Ofertas diversas
- Tenure-track positions in computer science and cybersecurity at the Rochester Institute of Technology (USA). Received: 13/12/2017, deadline: 01/01/2018.
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.
(1) Two tenure-track assistant professor positions in all areas of computer science that strengthen our department (#3444 BR)
(2) One tenure-track assistant professor position in the area of cybersecurity, including cryptography (#3442 BR)
(3) One non-tenure track teaching position (#3445 BR)
Candidates for the tenure-track positions are expected to have strong commitment to research, doctoral student mentoring, and teaching at the undergraduate and graduate levels. Candidates for the non tenure-track position are expected to have a strong commitment to teaching. Interested applicants should visit http://careers.rit.edu/faculty and refer to the BR number listed above for specific information about the position and the application process. Candidates are encouraged to apply by January 1, 2018.
The computer science department's student-centered programs are home to over 1,200 students pursuing BS, MS, BS/MS, and PhD degrees. Student employment rates upon graduation are over 98%, often with leading technology companies. The department's 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, the department's research presence has increased significantly while maintaining commitment to excellence in student instruction. Students at all levels participate in research projects, including through NSF-sponsored undergraduate research programs.
The department is housed in the B. Thomas Golisano College of Computing and Information Sciences (http://gccis.rit.edu), the largest of RIT's nine colleges. With over 4,500 enrolled students, the college provides many opportunities for research collaborations within and beyond the college.
RIT does not discriminate. RIT is an equal opportunity employer that promotes and values diversity, pluralism, and inclusion.
- Two Research Fellow Positions on Green Data Center at NTU (Singapore). Received: 10/12/2017.
Two Research Fellow positions with competitive remuneration are immediately available at School of Computer Science and Engineering (SCSE), Nanyang Technological University (NTU).
The positions are part of a research project under Singapore’s strategic Green Data Center Program that aims at improving data center energy efficiency. The project will unprecedentedly provide full access to a newly built data center testbed that hosts nearly 100 servers, with system faults, failures, and server hardware damage allowed.
Through extensive experimentation and data analytics, the research will explore basic relationships among server workload, computing performance, hardware component reliability, thermal condition, air flows, and etc under Singapore’s tropic environment condition. The results will provide basis for stipulating new construction and operation guidelines for Singapore's data center industry.
The candidate should have obtained a PhD degree in computer science / engineering (or relevant disciplines) and demonstrated strong research ability by publications on venues in the areas of cyber-physical systems (CPS) and data analytics. Knowledge and experiences with data centers are pluses.
Interested candidates can send CV with full publication list to Dr. Rui Tan at --LOGIN--f4ef479c073ba7e5258b70b76775943antu[dot]edu[dot]sg .
The group that the successful candidates will join is dedicated to CPS and IoT research. We aim to conduct quality research and publish on prestigious CPS/IoT venues. Our past work has been recognized by multiple Best Paper Awards and Runner-Ups.
We sincerely invite candidates with great passion for systems research to join us!
- Software Developer at Rimads (Qatar). Received: 10/12/2017.
Rimads is seeking excellent software developers with BS or MS in computer science (or related fields).
Candidates will contribute to the design and implementation of the backend of a large-scale, artificial-intelligence-based pharmaceutical e-commerce platform. They should demonstrate experience and excellence in designing, prototyping, and delivering scalable multi-tier software. As such, showing existing bodies of work is highly desirable (e.g., links to GitHub repositories). Rimads offers competitive salary packages that commensurate with skills and experience.
Minimal Qualifications:
+ A Bachelor degree in Computer Science or related fields.
+ Proficiency in Python, SQL, JavaScript and Django REST.
+ Background in database applications and distributed systems software development.
+ Strong ability to solve problems and design corresponding algorithms.
+ Ability to independently work on a large code base with a strong sense of self-direction.
+ Demonstrated ability to work in development organizations.
+ Experience in developing testing policies (e.g., unit tests), performing code reviews, and writing documentation.
Preferred Qualifications:
+ Substantial software engineering experience (e.g., two or more years of experience).
+ Knowledge in computer vision and machine learning.
+ Experience in managing a small team of developers.
About Rimads:
Rimads is a new startup company at Qatar Science & Technology Park (QSTP) in Qatar Foundation, Qatar. At Rimads, we are building a novel technology-based medical ecosystem, which involves evidence-based, evolving, and personalized diagnosis, prognosis, treatment, and logistics systems. In particular, we are creating and leveraging computer science techniques to extract, mine, model, and store data at scale from major medical and pharmaceutical sources. In addition, we are designing and developing algorithms that tap into this data to learn and mimic clinical and pharmaceutical reasoning. The major objectives of our algorithms are to: (1) support doctors in reducing diagnostic errors, proactively precluding certain diseases, and recommending personalized treatments; and (2) automate and facilitate medical and pharmaceutical processes that burden patients.
If you are interested to apply for jobs at Rimads, please send your CV to: --LOGIN--846c416dd6ff5d64a756ac36d3508c51ieee[dot]org , CC'ing: --LOGIN--e7e99807e8010ab306c8cb30615fff1frimads[dot]co
- PhD places in vision and robotics at Edinburgh University (UK). Received: 08/12/2017, deadline: 26/01/2018 and 16/03/2018.
Edinburgh University has 3 Centres for Doctoral Training (CDT) that would be of interest to computer vision and robotics students. (See: http://www.ed.ac.uk/schools-departments/informatics/postgraduate/cdts/informatics-cdts)
EPSRC CDT in Robotics and Autonomous Systems - including computer vision:
http://www.edinburgh-robotics.org/
http://www.edinburgh-robotics.org/programme-information
http://www.edinburgh-robotics.org/apply
10 new PhD places
Deadline for applications: Friday 26th January 2018.
Funding is primarily for UK & EC students, but there is a small amount of funding for a few outstanding overseas students.
EPSRC CDT in Data Science - includes analysis of datasets (including `big data') that might arise from computer vision applications:
http://datascience.inf.ed.ac.uk/
http://datascience.inf.ed.ac.uk/about-course/
http://datascience.inf.ed.ac.uk/apply/
10 new PhD places
Deadline for UK/EC students: 26th January 2018
(Deadline for non-UK/EC students has passed)
EPSRC CDT in Pervasive Parallelism - investigating approaches to parallelism that could be used with big datasets, video, etc:
http://pervasiveparallelism.inf.ed.ac.uk/
http://web.inf.ed.ac.uk/infweb/student-services/cdt/ppar/programme-summary
10 new PhD places
Deadline for UK/EC students: 16 March 2018
(Deadline for non-UK/EC students has passed)
- Professors / Associate Professors / Assistant Professors at The Chinese University of Hong Kong. Received: 07/12/2017.
Department of Information Engineering
Professors / Associate Professors / Assistant Professors
(Ref. 170002EJ)
The Department of Information Engineering (IE) has multiple tenure track faculty openings at the level of Professor, Associate Professor and Assistant Professor. In particular, we are looking for strong candidates in the systems area which covers the design and implementation of networking/ distributed systems, cloud, fog and edge-computing, Internet of Things, platforms/ infrastructure for big data analytics and large-scale machine-learning. We are also eagerly seeking new faculty in the areas of AI, machine learning, deep learning, and data science. Outstanding candidates in other areas of information engineering who complement/ supplement our existing strength in communication systems and information theory will also be considered. Further information about the Department can be found at http://www.ie.cuhk.edu.hk.
Applicants should have (i) a relevant PhD degree; (ii) strong commitment to excellence in research and teaching; and (iii) outstanding accomplishments and research potential.
Appointments will normally be made on contract basis for up to three years initially commencing Spring Term or Fall Term of 2018-19, which, subject to performance and mutual agreement, may lead to longer-term appointment or substantiation later.
Applications will be accepted until the posts are filled.
Application Procedure
Applicants please upload the full resume with a cover letter, copies of academic credentials, publication list with abstracts of selected published papers, a research plan, a teaching statement, together with names and e-mail addresses of three to five referees to whom the applicant's consent has been given for their providing reference (unless otherwise specified).
The University only accepts and considers applications submitted online for the posts above. For more information and to apply online, please visit http://career.cuhk.edu.hk.
- Fellowship opportunities at BSC, Barcelona (Spain). Received: 27/11/2017.
Two competitive fellowship openings at BSC with very competitive salaries.
- PhD Student La Caixa INPhINIT. Topic: GPU Architecture.
https://obrasociallacaixa.org/en/investigacion-y-becas/programa-de-becas-de-posgrado/inphinit/programme-description
If you hit on “search for a position” and on “search by project title”, then enter “GPU”, you should find it.
- COFUND MSC fellows (up to 6 years experience after PhD). Not tied to a specific project but to the topics on my team “Accelerators and Communications for HPC”. Not yet open but already looking for candidates.
Contact:
Antonio J. Peña, PhD (--LOGIN--d9c73c7c214eca1b817ce80c87b4fc53bsc[dot]es )
http://www.bsc.es/pena-antonio
- Tenure-track Faculty Positions at the IMDEA Software Institute, Madrid (Spain). Received: 22/11/2017, full consideration: 15/01/2018.
The IMDEA Software Institute invites applications for multiple tenure-track (Assistant Professor) faculty positions. We are primarily interested in recruiting excellent candidates in the areas of Data Science, including machine learning; Privacy; and Systems, including parallel and distributed systems, embedded systems, hybrid and heterogeneous architectures, etc. However, we are open to other areas within the general research focus of the Institute.
Tenured-level (Associate and Full Professor) applications will also be considered.
The primary mission of the IMDEA Software Institute is to perform research of excellence at the highest international level in the area of software development technologies. It is one of the highest ranked institutions worldwide in its main topic areas.
Selection Process
The main selection criteria will be the candidate's demonstrated ability and commitment to research, the match of interests with the institute's mission, and how the candidate complements areas of established strengths of the institute. All positions require a doctoral degree in Computer Science or a closely related area, earned by the expected start date. Candidates for tenure-track positions will have shown exceptional promise in research and will have displayed an ability to work independently as well as collaboratively. Candidates for tenured positions must possess an outstanding research record, have recognized international stature, and demonstrated leadership abilities. Experience in graduate student supervision is also valued at this level.
Applications should be completed using the application form at
https://careers.imdea.org/software/
For full consideration, complete applications must be received by January 15, 2018 although applications will continue to be accepted until the positions are filled.
Working at the IMDEA Software Institute
The institute is located in the vibrant area of Madrid, Spain. It offers an ideal working environment, combining the best aspects of a research center and a university department. Its researchers can focus on developing new ideas and projects, in collaboration with world-leading, international faculty, post-docs, and students. Researchers also have the opportunity (but no obligation) to teach university courses. The institute offers institutional funding and also encourages its members to participate in national and international research projects. The working language at the institute is English.
Salaries at the Institute are internationally competitive and established on an individual basis. They include social security provisions in accordance with existing national Spanish legislation, and in particular access to an excellent public health care system.
Further information about the Institute's current faculty and research can be found at http://www.software.imdea.org
The IMDEA Software Institute is an Equal Opportunity Employer and strongly encourages applications from a diverse and international community and underrepresented groups. The institute complies with the European Charter for Researchers.
- 2 Postdoc positions in Wireless Communication and Networking at Mid-Sweden University, Sundsvall (Sweden). Received: 22/11/2017, deadline: 31/12/2017.
The Communication Systems and Networks (CSN) (https://www.miun.se/en/stc-research-centre/Research-Groups/communication-systems-and-networks/) group at Mid-Sweden University offers one post-doctoral position in the areas of low-power wireless communication and networking for IoT and one in low latency communication for future wireless networks. The CSN group belongs to the research center Sensible Things that Communicate, which is one of the leading research centers in Sweden in the area of sensor networks and systems.
The positions is for one year with possibility to extension depending on funding. The positions are based in Sundsvall. Candidates should have a PhD in computer science, computer engineering, electrical engineering, Signal processing, or related areas, and a track record of publications in high-quality journals and/or conferences. Strong mathematical background in optimization and statistics is necessary. Good written/oral communication skills in English, and ability to work effectively in a collaborative team, are required. Skills and experience in both analytical and empirical research are highly desirable. Experience with low rate devices like IEEE 802.15.4, NB-IoT, PHY waveforms and standards, and RRM techniques for dense massive networks is advantageous.
For more information about the positions and how to apply is given here:
https://www.miun.se/en/meet-mid-sweden-university/career/jobs/vacancy/postdoctor/
https://www.miun.se/en/meet-mid-sweden-university/career/jobs/vacancy/postdoctor2/
Last day to reply is December 31th, 2017.
- PhD Student Position in Systems on Chip at TU Wien, Vienna (Austria). Received: 21/11/2017, deadline: 07/12/2017.
Open position for a PhD Student Position
The Institute of Computer Technology at TU Wien, Vienna, Austria, opens a position for a University Assistant, 25h/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, design and verification of hardware and, a good understanding and skilled usage of the design languages VHDL or Verilog are required.
Competence in relevant areas such as systems on Chip architecture, hardware security, machine learning in hardware, signal processing in hardware, etc. is an asset.
*** Job duties:
Job duties include research and education in 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 December 7, 2017, to --LOGIN--43b9b67a29aac60554e41d852aaa2fcbtuwien[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/10285#p294.8
Item 284.8.2
- Doctoral Studentships at The Alan Turing Institute, London (UK). Received: 20/11/2017.
The Alan Turing Institute is the UK’s national institute for data science founded by the universities of Cambridge, Edinburgh, Oxford, UCL, Warwick, and the Engineering and Physical Sciences Research Council (EPSRC). The Institute is seeking highly motivated and talented individuals to embark on a career in the rapidly emerging field of data science. In line with the Institute’s cross-disciplinary research community, we particularly welcome applications from graduates whose research spans multiple disciplines and applications.
We would be very interested in applicants from this community with an interest in architecture and systems applied across these areas of interest. You can contact Suhaib Fahmy (--LOGIN--b8a5f78f008b6692c5ab17956c3a356dturing[dot]ac[dot]uk ) to enquire about specific projects and other Turing Fellows with related interests.
Turing students will have access to a wide range of exceptional benefits unique to the Institute:
• Expert-led training in research disciplines central to data science
• Access to a range of events, seminars, reading groups and workshops delivered by leaders in research, government and industry
• Opportunities to collaborate on real world projects for societal impact with our current and emerging industry partners
• Expert support and guidance through all stages of the studentship delivered by supervisors who are Fellows of the Turing or substantively engaged with us
• Access to brilliant minds researching a range of subjects with opportunities to collaborate and join or start interest groups
• Networking opportunities through the Institute, university and strategic partners
• Supercharge and speed up your research with access to cutting edge IT resources; Azure cloud (with credits), Cray Supercomputer, Intel cluster, EPSRC Funded Tier 2 HPCs, High Spec HP local desktops with GPUs and UK Supercomputers Archer
• Bespoke HQ designed for optimal study and inter disciplinary collaborations
Studentships include a generous tax-free stipend of £20,500 per annum, a travel allowance and tuition fees for a period of 3.5 years.
Apply at: https://www.turing.ac.uk/opportunities/studentships/
- Fully-funded PhD position on Learning-based wireless resource management for distributed control in cyber-physical systems at Paderborn University (Germany). Received: 16/11/2017.
Control applications become more and more distributed and comprise larger and larger number of entities – cyber-physical systems such as multi-agent robots, SmartGrid or cooperating autonomous vehicles bear witness to this trend. In such large-scale, distributed control, sensor/actuators on one hand and actual controllers on the other hand are not collocated and can often only communicate over wireless links. But doing control over notoriously error-prone, time-varying wireless links is still a challenge.
The project “Network-Informed Control, Control-Informed Networking” (NICCI, https://cs.uni-paderborn.de/cn/research/research-projects/active-projects/nicci/) addresses these challenges. It is part of the German Science Foundation's Priority Program “Cyber-Physical Networking” (SPP 1914, http://www.cpn.itr.ei.tum.de/home/). It is a collaborative effort between the control groups of Paderborn University (Prof. Daniel Quevedo) and Magdeburg University (Prof. Rolf Findeisen) and the Computer Networks group of Paderborn University (Prof. Holger Karl). The current position is hosted at the Computer Networks group, part of the Institute of Computer Science of Paderborn University.
NICCI's core idea is to improve the interaction between a distributed control system and the wireless resource management system. In particular, we are looking into learning techniques to find compact representation of a wireless channel's capabilities over short time horizons and derive best-possible decisions which transmissions should be undertaken between controllers, sensors, and actuators.
This full-time position is currently fully funded for at least two years (extension possible pending grant decisions) at the E13 pay scale of German universities; this corresponds to a starting salary of about 2100€ per month after taxes, insurances, and benefit. It is expected that work in this project leads to publications in internationally leading venues and completes with a PhD degree.
Paderborn University is a medium-sized German university; it's Institute of Computer Science is commonly considered to be among Germany's best ones. Paderborn is a small, safe city in the middle of Germany with very reasonable costs of living.
A successful application must hold a Master degree in Computer Science or a related area (e.g., Computer Engineering) and have very good knowledge about wireless systems and programming (e.g., Python or Matlab). Experience in control, learning, or algorithm design is a plus; willingness to work in an interdisciplinary context between networking and control is required. In addition, very good general communication skills in general and English skills in particular are necessary (knowledge of German is helpful in daily life, but not required).
For all questions or to send your application documents, please contact Prof. Holger Karl by email (--LOGIN--8c5be1b1470c6667076ae847eeeba57fupb[dot]de ), mentioning NICCI in the subject.
The formal job offer is posted here: http://www.uni-paderborn.de/fileadmin/zv/4-4/stellenangebote/Kennziffer3177.pdf.
