initiatives.

Salary: Lecturer UE08 £39,324 - £46,924 per annum
/ Senior Lecturer or Reader UE09 £49,722 - £55,998 per annum

Closing Date: Sunday January 15, 2017.

You can see more details at: https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=037819
There is an Apply button at the bottom of the page.

For questions about the application procedure, contact:

Vacancy Ref : 037819
Contact Person : Irene Madison
Contact Number : +44 (0)131 650 2723
Contact Email : infhr@inf.ed.ac.uk

For academic questions, contact Bob Fisher: --LOGIN--e26b06e38ab789ef31c0552964a2a5e3inf[dot]ed[dot]ac[dot]uk

• Multiple tenure-track positions in Computer Science at the Rochester Institute of Technology (USA). Received: 14/10/2016, deadline: 15/01/2017.

Computer Science Faculty Openings

The Department of Computer Science at the Rochester Institute of Technology invites applications for the following faculty positions.

Tenure-track assistant professor in the area of cybersecurity (#2768BR)
Tenure-track assistant professor in the area of machine learning (#2753BR)
Tenure-track assistant professor in the area of systems with a focus on pervasive computing (#2754BR)
Lecturer to teach in the areas of introductory and core computer science (#2756BR)

Candidates should visit http://careers.rit.edu/faculty and refer to the BR numbers listed above for specific information about the positions and the application process. Refer to www.rit.edu for information about RIT and the B. Thomas Golisano College of Computing and Information Sciences.

Candidates are encouraged to apply by January 15, 2017.

Computer Science is the largest department at RIT. Our student-centered programs are home to over 1,200 students pursuing BS, MS, BS/MS, and PhD degrees. A year of paid internship experience is required for BS students and optional for MS students. Student employment rates upon graduation are very high, often with leading technology companies. Our innovative problem-based introductory programming sequence has been continuously revised and updated, in part through research projects funded by the National Science Foundation (NSF).

In recent years we have increased our research presence while maintaining our commitment to excellence in student instruction. Our faculty publish in top-tier venues, and contribute to the organization, reviewing and editing of leading conferences and journals. Students at all levels participate in our research programs,including through NSF-sponsored undergraduate internships and summer research programs. Our PhD students have made meaningful contributions to their respective areas, and gone on to secure good positions in industry and academia. Currently research is carried out in the areas of Artificial Intelligence, Computer Graphics, Computing Education, Data Management, Distributed Systems, Programming Languages, Security, and Theory.

RIT does not discriminate. RIT is an equal opportunity employer that promotes and values diversity, pluralism, and inclusion.

• Scientia PhD Scholarship at the University of New South Wales-Canberra (Australia). Received: 14/10/2016, deadline: 11/11/2016.

Scientia PhD Scholarship at UNSW-Canberra for 2017

The deadline for 2017 applications is 11th of November 2016

Topic: Can I Trust You, asked the AI: Learning Humans’ Trustworthiness from EEG

Description: Machine-intelligence is leaving the laboratory. The question of when an artificial intelligence agent/robot can trust a human is gaining a greater practical significance than ever before. This project will extend our work on EEG for human-machine teaming and trusted autonomous systems with novel real-time machine learning models to estimate a human’s trustworthiness level during the control of a swarm of robots. The project will use an augmented virtuality environment that streams a live swarm-robotics task inside a virtual environment operated by a human. You should have a degree in computer science, mathematics or electrical engineering, and an aptitude to innovate.

About the Scientia Scholarship: UNSW Australia has launched a global drive to recruit 700 exceptional PhD students over the next 10 years. This prestigious scholarship offers $40,000 stipend per annum for four years. In addition, a travel and development support package up to $10,000. For International Students, the scholarship will also include a tuition scholarship which waves the fees.

More Information: http://www.husseinabbass.net/ScientiaScholarship.htm

Contact: Prof. Hussein Abbass at --LOGIN--92807efe7af1939c7461d5db26548265adfa[dot]edu[dot]au and cc --LOGIN--460ec51c0b0158342c076984ab078cb6gmail[dot]com

• Postdoc positions on mobile boradband networks at Karlstad University (Sweden). Received: 07/10/2016, deadline: 31/10/2016.

The post-doctoral fellows will work in the framework of the EU H2020 project MONROE (Measuring Mobile Broadband Networks in Europe), and partly also within the nationally funded project HITS (High Quality Networked Services in a Mobile World). For these posts, we are looking for two strongly motivated individuals that will research and evaluate novel transport and network solutions that allow optimizing communication of mobile broadband networks in order to improve end user experience. The work is to be conducted in a collaborative and energetic research group with strong track records in transport layer protocols, low latency communication, mobile broadband performance and network measurements.

For further information and instructions on how to apply please see https://kau.mynetworkglobal.com/en/what:job/jobID:114395/where:4

Application deadline October 31.

• Beca de doctorado en la Universidad de Ciencias Aplicadas de Münster, Steinfurt (Germany). Received: 05/10/2016, deadline: 09/10/2016.

La Universidad de Ciencias Aplicadas de Münster en Alemania (https://www.fh-muenster.de/index.php), trabaja en varias disciplinas científicas, desde biología, química, electrónica o informática. Esta Universidad cuenta con diferentes campus repartidos principalmente por la ciudad de Münster y la de Steinfurt. En esta última es donde se encuentra la presente oferta doctoral, (https://www.fh-muenster.de/fb2/labore_forschung/be/index.php), siendo el director del laboratorio el Prof. Dr-Ing. Peter Glösekötter (https://fh-muenster.de/fb2/personen/professoren/gloesekoetter/index.php). Las líneas de investigación principales son las redes de sensores (WSN) y utilización de algoritmos inteligentes para su optimización, el uso eficiente y la recuperación de energía (energy harvesting) y la electrónica orgánica.

En todas las disciplinas el equipo del Prof. Dr-Ing. Peter Glösekötter colabora con diferentes universidades a nivel europeo, y mediante la presente beca se busca un candidato para realizar la tesis en el seno de este equipo.

El perfil del candidato es el de un Ingeniero Informático con experiencia o interés en el campo de sistemas inteligentes, redes de sensores o algoritmos de localización. Además de con buenas capacidades de trabajo en equipo y ganas de aprender. El candidato debe encontrarse también matriculado o en posesión de un título de Master que le habilite a realizar un doctorado oficial en el Espacio Europeo de Educación Superior (EEES) (compatible con la realización del Master en la ETSIIT, Universidad de Granada). Las competencias lingüísticas mínimas requieren inglés a muy buen nivel. Cualquier conocimiento de alemán será valorado.

Por último, es altamente recomendable que el candidato tenga el expediente académico abierto aún de cara a solicitar becas ERASMUS de movilidad (como fase de entrenamiento hasta el inicio de contrato).

Las condiciones de la plaza de doctorado de cooperación son, en cuanto a su duración de 2+2 años y una remuneración (aproximada) de 25000-28000€ brutos por año.

El candidato será estudiante a todos los efectos de la Universidad de Ciencias Aplicadas de Münster, obteniendo derecho a cursos gratuitos de idioma (alemán e inglés), así como a un abono semestral de transporte (válido para trenes y autobuses de toda la región de Renania del Norte-Westfalia). Por otro lado, también tiene opción a una plaza en la residencia de estudiantes (bajo petición del candidato y sujeto a disponibilidad).

La beca comenzará idealmente a principios (Febrero/Marzo) de 2017, pero se requiere que el candidato pase unos meses de práctica previos en el laboratorio del Prof. Dr-Ing. Peter Glösekötter como periodo de formación.

Las solicitudes deben constar de CV en inglés y carta de presentación/motivación y deben ser remitidas a --LOGIN--8086625919c2ac9a12e4845641e4a094fh-muenster[dot]de .

El plazo de recogida de solicitudes se cerrará el 9 de Octubre a las 23:59 GMT+2. En los siguientes 2 días después del cierre de recogida de solicitudes nos pondremos en contacto con el candidato seleccionado para informarle de los pasos a seguir y comenzar con los trámites.

• PhD Scholarships on Cloud Security available at the University of Coimbra (Portugal). Received: 04/10/2016, deadline: 07/10/2016.

The University of Coimbra is *hiring 3 PhD Candidates* to work on the Project “EUBra-BIGSEA - EUrope- BRAzil Collaboration on BIG Data Scientific REsearch through Cloud-Centric Applications” funded by the European Commission under the Cooperation Programme, Horizon 2020. Work is to be carried out at the Department of Informatics Engineering (http://www.uc.pt/fctuc/dei/) and the candidate will be integrated in the Software and Systems Engineering research group of the Centre of Informatics and Systems of the University of Coimbra (CISUC - https://www.cisuc.uc.pt) For furter information please visit the following link:

https://eden.dei.uc.pt/~cnl/grants/

Deadline to submit applications: Between 19/09/2016 and 07/10/2016

Enquiries about the application can be made to Professor Marco Vieira (--LOGIN--37bc5cd5c4d4b7afeb94806a50c93fcedei[dot]uc[dot]pt ), Department of Informatics Engineering, University of Coimbra.

• Research fellow position in deep learning for image classification at University of Cagliari (Italy). Received: 02/10/2016, deadline: 17/10/2016.

The PRALab group (http://pralab.diee.unica.it/en) at UNICA (University of Cagliari) is looking for a top researcher with expertise in computer vision and pattern recognition. The activities of the Researcher will be focused in the development of advanced tools based on Deep Neural Network (DNN) for the extraction of visual features aimed to the semantic interpretation of images according to the presence or absence of more elementary semantic concepts.

TITLE: Advanced techniques for the identification and extraction of low-level features to the semantic interpretation of images through Deep Neural Network (DNN).
LAB: PRA Lab - Cagliari, Italy
SUPERVISOR: Prof. Giorgio Giacinto
STARTING DATE: November 2016
DURATION: 18 months
TO APPLY: It is possible to download the call from the following link http://dirpersonale.unica.it/concorsi/UserFiles/Files/ASSEGNI2016/GIACINTO_SETTEMBRE2/BANDOINGLESEGIACINTO_settembre2.pdf and the application form and annexes from http://dirpersonale.unica.it/concorsi/UserFiles/Files/ASSEGNI2016/application_form.zip.
For more information please contact Prof. Giorgio Giacinto (--LOGIN--c06293093c740358ba4383f806d3a960diee[dot]unica[dot]it ), Luca Piras (--LOGIN--8346350aea81bc85f3b094740a6a832bdiee[dot]unica[dot]it )
DEADLINE FOR APPLICATIONS: October 17th, 2016

ABOUT PRA Lab:
PRA Lab works on the development of next generation pattern recognition systems for real applications such as biometric authentication, text categorization, and intrusion detection in computer networks. PRA mission is to address fundamental issues for the development of future pattern recognition systems, in the context of real applications.
PRA Lab has 20 years experience on the development of Pattern Recognition systems. The Lab head is Prof. Fabio Roli, IEEE and IAPR fellow. The Lab is made up of more than 30 people, including faculty members, post-doc researchers, PhD students and lab fellows.

RESEARCH TOPIC:
The volume of multimedia content is increasing at a fast space due to the widespread availability of portable devices for the acquisition of images and videos, and the availability of large space for its storage through Internet. Consequently, there is the need for advanced tools for managing such a large volume of data in terms of automatic content classification techniques for the efficient retrieval of multimedia content related to a specific concept. These content are often shared through web sites such as social networks, and they are often described by low-quality tags. This project will be rooted in the past activities of the research group related to interactive multimedia retrieval systems.
In particular, the activities of the Researcher will be focused in the development of advanced tools based on Deep Neural Network (DNN) for the extraction of visual features aimed to the semantic interpretation of images according to the presence or absence of more elementary semantic concepts.

PROFILE:
• MSc in computer science, computer engineering, electronic engineering, telecommunications engineering.
• Programming experience in Python or C/C++.
• Relevant research skills and experience in computer vision, machine learning, pattern recognition (demonstrated by high quality publications)
• A PhD degree with excellent academic credentials or at least two year of documented research activity
• Familiarity with deep learning
• Good English communication skills (oral and written)

• Post-doc position at UCL (UK). Received: 29/09/2016, closing date: 31/10/2016.

Post-doctoral Position available at UCL

Applications are invited for the post of Research Associate in the Department of Experimental Psychology UCL to work with Dr Hugo Spiers and Prof Michael Hornberger (University of East Anglia) in collaboration with Dr Ricardo Silva (UCL), Dr Ed Manley (UCL), Dr Jan Wiener (University of Bournemouth), Dr Ruth Dalton (University of Northumbria), Prof Christoph Hoelscher (ETH Zurich) and Veronique Bohbot (McGill University).

This project is investigating human spatial navigation using data collected from the mobile video game app ‘Sea Hero Quest’. The post is funded by Alzheimer’s Research UK and Deutsche Telekom. The applicant will be involved in analyzing the data collected from the app, contribute to the writing of manuscripts and presentation of the data at international conferences. Data from > 2 million participants will be analyzed which contains coordinate and orientation tracking data during checkpoint and radial maze levels, and accuracy measures during flare levels (see www.seaheroquest.com for details).

Applicants must hold a PhD, or have submitted their thesis, in a field with experience of analyzing time series or large data sets. An interest in spatial cognition and the ability to work as part of a research team is essential. Experience with analyzing trajectory data, knowledge of SQL, Python or R is desirable. A background in Machine Learning, Statistics, Mathematics, or Computer Science is also desirable for this post.

Applications should include a covering letter, CV and the names and addresses of three referees. Shortlisted applicants will be interviewed in early October 2016. Interested candidates can familiarize themselves with other work in the lab at http://www.ucl.ac.uk/spierslab or contact Dr Hugo Spiers (--LOGIN--295f578ca3ba5661b90a59001c0af21fucl[dot]ac[dot]uk ).

To apply see: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?owner=5041416&ownertype=fair&jcode=1585787&vt_template=965&adminview=1

• Open PhD Position in Neuroscience at the University of Bremen (Germany). Received: 29/09/2016, deadline: 23/10/2016.

The Institute for Theoretical Physics at the University of Bremen, headed by Prof. Dr. Klaus Pawelzik, offers a PhD position in the field of Complex Adaptive Systems.

Successful candidates will join an international research group that is located in the field of Complex Adaptive Systems with a specialization in Econophysics, Psychophysics and Computational Neuroscience. In the latter we work on Attention, Neuronal Dynamics, Learning and Neurotechnology.

The project funded by the DFG is entitled:
“Dynamic instabilities from information annihilation in neuronal networks”

Many Complex Adaptive Systems, including human balancing behavior, financial markets, and neuronal networks, exhibit complex spatio-temporal activity. Interestingly, all these systems feature a dynamic balance of opposing influences. In this project we will investigate the consequences of simple but biologically realistic mechanisms that yield a balance of excitatory and inhibitory inputs into neurons. In particular, we will determine the conditions where this balance does not result in simple equilibria but causes complex temporal dynamics and power-law distributed avalanches of activity in recurrent networks. This topic is part of a long term research program where we investigate whether a single general principle, by which criticality emerges from an efficient absorption of information, can account for these observations in a wide range of systems.

The position is funded with a salary comparable to a 65 % TVL13 position and comes with support for 3 years and direct supervision by the principal investigator.

Ideal candidates have a MSc degree in Physics or Mathematics. In any case they must have a strong background in physics and/or computational neuroscience and solid programming skills. Above all, they must have a strong motivation, a sense for responsibility, interest for detailed analysis, and a distinct desire to learn. Fluency in English is required (both written and spoken).
If you are interested, please send your complete application by 23th October 2016 by e-mail (see detailed instructions below) to --LOGIN--a6f65695bd0ff95b78764afd64f92faeneuro[dot]uni-bremen[dot]de . Severely disabled applicants and women with essentially identical and personal suitability will be preferentially selected.

- Detailed instructions for applicants

Your application must comprise:

· Motivation letter
Your 1-2 page essay should reply the following questions:
What is your background? In which fields have you worked before and how do you think this can be useful for the present job?
What attracts you to the field of neuroscience?
Which problem(s) in neuroscience are you most interested in?
Which kind of person are you (e.g. creative, analytic, communicative, pragmatic, etc.) and how do you approach a research problem?
What are your plans for your future career?

· Curriculum Vitae
Send a classical tabular CV with your contact details, your date-of-birth, a current photograph, and all stages of education and employment.
List of skills, awards, publications
List your skills, especially proficiency in languages (including the level of proficiency), that you think might be useful for the job. Also list awards you might have got and peer-reviewed papers, in case there are some.

· Contact details of two academic references
One of the references should be your MSc advisor. Please contact the references prior to listing their names so that they are not surprised if they get contacted.
Your application can be in English or German, whatever language you are more familiar with.

Please send your application to --LOGIN--a6f65695bd0ff95b78764afd64f92faeneuro[dot]uni-bremen[dot]de by 23th October 2016!

All documents must be in PDF format and must not be compressed. Combine all documents to a single PDF file or at least name the separate files appropriately.

If we find your application interesting, we will let you know within two weeks and potentially ask for more documents.

• PhD student at the Technical University of Munich (Germany). Received: 28/09/2016.

We are seeking an enthusiastic and talented PhD student to join the Robotics and Embedded Systems group in the Department of Informatics at the Technical University of Munich (TUM). The successful candidate is supposed to extract the adjacency matrix describing the functional connectivity of the spinal cord circuitry. While our general project is based on electrophysiological patch clamp measurements, the candidate will focus on graph theoretical analysis. The results are expected to be integrated into the Human Brain Project, a €1bn flagship project of the European Commission, as an interface that connects brain simulations with robotic platforms.

The student will work in an enriching, interdisciplinary, and international collaborative framework at the leading department of informatics in Germany (cf. the Shanghai and the QS ranking). Partners of our project include the chair of Sensor Based Robotic Systems and Intelligent Assistance Systems at TUM, members of The Human Brain Project, and the Institute of Robotics and Mechatronics at the German Aerospace Center (DLR). The student is furthermore expected to complete some of his work in the Department of Experimental Medical Science at Lund University.

Requirements:

- master’s degree in mathematics, computer science, physics, or similar
- knowledge in graph theory and its application to measured data
- very good programming skills
- fluent in written and spoken English
- ability to work independently as well as in international teams

Helpful skills:

- knowledge in (computational) neuroscience and neural networks
- Matlab and Python skills

We offer a competitive funding at 100% on the German employee scale TV-L 13. Interested applicants should provide --LOGIN--181d59e21343d5a24287c7a35869131cin[dot]tum[dot]de with a cover letter, a CV and the contact information of reference letter writers. Please don’t hesitate to contact us in case of questions.

Start date: about 2 months after acceptance
Application Deadline: until position is filled

• Post-doctoral Position in Computer Vision at EPFL (Switzerland). Received: 27/09/2016.

EPFL's Computer Vision Laboratory (http://cvlab.epfl.ch/) has an opening for a post-doctoral fellow. The position is initially offered for 1 year and can be extended for up to 4 years total.

Description:

CVLab is collaborating with PSA (https://www.groupe-psa.com/fr/) in Paris on the theme of self-driving vehicles. The goal of this project is to design and develop efficient algorithms that produce in real-time a 3D model of the scene around a car from cameras mounted on the vehicle. In addition to performing Simultaneous Localization and Mapping (SLAM), our algorithms will estimate a semantic class label for each reconstructed 3D point. Altogether, this will allow us to provide an accurate 3D map of the car's surroundings, potentially depicted from various viewpoints, and to reason about obstacles and free space in 3D rather than in the images.

Position:

The Computer Vision Laboratory offers a creative international environment, a possibility to conduct competitive research on a global scale and involvement in teaching. 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 for post-doctoral fellows start from CHF 81,400 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 Vision and Statistical Machine Learning, 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. Staudenmann (--LOGIN--f0316445d759f8184eb5125418c24cbeepfl[dot]ch ). They must contain a statement of interest, a CV, a list of publications, and the names of three references.

• Postdoc position in machine learning at Radboud University Nijmegen (Netherlands). Received: 23/09/2016, deadline: 16/10/2016.

A postdoc position is available in the Data Science department of the Institute for Computing and Information Sciences, Radboud University Nijmegen. The group, headed by Prof. Tom Heskes, works on the development and understanding of (probabilistic) machine learning methods, with a keen eye on applications in other scientific domains as well as industry. Through various collaborations with clinicians, we have unique access to challenging real-world patient data, with the opportunity to make a tangible contribution to better patient care. This particular postdoc position is predominantly funded by the TOP ZonMW project Parkinson Precision Medicine, in collaboration with Prof. Bas Bloem (Radboudumc) and Prof. Anne Stiggelbout (Leiden University).

Successful applicants will have a (nearly completed) PhD in computer science, statistics, or a related discipline. A strong background in mathematics and programming (e.g. Python, R, Matlab), and experience with machine learning, pattern analysis, or advanced statistics are essential.

We offer a 2,5 year postdoc position, with competitive pay and excellent benefits, in a very friendly, interactive and international working environment, at the top computer science institute in the Netherlands.

For more information and to apply see
http://www.ru.nl/vacaturebeschrijving?recid=588061

• PhD in Machine Learning at Coventry University (UK). Received: 20/09/2016.

Please note that we have an opportunity for the following PhD in the area of Deep Reinforcement Learning at Coventry University

http://www.coventry.ac.uk/research/research-students/research-studentships/robot-homing-deeply-reinforced-by-another-robot/

Please note that funding is also available for highly qualified candidates.

• Postdoctoral fellowship in computational neuroscience at Harvard University (USA). Received: 18/09/2016.

Jan Drugowitsch (Department of Neurobiology, Harvard) and Sam Gershman (Department of Psychology, Harvard) are seeking a postdoctoral fellow to work on a project combining psychophysics, computational modeling, and clinical studies. The project focuses on visual structure discovery, using motion perception as a model system. Our goal is to understand how neural circuits represent and reason about complex combinatorial structures, and how these neural circuits break down in autism.

Candidates must have a strong background in Bayesian modeling and computational neuroscience. Experience with visual psychophysics experiments is desirable but not essential. Applicants should send a CV and statement of research interests to Jan Drugowitsch (--LOGIN--0f4af41510ab76fcaa9bd3dcea9ef0d6hms[dot]harvard[dot]edu ).

Applications will be reviewed until the position is filled.

• Postdoc in Machine Learning and NLP at Tulane University (USA). Received: 18/09/2016, deadline: 14/10/2016.

Postdoctoral fellow to work with Parisa Kordjamshidi in the areas of machine learning and natural language processing, at the computer science department of Tulane university. The goal of this position is to develop structured machine learning models for extraction of spatial semantics form natural language and extending this to exploit the visual information, that is, images aligned with text. The models will be developed using a declarative learning based programming (DeLBP) framework using Java/Scala. The candidate, if interested, will collaborate in developing the DeLBP language itself too. This position entails excellent training opportunities in machine learning, natural language processing, combining various modalities and grounding language in perception. The current funding is for two years.

QUALIFICATIONS
Knowledge in machine learning, artificial intelligence, natural language processing,
Publication record with peer-reviewed publications,
PhD in computer science or related area,
Experience/interest in open source software development and fluency in programming languages such as Java and Scala are preferred.

APPLICATION INSTRUCTIONS
Candidates must apply via Interfolio here https://apply.interfolio.com/37114, and provide the following: CV, cover letter, and at least three letters of recommendation. To receive full consideration, applications should be received by Friday, October 14th.

Tulane University is an equal employment opportunity/affirmative action/persons with disabilities/veterans employer committed to excellence through diversity. Tulane will not discriminate against individuals with disabilities or veterans. All eligible candidates are encouraged to apply.

For any inquiries about the position, please Email Parisa Kordjamshidi at --LOGIN--01ef9af58fa35b7184a862f2f11a0936tulane[dot]edu .

• New research positions at Yahoo Research in New York City (USA). Received: 16/09/2016.

Yahoo Research is growing its strategic research teams to enable the company to build new products and platforms that our customers need, now and in the future. We have exciting job openings in several technical focus areas that are located in our New York City office located one block from Times Square.

We hire the best scientific minds who like to roll up their sleeves, make new discoveries and contribute to the success of the business. We are looking for Research Scientists with a PhD degree in Computer Science, Electrical Engineering or Mathematical Optimization. Our scientists specialize in designing and building scalable and reliable distributed and parallel systems that serve all the aspects of big data like data mining, optimization, machine learning, computational economics and analytics. We design innovative algorithms to push the capacity, performance and reliability of our platforms, exploit novel hardware and software architectures, and evaluate the impact in Web-scale production settings. We actively contribute to the scientific and open source communities in foundations of Computer Science, Machine Learning, Mathematical Optimization and Computational Economics.

Here are some reasons to explore this opportunity:
1. We have a huge number of research problems to solve that lie on the intersection of Optimization, Machine Learning and Computational Economics. If you are an expert in one of these fields and want to expand your research profile this is an ideal place for you.
2. We work on game changing products and solutions, you can quickly see how your research ideas and algorithms influence revenue and user engagement.
3. We care about you continuing your fundamental research, publishing papers and keeping track of the latest technologies developed in your respective field.

Responsibilities Include:
· Deep dive into the data to understand and apply patterns, while maintaining a sense of the big picture.
· Work closely with colleagues on the engineering team to put research results into action.
· Provide thought leadership to guide the direction of Yahoo products and services.
· Push your own research agenda and look to influence our products and services with your expertise.

Required Skills and Qualifications:
· PhD in Computer Science, Electrical Engineering or Mathematical Optimization.
· Strong research track record (academic or industrial) in one of the following areas: Mathematical Optimization and Algorithm Design, Data Analytics, Machine Learning, Computational Economics (auctions, pricing, mechanism design) or related areas.
· Strong design and implementation skills in Java or C++. Experience with large-scale production code development a plus.
· Ability to conduct research that is justified and guided by business opportunities.
· Strong communication and presentation skills.

Please send your CV and a short letter of interest to Maxim Sviridenko (sviri@yahoo-inc dot com).

• Phd and Postdoc positions in Deep Learning for Bio-Soundscape Representation at the University of Toulon (France). Received: 14/09/2016.

CNRS - french research center - is opening at LSIS Toulon
2 positions in Deep Learning in fall 2016:

1 PHD =
'DEEP LEARNING FOR NON HUMAN BIOACOUSTICS, applied to AUTOMATIC SPECIES IDENTIFICATION'

18 months+ POSTDOC =
'DEEP LEARNING for TRACKING OF ACOUSTIC SOURCES, applied to SUBMARINE BIOACOUSTICS'

In both grants, the goal of your research will be to improve the current performance of soundscape / bioacoustic pattern detection and classification, at low signal to noise ratio. 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 and/or unsupervised approaches, and (c) to manage and collect large training data to better model the variability of object categories within terrestrial and/or submarine environments.

The usual representations are based on Fourier descriptors, but have limits. We design mid-level or high-level features based on time-frequency segmentation, wavelet and discrete decomposition, compress sensing, non parametric bayesian representation, while developing specific CNN / LSTM Deep Representation Learning.

The validation of the models are conducted on real complex soundscape analyses, from cetaceans to birds songs, from bats to dolphins biosonars... It can also include anthropic target. You'll be involved into citizen program, including associations on biodiversity / bird conservation. You'll be working on smartphone systems to integrate the software solution (online or deported).

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...), Smartphone applications

LOCATION:
University of Toulon, in the CNRS lab LSIS that is heading the SABIOD.org international project. Toulon campus provides scientific facilities and is located in the beautiful Provence area. LSIS lab actually gathers 260 researchers professors and PhD students in computer science, signal analysis and pattern recognition.
Your research will be conducted within collaborations, like National Parks (Port-Cros, La Reunion, Alpin integral reserve...), international labs (CIBRA in Pavia univ., Brisbane univ. in Australia, Cornell univ. USA, Berlin Museum, Victoria univ. Canada, Queen Mary UK, Santiago univ, Chili...). LSIS-DYNI chaired several workshops on machine learning meetings bioacoustics at ICML 2013 and 2014, NIPS 2013, and ICDM 2015.

SUBMIT YOUR APPLICATION (A SINGLE .PDF) OR INFORMAL INQUIRIES TO:
Pr. Glotin (director): --LOGIN--f2a4bf2d9f540de89e5ff97b22df8f00univ-tln[dot]fr , --LOGIN--cad1fe957ef88a5b083c0bb078b033dagmail[dot]com
Screening of applications begins in mid sept 2016.
Application materials should include a CV (university grades, honors / awards, brief statement of research interests, contact details of 2 referees), + 1 or 2 work samples, anything that is genuinely the own work of the applicant (e.g. thesis, computer code, web site demo, research manuscript / essay).

Details / URL =
http://sabiod.univ-tln.fr/jobs.html

• Oferta de contrato predoctoral en modelización de materiales bidimensionales en la Universidad Autónoma de Madrid (Spain). Received: 13/09/2016, deadline: 19/09/2016.

El Instituto de Física de la Materia Condensada (IFIMAC- Unidad de Excelencia María de Maeztu) de la Universidad Autónoma de Madrid ofrece cuatro becas para desarrollar una tesis doctoral dentro del programa de becas predoctorales FPI del MINECO español (Ministerio de Economía y Competitividad). Cada beca se asocia con una de las líneas de investigación estratégicas del IFIMAC. (Más información en http://www.ifimac.uam.es/).

Dentro de la línea de investigación “First principles simulations and modelling”, se ofrece la posibilidad de realizar, en colaboración con la Dra. Blanca Biel de la Universidad de Granada, la siguiente tesis doctoral:

· Título:
Simulaciones ab initio de materiales bidimensionales y sus heteroestructuras

· Directores:
- Pablo Pou (Dpto. Física Teórica de la Materia Condensada, Universidad Autónoma de Madrid) - http://www.researcherid.com/rid/C-3888-2012
- Blanca Biel (Dpto. Electrónica y Tecnología de Computadores, Universidad de Granada) - http://www.researcherid.com/rid/C-5296-2009

ELEGIBILIDAD:
Los candidatos deben cumplir los requisitos dados por el programa de becas predoctorales FPI del MINECO. Más información:
http://www.idi.mineco.gob.es/portal/site/MICINN/menuitem.dbc68b34d11ccbd5d52ffeb801432ea0/?vgnextoid=62b349aaa8dc4510VgnVCM1000001d04140aRCRD&vgnextchannel=11f35656ecfee310VgnVCM1000001d04140aRCRD

PERFIL DEMANDADO:
- Graduado en Física o Ingeniería Electrónica
- Expediente académico por encima de 8/10

CONTACTO:
Blanca Biel (--LOGIN--eed2adf7ab02fefb2c2aca1cccde617cugr[dot]es ) antes del día 19 de septiembre.

• Assistant Professor position in Machine Learning at Dartmouth College (USA). Received: 12/09/2016.

The Dartmouth College Department of Computer Science invites applications for a tenure-track faculty position at the level of assistant professor. We seek candidates who will be excellent researchers and teachers in the area of machine learning. We particularly seek candidates who will help lead, initiate, and participate in collaborative research projects within Computer Science and beyond, including Dartmouth researchers from other Arts & Sciences departments, Geisel School of Medicine, Thayer School of Engineering, and Tuck School of Business.

The Computer Science department is home to 21 tenured and tenure-track faculty members and two research faculty members. Research areas of the department encompass the areas of security, computational biology, machine learning, robotics, systems, algorithms, theory, digital arts, vision, and graphics. The Computer Science department is in the School of Arts & Sciences, and it has strong Ph.D. and M.S. programs and outstanding undergraduate majors. The department is affiliated with Dartmouth's M.D.-Ph.D. program and has strong collaborations with Dartmouth's other schools.

Dartmouth College, a member of the Ivy League, is located in Hanover, New Hampshire (on the Vermont border). Dartmouth has a beautiful, historic campus, located in a scenic area on the Connecticut River. Recreational opportunities abound in all four seasons.

We seek candidates who have a demonstrated ability to contribute to Dartmouth’s undergraduate diversity initiatives in STEM research, such as the Women in Science Program, E. E. Just STEM Scholars Program, and Academic Summer Undergraduate Research Experience (ASURE). We are especially interested in applicants with a demonstrated track record of successful teaching and mentoring of students from all backgrounds (including first-generation college students, low-income students, racial and ethnic minorities, women, LGBTQ, etc.).

Applicants are invited to submit application materials via Interfolio at https://apply.interfolio.com/37189. Upload a CV, research statement, and teaching statement, and request at least four references to upload letters of recommendation, at least one of which should comment on teaching. Email --LOGIN--56a336ca067dd9da5e322b6cb7fafb18Dartmouth[dot]edu with any questions.

Dartmouth College is an equal opportunity/affirmative action employer with a strong commitment to diversity and inclusion. We prohibit discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications by members of all underrepresented groups are encouraged.

Application review will begin January 1, 2017, and continue until the position is filled.

• Researcher position in brain-inspired computer vision at ATR Brain Labs, Kyoto (Japan). Received: 09/09/2016.

Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan, has an open researcher position in brain-inspired computer vision. Our institute has a long tradition in computational neuroscience and has recently been promoting research of computational modeling of primate visual systems based on hierarchical learning theory (project outline: http://www.cns.atr.jp/~hosoya/project_outline.pdf). We seek for applicants who are interested in working on brain-inspired machine learning algorithms for vision in collaboration with our computational neuroscientists for vision.

Applicants must have a Ph.D. or be near completion in a relevant field. The applicants are required to show an expertise in machine learning research for visual processing as well as a strong interest in neuroscience. The successful candidate will be asked to propose and autonomously work on
(1) a research topic using an original method that has a realistic applicability (e.g, image/video analysis) and a connection to primate vision, and
(2) a research topic that applies, to a realistic problem (e.g., image/video analysis), computational models of primate vision developed in our institute.

· Number of openings
One

· Employment conditions
- Position: Full-time Researcher
- Tenure: Single year based contract, renewable based on evaluation
- Treatment: Based on individual performance
- Work Location: Advanced Telecommunications Research Institute International (ATR)
2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan

· Application materials
Please submit the following five materials to the contact address below, either in printed or electronic form:
• 1 CV
• 2 List of publications
• 3 Reprints of 1-3 major publications
• 4 Essay (up to two pages in A4 or letter size) describing:
- Summary of your previous research
- Interests for research
- Additional research skills not directly foreseeable from 1 or 2
• 5 Recommendation letters from more than two researchers
* If submitted in printed form, original documents will not be returned.

· Judging system
After documentary examination, we ask for presentation and interview if needed.

· Starting date
Soon (negotiable)

· Deadline for application
Opens until positions are filled.