Application deadline and start date are both as soon as possible.
- One Post-doc and Two PhD Scholarshipsin Data Security & Privacy or Blockchain / Data Analytics in Healthcare/FinTech at Swinburne University, Melbourne (Australia). Received: 16/11/2017, closing date: 28/11/2017.
We are now offering One Post-doc and Two PhD scholarships in the area of Data Security & Privacy or Blockchain; or Data Analytics in Healthcare/FinTech.
1. For One Post-doc, please refer to the website - http://www.swinburne.edu.au/about/jobs/search-apply/ --> Job search --> All vacancies --> “Postdoctoral Research Fellow ( School of Software & Electrical Engineering)”. Alternatively, you can email to Prof Jinjun Chen at --LOGIN--15972e81dee6211fb4f66b70075d1e0eswin[dot]edu[dot]au for further detail.
- 3-year fixed-term
- Salary: Level B $91849 ~ $98691
- Plus 17% Superannuation
- deadline: 5pm 28 Nov 2017
2. For Two PhD scholarships
· Annual stipend $26,288 per year (2017 rate) for three years
· Tuition fee waive for up to four years
· Thesis allowance
· Annual travel fund available
We are looking for highly-motivated, dedicated candidate. Students need to meet Swinburne University's PhD entry requirements (http://www.swinburne.edu.au/research/research-degrees/degrees-programs/phd-doctor-of-philosophy/).
Interested candidates are invited to contact Prof Jinjun Chen at --LOGIN--15972e81dee6211fb4f66b70075d1e0eswin[dot]edu[dot]au with following references:
1. Your CV with your research interest
2. Your transcripts of undergraduate and honors/master degrees
3. Proof of proficiency in English (e.g., TOEFL or IELTS) if English is not your first language
- 8 fully-funded PhD positions on fog/cloud computing at FogGuru H2020 MSCA project (France, Sweden, Germany and Italy). Received: 07/11/2017, deadline: 31/12/2017.
8 full-time PhD positions on Fog/Cloud Computing are available in France, Sweden, Germany and Italy. The positions, offered within the scope of the European FogGuru project, cover a wide range of topics in fog/cloud computing infrastructures, middlewares and services:
- Position 1: Fog computing service roaming techniques (University of Rennes 1, France)
- Position 2: Stream processing operator placement (University of Rennes 1, France)
- Position 3: Autonomous management optimizations based on on-line anomaly detection (Elastisys, Sweden)
- Position 4: Automatic optimization of autonomous management systems (Elastisys, Sweden)
- Position 5: Elasticity mechanisms for distributed stream processing under QoS constraints (TU Berlin, Germany)
- Position 6: Robust data stream optimization under variable traffic conditions (TU Berlin, Germany)
- Position 7: Scalable data pipelines for fog computing applications (U-Hopper, Italy)
- Position 8: Fog computing-enabled IoT situation-aware services (U-Hopper, Italy)
Fog computing is emerging as a new paradigm for powering novel applications and services through the provisioning of a distributed computing infrastructure able to process data closer to users. Fog computing is a natural next step after cloud computing, as it provides substantial advantages in terms of scalability, interactivity and better usage of network resources. Major leaders in the ICT sector (like Cisco, Huawei, IBM etc.) are heavily investing into this innovation line, which is expected to have a major impact on several application domains, in much the same way the cloud is impacting them now.
FogGuru will nurture a generation of technology professionals, specifically trained on fog computing infrastructures and applications, and who will fully master the innovation process stemming from fundamental research towards invention and development of innovative products and services, and to real-life deployment, experimentation and engagement with beta-testers.
Highlights from these positions include:
- An ambitious training program mixing in-depth scientific and technical education in fog computing, a broad technical and soft-skills training, and a state-of-the-art training in Innovation and Entrepreneurship provided by the leading European organization EIT Digital in Rennes.
- A unique living-lab experience in the smart city of Valencia (Spain) where PhD candidates will deploy their technologies in a real urban fog-computing platform, and engage with external beta-testers to evaluate their technologies
- Every PhD candidate will be co-supervised by one university professor and one member of industry in two different European countries.
The partners in the project are Université de Rennes 1 (coordinator), Elastisys, Technical University Berlin and U-Hopper. The project also has the following associated Partners: EIT Digital Rennes (which will provide innovation & entrepreneurship training) and the Valencia smart city living lab Las Naves, where PhD candidates will spend 7 months experimenting their research outcomes in the wild with real users.
Application deadline: as early as possible, and no later than Dec. 31st 2017.
Expected start date: March 1st 2018
Note: these positions are open to candidates from all nationalities but, according to EC rules, candidates must not have resided or carried out their main activity (work, studies, etc.) in the country of the recruiting beneficiary for more than 12 months in the 3 years immediately before the recruitment date. However, the mobility rule applies to the institution where the researcher is recruited, and not to beneficiaries to which the researcher is sent or seconded. So for example a candidate who has stayed more than 1 year in France cannot apply to positions hosted by the University of Rennes 1 but (s)he can apply to positions which include a secondment in this university.
- Open Tenure-Track Faculty Positions in Systems and Other Areas in Computer Science at the University of Minnesota (USA). Received: 07/11/2017, deadline: 30/11/2017.
The Computer Science and Engineering Department at the University of Minnesota is eagerly seeking new faculty in the systems area, broadly construed to cover networking, operating systems, databases, distributed systems, storage systems, cloud and edge computing, and Internet of Things. Potential faculty working at the intersection of these areas as well as systems for big data are particularly welcome.
You can find the information about the open faculty positions at https://www.cs.umn.edu/resources/employment/faculty
I am attaching a flyer about this and other open positions at our department. Please forward to any relevant Ph.D. students, post-docs, industry researchers, and even junior faculty as appropriate. Also feel free to forward to any of your colleagues as you see fit. Also, if you have any strong students that may be more than one year from finishing please let us know, as we are also interested in “pro-active” hires.
- Doctorado Industrial en Electrónica en la Universidad Autónoma de Madrid - Sp Control Technologies (Spain). Received: 02/11/2017.
Requisitos:
- Estar en disposición de empezar la tesis doctoral (p.ej. Máster terminado)
- Buen expediente académico
- Conocimientos de electrónica en general y de VHDL en particular
Se ofrece:
- Tesis doctoral conjunta universidad-empresa (UAM-Sp Control Technologies)
- Contrato de 3 años de 19k€/año
- Integración tanto en grupo de investigación universitario como en empresa tecnológica
Interesados contactar con Ángel de Castro (--LOGIN--4f46cd59c0a799bd8206d51f6b34ab16uam[dot]es )
- Research Scientist/Engineer positions in human-computer interaction and the social sciences at Symantec Research Labs, Mountain View, California (USA). Received: 26/10/2017.
Symantec Research Labs is a global organization, offering the opportunity to work in a talented team of experienced researchers. Team members are encouraged to propose and work on bold new ideas, conduct independent research, produce working prototypes, publish their work at premiere conferences and journals, and actively participate in the research community. Working in close collaboration with Symantec’s senior leadership, the goal of the team is to invent next-generation technologies, as well as to provide thought leadership and technical expertise to the company and the community. Many of the breakthroughs from Symantec Research Labs already better the lives of hundreds of millions of people.
This position requires strength rapidly creating prototypes for solving complex problems. Strength in cryptographic protocols, network protocols, applied crypto, programming, and security are all preferred. For this role, Ph.D. In Computer Science is preferred but not required. Prior security research experience (university research or commercial research) is similarly preferred but not required. Strong technical communication skills are required. As a Senior Principal Research Engineer, you would be expected to set a high standard in rapidly prototyping and evaluating new concepts, both individually at times, and as part of small dynamic teams at other times.
Responsibilities include:
Developing cutting-edge, disruptive technologies to shape the future of cyber-security;
Designing, implementing, and evaluating models and prototypes of new concepts;
Report and present research results and developments internally and externally;
Suggest and engage in collaborations to meet research goals; and
Help prototype and patent valuable intellectual property.
Symantec is an equal opportunity employer. All candidates for employment will be considered without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, state or local law.
- Academic position in Robotics at the University of Edinburgh (UK). Received: 26/10/2017, clossing date: 30/11/2017.
Applications are invited for a Lecturer (Assistant Professor level) or Senior Lecturer or Reader (Associate Professor level) in Robotics to join the School of Informatics, at the University of Edinburgh. The post is based within the School’s Institute of Perception, Action and Behaviour but potentially has links to other Institutes and Schools as detailed below.
We are seeking current and future leaders in the field. The successful candidate will have (or be close to completion of) a PhD, with the expectation that the PhD would be awarded prior to starting the post; an established research agenda and the enthusiasm and ability to undertake original research, to lead a research group; the 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.
We currently have one position available however may wish to recruit additional positions in the case of exceptional applicants. Additionally, 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 below. The level of appointment would be determined by the selection panel following interview in Edinburgh in early 2018.
Appointment will be full-time and open-ended.
Informal enquiries should be directed to the Director of the Institute of Perception, Action and Behaviour, Professor Barbara Webb: --LOGIN--d8f2c8968c4de726609332120574ccd3ed[dot]ac[dot]uk .
Lecturer: Grade UE08 (£39,992 - £47,722)
Senior Lecturer or Reader: Grade UE09 (£50,618 - £56,950)
Further details: https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.display_form
Closing Date: 30-Nov-2017
Vacancy Ref: 041725
Contact Person: Jenny Mallinson
Contact Number: 0131 650 2723
Contact Email: --LOGIN--c30c1c16d7c90cbde2300d9dfa7daa25ed[dot]ac[dot]uk
The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.
- Técnico de investigación en Modelado Conceptual y Desarrollo de Software en el Incipit CSIC (Spain). Received: 23/10/2017, clossing date: 10/11/2017.
El Incipit CSIC, www.incipit.csic.es, busca expresiones de interés de personas interesadas en trabajar como técnico de investigación en modelado conceptual y desarrollo de software aplicados al campo del patrimonio cultural.
Los trabajos consistirán en la construcción de un modelo conceptual del patrimonio cultural a partir de CHARM (www.charminfo.org), y de la implementación de un demostrador software basado en el modelo resultante, utilizando la plataforma Microsoft .NET.
Se espera que los candidatos sean titulados superiores en algún área cercana a la ingeniería de software o el patrimonio cultural, y posean experiencia en modelado y desarrollo de software. La experiencia en patrimonio cultural se valorará muy positivamente. Los candidatos deberán contar con un excelente expediente académico, ser ciudadanos de algún país europeo, y estar en condiciones de concurrir a este puesto a través de una bolsa de trabajo competitiva.
El mejor candidato recibirá un contrato de unos 20 meses, con una dotación económica de unos 26.733 € anuales brutos. El centro de trabajo será la sede del Incipit CSIC en Santiago de Compostela, España. Se espera que la fecha de incorporación sea a comienzos de 2018.
El Instituto de Ciencias del Patrimonio (Incipit) del CSIC se dedica a la investigación básica y aplicada sobre el patrimonio cultural como problema científico, independientemente de la disciplina. El instituto acoge arqueólogos, edafólogos, historiadores, astrofísicos, antropólogos, arquitectos e informáticos, dando lugar a un entorno altamente multidisciplinar donde cada proyecto es un nuevo reto.
Si te interesa esta oportunidad, envía una expresión de interés por email a --LOGIN--2c94be4eab5611f9081cdf41f23e29cfincipit[dot]csic[dot]es antes del 10 de noviembre de 2017. Incluye tu curriculum vitae y una descripción de unas 300 palabras de por qué te interesa este trabajo, en castellano e inglés.
Para más información, contacta con --LOGIN--2c94be4eab5611f9081cdf41f23e29cfincipit[dot]csic[dot]es en cualquier momento.
- PhD positions in “Massively Scalable Secure Computation Infrastructure Using FPGAs” at Northeastern University (USA). Received: 16/10/2017.
We are looking for two PhD students to work on an NSF funded project that brings together FPGA research and data privacy research. The project is entitled: “Massively Scalable Secure Computation Infrastructure Using FPGAs.”
More and more personal data is available through electronic media. Mining this data has recently become a ubiquitous practice among Internet companies, raising significant privacy concerns. Given the benefits of mining behavioral data to both online companies and the society at large, enabling massive data mining practices at scale without jeopardizing user privacy poses a significant challenge. The aim of this project is to design, implement, and evaluate a Massively Scalable Secure computation Infrastructure using FPGAs (MaSSIF). MaSSIF will enable the secure, highly parallel execution of a broad class of data mining algorithms, while providing a strong privacy guarantee: a research institution or a company using MaSSIF will be able to execute any algorithm expressible in the GraphLab programming framework over user data, such as, e.g., PageRank and Matrix Factorization, without learning anything about the data than what is revealed by the output of the computation.
We are looking for one student with FPGA experience. Knowledge of VHDL is a plus. The goal is to target FPGAs in the datacenter such as those available from Amazon web services. If interested, please send a message to Prof. Leeser: --LOGIN--18fb409168c4f034bf5dd9e0f680708bcoe[dot]neu[dot]edu . Include a current CV and describe your FPGA experience.
We are looking for a second student with machine learning and optimization skills. Knowledge of cryptographic protocols is a plus. If interested, please send an email to Prof. Ioannidis, --LOGIN--fd21604f62568c2166a658906fa177c4ece[dot]neu[dot]edu .
- PhD position in flexible spectrum, heterogeneous access, and network virtualization at the Foundation for Research and Technology - Hellas (Greece). Received: 13/10/2017, deadline: 20/10/2017.
Starting Date: November 2017
Duration: 18 months+
Location: Greece
Salary: Marie Curie flat rate for ESRs
Contact: jobs “at” wivi-2020.eu
Deadline for applications: (applications will be evaluated as they come, latest deadline October 20th)
The WiVi-2020 Consortium is recruiting one PhD student as “Early-Stage Researcher” (ESR) at the Foundation for Research and Technology –Hellas (FORTH, Greece), on the research areas of flexible spectrum, heterogeneous access, and network virtualization.
In particular, the following topic is to be assigned to the recruited researcher:
- ESR4: SDN‐based wireless architecture for seamless integration of heterogeneous RATs
The post has secured funding for 18 Months by the EU under the rules of the MSCA ITN EID Scheme and provides a very competitive salary (with fully covered social security fees and additional allowance for family obligations). After the first 18 months, the recruited researcher will be supported during her/his studies according to FORTH's scholarship program. The recruited researchers are required to:
· follow a PhD program at the University of Crete (UoC - Greece)
· spend 50% of their project involvement at CYTA (Greece) or Ericsson (Sweden).
The recruitment should start November/December 2017
by that time the student should no longer have any other obligations (e.g. MSc theses, military, etc.)
Eligibility rules:
1. Career Stage:
The Applicants, at the time of recruitment, must be in the first four years (full-time equivalent research experience) of their research careers and not yet have been awarded a doctoral degree
2. Mobility Requirement:
At the time of recruitment, researchers must not have resided or carried out their main activity (work, studies, etc.) in Greece, 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.
3. PhD Application and Enrollment:
Once selected by the WiVi-2020 consortium for the ESR positions the applicants must apply for PhD studentship at UoC.
4. Required skills
Applicants should be fluent in communicating in English both in speaking and writing. A strong mathematical background in communications and networking technologies as well as on optimization and software development are required. Competences in game theory are preferable skills.
Application Procedure:
The recruitment will follow a three-step procedure, with a first-come-first served policy. i.e. we will evaluate applications upon reception and proceed to evaluate applicants individually and progress them individually along the steps below. The final ranking however will be time-independent.
Step 1. Researcher application
Applicants should send an e-mail to jobs@wivi-2020.eu with subject “WiVi-2020 application” submit their applications via http://www.ics.forth.gr/jobs/en/ using the link “Apply for the position” under the announcement. Applications must include in one single .pdf file the following, in English:
1) CV*
2) Transcript of MSc/BSc studies in English or Greek.
3) Motivation Letter
4) Up to 3 references with full contact details.
5) Research proposal targeting the available position, which should not be more than 3 pages in total.
* CV must (a) be in the Europass format and (b) contain:
· Bachelor degree, date, topic, university
· Master degree, date, topic, thesis, university – do not include the thesis, only the abstract.
· Publications (if any) – do not include the publication, only the abstract and a link to a freely downloadable pdf version of your article.
· Projects (2-line description, role, acquired skills)
· Experience of the following skills and tools (with evaluation of familiarity level), where applicable:
o Mathematical Optimization
o Information theory
o Signal processing
o Game theory
o Networking
o Communications
o Other
Application cutoff date for submission of Step 1: October 20, 2017
Step 2. Online Interview
After the first phase a notification letter will be sent to a short list of candidates and they will be invited to arrange an online interview with the recruitment committee. After this phase, the recruitment committee will rank and admit one candidate to the final step with 1 more candidate being on the reserve list.
Step 3. PhD studentship application
Once selected by the WiVi-2020 consortium for the ESR position the applicant will be required to apply for PhD studentship at the University of Crete. By the EU-H2020 MSCA funding scheme rules, failure to comply with the admittance procedure and requirements in the PhD program of UoC will render the candidate ineligible to be offered the position. Detailed instructions will be provided to the selected candidate.
For more information of WiVi-2020, the ESR projects, the recruiting sites, and the consortium partners, and also the application process visit our project website or email us at --LOGIN--4be580d00e11883d03ceb7c0bbf7d0acwivi-2020[dot]eu .
The WiVi-2020 partners are equal opportunity employers; recognizing the current gender imbalance in the engineering domain, WiVi-2020 is committed to strive for gender balance in the recruited applicants.
- Open research positions at Tampere University of Technology (Finland). Received: 05/10/2017, deadline: 22/12/2017.
Laboratory of Electronics and Communications Engineering (ELT) at Tampere University of Technology is looking for motivated and proactive MSc/PhD graduates to join the research team related to 5G and beyond mobile network developments and future wireless localization solutions.
The call for two-year positions (with a good possibility of extension upon good results) is open to applicants who fulfil the following criteria:
· Candidates have a MSc degree in computer science, radio communications, signal processing or electrical engineering.
· Candidates have knowledge of radio communications and software programming skills (e.g., Matlab, C/C++, Python, embedded systems, etc.).
· Candidates have a willingness to learn new things and to work in a multi-cultural environment in Tampere, Finland.
TUT unit is offering high-quality supervision with freedom and encouragement to develop your ideas in a supportive, inspiring environment.
More information and details on how to apply are found on EURAXESS job portal (https://euraxess.ec.europa.eu/jobs/249961)
- 4 PhD student positions in Electrical and Computer Engineering (ECE), Computer Science (CS), Software Engineering (SE), or Applied Mathematics (AM) at the Polytechnic Institute of Porto (Portugal). Received: 12/09/2017, deadline: 29/09/2017.
The CISTER Research Centre (http://www.cister.isep.ipp.pt/), an internationally renowned research unit in real-time and embedded systems, invites applications for 4 PhD student positions in Electrical and Computer Engineering (ECE), Computer Science (CS), Software Engineering (SE), or Applied Mathematics (AM), to engage in an ambitious research plan in the area of Real-Time & Embedded Computing (RTES).
Embedded processors represent around 96% of all processors available worldwide, and are present in a wide variety of systems that operate in the various sectors of society. Examples include mobile devices, home appliances, as well as highly complex and safety-critical systems such as airplanes, satellites, and cars.
RTES is therefore a key research area whose results are fundamental for boosting the development of the future generation of highly complex and automated computing systems in virtually all application domains. Notable examples are aerospace and defense systems, autonomous transportation systems, Internet of Things, energy aware and green computing, smart factory automation and advanced medical devices and applications. CISTER actively participates to the development of new cutting-edge technologies through major international projects such as ENABLE-S3 (on Novel Validation & Verification Procedures for Highly Automated Systems), Productive 4.0 (on the Digitalization of the European Industry) or SCOTT (on Building Trust in the Internet of Things).
The accepted candidates will engage on a highly ambitious PhD research plan, under the supervision of CISTER's internationally renowned researchers, and will become part of an international and multi-cultural research team with a leading research track on multiple hot topics of RTES.
This research environment is boosted by strong collaborations with various world reputed academic institutions as well as with key international industrial players such as Airbus, Thales, Volvo, Renault, Toyota, Embraer, Honeywell, Siemens, Philips, IBM, Critical Software, TTTech, AVL, EFACEC, GMV or Bosch.
CISTER and the City of Porto will also be at the center of the Cyber-Physical Systems world in 2018, with the organization of the CPSWeek 2018 (www.cpsweek.org).
The accepted candidates will be hosted by CISTER and will enroll in one of the PhD programs offered by its academic partnerships: the PhD Program offered by the University of Porto on ECE (PDEEC program) or on CS/SE (PRODEI program), or the PhD Program offered by the MAP-i initiative (CS/SE) lead by the Universities of Minho, Aveiro and Porto. Highly performing students may be given the opportunity to engage in a Dual PhD Program with the Carnegie Mellon University. More details on these programs can be found at www.cister.isep.ipp.pt/phd/
CANDIDATES' PROFILE
CISTER is looking for highly motivated candidates with a Master degree in Electrical and Computer Engineering (ECE), Computer Science (CS), Software Engineering (SE), Applied Mathematics (AM) or related areas, with an excellent academic record. Candidates with a solid industrial CV that wish to pursue a PhD degree, are also encouraged to apply. Excellent communication skills in English is considered essential and applicants are expected to have command of both spoken and written English.
WHAT CISTER OFFERS
Research grants are provided for up to four years, with a salary ranging from 12.000,00€ up to 14.000,00€ (after taxes) per year, and with tuition costs covered by CISTER. Researching with CISTER is an opportunity to connect in national and international networks of researchers and industries, in an excellent, dynamic, multi-cultural, and challenging research environment. CISTER is housed in a self-contained modern facility with over 2000m2, with labs fully equipped with state-of-the-art technology. CISTER also promotes several cultural activities, soft-skill development initiatives, and Portuguese courses.
Porto is a vibrant city, relatively inexpensive for European standards (see https://www.numbeo.com/cost-of-living/in/Porto) and very well connected through direct flight connections with more than 70 cities worldwide.
APPLICATION PROCEDURE
To apply, please send your CV, a copy of your transcripts with all your course grades, and a research statement, as soon as possible, to the e-mail address --LOGIN--e09b2724df4b44e176fa42ce5c91acfacister-isep[dot]info , with subject “CISTER-PDS2017-03”. Please indicate at the end of your CV at least two independent referees to be requested by our services for reference letters. Candidates with relevant CVs will be selected for an interview.
The selection committee will be formed by key CISTER faculty members and distinguished external academics.
If you have further questions or doubts regarding the application, please contact us via the email: --LOGIN--e09b2724df4b44e176fa42ce5c91acfacister-isep[dot]info
DEADLINE FOR APPLICATIONS: 29 September 2017
You can find more details regarding this call at http://www.cister.isep.ipp.pt/phd/
and feel welcome to know more about us at http://www.cister.isep.ipp.pt
- Post doc position at University of Technology of Troyes (France). Received: 06/09/2017.
In the context of the project Innov’Action BAC funded by the Grand Est Region, we are currently looking for a post doc.
Location : France, Troyes, UTT, ICD CNRS UMR 6281, ERA
Duration : One year
Salary : ~1800 euros
Topics : wireless sensor networks, autonomic networks, data analysis
Candidates should send their CV, list of publications with recommendation letters to Moez Esseghir (--LOGIN--6165414e2712d766067052d5ba06f147utt[dot]fr ) and Leila Merghem-Boulahia (--LOGIN--f68e4521458cb12c277585512a468dd8utt[dot]fr ).
The postdoc is expected to start ASAP.
- PhD positions on Data-Driven Network Control and Orchestration in 5G in Communication System Department of Eurecom, Sophia Antipolis (France). Received: 05/09/2017.
Position: 36 month
Expected starting date: November 1st, 2017 (or earlier)
Location: Eurecom, Campus SophiaTech, in the French Riviera.
University: UPMC (http://www.upmc.fr/en/index.html)
Title: Data-Driven Network Control in 5G
Description: The successful candidate will conduct experimental system research in developing and applying machine learning techniques and data mining/analysis to optimize the performance of radio access networks in emerging 4G-5G computing network applications. Cognitive methods and algorithms will be developed to allow automated network programmability leveraging the network generated information (data-driven network), where the network decisions are made based on user and network predicted performances (in time and space). One simple example to convey the idea would be the decision/action to offload users to less congested BSs to balance the load while maintaining the QoS.
We plan to implement such data-driven control methods/algorithms on the OpenAirInterface (OAI) software defined radio platform following SDN and NFV principles. Performance evaluation and validation will done through emulation and real experimentations in a small scale deployment at Eurecom open5G Lab (a living testbed).
Context: The research work will be carried out in the framework of the 5GPPP European collaborative projects (https://5g-ppp.eu/ phase 2), with strong industrial partners as well as a number of world-class universities. It is funded by the European Commission under the H2020 Framework Programme. The candidate will actively participate to the progress of the projects.
Essential experience for the interested applicants:
- Hold a Master degree or equivalent in Computer Science or Computer Engineering or a closely related area,
- Have understanding of current technology landscape 5G, LTE (Rel 10-14), and SDN/MEC/NFV,
- Strong Machine Learning, data mining techniques, deep learning knowledge and experience,
- Capable of managing large data sets and developing statistical models,
- Solid C and Python programming skills,
- Excellent analytical skills and performance evaluation methodology,
- Demonstrate an excellent level of spoken and written English (English is the working language).
Applications should be sent to:
Prof. Navid Nikaein, --LOGIN--a4a4ff3792d7112d025c38bca710ebe1eurecom[dot]fr
And must include the following information:
- A curriculum vitae, with full contact information, education, positions and academic work,
- A cover letter explaining the candidate's background (relevant publications), qualifications and research interests,
- Copies of relevant diplomas / degree certificates, transcripts of records,
- Copies 2-3 recommendation letters.
- Two-year Postdoc Research Associate and PhD student positions in security protocols and mechanisms for Low-Power Wide-Area Networks (LPWAN) at the University of New South Wales Sydney (Australia). Received: 04/09/2017.
We invite applications from PhD/Master/Bachelor graduates to join a vibrant research team working on a new IoT project that aims to make emerging IoT technology (LPWAN) safer, funded by Australian Research Council Linkage Project scheme.
These two new positions are offered in the School of Computer Science and Engineering, Faculty of Engineering, UNSW, Kensington campus. This position is funded by an ARC Linkage Project grant held by Dr. Wen Hu, A/Prof. Salil Kanhere and Prof. Sanjay Jha in collaboration with an industry partner. The primary objective of this research is to design and develop security protocols and mechanisms for Low-Power Wide-Area Networks (LPWAN), with a particular focus on IoT applications such as smart building systems. This project requires extensive research in the areas of network security and communication protocols. The tasks in this project are quite extensive, involving significant programming effort both in low-level and high-level languages.
The Postdoc Research Associate will, in particular, have the main responsibility for the Linkage project and the expertise to undertake this research. It is also expected that the Research Associate will work closely with the industry partner, with help from an engineering team, to implement and test the security solutions in smart building monitoring solutions.
KEY DUTIES & RESPONSIBILITIES
PostDoc Research Associate
- Develop wireless security protocols for LPWAN
- Publish research findings at national and international conferences and journals
- Work closely with the industry partner to implement security protocols in their IoT products
- Co-supervise postgraduate students associated with your research
- Ensure project deadlines and milestones are identified and met
- Prepare reports, presentations, grant applications, posters and manuscripts for an expert audience and for peer review
- Maintain sound governance framework for research activities and ensure appropriate reporting and documentation of research outcomes
- Communicate effectively with key internal and external researchers
- Perform research collaboratively and individually
- Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on the health and safety of yourself or others
PhD student
- Design, Develop and evaluate wireless security protocols for LPWAN
- Publish research findings at national and international conferences and journals
- Work closely with the industry partner to implement security protocols in their IoT products
- Communicate effectively with key internal and external researchers
- Perform research collaboratively and individually
- Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on the health and safety of yourself or others
SELECTION CRITERIA
PostDoc Research Associate
- PhD in Computer Science (Electrical or Computer Engineering or equivalent) or near completion, preferably in systems security.
- Demonstrated knowledge of and experience with programming languages such as C, C++, NesC and the Contiki operating system.
- Knowledge of signal processing techniques for key-generation.
- Experience with embedded sensing and software-defined radio platforms.
- Good knowledge and understanding of LPWAN technologies
- Excellent oral and written communication skills.
- Proven, or demonstrated excellent potential for, an outstanding publication record.
- Demonstrated ability to work as part of a team.
- Potential to conduct research in wireless network security.
- Demonstrated high level analytical and problem-solving skills.
- Demonstrated capacity to deliver high quality project outcomes in a timely manner.
- Understanding of equity and diversity principles.
- Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.
PhD student
- First Class Honours Bachelor degree in Computer Science or Electrical or Computer Engineering or equivalent
- Excellent oral and written communication skills.
- Demonstrated ability to work as part of a team.
- Potential to conduct research in wireless network security.
Both positions will remain open until filled. Please apply with CV and Cover Letter in one pdf file of less than 4 pages to Dr. Wen Hu (--LOGIN--74da9c75657f03789accf3e0b596a699cse[dot]unsw[dot]edu[dot]au ).
PostDoc Research Associate: two-year fixed-term appointment. Salary will be at academic pay scale Level A, Step 6 (approximately AU$106K package (including 17% superannuation/pension) per annum.
PhD student: fixed-term, 36 months with possible 6-month extension: AU$$26,682 per annum (tax free, 2017 rate). International applicants are required to apply for and be awarded a UNSW Tuition Fee Scholarship (TFS).
ORGANISATIONAL ENVIRONMENT
The University of New South Wales (UNSW) is an Australian public research university. Established in 1949, it is ranked among the top 50 universities in the world, according to the 2017 QS World University Rankings.The School of Computer Science and Engineering (CSE) is part of the Faculty of Engineering at UNSW Australia. The school was founded in 1991 out of the former Department of Computer Science within the School of Electrical Engineering and Computer Science. It is now one of the largest Schools of our kind in Australia. The academic staffs have research focus in areas such as Artificial Intelligence, Databases, Embedded and Operating Systems, Networks, Security, Programming Languages, Service Oriented Computing, Software Engineering and Theory. CSE closely collaborates with Data61, CSIRO.
The CySPri Lab is a research centre based in the School of Computer Science and Engineering (CSE) at UNSW Australia. A broad aim of the CySPri Lab is to conduct leading edge research focused on systems aspect of cybersecurity, privacy and trust (software, hardware and networking) to be benefit of end users and organisations. The lab will also foster strong collaboration between UNSW, industry and Government, disseminating local and international research on ICT systems security, privacy, and trustworthiness to the Australian community, including industry, government, and the research sector.
- Post Doctoral Positions at Simon Fraser University (Canada). Received: 03/09/2017.
Postdoctoral Research opportunity at Simon Fraser University
Project Title: Runtime Software, Performance Monitoring and Architectures for energy and performance efficiency for Heterogeneous Systems with FPGAs
Project Description: Heterogeneous Computing Solutions are now incorporated in platforms ranging from embedded products to the Data Centre. Many of these platforms are required to run multiple workloads that may not be known at design time.
Our goals are to: 1) Investigate how to improve the energy and compute efficiency of heterogeneous architectures through improved system integration and memory hierarchy access for multicore, manycore, and distributed systems. 2) Investigate how to provide system visibility to the programmer and the scheduler for heterogeneous platforms. 3) Investigate how to improve platform virtualization and application mapping for unknown workloads sharing a heterogeneous platform. 4) Investigate how heterogeneous systems can learn (via machine learning or some other mechanism) to efficiently share their resources amongst workloads if unknown applications at run time. 5) Demonstrate our ideas using hardware prototyping and emulation for a machine learning application.
To perform this research, we have created a configurable, FPGA-based, RISC V processor that can be used to investigate symmetric, asymmetric, and heterogeneous multicore configurations.
Qualifications: We are looking to hire a highly qualified and motivated researcher with the vision to recognize the research potential of our existing platform as well as the possible future extensions. A successful candidate will have a PhD in Computer/Computational Science, Electrical or Computer Engineering, and/or a closely related field.
Qualified applicants should have completed a thesis research project that includes an HDL design component and be comfortable navigating large code bases. They should also be knowledgeable as to modern computer architecture and have experience with a CAD flow from one of the major FPGA vendors. Familiarity with the Linux kernel and experience with either Xilinx’s Vivado tools or Intel’s Qsys is preferential, but not required.
Expectations: The successful candidate will have the opportunity to work with industry, gain experience in leadership, as well as publish and participate in international research conferences and a nation wide research network.
Location: Simon Fraser University’s Burnaby Campus is situated in a spectacular mountain-top setting just outside of Vancouver, Canada, a vibrant, cosmopolitan city, which consistently rates as one of the most desirable cities in the world in which to live. Vancouver is nestled between the ocean and the dramatic mountains of western Canada's coast range. Outdoor activities such as skiing (including the world-class resort of Whistler/Blackcomb), hiking, mountain biking, and boating are all within easy reach of the university.
To Apply : Please send a targeted cover letter expressing your suitability for the position along with a complete CV and a list of at least 3 references.
Ideally, the candidate will be able to start as early as Fall 2017 for a period of 1 year, with the possibility of an extension. Applications will be reviewed starting September 30th and will continue until the position has been filled.
If interested in applying, please contact Dr. Lesley Shannon at --LOGIN--6e878f5367c582556777f2ad2311e361ensc[dot]sfu[dot]ca .
- Phd position in document analysis and structuration of heterogeneous content at the University of La Rochelle (France). Received: 27/07/2017, deadline: 01/09/2017.
The L3i laboratory, University of La Rochelle - France, has one open PhD position in computer science, in the specific field of document analysis and structuration of heterogeneous content (text, image, videos).
Position available from: October 1st, 2017
Salary: 1350 € / month (net)
Place: in the L3i lab at La Rochelle, France
Specialty: Computer Science / Image Processing / Document Analysis / Pattern Recognition / Graph based approaches / Deep Learning
Candidates should send a CV and a motivation letter to --LOGIN--db1bed5bbcad0f801bc363fe8cd9515funiv-lr[dot]fr 1st of September.
More details available at this link:
https://ao.univ-lr.fr/index.php/s/F52sVGjKCoZLG2N
- Post-Doctoral Positions in Mobile Malware Analysis at Royal Holloway, University of London (UK). Received: 24/07/2017, deadline: 07/08/2017.
The Systems Security Research Lab (http://s2lab.isg.rhul.ac.uk), led by Dr Lorenzo Cavallaro within the School of Mathematics and Information Security at Royal Holloway, University of London, is seeking to appoint 2 Post-Doctoral Research Assistants (PDRAs) to work on the EPSRC-funded project entitled “MobSec: Malware and Security in the Mobile Age”.