· Contact
Department of Dynamic Brain Imaging
ATR Cognitive Mechanisms Laboratories (Application for Researcher Position)
2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan
Email: --LOGIN--5d7f3c938e7d66ad7aa18cbd7f482c73atr[dot]jp
Web: http://www.cns.atr.jp/dbi/en/open-positons/

· Use of personal data
All personal data received will be properly managed and only be used for the purpose of recruitment.

• Postdoctoral Researcher in Reinforcement Learning at the University of Oxford (UK). Received: 09/09/2016, closing date: 07/10/2016.

Researcher on Reinforcement Learning Project
Department of Computer Science, University of Oxford
Grade 7: £30,738 - £37,768 p.a.

A full-time postdoctoral position is available for a researcher in the area of reinforcement learning. This is a European Research Council-funded project, working with Professor Shimon Whiteson. The goal of the project is to develop a new class of reinforcement learning and sample-based decision-theoretic planning methods that overcome fundamental obstacles to the efficient optimisation of control policies for autonomous agents. Creating agents that are effective in diverse settings is a key goal of artificial intelligence with large potential implications in robotics, e-commerce, information retrieval, traffic control, etc.

The postholder will be expected to collaborate in the preparation of research papers, development and analysis of new algorithms, present papers at conferences, act as a source of information and advice to other members of the group on scientific procedures and experimental techniques, which may include stochastic optimisation, Bayesian optimisation, Bayesian quadrature, and deep learning.

The postholder will require a doctoral degree (or be very close to completion) in Computer Science or a related area, together with a documented track record of published, peer-reviewed research in machine learning and/or decision-theoretic planning (or a related area) and possess strong mathematical skills in probability and statistics together with strong programming skills. Experience of conducting large-scale experiments with complex datasets and simulators is highly desirable.

The closing date for applications is 12.00 noon on 7 October 2016. Interviews are expected to be held in mid-late October 2016.

For further details and to apply please visit: https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=125326

• Postdoctoral research associate in machine learning at the Romanian Institute of Science and Technology (RIST), Cluj (Romania). Received: 07/09/2016.

We are looking for a postdoctoral research associate who will work on machine learning models that allow an artificial agent to develop structured, hierarchical representations of its environment, by interacting with this environment. These models will integrate and develop upon curiosity-based learning, Bayesian theories of deep learning, and reinforcement learning, and will be tested in simulations of physical environments (e.g., a robotic simulator) as well as in purely computational environments.

The position is available within an EU-funded project that aims to develop artificial intelligent systems able to automatically generate software. After 3-4 years, the project is expected to spin off a startup, and the candidate will have the opportunity to be part of this startup.

The position is offered for an initial period of 3 years, at the Romanian Institute of Science and Technology (RIST) in Cluj, Romania. The position will be part of the Deep Computational Intelligence group, one of two newly-formed groups in machine learning where about 20 new postdoctoral research associates and research software developers will be hired in the next year.

We are looking for self-motivated, independent, creative scientists, with strong analytical and computational modeling skills. Candidates should have a PhD, preferably in machine learning, statistical learning, representation learning, robotics or related fields. Candidates must have a strong publication record.

To apply, send to --LOGIN--ab1570e2cb444cde32b93f4f63786203rist[dot]ro your CV (indicating your 3 most representative publications), a letter of intent in which you motivate your interest in this position and explain why your skills, knowledge and experience makes you a suitable candidate for the position, as well as the names and contact details of at least two references.

The contract will start as soon as the position is filled, after September / October 2016. Net salary is from 1,700 to 2,000 euros per month, while the cost of living in Cluj is significantly lower than in Western Europe or the USA. The working language is English.

The project, called “Automated software development through abstraction in deep, distributed computational models” (AutoWare), is funded by European structural funds and is led by Dr. Bipin Indurkhya (project director) and Dr. Răzvan Valentin Florian (associate project director).

Cluj hosts Romania's largest university and boasts a strong, rapidly developing IT industry. Cluj is the main city of Transylvania, which has been named by Lonely Planet as the top region to visit in its 2016 Best in Travel ranking.

More information: http://rist.ro/en/details/news/postdoctoral-research-associate-in-machine-learning.html

• Postdoc position in Deep Learning applied to Compressing Audio Signals at Victoria University of Wellington (New Zealand). Received: 07/09/2016.

Applications are invited for a position as a postdoctoral researcher working with Prof Bastiaan Kleijn and Dr David Balduzzi at Victoria University Wellington. The project, funded by Google, is to develop new multi-channel audio encoding methods using deep learning (specifically, recurrent neural networks) in collaboration with researchers at UC Santa Barbara. The position is for one year, potentially renewable.

Victoria University is located in Wellington, a compact, cosmopolitan city of 400,000 people. The campus is a short walk from downtown and the waterfront.

QUALIFICATIONS: Applicants should have a Ph.D. in Computer Science, Electrical Engineering or related fields. Experience in machine learning and/or signal processing along with a strong research track record is essential. For further information please contact Bastiaan Kleijn at --LOGIN--56514119383717b79e7b70f82d3a0641ecs[dot]vuw[dot]ac[dot]nz (http://ecs.victoria.ac.nz/Main/BastiaanKleijn) or David Balduzzi at --LOGIN--0aec8e987b560ae117dac7ecb6c2b65avuw[dot]ac[dot]nz (https://sites.google.com/site/dbalduzzi/).

TO APPLY: Applications should include - a curriculum vitae with list of publications
- names and email addresses of two references
- a short (1-2 page) summary of past research and relevant qualifications
- a personal Web page, if available

The position is to start as early as December 2016 or at an agreed later date. Applications will be reviewed when they are received.

• Postdoc in deep learning for histopathological image analysis at KTH and SciLifeLab in Stockholm (Sweden). Received: 06/09/2016, deadline: 01/10/2016.

This position is part of a collaboration with pathologists from the Karolinska University Hospital. The main task will be to develop novel computational methods to analyze histopathological images of breast cancer tissue from the Karolinska tissue biobank. The successful applicant will develop methods to recognize and categorize morphological growth patterns of cancer cells within histopathological images. The goal is to find correlations between these growth patterns and patient outcome. If successful, these patterns may serve as powerful predictors for patient treatment. One of the main responsibilities of the position will be to develop convolutional neural networks (CNN) and statistical methods capable of recognizing and categorizing morphological patterns from tissue image data.

Qualifications
Candidates must have a PhD in computer science, computational science, or a related field and proven experiences in implementing, analyzing, and optimizing scientific applications for image analysis. Good knowledge of standard computer vision techniques and a deep learning framework (Theano, Tensorflow, Caffe, Torch) is required. Programming knowledge of a related scientific computing language (R, Matlab, Python, Lua, C++) is also required. Experience with parallel programming environments and cloud computing is a plus. Previous experience working with medical or biological images is also desirable.

Application:
Log into KTH's recruitment system in order to apply to this position (https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:112608/where:4/). You are responsible to ensure that your application is complete according to the ad.

Applications shall include the following documents:
Cover letter
Curriculum vitae
Transcripts from university
References
Representative publications (optional)

Please observe that all material needs to be in English.

Your complete application must be received at KTH no later than 01.Oct.2016 11:59 PM CET

About KTH and Science for Life Laboratory:
KTH Royal Institute of Technology in Stockholm (www.kth.se) is one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as in architecture, industrial management, urban planning, history and philosophy. The position will be formally placed with the department for Computational Science and Technology (CST) at KTH (https://www.kth.se/en/csc/forskning/cst), but work will be carried out at the Science for Life Laboratory (www.scilifelab.se).

The Science for Life Laboratory (SciLifeLab) is a collaboration between four universities in Stockholm and Uppsala: Karolinska Institutet, KTH, Stockholm University and Uppsala University. It combines advanced technology with broad knowledge in translational medicine and molecular life sciences. Since 2013, SciLifeLab has a mission from the Swedish government to run infrastructure to support researchers nationally and to be an internationally leading center for large-scale analyses in molecular life sciences targeting research in health and environment.

Other details:
Type of employment: Temporary position longer than 6 months
Contract type: Full time
First day of employment: According to agreement
Salary: Monthly salary
Number of positions: 1
Working hours: 100%
City: Stockholm
County: Stockholms län
Country: Sweden
Reference number: D-2016-0596

Contact:
Maria Widlund, HR Manager, --LOGIN--1dd8ff3b3e2262f3d662eff206ef42abcsc[dot]kth[dot]se , +46 8 790 97 54
Kevin Smith, Assistant Professor, --LOGIN--0e67e3cc1ab1451bb7631dda7b218495kth[dot]se , +46 8 524 812 46

• HiPEAC Jobs: European Network on High Performance and Embedded Architecture and Compilation. Received: 05/09/2016.

Find your ideal computing job in Europe.
There are currently 45 open positions!

https://www.hipeac.net/jobs

• PhD positions in computational neuroscience at the University of Edinburgh (UK). Received: 02/09/2016.

3 YEAR PhD IN COMPUTATIONAL NEUROSCIENCE, UNIVERSITY OF EDINBURGH.

We are happy to announce a last minute opening in our PhD programme in COMPUTATIONAL NEUROSCIENCE at the University of Edinburgh.

Applicants need to have UK citizenship, or have been in the UK for the last 3 years.

The studentship is ideal for a student who wants to apply their computational and analytical skills to problems in neuropsychology and related fields. The following PhD is available (supervised by Richard Shillcock, in Informatics and Psychology, and Bonnie Auyeung, in Psychology)

“Computational and neuropsychological study of hemisphericity in the distribution of cognitive ability across a population, with particular reference to autistic savantism.”

The PhD project will be in collaboration with Psychology in the University Edinburgh. Edinburgh has been voted as 'best place to live in Britain', and has many exciting cultural and student activities.

Applicants should have a competent computational background, particularly in neural networks, and a background/interest in neuropsychology. Motivated students with other backgrounds may also be considered.

Application procedure:
For general information, see http://www.anc.ed.ac.uk and for specific information contact Richard Shillcock at --LOGIN--232334d2165da26a8c2d2757d9fb4132inf[dot]ed[dot]ac[dot]uk

Apply formally at
http://www.ed.ac.uk/studying/postgraduate/degrees/index.php?r=site/view&id=489

Rapid action from applicants will be required.

• Associate professor position in Data Science at the Norwegian University of Life Sciences (Norway). Received: 01/09/2016, deadline: 01/10/2016.

The Department of Mathematical Sciences and Technology (IMT) at the Norwegian University of Life Sciences (NMBU) as Ås near Oslo has a permanent, full-time position available for an Associate Professor in Data Sciences (Big Data). The position is part of the University's programme for the recruitment of top researchers, which aims to recruiting an internationally leading, early-career researcher with a high potential for NMBU.

The position requires research of high international quality.

Big Data is relevant to several of NMBU's academic communities working within the environmental sciences and biosciences, and is especially important in fields of research and teaching in IMT. The goal is for the position to contribute to collaborations in the field across academic communities at IMT and NMBU. The person appointed to the position must therefore have excellent collaboration skills.

The position will include:
• one PhD Position (3 years)
• NOK 0.25 million in operating funds

For a detailed description of the position, our expectations and conditions, please see

https://www.jobbnorge.no/en/available-jobs/job/127472/associate-professor-in-data-sciences-big-data-refno-16-03477

Deadline for applications is Oct 1, 2016.

• PhD Scholarships in Datamining, Optimisation, Artificial Intelligence and related subjects at The University of Nottingham Ningbo (China). Received: 29/07/2016, deadline: 15/08/2016.

The University of Nottingham Ningbo has PhD scholarships for suitable candidates who are interested in Datamining, Optimisation, Artificial Intelligence and related subjects such as:
• Data mining/machine learning challenges: large data sets, mixture of data types (including images), data quality and security issues.
• Optimisation challenges: dealing with uncertainty, dynamic problems, large scale optimization problem, new optimization and data mining combinations such as simulation and machine learning.
• Social challenges – users need to understand and trust the solution methods or they will not use them optimally. What technical implications does this have in application areas such as medical data, logistic problems and other areas of the digital economy.

The research projects are multidisciplinary in nature and will involve solving business problems related to designing, planning, controlling and improving of operations and management processes. The scholarships will be attractive to researchers from a range of industrial, engineering, computer science or management backgrounds.

PhD Scholarship package:
The scholarships are based at The University of Nottingham’s campus in Ningbo, China. They are available from September 2016 for a period of three years, with a stipend of up RMB 3,000 per month and an accommodation allowance of RMB 4,800 per year for local students and RMB 12,000 per year for international students. Tuition fees are fully funded and medical insurance is provided. Teaching assistantships with extra payment may be available for talented PhD students.

How to Apply:
The application deadline is 15 August 2016. To apply please send an email with the subject IAMET scholarships and the following attachments to --LOGIN--66995bb40a71b54dc7bf5d5417a1bf02nottingham[dot]edu[dot]cn :
· Application Form (please download here):
http://www.nottingham.edu.cn/en/admissions/domestic-students/phdprogramme/how-to-apply/application--assessment-procedure.aspx
· A brief research proposal (1-2 pages)
· Copies of degree certificate for both undergraduate and postgraduate study (Xueli certificates required for applicants from Chinese universities)
· Official transcripts showing marks for both undergraduate and postgraduate study (in English only, with university’s official stamp on)
· Two references which can be emailed by the referees directly to --LOGIN--66995bb40a71b54dc7bf5d5417a1bf02nottingham[dot]edu[dot]cn
· English proficiency test report (not required for native English speakers or those with degrees from English speaking countries)
· A copy of passport-sized colour photograph
· A copy of your passport. For Chinese applicants a copy of ID card is accepted

Informal inquiries may be addressed to Professor Uwe Aickelin --LOGIN--0597bb671e9876595ec2ef160c8d6fe6nottingham[dot]edu[dot]cn

• Postdoctoral Researcher on network mechanisms for Smart Cities and the Internet of Things at the Institute of Telecommunications, University of Aveiro Campus (Portugal). Received: 28/07/2016, deadline: 24/08/2016.

Institute of Telecommunications has an open PostDoctoral Researcher position in a Project with Carnegie Mellon University (CMU): “S2MovingCity: Sensing and Serving a Moving City”.

This is a research project in Smart Cities and Internet of Things that addresses both the communication infrastructure between vehicles and sensors, and data analysis and visualization.

The work in this position will focus on the network mechanisms in a vehicular network that are required to make it a communication infrastructure that both enables the transmission of sensors information to the cloud and disseminates video content through the vehicles. These mechanisms will base their roots on delay tolerant networks, content distribution networks and peer-to-peer networks.

The mechanisms to be developed will be tested in real environments. Through previous projects we were able to deploy the largest vehicular network in the world, with more than 600 vehicles connected between themselves and the Internet, and several hundreds of sensors through the city.

The work is to be performed within the Institute of Telecommunications in Aveiro, in the University of Aveiro Campus, Portugal.

Applicants should send CV via email to --LOGIN--4645142b061f8af75966fd42f45d8b0fav[dot]it[dot]pt with Subject: Ref 759/2016 by August 24th 2016.

Grant should start in September or October 2016.

• Postdoctoral Researcher on network mechanisms and protocols for Over-the-top Multimedia Content Delivery at the Institute of Telecommunications, University of Aveiro Campus (Portugal). Received: 28/07/2016, deadline: 24/08/2016.

Institute of Telecommunications has an open PostDoctoral Researcher position in a Project in cooperation with AlticeLabs: “O2TDelivery: Over-the-top Multimedia Content Delivery for Next Generation Mobile Networks”.

This is a research project in the area of high definition content delivery through the Internet (over-the-top).

The work in this position will focus on the network protocols and mechanisms for over-the-top content distribution networks, with a special focus on the support of Catch-Up TV service, such as the one in the Portuguese Meo, which enables the visualization of all contents in the last 7 days. This work will also consider the performance in a wireless network and the possibility to provide prefetching to the WiFi hotspots.

The mechanisms to be developed will be tested in real environments. Through previous projects we were able to deploy a content distribution platform with AlticeLabs for testing purposes.

The work is to be performed within the Institute of Telecommunications in Aveiro, in the University of Aveiro Campus, Portugal.

Applicants should send CV via email to --LOGIN--4645142b061f8af75966fd42f45d8b0fav[dot]it[dot]pt with Subject: Ref 758/2016 by August 24th 2016.

Grant should start in September or October 2016.

• Postdoc position in Computational Neuroscience at Imperial College London (UK). Received: 28/07/2016.

Requirements:
The Computational Neuroscience Laboratory, headed by Dr. Claudia Clopath, is looking for a talented Postdoc, 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), programming skills, and a keen interest in biological and neural systems. A PhD in the field of computational neuroscience is a plus.

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 Postdoc candidate will be working to build those models of synaptic plasticity, and study the functional role of synaptic plasticity in artificial neural networks.

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 and CV (including publication list) to --LOGIN--7caa17d956dc71f10cc3f88f7594ec11gmail[dot]com , with the subject containing 'Postdoc2016'. In addition, candidates should organize two letters of reference to be sent to --LOGIN--7caa17d956dc71f10cc3f88f7594ec11gmail[dot]com , with the subject containing 'Postdoc2016'. The position is open until filled but the earlier applications will be considered first.

• PhD Studentship in Computational Neuroscience at Ulster University (UK). Received: 27/07/2016, closing date: 26/08/2016.

Applications are invited for a Research Challenge Fund PhD studentship in Computational Neuroscience tenable in the Faculty of Computing and Engineering at Ulster University, UK.

This PhD project, based on a recently awarded UK BBSRC project, is a collaboration between Ulster University and Oxford University on the development of an advanced and realistic computational model of neuronal circuit involves in emotional learning. For more information, please refer to:
https://www.ulster.ac.uk/__data/assets/pdf_file/0011/95519/BBSRC-2016-2017-v2.pdf

The computational neuroscience and neural systems research community at the Intelligent Systems Research Centre (ISRC) at Ulster University focuses on both fundamental brain and behavioural sciences, and their applications, including clinical neuroscience and neural engineering. The successful PhD candidate will benefit from the expertise of Ulster’s computational neuroscience and machine learning community, and will interact closely with collaborators at Oxford University.

The application process for the Ph.D. studentship is opened with a closing date for applications on the 26th August 2016.

All applicants should hold a first or upper second class honours degree (or equivalent) in Computer Science, Mathematics, Physics, Engineering, Statistics, Neuroscience, Biology, or a cognate area. Applications will be considered on a competitive basis with regard to the candidate’s qualifications, skills, experience and interests. Successful candidates will enrol as of 1st October 2016, on a full-time programme of research studies leading to the award of the degree of Doctor of Philosophy. The studentships, which are highly competitive, will comprise fees together (Home/EU Rate) with an annual stipend of £14,296 and will be awarded for a period of up to three years’ subject to satisfactory progress. Applicants must be highly motivated and willing to pursue research and develop skills across disciplines.

If you wish to apply for this studentship, please follow the instructions and procedures at:
https://www.ulster.ac.uk/research-and-innovation/phdresearch-degrees/how-to-apply
and
https://srssb.ulster.ac.uk/PROD/bwskalog.P_DispChoices

The successful student will be based primarily at the ISRC with opportunities to interact with other related ISRC research teams, the Biomedical Sciences Research Institute, Centre for Stratified Medicine, and other collaborators. The ISRC is situated in the city of Derry~Londonderry, which received the City of Culture 2013 award.

If you wish to discuss your proposal or receive advice on this project, please contact:
Dr. KongFatt Wong-Lin (--LOGIN--18de3223b7fcd65e5d932aabb878e485ulster[dot]ac[dot]uk ).

• Research Fellowship in reconfigurable computing or field-programmable technology at Imperial College London (UK). Received: 27/07/2016, deadline: 12/09/2016.

Excellent final-stage PhD students or early-career postdoctoral researchers interested in establishing their research in reconfigurable computing or field-programmable technology at Imperial College, please consider Imperial College Research Fellowships:
http://www.imperial.ac.uk/junior-research-fellowships/information-for-applicants/

Professor Wayne Luk will be pleased to sponsor a suitable applicant to spend up to 4 years at Imperial - please note that in exceptional cases, applicants are permitted to apply before the submission of the PhD but any offer of funding will be dependent on the PhD being awarded before the start of the fellowship.

Deadline for application is 12 September but anyone interested should read the “information-for-applicants” carefully and contact --LOGIN--1ba18c2c270204ec06eb0e90404551c5imperial[dot]ac[dot]uk as soon as possible.

• PhD studentship available at Manchester Metropolitan University (UK). Received: 26/07/2016, closing date: 05/08/2016.

Road congestion has become a significant problem, especially in areas with new infrastructure developments. An intelligent decision support system will be developed to alleviate this problem.

This exciting interdisciplinary project is in collaboration with Liverpool John Moore University. The supervisory team consists of experts in the areas of Computer Science, Transport, and Engineering.

- Project aims and objectives

This project aims to develop a decision-support system for congestion control/mitigation. The objectives include:

To collect traffic data.
To develop a new traffic pattern model for congestion prediction.
Based on 1 and 2, to develop a new decision-support system for efficient road congestion control/management (e.g. dynamic-routing and maintenance-scheduling).
To test and evaluate the system.

- Specific requirements of the project

The candidate is expected to possess the following academic qualifications and skills.

1st or 2:1 honours degree in related areas (Computer Science, Engineering) or MSc. degree ( Merit).
Excellent analytical skills/Pattern recognition/programming skills.
Experience in working on transportation problems(e.g.transport and logistics modelling, simulation and optimisation).
Good team working skills.
Experience of having worked with industrial partners is desirable.
Due to the nature of this interdisciplinary project, the willingness of traveling occasionally to work with the project supervisory team in Liverpool John Moore University is essential.

- Student eligibility

Home/EU students

- Supervisory Team

Informal enquiries can be made to:Dr Liangxiu Han (Email: --LOGIN--3d4db708c6bac5c0954e495e12ab5541mmu[dot]ac[dot]uk ) Dr. Trung Thanh Nguyen (Email: --LOGIN--3f272d22b1a0f93d75ee204e615adae0ljmu[dot]ac[dot]uk ) Dr Princy Johnson (Email: --LOGIN--ae7326bb54e247004b54fe419f2dd5b3ljmu[dot]ac[dot]uk )

- How to apply

Please quote the reference: HTP-2016.

Applications should be completed using the Postgraduate Research Degree Application Form.

Application Form should be emailed to: --LOGIN--35bca7558fed00c901942e8eb3aa31c3mmu[dot]ac[dot]uk .

PLEASE NOTE that Section 9 of the application should be used to write a personal statement outlining your suitability for the study, what you hope to achieve from the PhD and your research experience to date.

Closing date: 5th August 2016

you may find the web adverts here:
http://www2.mmu.ac.uk/research/research-study/scholarships/detail/predicting-and-mitigating-congestions-on-roads.php
https://www.findaphd.com/search/ProjectDetails.aspx?PJID=76379

• PhD position on multilingual and affective speech synthesis at Idiap Research Institute (Switzerland). Received: 25/07/2016.

In the context of a Swiss NSF grant, we seek a PhD student to work on multilingual and affective speech synthesis.

http://www.idiap.ch/education-and-jobs/job-10193

The research will begin with the state of the art in speech synthesis, probably based around deep neural networks (DNNs). Such networks have been shown recently to produce synthetic speech with better overall quality, especially with respect prosody, than other techniques. The student will then focus on modelling of speech with a view to extraction, modeling and adaptation of emotion (affect) in synthetic speech. To demonstrate the language independence of the models, it will be necessary to work in two or three languages.

Several research threads are possible; one thread will involve creating a neural model of prosodic features. It will build upon recent work here at Idiap where we have created a general physiologically plausible model for prosody.

Another research thread will involve analysis and modification of the phonetic quality of the synthetic speech. This is in keeping with observations that formant positions can change with affective indicators such as valence and arousal.

Depending on progress, there is also the possibility to address cross-lingual modelling of affect. Here, the goal would be to detect emotion in one language and reproduce it in another language.

Owing to availability of data, the work will probably proceed using German data. However, our locality dictates that evaluation will be easier in French. Amongst the Swiss languages, Italian is also appealing.

The ideal Ph.D student should have a master (or equivalent) degree in engineering, computer science, or applied mathematics. S/he should have a good background in mathematics, statistics, and programming (C/C++, Python, scripting langages). Given the multlingual nature of the project, the position would suit someone with some knowledge of one or more of the languages described above. In order to balance the group, we especially encourage female applicants. However, all applications will be judged on merit.

Applications will be considered as they are received; the position will remain open until filled.

About Idiap:
Idiap is an independent, non-profit research institute recognized and supported by the Swiss Government, and affiliated with the Ecole Polytechnique Fédérale de Lausanne (EPFL). It is located in the town of Martigny in Valais, a scenic region in the south of Switzerland, surrounded by the highest mountains of Europe, and offering exciting recreational activities, including hiking, climbing and skiing, as well as varied cultural activities. It is within close proximity to Geneva and Lausanne. Although Idiap is located in the French part of Switzerland, English is the working language. Free French lessons are provided.

Idiap offers competitive salaries and conditions at all levels in a young, dynamic, and multicultural environment. Idiap is an equal opportunity employer and is actively involved in the “Advancement of Women in Science” European initiative. The Institute seeks to maintain a principle of open competition (on the basis of merit) to appoint the best candidate, provides equal opportunity for all candidates, and equally encourage both genders to apply.

• Post-doc position in robotic learning at Telecom Bretagne, Brest (France). Received: 25/07/2016, deadline: 31/08/2016.

A post-doc position is available at Telecom Bretagne, Brest, France to work with Mai Nguyen funded by the European FP-7 project ECHORD++ for the experiment KERAAL.

PROJECT:
The experiment KERAAL is a 18-month project funded by the European Union.

KERAAL aims to provide robot mediated physical exercises for people suffering from low back pain. Since physiotherapists are not able to spend enough time with patients, the robot coach will demonstrate the exercise, monitor the patients exercise, correct the exercises and suggest right methods using expert Human Robot Interaction and Intelligent Tutoring System, thereby providing physical presence which is not acquired via Virtual Reality systems. The project is lead by a consortium including the hospital CHU Brest, the robotics startup Generation Robots, and the university (Grande Ecole) Telecom Bretagne.

Using the kinect v2 and the open source poppy human robot (https://www.poppy-project.org/en/robots/poppy-humanoid), Telecom Bretagne is in charge of developing the intelligent tutoring system that enables the system to evaluate the performance of the patients.

KEY RESPONSIBILITIES
The position starts in October 2016 and finishes in February 2018.

The postdoc will be in charge of:
- developing an algorithm for an intelligent tutoring system, based on probabilistic models, to assess the patient’s movement and give feedback to help him improve on rehabilitation exercises.
- cooperate with the partners to integrate their HRI.
- carry out clinical evaluations in partnership with physiotherapists from the rehabilitation centre.
- analyse the clinical results.
- contribute to the updating and support of the robotic platforms.

The candidate:
- must hold a Ph.D. related to machine learning and/or robotics, and in particular imitation learning.
- are expected to be experienced in programming in python and using linux and windows.
- are fluent in spoken and written English.
- familiarity with the Kinect v2 and Poppy platforms are a plus.

CONTACTS AND APPLICATIONS:
The leader of the project is Mai Nguyen, lecturer at Télécom Bretagne. Please send your curriculum vitae, contacts for two references, as well as a cover letter to --LOGIN--9104260a0d9c37f90349bc683e306fbemlistes[dot]telecom-bretagne[dot]eu . Feel free to contact us for further information too. For any contact, please start the subject of the email by “[KERAAL postdoc 2016]”

The deadline for applying to the position is 31st August.

• PhD scholarship at University of Technology Sydney (Australia). Received: 25/07/2016.

One PhD scholarship is available at UTS Australia. The stipend is $26288 per year for three years with tuition fee waived and with a possible 6 month extension. It is research and industry based.

The research focus is on scalable data systems such as scalable cross-domain data analytics, scalable data platforms. Strong track record on scalability, Spark/Hadoop, data mining, machine learning or software engineering is preferred. IELTS score is required with overall no less than 6 and writing no less than 6.

Preference will be given to the student who has the ability or is able to learn skill sets or operating in the SMACK stack (spark-mesos-Akka-Cassandra-Kafka or alike), has some data integration and management skills and work in the following vertical domains if opportunity arise: smart cities, industry IoT, cybersecurity and health.

Please contact Prof. Jinjun Chen at --LOGIN--ac1e25d4ec9ba66b6a988d58ddad67feuts[dot]edu[dot]au if you are interested.

For more information, please refer to www.swinflow.org/~jchen or http://www.uts.edu.au/research-and-teaching/our-research/global-big-data-technologies-centre

• Open position in Computational Neuroscience at Juelich Research Centre, Freiburg (Germany). Received: 22/07/2016, deadline: 19/08/2016.

Forschungszentrum Jülich pursues cutting-edge interdisciplinary research on the pressing issues of our time. It helps to solve the grand challenges facing society in the fields of energy and environment as well as information and the brain. With more than 5,700 employees, Jülich – a member of the Helmholtz Association – is one of the large interdisciplinary research centres in Europe.

The Bernstein Network Coordination Site (www.nncn.de) is a German research network in the interdisciplinary field of Computational Neuroscience. The network was initiated in 2004 by the Federal Ministry for Education and Research (BMBF) and connects over 200 research groups at more than 20 locations throughout Germany. The Bernstein Coordination Site (BCOS) supports the network in all joint activities, represents the network nationally and internationally, is responsible for the joint press and public-relations work, and coordinates all activities of the Smart Start Joint Training Program in Computational Neuroscience. Besides the position of its head announced here, BCOS consists of a scientific officer, a press and public relations officer and a project assistant. BCOS is part of the Institute of Neuroscience and Medicine, Computational and Systems Neuroscience (INM-6) of the Jülich Research Centre, one of the largest research centers in Europe.

We are looking to recruit a Head of the Bernstein Network Coordination Site (BCOS)

Your Job:
- fostering the communication and scientific cooperation between the Network partners and international contacts
- responsibility for the budget planning
- support in the strategic planning and future perspective for the Bernstein Network and lobbying
- organizational support for the yearly Bernstein Conference, planning and organization of further events and workshop
- further development of the communication with the public and politics
- intensifying industry contacts
- contact to funding agencies
- support of young researchers and training
- reporting and summaries

Your Profile:
- applicants should have a PhD or equivalent (preferentially in the neurosciences)
- own research experience
- a good overview over the fields of Computational Neuroscience and Neurotechnology
- experience in third-party funded projects and science management
- excellent command of the German and English languages
- experience in the public communication of science
- an integrative personality with pronounced social skills and a high degree of self-initiative
- the position entails travelling within Germany as well as occasional international travelling

Our Offer:
- limited for 2 years with possible longer-term prospects
- salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD). Depending on the applicant‘s qualifications and the precise nature of the tasks, salary grade 15 TVöD-Bund.

Place of employment is Freiburg.

Forschungszentrum Jülich aims to employ more women in this area and therefore particularly welcomes applications from women. We also welcome applications from disabled persons.

We look forward to receive your application, preferably via our online recruitment system until August 19, 2016. You can find this job offer including online application form under www.fz-juelich.de/karriere.

• Postdoctoral Fellow/Associate in sensorimotor neuroscience at Western University in London, Ontario (Canada). Received: 21/07/2016, deadline: 15/09/2016.

Dr. Andrew Pruszynski (​www.pruszynskilab.com​) and Dr. Jörn Diedrichsen (​www.diedrichsenlab.org​) are looking to hire a postdoctoral fellow/associate in sensorimotor neuroscience.

The incumbent will help develop and lead a project involving a mix of non­-human primate neurophysiology and computational neuroscience, including (1) large­-scale neural recordings in sensorimotor cortex during complex reaching and grasping actions and (2) biologically­-realistic neural networks (done in collaboration with Dr. Timothy Lillicrap, Google Deepmind). The incumbent must have a PhD in Neuroscience (or related area) and a strong track record with single­-cell electrophysiology in primates as witnessed by excellent peer­-reviewed publications; a strong computational background, particularly experience with machine learning, is also desired.

Our labs are located at the Brain and Mind Institute (w​ ww.uwo.ca/bmi​) and the Robarts Research Institute (​www.robarts.ca)​ , both at Western University in London, Canada. Systems and cognitive neuroscience is a key area of research strength at Western University, with more than 30 Principal Investigators and 200 trainees. Further details about working as a postdoctoral fellow/associate at Western University and about living in London, Canada can be found here: www.grad.uwo.ca/postdoctoral_scholars/prospective/index.html​.

Annual salary depends on level of experience but will be no less than $45,000 per year. Funding is available for up to 5 years. Start date is negotiable but ideally would be no later than January 2017. Reimbursement for moving expenses will be available.

Applications marked with reference number AP­-CIHR­-PDF­-2016 should be submitted electronically as a single PDF file to --LOGIN--39a0ff3aee3bd5d06e65500ff35c1ae7uwo[dot]ca . The application deadline is September 15th, 2016. Please include all the following components:

1.​ ​A personal statement describing research interests, experience, and goals (<2 pages)
2.​ ​A complete curriculum vitae
3.​ ​Names and contact information of three references

• Postdoc Position in Deep Learning for Vision at the Rochester Institute of Technology (USA). Received: 21/07/2016.

One postdoctoral position is available in the laboratory of Christopher Kanan at the Rochester Institute of Technology (RIT), in Rochester, NY. The lab specializes in applying machine learning algorithms to solve problems in computer vision and related fields. The candidate will be responsible for developing new algorithms for the detecting manipulated and tampered images. They will also work on adversarial networks for image generation and related techniques.

Requirements:
Ph.D. in computer science or related field;
A research record in computer vision and/or machine learning;
Familiarity with deep learning

The position is initially for one year, but is renewable upon strong performance for an additional year. The salary is significantly above the typical postdoctoral market rate. Applications should be sent by email to (--LOGIN--7a8ec88bee115b7a32d178a0aff48cd1rit[dot]edu ) and should include a CV, the expected data of availability, and contact information for two references. The starting date is September 2016.

About the lab: http://klab.cis.rit.edu/

About Rochester, NY
Rochester is the third largest city in the U.S. state of New York. The quality of life in the area is excellent. It has a low cost of living and some of the best K-12 public schools in the US.

• Postdoctoral Fellow in Statistics and Machine Learning for Astrophysics at Monash University (Australia). Received: 20/07/2016, deadline: 31/07/2016.

We seek to fill a 2.5 year post-doctoral fellowship dedicated to extensions and applications of the Minimum Message Length (MML) technique to the analysis of spectroscopic data from recent large astronomical surveys, such as GALAH (GALactic Archaeology with HERMES). The position is based jointly within the Monash Centre for Astrophysics (MoCA, in the School of Physics and Astronomy) and the Faculty of Information Technology (FIT).