The overall goal of MobSec is to improve the security of mobile devices by reducing the risk from installing and using third party applications. Outcomes of the project include a large-scale study on the impact of vulnerabilities in hybrid Android apps as well as novel techniques for facilitating and interpreting the results of dynamic analysis of Android apps and malware. For example, a recent result from MobSec, which will be presented at USENIX Security 2017, shows how to identify concept drift in machine learning models used for malware classification.
More information on the project is available at:
http://s2lab.isg.rhul.ac.uk/projects/mobsec/
The Principal Investigator Dr Lorenzo Cavallaro’s research expertise is in systems security and malware analysis with interests in program analysis and machine learning---two main disciplines underlying Dr Cavallaro’s research; in addition, the project benefits from the expertise of Dr Johannes Kinder (Co-Investigator, program analysis, and symbolic execution), a partnership with McAfee Labs as well as strong links with other key players.
Application deadline is on Mon Aug 7, 2017, and positions will be available from Oct 2, 2017 (but earlier or slightly later dates can be negotiated), for a fixed term period of 24 months each (18 months + 6 upon Funder approval). This post is based in Egham, Surrey, where Royal Holloway, University of London is situated in a beautiful, leafy campus near to Windsor Great Park and within commuting distance from London.
Royal Holloway, University of London is one of the fourteen Higher Education Institutions (HEIs) in the UK recognized by the UK National Cyber Security Centre (NCSC) as a Centre of Academic Excellence in Cyber Security Research, and only one of the two HEIs awarded with a Centre for Doctoral Training in Cyber Security.
To apply, please complete the application form and submit (i) a CV, (ii) a cover letter outlining how you fit into the project, and (iii) a personal research statement, by visiting the link:
Applications with missing documentation may not be fully considered.
For an informal discussion about the post, please contact the PI, Dr Lorenzo Cavallaro, at --LOGIN--3a186db7ca5152da0c58d067cfa7189brhul[dot]ac[dot]uk or +44 (0)1784 414381.
- Post-Doc Position on Biometrics at the University of Milan (Italy). Received: 22/07/2017, deadline: 31/08/2017.
UNIVERSITY OF MILAN, DEPT COMPUTER SCIENCE
The Biometric Systems Lab is offering a post-doc position for one year.
Research topic: multi-biometric fusion for less-constrained biometrics, including on-the-move biometries, low-cost sensors, and poor environmental conditions.
Required knowledge: person recognition technologies by face or fingerprint, signal and image processing foundations, neural networks foundations.
Preferred additional knowledge: multi-biometrics, data fusion, classification.
Additional skills: matlab.
Work location: Dept Computer Science, via Bramante 65, Crema, Italy.
Yearly salary: approximately 20,000 euro, income tax exempted.
Work beginning: tentatively October 2017.
Interested candidates should send CV to prof. Vincenzo Piuri at --LOGIN--3678d08c12e763eacada70c23f2c0f59unimi[dot]it , by August 31st, 2017. Late applications may be considered too.
- PhD Scholarships at Macquarie University, Sydney (Australia). Received: 19/07/2017, deadline: 31/07/2017.
Macquarie University is offering a number of research scholarships for international PhD candidates.
If you are a strong potential PhD candidate, and are interested to work with either of us on a topic related to any of the following:
* Logical and Probabilistic Artificial Intelligence;
* Knowledge Representation and Reasoning;
* Natural Language Processing; and
* Trust Dynamics.
then now is a good time to apply; the deadline is approaching fast: 31/07/2017.
You can find more information about the application process here:
http://www.mq.edu.au/research/phd-and-research-degrees/scholarships/hdr-main-scholarship-rounds
Should you have any further question, please feel free to contact us
Abhaya Nayak (--LOGIN--e7588c4f7555406f9f6bc08f4c303b87mq[dot]edu[dot]au )
Rolf Schwitter (--LOGIN--b54c6a85432b54c669ded7504b4afb58mq[dot]edu[dot]au )
- Contrato de investigación FPI en neurociencia humana en la Universidad de Granada (Spain). Received: 19/07/2017.
Buscamos a una persona con interés y alta motivación para realizar una tesis doctoral en el ámbito de investigación de la neurociencia humana. Este trabajo se llevará a cabo en el Centro de Investigación Mente, Cerebro y Comportamiento (CIMCYC; http://cimcyc.ugr.es) de la Universidad de Granada.
El contrato F.P.I. ofertado tiene una duración de 4 años y está asociado al proyecto de investigación “Mecanismos neurales de control cognitivo en contextos de novedad de tareas” (ref. PSI2016-78236-P), financiado por el MINECO y cuya IP es María Ruz. La persona seleccionada se integrará en el laboratorio de Neurociencia Humana (www.ugr.es/~mruz) del grupo de Neurociencia Cognitiva (http://neurocog.ugr.es/) de la UGR. En este proyecto tenemos como objetivo aplicar técnicas de análisis de datos de neuroimagen avanzadas para investigar cómo el cerebro representa información y se prepara con antelación para afrontar situaciones cognitivamente demandantes. La metodología de neuroimagen a utilizar será, principalmente, la resonancia magnética funcional.
Para ello, buscamos a personas con experiencia previa (a nivel de máster) en investigación en humanos relacionada con neurociencia, análisis de neuroimágenes y/o cognición (e.g. formación en física, ingenierías, informática, psicología, etc. relacionada con la neurobiología). Se valorarán, además, las habilidades de programación (e.g. Matlab, Python) y el conocimiento del idioma inglés.
Los/as candidatos/as interesados/as deben ponerse en contacto con María Ruz (--LOGIN--90626326dbc0ba6f2bd3cc3ed7ac65dfugr[dot]es ) enviando su CV, una carta de motivación y la información de contacto de dos personas que puedan ofrecer cartas de referencia.
- Beca FPI en el laboratorio de Psicología, Ergonomía y Actividad física de la Universidad de Granada (Spain). Received: 17/07/2017.
Beca FPI en el laboratorio de Psicología, Ergonomía y Actividad física (http://peaf.ugr.es), situado en el Centro de Investigación Mente Cerebro y Comportamiento, Universidad de Granada, Granada, España.
Estamos buscando un/a candidato/a para una beca FPI (4 años, con revisión anual) asociada al proyecto PSI2016-75956-P (MINECO) que investiga los mecanismos (neuro)fisiológicos y cognitivos que subyacen a la relación entre el ejercicio físico y el cerebro y la cognición. Los experimentos conllevarán la recogida y análisis de datos de electroencefalografía (EEG), electrocardiografía (ECG) y de comportamiento.
El/la candidato/a debe tener un Master de investigación en algún área de interés para el estudio de la Cognición, Cerebro y Comportamiento humanos (que incluya el análisis de datos (neuro)fisiológicos; e.g., Neurociencia Cognitiva, Biofísica, Ingeniería, Informática, etc.).
El/la candidato/a debe tener habilidades de programación (preferiblemente en el entorno Matlab), así como buen conocimiento del inglés (oral y escrito). Se valorará la experiencia previa en el análisis de datos electrofisiológicos (EEG, ECG o ambos) y de comportamiento.
Los candidatos interesados deben ponerse en contacto con Daniel Sanabria Lucena, --LOGIN--74bd572ba397597431b56b15f3776dd9ugr[dot]es
- Two Postdocs in Computer Networks at Dublin City University (Ireland). Received: 14/07/2017, closing date: 04/08/2017.
Two postdoctoral researchers with computer and electronic engineering background are required to work on the EU project NEWTON (http://newtonproject.eu).
They will work part of the Performance Engineering Laboratory (http://www.eeng.dcu.ie/~pel) at Dublin City University - Ireland.
More details:
http://www.dcu.ie/hr/vacancies/current.shtml
- PhD positions in Satellite Systems and Mobile Networks for Telecommunications at the University of Siena (Italy). Received: 05/07/2017, deadline: 17/07/2017.
The University of Siena (Italy) has now opened the online application procedure for PhD candidates in engineering.
Submission deadline is July 17 (14:00 CET). You can find the description (only in part in English) at the following page:
On this page you can also find the link for the online application (the online form is in English).
We have open positions with free topics. I am looking for PhD candidates on the following subjects (in order of priority in relation to running project activities):
1) DVB-S2X scheduling in combination with beam hopping and precoding.
2) Network coding applications to HTS satellite systems
3) Satellite – 5G integration: joint PHY precoding and traffic scheduling
4) D2D joint scheduling, pairing and power control schemes (interference avoidance) for SFR-based LTE-A systems
Pre-Requirements:
1) Software: use of Ns-3 and Matlab
2) Background: mobile&satellite communications, 5G, cross-layering, networking, convex optimization, PHY
If you feel you have high-profile master graduating students (top 3%) that like to carry out PhD research on the above topics in Siena, under my guidance, please provide this email to them and ask them to contact me asap. Their activity will be integrated with the research activity carried out in the lab (http://www3.diism.unisi.it/ricerca/gruppo.php?id=40). My home page is available at the following link: http://www.dii.unisi.it/~giambene/index.html
The selection (only based on the curriculum submitted online) is quite strong. For the online application a one-page description of the selected research subject for PhD activity is needed; please contact me to (re)define this description. The candidate should have a 5-year (master level) degree in Engineering. This title must be achieved by October 2017.
- PhD Scholarship on Theoretical Quantum Communications at the University of New South Wales, Sydney (Australia). Received: 03/07/2017, deadline: 21/07/2017.
UNSW PhD Scientia Scholarship on Theoretical Quantum Communications available
School of Electrical Engineering, University of New South Wales (UNSW Sydney), Australia.
The scholarship includes:
· $40K a year stipend for four years
· Tuition fees covered for the full 4 year period
· Up to $10K each year to build your career and support your international research collaborations.
International Students Welcome
Please apply here
http://www.2025.unsw.edu.au/apply/scientia-phd-scholarships/optimisation-satellite-based-quantum-communications
Deadline for prospective applicants to contact supervisors regarding support: 21 July 2017.
Further information on UNSW Scientia scholarships scheme and application process is available at:
http://www.2025.unsw.edu.au/apply/?interest=scholarships
Project Summary: Optimization of Satellite Based Quantum Communications
Quantum communication via low-orbit satellites offers up a paradigm shift in telecommunications. Providing for unparalleled communication security, this emerging technology will also lead us into the development of the global quantum internet. This research area was given an enormous boost with the recent launch of the world's first quantum satellite. This new satellite will create entangled photon pairs, beaming them down to earth for subsequent processing and use in a range of communication scenarios. In this research work we will leverage optical quantum communications, atmospheric channel modelling, and control theory to deliver novel and optimized quantum communication protocols specifically designed for the difficult atmospheric channels traversed by entangled photons such as those leaving a quantum-enabled satellite. We will consider hybrid architectures involving discrete and continuous variable quantum states in conjunction with feedback control based on channel assessments. Our work will lead to state-of-the-art quantum communication protocols that optimize secure communication throughput over very large distances.
Further information can be obtained from A/Professor Robert Malaney (--LOGIN--72bfe95dc1f426bef8c98dcec350bb79unsw[dot]edu[dot]au ).
- PhD Position in Network Coding and Cloud Technologies at Aarhus University (Denmark). Received: 03/07/2017, deadline: 01/08/2017.
Adaptive Network Coding to Develop Future Networks and Cloud Technologies
Applications are invited for a PhD fellowship/scholarship at Graduate School of Science and Technology, Aarhus University, Denmark, within the Electrical and Computer Engineering programme.
Deadline for prospective applicants to contact supervisors regarding support: 1 August 2017.
The position is available from 1 November 2017 or later.
For details of the position and application process, we refer excellent candidates to:
http://talent.au.dk/phd/scienceandtechnology/opencalls/calls-on-specific-projects/august-2017/adaptive-network-coding-to-develop-future-networks-and-cloud-technologies/
The scholarship covers 3 years of study at the Department of Engineering at Aarhus University: stipend, tuition fees and travel.
- PhD Scientia Scholarship in IoT Security at the University of New South Wales, Sydney (Australia). Received: 03/07/2017, deadline: 21/07/2017.
School of Computer Science and Engineering, University of New South Wales (UNSW Sydney), Australia
The UNSW Scientia PhD Scholarship Scheme is part of our dedication to harnessing our cutting-edge research to solve complex problems and improve the lives of people in local and global communities. Scientia scholars will have a strong commitment to making a difference in the world with demonstrated potential for contributing to the social engagement and/or global impact pillars of the UNSW 2025 Strategy.
Project Summary:
Current Internet of Things (IoT) ecosystems rely on centralized brokered communication models where all devices are identified, authenticated and connected through cloud servers. This model is unlikely to scale as billions of devices are connected. Moreover, cloud servers will remain a bottleneck and point of failure that can disrupt the entire network. This centralisation also implies that a select few entities amass large quantities of personal and sensitive information. This project seeks to explore a decentralized approach to IoT networking based on blockchain technology. Blockchain makes trustless, peer-to-peer messaging possible and has already proven its worth in the world of financial services through cryptocurrencies such as Bitcoin, providing guaranteed peer-to-peer payment services without the need for third-party brokers.The project will investigate new theories, methods, optimizations and system mechanisms which will form the basis for a novel distributed framework for providing security and privacy for IoT.
The scholarship includes:
· $40K a year stipend for four years
· Tuition fees covered for the full 4 year period
· Coaching and mentoring will form a critical part of your highly personalised leadership development plan
· Up to $10K each year to build your career and support your international research collaborations.
The PhD research student will work with a team comprised of Associate Professor Salil Kanhere (CSE), Prof. Liming Zhu (CSE) and Dr. Eric Lim (Business). Further information can be obtained from Associate Professosr Salil Kanhere (--LOGIN--ab0e46087b68d3d451a23fae4be6651cunsw[dot]edu[dot]au ).
Deadline for prospective applicants to contact supervisors regarding support: 21 July 2017.
Further information on UNSW Scientia scholarships scheme and application process is available at:
http://www.2025.unsw.edu.au/apply/?interest=scholarships
The above project is available at:
http://www.2025.unsw.edu.au/apply/scientia-phd-scholarships/securing-internet-things-using-blockchains
- 23 plazas de doctores para Innovación Industrial en la Universidad de Cádiz (Spain). Received: 03/07/2017, deadline: 19/07/2017.
La Universidad de Cádiz convoca 23 plazas para doctores con experiencia en el ámbito de la innovación y la transferencia. De ellas 4 requieren una antigüedad en el grado de doctor de al menos quince años (Investigador Distinguido) y para las otras 19 (ASCETI) no se exige, en general, un número mínimo de años desde la finalización de la tesis doctoral.
Los contratos serán por 4 años y las retribuciones brutas son de 52.000 € año y complementos anuales de 3.000 € ligados al logro de objetivos para el Investigador ASCETI, siendo de 100.000 € para el Investigador Distinguido.
Los investigadores contratados se incorporarán a equipos multidisciplinares para la realización de proyectos de investigación, innovación y desarrollo industrial en los que la Universidad de Cádiz participa con importantes empresas de proyección internacional con factorías en la provincia de Cádiz.
Además, a cada investigador se le asignará un doctorando (que tendrá un contrato pre-doctoral) para que le dirija su Tesis Doctoral.
Los ámbitos de trabajo son: Visión Artificial, Big Data, Ciberseguridad, IoT, Computación en la Nube, Análisis Predictivo de Procesos Productivos, Robótica Industrial, Investigación en Acero, Metrología Dimensional y Mecánica, Monitorización y Sensorización, Soldadura, Ingeniería se Superficie de Aleaciones, Fabricación Aditiva, Energías Renovables Marinas, Ingeniería Naval, Diseño de Equipos Electrónicos, Ahorro y Eficiencia Energética en la Industria.
El plazo de solicitudes es del 30 de Junio al 19 de Julio de 2017, y se prevé la incorporación a la Universidad de Cádiz en septiembre de 2017.
Toda la información relativa a la convocatoria y plazas convocadas (con todos los detalles de requisitos, actividad a realizar y retribución) puede consultarse en:
http://vrteit.uca.es/convocatorias/personal-conv/programa-de-atraccion-de-talento/.
Para cualquier pregunta no dude en contactarnos: --LOGIN--bf73969bf6ee399277d3edc0712cd5d0uca[dot]es
- PhD position on Smart radio resource management in heterogeneous ITS-G5 / 5G vehicular networks at VEDECOM, Versailles (France). Received: 30/06/2017.
Mission and activities:
Nowadays, the security of traditional and autonomous vehicles is one of the most important issues facing automotive industries and researchers. Wireless Vehicular Ad-hoc NETworks (VANETs) enhance road safety by allowing vehicles and other road users to exchange information. As an example, vehicles can use VANETs to disseminate their perception of the surrounding environment or their present position. In this way, several potentially critical driving situations can be avoided.
The present European and American standards for Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communications, collectively defined as Vehicle-to-Everything (V2X) communications, are both based on the IEEE 802.11p standard, with minor variations. This standard is based on OFDM modulation. In Europe, V2X communications have been allocated 5 contiguous radio channels of 10 MHz each in the 5.9 GHz band (also called ITS band).
However, OFDM modulation produces meaningful spurious emissions. Hence, it is ineffective to communicate using OFDM in one of these 10 MHz radio channels while other OFDM-based communications are ongoing in the adjacent channels.
Starting from these considerations, this thesis will explore the possibility of allocating two (or more) of the 10 MHz-wide channels of the ITS band for non-OFDM-based vehicular communications, so as to avoid having any two adjacent channels being used by OFDM-based transceivers.
In particular, the candidate will evaluate the performance of the new Radio Access Technologies (RAT) and waveforms proposed for future 5th-generation (5G) networks. Moreover, he/she will investigate their integration in the ITS band and their compatibility with the 802.11p.