The successful applicant will develop and extend the MML method as needed, applying it to spectroscopic data from the GALAH project, with an aim to understanding nucleosynthesis in stars as well as the formation and evolution of our Galaxy (“galactic archaeology”).

A popular paper relating MML to Solomonoff-Kolmogorov complexity and algorithmic information theory (AIT) is Wallace and Dowe (1999a), "Minimum Message Length and Kolmogorov Complexity", Computer J, special issue on Kolmogorov complexity.
Further reading on MML in the 2011 Elsevier Handbook of the Philosophy of Science (Vol. 7, Philosophy of Statistics) [including, e.g., dealing with a Neyman-Scott-like problem for panel data] is in Dowe (2011a), a nice accessible introduction is here, and further reading on MML (hybrid) mixture modelling is in Wallace and Dowe (2000) or sec. 6.8 of Wallace (2005) (with a spatial correlation model here).

The position is based at the Clayton campus (in suburban Melbourne, Australia) of Monash University, which hosts approximately 56,000 equivalent full-time students spread across its Australian and off-shore campuses, and approximately 3500 academic staff. Monash is committed to growing its already established excellence in astrophysics as well as machine learning and statistical inference. MML research at Monash University dates back to the original seminal Wallace and Boulton (1968), “An information measure for classification”, Computer J. The successful applicant will work with world experts in both the Bayesian information-theoretic MML method as well as nuclear astrophysics. The immediate supervisors will be Professor John Lattanzio (MoCA), Associate Professor David Dowe (FIT) and Dr Aldeida Aleti (FIT).

Monash University is based in Melbourne, named the world's most livable city in each of the last 5 years. Melbourne is a highly multi-cultural cosmopolitan city providing extensive cultural and lifestyle opportunities, is situated on the coast with excellent beaches readily accessible, many fine restaurants, etc.

Salary will be in the range AUD86,209 to AUD92,541, which includes a 9.5% contribution to superannuation from the University.
Further information at http://www.jobs-monash.jxt.net.au/benefits.

Applications due by 31 July 2016

Further Information:

Position Description:
http://www.jobs-monash.jxt.net.au/academic-jobs/research-fellow-in-statistics-and-astrophysics/706686

Monash University:
http://www.monash.edu

Monash Centre for Astrophysics:
http://moca.monash.edu/

School of Physics and Astronomy:
http://www.monash.edu/science/schools/physics

Faculty of Information Technology:
http://www.infotech.monash.edu.au/

Minimum Message Length:
http://www.csse.monash.edu.au/~dld/CSWallacePublications/#Wallace2005

City of Melbourne:
http://www.melbourne.vic.gov.au/Pages/Home.aspx
http://www.thatsmelbourne.com.au

• Postdoc position in medical informatics at the University of Washington (USA). Received: 20/07/2016, deadline: 15/08/2016.

The Biomedical and Health Informatics (BHI) program at the University of Washington offers a modest number of postdoctoral training fellowships, funded by the National Library of Medicine (NLM). These fellowships typically begin in the fall of each year, and are usually of two-year duration. Note that eligibility for these fellowships is limited to US citizens and permanent residents.

These fellowships are available to individuals from a variety of backgrounds who are interested in working with our faculty on their ongoing research projects including machine learning, data mining, big data, database, and information retrieval. Funded NLM postdocs who are not also seeking a BHI degree have a small set of coursework requirement.

Prospective applicants for a postdoctoral fellowship should contact the program office in advance of the deadline to indicate their interest. For additional information and to apply for a postdoctoral fellowship, please visit:
http://www.bhi.washington.edu/postdocprog
Application deadline: August 15, 2016

• Two PhD Scholarships in complex networks & info theory at The University of Sydney (Australia). Received: 19/07/2016, closing date: 14/08/2016.

Two PhD scholarships are available to study with Dr. Joseph Lizier in an Australian Research Council DECRA funded project (“Relating function of complex networks to structure using information theory”), within the Complex Systems Research Group in the Faculty of Engineering and IT at The University of Sydney.
Both projects involve studying the relationship between complex network structure and dynamics, in terms of information processing. The approach will primarily use information theory (e.g. transfer entropy), with applications to neural data sets:

1. “Inferring information network structure from dynamics”
http://bit.ly/1SZdnim

2. “Describing network and information processing co-development”
http://bit.ly/24mp8Vq

For any questions, please contact Dr. Lizier (--LOGIN--b60d96da5f8026f068ec7ef4b960cbdfsydney[dot]edu[dot]au ). The closing date for applications is August 14, with the successful candidate to start by Feb 2017 or earlier.

• PostDoc position at the University of Santiago de Compostela (Spain). Received: 19/07/2016, closing date: 31/08/2016.

The Research Centre in Information technologies of the University of Santiago de Compostela (CiTIUS) is seeking for a two-years post-doc researcher. Sucessful candidates will develop their own research project within the frame of the projects currently developed in the scientific areas of the Centre. In particular, candidates with a “Computational Intelligence” or “Intelligent Systems” profile are welcome.

Duration: Two years.
Gross salary of about (30,000€ per year).
Beginning: October/December 2016.
Closing date for applications: 31.08.16 at 23h59 CET (UCT + 02:00)

Full details and application procedure:
https://citius.usc.es/n/1264
https://citius.usc.es/sites/default/files/aloxamento/campus-vida_postdoctoral_2016_call__0.pdf

• PhD position in Computational Neuroscience at University of Sao Paulo at Ribeirao Preto Brazil available (Brazil). Received: 19/07/2016, closing date: 28/08/2016.

PhD position in Computational Neuroscience with a background in theoretical physics, specifically in stochastic processes and computer modeling, to work on models of heterogeneous recurrent networks of spiking neurons.

The selected candidate will apply to a FAPESP 4-year PhD scholarship. If awarded, the student will be part of the DFG (Germany)-FAPESP (Brazil) jointly funded project (IRTG 1740/TRP 2015/501220-0) on Dynamical Phenomena in Complex Networks and will stay up to one year in the lab of our collaborator in Germany, Prof. Benjamin Lindner (Bernstein Center for Computational Neuroscience and Humboldt University, Berlin).

Please send your application until August 28, 2016 (CV plus letter stating the reasons for your wish to do research in the above field) to --LOGIN--b6424b69629bdafcfbe31f3642ea36ebffclrp[dot]usp[dot]br .

• Postdoctoral position on empirical testing of integrated information theory at Monash University (Australia). Received: 17/07/2016.

A postdoctoral position is available to work on a JST (Japan Science and Technology) funded CREST research project on “Towards constructing artificial consciousness based on the integrated information theory (IIT)” (PIs: Kanai, Kawanabe and Maekawa, Co-PIs: Tsuchiya and Oizumi), which started in Oct 2015 and will run for 5.5 years till Mar 2021. The initial appointment will be for one year, with renewal based upon satisfactory performance and evaluation. Salary will be commensurate with experience.

We are looking for a postdoctoral fellow whose main research interest is the neuronal basis of consciousness, the analysis of multi-channel neural data and the integrated information theory (IIT) of consciousness, in order to empirically test predictions from IIT in real neural systems

For those who are interested, please check out the following key papers for the project.

1. Measuring integrated information from the decoding perspective
http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004654
2. A unified framework for information integration based on information geometry
http://arxiv.org/abs/1510.04455
3. Contents of Consciousness Investigated as Integrated Information in Direct Human Brain Recordings
http://biorxiv.org/content/early/2016/02/15/039032

You will be employed at Araya Brain Imaging (CEO: Kanai) in Japan, but the actual location of work will be conducted at A/Prof NaotsuguTsuchiya's lab in Monash University, Australia. There will be some travels between Japan and Australia at least twice a year to maximise interactions within the team in Japan.

Required skills: excellent programming, familiarity in key mathematical concepts especially machine learning and information theory. Excellence in written and oral English communication skills, as supported by objective publication recorded, will be essential.

Monash University, one of the eight top universities in Australia (G8), is forming a strong cluster of consciousness researchers, called Monash Neuroscience of Consciousness (MoNoC http://ochinpun.wix.com/monoc#!who_we_are/c139r) ranging from philosophers, neurophysiologists, and psychologists. We are located in the building with excellent cognitive neuroscience tools available (simultaneous EEG & fMRI experiments and EEG/TMS & fMRI experiments at Monash Brain Imaging facility, which hosts a research-only MRI scanner, EEG, TMS and eye tracking. http://mbi.monash.edu.au/)

Interested candidates are encouraged to send a CV, statement of research accomplishments and interests, PDF copies of representative publications, and contact information for 2 reference letters to: --LOGIN--d8118bf97eb57fabba5aaa8d2203856fmonash[dot]edu

Application review will begin immediately and continue until the positions are filled.

• Research Assistant Professor Position in Scientific Computing and High-Performance Computing at Wayne State University (USA). Received: 17/07/2016.

Position Description:
Wayne State University invites applications for a non-tenure track Research Assistant Professor in the Department of Computer Science as part of the NSF funded JETSCAPE collaboration. The Jet Energy-loss Tomography with a Statistically and Computationally Advanced Program Envelope (JETSCAPE) collaboration is an NSF funded multi-institutional project to study droplets of matter at extreme temperatures of more than a trillion degrees using jets of particles emanating from these droplets. Matter at these temperatures last existed microseconds after the big bang, and is now routinely created at Brookhaven National Laboratory in New York and at CERN in Switzerland. The collaboration involves teams of theoretical physicists, experimental physicists, statisticians, and computer scientists from Duke, MIT, McGill, Ohio-State, Lawrence Berkeley National Lab., Lawrence Livermore National Lab., Texas A&M, and Wayne State.

The position requires a Ph. D. in computer science, engineering, computational physics or related discipline with a demonstrated expertise in high-performance computing. Prior experience programming on GPU architectures would be highly desirable. The term of the position will be one year, renewable annually for up to three years, beginning in August 2016.

Application Instructions:
Applicants should submit a cover letter, CV, and contact information for three references. Applications must be submitted online at http://jobs.wayne.edu (position number 042076). Questions should be directed to Loren Schwiebert at --LOGIN--9b9403816a2cf31cdbad4981a9790dd8wayne[dot]edu or to Abhijit Majumder at --LOGIN--7b005701b00534adb1f4ebba177be5efwayne[dot]edu .

• Postdoctoral researcher position on mobile authentication at the University of La Rochelle (France). Received: 15/07/2016, closing date: 19/07/2016.

Robust face verification under spoofing attacks on mobile platforms

The L3i lab of the University of La Rochelle (France) is looking for a talented young researcher to join a team working on mobile authentication using identity documents capture and video interaction. You will work closely with approx. 8 persons (professors, associate professors, software engineers, postdoctoral researchers and PhD students) in 2 labs and 2 companies to design, prototype, evaluate and disseminate a new solution for the robust distant authentication of individuals using identity document scans and an interactive video session.

Context
As part of the MOBIDEM project (“Mobile Identity for the Masses”), which aims at lowering the barrier for the acquisition of digital certificates for mobile-signature, the L3i is in charge of conceiving and developing a simple yet secure remote enrollment process. The enrollment is the preliminary stage of the mobile-signature process when individuals authenticate themselves and receive on their mobile devices digital credentials linked to their real identity, that will be later used to sign digital documents. This project involves 3 industrials and 2 academic labs, and aims at disrupting the digital trust market. The MOBIDEM project is funded by the French government.

Working environment
The L3i lab (“Image Interaction Informatics”) is the ICT research component of the University of La Rochelle, France. Located on the seaside in one of the most touristic cities in France, the L3i lab has grown a solid experience in collaborative research projects with many academics labs and industrial partners. The L3i lab has a huge team of researchers (postdocs, software engineers, professors), with solid experience on R&D projects in the domain of computer vision. The L3i lab owns several state-of- the-art document scanners and sophisticated equipment for conducting high quality research. Composed of a hundred staff members, we value scientific excellence, initiative, and cooperation.

Practical information
• Duration: 2 years (1 year + 1 year contracts)
• Salary and benefits: €2000 - €2100 per month after tax, regular French health care, 25+ days annual leave
• Starting date: from Oct. but not later than Dec. 2016
• Position open until : see website hereafter

Expected qualifications and skills
• PhD in Computer Science, Mathematics, or other relevant field with a sound publication record
• Experience in face identification / verification / analysis
• Proficiency in C/C++/Matlab/OpenCV and/or Scientific Python
• Strong mathematical knowledge
• Experience in machine learning and computer vision in general
• Experience with one or more deep learning framework would be greatly appreciated
• Experience in collaborative academic / industrial projects is a plus
• Very good communication skills in English, both spoken and written
• Speaking French is a plus
• Experience in video processing is a plus
• Willingness to prototype with mobile devices
• Highly motivated and enthusiast
• Autonomous and problem-solver
• Team-player

For more information about the position, please contact:
--LOGIN--6f06adbca3b733ff6d1cc2a0a6016a69univ-lr[dot]fr
and --LOGIN--1ed269bde0b5af41d83ccb08a7e1edd3univ-lr[dot]fr
and --LOGIN--c72e05ed74f4e7e41eb76a69a4d787f0univ-lr[dot]fr

Application
To apply, please:

1. Review the current state of the position at
http://l3i.univ-larochelle.fr/recrutementMOBIDEM

2. Send an application to
--LOGIN--6f06adbca3b733ff6d1cc2a0a6016a69univ-lr[dot]fr
and --LOGIN--1ed269bde0b5af41d83ccb08a7e1edd3univ-lr[dot]fr
and --LOGIN--c72e05ed74f4e7e41eb76a69a4d787f0univ-lr[dot]fr with:
• Your contact information (name, email, address with country)
• A resume with relevant experience (1 or 2 pages)
• A cover letter presenting key skills and motivations
• 2 references (letters if possible, names and contacts at least)
• [optional, if available] reviews of the PhD thesis/defense by recognized scholars
• [optional but well received] short summary of past/curren/future research projects

The application process is organized as follows:
Until July 19th - Applications opened
July 11th to July 20th - Interviews of candidates
July 20th to July 22nd - Ranking notification to candidates
Between Oct. 1st and Dec. 10th - Job start (to be determined with candidates)

• Post doc position in next generation networks at University Carlos III of Madrid (Spain). Received: 15/07/2016.

The NETCOM research group of the University Carlos III of Madrid, invites applications for one Post-Doc Researcher position. The successful applicant should have a Ph.D. degree in Computer Engineering, Computer Science, Telecommunication Networks, or a very closely related field. It is anticipated that the position will be filled as soon as the candidate has been found.

The position is associated with the 5G-Crosshaul (H2020 5GPPP phase 1) project, funded by the European Commission.

The research activities of the project are in the area of next generation networks with focus on SDN (Software Defined Network), NFV and optimization of networks.

The tasks of the selected candidate will be to:
- Become a member of the research team of the 5G-Crosshaul project.
- Research in the are of SDN and NFV applied to transport networks and Mobile Edge Computing.
- Support the team members in the preparation of the project reports.
- Carry out high-level research on the above mentioned topics.
- Participate to the research and dissemination activities of the project, including writing scientific papers to be submitted to international conferences and peer-reviewed journals.

QUALIFICATIONS:
The position is open for PhD holders.

REQUIRED SKILLS:
- Outstanding use of English at both conversational and writing levels.
- Effective verbal and written communication skills, and ability to work in an international team.
- Good publication record and h-index (compared to experience).
- Experience in leading and/or participating in the preparation of scientific publications.
- Ability to work autonomously and be an excellent team player.
- Prior research experience in academia or industry.
- Knowledge of networking fundamentals and Internet protocols.
- Very good programming skills in C/C++, and with Linux/Unix platforms.
- Knowledge of use and customization of SDN and NFV platforms.
- Knowledge of optimization theory and its application to networks.

Valuable skills:
- PhD obtained in an European University

APPLICATIONS MUST INCLUDE:
- Full CV, including a list of publications and name (email address, etc) of three referees.
- Transcript of all modules and results from university-level courses taken.
- Cover letter stating the motivation and suitability of the candidate.

The application will be closed as soon as we find a suitable candidate.

For further information, please contact --LOGIN--32da89bb77d7c82c4a0ea20371c07979it[dot]uc3m[dot]es .

• 4 PhD / PostDoc positions in Learning Systems at Ulm University (Germany). Received: 13/07/2016.

4 PhD / PostDoc positions in the field of Learning Systems

from October 2016 in the newly established research group on “Learning Systems”. The group is interested in the mathematical foundations of intelligent behavior in cognitive systems, including both biological and artificial systems, in particular the information-processing principles underlying learning and decision-making. This requires a combined theoretical and experimental approach. In our theoretical line of work we use methods from machine learning, statistics, physics, information theory and decision theory to investigate the effects of limited resources on learning and decision-making (“bounded rationality”). In our experimental line of work we investigate sensorimotor behavior in humans by using virtual reality technology and robotic interfaces to study learning and decision-making quantitatively under controlled conditions. This interdisciplinary approach unites aspects from both basic and applied research. On a basic level we aim at a quantitative understanding of embodied intelligence, in particular the emergence of cognition from sensorimotor interactions by processes of abstraction and structure learning. On an applied level we are interested in both autonomous robotic systems and human-machine-interactions, as sensorimotor learning and decision-making in artificial systems constitute a cutting-edge technical challenge. The research group is supported by the ERC-project BRISC (Bounded Rationality in Sensorimotor Coordination)

https://erc.europa.eu/projects-and-results/erc-funded-projects/BRISC

funded by the excellence programme of the European Research Council, in which we aim at a novel information-theoretic understanding of sensorimotor interactions in psychological and technical systems. Previous publications of the group can be found under http://www.kyb.tuebingen.mpg.de/research/rg/braun.html

Ulm University with its more than 10,000 students is Baden-Württemberg’s youngest university. It offers attractive career prospects in a highly innovative research, teaching and work environment at the same time facilitating the reconciliation of work and family life. Embedded within the novel international “Cognitive Systems”-Master’s course, the research group “Learning Systems” is part of the university’s priority programme on human-machine-interaction. Beyond the university, there are plenty of opportunities to cooperate within the SFB Transregio 62 and with international partners in Great Britain and the United States.

The applicants should have a strong mathematical background, hold a Diploma or Master’s degree in natural science, mathematics, economics, psychology, computer science, engineering or similar and have a keen interest in artificial and natural intelligence.

The positions are paid according to German tariff TV-L E13. Exceptional candidates with a Bachelor’s degree can also be considered, albeit with an individual pay scale regulation.

The University of Ulm is an equal opportunity employer: Handicapped individuals are strongly encouraged to apply, and so are women in areas in which they are underrepresented.

The positions will be filled as soon as possible. Candidates should send a CV, a brief statement of interest and a copy of their highest degree to Prof. Dr. Dr. Daniel Alexander Braun --LOGIN--ea1b6a100a78864f3c26d35a033abb66uni-ulm[dot]de .

• Posdoc/ PhD position in neural representation of social intention at University of Tuebingen (Germany). Received: 13/07/2016.

The Section for Computational Sensomotorics at the Center for Integrative Neurosciences (CIN) and the Hertie Institute for Clinical Brain Research (HIH) at the University of Tuebingen invites applications for a Postdoc or a PhD student with a good mathematical background for a maximum duration of 3 years.

The position is funded by a grant of the Human Frontiers Science Foundation (HFSP) in collaboration with the California Institute of Technology (CALTECH) and Ohio State University (OSU). The project will focus on the development of neural and deep/machine learning-based theories for the processing of social signals and social intention, and their verification by psychophysical, and (in collaboration) also electrophysio-logical and fMRI experiments.

- What we offer:

* top scientific environment (HIH in the top 3 European institutions for clinical brain research); the CIN is Excellence Cluster of the German Excellence Initiative; multiple leading Max Planck Institutes for related topics in Tuebingen; total > 600 researchers on the Tuebingen Neuroscience Campus working on many different aspects of neuroscience)

* close collaborations with leading international partners in neuro- and computer science

* possibility of teaching and taking courses at the Graduate Training Center for Neuroscience (> 40 courses in molecular, behavioral neuroscience, and neural information processing)

- What we are looking for:

* person with Masters (PhD) degree in Computational Neuroscience or related discipline (Computer Science, Engineering, Physics, Mathematics, Cognitive Science, Mathematical Psychology, etc.)

* highly-motivated individual with enthusiasm for research; motivation and capability of self-driven pursuit of difficult problems

* strong mathematical background and programming skills (at least in C or Java); willingness to learn relevant techniques and software products (e.g. for computer animation, deep learning, or the simulation of spiking networks)

* interest in social neuroscience, computational vision, and neural circuits at the level of single cells

* English speaking and writing skills.

People without ambition in science. who primarily look for a temporary job at a German university. are discouraged from applying. Committed to Equal Opportunities.

Interested people should send their application, including a CV, all marks form studies, 2 letters of reference, and a research statement of about one half page (explaining how their skills might support a project about the understanding neural basis of the processing of social signals and intention) to:

Prof. Dr. Martin Giese
Section for Theoretical Sensomotorics
Dept. for Cognitive Neurology
Hertie Institute for Clinical Brain Research &
Center for Integrative Neuroscience
University of Tuebingen
Otfried-Müller Str. 25
D-72076 Tuebingen
GERMANY
Tel.: +49 7071 2989124
Fax: +49 7071 294790
Email: --LOGIN--64f47ea1ae212046197cdb62f7959379uni-tuebingen[dot]de
Web: http://www.compsens.uni-tuebingen.de/

• Postdoctoral and predoctoral positions in computational and experimental neuroscience at University College London (UK). Received: 13/07/2016, closing date: 11/08/2016.

Three open positions at the interface of computational and experimental neuroscience, working with Profs. Kenneth Harris and Matteo Carandini. Two are postdoctoral jobs, and one is for a software developer (no PhD required).

The closing date for all positions is August 11 2016. For more details on the lab, please see https://www.ucl.ac.uk/cortexlab.

- Position 1. Postdoc: computational analysis of neural circuits

Modern experimental methods allow for simultaneous recording of thousands of neurons. These methods provide an unprecedented opportunity to study how neuronal populations process information. However, turning this data into concrete conclusions about brain function raises a twofold challenge. First, statistical methods required to characterize, visualize, and test hypotheses about neural data must be developed; second, the data sets involved are so large that they require advanced computational techniques for their efficient processing. We are seeking a postdoctoral scientist to study population coding and circuit function in cortex, by working with data from large-scale electrophysiological and optical recordings. This position would suit an individual with strong quantitative skills together with good knowledge of neurobiology. Applicants should have a PhD or equivalent in neuroscience, computer science, mathematics, physics, engineering, or a similar field.

To apply, go to http://www.ucl.ac.uk/hr/jobs, click “Current employment opportunities at UCL” and enter Ref No 1563741.

- Position 2. Research assistant: software development

It is now possible to record the activity of thousands of cells simultaneously from the living brain, but using this information to understand how the brain processes information presents tremendous challenges of “big data” processing. The data sets collected are large, complex, and multimodal, consisting of petabytes, and spanning multiple formats arising from different experimental techniques. The successful applicant will join a team developing software systems for organization and analysis of large datasets recorded in our neurophysiology lab. Once established, these systems will be shared with the worldwide neuroscience community. The applicant should have an Honors degree in computer science, engineering, mathematics, physics, neuroscience or related discipline. Outstanding programming ability in Python, MATLAB or C++ is essential, as is knowledge of version control systems (eg git). Knowledge of image processing theory, signal processing theory, or machine learning is desirable, as is knowledge of web programming (JS, and REST APIs) and relational databases.

To apply, go to http://www.ucl.ac.uk/hr/jobs, click “Current employment opportunities at UCL” and enter Ref No 1563752.

- Position 3. Postdoc: experimental neurophysiology

Developments in electrophysiology, microscopy, and genetics now make it possible to measure the activity of thousands of neurons simultaneously, while identifying and controlling specific cell classes in real time. Combining these experimental technologies with large-scale informatics and computational analysis provides a tremendous tool to understand the function of neuronal circuits. We are seeking a postdoctoral scientist to apply these tools to study network activity during a visual discrimination task in behaving subjects. This project involves integrating multiple techniques currently in use in our lab including large-scale electrophysiological recordings, optogenetics, two-photon microscopy, wide-field imaging, in situ sequencing, and behavioral paradigms such as 2AFC and virtual reality. This position would suit a candidate with a PhD in experimental neurobiology, engineering, or experimental physics.

- To apply, go to http://www.ucl.ac.uk/hr/jobs, click “Current employment opportunities at UCL” and enter Ref No 1563759.

• 3 Post-Doc + 2 PhDs in visual perception, neuroscience, machine learning and computer graphics at Giessen University (Germany). Received: 12/07/2016, deadline: 25/07/2016.

THREE POST-DOCTORAL positions and TWO PhD positions are available in Roland Fleming’s lab at Giessen University, in the context of an ERC-funded project on the perception of shape, material properties and generative processes.

The aim is to bring together an interdisciplinary team spanning visual perception, neuroscience, machine learning and computer graphics. Accordingly, candidates should have experience in at least one of these areas. Preference will be given to candidates with evidence of strong quantitative or computational skills (e.g. deep learning, physical simulation, morphogenesis, procedural geometry). For the postdoctoral positions, a doctoral degree in psychology, neuroscience, computer science, physics or related discipline is a prerequisite.

The candidate will have the opportunity to interact closely with the existing team, as well as other colleagues in closely related areas, including Karl Gegenfurtner, Katja Doerschner and Huseyin Boyaci.

The lab offers excellent facilities for studying visual perception and motor control. We are part of several larger research consortia on perception and action (e.g., http://www.sfb-perception.de, http://prism-network.eu) with excellent links to scientists within Europe and world wide. The group offers a stimulating, multi-national and multi-disciplinary research environment for young scientists (http://www.allpsych.uni-giessen.de). We routinely have visiting faculty from other leading universities taking sabbaticals or other extended stays in the group. A 3T Siemens scanner is also in the same building.

The city of Giessen is a small university town with a vibrant young population, located just 60 km north of Frankfurt. It is in an excellent location for getting to know the rest of Europe.

The start date is subject to final confirmation from the European Commission, but is anticipated to be August 2016. Later starting dates can easily be accommodated.

For the post-doc positions, salaries are according to German research scale TVH-13. These positions are for 18 months initially, with the possibility of renewal. For the PhD positions, salaries are according to the standard 65% positions from the same pay-scale. Funding is available for 3 year studentships.

Please send applications by 25th July 2016 per email as a single PDF file. Applications will be considered until the position is filled.

Please do not hesitate to contact --LOGIN--96bf5851d9674a61735dc028e5df4b1cpsychol[dot]uni-giessen[dot]de for informal inquiries.

• Ph.D. positions in computational neuroscience at Ernst Struengmann Institute (Germany). Received: 11/07/2016.

The laboratory of Dr. Martin Vinck at the Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society is seeking candidates for Ph.D. positions.

Students will work on two classes of problems. First, we aim to solve various methodological / neurostatistical problems for offline and on-line, closed-loop analysis of multivariate neuroscience datasets. Second, we are developing models of visual cortex in order to test specific hypotheses about the relationship between cortical dynamics and computation. PhD students will work together with experimental neuroscientists and apply methods and models to experimental datasets from primate and rodent animal models, including electrophysiological and calcium imaging data. For this position, we are primarily looking for students with training in a quantitative discipline (physics, engineering, computer science etc.). We also have openings for PhD and postdoc positions focusing primarily on experimental work.

Interested candidates are invited to send their application materials in electronic form (PDF format) to --LOGIN--90d7733cf855509e3ff5f79379cc9781esi-frankfurt[dot]de

Applications should contain a letter of intent, a detailed curriculum vitae, lists of university courses completed with marks obtained, and the names of at least two scientists who can give references. The advertisement will be valid until positions are filled.

• Fully funded PhD position on deep learning for musical structure analysis and generation at INRIA (France). Received: 11/07/2016, deadline: 22/07/2016.

We are offering a fully funded PhD position on deep learning for musical structure analysis and generation. Please note the tight application deadline (July 22). We will review applications on a continuous basis until then.

TITLE: Deep learning for musical structure analysis and generation
LAB: Inria Rennes & Inria Nancy, France
SUPERVISORS: Frédéric Bimbot & Emmanuel Vincent
STARTING DATE: October 2016 or later (until January 2017)
TO APPLY: send a CV, a motivation letter, a list of publications, and one or more recommendation letters to --LOGIN--d24a2b1344ea2cc850d512b36d4af097inria[dot]fr as soon as possible and no later than July 22, 2016

ABOUT INRIA:
Inria is the biggest European public research institute dedicated to computer science. The PANAMA team (https://team.inria.fr/panama/) and the MULTISPEECH team (https://team.inria.fr/multispeech/) each gather 20+ scientists with a focus on machine learning and signal processing for music, speech, and general audio.

RESEARCH TOPIC:
Despite numerous studies on automatic music transcription and composition, the temporal structure of music pieces at various time scales remains difficult to model. Automatic music improvisation systems such as OMax and ImproteK assume that the structure is either predetermined (chord chart) or completely free, which limits their use to specific musical styles. The concepts of semiotic structure and Contrast & System we recently introduced helped defining musical structure in a more general way. Yet, they do not easily translate into a computational model due to the large temporal horizon required and to the semantic gap with the observed musical signal or score. In the last few years, deep learning has emerged as the new state of the art in the field of natural language processing (NLP) and it has already demonstrated its potential for modeling short-term musical structure.

The goal of this PhD is to exploit and adapt deep recurrent neural networks (RNNs) for modeling medium- and long-term musical structure. This involves the following tasks in particular:
- designing new RNN architectures for jointly modeling music at several time scales: tatum, beat, bar, structural block (e.g., chorus or verse), whole piece,
- training them on smaller amounts of data than in the field of NLP,
- evaluating their performance for musical structure estimation and automatic music improvisation.

This position is part of a funded project with Ircam, in which the successful candidate will have the opportunity to engage.

PROFILE:
MSc in computer science, machine learning, or a related field. Programming experience in Python or C/C++.
Previous experience with music and deep learning is not required but would be an asset.

• PhD/postdoc positions at Ernst Struengmann Institute for Neuroscience (Germany). Received: 09/07/2016.

Our laboratory at the Ernst Struengmann Institute for Neuroscience in Cooperation with Max Planck Society is seeking candidates for Postdoc and Ph.D. positions.

Projects involve the application of parallel, large-scale electrophysiological recording techniques of single units and EEG in combination with closed-loop optogenetic manipulation methods to investigate mechanisms of information encoding and transmission in mice brains. We are particularly interested in the way in which the brain efficiently encodes information, and the way in which sensory predictions established in higher areas influence sensory representations in earlier sensory areas. We are furthermore interested in investigating the role of GABAergic interneurons in selective attention and neuronal oscillations. We address these questions using laminar recordings in combination with optogenetics in mice, as well as through the development of novel tools for the quantitative analysis of large-scale electrophysiological data. Within the ESI, tight collaborations exist with the lab of Prof. Dr. Pascal Fries.

Because we are searching for members that can strengthen an interdisciplinary team, we are encouraging students/researchers with a background either in biological/medical sciences or in physics/engineering/mathematics/etc. to apply. The ideal PhD or postdoc candidate has previous experience and strengths either in 1) performing hands-on experimental work and electrophysiological recordings or 2) hardware engineering and quantitative analysis of large-scale data. We are searching for applicants with good communication skills and a high commitment and curiosity about neuroscientific questions.

Interested candidates are invited to send their application materials in electronic form (PDF format) to --LOGIN--90d7733cf855509e3ff5f79379cc9781esi-frankfurt[dot]de

Applications should contain a letter of intent, a detailed curriculum vitae, lists of university courses completed with marks obtained (only for PhD candidates), and the names of at least two scientists who can give references. The advertisement will be valid until positions are filled.

• Open PhD position in wireless networking for Internet of Things applications at University of Antwerp (Belgium). Received: 08/07/2016, closing date: 15/08/2016.

Open PhD position at the MOSAIC research group (https://mosaic.uantwerpen.be), connected to the University of Antwerp and iMinds, Belgium. The position is in the area of wireless networking for Internet of Things applications. Applications should be submitted through the online system (https://www.uantwerpen.be/en/jobs/vacancies/ap/2016bapdocproex186/) no later than August 15, 2016.

- Job description

* You prepare a doctoral thesis in the field of low-power wireless networks, specifically focusing on interference mitigation among different types of networks coexisting in sub-1GHz radio frequencies.

* You publish scientific articles related to the research project of the assignment.

* You contribute to teaching and research in the MOSAIC research group of the Department of Mathematics and Computer Science of the Faculty of Sciences.

- Profile and requirements

* You hold a master or engineering degree in computer science, informatics, mathematics, electronics, telecommunications or equivalent.

* You can submit outstanding academic results.

* Students in the final year of their degree can also apply.

* Foreign candidates are encouraged to apply.

* Your academic qualities comply with the requirements stipulated in the university's policy.

* You are quality-oriented, conscientious, creative and cooperative.

* Prior experience in the design or deployment of wireless network technologies is a plus, but not a necessary requirement.

- We offer

* a doctoral scholarship for a period of two years, with the possibility of renewal for a further two-year period after positive evaluation;

* the start date of scholarship will be 1 October, 1 November or 1 December 2016 or 1 January 2017;

* a gross monthly grant ranging from € 2.189,88 - € 2.334,46;

* a dynamic and stimulating work environment.

- How to apply?

* Applications may only be submitted online (https://www.uantwerpen.be/en/jobs/vacancies/ap/2016bapdocproex186/), and should include a copy of your CV and a cover letter, until the closing date 15 August 2016.

* A pre-selection will be made from amongst the submitted applications.

* The remainder of the selection procedure is specific to the position and will be determined by the selection panel.

* The interviews of the candidates, preselected by a selection panel, will take place from 22 August until 16 September 2016.

* More information about the application form can be obtained from Myra De Munck (Tel. +32 3 265 32 24).

* For questions about the profile and the description of duties, please contact prof. dr. Jeroen Famaey at --LOGIN--89c2e68fb77f4d96203d074c3b2fcc84uantwerpen[dot]be .

• PhD position in Machine Learning/Computer Vision at University of Zaragoza (Spain). Received: 07/07/2016.

The Robotics, Perception and Real Time (RoPeRT) group at University of Zaragoza has open positions for PhD contracts (4 years) within the project: “Egocentrinc Computer Vision for Environmental Interaction of Visually Impaired People.”

Research will focus on development of machine learning and computer vision algorithms for wearable devices designed to assist visually impaired people.