A major scientific problem that this thesis will address is the optimization of the PHY layer in presence of interference due to spurious emissions from adjacent OFDM-based channels. Indeed, this interference is expected to be time- and frequency-variant, and particular care will have to be taken in designing an effective Radio Resource Management (RRM) scheme and in appropriately selecting the Modulation and Coding Scheme (MCS) to be adopted in each subcarrier (or block of subcarriers) to cope with a given time-frequency interference pattern. To this aim, the candidate will have to devise, implement and test an effective scheme to learn and predict the interference.
Tasks
- State of the art of the proposed subject
- Performance Assessment (OFDM spurious emissions impact, 5G RATs performance)
- Design of machine learning-based methods to solve the described problem
- Implementation and Tests on Software Defined Radio
Tools:
The main tool the candidate will be using is a Software Defined Radio (SDR). SDR is an increasingly adopted technology in industry and research. It defines software chains or flow graphs models for wireless transmission and reception chains, i.e. connected signal and data processing blocks. Flow graphs define processing steps from packet construction to baseband waveform generation and vice versa. The GNU Radio toolkit and USRP (Universal Software Radio Peripheral) are an open-source SDR with numerous possibilities.
Other hardware and software tools to be used are:
- GNU Radio toolkit
- MATLAB
- COTS transceivers implementing the IEEE 802.11p protocol
- USRP B210 from Ettus Research
Keywords
V2X communications, Radio Access Technologies, Machine learning, IEEE 802.11p, Software Defined Radio, 5G waveforms
Skills and profiles
- Knowledge and/or experience on wireless digital communications
- Knowledge and/or experience on C++ programming languages and open source software (Linux)
- Autonomy / Curiosity
- Good command of written and spoken English (mandatory)
Our Institute
VEDECOM was created in February 2014 and is an Institute for Energy Transition (ITE) established as part of the French government’s ‘Investment for the future plan’ (Programme d’Investissements d’Avenir or PIA). The Institute is dedicated to individual, carbon-free and sustainable mobility.
It comes under the ‘Autonomous vehicle plan’ and was recently added to ‘Eco-mobility’, one of nine ‘solutions for future industry’ that form part of a government scheme called ‘Nouvelle France Industrielle’, designed to reinvigorate the country’s industry. With the backing of its founders and of the Mov’eo competitivity cluster since 2010, VEDECOM is a partnership-based foundation belonging to Versailles Saint-Quentin-en-Yvelines University. The Institute’s 40 members include firms in the automotive and aviation sectors, mobility ecosystem infrastructure and service operators, academic research bodies and Ile-de-France local authorities, all working together in a pioneering manner.
Contact for questions and application
Candidates are invited to contact Rafik Zitouni and Mattia Minelli:
--LOGIN--3cb540f78b782ce05332a935dc0a3528vedecom[dot]fr
--LOGIN--63c3fe98e144646d67240112de4c66b5vedecom[dot]fr
Please send a detailed CV, a motivation letter as well as transcript from the last two years.
A recommendation letter would also be appreciated.
The duration of the Ph.D. thesis is 36 months.
Monthly net salary: around 1600€ per month
Date of beginning: October 1st, 2017
- Two Faculty Positions at Universidad Técnica Federico Santa María, Santiago (Chile). Received: 30/06/2017.
The Department of Informatics at Universidad Técnica Federico Santa María, Chile, invites applications for two faculty positions in our Campus San Joaquín, Santiago. The areas are:
1) Programming languages, computer systems and networking, distributed systems, operating systems, computer architecture, and cyber-security.
2) Information and socio-technical systems, intelligent systems, decision support systems, system modeling and simulation, data analytics, and data visualization.
More information in:
https://www.inf.utfsm.cl/applications
- PhD/PDF Positions on Wireless Sensor Network at the University of Western Ontario (Canada). Received: 29/06/2017.
Context: Design/development of a wireless sensor network based remote monitoring system for harsh industrial accident environment
Specific focus areas for the open positions: Development and implementation of light-weight sensor network stack; Wireless sensor network simulation; Wireless sensor network deployment strategies in industrial environment
Full funding will be considered for successful candidates.
Interested candidates are strongly encouraged to submit their CV to Dr. Ataul Bari at --LOGIN--d711dc15815df2393ae3868410b92d55uwo[dot]ca
- Funded PhD position on compilers for reconfigurable processor at Osnabrueck University of Applied Sciences (Germany). Received: 27/06/2017, deadline: 24/07/2017.
Please see
for a research assistant position (for PhD candidates) at Osnabrueck University of Applied Sciences.
- 3 PhD positions in Smart Behaviour Mining, Human-Computer Interaction and Virtual Coaching at the University of Twente (The Netherlands). Received: 26/06/2017, deadline: 21/07/2017.
In the context of the European Horizon-2020 project Council of Coaches, the University of Twente and Roessingh Research and Development are looking for three highly motivated PhD candidates to help shape the future of virtual coaching technologies in the healthcare domain. Two positions are available at the University of Twente, and one at Roessingh Research and Development (details inside).
You will be working in a highly interdisciplinary and international research project – Council of Coaches. The project is an international collaboration between Universities and companies from the Netherlands, Belgium, Denmark, the United Kingdom, Spain and France. The project introduces a radically new virtual coaching concept based on multiple autonomous, embodied virtual coaches, which form together a personal council that coaches older adults towards a healthy lifestyle. Each coach has his own expertise, personality and style of coaching; they might not always agree with each other, but they all share a single goal: to support the user across every aspect of well-being, including physical, social, cognitive and mental support.
The project thus aims to develop a tool in which virtual embodied coaches form a team of experts that can discuss amongst themselves and with the user how the user could improve his healthy lifestyle behaviors. The project combines state of the art 3D Virtual Avatars with language and reasoning technology and applies this to the area of lifestyle and behavior change coaching.
Positions:
The three available PhD positions focus on three distinct, but aligned sub-tasks of the project:
• Position #1: Smart Behavior Mining (University of Twente)
• Position #2: Human-Computer Interfaces (University of Twente)
• Position #3: Coaching Strategies (Roessingh Research and Development)
Detailed information: PhDVacancies_UniversityofTwente_H2020Project
- PostDoc in Computer Science at Karlstad University (Sweden). Received: 22/06/2017, deadline: 31/08/2017.
The Faculty of Health Science and Technology has an opening for a full-time postdoctoral position at the Department of Mathematics and Computer Science in the field of computer networking with focus on Next Generation Datacenters. The position is a full-time position for two year. The starting date for the position is by mutual agreement within the time span October 1, 2017 and December 1, 2017.
The post-doctoral researcher will work in the framework of the research profile HITS funded by the Knowledge Foundation of Sweden. The research profile focuses on the design, implementation and evaluation of novel solutions to support high quality networked services in an increasingly mobile and dynamic world, focusing on Cloud based service delivery. For this post, we are working together with Ericsson AB to design and develop advanced mobile networking and service delivery solutions for the future 5G networks, which will be hosted in Distributed Cloud Environments. Work objectives are mobile networks solutions design and modeling, performance evaluations, research prototype software development, publications. The project is to be conducted within a unique research group with strong track records in transport layer protocols, software defined networking, and wireless networks. English is the working language in the research group.
Knowledge or experience in principles and tools for Software Defined Networking (SDN), Programmable Dataplanes (such as P4), and Network Function Virtualization (NFV) are required. Knowledge on Cloud/Container Platforms such as OpenStack or Docker are beneficial. Good mathematical skills in the area of optimization are a benefit. Experience in prototyping R&D concepts as well as programming proficiency in Java/Python and familiarity with software development under UNIX-based system (Linux, FreeBSD, etc.) is of benefit. Experience from participating in national and international research projects with partners from academia and industry is also an advantage. A strong publication record at top-tier research journals/conferences (e.g., IEEE Transactions) together with strong interpersonal communications skills will be a definitive advantage.
Karlstad University takes pride in combining active external cooperation with academic excellence. Karlstad University has around 16 000 students and a staff of over 1 200 members.
Democratic principles, equality and diversity are cornerstones of the University. We value the enriching presence of diverse backgrounds and competencies among students and staff.
Application deadline: 2017-08-31
More information: https://kau.mynetworkglobal.com/se/what:job/jobID:156056/iframeEmbedded:0/where:4
- Fully Funded PhD position in Information-Centric Networking at Bournemouth University (UK). Received: 21/06/2017, closing date: 02/07/2017.
A fully-funded PhD position in Information-Centric Networking (ICN) is now available for application with the closing date on 2nd July 2017. The expected start date of the PhD is in September 2017. The research targets the provision of information resilience by exploiting ICN premises in large-scale communication networks under perturbations.
For more details, please follow the link below.
- PhD at CerCo, Toulouse (France). Received: 20/06/2017.
Beating Roger Federer:
Modeling visual learning and expertise through a bioinspired neural network embedded in an electronic device
Goal: PhD grant.
When: starting from September 2017 (date may be flexible to some extent)
Topic: How do expert tennis players, like Roger Federer for example, predict if a ball will bounce in or out the field to decide if it should be played or not? After thousands of trajectory presentations, best champions have developed extraordinary skills in such a task, but little is known on how the visual system turns selective to spatiotemporal properties of the visual stimulus (e.g., 3D position, velocity and acceleration) and learns how to make an efficient use of it.
The goal of the project is to build an embedded system – based on FPGA circuits and ARM processor – an artificial neural network which would replicate – and perhaps beat – the visual and anticipatory performances of these expert players.
To achieve this goal successfully, we will develop a bio-inspired neural network, based on some of the key properties of human vision: the Smart NeuroCam (GST company) will be used to reproduce the retina functioning. It triggers its message under the form of spikes, in an asynchronous way (without any concept of frame per second), responding to spatial or temporal changes in the pattern of illumination. Several kinds of pre-processing filters can be implemented in VHDL language directly in the FPGA circuits, and the output is then sent to a neural network. The artificial network will learn to use this message, applying a simple learning rule, the Spike-Timing-Dependent Plasticity (STDP). This rule allows each neuron to become selective to a particular property of the stimulus, completely autonomously and with no supervision. Several layers will be built to allow perceiving more and more complex properties of the visual scene. Once the network will be established, its performances will be assessed in different conditions of learning and compared to those of the best tennis players.
The project is funded by a French National Research Agency (ANR), involving two sites and several researchers:
- Robin Baurès, Benoit Cottereau, Timothée Masquelier and Simon Thorpe, CerCo, Toulouse.
- Michel Paindavoine, GST, Dijon.
Where: The candidate will be based at CerCo, Toulouse (France), and will make the interface with the two sites, with regular trips. The computational neuroscience part will be done at Toulouse, and electronic part at Dijon.
Tasks:
- Matlab (or Python) based simulations of numerical filters. These filters will be applied to the image processing from which spikes are generated and then sent to feed the neural network and STDP learning mechanism
- VHDL coding to implement these numerical filters into the FPGA circuits of the cameras
- C/C++ coding of the neural network and STDP mechanism that should work on an embedded ARM processor system
- Experimental tests that will allow evaluating the performance of the whole system, from spikes generation to visual properties learning of the embedded system, to predict tennis ball’s trajectories
Required skills:
- Strong knowledge on electronic, and openness to computational neurosciences
- Knowledge in signal-image processing, and artificial neural network
- Interest for multidisciplinary research
- Ability to turn smoothly autonomous, once the road has been set
- Ability to be at the interface of two scientific fields and two working areas
- Programming with Matlab and/or Python for simulating the neural network
- Programming in VHDL language for FPGA circuits
- Programming in C/C++ language for porting the algorithms on ARM microprocessors
- French is not a requirement if fluent in English, but willingness to learn would be beneficial
Citizenship Eligibility: We discourage Iranian student to apply, since most likely the CNRS will not accept them for security/defense reasons, unfortunately.
Relevant publications for the project:
- Masquelier, T., Guyonneau, R. & Thorpe S.J. (2009). Competitive STDP-Based Spike Pattern Learning. Neural Comput, 21(5),1259-1276.
- Masquelier, T. & Thorpe, S.J. (2007). Unsupervised learning of visual features through spike timing dependent plasticity. PLoS Comput Biol, 3(2):e31.
- Cottereau, B.R., McKee, S.P. & Norcia, A.M. (2014). Dynamics and cortical distribution of neural responses to 2D and 3D motion in human. Journal of Neurophysiology 111(3), 533-543.
- SmartNeuroCam de GST : https://gsensing.eu/fr/category/sections/products
Contact:
Robin Baurès, PhD
Associate Professor
CerCo, Université Toulouse 3, CNRS
CHU Purpan, Pavillon Baudot
31059 Toulouse Cedex 9 – France
Office phone: 0033 (0)5 62 74 62 15
Email : --LOGIN--a16a02fe713ab45023aaa995c1c7232fcnrs[dot]fr
Pr Michel Paindavoine
GlobalSensing Technologies
14, rue Pierre de Coubertin
21000 Dijon
email : --LOGIN--d9c1a3df3d3c9b280ec674039e8e5e1fgsensing[dot]eu
- Post-doc opportunities at UNSW Sydney (Australia). Received: 19/06/2017, deadline: 10/07/2017.
UNSW is one of Australia's leading research and teaching universities. The School of Computer Science and Engineering in UNSW is one of the largest and most prestigious computing schools in Australia. It offers undergraduate programs in Software Engineering, Computer Engineering, Computer Science and Bioinformatics, as well as a number of combined degrees with other disciplines. It also offers PhD and Masters (by research and by coursework) programs.
The UNSW Scientia Fellowship Program, established as a cornerstone of the UNSW 2025 Strategy, aims to attract and retain the highest research performers on a trajectory to being exceptional research leaders and mentors. Fellowship appointments will be made at academic levels A (Associate Lecturer) to D (Associate Professor) in 2017 for commencement in 2018.
Initial Fellowship tenure will be 4 years for Fellows new to UNSW. Second and subsequent terms of Fellowships will be awarded for 4 years. Clear performance criteria for progression to continuing employment will be developed between the Fellow and UNSW at the commencement of the appointment. This year up to 40 UNSW Scientia Fellowships will be awarded among which 10 positions are reserved for female applicants in STEMM.
Salary for Level A (Associate Lecturer) up to $98,127 + 17% super, Level B (Lecturer) up to $121,478 + 17% super, Level C (Senior Lecturer) up to $143,593 + 17% super, and Level D (Associate Professor) up to $164,475 + 17% super. Development and collaboration support packages will also be provided to support conference travel, leadership programs or other career development opportunities, ranging from $20,000 to $40,000 per year based on level of appointment.
Should you have any further enquiries, please contact Prof. Maurice Pagnucco --LOGIN--3cf04d47a57a91feaa2b02a8046134c9cse[dot]unsw[dot]edu[dot]au
Application deadline: 10 July 2017
Application website: http://www.2025.unsw.edu.au/apply/
- Ph.D. position at the University of Strathclyde, Glasgow (UK). Received: 18/06/2017, closing date: 14/07/2017.
Optimising Maritime System Operations through Asset Health Prognostics
The Institute for Energy and Environment (Department of Electronic and Electrical Engineering) in collaboration with the Maritime Safety Research Centre (Department of Naval Architecture, Ocean and Marine Engineering) at the University of Strathclyde (Glasgow, Scotland, U.K.), offers a Ph.D. position in the area of prognostics and health management methods for reliability, availability, maintainability and safety (RAMS) of maritime systems.
PhD Research Description
Safety and reliability are at the heart of sustainable marine operations. Effective risk management and maintenance planning throughout a vessel’s lifecycle is an intricate task due to the complexity and dynamic nature of modern vessels.
Thanks to the modern technologies and increased monitoring systems on-board ships, there is room to optimize system operations and improve risk management and maintenance planning through risk monitoring and prognostics and health management (PHM) applications. Namely, it is possible to link system-level vessel operational parameters with component-level PHM indicators so as to plan an optimized system operation strategy and extend the useful life of the vessel’s components. The main focus of this project will be on the use and development of PHM methods for optimized system operation. This will involve the development and application of data analytics, artificial intelligence and RAMS methods. Particular cases of interest are predictive monitoring capabilities of electrical components and the power and speed management of vessel’s propulsion machinery assuring the engine’s safe operation.
The Institute for Energy and Environment has an extensive experience of developing and delivering PHM applications for a number of industrial partners and the Maritime Safety Research Centre is engaged in a number of industrial research projects with a focus on on-board risk management. Additionally, so as to maximize the outcomes of the project, the candidate will be closely working with DNV GL and Royal Caribbean Cruises Ltd so as to develop an industry focused application of the project.
The PhD thesis will be completed in the University of Strathclyde, in a nurturing environment with excellent, well-established prospects for professional career development. We are looking for candidates with Engineering or Management Science background to start as soon as possible. The successful candidate will be highly motivated, independent and yet an excellent team player, well organised, and result-oriented.
The ideal candidate will have the following:
· A Masters or First Class Honours degree (or equivalent) in Engineering (marine, mechanical, electrical) or a related Management Science area.
· Experience with reliability engineering and system safety and/or prognostics and health management methods.
· Experience with artificial intelligence methods.
· Programming skills: Matlab, R, Python, C++.
Working conditions
Full-time status as a PhD-candidate for a period of 3 years.
Funding for UK/EU Students. Funding amount: the funding covers Home-Scotland/EU student tuition fees and stipend (£14653 per year) in line with University rates (A student from the rest of the UK may be considered for a partial grant).
Information and applying
For more information and informal questions about the project, please contact Professor Stephen McArthur: --LOGIN--6bda4a4cb7e7820ce3d5783ed50ca309strath[dot]ac[dot]uk ;
Deadline
Application closing date 14/07/2017. Prompt application is advised, as this position is only available until a suitable candidate is found.