We offer a 4 years contract within the research group. The type of contract is based on Spanish Goverment grant (FPI MINECO) corresponding to 16,500 euros per year (approximately). It also includes fees, travel grants for internships and a postdoc bonus the last year.

We are looking for a highly motivated person with a M.Sc. in Computer Science/Engineering, Electrical/Electronics/Automation Engineering, Mathematics or similar.

Applicants will be ranked based on: academic record, experience in robotics, machine learning and computer vision, good programming skills (C++, Matlab and/or Python) and good background in statistics and linear algebra. Applicants should have a working English level or higher. Spanish is recommended but not mandatory.

Send an email with your resume and academic record to J.J. Guerrero (--LOGIN--b36c3c03a6a2ad51a160c1b212ae46e9unizar[dot]es ) and Ruben Martinez-Cantin (--LOGIN--fc1da07ee32b25341ad89dbfbebba139unizar[dot]es ) with the subject “FPI EVEIVI”.

More information: http://webdiis.unizar.es/~rmcantin/index.php/Main/EveiviPhD

• Two postdoctoral fellowship positions at the University of Massachusetts Medical School (USA). Received: 06/07/2016.

Two NIH funded T32 (postdoctoral) fellowship positions are available immediately. The candidate must be either US citizen or green card holder. We are interested in information retrieval, natural language processing, machine learning, and data mining of electronic health records in the cardiovascular domain.
Interested please email --LOGIN--e7bf703230dccecdd2be58b9e49b7f6cumassmed[dot]edu

In addition, recently we have developed deep learning approaches to detect named entity in electronic health records and we found our approach (published in NAACL 2016) significantly outperformed conditional random fields.

Here is our paper:
http://m-mitchell.com/NAACL-2016/NAACL-HLT2016/pdf/N16-1056.pdf

The code is freely available at: https://github.com/abhyudaynj/birnn-bionlp

• Postdoctoral Researcher Position in Distributed Intelligence and Data Analytics for Wireless Sensor Networks and Cyber-Physical Systems at the University of Agder (Norway). Received: 02/07/2016, deadline: 19/08/2016.

We are offering 1 Postdoctoral researcher position in the areas of Distributed Intelligence and Data Analytics for Wireless Sensor Networks and Cyber-Physical Systems, advancing both theoretical aspects and algorithm designs, and considering also applications in large-scale industrial distributed monitoring and control. The position will be part of the WISENET Lab (http://wisenet.uia.no) and is for a period of 2 years, with possible contract extension, subject to performance evaluation.

The Postdoctoral researcher position will be devoted to the following topics:
a) Distributed algorithms for in-network intelligence and control.
b) Learning of space-time dependencies from multiple sensor data in complex processes.
c) Graph signal processing for data analytics, causal inference and machine learning.
d) Optimization algorithms and implementation platforms for critical tasks in data analytics.

To be regarded as an eligible applicant, the candidate must have:

• A PhD in Electrical Engineering, Computer Engineering, Computer Science (or similar). A PhD in Mathematics is also welcome as long as the area of research of the candidate intersects sufficiently with the relevant research areas for this position. To be considered for the position, applicants must have either finished already their PhD during the last five years or have a date of PhD defense that will take place during 2016. In any case, the PhD Thesis should be in a field that is relevant for this position.

• Strong knowledge and experience in most of the following areas:
- Design and implementation of distributed algorithms for distributed intelligence in Wireless Sensor Networks or Cyber-Physical Systems.
- Modeling of low-rank structured sensor data and space-time processes.
- Data analytics techniques based on advanced optimization and signal processing.
- Semantic sensor knowledge management tools and processing of data streams.
- Statistical signal processing.
- Graph signal processing.
- Programming in Matlab, C/C++, Java and Python.

Experience in Testbed implementation is also welcome.

The publication of scientific papers in high impact journals and first class international conferences related to the aforementioned topics will be considered, as well as previous participation in national and International/European projects.

We are looking for outstanding candidates that have:
- Scientific ambition.
- High motivation and strong interest in cutting-edge research.
- Good analytical and problem solving skills.
- Capacity for goal-oriented work and ability to concentrate.
- Good communication and team-working skills, inventiveness and a proactive attitude.

Interested applicants may apply directly online through the official university web site (deadline: August 19, 2016):
https://www.jobbnorge.no/en/available-jobs/job/126825/postdoctoral-research-fellow-in-ict
(for any question related to this, please contact --LOGIN--d1d448ad256f042346e89a34bbca0f69uia[dot]no )

About UiA: University of Agder (UiA) is a young recently created Norwegian university in the southeast part of Norway (excellent average temperature and good weather), with approximately 15000 students. The Department of ICT has several active research groups including 10 Professors, 25 Associate Professors, about 15 Research Fellows on the PhD Programme in ICT. The Department of ICT pursues a variety of research interests, focusing especially on several areas, namely, Wireless Communications and Embedded Systems, Data Analytics, Crisis management, e-Learning and e-Health. The department has successfully led a number of large research projects funded by the Research Council of Norway, the EU research programmes FP7 and H2020, as well as national and international industries. Salary and social security conditions in Norway are also very satisfactory.

• Ph.D. position on Learning architectures for Multimedia Representation and Understanding at University of Catania & STMicroelectronics (Italy). Received: 01/07/2016.

We are seeking for an exceptional and passionate full-time Ph.D. student to work on the project “Learning architectures for Multimedia representation and understanding”, jointly supervised by the University of Catania (Sicily, IT) and at the R&D Centers in STMicroelectronics (Catania, IT).

The aim of this Ph.D. programme is to use data coming from different domains (images, video/temporal/motion, GPS, audio signals, tags, wearable sensors, etc.) to build a powerful representation, possibly extending the current CNN to treat the different signal jointly and in a semi-supervised way (i.e., with no need of huge datasets to perform training for personalized use). The application contexts will consider emerging scenarios, such as activity monitoring and assistive technologies to improving health and wellness of human beings and quality of life in general.

The student will face innovative and intriguing theoretical and practical issues, while spending part of his time at Image Processing Laboratory of University of Catania and part at STMicroelectronics R&D.

The Image Processing Laboratory (IPLab http://iplab.dmi.unict.it) is part of the department of Mathematics and Computer Science of the University of Catania, Italy. IPLAB’s research focuses in the areas of Image Processing, Computer Vision, Machine Learning and Computer Graphics. IPLAB has been involved in different international projects for the development of advanced algorithms with applications in different domains: Embedded and wearable devices, assistive technologies, quality of life, forensics, medical, cultural heritage.

The student will have the possibility to work in a friendly and constructive environment and will have the possibility to attend at the major conferences and schools in the field to present the results of his/her research.

Equal opportunities to all applicants will be provided. Any expertise or prior knowledge in computer vision, machine learning and image processing is welcome. Prior publication at international conferences is an advantage. Ability to program in Matlab/Phython/C/C++ is desirable. Other programming languages, communication skills and team play will also be welcome.

Application procedure will be formally opened on July 2016.

Please contact Prof. Sebastiano Battiato (--LOGIN--8654ebd730146a595a30053ca9b5f2ffdmi[dot]unict[dot]it ) for further information.

• Postdoc position in Robot Learning for Dexterous Manipulation at Istituto Italiano di Tecnologia, Genoa (Italy). Received: 30/06/2016, deadline: 06/07/2016.

The Learning and Interaction Group Lab at IIT (Istituto Italiano di Tecnologia, Genoa, Italy) is looking for an outstanding, highly motivated postdoctoral researcher to work in the field of robot learning for dexterous manipulation.

Application deadline: July 6th, 2016

The position is offered within the PHOLUS project, which is aimed at designing, building and controlling a high performance, high efficiency electric platform that will combine a quadruped-legged base with a twin- armed high dexterity upper body in a configuration that is inspired by the Centaurs of mythology. This combination will amalgamate the talents and capabilities of highly dynamic quadrupedal locomotion over rough and unstructured terrain with a humanoid-inspired upper body/arms/dexterous hands covered with tactile sensors to provide a high dexterity bi-manual manipulative structure. This will allow the PHOLUS robot to navigate, observe, interact and respond effectively in highly unstructured outdoor environments and human engineered locations (e.g. disaster recovery in buildings, access complex power/process/chemical/oil installations) addressing key issues in robot robustness and reliability; autonomous operation; semi-autonomous operation; tele-operation; tactile sensing; active perception; affordances learning; agile loco-manipulation, grasping and dexterity; locomotion; whole-body interactions; whole-body motion planning and control; visualisation; and navigation, localisation and mapping.

Desired qualifications include:
- PhD degree in computer science, electrical or mechanical engineering (clearly related to machine learning and/or robotics).
- Experience in reinforcement learning, learning from demonstration, and/or optimal control.
- Experience in machine learning for robotic (uni- and bi-manual) manipulation.
- Experience in tactile sensing for robotic manipulation is desirable but not required.
- Excellent publication record.
- Creativity and proactive attitude.
- Fluency in both spoken and written English.
- Strong team player.

More details about the position and the application process can be found at https://www.iit.it/careers/openings/opening/177-Post-docpositioninRobotLearningforDexterousManipulation

For questions/info please contact:
Leonel Rozo,
Senior postdoctoral researcher
Advanced Robotics Department
Istituto Italiano di Tecnologia (IIT)
http://leonelrozo.weebly.com/

• Postdoctoral position in Computer Vision, Machine Learning and Pattern Recognition at Istituto Italiano di Tecnologia, Genova (Italy). Received: 29/06/2016, full consideration: 31/07/2016.

Postdoctoral position in Computer Vision, Machine Learning and Pattern Recognition - [ Postdoc ]
PAVIS-PD 71372

Fondazione Istituto Italiano di Tecnologia - IIT - was founded with the objective of promocting Italy’s technological development and further education in science and technology. In this sense, IIT’s scientific program is based in the combination of basic scientific research and development of technical applications, a major inspirational principle. Researchareas cover scientific topics of high innovative content, representing the most advanced frontiers of modern technology, with wide application possibilities in various fields ranging from medicine to industry, from computer science to robotics, life sciences and nanobiotechnology.

PAVIS department at Istituto Italiano di Tecnologia (IIT) (http://www.iit.it/pavis) is looking for a highly qualified researcher with a strong background in Computer Vision, Pattern Recognition and Machine Learning, with particular emphasis on recognition, video analysis, behavior understanding and prediction.

As the activities may be carried out in collaboration with other research units inside IIT, previous multidisciplinary experience is an added value which will be duly considered.

The main mission of PAVIS (Pattern Analysis and Computer Vision) 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 plays an active role in supporting the other research units inside IIT providing providing scientists in Neuroscience, Nanophysics and other IIT departments/centers with ad hoc solutions.

To this end, the group is involved in activities concerning computer vision and pattern recognition, machine learning, multimodal\multimedia data analysis and sensor fusion, and embedded computer vision systems. The lab will pursue this goal by working collaboratively and in cooperation with external private and public partners.

In particular, this call aims at consolidating PAVIS expertise in one or more of the following research areas:
• Analysis of static and dynamic scenes.
• Recognition (objects, scenes, actions, events, etc.) and reconstruction.
• Behavior Analysis & Activity Recognition (individuals, groups, crowd).
• Prediction of intentions.

From the methodological standpoint, the ideal candidate should be familiar with one or more of the following subjects: Graphical Models, Topic Models, Bayesian Nonparametrics, Deep Learning, Representation/Feature Learning, Sparse and Dictionary Learning, Clustering, Kernel methods, Manifold Learning and Statistical and Probabilistic Models in general.
Candidates to this position have a Ph.D. in computer vision, machine learning or related areas.
Research experience and qualification in computer vision and pattern recognition/machine learning are clearly a must and evidence of top quality research on the above specified areas in the form of published papers in top conferences/journals and/or patents is mandatory.
This call is opened for scientists with more seniority, having specific experience in the preparation and management of research proposals (EU, US, national), so a few years of postdoc experience, either in academia or industrial lab, should be manifest.
Evidence of such experience should be duly and clearly provided.
The winning candidate will also be asked to contribute to setting up new (funding) project proposals and will participate in funding activities.
He/she is also expected to publish his/her research results in leading international journals and conferences, supervise PhD candidates and collaborate with other scientists, also with different expertise.

The position is offered for an initial (renewable) period of 2 years. Salary will be commensurate to qualification and experience and in line with international standards.
The workplace is Genova, Italy.

Further details and informal enquires can be made by email to --LOGIN--d0728d0f6c6e978f32ad89f2744940e4iit[dot]it quoting PAVIS-PD 71372 as reference number. Completed application forms along with a curriculum listing all publications (possibly including pdf of your most representative publications), and a research statement describing your previous research experience and outlining its relevance to the above topics should be sent by email to --LOGIN--630c4f9471779b10b75172f6c93ca596iit[dot]it , quoting PAVIS-PD 71372 as reference number. Please also send 2 reference letters. This call will remain open and applications will be reviewed until the position is filled, but for full consideration please apply by July 31st, 2016.

In order to comply with Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow Istituto Italiano di Tecnologia to process his/her personal data.
We inform you that the information you provide will be solely used for the purpose of evaluating and selecting candidates in order to meet the requirements of Istituto Italiano di Tecnologia.
Your data will be processed by Istituto Italiano di Tecnologia, with its headquarters in Genoa, Via Morego 30, acting as the Data Holder, using computer and paper-based means, observing the rules on the protection of personal data, including those relating to the security of data, and they will not be communicated to thirds.
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 Holder.
Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce.

• Postdoctoral position in Pattern Recognition, Machine Learning and Computer Vision at Istituto Italiano di Tecnologia, Genova (Italy). Received: 29/06/2016, full consideration: 31/07/2016.

Postdoctoral position in Pattern Recognition, Machine Learning and Computer Vision for the analysis of neuroimaging, biomedical and biological data
BC 71883

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

The main mission of PAVIS is to design and develop innovative image- and video-based intelligent systems, characterized by the use of highly-functional smart sensors and advanced data analytics features. PAVIS also plays an active role in supporting the other research units inside IIT providing scientists in Neuroscience, Nanophysics and other research lines with ad-hoc solutions.

To this end, the group is involved in activities concerning computer vision and pattern recognition, machine learning, multimodal data analysis, sensor fusion, and embedded computer vision systems. The lab will also pursue this goal by working collaboratively and in cooperation with external private and public partners.

This call aims at consolidating PAVIS expertise in the following research areas:
• Biomedical image analysis;
• Neuroimaging (functional and structural connectome);
• Biological signal/image/video processing;
• Neuronal network structural connectivity and functional activity analysis;
• Animal behavior analysis;
• Multimodal data analysis and data fusion.

From the methodological standpoint, the ideal candidate should be familiar withone or more of the following subjects: Probabilistic Graphical Models, Topic Models, Bayesian Non-parametrics, Deep Learning, Neural Networks and Autoencoders, Sparse and Dictionary Learning, Kernel methods and Manifold Learning, Graph-based Learning, Spectral Graph theory.
As the activities may be carried out in collaboration with other research units inside IIT, previous multidisciplinary experience is an added value which will be duly considered. Strong programming skills are also required.
Candidates to this position have a Ph.D. in computer vision, machine learning, pattern recognition or related areas, and research experience and qualification should follow along the same lines.
A keen interest in biomedical issues and applications is of course necessary. Evidence of top quality research in the above specified areas, in the form of published papers in top conferences/journals and/or patents, is therefore mandatory.
Experience in the preparation and management of research proposals (EU, US, national) and a few years of postdoc experience, either in academia or industrial lab, will also be duly considered.
The scientist is expected to publish his/her research results in leading international journals and conferences. She/he will also be asked to contribute to set new project proposals, participate in funding activities, supervising PhD candidates and collaborate with scientists from different disciplines.

The position is offered for a period of 2 years. Salary will be commensurate to qualification and experience and in line with international standards.

Workplace: Genova, Italy.
Further details and informal enquires can be made by email to --LOGIN--d0728d0f6c6e978f32ad89f2744940e4iit[dot]it quoting PAVIS- BC 71883 as reference number in the subject line. Please send your completed application forms along with a curriculum listing all publications (possibly including a pdf of your most representative publications), and a research statement describing your previous research experience and outlining its relevance to the above topics by email to --LOGIN--630c4f9471779b10b75172f6c93ca596iit[dot]it , quoting PAVIS-PD 71883 as reference number In the subject line. Please also send 2 reference letters.
This call will remain open and applications will be reviewed until the position is filled, but for full consideration please apply by July 31st, 2016.

IIT was established in 2003 and successfully created a large-scale infrastructure in Genova, a network of 10 state-of-the-art laboratories countrywide and recruited an international staff of about 1100 people from more than 50 countries. IIT's research endeavor 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.

In order to comply with the Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow IIT to process his/her personal data. We inform you that the information you provide will be solely used 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 its headquarters in Genoa, Via Morego 30, acting as the Data Holder, using computer and paper- based means, observing the rules on the 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.
Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce.

• Postdoctoral position in Computational Neuroscience at Brown University (USA). Received: 28/06/2016.

Applications for an NIH-funded post-doctoral position are invited for the Laboratory of Dr. Wilson Truccolo in the Department of Neuroscience at Brown University, Providence, RI, USA. The positions are for the development of data-driven stochastic models of multiscale neural dynamics in human epilepsy.

Data consist of simultaneous intracortical microelectrode array recordings of ensembles of single neurons and local field potentials, as well as ECoGs, during seizure and non-seizure states in individuals with pharmacologically resistant epilepsy. The project involves a collaboration between the labs of Dr. Truccolo and Dr. Sydney Cash (Massachusetts General Hospital, Harvard Medical School, Boston). The ideal candidate will have a strong background in computational/theoretical neuroscience, modeling of stochastic neural dynamics and experiments involving closed-loop electrical stimulation.

Related recent publications can be found on the Truccolo lab website (http://www.truccololab.com/). Inquiries should be addressed to Dr. Truccolo (--LOGIN--0efe2d67962caf23a85909f044730d8dbrown[dot]edu ). Applications including a CV, statement of research interests, and the names and full contact details of three referees should be sent to --LOGIN--0efe2d67962caf23a85909f044730d8dbrown[dot]edu .

• Research Positions at Sentient Technologies (USA). Received: 22/06/2016.

Sentient Technologies, a Machine Learning startup in San Francisco, has multiple research positions open in
- evolutionary computation
- deep learning
- recurrent neural networks
- blackbox optimization
- data science
- computer vision.

Sentient was founded by the same entrepreneurs who created the technology behind Siri. Emerging from stealth in 2015, Sentient is currently the world's best funded AI startup, and has already eployed products in stock trading and e-commerce, with possible expansions to healthcare, finance, and cyberphysical systems in the future. These products were made possible by original research in evolutionary computation and deep learning, as well as massive computing power: Sentient has developed grid computing technology that harnesses millions of CPUs and thousands of GPUs around the globe, amounting to the largest intelligent system in the world.

In line with the recent trend of merging academic and industry research, several academic faculty are involved in research at Sentient as employees, advisors, or collaborators, including Peter Bartlett (Berkeley), Nello Christianini (Bristol), David Helmbold (UCSC), Chris Holmes (Oxford), Risto Miikkulainen (UTexas), and Caleb Harper (MIT). Sentient also participates in (and sponsors) conferences such as AAI Symposia, GECCO, and NIPS. If you are going to one of those conferences, please stop by to chat!

Positions are open immediately, and in the near future, for
- new PhDs
- senior research scientists
- visiting faculty, and
- student interns.

Succesful candidates will be expected to pursue original research, resulting in publications and patents, and apply it to transformative products in Sentient's core areas. In other words, at Sentient you will have the resources and opportunities to change the world with your work.

To find out more, please contact --LOGIN--854a88e9e4e9da1fcf833b87dc1e8f50sentient[dot]ai , or check out our website at www.sentient.ai

• PhD Position in Functional Partitioning of Automotive Architectures for Advanced Driver Assistance Systems at Eindhoven University of Technology (Netherlands). Received: 16/06/2016, deadline: 15/09/2016.

PhD Position in Functional Partitioning of Automotive Architectures for Advanced Driver Assistance Systems (ADAS)

Staff Category: PhD student
Department: Department of Electrical Engineering
Full time equivalent (FTE): 1.0 (full time)
Starting date: As soon as possible
Application closing date: 15 September 2016
Application number: V36.2625

Research Project
This PhD position is jointly financed by NXP Semiconductors and the Eindhoven University of Technology (TU/e), and the research will take place at NXP and TU/e (both in Eindhoven, NL) in close collaboration.
The PhD candidate will be employed full time at the TU/e.

Electronic Systems group at the Eindhoven University of Technology
Eindhoven University of Technology (TU/e, www.tue.nl) is a world-leading research university specializing in engineering science & technology. The TU/e has been the world's leading university in research cooperation with industry since 2009. The Electronic Systems (ES) group (www.es.ele.tue.nl) comprises three full professors, eight assistant/associate professors, and about 40 PhD candidates and postdocs. The group has excellent infrastructure that includes individual computers, compute servers, state of-the-art FPGA and GPU farms, sensor- and ad-hoc networking equipment, and a comprehensive range of electronic-design software.
The ES group is world-renowned for its design automation and embedded systems research. It is our ambition to provide a scientific basis for design trajectories of digital electronic circuits, embedded and cyber-physical systems, including automotive systems. Our research results in tools and platforms such as SDF3 and CompSOC. We have strong national and international academic and industrial contacts, and participate in many national and European funding projects.

NXP Semiconductors
NXP Semiconductors N.V. (NXP, www.nxp.com) enables secure connections and infrastructure for a smarter world, advancing solutions that make lives easier, better and safer. As the world leader in secure connectivity solutions for embedded applications, NXP Semiconductors holds #1 positions in among others Automotive analog ASSPs, microcontrollers, car entertainment, in-vehicle networking, and secure car access solutions. Built on more than 60 years of combined experience and expertise, the company is headquartered in Eindhoven, The Netherlands, and has 45,000 employees in more than 35 countries.
The Systems Innovations Group in the Chief Technology Office of the Business Unit Automotive studies and showcases innovative and tangible proof of concepts of systems and applications to both external customers and internal NXP. These showcases are used to engage with customers at an early stage and gather innovative system and application insights for use in the NXP product roadmaps.
The group provides support for new business developments across the Automotive business lines and participate in customer engagements as well as in EU collaboration projects. The group is located on the High Tech Campus in Eindhoven, The Netherlands, and provides students with a stimulating, multi-disciplinary environment at the forefront of technology, with knowledgeable colleagues, and an excellent R&D infrastructure.

PhD position in the project
Future vehicles will be increasingly autonomous to decrease the number of traffic accidents and fatalities. Vehicle manufacturers have started to include advanced driver assistance systems (ADAS) inside new vehicle models to achieve this goal. ADAS implementations emerging today are complex distributed systems, with sensors on the periphery of a vehicle to collect the necessary information regarding the environment around the vehicle, which is then communicated to powerful processing units. For example, high-definition cameras may be placed on the corners of a vehicle to provide the raw data to construct a 360-degrees view of the immediate surroundings of the vehicle. This information may be supplemented with information from radar, car-to-x and other sensors, to provide information about the environment at different distances and granularities, and under different weather conditions.

The computation in today's ADAS architectures is very centralized. This provides the ADAS architects with crucial design flexibility at this early stage. However, such a centralized approach comes at significant costs. A first cost is the high computational requirements that are placed on the central processing unit. This processing unit will have to fuse the information from many sensors, some with very high data rates. A second cost involves the high bandwidth and low latency requirements for the interconnections between the sensors and the central processing unit. A third cost is safety-related, in that a single central processing unit can become a single point of failure. An alternative to this architecture is a more decentralized approach, in which some pre-processing is performed in the respective sensors, and less (more abstract) information is communicated between the components in the system.

The research question addressed in this PhD proposal is to: define automotive platform architectures to support the flexible functional (re)partitioning in high-performance automotive applications.

The PhD candidate will investigate the available architectural options to provide extensions to existing high-performance automotive systems, such as used for advanced driver assistance, and support their flexible functional (re)partitioning. The goal of this work is to explore functionally-equivalent alternatives to a pure centralized approach, to quantify potential benefits such as a lower bill of materials, reduced complexity, and power consumption, and high(er) reliability and safety guarantees.

The PhD candidate will be supervised by Prof. dr. Kees Goossens (TU/e) and dr. Bart Vermeulen (NXP).

Requirements
We look for excellent candidates who meet the following requirements.
* An MSc with excellent grades in Electrical Engineering, Computer Engineering, Mechanical Engineering, or a similar relevant programme from a leading university.
* Good knowledge of computer architecture, real-time systems, automotive architectures and software. Knowledge of (automotive) networking, protocol stacks and operating systems. Good skills in (embedded) software languages, such as C, and their tool chains. Experience with (code generation from) Matlab/Simulink is an advantage.
* A team player willing to work in a multidisciplinary multicultural team.
* Good communication skills and excellent English language skills (writing, presenting).
* You must be motivated and eager to push the state of the art, and show your research results with working demonstrators and publications in top conferences and journals.

Conditions of employment
We offer an exciting position in a research group with excellent reputation. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, including:
* A four-year position, with a gross monthly salary from EUR 2174 in the first year, increasing to EUR 2779 in the final year.
* Additionally, 8% holiday and 8.3% end-of-year annual supplements.
* A minimum of 41 holidays per year (excluding bank holidays, for a full-time)
* Excellent technical infrastructure, holiday savings schemes, and sports facilities.
* University courses for personal & professional development.

Application procedure
Applications must be submitted through the form available at http://jobs.tue.nl/nl/vacature/phd-postion-in-functional-partitioning-of-automotive-architectures-268153.html

Please submit at least the following information (only pdf files are accepted):
1. Cover letter, including availability (starting date), and statement of research interests.
2. Curriculum vitae, including full education and employment histories, publication record, proof of proficiency in English, any teaching experience, and the names of at least three references that can be contacted.
3. Scans of certificates showing BSc, MSc, and other courses followed, with grades and rankings.
4. Up to two selected publications (e.g. MSc thesis, conference paper) in English of which you are the first or main author.

The deadline for application is 15 September 2016.

For more information about the advertised position please contact:
Prof. dr. Kees Goossens, --LOGIN--dba26e68e739639701709aa4b6128426tue[dot]nl
Dr. Bart Vermeulen, --LOGIN--1c632c2413f29b960e17abd9275dd5fbnxp[dot]com
For information concerning employment conditions you can contact
Mrs. Tanja van Waterschoot, --LOGIN--f5715cdc7a9668d7b95b6aa29449bb28tue[dot]nl .

• Scientist II opening in Computational Neuroscience at the Allen Institute for Brain Science, Seattle (USA). Received: 15/06/2016.

Scientist II opening in Computational Neuroscience
Lab headed by Dr. Costas Anastassiou
Allen Institute of Brain Science

Do you want to make a difference in our understanding of brain disorders? Do you have a solid background in computational neuroscience/scientific computing/simulation-based research and curious about how the brain works? Are you able to meet aggressive timelines and deliverables in a collaborative environment? The laboratory headed by Dr. Costas Anastassiou at the Allen Institute is currently looking for a talented Scientist II to work on large-scale, biophysically detailed brain circuit simulations to explore the pathophysiology of epilepsy. Our mission at the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. By implementing a team science approach on a large scale we strive to generate useful public resources, drive technological innovations and discover fundamental brain properties through integration of experiments, modeling and theory.

Position summary:
We are seeking to fill a position at the level of Scientist II (SciII) to work on an exciting new translational neuroscience pilot project at the Institute. The goal of this project is to investigate cellular and circuit mechanisms of epileptogenesis in human hippocampus. To address these questions, we seek to develop a faithful computational model of the human epileptogenetic hippocampus consisting of a multitude of reconstructed, interconnected and biophysically faithful neurons emulating anatomical and dynamical characteristics of the pathological brain tissue. For examples of biophysically realistic network models as pursued in this work see [Schomburg, Anastassiou et al, J Neurosci, 2012; Reimann, Anastassiou et al, Neuron, 2013; Taxidis, Anastassiou et al, Neuron, 2015]. The aim of the computational model is to (i) understand how synaptic, cellular and connectivity properties of pathological brain tissue give rise to pathophysiological network dynamics, (ii) understand how pathophysiological dynamics are reflected on signals such as depth-, ECoG- and EEG-recordings, and (iii) identify intervention targets to abort or suppress pathological activity. Importantly, the computational effort will occur in parallel with novel in vitro experiments in brain slices derived from patients undergoing surgery for treatment refractory mesial temporal lobe epilepsy that will provide the data on which the computational modeling will be based. The project will be pursued in collaboration with in-house experimental colleagues as well as neurologists and neurosurgeons and has a guaranteed duration initially of 18 months beginning in the summer of 2016.

Responsibilities:
· Construct detailed biophysical models using cable theory and NEURON-software.
· Design, implement and analyze large-scale network simulations.
· Publish/present findings in peer-reviewed journals/scientific conferences.
· Prepare written and oral reports on a regular basis.
· Publish scientific findings in peer-reviewed journals and relevant conferences.
· Maintain clear and accurate communication with supervisor and team members.

Qualifications:
· PhD degree in computational neuroscience, physics, biology, bioengineering or related fields.
· Strong background in scientific computing; experience in computational neuroscience is preferred, but other strong applicants will be considered (with background in computational physics, biophysics, and related disciplines). Experience with parallel computing is a plus as well as familiarity with high-level programming languages such as python.
· Ability to meet aggressive timelines and deliverables in a collaborative environment.
· Strong publication record.
· Experience in pursuing research projects in collaborative fashion.
· Proven independent thinking and flexibility.
· Familiarity with in vitro and in vivo electrophysiological monitoring techniques and data analyses.
· Strong written and verbal communication skills.

How to apply:
Visit the Allen Institute for Brain Science Careers website (https://www.alleninstitute.org/what-we-do/brain-science/careers/job-search/) and fill out your information for the Scientist II-position under “2200-Modeling, Analysis and Theory”.

• Postdoc Position in Cognitive and/or Computational Neuroscience at TU Dresden (Germany). Received: 15/06/2016, deadline: 20/07/2016.

4-YEAR POSTDOC POSITION IN COGNITIVE AND/OR COMPUTATIONAL NEUROSCIENCE (NEUROMODULATION, AGING, AND COGNITION)

The Chair of Lifespan Developmental Neuroscience of TU Dresden's Psychology Dept. and the university's Neuroimaging Center seek to fill the following position within a Collaborative Research Center (“Sonderforschungsbereich” SFB 940) that is founded by the German Research Foundation (DFG).

Postdoctoral Fellow in Cognitive Neuroscience and/or Computational Neuroscience

The position could start on Sept. 1st, 2016 and entails 100% of the fulltime weekly hours and is fixed-term for 4 years. The period of employment is governed by §2Fixed Term Research Contract Act (Wissenschaftszeitvertragsgesetz ­– WissZeitVG). Payment is according to the nationally agreed scale E-13 TV-L.

The to-be-filled position in this announcement will be associated with SFB940-Project B3 on Aging and Neuromodulation of Complementary Control Processes. The project will conduct pharmaco-fMRI studies in younger and older adults to investigate how aging may moderate dopamine modulation of complementary control processes in tasks subserved by the frontal-hippocampal-striatal circuitries (e.g., perceptual, spatial, and dynamic decision tasks).

In its 2nd funding period the Collaborative Research Center “Volition and Cognitive Control” (SFB 940) comprises of 14 projects with a budget of over 10 Mill. € (http://www.sfb940.de/de/home.html). The center combines expertise from experimental psychology, biological psychology, cognitive-affective neuroscience, lifespan developmental neuroscience, clinical psychology and psychiatry to investigate cognitive and neural mechanisms of volitional control, the development and aging of these mechanisms, and volitional dysfunctions in selected mental disorders. The Collaborative Research Center and the TU Dresden (which is one of the 11 Universities of Excellence selected by the German Research Foundation and the German Council of Science and Humanities) provide an outstanding scientific infrastructure and ideal environment for interdisciplinary cooperation.

Tasks: The successful applicant will work together with the principle investigators of the project in supervising Ph.D. students and will oversee the executions of neuroimaging experiments, conduct model-based imaging data analyses, as well as prepare manuscripts and conference presentations.

Requirements: A doctorate degree in Psychology, Cognitive Neuroscience, Computational Neuroscience, Medicine or related disciplines. Strong backgrounds in conducting and analyzing structural and functional imaging data. We particularly seek applicants who also have experiences in computational modeling and/or advanced imaging data analyses. Applications from women are welcome. The same applies to people with disabilities.

Complete applications (including a CV, a short research statement, names and emails of 2 to 3 referees, and 2 to 3 representative articles) should be sent preferably as one PDF-document via email with “Application-Postdoc-SFB-B3” in the subject header to Prof. Shu-Chen Li, Ph.D. (--LOGIN--8c9b7a7e1e1cbf86fb740451f937bf8ftu-dresden[dot]de ) and Prof. Dr. med. Michael Smolka (--LOGIN--9e0bb144856397f938a4e0967bf4b144tu-dresden[dot]de ). Please note that we are currently not able to receive electronically signed and encrypted data. Initial deadline of application is July 20th, 2016 (stamped arrival date of TU Dresden central E-mail service applies); however, the search process will continue until the position is filled.

• Postdocs in NLP, ML, deep learning, and KR&R at University of Massachusetts Amherst (USA). Received: 13/06/2016.

Applications are invited for multiple postdoctoral fellowship positions working with Andrew McCallum at University of Massachusetts Amherst in various combinations of
- natural language processing;
- deep learning and other areas of machine learning;
- knowledge representation and logical reasoning, with deep learning;
- knowledge bases;
- application areas are flexible; current work includes reasoning about the scientific literature, career paths, peer review.

I will be available to meet in person with interested candidates at the 2016 NAACL, ICML and UAI conferences.

The postdocs will be part of a large research group with many collaborative opportunities, both within the group as well as across the UMass Amherst's Center for Data Science and College of Information and Computer Sciences (which includes other faculty working in deep learning, NLP, machine learning, computer vision, databases, and information retrieval). UMass Amherst ranks 4th in AI among US universities by publications in top-tier venues. The UMass Amherst Center for Data Science recently announced at $15m gift from MassMutual to further expand faculty hiring. Surrounded by five colleges, Amherst is located in bucolic western New England within day-trip range of both Boston and New York.

Successful applicants will have extensive research experience, an excellent publication record in one or more of the research areas above, creativity, and strong communication, experimentation, and coding skills.