- 4 PhD student positions in Electrical and Computer Engineering, Computer Science, Software Engineering or Applied Mathematics at CISTER, Porto (Portugal). Received: 16/06/2017, deadline: 04/07/2017.
CALL for PhD STUDENTS IN
Electrical and Computer Engineering (ECE), Computer Science (CS), Software Engineering (SE), and Applied Mathematics (AM)
Focus on Embedded and Real-Time Computing Systems; Cyber-Physical Systems and IoT 2017-2020/21
CISTER Research Centre, Porto, PORTUGAL, www.cister.isep.ipp.pt/jobs/
Deadline: 04-July-2017
The CISTER Research Centre (http://www.cister.isep.ipp.pt/), an internationally renowned research centre in real-time and embedded systems, invites applications for 4 PhD student positions in Electrical and Computer Engineering (ECE), Computer Science (CS), Software Engineering (SE), or Applied Mathematics (AM), to engage in an ambitious research plan in the area of Real-Time & Embedded Computing (RTES).
Embedded processors represent around 96% of all processors available worldwide, and are present in a wide variety of systems that operate in the various sectors of society. Notorious examples are mobile devices, home appliances, as well as highly complex and safety-critical systems such as airplanes, satellites, and cars. RTES is therefore a key research area whose results are fundamental for boosting the development of the future generation of highly complex and automated computing systems in virtually all application domains. Notable examples are aerospace and defence systems, autonomous transportation systems, Internet of Things, energy aware and green computing, smart factory automation and advanced medical devices and applications. CISTER actively participates to the development of new cutting edge technologies through major international projects such as ENABLE-S3 (on Novel Validation & Verification Procedures for Highly Automated Systems), Productive 4.0 (on the Digitalization of the European Industry) or SCOTT (on Building Trust in the Internet of Things).
The accepted candidates will engage on a highly ambitious PhD research plan, under the supervision of CISTER’s internationally renowned researchers, and will become part of an international and multi-cultural research team with a leading research track on multiple hot topics of RTES.
This research environment is boosted by strong collaborations with various world reputed academic institutions as well as with key international industrial players such as Airbus, Thales, Volvo, Renault, Toyota, Embraer, Honeywell, Siemens, Philips, IBM, Critical Software, TTTech, AVL, EFACEC, GMV or Bosch.
CISTER and the City of Porto will also be at the centre of the Cyber-Physical Systems world in 2018, with the organization of the CPSWeek 2018 (www.cpsweek.org).
The accepted candidates will be hosted by CISTER and will enrol in one of the PhD programs offered by its academic partnerships: the PhD Program offered by the University of Porto on ECE (PDEEC program) or on CS/SE (PRODEI program), or the PhD Program offered by the MAP-i initiative (CS/SE) lead by the Universities of Minho, Aveiro and Porto. Highly performing students may be given the opportunity to engage in a Dual PhD Program with the Carnegie Mellon University. More details on these programs can be found at www.cister.isep.ipp.pt/phd/
CANDITATES’ PROFILE
CISTER is looking for highly motivated candidates with a Master degree in Electrical and Computer Engineering (ECE), Computer Science (CS), Software Engineering (SE), Applied Mathematics (AM) or related areas, with an excellent academic record. Candidates with a solid industrial CV that wish to pursue a PhD degree, are also encouraged to apply. Excellent communication skills in English is considered essential and applicants are expected to have command of both spoken and written English.
WHAT CISTER OFFERS
Research grants are provided for up to four years, with a salary ranging from 12.000,00€ up to 14.000,00€ (after taxes) per year, and with tuition costs covered by CISTER. Researching with CISTER is an opportunity to connect in national and international networks of researchers and industries, in an excellent, dynamic, multi-cultural, and challenging research environment. CISTER is housed in a self-contained modern facility with over 2000m2, with labs fully equipped with state-of-the-art technology. CISTER also promotes several cultural activities, soft-skill development initiatives, and Portuguese courses.
Porto is a vibrant city, relatively inexpensive for European standards (see https://www.numbeo.com/cost-of-living/in/Porto) and very well connected through direct flight connections with more than 70 cities worldwide.
APPLICATION PROCEDURE
To apply, please send your CV, a copy of your transcripts with all your course grades, and a research statement, as soon as possible, to the e-mail address --LOGIN--e09b2724df4b44e176fa42ce5c91acfacister-isep[dot]info , with subject “CISTER-PDS2017-02”. Please indicate at the end of your CV at least two independent referees to be requested by our services for reference letters. Candidates with relevant CVs will be selected for an interview.
The selection committee will formed by key CISTER faculty members and distinguished external academics.
If you have further questions or doubts regarding the application, please contact us via the email “--LOGIN--e09b2724df4b44e176fa42ce5c91acfacister-isep[dot]info ”.
DEADLINE FOR APPLICATIONS: 4-July-2017
You can find more details regarding this call at http://www.cister.isep.ipp.pt/phd/
and feel welcome to know more about us at http://www.cister.isep.ipp.pt.
- PhD position for the EXPERTISE European Training Network at BSC-CNS, Barcelona (Spain). Received: 13/06/2017, closing date: 15/07/2017.
The EXPERTISE European Training Network offers PhD grants to perform research and development in advanced tools for the dynamics analysis of large-scale models of turbine components to pave the way towards the virtual testing of the entire machine (i.e. whole engine simulations).
More specifically, BSC will supervise one of this PhDs in the topic of new programming models.
The objectives of the PhD position will be focused on the research of models to offload I/O operations on task-based programming models. The project will focus on doing research into encapsulation of I/O operations into task-based programing models with the aim to offload I/O operations onto dedicated resources. This would allow reshuffling the execution of I/O tasks, being able to initiate urgent I/O tasks as soon as possible, but also enabling computation tasks to do progress if specific I/O tasks are blocked for some reason.
The expected results are a first realisation of I/O operations in such an asynchronous execution flow model; integration with (Py)COMPSs; higher productivity for structural dynamics HPC application developers.
The PhD recipient will also perform two visits (secondments) in Imperial College and University of Stuttgart:
Imperial: gather applications' requirements with regard the programming model and I/O offloading
USTUTT: integrate (Py)COMPSs with I/O operations
More information about the PhD position can be find in:
https://www.bsc.es/join-us/fellowships/fellowships-list/61cswdcphdr1
- PhD Scholarship in Deep Learning at the University of Kent, Medway (UK). Received: 12/06/2017, deadline: 30/06/2017.
PhD Scholarship in Deep Learning
http://www.jobs.ac.uk/job/AYN907/funded-phd-in-deep-learning/
Three-year PhD scholarship is available to UK, EU and overseas students and will cover home tuition fees (£4,179 for 2017/18) plus a maintenance grant equivalent to the full UK Research Council rate (£14,553 for 2017/18). The amount of scholarship is £18,732 for 2017/18. The scholarship for year 2,3 should foresee a similar amount with slightly yearly increase. Tuition fees at the home/EU rate will be paid by the School of Computing on behalf of the student. Students from overseas will receive the same contribution to their fees (£4,179 in 2017/18) but will need to demonstrate that they can fund the difference between overseas and home fees (Oversea fee is currently £16,480).
Research Theme: This project aims to explore how deep learning can be used to deal with multiscale multidimensional biomedical signals, and to evaluate the effectiveness of different learning algorithms in recognizing the signal patterns. It will examine this problem by comparing with traditional algorithms and propose novel deep learning architectures with adversarial network (i.e. GAN) to explore discriminative power in a particular domain of biomedical signals (i.e. EMG, ECG, EEG).
Location: University of Kent at Medway, UK (40-50 mins from London by train)
Supervisors: Dr. Caroline Ling Li, Prof. Philippe De Wilde, Dr. Palaniappan Ramaswamy
Key words: Machine learning, Deep learning, Biomedical signal analysis, EMG
Criteria
Candidates must hold a good Honours degree (First or 2:1) or a Master's degree at merit or distinction in a relevant subject or equivalent. Applicants whose first language is not English must hold IELTS (or equivalent) at 6.5 with no element less than 6.0. Strong programming or/and math skill is preferred. Previous research experience leading to publications would be an advantage.
How to apply
Deadline: Friday 30 June 2017
Expected start date: Autumn 2017 （Other scholarship available for starting on September 2018
For further detail:
https://www.cs.kent.ac.uk/people/staff/cl339/doc/2017PhdAdv.pdf
Please send a covering letter and CV to --LOGIN--7b73e7d4b44c4ae1c368113d4003074ekent[dot]ac[dot]uk , including contact detail, research interest and your suitability for this award. Please also include experience, if any, of academic or professional research; experience, if any, of teaching or mentoring.
The successful candidate will be based at the Medway Campus. Information about the Medway Campus can be found here: http://www.kent.ac.uk/locations/medway/campus/index.html
For questions about applications, please contact --LOGIN--7b73e7d4b44c4ae1c368113d4003074ekent[dot]ac[dot]uk
http://www.jobs.ac.uk/job/AYN907/funded-phd-in-deep-learning/
- Fully-funded PhD studentship in “Data-driven null models for big data networks” at the University of Manchester (UK). Received: 08/06/2017.
We seek PhD candidates for the project “Data-driven null models for big data networks”, supervised by Dr Mark Humphries at the University of Manchester.
We are developing network theory approaches to analysing data in systems neuroscience (Humphries, 2017, https://doi.org/10.1101/115485 ). The aim of this PhD project is to develop an analysis framework for separating signal from noise in data-driven networks. We will develop new, flexible data-driven null models for network structure – models that will predict noise. Using these models, we will create powerful ways of extracting the s01ignal network from observed data. With these signal networks, we will then explore how they change the conclusions we can draw from our observed data, what large-scale structures they uncover in the networks, and how they can track changes to networks over time.
Applications will be assessed on a rolling basis, so please apply as soon as possible.
This studentship is MRC-funded, so only open to UK and EU students.
More information, and how to apply: https://www.findaphd.com/search/ProjectDetails.aspx?PJID=78216&LID=1020
Questions: --LOGIN--ecc0104eb303d8e59849414ae041fac1manchester[dot]ac[dot]uk
Our lab: http://www.systemsneurophysiologylab.manchester.ac.uk/
- Postdoc/research scientist positions in machine learning and computer vision at Lund University (Sweden). Received: 08/06/2017, deadline: 14/06/2017.
Post-doctoral/Research Scientist positions at Lund University, with focus on Computer Vision and/or Machine Learning (deadline June 14th, 11:59 PM CET)
== Topic: Several positions are available in the area of computer vision and machine learning, with applications to scene understanding (semantic segmentation, 3d reconstruction, object modeling, active object and action recognition, and image categorization) from images and video data. These positions are funded in part under the European Research Council Consolidator grant SEED. Funding is available for a period of up to 2 years and can be renewed to a maximum of 4 years. The research aims to design generally applicable methods for visual feature extraction based on hierarchical, deep architectures as well as large-scale numerical optimization and machine learning techniques generally applicable to perceptual data.
Depending on the interest and strengths of the candidate the work can focus on one (or several) of the following aspects: numerical optimization and machine learning algorithms including deep learning and reinforcement learning, statistical models, 2d or 3d modeling, hierarchical feature extraction, computational visual attention mechanisms, semantic segmentation, object recognition and image categorization. The approach is strongly research oriented, targeting contributions in high-profile international journals and conferences in computer vision, machine learning, computer graphics or automatic control. We focus on novel theoretical and algorithmic contributions, but also the design of associated proof-of concept prototypes.
== Work duties: The successful candidates will be involved in research along one of the above themes in collaboration with Prof. Cristian Sminchisescu and his group members. The main duties involved in a post-doctoral position is to conduct research. Teaching may also be included (depending on the interest of the candidate), but up to no more than 20% of working hours. The position shall include the opportunity for three weeks of training in higher education teaching and learning.
== Qualification requirements: Appointment to a post-doctoral/research scientist position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the subject of the position, completed no more than three years before the last date for applications. Under special circumstances, the doctoral degree can have been completed earlier. Additional requirements: Very good oral and written proficiency in English. Strong mathematical background, familiarity with scientific programming environments (Matlab, TensorFlow, Caffee) as well as programming languages C/C++/Python.
Applicants for a Postdoc/Research Scientist position must have at least one publication at major computer vision or machine learning top-level international conference of journal including ICCV, CVPR, ECCV, ICLR, ICML, NIPS, PAMI, IJCV, JMLR. This is a career development position primarily focused on research. The position is intended as an initial step in a career, and the assessment of the applicants will primarily be based on their research qualifications and potential as researchers. Particular emphasis will be placed on research skills within the subject.
== Application deadline: 14.Jun.2017 11:59 PM CET
== Please apply formally using Lund University’s job application system:
http://lu.mynetworkglobal.com/what:job/jobID:151773/
(Applications should not be sent directly to Cristian Sminchisescu as they cannot be formally considered. For inquiries about the position or general expression of interest, prospective candidates are however encouraged to contact --LOGIN--2a40e61f26be2af8929e3d9d177336cbmath[dot]lth[dot]se ).
- Fully funded PhD position in machine learning at Ruhr-University Bochum (Germany). Received: 07/06/2017.
Open position for PhD student with
Prof. Laurenz Wiskott at the
Institute for Neural Computation, Bochum, Germany
Institute:
Institute for Neural Computation
Ruhr-University Bochum
Universitaetsstr. 150
D-44801 Bochum, Germany, EU
The Institute for Neural Computation is a central research institute at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications.
Research group:
Prof. Dr. Laurenz Wiskott, see http://www.ini.ruhr-uni-bochum.de/PEOPLE/wiskott/
Research topics:
We are looking for outstanding candidates who will be working on algorithms for continual (life long) learning with an emphasis on the interplay between unsupervised feature learning and memory-based reinforcement learning. The position is part of a team working jointly on developing a self-organizing vision-based agent that learns to navigate and adapt to changes in its environment. Interested candidates have also the opportunity to be involved with our related ongoing collaborative projects in the field of computational neuroscience on modeling hippocampal function and navigation. The group largely works with and contributes to the Modular toolkit for Data Processing (MDP toolkit) written in Python.
Teaching:
There is a teaching load of 3 hours per week during the semester, in particular for a programming course in python.
Time:
The appointment will be for three years and can then be extended for one more year if needed.
Requirements:
Candidates should have an education in computer science, physics, mathematics, electrical engineering or any related field. Required are strong mathematical and programming skills as well as the ability to communicate and work well in a team.
Salary:
Salary is 75% of salary scale TV-L E13.
Inquiries:
Informal inquiries can be addressed to Prof. Laurenz Wiskott --LOGIN--0904dd778dfaa2fcdd18ba78114f93acrub[dot]de .
Application:
Applications should be sent in electronic form to Prof. Laurenz Wiskott --LOGIN--0904dd778dfaa2fcdd18ba78114f93acrub[dot]de .
Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We therefore look forward to applications from qualified women. Applications from appropriately qualified handicapped persons are also encouraged.
- Lectureship in Robotics and Neural Systems at the University of Plymouth (UK). Received: 07/06/2017, closing date: 02/07/2017.
The following lectureship post is suitable for scientists with track record in robotics and neural systems.
University of Plymouth - The School of Computing, Electronics and Mathematics
Lecturer in Electronics/ Computer Science / Robotics
The School of Computing, Electronics and Mathematics, within the Faculty of Science and Engineering, seeks applicants for the above post. Candidates should 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.
You are expected to be able to contribute to teaching across the Electronics, Robotics and Computer Science curriculum with initial teaching duties in Advanced Embedded Programming; Parallel Computation and Distributed Systems.
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, Masters students and Undergraduate students. The School typically awards several PhD bursaries each year, giving priority to new / young research supervisors. You will also be expected to deliver lectures and practical classes on high-level programming with object-orientated software interfacing embedded systems to mixed signal devices. We are particularly keen on candidates with experience of Parallel computing, Real-Time and Robotic Operating Systems. You will make an active and tangible contribution to programme development and student recruitment across the suite of Electronics, Robotics and Computer Science undergraduate and postgraduate courses.
You should hold a PhD in a relevant discipline and demonstrate an established REF-level research track-record. You should ideally have experience in teaching undergraduate and/or postgraduate students and in supervising undergraduate/masters/doctoral students. You will also be expected to take part in curriculum development and course management as required.
This is a full-time post working 37 hours per week on a permanent basis.
For informal enquiry, please contact --LOGIN--fb1dcf975bc5cffeca183d4a22cfdbc1plymouth[dot]ac[dot]uk
Further information about the school is available at
www.plymouth.ac.uk/compmath
or CRNS centre website:
https://www.plymouth.ac.uk/research/robotics-neural-systems
Closing date: 12 midnight, Sunday 2 July 2017
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.
To apply, use link below
- Lecturer / Senior Lecturer in Machine Learning and Computational Intelligence at the University of Surrey (UK). Received: 06/06/2017, closing date: 28/06/2017.
Lecturer / Senior Lecturer in Machine Learning and Computational Intelligence
Department of Computer Science, University of Surrey
Salary: GBP 39,324 to GBP 57,674 per annum
Closing Date: Wednesday 28 June 2017
https://jobs.surrey.ac.uk/039217
The Department of Computer Science at the University of Surrey invites applications for a post of Lecturer/Senior Lecturer (similar to Assistant/Associate Professor) in Machine Learning and Computational Intelligence. We aim to attract outstanding candidates to the Nature Inspired Computing and Engineering (NICE) Group, who will have strong visions for research, a growing international research profile, a passion for teaching, and who value collaborative research and working in a team. This is an exciting opportunity in a department that is growing its reputation for delivering quality interdisciplinary and applied research based on strong foundations.