Examples of McCallum's previous postdocs and PhD students with academic placements:
Sebastian Riedel, University College London
Charles Sutton, University of Edinburgh
David Mimno, Cornell
Sameer Singh, UC Irvine
Jinho Choi, Emory
Benjamin Roth, Munich University
Chris Pal, École Polytechnique de Montréal

If you are interested, or have questions, or would like to meet at NAACL, ICML or UAI, please send email to Andrew McCallum --LOGIN--e89c5592b4f364dbc8b7d3f521aa1807cs[dot]umass[dot]edu and Pam Mandler --LOGIN--5fd2150cf41e21f0ee1d31a637f864ddcs[dot]umass[dot]edu .

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

• 2 PhD positions in experimental cognitive neuroscience and computational neuroscience at TU Dresden (Germany). Received: 13/06/2016, deadline: 04/07/2016.

The Department of Psychology at the TU Dresden (Chair of Neuroimaging, PI: Stefan Kiebel) is looking for two PhD students. One of the PhD student positions is in experimental cognitive neuroscience, and one is in computational neuroscience. Both PhD positions will be working at the interface between computational and experimental neuroimaging research in cognitive control and goal-directed action sequences. Detailed information about both positions can be found at: http://tiny.cc/8ii4by

Both positions are part of the DFG-funded CRC 940 'volition and cognitive control' (http://www.sfb940.de/en/home.html). The CRC was established in 2012 and will be funded for the next four years. The CRC aims at identifying the cognitive and neuronal mechanism, which underlie the volitional control of goal-directed actions as well as its dysfunctions in selected mental disorders.

PhD position 1: The candidate will work as a member of a team in the CRC940-Project A9 on computational modelling of goal-directed actions and explaining dynamics in cognitive control in terms of variations in meta-control parameters. In this project, neuroimaging (fMRI and EEG) experiments will be used to test hypotheses derived using advanced Bayesian models of goal-reaching over multiple trials. http://tiny.cc/8ii4by (PhD position Cognitive Neuroscience).

PhD position 2: The candidate will work as a member of a team in the CRC940-Project Z2 on advanced computational modelling of functional magnetic resonance imaging and electroencephalography data. In this project, advanced modelling techniques will be developed and extended to enable testing novel experimental hypotheses using fMRI and EEG. http://tiny.cc/8ii4by (PhD position Computational Neuroscience).

• Postdoc Postion in Multiscale Modeling Methods & Neuroscience Simulator Development at SUNY Downstate Medical Center, Brooklyn (USA). Received: 13/06/2016.

A Multiscale Modeling Postdoctoral Fellowship is available for combining cell biology (reaction-diffusion) and electrophysiology in the NEURON simulator (http://neuron.yale.edu).

The position involves an unusual mix of software engineering and science, depending on the candidate’s background and interests. Mathematically, interesting challenges arise in coupling 1D and 3D simulations and coupling deterministic with stochastic simulation. Biologically, dendrites and spines produce complex morphologies with much possibility for spatial variation in concentration. At the network level, the molecular scale interacts in unexpected ways with cellular and network dynamics. Although the work is technical and focused on software development, paper writing is expected with opportunity for both methods papers and biological papers, typically in collaboration with experimental labs.

The postdoc will receive training in a wide range of interdisciplinary skills from computer science, applied math, biophysics, cell biology, electrophysiology, etc. The work is being performed in close collaboration with experimental laboratories, giving the opportunity to immediately determine how closely a modeling technique can match the experimental reality (or how experimental artifact can be reduced so as to match a model).

Candidates should have a strong background in computer programming, with demonstrated proficiency in C/C++, Python, or some other major language. Familiarity with any or all of threading, MPI, SBML, or user interface design is a strong plus. Strong interest, though not necessarily research experience, in cell biology and/or neuroscience is a must. Some experience with NEURON is desirable.

We are part of the team that develops and disseminates the NEURON multiscale modeling (MSM) environment, used by thousands of researchers over decades (now in year 40). As with most simulators, NEURON has historically emphasized neuronal network connectivity and cell membrane electrical dynamics. Recent advances in genomics and proteomics require that the scales of cell biology be added to the MSM mosaic. This extension is particularly important for understanding major problems in learning and memory (the genesis of long-term potentiation in the interaction of chemo- and electro-) and in understanding and developing treatments for brain disease.

The work is being done as a collaboration between SUNY Downstate and Yale University under the auspices of a 5 year continuation of an ongoing grant from the National Institute of Mental Health. The NIH and other agencies (FDA, NASA, NSF, DARPA, others) are making a strong push to enhance multiscale modeling in biomedical engineering across organ systems, but particularly with respect to brain function and brain disease -- this is a major growth area in bioscience.

Based on the candidate's background and preferences, job could be in Brooklyn, New Haven or via telecommuting. The labs maintain frequent (sometimes seemingly constant) communication via instant messaging (Slack) with software sharing via git and mercurial. Applicants should contact Bill Lytton or Robert McDougal by email (--LOGIN--50e5bf9e41c3bd2aafe33a0d33442f2cneurosim[dot]downstate[dot]edu --LOGIN--a2511be612dc6b1de9e574f987f39572yale[dot]edu ; no snail mail please) with a CV and cover letter. SUNY is an equal opportunity employer.

• PhD Student Jobs in Deep Learning at IDSIA (Switzerland). Received: 12/06/2016.

We are now hiring PhD students in Deep Learning & Recurrent Neural Networks & Reinforcement Learning & Unsupervised Learning - please see

http://people.idsia.ch/~juergen/rnnai2016.html

Earlier we already announced PostDoc positions:

Join the Deep Learning team (since 1991) that won more competitions than any other. We are seeking postdocs for the project RNNAIssance based on this tech report on “learning to think:” http://arxiv.org/abs/1511.09249 . The project is about general purpose artificial intelligence for agents living in partially observable environments, controlled by reinforcement learning recurrent neural networks (RNNs), supported by unsupervised predictive RNN world models.

Location: The Swiss AI Lab, IDSIA, in Switzerland, the world’s leading science nation, and most competitive country for the 7th year in a row. Competitive Swiss salary. Preferred start: As soon as possible. More details and instructions can be found here: http://people.idsia.ch/~juergen/rnnai2016.html

• Postdoctoral position in Network Security and Data Mining at Mid Sweden University (Sweden). Received: 10/06/2016, deadline: 30/06/2016.

The Department of Information and Communication Systems at Mid Sweden University invites applications for a full-time postdoctoral research position in the area of network security and data mining. The candidate must obtain his/her Ph.D. degree before joining MIUN, and should have adequate security research experience demonstrated through publications in top-tier international conferences and journals. Good verbal and written skills in English are required.

The candidate is expected to pursue research on various aspects of network security, especially in the areas of wireless security and advanced features of mobile devices and networks. The candidate should also be interested in extending its research to machine learning/data mining.

The position is available immediately (starting date is flexible) for one year and extensible for up to one year based on performance and availability of funds.

Application: Please submit your application electronically, including proven curriculum vitae to --LOGIN--d336b8b8e659a5ab9406be342f507eafmiun[dot]se or by regular mail to Registrar, Mid Sweden University, 851 70 Sundsvall, Sweden. Mark your application with ref no MIUN 2016/1185. Applications must be received by Mid Sweden University by 2016-06-30.

• Tenure-track Assistant Professor position in Computational/Theoretical Neuroscience at Stony Brook University (USA). Received: 09/06/2016.

The Department of Neurobiology and Behavior at Stony Brook University is recruiting one tenure track faculty member at the level of Assistant Professor in the field of Computational/Theoretical Neuroscience. Eligible candidates must have a PhD, MD or equivalent degree.

This position is associated with an exceptional package including state-funded salary and benefits, newly renovated lab and office space and generous start-up funding.

The successful candidate will join an interactive, diverse group at Stony Brook University and its affiliated institutions, and will actively contribute to the Department programs in undergraduate and graduate education.

Nominations or applications, including CV, statement of research and teaching interests and contact information for three letters of references should be sent to AcademicJobsOnline at:
https://academicjobsonline.org/ajo/jobs/7229

Electronic submissions are strongly preferred but hard copy applications can be mailed to:
Computational Neuroscience Search, Department of Neurobiology & Behavior,
Life Science Bldg., Room 573, SUNY Stony Brook, Stony Brook, NY 11794-5230.

Review of applications will begin in June, 2016 and will continue until the position is filled.

• PhD in computational modelling at Birmingham City University (UK). Received: 09/06/2016.

Investigating oscillatory behaviour in Alzheimer’s disease to establish biomarkers: an EEG and computational modelling programme of PhD study

Applications are invited for a 3-year PhD studentship within the Department of Psychology, Faculty of Business Law and Social Sciences, Birmingham City University. Applicants need to demonstrate ability and commitment, including excellent communications skills in written and spoken English.

Project Synopsis:
This proposed PhD work follows high profile research by the University of Birmingham team (Prof. Kim Shapiro, Prof. Howard Bowman and Mr Ali Mazaheri). The project is collaborative work between Birmingham City University (Dr Eirini Mavritsak) and University of Birmingham (Prof. Kim Shapiro and Prof. Howard Bowman). The University of Birmingham team has access to ERP data of a semantic anomaly and word repetition task (Olichney et al, 2002). In the original analysis of the data Olichney and colleagues, the N400 component was analysed, which is related to semantic manipulation. Olichney and colleagues found evidence of N400 abnormalities in mild cognitive impairment patients, which predicted later progression to Alzhemier’s. We plan to simulate this data and the changes observed in this data by developing a computational model that is based on the sSoTS (Mavritsaki, Heinke, Humphreys and Deco, 2011) model. The synaptic currents that sSoTS contains will allow us to extract the ERP profile and simulate the above described experiment. In addition to that sSoTS model has already successfully simulated visual search outcomes for patients with Alzheimer’s (Mavritsaki and Humphreys, 2013).

The project is separated into two phases: in phase 1, we plan to develop the computational model to simulate controls and mild cognitive impairment patients and in phase 2 we are planning to extend the model to allow us to predict the development of the disease based on identified biomarkers.

The successful applicant will join the Centre for Applied Psychological Research (CAP Research) within the Department of Psychology at Birmingham City University. CAP Research is part of a vibrant and rapidly expanding research community, which offers applicants with an excellent opportunity to develop their research career. The applicant has the opportunity to have teaching experience, to participate in research seminars and to co-supervise undergraduate projects.

The successful candidate will also be expected to attend the weekly meetings of the University of Birmingham research team.

For more information please contact Dr Eirini Mavritsaki (--LOGIN--9a53b52739f9b827234892e34d6ea853bcu[dot]ac[dot]uk ) or Prof. Howard Bowman (--LOGIN--989465b35e4dbcb7aef8d095521e5243bham[dot]ac[dot]uk ).

To apply, please use the link below:
http://bcu.ac.uk/courses/social-sciences

Candidate Qualification and Specifications:

Essential
- The applicant should hold a good undergraduate honours degree (First or 2:1) in psychology or related area.
- The applicant should have experience of computational modelling, evidenced by previous work or masters degree.
- A demonstrated understanding of research methods is essential (as evidenced by degree transcript grades for research methods and dissertation modules).
- Experience in C++ and Matlab.

Desirable
- A Masters’ degree in research methods, psychology or computational modelling
- Experience in EEG analysis

• Desarrollador en Wazuh, Granada (Spain). Received: 08/06/2016.

Wazuh se dedica al mundo de la seguridad informática basada en detección de intrusiones a nivel de Host. Contribuimos al mundo Open Source Security desarrollando y mejorando las capacidades del software OSSEC.
Con sede en Silicon Valley, pretendemos ahora crear un equipo de desarrollo en Granada.
Buscamos personas con experiencia en manejo de sistemas Linux y conocimientos de programación en C y/o Python.
Valoramos la motivación y el deseo de crecer profesionalmente, aspiraciones, trabajo en equipo, capacidad de entrega y dedicación.

Responsabilidades
- Desarrollo de sistemas semi-complejos en C
- Desarrollo de funciones para librerías en Python
- Ser parte de diseño y construcción de nuevos módulos
- Instalación y despliegue de software en cliente
- Creación de nuevas reglas de detección
- Crear integraciones con múltiples herramientas de seguridad open source

Requisitos
- Experiencia mínima: 1 año
- Programación en C y/o en Python
- Manejo de sistemas operativos basados en Linux
- Control de versiones: Git
- Trabajo en equipo
- Motivación, pro actividad y capacidad de entrega
- Ambición por crecer profesionalmente

Requisitos deseables
- Inglés fluido
- Experiencia con expresiones regulares
- Otros lenguajes de programación: AngularJS, Bash scriptting.
- Docker, Puppet, Amazon AWS, Chef, Ansible, CFEngine.

Ofrecemos
- Capacidad de promoción
- Experiencia en el mundo IT Security de Silicon Valley
- Flexibilidad
- Excelente ambiente
- Colaboración y desarrollo para grandes empresas internacionales del mundo IT

Contacto
Envíe un email con toda la información que considere necesaria, adjuntando su CV al email a continuación.
--LOGIN--7ba66819ec0c5e6bbcb226929089e8afwazuh[dot]com

• Postdoc in Cloud Security at The University of Auckland (New Zealand). Received: 07/06/2016.

The Department of Computer Science at The University of Auckland seeks a Research Fellow/Postdoctoral Researcher to join the SECRET (SECurity and pRivacy in Emerging Technologies) lab.

This research will take place in a new MBIE-funded Cyber Security STRATUS (Security Technologies Returning Accountability, Transparency and User-centric Services to the Cloud) project in collaboration with University of Waikato, UniTech, the Cloud Security Alliance and several New Zealand-based industrial partners. The aim is to investigate novel yet practical cloud security tools to be adopted by the industry partners.

The research conducted by The University of Auckland team will focus on applied cryptography for retrieval and processing of encrypted data in outsourced and untrusted environments. This involves a substantial program of research to develop, implement and apply to industrial case studies.

This is a full time post for a fixed-term of 2 years. Salary starts from 74000 NZD per annum.

Applicants should have a Ph.D. in Computer Science in a relevant field (cloud security with emphasis on crypto solutions) a demonstrable research interest in the area of applied crypto with emphasis on homomorphic encryption for encrypted data processing and retrieval focusing on cloud computing, and experience in designing, analysing and efficiently implementing novel crypto algorithms. Previous experience in the area of big data with emphasis on privacy/confidentiality would be advantageous.

Host Institution: The University of Auckland is New Zealand's leading university. In the 2013 QS survey, the Department of Computer Science was ranked 38th. The University of Auckland has a strong international focus and is the only New Zealand member of Universitas 21 and the Association of Pacific Rim Universities - international consortia of research-led universities. Auckland is ranked third out of 221 world cities for quality of living in the 2012 Mercer Quality of Living Survey (see www.mercer.com/qualityofliving).

As part of application, you have to send the following documents:
- CV (including the list of publications)
- Research statement
- Academic transcripts

All applications must be submitted by email to: --LOGIN--3f536c9e995605844b4f626880a4d64bauckland[dot]ac[dot]nz

Further enquiries about the position should be directed to Dr. Giovanni Russello: --LOGIN--3f536c9e995605844b4f626880a4d64bauckland[dot]ac[dot]nz

• 2 PhDs in Cloud Security at The University of Auckland (New Zealand). Received: 31/05/2016.

The Department of Computer Science at The University of Auckland seeks 2 Ph.D. Students to join the SECRET (SECurity and pRivacy in Emerging Technologies) lab.

This research will take place in a new MBIE-funded Cyber Security STRATUS (Security Technologies Returning Accountability, Transparency and User-centric Services to the Cloud) project in collaboration with University of Waikato, UniTech, the Cloud Security Alliance and several New Zealand-based industrial partners. The aim is to investigate novel yet practical cloud security tools to be adopted by the industry partners.

The research conducted by The University of Auckland team will focus on applied cryptography for retrieval and processing of encrypted data in outsourced and untrusted environments. This involves a substantial program of research to develop, implement and apply to industrial case studies.

Applicants are required to have completed (or be close to completing) a Master degree (or equivalent) with outstanding grades in Computer Science, Mathematics, or closely related areas. Additional knowledge in related disciplines such as complexity theory or IT security is welcome.

The candidate should be able not only to design but also implement working prototypes of the crypto scheme developed during the research period.

The STRATUS project will provide a stipend of 25,000 NZD p.a. and cover the costs of the tuition fee for 3 years.

Host Institution: The University of Auckland is New Zealand's leading university. In the 2013 QS survey, the Department of Computer Science was ranked 38th. The University of Auckland has a strong international focus and is the only New Zealand member of Universitas 21 and the Association of Pacific Rim Universities - international consortia of research-led universities. Auckland is ranked third out of 221 world cities for quality of living in the 2012 Mercer Quality of Living Survey (see www.mercer.com/qualityofliving).

As part of application, you have to send the following documents:
- CV
- Research statement
- Academic transcripts

All applications must be submitted by email to: --LOGIN--3f536c9e995605844b4f626880a4d64bauckland[dot]ac[dot]nz

Further enquiries about the position should be directed to Dr. Giovanni Russello: --LOGIN--3f536c9e995605844b4f626880a4d64bauckland[dot]ac[dot]nz

• PhD positions for the European Training Network for Cyber-security at the University of Trento (Italy). Received: 31/05/2016, deadline: 15/06/2016.

There are available two positions to research on security topics at the University of Trento.

DEADLINE FOR APPLICATION: June 15, 2016, hrs. 04.00 PM (+2 GMT)

Successful candidates are considered Early Stage Researchers under the provisions of the rules of the Marie Sklodowska-Curie actions. Project European Training Network for Cyber-security - NeCS ETN H2020- MSCA-ITN-2015
Gross amount of Research fellowship: 33.051/year + mobility allowance (gross amount 5.975/year) + possible Family Allowance in addition to coverage of study and research relates expenses
Duration of the contract: 3 years
Research Fields: Computer science and Engineering

Research topics:
1: Risk metrics for vulnerabilities. This topic is devoted to the research and training in the design, development and validation of cyber-security risk assessment methodology and practical security risk metrics for critical infrastructures. It will also include the design, implementation of empirical validation procedures and experiments to validate risk and security methodology based on a sufficiently representative dataset of vulnerabilities and exploits.
2: Attack vectors & cyber-threats. Aim of this topic is the design of methods that support cyber-security operations by improving the predictive analysis of cyber-attacks, the resilience of systems and their ability to predict, detect and respond to evolving cyber-attacks. Aim of this topic is also the design of new technique to identify, assess and quantify new classes of vulnerabilities, cyber threats and attack vectors targeting critical infrastructures.

Eligibility criteria:
The applicants should, at the time of selection, be in the first four years of their research careers (measured from the date when they obtained the degree which would entitle them to embark on a doctorate).
The applicants should not be in possession of a doctoral degree, but should have the necessary qualifications to embark on a PhD program. All the ESRs will be required to be enrolled in the PhD programs.
The applicants must not have resided or carried out their main activities (work, studies, etc.) in the country of the recruiting organization for more than 12 months in the last 3 years.

Selection process:
Applications should be sent by email to the Coordinator of the NeCS consortium (--LOGIN--2ddc939d7a91daac5bf7552afabac532iit[dot]cnr[dot]it and in copy to --LOGIN--099caa6631386d9652e4bd2f88390ec7unitn[dot]it with Subject: NeCS-UNITN).
Attachments must include a single pdf file containing the following:
- CV (with list of publications, if any, and at least two contacts for reference)
- Research proposal
- Statement of purpose
- Copy of Master's Degree (including transcript, grades, title and abstract of Master's thesis).
If the degree certificate is in a language different than English, an English translation should be provided. At time of selection such translation doesn't need to be an official translation.
The candidates selected for the positions will have to provide an official translation (in either English or Italian).

Information
Questions regarding the research activities should be directed to Prof. Fabio Massacci.
For information regarding the project, please contact: --LOGIN--9290de839adbc64df1174c6b267ae4b3unitn[dot]it

Website:
http://www.necs-project.eu/content/open-call-phd-positions-european-training-network-cyber-security-university-trento

• Postdoc position in cognitive and computational neuroscience at Princeton University (USA). Received: 30/05/2016.

The lab of Dr. Yael Niv at Princeton University (http://www.princeton.edu/~nivlab) is seeking a talented postdoctoral or more senior research associate to work as part of the newly formed Rutgers-Princeton Center for Computational Cognitive Neuropsychiatry (http://ccnp.princeton.edu). Research in the lab focuses on behavioral and imaging experiments and computational modeling of learning and decision making and their interaction with attention and memory processes.

The successful candidate will be exceptionally talented and motivated, with a clinical research background and a keen interest in applying methods from computational cognitive modeling to help understand and treat mental illness. The specific area of research is flexible, including anxiety and mood disorders, addiction, PTSD, OCD, schizophrenia. We are particularly looking for someone with initiative and creative ideas who will help chart a path for the lab in transitioning to research in the emerging field of computational psychiatry.

The Princeton Neuroscience Institute and the Psychology Department at Princeton are highly interdisciplinary and collaborative, and provide excellent support for career development. You will be joining a vibrant and international research group, and will have opportunities to interact with and learn from a large number of world-class researchers in cognitive and computational neuroscience. Initial appointments are for one year with the possibility of reappointment based on satisfactory performance and funding.

Essential Qualifications: PhD in psychology, psychiatry, neuroscience, cognitive science, or other closely related field; a strong track record of research; and experience with research on mental illness and psychiatric populations.

Preferred Qualification: Proficiency with computer programming (Matlab, Python, R or equivalent) and strong analytical and quantitative skills are strongly preferred. Experience with behavioral experiments (decision making/psychophysics) and model-based data analysis, fMRI (event related designs and model-based analysis techniques), and/or computational modeling (machine learning, reinforcement learning, Bayesian models) are an advantage, though not strictly required.

If you are interested please email a CV, research statement, and contact information for at least 2 references to --LOGIN--1695ce521dac598a8ee81d3e289200cdprinceton[dot]edu , and upload these materials at https://jobs.princeton.edu (Requisition #1600435).

Princeton University is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. This position is subject to the University’s background check policy.

• Two PhD positions at Oldenburg University (Germany). Received: 26/05/2016, deadline: 06/06/2016.

The Physiology and Modeling of Auditory Perception Group headed by Prof. Dr. Sarah Verhulst at Oldenburg University, Germany, seeks two motivated

PhD students (65% each of full time TV-L 13 position, 3 years),

to start their projects in the fall of 2016.

The positions are part of the ERC project RobSpear: “Robust Speech Encoding in Impaired Hearing” that takes an interdisciplinary approach (combining computational auditory models with EEG, psychoacoustics and machine-learning) to study sound processing in listeners with impaired hearing due to ageing or noise exposure. Both novel diagnostic methods as well as signal-processing strategies for hearing restoration are the focus of this project. Patient contact is required. Funding is available for three years.

The Physiology and Modeling of Auditory Perception Group offers an international scientific environment as well as access to world-class research facilities. For more information about the group see www.uni-oldenburg.de/pmoap.

Applicants for the position must hold an academic university degree (master or equivalent). Candidates should have excellent oral and written English skills, experience with signal processing and coding (Matlab, Phython).

Project 1: Model-based hearing diagnostics. The focus is on computational auditory modeling as well as optimizing (multichannel) EEG and otoacoustic emission methods. Auditory modeling experience is a plus, and experience with EEG recording (writing experiment code and analysis) is necessary. Background: M.Sc. in neuroscience, or acoustics, physics, electrical engineering, experimental psychology.

Project 2: Psychoacoustic sound encoding strategies. Experience with conducting psychoacoustic experiments is necessary (writing experiment code and analysis). Background: M.Sc. in neuroscience, or acoustics, physics, electrical engineering, experimental psychology, audiology.

The University of Oldenburg is an equal opportunity employer and dedicated to increasing the percentage of women in science. Therefore, female candidates are especially encouraged to apply. According to § 21, 3 NHG female applicants are to be preferentially considered in case of equal qualification. Applicants with disabilities will be preferentially considered in case of equal qualification.

Applications including a CV, motivation letter, copies of higher-education degrees, grade transcripts and the name and contact details of two persons who are willing to give a reference should be sent to: --LOGIN--8eb7d53ecdfb95af7f859ab4ade63965uni-oldenburg[dot]de (electronic submission preferred), or to:

Prof. Dr. Sarah Verhulst
Medizinische Physik
Universität Oldenburg
Carl-von-Ossietzky Strasse 9-11
D - 26111 Oldenburg

For further information please contact Prof. Dr. Sarah Verhulst, Tel. (+49) 441 798 5488.

Application Deadline: 6 June, 2016

• Post-Doc position in hearing-impaired signal processing at Oldenburg University (Germany). Received: 26/05/2016, deadline: 03/06/2016.

The Physiology and Modeling of Auditory Perception Group headed by Prof. Dr. Sarah Verhulst at Oldenburg University, Germany, seeks a motivated

Post-Doc in hearing-impaired signal processing (full time TV-L 13 position, 3 years),

to start in the fall of 2016. The position is suitable for part-time work.

The position is part of the ERC project RobSpear “Robust Speech Encoding in Impaired Hearing” that takes an interdisciplinary approach (combining computational auditory models with EEG, psychoacoustics and machine-learning) to study sound processing in listeners with impaired hearing due to ageing or noise exposure. Both novel diagnostic methods as well as signal-processing strategies for hearing restoration are the focus of this project. The candidate will become part of a team that has a mixture of experimental and computational researchers working on hearing-impaired signal processing. This position is ideal for theoretically and computationally strong candidates interested in hearing and sound-processing related applications. Funding is available for three years.

The Physiology and Modeling of Auditory Perception Group offers an international scientific environment as well as access to world-class research facilities. For more information about the group see www.uni-oldenburg.de/pmoap.

Applicants for the position must hold an academic university degree (master or equivalent) and a PhD in mathematics, or physics, machine learning, auditory signal processing. Excellent coding skills (Python, Matlab) and signal processing knowledge are required, experience with auditory modeling and sound applications are a big plus. Experience with writing scientific papers and excellent written and oral English skills are required.

Project: Model-based signal-processing strategies
The project adopts computational models of the auditory system to develop signal processing, machine learning and optimization algorithms for sound encoding. Patient contact is not required, but working in a team that takes experimental (physiological and psychoacoustic) approaches to hearing is necessary. Prior experience in auditory signal processing is required.

The University of Oldenburg is an equal opportunity employer and dedicated to increasing the percentage of women in science. Therefore, female candidates are especially encouraged to apply. According to § 21, 3 NHG female applicants are to be preferentially considered in case of equal qualification.
Applicants with disabilities will be preferentially considered in case of equal qualification.

Applications including a CV, motivation letter, copies of higher-education degrees, grade transcripts and the name and contact details of two persons who are willing to give a reference should be sent to --LOGIN--8eb7d53ecdfb95af7f859ab4ade63965uni-oldenburg[dot]de (electronic submission preferred), or to

Prof. Dr. Sarah Verhulst
Medizinische Physik
Universität Oldenburg
Carl-von-Ossietzky Straße 9-11
D - 26111 Oldenburg

For further information please contact Prof. Dr. Sarah Verhulst, Tel. (+49) 441 798 5488.

Application deadline is 3 June, 2016.

• Internship in Data Science at Infineon, Munich (Germany). Received: 23/05/2016.

At a glance
We are looking for a student in Data Science to develop an engine that identifies market trends. Currently you are studying Computer Sciences and have strong MS Office skills and knowledge in VBA. Furthermore you gain experience in data visualization, text mining and information extraction.

Location: Munich
Entry level: Internship
Job ID: 12571
Start date: immediately

Job description
Tasks of the internship will be to develop an engine that identifies market trends out of unstructured text/documents available
You should be comfortable with analyzing complex text datasets and relational data. Ideally with background in text mining, natural language processing libraries, corpus training and setup

In your new role you will:
- Setup the Information Extraction (IE) engine to structure a set of documents (text) in table format
- Support the visual representation of text structured data
- Provide alternative visual representation of other types of data

Profile
You are best equipped for this task if you:
- Are studying Computer Sciences
- Have strong MS Office skills and possess knowledge in VBA
- Have Perl or Python skills
- Already gained experience in data visualization, text mining and information extraction
- Have knowledge in natural language processing techniques

a plus but not mandatory:
- Experience in handling big datasets
- Knowledge in Big Data Engineering and Analytics

Please attach the following documents to your application: - Your CV
- Document statig that the internship is mandatory (if applicable)
- Copy of your certificate of matriculation at a university
- Copy of your latest study transcript
- Copy of your final school report

About Us
Part of your life. Part of tomorrow.
We make life easier, safer and greener – with technology that achieves more, consumes less and is accessible to everyone. Microelectronics from Infineon is the key to a better future. Efficient use of energy, environmentally-friendly mobility and security in a connected world – we solve some of the most critical challenges that our society faces while taking a conscientious approach to the use of natural resources.

http://www.infineon.com/cms/en/careers/jobsearch/jobsearch/12571-Internship-Data-Science/

• Contrato de investigación en Arquitecturas Paralelas en la Universidad Politécnica de Valencia (Spain). Received: 23/05/2016.

Se oferta un contrato en el Grupo de Arquitecturas Paralelas de la Universidad Politécnica de Valencia para trabajar en el proyecto rCUDA (www.rcuda.net).

La titulación necesaria es Ingeniero en Informática o título universitario oficial de Graduado en el ámbito de la titulación indicada.
El sueldo bruto es 1400 euros/mes. El contrato tiene de duración hasta el 31 de diciembre de 2016, prorrogable durante 2017 y 2018 de acuerdo a la valía del candidato. También es posible la posterior contratación del candidato en una empresa privada para continuar trabajando dentro del proyecto rCUDA.

Información complementaria de la oferta:
La convocatoria de la plaza se puede acceder en http://www.upv.es/entidades/SRH/conypi/U0723606.pdf
Se puede solicitar información adicional a --LOGIN--b33d5e63b4c1237f7f4f6ec10826ad04disca[dot]upv[dot]es

• Postdoctoral Research Scientist Position in Neuroimaging and Neurostimulation at Columbia University (USA). Received: 16/05/2016.

The Laboratory for Intelligent Imaging and Neural Computing (LIINC) directed by Prof. Paul Sajda at Columbia University has an immediate opening for a Postdoctoral Research Scientist (Fellow) to participate in a project focused on building and characterizing an integrated closed-loop multimodal neuroimaging and neurostimulation system for use in humans. This is a joint project with the Medical University of South Carolina (Profs. Truman Brown and Mark George ) where we are building an EEG/fMRI/TMS instrument capable of real-time and on-line neurostimulation and imaging. Our long term goal is to use the instrument for both basic science and clinical applications. The successful applicant will be involved in both developing and testing the instrument as well as conducting novel scientific experiments and clinical studies.

Applicants should have a background in several of the following area: Recording and analysis of simultaneous EEG and fMRI , real-time signal processing, recording and analysis of simultaneous EEG and TMS, instrumentation (digital and analog electronics), machine learning. A Ph.D. in Electrical Engineering, Computer Science or Neuroscience is preferred.

LIINC (liinc.bme.columbia.edu) is within the Department of Biomedical Engineering at Columbia University. We are part of a dynamic and vibrant neuroengineering environment which includes the Center for Neuroengineering and Computation (cnec.columbia.edu) the Zuckerman Mind Brain Behavior Institute (zuckermaninstitute.columbia.edu) and the Data Sciences Institute (dsi.columbia.edu).

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 ).

The position is for one year, with the option to renew for 2-3 years, given satisfactory performance and available funding. The position is available immediately and applicants will be considered on a rolling basis.

• Six faculty positions at the University of Essex (UK). Received: 11/05/2016.

We are looking to expand our faculty with people of outstanding ability who are passionate about research and education.

We have six permanent posts available at Lecturer (Assistant Prof) or Senior Lecturer / Reader (Associate Prof) level, depending on experience.

The positions available are in:
Computer Science and Artificial Intelligence (2 Posts)
Artificial Intelligence and Computational Finance (Reader only)
Computer Science and Electronic Engineering (IoT)
Telecoms Engineering
Electronic Engineering

Closing dates differ slightly depending on the post, but are in very early June.

Preferred starting date: September 1, 2016 (negotiable)

Salary:
Lecturer: £38,896-£46,414 per annum
Reader/Senior Lecturer: £49,230-£55,389 per annum

More details: http://tinyurl.com/cseejobs

• Post-Doc positions in wireless localization and signal processing at Hanyang University, Seoul (Korea). Received: 09/05/2016.

Research Professor & Post Doctoral Fellow Positions

Wireless systems laboratory (WSL) at Hanyang university, Seoul, Korea invites applications for research professor or post-doctoral fellow positions. We are currently funded by various government and industrial research programs, and actively producing high quality research outputs in the area of wireless localization, signal processing, and communications. Applicants should have earned Ph.D. or equivalent.

Two candidates are sought in each of the following areas.

1. Information theory and information-theoretic signal processing research
- We have recently been awarded a prestigious Samsung Future R&D project in the information and communication technology area, entitled “Location-aware information transmission exploiting full 3D spatial resource”. We are seeking an outstanding researcher who can participate in the Samsung R&D project for the information theoretic analysis and algorithm development in the physical layer research including beamforming, beam-tracking/control, compressive sensing but not limited to

2. General topics related with wireless localization and communications
- Wireless positioning systems, ITS signal processing, MIMO signal processing, Hybrid information fusion/filtering, GNSS receiver processing, 5G positioning/communication systems, cooperative localization, and others.

For any interested applicants, please contact and send your CV and 1~2 reference letters to Prof. Sunwoo Kim (--LOGIN--ceaa45e0176433fb7489b683d7799284hanyang[dot]ac[dot]kr ). The position is for 1~2 years with possibilities of renewal. The starting date is immediate starting from June 1, 2016.

Successful candidate(s) will receive a competitive salary (around 35,000 - 42,000 USD/per year)

• 4 PhD Positions in Wireless Sensor Networks, Dependable IoT and Big Data at Mid Sweden University (Sweden). Received: 07/05/2016.

Mid Sweden University, Sweden, has announced four PhD positions in the area of Wireless Sensor Networks, Dependable Internet-of-Things, and Big Data. Full details on how to apply can be found at:

http://www.miun.se/en/university/jobs/phd-students-in-computer-engineering3

http://www.miun.se/en/university/jobs/phd-students-in-computer-engineering2

The positions are available by agreement.

Applicants must hold a Master degree (or equivalent) in computer engineering, computer science, or electrical engineering before they can take on the position. A strong background in Mathematics, Signal Processing, Distributed Systems, Communication theory/systems and programming is a plus. Proficiency in the English language (spoken and written) is required. Applicants should be highly motivated, have initiative and responsibility, be able to work independently and in an interdisciplinary team, should have interest in scientific research, should have commitment to publish research results in top tier conferences/journals and to obtain a doctoral degree.