The post-holder will enhance or complement one or more of the following areas: evolutionary computation, computational intelligence, machine learning, and computational neuroscience, with applications to data-driven optimisation, data analytics and big data, secure machine learning, self-organising and autonomous systems, healthcare and bioinformatics. It is expected that the post-holder will also contribute to high quality teaching at undergraduate and post-graduate level, for example in data science.
Applicants to the post should have a PhD in a relevant subject or equivalent professional experience. An ability to produce high quality outputs is also required. The appointed candidate will be expected to contribute to all aspects of the Department's activities.
We are looking for individuals that can inspire students through their curiosity for leading-edge aspects of technology. In particular, the teaching duties of the role include delivering high quality teaching to all levels of students, supervising undergraduate project students and postgraduate dissertations and contributing to the teaching of computational intelligence, machine learning, data science, as well as other practical areas of Computer Science, such as object-oriented programming and advanced algorithms.
The Department of Computer Science embodies the ethos of “applying theory into practice” across its research and teaching activities. Its research activities are focused into two research groups: Nature Inspired Computing and Engineering (NICE) and Secure Systems. The research on evolutionary optimization and computational intelligence is internationally recognized and has a close collaboration across the University and internationally with academia and industry. The department has excellent links with departments across the University, as well as with industry, such as Honda, The Pirbright Institute, National Physical Laboratory, and Moorfields Eye Hospital.
This is a full-time and permanent position. The post is available from September 2017 but there is flexibility in the start date. The University is located close to the Surrey Research Park in Guildford and within easy commuting distance of London.
For further details and an informal discussion please contact Professor Yaochu Jin, Head of the NICE Group, --LOGIN--db00d3083e8cd6968f55df5aca52b047surrey[dot]ac[dot]uk , or Professor Mark Plumbley, Head of Department at --LOGIN--5e531169a66447ab32bae317ff248addsurrey[dot]ac[dot]uk .
The University and the Department specifically are committed to building a culturally diverse organisation and strongly encourages applications from female and minority candidates. The Department shares the Athena SWAN ideals with respect to the equality and diversity agenda.
Presentations and interviews will take place on 13 July 2017. During the interview process there will be an opportunity to meet members of the NICE group in the evening of 12 July 2017 for an informal dinner and to meet with other colleagues within the Department on an informal basis.
For further details and information on how to apply, visit https://jobs.surrey.ac.uk/039217
- PhD Opening on “Connectivity control strategies for wireless networked UAV systems” at Université de Technologie de Compiègne (France). Received: 06/06/2017, deadline: 14/06/2017.
PhD Opening at the Heudiasyc Lab, Université de Technologie de Compiègne, France on
Connectivity control strategies for wireless networked UAV systems
A PhD position is available at the Heudiasyc Lab of the Technological University of Compiegne, France. The candidate will join the transversal Networking and Control research direction managed by Professors Isabelle Fantoni and Enrico Natalizio. The position is fully funded for three years and available from September-October 2016.
Graduate students at the M.Sc. or B.Sc. level with background in Electrical and Computer Engineering or Computer Science are encouraged to apply.
*Subject and skills*
In the development of distributed networked controlled system for 5G, there is a prominent need for supporting autonomous and collaborative systems that can provide high levels of Quality of Service (QoS) using mobile nodes, such as Unmanned Aerial Vehicles (UAV). From this standpoint, the PhD student will design and develop a set of control strategies for fleets of UAVs that will ensure the appropriate management of network resources and will be oriented to the network performance maximization as well as the mission achievement. In detail, the developed strategies and the associated insights will allow fulfilling specifications and constraints coming from both: (i) the communication point of view (i.e. QoS, interference shaping, etc.) and (ii) the control theory point of view (i.e. robust navigation, flight formation, task management, etc.).
The PhD student’s work will be included in the definition of an autonomous collaborative system that should also show fault tolerance features and self-* capabilities. The devised control strategy is envisioned to be based on the following strong points:
1. Decentralized/distributed network connectivity estimation coupled with agents' mobility control;
2. A two-step strategy for the management of topology control;
3. Combined Power and Mobility Control with system-status based priority assignments.
The first point will render the fleet of UAVs capable to drive the network through a specific topology and, at the same time, satisfy communication constraints.
The second point revolves around the definition of a general strategy to tackle topology control problems. The PhD student will study the possibility to find a solution for the associated constrained optimization problems in a decentralized/distributed way. In detail, the two steps of the envisioned strategy are (i) Using node mobility to define an optimal network topology under communication constraints; (ii) Apply Power Control to the resulting topology and refine the solution.
Concerning the third point the Ph.D. student will have to study the strategy to switch between the Mobility and Power Control dynamically and optimally.
Good mathematical background and knowledge in Control Theory or Wireless Networking as well as a strong interest in the other discipline are strictly required.
Furthermore, practical skills with programming languages (C/C++) and software tools (e.g., Matlab, NS-2, NS-3) and fluent English (written and spoken) are also required. Above all, the applicants must be motivated to learn quickly and work effectively on challenging research problems.
*Application process*
The following documents are required:
- CV,
- motivation letter,
- statement of research experience and interests,
- University transcripts
as attachments of an email, whose subject will be “Application for PhD position at the Heudiasyc Lab”, which must be addressed to Professors Fantoni and Natalizio (at --LOGIN--702058481c7d60943b0f1d12d9306867hds[dot]utc[dot]fr and --LOGIN--6dadd9e0be53427530190ac7ca985405hds[dot]utc[dot]fr ).
Web links of research articles authored by the applicant are welcome to be included, too.
*Timeline*
- June 14th, 2017: application submission deadline
- June 19th-20th, 2017: interview of the selected candidates
- September 2017: position start date
- Data Scientist at Aston University (UK). Received: 05/06/2017.
An exciting opportunity has become available for an ambitious PhD graduate to take on this strategic project with the support of mentors from the company, University and Innovate UK. The project will develop an intelligent financial management software tool to model debtor payment behaviours using predictive analytics. This position is a 30 month fixed term contract.
Qualifications we require:
You will hold a PhD in Computer Science, Statistics or a mathematics based subject involving both maths and computing. The ideal candidate will have a strong foundation in data science / analytics including experience with machine learning algorithms. Strong technical skills including experience with query and data visualisation tools and experience of using MATLAB, R or Python will be required. Some knowledge / experience of business financial processes and experience of working in a commercial environment would be an advantage.
About Rimilia:
Rimilia design, develop and implement intelligent finance solutions that interface with 3rd party ERP systems and provide automation for Accounts Receivable, Bank Reconciliation and Cash Allocation processes. Find out more by visiting: www.rimilia.com.
About KTP:
This position forms part of Knowledge Transfer Partnerships (KTP) funded by Innovate UK. It’s essential you understand how KTP works and the vital role you will play if you successfully secure a KTP Associate position.
Please visit:
http://www.aston.ac.uk/business/grow-your-business/funding/knowledge-transfer-partnerships/
Further details:
Please visit our website to apply online: https://jobs.aston.ac.uk/. If you have any questions, please do not hesitate to contact --LOGIN--0f820b476823d9a81e0915abda0a5e85aston[dot]ac[dot]uk
- PhD Studentship in Machine Learning & Pattern Recognition at Aston University (UK). Received: 05/06/2017, deadline: 30/06/2017.
Deadline for applications: 30th June 2017
Fully funded PhD studentship (4 years) in Aston University, UK http://www.jobs.ac.uk/job/BBV928/phd-studentship-novel-paradigms-for-the-analysis-and-classification-of-non-vectorial-data/
Applications are invited to apply for a four year Postgraduate Research studentship, supported by the School of Engineering and Applied Science, to be undertaken within the Computer Science subject group at Aston University. The successful applicant will join the recently established System Analytics Research Institute
(http://www.aston.ac.uk/eas/research/groups/systems-analytics-research-institute/).
This studentship is combined with a teaching assistant role. The successful candidate will be required to provide up to an average of 6 hours per week of teaching support for a distance learning programme; therefore the student must be capable of teaching on an undergraduate course in Software Engineering. Details of teaching responsibilities and a list of taught modules can be found here.
The position is available to start in September 2017 (or later by agreement)
Financial Support:
This studentship includes a fee bursary to cover the Home/EU tuition fee rate plus a maintenance allowance of £15,000 in 2016/17.
Applicants from outside the EU may apply for this studentship but will need to pay the difference between the ‘Home/EU’ and the ‘Overseas’ tuition fees, currently this is £11,729 for the 2016/17 academic year. As part of the application you will be required to confirm that you have applied for, or, secured this additional funding.
Background of the Project:
Graph-based representations have long been used as a powerful way to characterise a large number of systems that are best described in terms of their structure. However, the rich expressiveness of graphs usually comes at the cost of an increased difficulty in applying standard pattern recognition techniques and machine learning to them.
The aim of this project is to investigate novel ways to probe and characterise the structure of graphs. For example, in recent years, classical and quantum walks have emerged as a powerful way to measure the structural similarity between graphs and to define novel vertex signatures. However other processes, such as quantum walks with decoherence, have received little or no attention, despite having a number of unique and interesting properties.
Other open problems that could be the subject of this project are the ability to cope with increasingly large and diverse input graphs (time-varying, multi-layer, etc.), as well as investigating the privacy concerns emerging in the analysis of real-world networks.
Person Specification:
The successful applicant will have a strong undergraduate (first class or upper second class) and/or Master’s degree in computer science, engineering, mathematics, physics or a related discipline as well as excellent programming and analytical/mathematical skills. Applicants with expertise and research interests lying at the intersection of graph theory, pattern recognition, and physics are particularly welcome to apply. Applicants from non-English speaking countries will need to satisfy Aston’s English language entry requirements.
Enquiries about this project contact Dr. Luca Rossi
(http://www.cs.aston.ac.uk/~rossil/)
by email: --LOGIN--0f820b476823d9a81e0915abda0a5e85aston[dot]ac[dot]uk .
The online application form, reference forms and details of entry requirements, including English language are available at http://www.aston.ac.uk/eas/research/prospective-research-students/how-to-apply/
Applications should also be accompanied by a brief research proposal, and an explanation of how your knowledge and experience will benefit the project.
- PhD position in Cyber-security at University of Trento (Italy). Received: 05/06/2017, deadline: 30/06/2017.
PhD position for the European Training Network for Cyber-security
– University of Trento
APPLICATION DEADLINE: June 30, 2017, hrs. 04.00 PM (+2 GMT)
n. 1 position
Successful candidate is 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
Research topic:
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.
Contract Details:
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: 2 years (an extention for the 3rd year will be negotiated with the advisor).
Employment will start preferably from 1st August 2017 (or earlier) and at most from 6th October 2017. The academic year starts 1st November 2017.
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 PhDprograms.
- 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.
How to apply:
Applications should be sent by email to --LOGIN--073954a66a03d69e90199f5dc37461f7unitn[dot]it and in copy to the Coordinator of the NeCS consortium (--LOGIN--2ddc939d7a91daac5bf7552afabac532iit[dot]cnr[dot]it ) with Subject: NeCS-UNITN.
Attachment 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 candidate selected for the position will have to provide an official translation (in either English or Italian).
Information
More information: https://securitylab.disi.unitn.it/doku.php?id=necs_industry-academia_program
For information regarding the project, please contact: --LOGIN--073954a66a03d69e90199f5dc37461f7unitn[dot]it
Website: http://www.necs-project.eu
- Assistant and associate professor level positions in Computational Neuroscience/ Machine Learning at the University of Sheffield (UK). Received: 05/06/2017, closing date: 30/06/2017.
There are two permanent academic openings in the Department of Computer Science, University of Sheffield, in the area of Computational Neuroscience within the Machine Learning group.
Lecturer/Senior Lecturer/Reader in Machine Learning and Computational Neuroscience.
Lecturer/Senior Lecturer/Reader in Machine Learning and Robotics.
Lecturer is roughly equivalent to Assistant professor and Senior Lecturer/Reader to Associate Professor in the US system.
Since it was established in 1982, the Department of Computer Science at the University of Sheffield has attained an international reputation for its research and teaching. In the 2014 Research Excellence Framework (REF) exercise, we were ranked 5th out of 89 departments in the UK for computer science research.
For more information please see: https://www.sheffield.ac.uk/dcs/jobs/index
- Research positions in Data Mining, Machine Learning and Artificial Intelligence at the National University of Ireland Galway (Ireland). Received: 04/06/2017.
Up to three new research positions are available in the Data Mining & Machine Learning Research Group, led by Dr Michael Madden in the National University of Ireland Galway, to contribute to a substantial European Union research project called ROCSAFE, which involves an exciting combination of aerial robotics, ground-based robotics, sensing systems, image analysis, and artificial intelligence.
There are positions available for a software engineer and for two research scholars (MSc by research with possibility to transition to PhD). The software engineer will receive a salary commensurate with experience. The MSc students will receive a tax-free scholarship of €16,000 per year, with fees also paid. Additional funding is provided for research-related travel.
The research and software development work is likely to involve topics such as: (1) development of communications protocols and simulation of a realistic multi-agent system; (2) routing of autonomous vehicles for optimal collection of multi-resolution image and sensor data; (3) context-aware decision support driven by sensor data analytics.
This is an excellent opportunity to combine research with software development, working in a flexible and stimulating research environment, while collaborating with academic and industrial partners across Europe.
For information on how to apply, please see our website:
http://datamining.it.nuigalway.ie/
- Research Fellow in Agent Learning and Adaptation at the University of Hertfordshire (UK). Received: 04/06/2017, closing date: 18/06/2017.
RESEARCH FELLOW IN AGENT LEARNING AND ADAPTATION
Adaptive Systems Research Group
School of Computer Science
University of Hertfordshire, UK
UH7 - 32,004-38,183 GBP pa depending on qualifications and experience
Fixed-term contract until 31. December 2018
FTE: Full-time, working 37 hours per week.
A Research Fellow position is available in the EU Horizon 2020 funded project socSMCs (Socializing Sensorimotor Contingencies). As a part of a European project, this full-time research post will allow the postholder to pursue research into novel methods for novel information-theoretic entrainment and synchronization measures, applying them bottom-up social sensorimotor dynamics, and using information theory to implement interpretable (existing and yet-to-develop) analytic tools for the study of the dynamics on simulated systems, as well as its deployment and testing on robotic hardware. The research centers on the development of such algorithms, involving learning and adaptation, and developing and deploying corresponding software solutions on physical robots.
The development of the algorithms and software as well as learning and adaptation algorithms suitable to run on physical robots forms a central part in the research.
Applicants for the posts should have a strong postgraduate degree (MSc or PhD) in a quantitative research-oriented discipline, examples are computer science, mathematics or physics. Applicants should have strong mathematical background, with emphasis on probabilistic modeling, information theory, stochastic control, or robot control. Excellent programming skills are essential. Experience with robotic software development and relevant frameworks such as ROS, or developing and deploying AI algorithms on real-world robots is a plus. Applicants will have a high degree of motivation and, at the same time the ability to work both independently and in collaboration with the other investigators in the group.
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 chance to collaborate with the WiMUST (Widely Scalable Mobile Underwater Sonar Technology) EU Horizon 2020 project, as well as the School's successful humanoid robot RoboCup team, the Bold Hearts, and other projects at the School.
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 internationally excellent or world leading.
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.
Apply e.g. via:
http://www.herts.ac.uk/contact-us/jobs-and-vacancies/research-vacancies,
click “View Research Vacancies”, and select “Research Fellow in Agent Learning and Adaptation”, Job Ref.: 014732.
Contact for informal inquiries:
Prof. Dr. Daniel Polani (E-mail: --LOGIN--92df5fb1022b0d5bde87eb392bec3412herts[dot]ac[dot]uk )
Web: http://homepages.herts.ac.uk/~comqdp1/
Adaptive Systems Research Group: http://adapsys.feis.herts.ac.uk/
Under current UKBA regulations, the University is unlikely to be able to get a work permit in respect of this post. We can therefore only accept applications from people who will have the right to work in the UK for at least one year from the date of appointment.
- Tenure-track Faculty Positions in Wireless Communications and Networking at Tianjin University of Technology (China). Received: 03/06/2017.
Tenure-track Faculty Positions in Wireless Communications and Networking at Tianjin University of Technology, China
Job Summary
We are seeking high-quality and enthusiastic researchers to undertake research in the areas of:
*Next Generation Mobile Communication Systems
*Wireless Communications and Networking
*Mobile Crowd Sensing and Wireless Sensing
*Intelligent Transport Systems and Wireless Vehicular Networks
*Internet of Things
*Smart Cities
*Wireless Localization Techniques
Detailed Description
Tianjin University of Technology (TJUT) is jointly constructed by the central government of China and the local government of Tianjin but mainly administered by the latter. It is a key comprehensive university located in Tianjin, with balanced disciplines offered in industry, science, art, economy, management and law. The university offers a whole range of degree programs at different levels. The university has 1750 full-time faculty, including two hundred and sixty-nine master's and doctoral candidate supervisors. More than 500 faculty hold senior professional and technological titles, including members of disciplinary assessment groups of the Academic Degree Committee of the State Council, candidates for the national talent program for the new century, young and middle-aged experts that provide outstanding contributions at the state level, talented individuals from the Ministry of Education, special professors of Tianjin, honored experts of Tianjin, experts enjoying the special allowances from the State Council and special Haihe Scholars & professors, etc. The university has undertaken two hundred and twenty nine key projects at the national or provincial level that are supported by the Eleventh Five-year Plan, projects of the 973 and 863 Programs at the state level, etc. It has won 69 national awards for its scientific and technological progress and the faculty has published more than 10,000 scholarly papers.