• PhD Studentships on Information Theory in Artificial Intelligence and Artificial Life at the University of Hertfordshire (UK). Received: 06/05/2016, closing date: 30/05/2016.

We invite applications for PhD studentships in the Adaptive Systems Research Group at the University of Hertfordshire: specifically, studying principled methods (with focus on information theory) in fundamental questions of Artificial Intelligence and Artificial Life, including principles of cognition, and emergence (origin) of life and intelligence from first principles. Questions also include information processing in adaptive, complex and self-organizing systems in general, a research area which has witnessed a dramatic increase of interest in the last years. At the same time, our goal is to adapt these principles for AI applications and robotic devices.

Mathematical tools, with special emphasis on Shannon's information theory are used to characterize and predict hypothesized biologically plausible behaviour and to construct principled AI/robotic models.
Topics of interest include, but are not limited to:

- information-theoretic treatment of the perception-action loop
- theoretically grounded pathways towards self-organization in complex systems
- origin of life and its links to physics
- principled AI/control methods for embodied robotics
- generic models for intrinsic motivation and artificial creativity
- principles underlying biological computation (with opportunities to collaborate with the Biocomputation Research Group)

The prospective candidates should have a very strong first degree, a keen interest in contributing to a new, and quickly expanding research area and an outstanding background in Computer Science, Physics, Mathematics, Statistics or another relevant computational/quantitative discipline. In particular, they should demonstrate excellent programming skills in at least one major computer language. A mathematical/numerical background would be highly 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, enthusiastic and enterprising research environment of the Adaptive Systems Research Group in the School of Computer Science at the University of Hertfordshire; there will also be the opportunity to collaborate with the socSMCs (Socializing Sensorimotor Contingencies, FET Open) and WiMUST (Widely Scalable Mobile Underwater Sonar Technology) EU Horizon 2020 projects, as well as the School's successful humanoid robot RoboCup team, the Bold Hearts.

The school 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 50% 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 direct train to Kings Cross), has convenient access to Stansted, Luton and Heathrow airports, and, via the nearby historic town of St. Albans, also to Gatwick airport.

Successful candidates are eligible for a research studentship award from the University (which includes approximately GBP 14,250 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.

Closing date for application is the 30. May 2016, though excellent applications may be considered after that date.

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 Lorraine Nicholls (--LOGIN--46f9e79b923ae8a14eb8f9518c24619eherts[dot]ac[dot]uk ) or under the following link:

http://www.herts.ac.uk/apply/schools-of-study/computer-science/our-research/the-phd-programme-in-computer-science

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.

• Research Position: Brain Prosthesis Algorithms. Received: 06/05/2016.

Brain Prosthesis Algorithms
Brain science is the new rocket science.

We’re building algorithms and software to correct deficits and enhance cognitive brain function using electrophysiology. We’re not making drugs or creating a brain training game, we’re using a data driven method to create neural prostheses to restore and enhance human cognitive performance. Join us in this delicious engineering opportunity in developing probabilistic kernel models of the hippocampus for a first application in memory.

What we’re looking for: a data & algorithms or machine learning specialist with an exceptional aptitude for regularization and matrix algebra. Potential projects include building classification and regression models for neural spiking data, decoding of the spatio-temporal patterns of spikes with respect to behavior, analyzing large-scale complex neural data, building mixed model of point-process signals, and other data-driven modeling projects. Working with the cross-disciplinary members of our team which incl udes Professors at the University of Southern California (USC), you would be driving a neural system identification modeling platform that is pushing the state-of-the-art in neurocognitive therapeutics.

Self-taught or via formal education, we expect not only that you meet our prerequisites on skills and mission alignment, but that you thrive in a meritocracy of mutual peer review within a first-class team. We expect that you take responsibility for your projects, demonstrate excellence, vision, and diligent but creative invention.

You are the right person for this job if you are:
- Strong in linear algebra/matrices, basis transformations, model order / dimension reduction, numerical methods
- Strong in regression analysis, data analysis, nonlinear mathematical modeling
- Results oriented, driven, flexible, adaptable, and have the courage to take on an ambitious project, because what matters most is to build a flourishing future

We’d also love it if you have skills and experience in:
- Either electrical engineering, biomedical engineering, statistics, computer science, computational neuroscience, or related fields
- Machine learning (e.g. Bayesian, deep learning), time series analysis, pattern recognition, and point-process signal processing is highly preferred
-Neural circuit modeling / exploration (e.g. discovering functional connectivity), control theory, system identification, compartmental neural modeling (e.g. NEURON)
- Python, Matlab, C/C++/C#, R, Linux/Unix

Exceptional team. Full-time. Benefits. Competitive compensation. Ground breaking work.

To apply, please send an email with 1) CV (and list of publications) and 2) contact information for 2-3 professional references to: Dr. Randal A. Koene at --LOGIN--d68e8580df03a6bb609345ec562ba378gmail[dot]com with a subject line “Brain Prosthesis Algorithms application”.

• Postdoc Position in Machine Learning at UCLA (USA). Received: 29/04/2016.

The machine learning group at UCLA, led by Fei Sha (http://web.cs.ucla.edu/~feisha/) and Ameet Talwalkar (http://web.cs.ucla.edu/~ameet/) , has 1 remaining open postdoctoral position. We seek applicants from all areas of machine learning. Candidates must hold a PhD in computer science, statistics or a closely related discipline, and have a strong publication record in top conferences and journals (NIPS, ICML, JMLR, etc.). The expected start date is July, but is also be flexible.

The postdoctoral researcher is to interact and collaborate closely with both faculty and graduate students in our research group, which consists of about 10 students and postdocs. While the research group has a rich set of ongoing research projects, the postdoctoral researcher is also encouraged to be independent and develop his/her own research agenda that complements existing research endeavors. Quality of research is the ultimate criterion.

The UCLA CS department is rapidly growing with core strengths in machine learning, artificial intelligence, bioinformatics, data science, computer vision and robotics. UCLA provides a thriving research environment with interdisciplinary activities between these areas and others, and with cross-cutting collaborations among various departments and schools on campus.

The campus is located on the west side of Los Angeles, with convenient access to beaches / mountains / national parks and a fantastic assortment of cultural diversity and activities throughout the metropolitan LA area. UCLA is also in close proximity to many other renowned academic institutions such as Caltech, USC, and other UC campuses.

Interested candidates should email Fei Sha (--LOGIN--faab8b95ba5c3d1a1b26e3acb11db3a4cs[dot]ucla[dot]edu ) and Ameet Talwalkar (--LOGIN--c38449b1a335fe365c26ab32c93a4d88cs[dot]ucla[dot]edu ) with their CVs, research statements and a list of reference letter writers.

• Fully funded PhD position in Cognitive and Brain Sciences at the Italian Institute of Technology (Italy). Received: 19/04/2016, deadline: 10/05/2016.

We are seeking candidates for a PhD position at the Italian Institute of Technology’s Neural Coding Laboratory (https://www.iit.it/lines/neural-computation) directed by Stefano Panzeri and located in Rovereto (Trento), Italy. IIT collaborates with Università degli studi di Trento and finances these positions at the PhD course in Cognitive and Brain Sciences.

Interested candidates are invited to informally approach as soon as possible Prof. Stefano Panzeri (--LOGIN--63516459497bf0dd2f8e3e83b1afcfc7iit[dot]it ) by emailing their CV and briefly explaining their interest in this position. In order to formally apply to the PhD Position, candidates will then need to refer to the call published by Università degli Studi di Trento and available at the following link: http://web.unitn.it/en/drcimec/10140/admission-doctoral-school-cognitive-and-brain-sciences

Deadline for formal application is 10 may 2016

Topic description: Understanding how populations of neurons encode and transmit information is a prerequisite for understanding brain functions such as perception. Progresses in neural recordings technology enable scientists to monitor the activity of larger and larger number of neurons, but it is still unclear how to analyze these data to understand how groups of neurons work together. The successful candidate will develop and use tools for the analysis of large-scale simultaneous recordings of the spiking activity of cells in the cortex to understand how populations of neurons carry information.

The successful candidate will have the opportunity to both develop new advanced methods and to analyze experimental data in collaboration with many experimental neuroscience laboratories. The applicant should have a strong background in numerate sciences, and have a strong propensity for interdisciplinary research. No extensive previous experience in neuroscience is needed. However, a keen interest in understanding the brain is essential.

• Postdoctoral and Developer positions: Large-scale network simulator development at the Norwegian University of Life Sciences (Norway). Received: 18/04/2016.

The computational neuroscience group at the Norwegian University of Life Sciences is currently recruiting one postdoctoral-level researcher and one scientific software developer as part of our large-scale neuronal network simulator development efforts in the Human Brain Project (HBP).

Our group is responsible for four tasks in the next phase of the HBP:

- Massively parallel methods for network construction from rules and data
- Whole brain level in silico instrumentation, services and apps
- Models of brain signals
- Simulator NEST as a Service

Your work will focus on the first two tasks, researching concepts required to compactly specify brain-scale neuronal networks so that they are easy for the neuroscientist to review, and at the same time can be instantiated efficiently in a massively parallel fashion. You will further work on concepts that will allow domain specialists to configure complete in silico experiments on point-neuron-based whole-brain models by connecting stimulation and recording devices to specific neuron populations.

We will collaborate closely with colleagues within the HBP, especially at the Institute for Neuroscience and Medicine 6, Research Center Jülich (FZJ), at the Swiss Federal Institute of Technology in Lausanne (EPFL), and at University of Oslo.

Our group is a core member of the NEST Initiative. We have access to some of the world's largest supercomputers and aim to develop simulation technology that will scale to the exascale.

Preferred starting date for the positions is 1 August 2016 for a period of 20 months (until 31 March 2018).

For details on the positions, please see the full advertisements at

https://www.jobbnorge.no/ledige-stillinger/stilling/124473/researcher-in-neuroinformatics-refno-16-01964

https://www.jobbnorge.no/ledige-stillinger/stilling/124558/head-engineer-senior-engineer-in-neuroinformatics-refno-16-01963

where you also can submit your application. For general information about working in Norway, please see

https://www.nav.no/workinnorway/

Please feel free to contact --LOGIN--090e5c24ed6032f7577c9a05bc133b09nmbu[dot]no if you are interested in the positions!

• Postdoc position in machine learning at Carleton College (USA). Received: 17/04/2016.

Opening: 1-year postdoctoral research and teaching position at Carleton College.

This position is funded by an NSF Research on Education and Learning (REAL) grant entitled “Diagnosing misconceptions about algebra using Bayesian inverse reinforcement learning”. The project is joint work between Anna Rafferty at Carleton College and Tom Griffiths at University of California, Berkeley. The position is primarily focused on research, with the opportunity to gain teaching experience as well.

The research project focuses on using machine learning techniques to better understand and support algebraic problem solving. The project is interdisciplinary, with parts focused on computational modeling, machine learning, and behavioral experiments. As part of this project, we have developed a website for learners to practice algebra problem solving, and this website is also used for data collection and testing of proposed models. Responsibilities for the position may include processing traces of learning behavior from the website; developing and testing ways of sequencing problems to most effectively diagnose learner understanding and promote learning; proposing improvements to the online learning environment; and using machine learning and statistics to identify important learner behaviors and their association with cognitive and affective outcomes.

Candidates trained in cognitive science, computer science, cognitive psychology, learning science, educational technology, artificial intelligence, and other related fields are encouraged to apply; those who expect to have completed a Ph.D. by Fall 2016 are welcome to apply. Previous experience with computer programming (e.g., Java, Python, Matlab, R, or other languages) is necessary. Prior experience working with educational data and/or digital learning environments is desirable.

The appointment is for one year, and salary is commensurate with experience and relevant research. The position is based in Northfield, Minnesota at Carleton College and the successful candidate will be working with Anna Rafferty in computer science. Carleton College is an undergraduate liberal arts college. The position has teaching responsibilities of 1-2 10-week classes total over the course of the year; exact number of classes is negotiable.

To apply, please send a cover letter, CV, and contact information for three references to Anna Rafferty via email (--LOGIN--1da9422a6e3fe625f664a6583a15fce3carleton[dot]edu ). Application review will be on a rolling basis, with priority to applications received by May 1.

• PhD Position at LIRMM, Montpellier (France). Received: 13/04/2016.

PhD Position at LIRMM (Montpellier, France) http://www.lirmm.fr/lirmm_eng

Title: Approximate Computing and Approximate Circuits: Characterization, Test and Reliability

Description:

Approximate computing has recently emerged as a promising approach to energy-efficient design of conventional digital systems. Approximate computing relies on the ability of many systems and applications (e.g. image processing, data mining, etc.) to tolerate some loss of quality or optimality in the computed result. By relaxing the need for fully precise or completely deterministic operations, approximate computing techniques allow substantially improved energy efficiency.

In fact, it is increasingly energy-inefficient to ensure fault-free computation as semiconductor technology advances to nanometer regime. This is because circuits are more prone to parameter variations and faults at advanced technology node with low supply voltage and ever-increasing integration density. Consequently, conventional fault-free computing requires adding redundancies at various levels of design hierarchy for variations tolerance and errors correction, causing significant energy, performance and area overhead. Approximate computing may help to avoid such issues.

On the other side, an alternative to approximate computing that employs deterministic designs to produce imprecise results is to use solutions that involve rethinking of how hardware needs to be designed to this purpose. These solutions consist in producing approximate hardware design leading to so-called “approximate circuits”. In this case, many issues, among which test, debug, reliability, etc. have to be considered.

The goals of this Ph.D. thesis are threefold:

- In the case of conventional circuits, it is important to characterize each design in terms of acceptable loss of quality (or imprecision-tolerance) and decide whether or not such a design can be considered as a new structurally-unmodified approximate circuit (or has to be definitively rejected after manufacturing). The first goal of this PhD thesis is to propose approximate computing solutions to deal with such problem.

- When approximate circuits are considered, e.g. approximate arithmetic circuits like adders, they are prone to manufacturing defects (as conventional circuits). The second goal of this PhD thesis is to propose innovative test (structural and functional) solutions for this type of circuits.

- During lifetime, these approximate circuits can lead to reliability issues due to, e.g. aging, impact of environment, etc. The third goal of this PhD thesis is to propose novel solutions for reliability analysis (through, e.g. fault injection campaigns) as well as new solutions for reliability enhancement (e.g. fault tolerant techniques) of this type of circuits.

Host Labs:
LIRMM – Montpellier, France
LAFISI – International Associated Laboratory (LIA) between LIRMM and Politecnico di Torino

Starting Date / Duration:
October 2016/ 3 years

Contacts:
Alberto BOSIO, --LOGIN--f0955511a9ca04da90d4062cd07f1588lirmm[dot]fr , Tel. +33 467 14 98 12
Patrick GIRARD, --LOGIN--8ee26e69844188ca1054a45d4a11d287lirmm[dot]fr , Tel. +33 467 41 86 29

• Post-doctoral research position in electric power systems reliability management at the University of Liège (Belgium). Received: 10/04/2016, deadline: 15/05/2016.

The University of Liège invites applications for a post-doctoral research position in electric power systems reliability management.

The work will be carried out within the Department of Electrical Engineering and Computer Science - Institut Montefiore (see http://www.montefiore.ulg.ac.be/). It will target the design of probabilistic simulation and optimization frameworks for analyzing the impact of power systems (un)reliability on electric power producers, in collaboration with Electrabel/Engie.

The successful candidate should be interested in power generation and power systems analysis, and be experienced in optimization under uncertainty and/or in machine learning. He should also have a strong motivation to bridge the gap between theory and practice.

The starting date is at the latest in September 2016. The initial contract will be for 1 year, with a possibility to extend it to 2 years.

Applications should be sent by email to Prof. Louis WEHENKEL (--LOGIN--4282d4731870ae40fc96937b9aa3a135ulg[dot]ac[dot]be ), from whom further information may be requested.

Please send us a detailed CV, and provide a motivation letter mentioning your experience in relation to this position and your long-term research project.

The deadline for application is May 15, 2016.

• Faculty positions available at Sichuan University (China). Received: 06/04/2016.

There are some faculty positions available at the newly established Neuromorphic Computing Research Center (NCRC) at College of Computer Science, Sichuan University, China (http://nc-rc.org/).

Candidates with Ph.D. degree in computer science, electronics, mathematics, physics or robotics or a close related area are encouraged to apply. Idea candidates should have solid background and strong motivation in one of the areas: (1) computing theories including neuromorphic computing, cognitive computing, spiking neural networks, machine/deep learning, (2) neuromorphic circuits or sensors design, FPGA or VLSI, etc, (3) robotics cognition, sensing, mapping, navigation and behavior learning, etc. The positions are open until filled.

Interested applicants please send CV or any inquiry to Dr. Huajin Tang (--LOGIN--210a1cb5858ae3e4131731d91aef3f8bscu[dot]edu[dot]cn ).

• Academic Position in Machine Learning at the University of Sydney (Australia). Received: 03/04/2016, closing date: 22/04/2016.

Academics with a background in Machine Learning applied to Audio, Speech and Language Processing encouraged to apply.

Faculty of Engineering and Information Technologies

Reference number: 294/0216

Teaching and research position - Opportunity to enhance and develop your academic profile

Utilise your expertise to enhance research-led teaching in coursework and research programs.

Full-time continuing position, remuneration $135k – $160kp.a., leave loading and up to 17% superannuation

The University of Sydney is Australias first university and has an outstanding global reputation for academic and research excellence. It employs over 7500 permanent staff, supporting over 52,000 students.

The Faculty of Engineering and Information Technologies at the University of Sydney is consistently ranked in the top 50 engineering and technology universities in the world. The School of Electrical and Information Engineering (EIE) has a strong and proud tradition in contributing to world class research and teaching in the fields of electrical and information engineering throughout its long history. Established in 1883, School counts some of the most eminent Australian industry leaders and engineering professionals amongst its Alumni.

The School’s research tradition is built upon strong disciplines supported by faculties and schools, cross-disciplinary initiatives, and commitments to rigour and depth in research and research training. EIE has a reputation for the quality of its graduates, innovation in its undergraduate curriculum and for the strength of its research and postgraduate teaching programs. Major research outcomes have been achieved in the fields of software, bio-electronics, computer, photonics, power and telecommunication engineering.

We are seeking to appoint a Lecturer or Senior Lecturer with a strong track record of research and teaching in Electrical Engineering with specialized focus on Computer Engineering, Software Engineering, Electronics Engineering, Digital Systems or a closely related discipline.

Essential Qualifications:

A PhD in Electrical Engineering, Computer Engineering, Software Engineering, Electronics Engineering, Digital Systems or a closely related discipline.

Essential Experience/Skills/Knowledge:

Demonstrated track record in two of the key research and teaching areas in Computer Engineering, Software Engineering, Biomedical Engineering, Electronics or Digital Systems.

Established research track record including research publications in top journals and conferences

Track record of teaching excellence and a strong commitment to teaching and learning, including experience in lecturing and curriculum development.

Demonstrated capacity to work independently and collaboratively.

Track record of obtaining research funding and/or supervising a research team.

Excellent communication and interpersonal skills.

Desirable Criteria:

Strong international engagement (for example through memberships on program committees and editorial boards)

Demonstrated ability to engage with industry

Track record in interdisciplinary research

Academic and/or Industry experience in one or more of the following areas: FPGA design, embedded systems, integrated circuit design, acoustic engineering, sensor arrays and super-resolution imaging, signal processing machine learning, electrical impedance tomography.

The successful candidate will be expected to build research collaborations within the School, the faculty, the University, industry, and beyond, and to apply for competitive research funding to develop their research area.

To be considered for this position it is essential that you address the online selection criteria. For guidance on how to apply visit: http://sydney.nga.net.au/cp/index.cfm?event=jobs.viewJobDetailsNewApplication&AccessibilityMode=true&jobid=DC35D770-B3D5-6C62-4031-91B64D17523B

General enquiries can be directed to Dan Kuhner on 02 8627 0934 or at --LOGIN--c1a22ca0107517fcdd4a2167c096b278sydney[dot]edu[dot]au

CLOSING DATE: 11:30pm 22 April 2016

The University is an equal opportunity employer committed to equity, diversity and social inclusion. Applications from equity target groups, including women and people with disabilities are encouraged. As the University of Sydney has established a scheme to increase the number of Aboriginal and Torres Strait Islander staff employed across the institution, applications from people of Aboriginal and Torres Strait Islander descent are also encouraged.

The University reserves the right not to proceed with any appointment.

• ERCIM “Alain Bensoussan” Fellowship Programme. Received: 02/04/2016, deadline: 30/04/2016.

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

Deadline for applications: 30 April 2016.

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 no later than 1 October 2016.

• Postdoc positions in Machine Learning & Social Media at MIT (USA). Received: 30/03/2016.

Machine learning has recently enabled substantial progress towards AI. These developments have ignited a growth in concerns from the general public about AI and its potential impact in our daily lives. This attention on the role of intelligent machines motivates a research agenda towards more transparent, understandable, and trustworthy machine learning systems. In the long term, for sophisticated machine learning systems to have positive societal impact, it is necessary to develop:

- Transparent models that can not only produce predictions, but can also provide an explanation for their predictions.
- Understandable models that can converse, maintain a dialogue with humans and answer questions.
- Trustworthy models that can provide a meaningful measure of its confidence in the predictions they make.

Professors Iyad Rahwan and Deb Roy from the MIT Media Lab are seeking two motivated and talented candidates for postdocs dedicated to these research topics. The candidates will also be interacting directly with Ryan Adams and Hugo Larochelle from Twitter Cortex.

The candidates should have or be near the completion of a PhD, with a demonstrable record of strong publications in the field of machine learning and an interest in the human dimension of applied machine learning. The ideal candidate will have expertise in large scale applications of deep learning and/or Bayesian methods.

To apply, send your CV, the names and contact details of at least two references, as well as a letter of intent in which you motivate your interest in this position and provide a brief description of research ideas you'd like to explore during your postdoc.

Application packages must be submitted to: --LOGIN--6d0cb32ba51c732ae669e4cb05a61266media[dot]mit[dot]edu

• PhD position in computer vision applications to neural image analysis at the University of Heidelberg (Germany). Received: 29/03/2016.

A PhD student position is available in the Image Analysis and Learning group of the Heidelberg Collaboratory for Image Processing, University of Heidelberg (http://hciweb.iwr.uni-heidelberg.de/mip). We are looking for highly motivated candidates, interested in developing machine learning methods for reconstructing neural circuits from high resolution image volumes.

A strong first degree in a computational science field or mathematics and programming experience are required for this position.

More details can be found at http://hciweb.iwr.uni-heidelberg.de/node/5992.

• Summer intern position in neuroimaging analysis at Siemens Healthcare, Princeton NJ (USA). Received: 24/03/2016.

Our team at Medical Imaging Technologies, Siemens Healthcare, in Princeton NJ, has a summer intern position, working in a project investigating the representation of semantic information in the brain and how it is used in language. Our goal is to build a computational model of the process of sentence comprehension in a text passage, using text corpora and other linguistic resources, and validate it using behavioral and brain imaging data (primarily, functional MRI).

The main role of the intern will be to help in building forward models of language processing (from stimuli to mental representations to imaging data). Examples of tasks you might be asked to do:

- run various types of multivariate pattern analyses (e.g. classification, regression, representational similarity), as well as GLMs
- implement and benchmark new methods for decoding complex information (e.g. distributed semantic representations) from fMRI data
- process fMRI data and help extend our existing processing pipeline (e.g. to do hyper-alignment of subjects)

It is an unusual position in that you would be doing all of these tasks in close cooperation with other team members who are developing the language models and decoding approaches, and with colleagues who are designing and running complex multi-session imaging experiments. This would provide you with an opportunity to learn about all of these aspects of the work. We will also be delivering a system to the funding agency, so this is a fast-paced project with multiple opportunities for publication. This work is being carried out in collaboration with researchers at MIT, MGH and Princeton University and funded by the IARPA Knowledge Representation in Neural Systems program ( http://www.iarpa.gov/index.php/research-programs/krns ).

Requirements:

- current student in a graduate program in Psychology/Cognitive Neuroscience/Computer Science/Machine Learning
- experience developing software in MATLAB or Python - experience in processing fMRI data and running GLMs (with any of FSL, AFNI, SPM, FreeSurfer, etc)
- experience with PyMVPA and/or scikit-learn is highly desirable, though not strictly necessary
- availability for at least 3 months (a longer period is possible, and the timeline is flexible)

If interested, please send your resume to --LOGIN--022df790c4dc6fdfa009a80e8a2c3985siemens[dot]com (your email can serve as a cover letter, if there is anything you would like to elaborate on).

• Lecturer/Senior Lecturer/Reader/Professor in Data Science and/or Intelligent Autonomous Systems at Queen's University Belfast (UK). Received: 24/03/2016, closing date: 18/04/2016.

Queen's University Belfast - School of Electronics, Electrical Engineering and Computer Science

http://www.jobs.ac.uk/job/ANH172/lecturer-senior-lecturer-reader-professor-in-data-science-and-intelligent-autonomous-systems/

Contract Type: Permanent
Anticipated interview date: May/June 2016
Closing date: Monday 18 April 2016

We seek to recruit a highly qualified candidate for an academic post to commence in 2016 or 2017 who can build and grow innovative, mission-led research programmes. The candidate should also demonstrate an ability to inspire students and facilitate motivational learning within core undergraduate and specialist postgraduate curricula.

The School is undergoing rapid expansion, as part of major investment from the Faculty of Engineering and Physical Sciences (EPS).
Delivering against Queen's Vision2020 and beyond, EPS focuses on solving Global Challenges by enabling new forms of interdisciplinary research and education. The investment of EPS in EEECS capitalises on the establishment of the Institute of Electronics, Communication and Information Technology (ECIT), one of Queens four Global Research Institutes (GRIs). ECIT was awarded a 2015 Queen's Anniversary Prize for Further and Higher Education and is recognised for world-leading research excellence. Further EPS investment includes the establishment of a Pioneer Research Programme (PRP) on Intelligent Autonomous Manufacturing Systems (i-AMS), to support research with high impact potential in this area.

We are seeking a candidate who can enhance ECIT's international reputation in the following key disciplines: Data Science & Intelligent Autonomous Systems.

An opportunity is available at Lecturer, Senior Lecturer, Reader or Professor level. The successful candidate will benefit from additional resources such as studentships, engineering and commercial support and will have access to state of the art facilities, including a transformative £14 million Computer Science building opening in September 2016.

Further details on our key disciplines and other candidate information are available at: http://www.ecit.qub.ac.uk/Aboutus/Recruitment/

Informal enquiries may be directed to Professor Dimitrios S. Nikolopoulos, Head of School of EEECS, email: --LOGIN--78c445fac0de6845c5d72f18a0f32458qub[dot]ac[dot]uk

Anticipated interview date: May/June 2016
Closing date: Monday 18 April 2016

Apply online at www.qub.ac.uk/jobs. For further information or assistance contact the Personnel Department, Queen's University Belfast, BT7 1NN. Telephone (028) 9097 3044 or email on --LOGIN--9c9daef84c9f5f85f4bc5b1574b41da5qub[dot]ac[dot]uk .

The University is committed to equality of opportunity and to selection on merit. It therefore welcomes applications from all sections of society and particularly welcomes applications from people with a disability.

• Paid Summer Visiting PhD Student Position in Machine Learning at Boston College (USA). Received: 23/03/2016.

Bento’s lab in the Computer Science Department at Boston College is looking for a talented PhD student for an internship on a multi-institution bioinformatics project involving big data, machine learning and a variety of “omics” techniques for the summer of 2016.

Ideal qualifications (not all required but the greater the overlap the better)

• Programming skills
- Python, C/C++, Matlab

• Research area
- Machine learning, data mining, AI, statistics o Active learning, optimal experiment design o Bio-mathematics

• Need to be flexible, learn fast, and be creative

Job details
• Full time, on site, during the duration of the internship
• Start and end date flexible; preferably early May 2016 to mid September 2016

To apply, send a CV and the contact information for 2 references to Prof. José Bento at
--LOGIN--d651e03b4422cbc0f7de3c336e5b623ejbento[dot]info

Also check the two announcements optimization/machine learning at
http://www.jbento.info/visiting20162017.pdf

• PhD student position in machine learning and signal processing at University of Bremen (Germany). Received: 22/03/2016.

At the Cognitive Systems Lab (headed by Prof. Dr. Tanja Schultz) at the University of Bremen, Germany, we currently have an open position for a research assistant/PhD student (36 months, fully funded at 100% on the German employee scale TV-L 13). The project in the area of medical engineering aims at the development of an intelligent, sensor-based knee bandage. The successful applicant will work on machine learning and signal processing techniques for the classification of postures, activities and physical strain from IMU and EMG data, with application to human-computer interfaces. The project involves collaboration with partners from academia and industry. The Cognitive Systems Lab offers a vibrant and friendly research environment, a fully-equipped data recording laboratory, and ample experience in machine learning, signal processing and human-computer interaction.

For more details, see the full description in English at: http://csl.uni-bremen.de/cms/en/8-news/136-promotionsstelle-zu-vergeben-2.html

• Postdoctoral Positions in neuroimaging analysis at the University of North Carolina at Chapel Hill (USA). Received: 21/03/2016.

Postdoctoral research associate positions are available at the Infant Brain Mapping Lab in the Department of Radiology and Biomedical Research Imaging Center (BRIC) at the University of North Carolina at Chapel Hill. Our current focuses are to better understand the dynamic and critical early brain development in health and disease, via multimodal neuroimaging analysis. The successful candidate will support our efforts either in advancing neuroimaging analysis technologies or in neuroscience applications. We are seeking highly motivated individuals who have extensive research experience in neuroimaging analysis (e.g., structural, diffusion or functional MRI) and demonstrated academic excellence, including publications in first-class journals and conferences. The candidate for Postdoctoral Research Associate should have a Ph.D. (or equivalent) in Neuroscience, Computer Science, Applied Mathematics/Statistics, Electrical Engineering, Biomedical Engineering, or related fields. Good command of programming tools including Matlab, C/C++, Linux, and scripting are necessary to carry out the research work in this group.

The successful candidate will be part of a diverse group including neuroscientists, radiologists, psychologists, physicists, biostatistician, and computer scientists, and will build upon the group's extensive foundation on neuroimaging analysis. If interested, please email resume to Dr. Gang Li (--LOGIN--32879ed7af862718a080cf0045e11c8fmed[dot]unc[dot]edu ).

• Postdoctoral Position in Computational Neuroscience/Biophysical Modeling at Rice University and Baylor College of Medicine (USA). Received: 21/03/2016, deadline: 22/04/2016.

Computational and Applied Mathematics
Rice University

and

Department of Neuroscience
Baylor College of Medicine
Houston, Texas

A postdoctoral position in computational neuroscience is available at Rice University and Baylor College of Medicine, in the laboratories of Steven Cox (Rice University) and Fabrizio Gabbiani (Baylor College of Medicine).

Our research focuses on understanding the biophysical mechanisms underlying the implementation of non-linear operations by neurons and neuronal circuits. The postdoctoral research associate will model the cellular and network mechanisms underlying collision avoidance behaviors using advanced mathematical techniques and computer simulations. Modeling will be supported by a large data set of experimental data gathered using electrophysiology, pharmacology, calcium imaging, high-speed video imaging and telemetry.

We are looking for a highly motivated candidate with a strong background in computational modeling of single neurons and neuronal circuits. Experience with Matlab and NEURON is required. The position is available for one year, with possibility of renewal for a second year, contingent of performance and funding availability. Salary will be commensurate with level of experience, based on an NIH scale. Applications will be accepted until April 22, 2016.

Our labs are located at Rice University and in the adjacent Texas Medical Center, close to many of Houston's cultural and outdoor amenities. For further information about Rice University, the Texas Medical Center and Houston please visit

http://www.explore.rice.edu/explore/General_Information.asp
or
https://www.bcm.edu/about-us/life-in-houston

For further informal inquiries and to apply, please send CV, the names and full contact information of two to three references, as well as one to two representative publications to --LOGIN--e8a064ea0fe266d5f80a6ca623727c37rice[dot]edu and --LOGIN--ecf87435d1d571f6a0467073fbff6023bcm[dot]edu .

Equal Opportunity Employer: Females / Minorities / Veterans / Disabled / Sexual Orientation / Gender Identity.

• PhD studentship in computational/cognitive neuroscience at Durham University (UK). Received: 17/03/2016.

We have a PhD studentship available with full funding (tuition + stipend) for a project doing computational modeling of human perception, using parametric and non-parametric Bayesian statistical inference methods (PI Dr. Ulrik Beierholm). The funding is only available for EU citizens (sorry!), with starting date October 2016.

The studentship will be in the Department of Psychology at Durham University, UK, but with potential for interactions with colleagues in Computer Science, Economics etc.

The applicant should have a Master's degree (or similar) in a related topic (neuroscience, psychology, computer science, statistics etc.) with a minimum of a UK upper second (2:1) or an average grade of B for international students.
The applicant should also have some programming experience (preferably Matlab or Python), but while the project will involve some experimental work (mainly psychophysics) the applicant does not need any previous experimental experience.

The Department offers an exciting and friendly multidisciplinary research environment. The department has excellent technical facilities, including a 3T MRI scanner, EEG labs, laboratories for brain stimulation (TMS, tdCS), motion analysis systems (Vicon, Optitrack), Psychophysiological Research (Biopac), and behavioural experiments, including multiple eye trackers and an acoustically controlled testing chamber. There is also access to the Durham HPC cluster (Hamilton) for numerical simulations.

Durham is a beautiful city in the Northeast of England, home to Durham Cathedral, which is part of UNESCO Durham World Heritage Site. Durham University is consistently ranked among the top 100 Universities worldwide (QS World Rankings 2014).

If interested email the PI (--LOGIN--9a5098b1173a4c44be183904f80483a0durham[dot]ac[dot]uk ) with any questions.
Applications are made through: https://www.dur.ac.uk/psychology/postgraduate/how_to_apply/
Further information about doing a PhD at Durham can be found here: https://www.dur.ac.uk/psychology/postgraduate/phd/

Applications will be processed as they arrive, but we expect to reach a decision before end of April.

• Fully funded postdoctoral position in Machine Learning and Computational Biology at Royal Holloway University of London (UK). Received: 15/03/2016, deadline: 10/04/2016.

Applications are invited for a postdoctoral position at the Department of Computer Science of Royal Holloway, University of London.

The successful candidate will work with Prof Alberto Paccanaro on different projects in the area of Systems Biology and Network Medicine -- please see http://www.paccanarolab.org/ for a description of the research carried out in the lab. Candidates should have a PhD degree in a relevant quantitative field (e.g. Computer Science, Statistics, Engineering), a strong background in machine learning and a keen interest in computational biology. Previous experience in the area of graphical models would be an asset for this position.

The successful candidate will have the opportunity to collaborate with members of the interdisciplinary Centre for Systems and Synthetic Biology (Computer Science and Biological Sciences) at Royal Holloway and collaborators at Imperial College, University of Tennessee and Yale University. The post is therefore ideal for someone with a computer science or maths background who is looking to move into computational biology.

This post is based in the Department of Computer Science in Egham, Surrey where the College is situated in a beautiful, leafy campus near to Windsor Great Park and within commuting distance from London (see http://www.royalholloway.ac.uk/).

This is a full time post, available immediately, or as soon as possible thereafter for a fixed term period of 30 months.
The salary is in the range £33,789 to £39,902 per annum inclusive of London Allowance.
The position is funded by a joint BBSRC/NSF grant.
To apply go to: https://jobs.royalholloway.ac.uk/vacancy.aspx?ref=0316-094

For an informal discussion about the post, please contact Prof Alberto Paccanaro, --LOGIN--0a9d57db458c51195c4e5f334cbe4ea0cs[dot]rhul[dot]ac[dot]uk .
The Human Resources Department can be contacted with queries by email at: --LOGIN--96fd5c4094c362d8056506f12ba593b6rhul[dot]ac[dot]uk .
Please quote the reference: 0316-094.

Closing Date: Midnight, 10th April 2016.

Interview Date: To be confirmed.

The College is committed to equality and diversity, and encourages applications from all sections of the community.

• PhD student position available in computational modeling at Newcastle University (UK). Received: 14/03/2016.

Applications for a fully-funded three-year PhD student position at the Institute of Neuroscience at Newcastle University, Newcastle upon Tyne (UK). The successful candidate will work under the supervision of Dr Roman Bauer and Dr Evelyne Sernagor, and do computational modeling as well as wet-lab work on neuronal development in the retina. There is also the possibility for the student to be involved in a collaborative project with CERN openlab and Intel as a project partner.

Applicants should be highly motivated and should have a strong background in physics, computer science, neuroscience or a related disciplince. Good computational skills and experience in a major programing language such as C++ or Java are required.

The Institute of Neuroscience (IoN) is a well-established research institute integrating over 75 principal investigators, and was ranked in UK top 10 for overall quality of research. The university’s Faculty of Medical Sciences, of which IoN is part of, is ranked in the top 50 worldwide for biomedical and health sciences in the Leiden Ranking.

More details on this job posting can be found here:
http://www.ncl.ac.uk/postgraduate/funding/sources/allstudents/12mrea.html

• PhD studentships in Computational Neuroscience and Biomedical Engineering at Keele University (UK). Received: 14/03/2016, closing date: 15/04/2016.

Fully Funded Computer Science PhD Studentships at Keele University

The Faculty of Natural Sciences at Keele University is pleased to announce up to 7 fully-funded PhD studentships for UK/EU students for start in September/October 2016, as well as opportunities for part-funded PhD studentships for suitable candidates.

Applications are invited from high quality prospective doctoral candidates in Computer Science and other disciplines. We welcome candidates with a good fit to our research specialisms and the expertise of our academic staff. Candidates are expected to have a 1st class or 2.1 class undergraduate degree or a Distinction level MSc degree in a relevant subject (or equivalent in the case of candidates from other EU countries).

One of our focus areas in Computer Science is Computational Neuroscience and Biomedical Engineering. A selection of topics of interests in this area is provided below.

Computational Neuroscience and Biomedical Engineering: computational modelling of the stomatogastric nervous system; bio-inspired robot control; computational modelling of cognitive behaviour in bees; neuro-control of evolving artificial creatures; neuro-control of robotic swarms; computational analysis of neuroimaging and multi-electrode array data; human and animal behaviour analysis using accelerometer data; virtual reality and robotics for rehabilitation engineering; analysis and modelling of the impact of neuromodulators in biological neural systems; big data analytics and neuro-degenerative disorders.

Funding

Each fully-funded studentship includes an annual tax-free stipend at RCUK rate plus tuition fees (currently £14,296 for stipend and £4,121 for fees). The funding is available for 3 years. Each studentship has an associated research expense budget (£2,000 – £3,000 per year, depending on the nature of the project, to cover project related consumables and conference travel).

Opportunities are also available for candidates from the UK/EU and overseas who can demonstrate that they can fully or partially self-fund. If you are interested in this route, please contact Professor Peter Andras at --LOGIN--57bec2db60ec5607bee5a74c71043d34keele[dot]ac[dot]uk for a discussion.

Closing Date

The closing date for applications is Friday 15 April 2016

Full details and application procedures can be found on the website:

http://www.keele.ac.uk/pgresearch/howtoapply/

For the purpose of research proposal applicants should submit an outline of their research interests or of a particular research project that the applicant would like to work on (max. 2 pages).

Please send any questions by email to Lisa Cartlidge (--LOGIN--fed77bc05198c7ba4e63ad871f6ea233keele[dot]ac[dot]uk ) or Ann Billington (--LOGIN--f016e8a8fcafe6c31d2249d20c2ccefekeele[dot]ac[dot]uk ).

• Postdoctoral Position in Computational Neuroscience/Biophysical Modeling at Rice University and Baylor College of Medicine, Houston, Texas (USA). Received: 14/03/2016, deadline: 15/04/2016.

Postdoctoral Position in Computational Neuroscience/Biophysical Modeling

Computational and Applied Mathematics
Rice University

and

Department of Neuroscience
Baylor College of Medicine
Houston, Texas

A postdoctoral position in computational neuroscience is available at Rice University and Baylor College of Medicine, in the laboratories of Steven Cox (Rice University) and Fabrizio Gabbiani (Baylor College of Medicine).

Our research focuses on understanding the biophysical mechanisms underlying the implementation of non-linear operations by neurons and neuronal circuits. The postdoctoral research associate will model the cellular and network mechanisms underlying collision avoidance behaviors using advanced mathematical techniques and computer simulations. Modeling will be supported by a large data set of experimental data gathered using electrophysiology, pharmacology, calcium imaging, high-speed video imaging and telemetry.

We are looking for a highly motivated candidate with a strong background in computational modeling of single neurons and neuronal circuits. Experience with Matlab and NEURON is required. The position is available for one year, with possibility of renewal for a second year, contingent of performance and funding availability. Salary will be commensurate with level of experience, based on an NIH scale. Applications will be accepted until April 15, 2016.

Our labs are located at Rice University and in the adjacent Texas Medical Center, close to many of Houston's cultural and outdoor amenities. For further information about Rice University, the Texas Medical Center and Houston please visit

http://www.explore.rice.edu/explore/General_Information.asp
or
https://www.bcm.edu/about-us/life-in-houston

For further informal inquiries and to apply, please send CV, the names and full contact information of two to three references, as well as one to two representative publications to --LOGIN--e8a064ea0fe266d5f80a6ca623727c37rice[dot]edu and --LOGIN--ecf87435d1d571f6a0467073fbff6023bcm[dot]edu .

Equal Opportunity Employer: Females / Minorities / Veterans/ Disabled / Sexual Orientation / Gender Identity.

• Open PhD position in embedded system design and performance evaluationat the University of Nantes (France). Received: 14/03/2016, deadline: 14/05/2016.

The IETR Lab at the University of Nantes, France, opens a position for a PhD candidate. Our research group investigates novel approaches for the design of heterogeneous multi-core architectures. Currently, we have an open PhD position in our research group.

Subject area:
Embedded system design and performance evaluation.

Subject description:
The subject area includes architecture, design methods, modeling and prototyping for embedded systems.

Competence in discrete event modeling and simulation of hardware/software architectures, a good understanding and skilled usage of the design languages C/C++, SystemC is required.

Also, formal methods of analysis and performance evaluation of digital architectures are expected.

The applications should be submitted before May 15, 2016.

Questions can be directed to --LOGIN--ac48f340e81f54ae8b9dec4fafd02b04univ-nantes[dot]fr

• PhD Summer Visiting Research Position in Optimization and Machine Learning at Boston College (USA). Received: 09/03/2016.

Bento's lab in the computer science department at Boston College is seeking excellent PhD students to work on a paid internship during this summer, May-Sep 2016.

The project will involve research on Distributed Optimization Algorithms and Machine Learning.

To apply, please check
http://www.jbento.info/visiting20162017.pdf

• Postdoc Position in Machine Learning at UCLA (USA). Received: 09/03/2016.

The machine learning group at UCLA, led by Fei Sha (http://web.cs.ucla.edu/~feisha/) and Ameet Talwalkar (http://web.cs.ucla.edu/~ameet/), has 1-2 open postdoctoral positions. We seek applicants from all areas of machine learning. Candidates must hold a PhD in computer science, statistics or a closely related discipline, and have a strong publication record in top conferences and journals (NIPS, ICML, JMLR, etc.). The expected start date is late Spring and can be flexible.

The postdoctoral researcher is to interact and collaborate closely with both faculty and graduate students in the research group. While the research group has a rich set of ongoing research projects, the postdoctoral researcher is also encouraged to be independent and develop his/her own research agenda that complements existing research endeavors. Quality of research is the ultimate criterion.

The UCLA CS department is rapidly growing with core strengths in machine learning, artificial intelligence, bioinformatics, data science, computer vision and robotics. UCLA provides a thriving research environment with interdisciplinary activities between these areas and others, and with cross-cutting collaborations among various departments and schools on campus.

The campus is located on the west side of Los Angeles, with convenient access to beaches / mountains / national parks and a fantastic assortment of cultural diversity and activities throughout the metropolitan LA area. UCLA is also in close proximity to many other renowned academic institutions such as Caltech, USC, and other UC campuses.

Interested candidates should email Fei Sha (--LOGIN--faab8b95ba5c3d1a1b26e3acb11db3a4cs[dot]ucla[dot]edu ) and Ameet Talwalkar (--LOGIN--c38449b1a335fe365c26ab32c93a4d88cs[dot]ucla[dot]edu ) with their CVs, research statements and a list of reference letter writers.

• PhD positions in Numerical Modeling at the Unverisity of Catania (Italy) and Málaga (Spain). Received: 09/03/2016, deadline: 22/03/2016.

The ITN Network Modelling and Computation of Shocks and Interfaces (ModCompShock) focus on the training of young researchers in the general area of nonlinear hyperbolic and convection dominated PDEs with emphasis on innovative modelling and computational methods:

http://modcompshock.eu/the-network

Among the positions, there are two 36 month PhD grants in the Unverisity of Catania (Italy) and Málaga (Spain) oriented to the simulation of geophysical flows by the numerical resolution of hyperbolic systems or kinetic equations. The training will focus then on modelling, numerical methods design, High Performance Computing, Uncertainty Quantification, data assimilation, etc. The gross salary is of around 2.600€ (plus around 500€ of family allowance if applicable).

The candidates have to meet the two following requirements:

- Mobility rule: at the time of recruitment by the host organisation, researchers must not have resided or carried out their main activity (work, studies, etc.) in the country of their host organisation for more than 12 months in the 3 years immediately prior to the reference date.

- Early Stage Researchers: at the time of recruitment by the host organisation, be in the first four years (full‐time equivalent research experience) of their research careers and not yet have been awarded a doctoral degree.

More information about the position in Málaga and the application form can be found at

https://edanya.uma.es/menuavailablepositions.html

and about the position in Catania can be found at

http://web.dmi.unict.it/Ricerca/ETNModcompshock

• Postdoctoral Position in Computational Neuroscience at RIKEN Brain Science Institute (Japan). Received: 08/03/2016.

[Laboratory]
Postdoctoral position in computational neuroscience at RIKEN Brain Science Institute
Lab for Neural Computation and Adaptation (Lab head: Taro Toyoizumi)
webpage: http://toyoizumilab.brain.riken.jp/

[Job description]
Our lab is interested in dynamic information processing by neural circuits and the modeling of activity-dependent plasticity in the brain. We seek a highly motivated postdoctoral researcher with a strong analytical background and interest in neuroscience. Applicants should have a PhD in physics, neuroscience, mathematics, computer science, or a related area. Candidates who want to bridge theory and experiment in close collaboration with an experimental lab are also encouraged to apply.

Current interest of the lab includes:
- Elucidating how complex activity dynamics are generated by neural circuits and how the network dynamics influence information processing (PLoS Comput. Biol. 2015; Phys. Rev. E 2011)
- Modeling Hebbian and homeostatic synaptic plasticity across developmental stages (Neuron 2014; Neuron 2013)
- A statistical mechanics approach to characterize neural codewords and its engineering application (Sci. Rep. 2015; Phys. Rev. E 2015)
A high-performance computer cluster is accessible for simulations and data analyses.

[Required documents]
1. Complete CV
2. List of publications
3. Contact information for three references

[Conditions]
2-year postdoc position with possibility of extension (Full-time position with an annual contract up to 5 years based on the evaluation)
RIKEN Brain Science is an international research institute. We use English as the common language for research and for administration. The institute is located in greater Tokyo area, about 30 min from the center of the city by train.
webpage: http://www.brain.riken.jp/en/

[Start of Employment]
April 1st, 2016 or later (negotiable)

[Send application to]
--LOGIN--9e0f16e49f5e21b0e0978c9568372647brain[dot]riken[dot]jp

[Contract information]
Taro Toyoizumi, Ph.D.
2-1 Hirosawa, Wako, Saitama 351-0198, Japan
RIKEN Brain Science Institute
Email: --LOGIN--950eab82d37c0aba2122706d61bbfc87brain[dot]rikne[dot]jp

• PostDoc position in bio-inspired neural networks for robot control at the Scuola Superiore Sant'Anna, Pisa (Italy). Received: 07/03/2016, deadline: 12/03/2016.

A postdoc position is available at The BioRobotics Insititute, Scuola Superiore Sant'Anna, Pisa, Italy.

http://www.santannapisa.it/en/istituto/biorobotica/biorobotics-institute

The position is part of the Human Brain Project SP10 Neurorobotics. The work will be carried out under the supervision of Prof. Cecilia Laschi. The initial appointment is for one year, funding is available for up to 2 years. Start date is 1st April 2016, or as soon as possible thereafter.

Position description
Goal: Design and development of a sensory-motor coordination control system based on bio-inspired neural network for robots acting in simulated environment.

Description: The main research activity concerns the development of brain-inspired computational algorithms for robot control. In particular, the objective of this research is the modelling and implementation in a neural simulator of bio-inspired neural networks for the control of robots performing sensory-motor tasks in simulated environment. The research activity requires in-depth knowledge, proven by previous research or professional activity, of neural computational models. The ideal candidate has also programming experience with C,C++, python, languages. Preference will be given to knowledge of spiking neural networks for robot control.

Context
The postdoc will be enrolled in the Human Brain Project and in particular in the SP10-Neurorobotics
For more information please refer to:
http://www.neurorobotics.net/
https://www.humanbrainproject.eu/it/neurorobotics-platform

To apply
For any question and for application instructions please send an email to Egidio Falotico (--LOGIN--e1105cadd6bdd2f44e7c0ff6639990basssup[dot]it ) by March 12th.

• Research Fellow Position in Cyber-Physical Systems at Nanyang Technological University (Singapore). Received: 07/03/2016.

We are seeking a strong and motivated candidate for the position of Research Fellow in the area of Cyber-Physical Systems, with research focus on the design of resilient hardware platforms and communication networks. This position is part of a corporate lab initiative involving Nanyang Technological University (NTU) in Singapore and a leading electronics manufacturing company. The expected start date for the project is August 2016, and the expected duration of the position is 3 years. Remuneration will be attractive and commensurate based on the qualifications and suitability for the project.

The candidate is expected to have a PhD degree in Computer Sciences, Computer Engineering, Electrical Engineering or related fields. The candidate must demonstrate a strong research experience in one or more of the following areas:

1. Design of hardware and middleware (Operating Systems and Hypervisors) for cyber-physical systems.
2. Design of resiliency (reliability, safety, security) techniques for cyber-physical systems.
3. Design of secure communication protocols for cyber-physical systems.

Experience in both design as well as implementation of technologies for cyber-physical systems is highly desirable. The candidate will be responsible for the management of the overall project, and will lead a team of 2 Research Assistants and 1 PhD student. The position is expected to provide an excellent opportunity to perform both fundamental as well as translational research in close collaboration with industry. Interested candidates can send an email to one of the contact persons below, along with a detailed CV.

Dr. Arvind Easwaran --LOGIN--6942e42421358cdd34f2c2635d0e985bntu[dot]edu[dot]sg
Dr. Mo Li --LOGIN--91a59f9377b4e0ab750d7e3fdc0885a8ntu[dot]edu[dot]sg
Dr. Rui Tan --LOGIN--f4ef479c073ba7e5258b70b76775943antu[dot]edu[dot]sg

Project Overview: Systems that control physical environments like living spaces, known as Cyber-Physical Systems (CPS), have transformed significantly. Due to device proliferation and large-scale connectivity, a variety of functionalities are now feasible in CPS. However, connectivity also means that these systems operate in unreliable open environments, and hence resiliency to faults (reliability), malfunctions (safety) and attacks (security) become important. This resiliency is fundamentally dependent on the resiliency of the cyber-infrastructure of CPS (communication network and computation nodes), which plays a central role of data delivery and execution of control. The objective of this project is to design a resilient cyber-infrastructure for such emerging CPS.

As part of the project, we will design a resilient cyber-infrastructure including hardware platforms, middleware solutions and communication protocols. Since the project is part of a corporate lab, it is also expected that a demonstrator would be implemented to showcase the design. We plan to implement these resiliency solutions for an entrance security application under the smart living research domain. The developed solutions are expected to be used for both local decision making (e.g., building entrance security) as well as global decision making (e.g., campus-wide entrance security and its management in emergencies).

• Postdoctoral position in computational neuroscience at the University of California, San Diego (USA). Received: 04/03/2016.

Applications are invited for post-doctoral research position in the laboratories of Drs. Nikolai Rulkov and Maxim Bazhenov at the University of California, San Diego to develop novel computational models of large-scale brain dynamics. This project involves close collaboration with experimental and theoretical groups. The ultimate goal of this research is understanding how the large-scale brain dynamics arises from individual dynamics of spiking neurons and synaptic interactions.

The successful candidate will be responsible for the design of new classes of thalamic, cortical and hippocampal neuron models based on the discrete time (difference) equations. These models will be used to model brain network dynamics during sleep and wakefulness, as well as guide data analysis and produce novel experimental predictions. Qualified applicants are expected to have experience in dynamical systems, conductance-based neuronal modeling and theory of digital signal processing. Programming experience with C/C++ is required. Knowledge of PYTHON or MATLAB is a plus.

The University of California offers excellent benefits. Salary is based on research experience. The initial appointment is for 1 year with a possibility of extension. Applicants should send a brief statement of research interests, a CV and the names of three references to Maxim Bazhenov (--LOGIN--03215d898ab91c0dacc8cbc526c11b8fsalk[dot]edu ) and Nikolai Rulkov (--LOGIN--629354a50d7fbfc5a07f5bafd49547b9ucsd[dot]edu ).

• PhD positions in computational neuroscience at the University of Edinburgh (UK). Received: 01/03/2016, deadline: 26/03/2016.

3 YEAR PhD IN COMPUTATIONAL NEUROSCIENCE, UNIVERSITY OF EDINBURGH.

We invite applications for our PhD programme in COMPUTATIONAL NEUROSCIENCE at the University of Edinburgh. Applicants need to have UK citizenship, or have been in the UK for the last 3 years.

The studentships are ideal for students who want to apply their computational and analytical skills to problems in neuroscience and related fields. The following supervisor have openings:

Peggy Seriès: Bayesian approaches to cognition and perception; computational psychiatry.

Mark van Rossum: Synaptic plasticity; coding in the visual system; noise in the nervous system.

Matthias Hennig: Models of neural networks; homeostasis and development; visual and auditory neuroscience; analysis of large-scale electrophysiological recordings

The PhD project can be done in collaboration with one of the many affiliated departments and institutes. Edinburgh has been voted as 'best place to live in Britain', and has many exciting cultural and student activities.

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.

Application procedure:
For more info see http://www.anc.ed.ac.uk/neuroscience
and contact one of the supervisors listed above.
Next, apply at
http://www.ed.ac.uk/studying/postgraduate/degrees/index.php?r=site/view&id=489

• Internship position in Computer Vision for automatic scene analysis at Istituto Italiano di Tecnologia, Genoa (Italy). Received: 01/03/2016, deadline: 26/03/2016.

Internship position in Computer Vision for automatic scene analysis

Istituto Italiano di Tecnologia (IIT) was established in 2003 and successfully created a large-scale infrastructure in Genova, a network of 10 state-of-the-art laboratories countrywide andrecruited an international staff of about 1100 people from more than 50 countries. IIT's research endeavor focuses on high-tech and innovation, representing the forefront of technology with possible applications from medicine to industry, computer science, robotics, life sciences and nanobiotechnologies.

The Visual Geometry and Modelling (VGM) Lab at IIT (http://www.iit.it/pavis) invites qualified applicants to submit their CV’s for an internship position within the Biomedical Imaging group in Genoa under the supervision of Dr. Alessio Del Bue.

Eligible candidates have a solid background in computer vision and image processing with particular emphasis on video analysis, excellent programming skills in C/C++ and Python. Experience in managing large scale of data will be considered an additional although not compulsory skill. A good knowledge of Matlab is a plus. Candidates should be strongly motivated and keen to work in an interdisciplinary research field.

Eligible candidates need to have a Master’s Degree in Computer Science, Engineering, and related areas or a Ph.D. degree recently taken in the above mentioned scientific areas.

The internship will be focused on the analysis of video recordings in time lapse (days/weeks/months) of an indoor environment to analyze the dynamic variations in the scene (people interactions, natural and artificial lighting changes). The techniques that will be used span from component analysis (PCA, Matrix factorization, time series analysis) to the use of Deep Learning toolboxes for the extraction of features. The aim of the project is to devise automatic methods for the total understanding of indoor environments with RGBD sensors. The candidate will develop a software in our pre-existing platform and learn new techniques at the basis of modern Computer Vision and Machine Learning systems.

Please send the application including a CV with a publication list and a brief description of research interests and main accomplishments to --LOGIN--d0728d0f6c6e978f32ad89f2744940e4iit[dot]it quoting “Internship BC 72232” in the email subject, by March 26, 2016.

The activities will take place at the VGM Lab in Genoa.

In order to comply with Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow IIT to process his/her personal data. We inform you that the information you provide will be solely used 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 its headquarters in Genoa, Via Morego 30, acting as the Data Holder, using computer and paper-based means, observing the rules on the 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.

Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce.

• Fully funded PhD studentships available at the University of Liverpool (UK). Received: 01/03/2016.

INSTITUTE FOR RISK AND UNCERTAINTY UNIVERSITY OF LIVERPOOL

Two Industrial CASE studentships available at the Institute for Risk and Uncertainty

- Uncertainty Quantification at the 100 Million Degree Edge of the Burning Tokamak Plasma - in collaboration with CCFE and Virtual Engineering Centre, (contact: Dr. Edoardo Patelli edoardo.patelli@liverpool.a c.uk)

- Robust Design under Uncertainty - in collaboration with General Electric Power (contact. Dr. Alejandro Diaz --LOGIN--ad8de398643ae6a73ae1626b960a3cf7liverpool[dot]ac[dot]uk )

The successful candidate will receive a stipend of £17,057 pa for 4 years. For exceptional candidates this may be increased. To be eligible for a full award (stipend and fees) a student must have:

- Settled status in the UK, meaning they have no restrictions on how long they can stay
- Been 'ordinarily resident' in the UK for 3 years prior to the start of the grant. This means they must have been normally residing in the UK (apart from temporary or occasional absences)

Interested applicants can find out more, including instructions on how to apply via theCDT website
http://iru1.liv.ac.uk/tools/lists/lt.php?id=KxkGVQNNAgYDRFMGUAwN

• PhD postion in theoretical neurosciences at Goethe University Frankfurt (Germany). Received: 29/02/2016, deadline: 22/04/2016.

PhD-program in Computational Neurosciences / Complex Dynamical Systems at the Institute of Theoretical Physics, University of Frankfurt am Main,

Field(s): computational neurosciences, complex systems, theory neural networks, simulated robotics, dynamical systems.

Application deadline: April 22, 2016

Contact: Prof. Claudius Gros
E-mail: --LOGIN--d5322e7ab605792c0a2a6bc85d8bbc7ditp[dot]uni-frankfurt[dot]de
Address: Institute for Theoretical Physics,
J.W. Goethe University Frankfurt

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 for the sensory-motor loop, transient state dynamics and self-limiting Hebbian plasticity rules. Several subjects are available for the announced PhD thesis including the generation of attractor metadynamics through short-term synaptic plasticity and/or the generation of motor primitives through self-organized embodiment within the sensory-motor loop. The work will include analytical investigations and numerical simulations of neural networks and/or of simulated robots, using the toolset of dynamical systems theory.

The candidate 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 appointment will start summer 2016, for up to three years. Interested applicants should submit a curriculum vitae and a list of publications, and arrange for letters of reference to be sent to the address above

• Post-doc Position at Politecnico di Milano (Italy). Received: 29/02/2016, deadline: 30/04/2016.

Dipartimento di Elettronica, Informazione e Bioingegneria

Dependable Evolvable Pervasive Software Engineering group

Start date: July 1st, 2016

Type of contract: Fixed term contract (CDD) for 12 months. The contract can be extended up to 24 months.

Two open position are available

Gross salary: 26,000-35,000 EUR according to the experience.

Subjects:
Run-time Management and Scheduling in Big Data Infrastructures
Mobile and Cloud-based Systems

Politecnico di Milano is one of the Technical Universities in Italy, it was established in 1863 and it is ranked as one of the most outstanding European universities in Engineering, Architecture and Industrial Design. In many disciplines it is regarded as a leading research institution worldwide. The number of students enrolled in all campuses is approximately 42,000.

The DEpendable Evolvable Pervasive Software Engineering (DEEP-SE) group works within the Dipartimento di Elettronica e Informazione http://www.deib.polimi.it/). It has been ranked among the internationally excellent groups in the software engineering area by [Ren and Taylor, Commun. ACM 50, 6, Jun.2007]. This result has been confirmed by an international peer review panel requested by Politecnico di Milano.

The research activities of the DEEP-SE group (http://deepse.dei.polimi.it/) focus on techniques, tools and frameworks for the development of complex software systems. It encompasses a variety of aspects of such systems, ranging from modeling and analysis issues in the early phases of their development, to issues related to their implementation and runtime management with particular emphasis on middleware solutions for self-management, resource allocation and optimization. The group includes 14 faculties, 12 Post-docs, and 17 PhD students.

In this context, expressions of interest are being sought for two Post-doc positions in the broad area of software engineering, and more specifically on the run-time management and scheduling in big data infrastructures and on the conception, design, implementation, and validation of mobile and cloud-based systems.

The successful candidates are expected to have a PhD degree in a relevant field and a good publication record. Experience in collaborative research projects and in supervising masters and undergraduate students will constitute a preferential element.

Expertise in one of the following fields will be highly regarded: cloud computing, performance evaluation, machine learning, optimization, scheduling, mobile apps, IoT.

The working language will be English, knowledge of Italian is not required.

The position will be fixed-term for one year, renewable for an additional period of another year. The starting date is negotiable but should be around July 1st 2016.

Inquiries and expressions of interest, including a curriculum vitae, a list of publications (with a shortlist of the three most important papers), and an outline of prospective research (no more than 2 pages) should be sent by e-mail to Prof. Danilo Ardagna (--LOGIN--c3b7f0825f6956f5474f9a6e36557c99polimi[dot]it ) and Prof. Luciano Baresi (--LOGIN--986d0851ddfc0674c61689818f32c39bpolimi[dot]it ).

Deadline for submissions: April 30 2016 (submissions received after that date are welcome and will be considered as long as the positions will be still available).

• PhD position on Anomalous Changes and Extremes Detection on Earth at Universitat de València (Spain). Received: 26/02/2016, deadline: 04/03/2016.

Project: DACE: Detection of Anomalous Changes and Extreme Events in Earth Observation Data
Advisors: Prof. Dr. Gustau Camps-Valls and Luis Gómez-Chova

Summary of activities. Earth observation data allows us to detect anomalous changes on the land-cover, as well as extreme events, both spatially explicit and time-resolved. This is now possible by exploiting high resolution satellite images and long time series of images and products, along with powerful statistical techniques to process them. However, in recent years, the big and heterogeneous data streams acquired by satellite constellations hamper the adoption of advanced machine learning statistical techniques for anomaly change detection and extremes identification. This project proposes to develop, characterize, and apply novel anomaly (change) detectors under the framework of kernel methods. Kernel machines are a proper framework to develop online detection algorithms, to accommodate multi-source data, model complex distributions, to cope with high-dimensional data, and can be engineered to the particular EO signal characteristics.

We will advance in theoretical aspects of the problem by developing a novel kernel framework for extreme events and anomaly change detection that can be online, generalizes extreme value theory, deals with non-Gaussianity and invariances. A prototype of the best performing method will be implemented at the Google Earth Engine (GEE) framework. Algorithms will work at both local and global planetary scales, using very high resolution (VHR) imagery and multi-decadal global carbon products. Detection of rare, unexpected changes and events under the developed statistical framework will constitute the stepping stone before the more ambitious far-end goal of machine attribution of anthropogenic climate change causes.

Where?
The successful applicant will be based in València, Spain, and will pursue his/her PhD in the Image Processing Laboratory (IPL) of the Universitat de València, http://isp.uv.es. Supervision will be done by Profs. Gustau Camps-Valls and Luis Gómez-Chova.

Who?
- Applicants must have completed a master's degree in Mathematics, Physics, Computer Science, Earth/Environmental Sciences, or Electrical Engineering.
- Additional expertise in remote sensing, climate science and image processing is highly valuable.
- Excellent coding skills (in Python, Matlab, R, and eventually Java/C++) is an asset.
- A good standard of written and spoken English is required.
- Are you highly motivated, enthusiastic and with passion for quantitative science to join our team?
- The position may start as of June 1, 2016 (or as soon as possible thereafter) and is limited to 3 years.
- Salary is according to the UV regulation for PhD salaries (around 1400€/month gross + 1600€/year for travel/accommodation). València's cost of living index is 55.
- Important note: Master's degree obtained after Jan-2013 and earned in a non-Spanish university.

What?
Please send your application as one single PDF file (2-pages CV and 2 recommendation letters) to --LOGIN--61b339dd37e654fcd5b6c524e8f0a56euv[dot]es , indicating in the email's subject «Grisolia-2016».

When?
Send the dossier no later than March 4, 2016.

• Postdoctoral Scholars in Computational Brain Science at Brown University (USA). Received: 25/02/2016.

The Brown Institute for Brain Science Initiative for Computation in Brain and Mind is seeking applicants for the Paul J. Salem Postdoctoral Scholarships in Brain Science. The postdoctoral scholars will lead an exciting new project at the interface between machine learning and neuroscience. In particular, we are looking for computational neuroscientists interested in the application and development of novel machine learning methods for the analysis of neural recordings.

Candidates are expected to have a solid background in modern machine learning and signal processing as well as demonstrated interest in experimental neuroscience. In addition, to conducting primary research with large neural data sets, candidates will be involved in the mentoring of students, and the organization of workshops. Candidates are expected to interact closely with the Neurotechnology group within the Brain Institute.

The initial appointment is for 12 months with the potential to renew. The salary is competitive. The start date is negotiable although funding is available now.

Research group:
The Initiative for Computation in Brain and Mind (ICBM; http://compneuro.clps.brown.edu), which began Fall 2013 within the Brown Institute for Brain Science, creates an exciting intellectual environment that fosters synergistic collaborations across departments. Groups affiliated with the initiative work on two core levels of computation. The first level focuses on theoretical neuroscience, including computational perception, control over action and learning, and fundamental questions in neuronal networks (synaptic plasticity, circuits, networks, oscillations). The second level focuses on applications and neurotechnology, including brain-machine interfaces, advanced neural data analysis, computer vision, computational psychiatry, and robotics. ICBM has 16 core computational faculty (http://compneuro.clps.brown.edu/people/) spanning six departments, and many more faculty who incorporate computation for theory development, analysis, or both. Computational neuroscience tools at Brown have been applied in projects including brain-machine control of robotic arms in paralyzed humans; models of visual systems in biological organisms and their innovative application for classifying animal behavioral patterns; predicting and quantifying effects of genetics, disease, medications, and brain stimulation on motor and cognitive function; identification of the source of neural rhythms and their roles in sensorimotor function; development of fundamental theories of brain plasticity, and learning; state-of-the art models of machine learning and reinforcement learning in computer science.

The Brown Institute for Brain Science (BIBS) advances multidisciplinary research, technology development, and training in the brain sciences. BIBS unites more than 100 faculty from departments across Brown, spanning basic and clinical departments, and physical and biological sciences. BIBS creates opportunities and essential support to advance interdisciplinary research efforts among these groups including training funds to support interdisciplinary scholarship and research.

Requirements:
Candidates must have received their PhDs within 3 years of the application deadline, and will work under the supervision of faculty members at Brown University who are affiliated with the Initiative for Computation in Brain and Mind. They must have a strong background in computational neuroscience and machine learning, with a track record of relevant publications at top venues (such as NIPS or ICML). Excellent programming skills are required (C/C++/Matlab/Python).

Application:
Please send your applications by email to --LOGIN--b4f8cc4dfd0aa1a74116ea21e10aa008brown[dot]edu . Please include a brief statement of interests, a curriculum vitae, a list of publications and 2-3 letters of reference (addressed directly to --LOGIN--b4f8cc4dfd0aa1a74116ea21e10aa008brown[dot]edu ). There is no deadline for the application but applicants are encouraged to apply as soon as possible as the position will be filled as soon as a suitable applicant is found.

• Postdoc position in neuroimaging and data science at the University of Washington (USA). Received: 24/02/2016.

We are seeking scientists with a PhD in neuroscience, computer science, electrical engineering, statistics, psychology or related fields, and with an interest in human brain function and data science to apply for a position as a post-doc at the Institute for Learning & Brain Science (I-LABS) (http://depts.washington.edu/bdelab/) and the eScience Institute (http://escience.washington.edu) at the University of Washington.

The project focuses on the development of methods for analyzing multi-modal MRI data, and the application of these methods to questions pertaining to human brain development. The long-term goals of the project are the development and maintenance of software for the analysis of large openly available datasets of human MRI, and the extraction of valuable information about the biological basis of human cognitive abilities from these data. This involves developing new algorithms for the analysis of diffusion MRI, tools for harnessing the power of cloud computing to scale these tools to large datasets and the development of new statistical and modeling techniques that are tailored to the study of brain connections. The postdoc would have the opportunity to work within a large and international open-source development community (http://dipy.org), and would be encouraged to develop a portfolio of open and reproducible science.

Suitable candidates should enjoy working in an interdisciplinary and collaborative environment, as the position sits at the intersection of the missions of eScience and I-LABS. There is one year of guaranteed funding for the position, and the opportunity to apply for extraordinary postdoctoral fellowships funded by the Washington Research Foundation, the Gordon & Betty Moore Foundation and the Alfred P. Sloan Foundation (deadline: July 15th), available through the University of Washington Institute for Neuroengineering and the eScience Institute:

http://uwin.washington.edu/post-docs/apply-post-docs/

http://escience.washington.edu/postdoctoral-fellowships

For inquiries please contact Prof. Yeatman (--LOGIN--6e770b4156002e7d0c065c8cb0c43a3auw[dot]edu ) and Ariel Rokem (--LOGIN--3d81fd326be7c9a615a192d9e64b6434uw[dot]edu ).

The University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.

• Research Assistant/Associate in Cancer Informatics at Newcastle University (UK). Received: 24/02/2016, closing date: 11/03/2016.

You will join the newly established Medical Research Council £3.8M project called Newcastle Molecular Pathology Node (NMPN). As part of your duties you will devise new computational methods to collate, integrate, analyze and visualize medical (clinical) and biological data.

The aim is to integrate, analyse and interpret a wide range of clinical pathology relevant data sources such as microscopy images, analytical platforms data (genomics, proteomics, metabolomics, lipidomics, glycomics, etc), public and private data repositories, text mining of literature as well as clinical records, etc. The initial focus of the post will be on Cancer Computational Pathology.

You should have a PhD in Medical Informatics, Bioinformatics or related field (or nearing award) and have demonstrable experience with medical or biological data analysis, integration or visualisation.

This position is available immediately fixed term for 36 months with a stage gated performance evaluation at month 12.

For informal queries please contact Prof. Natalio Krasnogor (--LOGIN--6bd08373806869a84df7602698bf4d05newcastle[dot]ac[dot]uk ) or visit http://ico2s.org

The School of Computer Science is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women’s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The School received a Bronze Award in 2015 for their commitment to the representation of women in the workplace and we welcome all candidates to apply for this post. Appointment will always be made on merit.

Click here for further details

• PhD position in Machine Learning in Cognitive Science at the University of Potsdam (Germany). Received: 23/02/2016, closing date: 31/03/2016.

The newly established Machine Learning in Cognitive Science research group within the Research Focus Cognitive Science at the University of Potsdam, Germany, is seeking to fill the following position preferably starting May 15th 2016:

Academic Staff Member (m/f)
PhD Research Position (Research Associate)
Requisition No.: 105/2016

The position is for 30 hours of work per week (75 %). The salary is determined by the collective bargaining agreement for public employees in Germany (TV-L 13 Ost). This is a temporary position limited to a term of 3 years with the intention of a further extension in accordance with Section 2 Para 1 of the Academic Fixed-Term Contract Law (WissZeitVG).

The position will be embedded into the Research Focus Cognitive Sciences which is one of four interdisciplinary focus areas of the University of Potsdam and widely recognized as one of the leading cognitive science institutes in Germany. Within this highly interdisciplinary setting, cognitive scientists, psychologists, mathematicians, computer scientists linguists, and sport/movement scientists work together using a wide array of experimental techniques, such as EEG, TMS, NIRS, eye tracking, motion capture, and gait analysis.

The Machine Learning in Cognitive Science group is dedicated to improving the cognitive abilities of machines and reducing the friction in human-computer interaction. We develop novel signal processing and deep learning algorithms for the analysis of sensory data and investigate new approaches for interacting with machines such as through EEG or eye tracking.

We are looking for a highly motivated, creative, interdisciplinary researcher with a strong background in (deep) machine learning/pattern recognition or computational/artificial intelligence. A high proficiency in scientific programming (preferably Python) is required as well as a Master's degree in a related discipline. The everyday working language may be either English or German, though good written and oral communication skills in English are essential. An ideal candidate will also have some experience in temporal signal processing (such as music/audio or sensory data) and good analytical/mathematical skills. Additional knowledge within the application domain of the cognitive sciences is a plus.

The university is located in the historical city of Potsdam, and its Golm campus, where Cognitive Science is based, is reachable by a direct and fast train connection from Berlin, a vibrant and international city that offers an unbeatable quality of life. Notice that the University of Potsdam does not charge tuition fees for PhD students beyond a nominal registration fee. We encourage PhD students to also join the Potsdam Graduate School for further education opportunities in different academic and non-academic fields, as well as the possibility for national and international networking.

At least one-third of working hours are available for one’s own in-depth scientific work. The University strives for a balanced gender ratio in all occupational groups. Handicapped applicants will be given preference in case of equal suitability. People with an immigration background are specifically encouraged to apply.

Please send your application with the requisition number 105/2016 including a letter of motivation with an outline of your research interests, transcript of grades, copies of certificates, and a CV by email (single PDF file preferred, max. 2 MB) to --LOGIN--655a933fafcb3655739228df7e8a3a0buni-potsdam[dot]de by March 31st, 2016. If necessary, you can also mail it to University of Potsdam, Research Focus Cognitive Sciences, Dr. Sebastian Stober, Karl-Liebknecht-Straße 24-25, 14476 Potsdam. In this case, we request that you include a self-addressed stamped envelope so we can return your application documents.

PDF version:
http://www.uni-potsdam.de/verwaltung/dezernat3/stellen/105_2016_HWF_Stober.pdf

• Tenured academic position in Computer Vision at The University of Edinburgh (UK). Received: 23/02/2016, closing date: 21/03/2016.

University of Edinburgh Faculty Hire in Computer Vision (Reader/Lecturer)

Applications are invited for a Lecturer to join the Institute of Perception, Action and Behaviour, part of the School of Informatics, at The University of Edinburgh. For an exceptional candidate, appointment to the position of Senior Lecturer or Reader will be considered.

The Institute carries out research in Machine Vision, Graphics, and Robotics. It also has substantial cross links to the Institute of Adaptive and Neural Computation. Candidates with an interest in the computational neuroscience of vision, machine learning, or the application of computer vision to robotics are particularly encouraged to apply; but applications in any area of Image and Vision computing will be considered.

The School of Informatics plays a leading role in the EPRSC Centres for Doctoral Training in Robotics and Autonomous Systems, and in Data Science, with opportunities for the appointee to supervise PhD students from the Centres (and from other sources). In partnership with Heriot Watt University, we have recently established the Edinburgh Centre for Robotics, with substantial infrastructure funding for robotic platforms and supporting facilities. The University of Edinburgh is also one of the five joint venture partner universities in the UK's Alan Turing Institute for Data Science; this gives rise to opportunities to interact with PhD students, research fellows and senior researchers within the Turing Institute. In addition, there are many opportunities to interact with other parts of the University and beyond in order to further the candidate's research agenda.

The successful candidate will have a PhD; experience as an established researcher in Image and Vision Computing; enthusiasm to undertake original research including leading a research group; ability to engage with undergraduate and postgraduate teaching and academic supervision; ability to be involved in enhancing eLearning and on-line teaching initiatives.
The post is full time and open ended and is available from 4th January 2017.

Salary: Lecturer UE08 £38,896 - £36,414 per annum
/ Senior Lecturer or Reader UE09 £49,230 - £55,389 per annum

Closing Date: Monday 21st March 2016 at 5pm (GMT)

You can see more details at:
https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=035564

For questions about the application procedure, contact:

Vacancy Ref: 035564
Contact Person: Irene Madison
Contact Number: +44 (0)131 650 2723
Contact Email: --LOGIN--37a704c43210283f0a68671d3701ffbdinf[dot]ed[dot]ac[dot]uk

For academic questions, contact Bob Fisher: --LOGIN--e26b06e38ab789ef31c0552964a2a5e3inf[dot]ed[dot]ac[dot]uk

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

• 3 Postdoctoral positions in Machine Learning at the Istituto Italiano di Tecnologia, Genova (Italy). Received: 12/02/2016, deadline: 29/02/2016.

The positions are based at IIT but collaborations and extended visits at UCL are possible.

Areas of research interest include:

deep learning
kernel methods
multitask and transfer learning
numerical optimization
reinforcement learning
representation learning
sparsity regularization
statistical learning theory

Candidates must hold a PhD in computer science or a related discipline (mathematics, statistics, signal processing, operations research).
Please note that outstanding applications in other areas will also be considered.

Candidates should either have a strong background in machine learning theory and algorithms or strong programming skills involving machine learning algorithms and their applications.

Interest and prior expertise in applications to robotics, computer vision and related disciplines is a plus but not a requirement.

An internationally competitive salary package subject to experience will be offered. The scientific environment at IIT is a world-class one offering full support to do research at outstanding levels.

The positions are based at IIT but collaborations and extended visits at University College London are possible.

Interested applicants should submit CV, list of publications, a statement of research interests and names of 2 references to --LOGIN--630c4f9471779b10b75172f6c93ca596iit[dot]it quoting “3 Postdoctoral positions in Machine Learning” in the e-mail subject.

To receive full consideration please apply before February 29, 2016.

For more information:
https://beta.iit.it/careers/openings/opening/48-3-postdoctoral-positions-in-machine-learning

• 10 doctoral positions in Big Data Analysis in Chemistry at BIGCHEM. Received: 11/02/2016, deadline: 20/03/2016.

BIGCHEM (BIG data in CHEMistry) is a Marie Skodowska-Curie Innovative Training Network (ITN) for Early Stage Researchers (ESR) funded by the European Commission under the H2020 Programme. The BIGCHEM ITN will provide a comprehensive and cross-disciplinary structured curriculum for doctoral students in large chemical data analysis using machine-learning, computational chemistry and chemoinformatics methods. The innovative research program will be implemented with the target users, large pharma companies and SMEs, which generate and analyse large chemical data.

BIGCHEM is a collaborative action of 9 groups in 5 countries from academia and pharmaceutical industry. The complementary expertise of partners in different aspect of large chemical data, including data production, data security, analysis, and development of theoretical methods is the basis of the research topics and allocation of individual tasks and resources.

The project will train ten Early Stage Researchers (ESR). Each ESR will spend at least 50% of time with industrial partners and will be employed for 36 months in total (18 months with academic partner and 18 months with industrial partner or vice versa).

ESR1: Machine learning methodologies for mining very large compound data sets. (Boehringer Ingelheim GmbH & Co KG and University of Bonn, Germany)

ESR2: Computational compound screening and profiling by large-scale mining of pharmaceutical data. (University of Bonn, Germany and Boehringer Ingelheim GmbH & Co KG, Germany)

ESR3: Big data visualization and modeling using Generative Topographic Mapping (GTM). (University of Strasbourg and Boehringer Ingelheim GmbH & Co KG, Germany)

ESR4: Development of frequent hitters filters for HTS screening. (Helmholtz Zentrum München & Lead Discovery Center GmbH, Germany)

ESR5: Analysis of Compound Promiscuity Based on Bioassay Ontology. (University of Bonn & AstraZeneca, Germany & Sweden)

ESR6: Developing virtual screening methods to exploit large virtual chemical space. (University of Bern & AstraZeneca, Sweden & Switzerland)

ESR7: Exploration of uncharted regions of the chemical space by reaction-driven de novo design. (Boehringer Ingelheim GmbH & Co KG and ETH Zürich, Germany and Switzerland)

ESR8: Accessing new chemical space for lead optimization based on QSAR models. (AstraZeneca & Helmholtz Zentrum München, Germany & Sweden)

ESR9: Integrated ligand- and structure-based approaches for predicting compound polypharmacology based on big data. (University of Modena and Reggio Emilia & AstraZeneca, Italy & Sweden)

ESR10: Secure sharing of information using ensemble of machine learning methods and surrogate data. (Helmholtz Zentrum München & AstraZeneca, Germany & Sweden)

Further information about the recruitment process as well as the eligibility criteria are indicated on the BIGCHEM site http://bigchem.eu (or from --LOGIN--ddb58f49965becd1ec76a31d88a6d166bigchem[dot]eu ). Applications should be submitted on-line through the project website http://bigchem.eu.

Deadline for applications is 20.03.2016.

• PostDoc position in Intelligent Systems at the University of Santiago de Compostela (Spain). Received: 09/02/2016, closing date: 31/03/2016.

The Research Centre in Information technologies of the University of Santiago de Compostela (CiTIUS) is seeking for a two-years post-doc researcher. Sucessful candidates will develop their own research project within the frame of the projects currently developed in the scientific areas of the Centre. In particular, candidates with a “Intelligent Systems” profile for the “Data engineering” or related scientific areas are welcome.

Duration: Two years. The contract period may be extended if successful candidates comply the Marie Curie mobility rule (i.e. have resided or carried out his/her main activity out of Spain for more than 12 months in the last 3 years).
Gross salary of about 2.630€ per month (31.600€ per year).
Beginning: May/June 2016.
Closing date for applications: 31.03.16 at 23h59 CET (UCT + 02:00)

Full details and application procedure: https://citius.usc.es/n1122u

• Two post-doc positions in machine learning and computer vision at the Idiap Research Institute, Martigny (Swizterland). Received: 06/02/2016.

The Computer Vision and Learning group at the Idiap Research Institute (http://www.idiap.ch/cvl) invites applications for two postdoctoral positions (http://www.idiap.ch/~fleuret/hiring.html), on the development of invariant embeddings for face recognition and techniques for accurate defect detection in manufacturing processes.

Applicants should have a strong background in machine learning applied to computer vision, a publication record in top-tier venues (TPAMI, JMLR, CVPR, ICCV, NIPS, ICML, etc.), excellent programming skills, and good knowledge of (some of) the standard machine-learning frameworks.

Appointment for the positions are 15-18 months, and may be renewed depending on funding opportunities. Starting date is as early as possible.

About Idiap

The Idiap Research Institute is located in Valais, a scenic region in the south of Switzerland, surrounded by the highest mountains of Europe, and within close proximity to Lausanne and Geneva. The working language of Idiap is English.

Please contact --LOGIN--315c49bc6c3e062985f757cd826afc26idiap[dot]ch for additional information.

• Two ESR (PhD) positions in Cognitive Robotics at Plymouth University (UK). Received: 05/02/2016, closing date: 06/03/2016.

Two 3-year ESR (PhD) positions at the Centre for Robotics and Neural Systems at Plymouth University, UK

DCOMM European PhD Training Network
DCOMM (dcomm.eu) is a new Marie Skłodowska-Curie European Training Network (ETN) with the primary aim to train the next generation of scientists in the full range of multidisciplinary and cross-sectorial methods necessary to make significant progress in understanding deictic communication, with direct synergies between basic research and application. Deictic communication is fundamental to understanding communication in both typical and atypical populations, and forms the key connection between language and objects/locations in the world. It is therefore critical to understanding human-human interaction, and human-system interaction in a range of technology applications – from mobile phones to cognitive robotics – and to the enhancement of clinical and educational interventions with typical and atypical populations.

The tho positions/project are:

ESR Position 1. Developmental robotics architecture for the co-development of demonstratives and gestures. This PhD will target the important issue of the robot’s understanding of function words, as demonstratives (this, that), to go beyond current state of the art on the learning and understanding of words naming objects and actions in robots. The main objective is to design a developmental robotics cognitive architecture for the acquisition of demonstratives via deictic gestures, based on the developmental stages on the acquisition of gestures and demonstratives in children, and test it in human-robot interaction (HRI) experiments.

ESR Position 2. From single words to compositional language via gestures: Applications in robot language learning. Studies on sign language and language-gesture development have shown that children go through a gesture-word combination stage before they make a full transition to two-word and longer sentences. This PhD project will model the transition from single words to multiple-word sentences via the intermediate word-gesture combinations, and the exploitation of common compositional structure of language and action. A developmental robotics model will be developed to allow a robot like iCub to learn multi-word sentences with developmental transitions via gesture-word combinations.

Application requirements and criteria: Applicants must have a first degree in computer science, robotics, cognitive science or related discipline. A Masters level degree in the same disciplines is a desirable criterion. Good programming skills is also an essential requirement. Applicants with knowledge and skills on computational cognitive modelling (e.g. neural networks, robotics, artificial intelligence), and/or previous research experience, are particularly encouraged to apply.

For further information contact Professor Angelo Cangelosi (--LOGIN--fb1dcf975bc5cffeca183d4a22cfdbc1plymouth[dot]ac[dot]uk ), the First Supervisor of the ESR PhD fellowship. Background information on the supervisors’ research profiles can be found on Plymouth University website.

The salary will be based on the standard Marie Skłodowska-Curie Early-Stage Researcher living and mobility allowances. Expected start date of the ESR/PhD positions is 1st October 2016.

The following conditions apply:

Early-stage researchers shall, at the time of recruitment by the host organisation, be in the first four years (full-time equivalent research experience) of their research careers and not yet have been awarded a doctoral degree.

Mobility Rule: at the time of recruitment by the host organisation, researchers must not have resided or carried out their main activity (work, studies, etc.) in the country of their host organisation (UK) for more than 12 months in the 3 years immediately prior to the reference date. Compulsory national service and/or short stays such as holidays are not taken into account. As far as international European interest organisations or international organisations are concerned, this rule does not apply to the hosting of eligible researchers. However, the appointed researcher must not have spent more than 12 months in the 3 years immediately prior to their recruitment at the host organisation.

Applicants should upload a CV, along with their application and provide 2 referees within their application.

This is a full-time position working 37 hours per week on a fixed-term basis for 36 months starting 1stOctober 2016.

The closing date for applications is 12 midnight, Sunday 6 March 2016

Plymouth University is committed to an inclusive culture and respecting diversity, and welcomes applications from all sections of the community and is a Stonewall diversity champion.

The University holds a Bronze Athena SWAN Award which recognises commitment to advancing women’s career in STEMM academia.

Apply via this link (each application will be considered for both posts)

http://www.jobs.ac.uk/job/AMY136/early-stage-researcher-cognitive-robotics-dcomm-etn/

• Postdoc position in Visual Processing at the Netherlands Institute for Neuroscience, Amsterdam (Netherlands). Received: 01/02/2016.

Pieter Roelfsema and J. Alexander Heimel have a joint post-doc position available to study neural processing in the awake behaving mouse using imaging at cellular and mesoscopic resolution, extracellular electrophysiology and optogenetics. The research is part of a European funded collaboration with the laboratories of Gustavo Deco (Barcelona) and Hans op de Beeck (Leuven). Funding is available for several years.

A background in neuroscience is advantageous, but excellent PhD graduates from physics, mathematics, engineering or informatics are also encouraged to apply. Expert programming skills are a requirement.

The project will be supervised by Heimel and Roelfsema in Amsterdam at the Netherlands Institute for Neuroscience in Amsterdam. At the NIN, seventeen research groups work to understand how networks of neurons enable the cognition. The working language is English.

Please send a CV, motivation letter and contact information for two references to --LOGIN--8db3a32ab601f89e8d16c9ba2c593d91gmail[dot]com .

• Postdoctoral position in Computational Neuroscience at Albert Einstein College of Medicine, New York (USA). Received: 01/02/2016.

Postdoctoral position in the Coen-Cagli Laboratory
Albert Einstein College of Medicine, New York, NY
Start date August 2016 or later

We are looking for a highly creative and motivated postdoctoral fellow to work in the field of computational and systems neuroscience in the laboratory of Ruben Coen-Cagli - Department of Systems and Computational Biology and Department of Neuroscience at Albert Einstein College of Medicine (AECOM) in New York City (https://sites.google.com/site/rubencoencagli/).

Our lab studies how biological sensory systems interpret the surrounding environment. Topics include probabilistic representations of natural images; models of selectivity and variability in large cortical populations; the behavioral consequences of neuronal variability; and uncertainty in visual and auditory perception. We combine theories of probabilistic neural coding, tools from computer vision and machine learning, eye-tracking experiments, and neurophysiology through collaborations. The candidate is expected to perform research related to these topics. The lab features state of the art computing and eye-tracking facilities. Close interaction and collaboration with other members of the department is anticipated.

Applicants must have a Ph.D. in a relevant discipline, with an academic record of scientific excellence and independent research. Prior experience should include areas such as computational neuroscience, machine learning, computer vision, or statistics. Applicants should have a keen interest in interdisciplinary approaches to biological and neural systems.

AECOM offers a vibrant interdisciplinary environment, with a growing systems and computational contingent. It is located in a quiet neighborhood of New York, only a short subway ride from Manhattan. Information about working at the AECOM, including benefits and housing for postdocs, can be found at
https://www.einstein.yu.edu/research/belfer-institute/

The position starts in or after August 2016, and is funded for several years, with an initial one year appointment and expectation of extension given satisfactory performance. Salary is competitive and will be commensurate with experience.

Candidates should send a single pdf file, consisting of a 1-page motivation letter, CV, and publication list to --LOGIN--a421c3edecfec9c9c907704d2d9b9631gmail[dot]com . Furthermore, candidates should organize two letters of reference, to be sent to the same e-mail address. The position is open until filled.

Albert Einstein College of Medicine, Inc. is an equal opportunity employer committed to hiring minorities, women, individuals with disabilities and protected veterans.

Ruben Coen-Cagli will be available at Cosyne to meet with candidates.

• Ingeniero de Modelado, Simulación y Control para Instrumentación Espacial en el Instituto Nacional de Técnica Aeroespacial (INTA), Madrid (Spain). Received: 01/02/2016, deadline: 04/02/2016.

El área de Ingeniería de Sensores Espaciales del Instituto Nacional de Técnica Aeroespacial (INTA) convoca una serie de plazas en formato de “Obra y Servicio” para el diseño y desarrollo de instrumentación embarcada en misiones a Marte. Una de las plazas es para el diseño de algoritmos de control embarcados, modelado y simulación. El plazo de presentación de la solicitud finaliza el próximo 4 de Febrero de 2016.

Información sobre la convocatoria de la plaza: AQUÍ.

• Post-Doctoral Researcher in computer network security at the University of Delaware (USA). Received: 26/01/2016.

The Cyber-security research group in the Electrical and Computer Engineering Department at the University of Delaware is seeking a Post-Doctoral Researcher with a background in computer network security. While we are interested in a person having research credentials in the cyber-security of critical infrastructures, all research areas of cyber-security will be considered.

Qualification:
1. A recent Ph. D. in Electrical and Computer Engineering or Computer Science.
2. Strong background in cyber security, computer – communication networks, and algorithms.
3. Interests in cyber-physical system research
4. Knowledge of performance analysis of computer-communication systems using Queuing theory, other statistical, or mathematical techniques.
5. Strong publication record.

Duties:
1. Develop algorithms, methods, tools that can be used for vulnerability analysis and prevention for critical infrastructures
2. Mechanism designs that detect and protect networks from distributed denial of service or other attacks
3. Pursue independent research in network security and advise MS projects and/or thesis

Duration:
Initial appointment is for one year duration which will be renewed for another year depending upon the research performance. The position is currently available and will remain open until a suitable candidate is identified.

To apply please email your resume along with the contact information of three references to Dr. Amitabh Mishra, (--LOGIN--144301e774b9c057b27d004351a95a57udel[dot]edu ) Department of Electrical and Computer Engineering, University of Delaware, Newark, Delaware 19716.

• Postdoc Position on System-on-Chip at the University of Technology Vienna (Austria). Received: 14/01/2016, closing date: 03/02/2016.

The Institute of Computer Technology at the University of Technology Vienna opens a position for a Postdoc, 20h/week

Subject Area:
Systems on Chip

Subject description:
The subject area includes architecture, design methods, modeling and FPGA based prototyping for Systems on Chip, digital hardware design and embedded software. Competence in modeling, verification and test of hardware and, a good understanding and skilled usage of the design languages VHDL or Verilog is required.

The candidate should have a track record of Successful research and scientific publication in leading conferences and journals. Competence in relevant application areas such as signal processing, communication systems, control, robotics, vision and image processing, machine learning etc. is an asset.

Job duties:
Job duties include research and education the area of systems on chip, integrated circuits and embedded systems. The ability to conduct teaching in German is expected.

The applications should be submitted before February 3, 2016, to --LOGIN--4c55e7ceb5b9e5b914d831da4a7c6ad1tuwien[dot]ac[dot]at .

Questions can be directed to --LOGIN--f19929fd57a2197b78b54991a0569f87tuwien[dot]ac[dot]at .

More details and instructions can be found at:
https://tiss.tuwien.ac.at/mbl/blatt_struktur/anzeigen/10225#p17.6 item p17.6.2

• Lecturer Tenure position in Robotics at Telecom Bretagne, Brest (France). Received: 13/01/2016, deadline: 31/01/2016.

The French engineering school Telecom Bretagne has a new opening for a Lecturer position (tenure) in Computer Science and Robotics.

Telecom Bretagne is one of the most prestigious graduate engineering schools (“Grandes Ecoles”) in France. It is a public institution, under the aegis of the Ministry for Industry and is a member of the Institut Mines-Telecom and the Université européenne de Bretagne (European University of Brittany). The college trains future professionals for careers in industry, services and research.

Details about the position can be found here: http://www.telecom-bretagne.eu/about/recruitment/job-offers/lecture-computer-science/

• Tenured faculty positions at the University of California, Irvine (USA). Received: 12/01/2016.

The University of California, Irvine (UCI) currently has campus-wide openings for *tenured* faculty at the Associate or early Full Professor stage. We would like to encourage qualified candidates in areas such as AI, machine learning, computer vision, NLP, as well as related areas such as statistics to apply.

UCI is seeking to broaden its research presence in these areas, adding to existing faculty such as Anima Anandkumar, Rina Dechter, Alex Ihler, Charless Fowlkes, Pierre Baldi, Eric Mjolsness, Padhraic Smyth, Mark Steyvers, Babak Shababa, Hal Stern, among others.

Additional details are provided below. Candidates in computer science or statistics should apply to https://recruit.ap.uci.edu/apply/JPF03236 and candidates in engineering should apply to https://recruit.ap.uci.edu/apply/JPF03234

Multiple Tenured Positions: UCI 2016 Midcareer Professor Hiring Initiative

UCI is engaged in ambitious strategic expansion and seeks to hire tenured Associate to early Full Professors with distinguished publication (or creative endeavor) records and upward trajectories in their research profiles. This special initiative is independent of other specific search announcements. We will build on the existing strengths of our faculty campuswide, fortify our commitment to diversity, and consider interdisciplinary, transdisciplinary, and convergent science scholars for hire in general campus units.

Currently celebrating its 50th anniversary, the University of California, Irvine is part of the premier public university system in the world. UCI is a member of the Association of American Universities and was recently named by U.S. News & World Report as a top ten public university and by the New York Times as No. 1 among U.S. universities that do the most for low-income students. UCI is located in one of the world’s safest and most economically vibrant communities and is Orange County’s second-largest employer, contributing $4.8 billion annually to the local economy.

Applicants are expected to have advanced degrees and publication/creative endeavor records commensurate with appointment levels in each school.

For application instructions, please go to https://recruit.ap.uci.edu/apply. Applications received by February 1, 2016 will receive fullest consideration, but we will continue reviewing files until all positions are filled.

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, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.

• PhD position in Computational Neuroscience at Bournemouth University (UK) and at the University of Barcelona (Spain). Received: 08/01/2016, deadline: 29/02/2016.

PhD position in Computational Neuroscience ‘Identification of Metastable Cortical Dynamics Underlying Cognitive Decisions’ (Bournemouth University-IDIBAPS Barcelona)

A PhD position is available in 3-years fully-funded project ‘Identification of Metastable Cortical Dynamics Underlying Cognitive Decisions’; based at Bournemouth University (UK) https://research.bournemouth.ac.uk/centre/interdisciplinary-neuroscience-research/

and at the Biomedical Research Institute August Pi I Sunyer (IDIBAPS, http://www.idibaps.org/en_index.html, University of Barcelona, Spain).

Do we have analysis tools for a reliable identification of the dynamical processes underlying decision-making? This is a fundamental question, touching the very basics of our understanding of neural computation and hence one of the most exciting topics in neuroscience. However, to reconstruct in detail neural dynamics generating cognitive decisions is a major challenge for current methodologies. This would be a highly significant advance; for instance the identification of stable dynamical patterns of activity in hippocampus deserved to win the last Nobel Prize.

The aim of the project is to develop innovative approaches designed for the identification of metastable dynamics underlying cognitive decisions. We aim for the fusion of statistical learning approaches to pattern discovery with methods for identifying neural attractor dynamics and neurocomputational modelling. The novel approach will reconstruct neural dynamics during tasks specifically designed at Sanchez-Vives Lab in rodents and in human subjects at the Bournemouth EEG lab.

The training possibilities that this interdisciplinary project offers are multiple and relevant in building-up a high-profile as a neuroscientist. The student will benefit from the vibrant scientific environment of neural computation and neurosciences at BU https://research.bournemouth.ac.uk/centre/interdisciplinary-neuroscience-research/ and at the cortical networks lab; embedded in the renowned systems neuroscience network in Barcelona http://www.sanchez-vives.org/.

Applicants holding a degree in Physics, Mathematics, Engineering, Computer Science or similar disciplines are welcome. Interest or previous training in neuroscience or laboratory experience and a strong mathematical (dynamical systems, partial differential equations) or machine learning background would be very welcome.

The researcher would be based at the Faculty of Science, Bournemouth University, and work with Dr Balaguer-Ballester at the Computational Neuroscience laboratory in the context of the interdisciplinary group for neurosciences; and would spend prolonged periods of time in the Cortical Networks Lab (IDIBAPS, Barcelona) led by Prof Maria Victoria Sanchez-Vives; providing an outstanding opportunity to gain a diverse experience of both neuro-computational and experimental approaches.

For formally applying and more information please visit https://research.bournemouth.ac.uk/pgr/funded-phd-studentships-in-the-faculty-of-science-and-technology-2015/

The deadline is on the 29th of February, 2016

BU is a Disability Two Ticks Employer and has signed up to the Mindful Employer charter. Information about the accessibility of University buildings can be found on the BU DisabledGo webpages This email is intended only for the person to whom it is addressed and may contain confidential information. If you have received this email in error, please notify the sender and delete this email, which must not be copied, distributed or disclosed to any other person. Any views or opinions presented are solely those of the author and do not necessarily represent those of Bournemouth University or its subsidiary companies. Nor can any contract be formed on behalf of the University or its subsidiary companies via email.

• Postdoc position in neural engineering at Carnegie Mellon University, Pittsburgh (USA). Received: 05/01/2016.

A team of three engineers (Grover, Weldon, Kelly) is seeking an interdisciplinary postdoctoral fellow for a 1 year position (extendable, depending on fit and progress) to design, implement and experimentally test, a high density neural recording system. The ongoing project will leverage results obtained by the investigators to disrupt neural recording systems as they exist, providing novel solutions to long-standing open problems of clinical and neuroscientific relevance. A successful candidate will be paid competitively.

The overall team comprises:

* Pulkit Grover (Information theory, signal processing, circuits, CMU ECE and CNBC)

* Jeffrey Weldon (circuits, devices, CMU ECE)

* Shawn Kelly (circuits, devices, neural implants, CMU ECE and ICES)

* Marlene Behrmann (neuroscience, CMU Psych and CNBC)

* Michael Tarr (neuroscience, head of psychology, CMU Psych and CNBC)

* Dr. Mark Richardson (Director, Adult Epilepsy and Movement Disorders Surgery and Brain Modulation Lab, University of Pittsburgh and CNBC)

The candidate will be expected to interact regularly with the first three, and intermittently with the rest, to lead this project.

Preferred skills: System-level design and hardware implementation experience is a must. Experience in board design will be helpful. Expertise in MATLAB, circuits, neuroengineering/neuroscience, signal processing, information theory, devices, is helpful but not necessary.

The team also includes one Ph.D. and six undergraduate students working on information theory and circuit design for these systems, and actively collaborates with faculty in psychology and neuroscience, and clinicians.

The fellow is expected to focus on system design, implementation, and testing. The concepts and implementation developed by our group lay the foundation for this project. Within one year, the fellow is expected to:

* Lead design and implementation of an ongoing high-density neural recording system project at CMU (using off-the-shelf components), and

* (Collaboratively) experimentally validate it, neuroscientifically and clinically.

As such, this is a challenging yet accomplishable postdoctoral position providing a unique interdisciplinary opportunity to the applicants. Applicants should hold a PhD. Those with a mix of board-design, circuits-design, and/or signal processing/optimization/bioengineering background, with interest in neuroscience/neuroengineering/bioengineering, are especially encouraged to apply.

Interested applicants should send a letter of interest, a CV, and the names and contact information for 3 researchers who can provide a recommendation: --LOGIN--fbee294bd8369b3590fad0633149be0fcmu[dot]edu , --LOGIN--42061f4e27f92718c3b157711ac1eabcandrew[dot]cmu[dot]edu , --LOGIN--b56ae8da0337f866dcf89413249cbb66andrew[dot]cmu[dot]edu . For further information, please send an email to the three email addresses as well.

The position is available immediately and applications will be considered until the position is filled.

• Fully funded PhD position in Statistical Data Analysis at the University of Ghent (Belgium). Received: 04/01/2016.

The lab of Daniele Marinazzo (http://users.ugent.be/~dmarinaz/), at the department of Data Analysis, Faculty of Psychology and Pedagogical Sciences of the University of Ghent, Belgium, is looking for a PhD student.

The position is fully funded for 4 years by the Research Foundation Flanders (FWO).

The research subject involves advanced statistical data analysis of fMRI data.

The student will be part of a research group focusing on the development and validation of new methods for the analysis of neuroimaging data, in the framework of a multidisciplinary collaboration with psychologists and clinicians.

Both candidates with a technical degree and candidates with a psychology degree but an interest in programming and quantitative analyses are encouraged to apply. Knowledge of at least one programming language (python, matlab, R …) and an interest for multidisciplinary research are required.

The University of Gent (www.ugent.be) hosts a vibrant research community and offers excellent facilities to students and employees.

The most likely starting date is October 2016 but earlier appointments can be considered.

Candidates are invited to send a motivation letter and the names of two referees to Daniele Marinazzo (--LOGIN--a24388f6779d1617bd1a73e8b1147654ugent[dot]be )

Informal inquiries and requests for further information are most welcome.