The School of Computer Science & Engineering has more than 120 staff members and has National Engineering Lab of China, Key Lab of Ministry of Education and Tianjin Key Lab that host PhD candidates from all over the world. Especially, the Lab of Mobile Internet of things and Lab of Wireless Communications and Networking are recruiting PHD Candidates around the world.
The school is inviting high-quality and enthusiastic junior researchers to join the school as tenure-track (assistant) professors. Applicants will have been awarded a PhD degree in telecommunications or in a closely related discipline within 5 years of the closing date. PhD candidates whose thesis is under examination at the closing date, and PhD candidates who will submit their PhD thesis by 30 December 2017 may also apply.
Applicants should have strong background in the aforementioned research areas (such as telecommunications, wireless communications and wireless networking) and have demonstrated strong research performance & capabilities, evidenced by publications in top international journals and conferences. Preference may be given to candidates with established publication record in the fields of large-scale wireless networks, intelligent transport systems and vehicular networks, social networks, wireless sensor networks and mobile crowd sensing.
Successful applicants are expected to start in 2017 or early 2018. It is a requirement that the successful applicant should also apply for Young 1000 Talents Program.
The successful applicants will be initially offered a tenure-track position. On meeting mutually agreed criteria at the end of the tenure-track period, the applicants will be offered a tenured position at the end of their tenure-track period.
Remuneration
Competitive salary package will be offered commensurate with the experience and track record of the successful applicant.
How To Apply
Please send your CV with a list of publications, contact details of two referees and a cover letter addressing the selection criteria to Prof Degan Zhang at --LOGIN--c280a677f29c4b00accbf815f78675c6126[dot]com .
Closing Date: The job is open until suitable candidates are found.
- PhD studentship in Computational Visual Neuroscience at INRIA (France). Received: 02/06/2017, deadline: 15/06/2017.
PhD studentship in Computational Visual Neuroscience – How Specific Classes of Retinal Cells Contribute to Vision: a Computational Model
The studentship is part of a new interdisciplinary project funded by the Leverhulme Trust to investigate how different groups of retinal cells contribute to the encoding of visual scenes. It is at the interface between experimental neuroscience (Institute of Neuroscience in Newcastle University, UK, E. Sernagor’s lab http://www.ncl.ac.uk/ion/) and computational neuroscience (B. Cessac’s lab, INRIA, Sophia Antipolis, France; https://team.inria.fr/biovision/). The studentship is for three years, starting in October 2017. It covers student fees and maintenance as well as funds for travelling between the two teams and conference expenses.
The deadline for application is june 15th, 2017
The detailed proposition can be found here https://team.inria.fr/biovision/files/2017/04/20170418-phd-cessac.pdf
- Two Research Fellows in Machine Learning at the University of Cambridge (UK). Received: 01/06/2017, deadlines: 15/06/2017, 30/06/2017.
We are seeking two highly creative and motivated Research Fellows to join the Machine Learning Group at the University of Cambridge. The positions are for up to 36 months. Details below!
http://www.jobs.cam.ac.uk/job/13696/ (Closing Date: 15 June 2017)
http://www.jobs.cam.ac.uk/job/13765/ (Closing Date: 30 June 2017)
————————
(1) Research Fellow in Machine Learning with the Leverhulme Centre for the Future of Intelligence
We are seeking a highly creative and motivated Research Fellow to join the Machine Learning Group (http://mlg.eng.cam.ac.uk) in the Department of Engineering, and the Leverhulme Centre for the Future of Intelligence (http://lcfi.ac.uk), as a joint appointment with a desk in each, primarily based in the CFI, University of Cambridge, UK.
This postdoctoral Research Fellow will be working with Professor Zoubin Ghahramani and Dr Adrian Weller on developing theory and methods to ensure that machine learning/artificial intelligence systems are scalable, reliable and interpretable.
http://www.jobs.cam.ac.uk/job/13765/ (Closing Date: 30 June 2017)
Please direct questions about this vacancy to Susan Gowans at --LOGIN--1ed1cdddba941ecff9ed229d4fe4b25acam[dot]ac[dot]uk . Please quote reference GO12221 on your application and in any correspondence about this vacancy.
————————
(2) Research Fellow in Machine Learning
We are seeking a highly creative and motivated Research Assistant/Associate to join the Machine Learning Group (http://mlg.eng.cam.ac.uk) in the Department of Engineering, University of Cambridge, UK.
The post holder will be working on areas related to deep learning and Bayesian methods, as well as ideally having an interest in machine learning for hardware optimization. The post holder will be funded by a grant from ARM (https://www.arm.com/ )and will act as a liaison to relevant research teams at ARM. The post holder will work in collaboration with Professor Zoubin Ghahramani and Dr Jose Miguel Hernandez Lobato as part of the Machine Learning Group at Cambridge University.
http://www.jobs.cam.ac.uk/job/13696/ (Closing Date: 15 June 2017)
If you have any questions about this vacancy or the application process, please contact Miss Diane Hazell, email: --LOGIN--f23e0398be768edee836bba2e7414e5bcam[dot]ac[dot]uk .
————————
In both cases, successful applicants will have or be near to completing a PhD in computer science, information engineering, statistics or a related area, and will have extensive research knowledge and experience in addition to a strong publication record in machine learning, including ideally papers in top machine learning conferences such as NIPS, UAI, ICML, and AISTATS. Excellent mathematical and programming skills are essential. Experience in two or more of the following areas: probabilistic modelling and scalable approximate inference; deep learning, MCMC methods; Bayesian optimization; graphical models will be necessary.
- PhD and PostDoc positions in machine learning for theorem proving at the University of Innsbruck (Austria). Received: 01/06/2017.
We invite candidates for multiple PhD student and Postdoc researcher positions to start in 2017 or 2018 in the 5-year project “Strong Modular Proof Assistance: Reasoning across Theories” in the CL group at the University of Innsbruck.
The starting date can be negotiated. PhD student positions like Postdoc positions are formal employment in Austria, with a regular salary and benefits. Applications before June 15 will receive a full consideration.
A background in machine learning or proof assistants is an advantage. Knowledge of German is not required, the group is international and the language of communication is English.
Candidates for a PhD position must hold a MSc in computer science or mathematics and candidates for the postdoctoral position hold a PhD degree in computer science or mathematics.
Applications and informal inquiries are welcome, please contact Cezary Kaliszyk (--LOGIN--a75e0af530f89224e9885e8d2a1de464uibk[dot]ac[dot]at ). Applications should include a CV and names and contact details of two references. For the Postdoc positions please include a brief research statement.
The city of Innsbruck, which hosted the Olympic Winter Games in 1964, 1976 and 2012 (YOG), is superbly located in the beautiful surroundings of the Tyrolean Alps. The combination of the Alpine environment and urban life in this historic town provides a high quality of living.
More information about the project, the group, and the university:
http://cl-informatik.uibk.ac.at/cek/smart/
- 9 Independent Research Group Leaders in the Cyber Valley Initiative (Germany). Received: 01/06/2017, deadline: 30/06/2017.
The Max Planck Institute for Intelligent Systems, Stuttgart-Tübingen, Germany, the University of Stuttgart, and the University of Tübingen invite applications for positions of up to
*9 Independent Research Group Leaders* in the Cyber Valley Initiative
which includes budget for a small group for several years, see below.
Cyber Valley (http://cyber-valley.de/en) is a new center for AI research, bringing together partners from science and industry to create a world-leading hub for research in intelligent systems and to establish an ecosystem for startups in the field of artificial intelligence.
Successful candidates should have an outstanding international early-career track record in AI research, including but not limited to: - Machine Learning
- Perception & Computer Vision
- Autonomous Robotics
- Frameworks and Architectures for Intelligent Systems
- Small-scale Robotics
- Cybernetics
See
http://cyber-valley.de/jobs/9-independent-research-group-leaders-in-the-cyber-valley-initiative
for further details and topic areas.
Each of these research-focused positions will lead a new Cyber Valley Research Group located either at the Max Planck Institute for Intelligent Systems, at the University of Stuttgart, or at the University of Tübingen as part of the Cyber Valley initiative Baden-Württemberg. The establishment of a competitive basic research program is expected. The research groups are expected to engage actively with the existing research environment, including the Cyber Valley partners. The research groups will be able to draw on infrastructure and a stimulating environment for successful company startups in the area of artificial intelligence.
All applications will be considered for two different types of positions that offer scientists an excellent opportunity for career advancement. During the selection process, depending on the career stage of the applicant, the most suitable position will be identified in agreement with the successful candidates.
Cyber Valley Research Group Leaders at the Max Planck Institute for Intelligent Systems:
The group leader positions are at W2 level (roughly equivalent to assistant/ associate professor level). The successful applicants are provided considerable funds for personnel, equipment and running costs that enable the group leaders to flexibly engage in their independent research agenda. The Max Planck Research Groups are limited to five years, but may be extended.
Cyber Valley Research Group Leaders at the University of Stuttgart and at the University of Tübingen:
The funding includes a group leader position (TV-L E14), PhD positions as well as startup and running budgets for up to four years. The groups will be embedded into the appropriate faculty at the University of Stuttgart or the Department of Computer Science in the Faculty of Science of the University of Tübingen, respectively, and benefit from the support structures.
The Max Planck Society, the University of Stuttgart, and the University of Tübingen are equal opportunity employers and strive for gender diversity. We welcome applications from all backgrounds.
We are committed to increasing the number of individuals with disabilities in our workforce and therefore encourage applications from such qualified individuals.
Application details:
http://cyber-valley.de/jobs/9-independent-research-group-leaders-in-the-cyber-valley-initiative
Deadline: June 30, 2017.
- Research position at the University of Geneva (Switzerland). Received: 31/05/2017.
We are recruiting a research assistant/postdoc for a full time position at the LANVIE https://www.unige.ch/medecine/psyat/en/research-groups/935frisoni/
Please find the job description below:
• Field: Alzheimer’s disease (AD) and cognitive disorders
1. Study of AD biomarkers
2. Study of the biological basis of cognitive impairment due to Suspected Non-Alzheimer Pathology (SNAP) and of the interplay between amyloidosis and tau-related Neurodegeneration
• Projects:
1. Epinettes database — A clinical database for diagnosis and prognosis of patients consulting at the Memory Clinics of the HUG
2. SNAP — Study of the biological basis of cognitive impairment due to Suspected Non-Alzheimer Pathology
3. Human Brain Project (HBP) — Medical Informatics Platform
• Tasks:
1. Image analysis: Analysis of MRI and PET images of the brain finalised to the extraction and study of AD imaging biomarkers and cognitive pathologies (Freesurfer, FSL, Matlab, SPM)
2. Didactics: didactic activities management; MSc student supervision
3. Project management: Clinical ethical submissions; Work and data management; Communication and team management
4. Research tasks: Identification of new research opportunities and submission of project funding applications; presentation of research results according to need, participation in international and local conferences and publication in scientific journals;
Identification, development and maintenance of collaborative relationships with current and future KOLs, scientific experts, scientific groups and study sites;
Participation in working groups, boards, commission representing a project or the Team
5. To be customized basing on CV.
Should you are interested in this position, please send your CV, cover letter and list of publication to --LOGIN--70136562be70151af091e836127c04bbunige[dot]ch .
- PhD Studentships in Computational Neuroscience at the University of Hertfordshire (UK). Received: 31/05/2017.
PhD Positions in Computational Neuroscience
Biocomputation Research Group
Centre for Computer Science and Informatics Research
University of Hertfordshire
UK
Applications are invited for PhD positions in the Biocomputation Research Group at the University of Hertfordshire. Projects involve the development and simulation of models of neurons and neuronal networks to study information processing in the cerebellum or olfactory system and /or the application of machine learning techniques for the analysis of neural data. A description of our research interests and a list of publications can be found on our webpage (http://biocomputation.herts.ac.uk/).
Applicants should have excellent computational and numerical skills and a very good first degree in computer science, biology, maths, physics, neuroscience, or a related discipline. Successful candidates are eligible for a research studentship award from the University (GBP 14,553 per annum bursary plus payment of the student fees). Applicants from outside the UK or EU are eligible.
Research in Computer Science at the University of Hertfordshire has been recognised as excellent in the latest Research Excellence Framework Assessment, with 50% of the research submitted rated as internationally excellent or world leading. The Centre for Computer Science and Informatics Research provides a very stimulating environment, offering a large number of specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Hatfield, in the green belt just north of London.
Please contact Dr Volker Steuber for informal enquiries. Application forms are available under 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, University of Hertfordshire, College Lane, Hatfield, Herts, AL10 9AB, Tel: 01707 286083. The short-listing process will begin on 16 June 2017.
- Research position at the University of Colorado Boulder (USA). Received: 30/05/2017.
The Computer Science department at the University of Colorado Boulder is seeking a post-doc, research professor, or developer available for a three year project to develop a software library for dispersed computing for public safety applications.
The proposed software system is intended to provide a programming model and library to develop public safety critical applications to provide robust access to stored content (maps, photos, etc), replicate new content as it is acquired, maintain network connections over a plurality of links based on estimation of available link quality and also allow the construction of applications using a transactional distributed-object system.
A core focus of the system design will be to insure that public safety applications, which involve time-varying membership while maintaining strong security can be implemented easily while avoiding some of the security mis-designs common to earlier communication systems.
Our goal is to simplify the production of complex mobile applications; a key challenge will be designing a system that exploits the benefit of 3GPP networks as well as standard internet software design and that can handle disconnected operation and coordinate trust in inter-agency operations at a particular incident.
The proposed technical solution involves a software distribution management system (using containers), network performance inference, network control including multi-path TCP and distributed storage systems. Experience with LTE networks and Android useful, experience with first responder networks such as P25 also useful.
We offer a competitive salary and benefits package.
If interested, please email your cover letter and CV at
--LOGIN--49c754cf7295ff34d7a1cf94f9c4af8ecolorado[dot]edu .
- Faculty Vacancies at KCST (Kuwait). Received: 30/05/2017.
Kuwait College of Science and Technology (KCST), Kuwait is a new private University with state-of-the-art infrastructure, focussing primarily on three programs leading to the Bachelor’s Degree: Computer Science, Computer Engineering and Electronics and Communications Engineering. The university has significant expansion plans in the coming few years. KCST is already building high reputation for its teaching and especially known for its research activities.
KCST invites applications from highly qualified and motivated candidates for tenure track positions of Assistant Professor, Associate Professor and Professor in the above programs, effective 1 September 2017. The successful candidates are expected to demonstrate a commitment to teaching, student support, research and graduate student supervision. Furthermore, they are expected to engage in scholarly activities, service to the University and professional societies.
1. Department of Electronics and Communication Engineering:
Candidates must have earned a Ph.D. degree in a reputed institution and preference will be given to candidates with emphasis in the following areas: Circuits and Systems, Microelectronics, Signal Processing, VLSI and Communications. Teaching experience of at least 2 years is essential.
2. Departments of Computer Science and Computer Engineering:
Candidates must have earned a Ph.D. degree in a reputed institution and preference will be given to candidates with emphasis in the following areas: Programing Languages, Computer Organization and Architecture, Computer Networks, Software Engineering, Data Bases and Operating Systems. Teaching experience of at least 2 years is essential.
3. Department of Sciences
Candidates must have earned a Ph.D. degree in a reputed institution in Mathematics and Physics.
Teaching experience of at least 3 years is essential.
Information about the College can be found at http://www.kcst.edu.kw/.
KCST offers competitive Tax-free salary packages that includes the following benefits:
- 60 days annual leave. (Fully paid after 9 months of continuous service with us, as per the Kuwait labor law).
- Annual tickets (for yourself, and family up to 2 kids)
- School Fees (up to 2 kids) 50% of actual fees up to 2000 KD/year for each kid (in schools in Kuwait) (to be reimbursed after probation period).
- Medical Insurance (for yourself and family - up to 2 kids)
- Settling Allowance
- Transport allowance
- Furnished apartment and transportation will be provided ONLY for the first month.
All qualified candidates are encouraged to apply. Review of applications will begin immediately, and continue until the positions are filled. For full consideration, applicants should submit
(i) cover letter,
(ii) curriculum vitae,
(iii) statement of research (3 pages maximum) and List of publication
(iv) philosophy of teaching (2 pages maximum) and
(v) list of three professional references with contact information.
Apply at: http://www.kcst.edu.kw/kcstrecruitment.aspx
or submit via email preferably with a single ZIP file to
--LOGIN--c016d1fe029af44804edc4222220275ckcst[dot]edu[dot]kw .
- PhD studentship on context-based machine learning for financial applications at University of Stirling, Scotland (UK). Received: 30/05/2017, closing date: 16/06/2017.
Cross-Faculty Research Programme: CONTEXT: Contextual learning and processing
Faculty of Natural Sciences Computing Science and Mathematics
Stirling Management School Accounting and Finance Division
Applications are invited for a PhD studentship in an interdisciplinary project on context-based machine learning with a specific emphasis on financial applications. The PhD will be undertaken under the joint supervision of the University of Stirling's Computing Science and Mathematics Division and its Accounting and Finance Division.
The PhD studentship is part of a new cross-faculty, interdisciplinary research programme (RP) called “CONTEXT: Contextual learning and processing” which concerns understanding and applying principles of contextual guidance in learning and processing of data. It combines research into the role of context in the human neocortex with computational and machine learning. This RP studies context-sensitive learning and processing from three perspectives: neuronal architecture and physiology; health and pathology; the development of new, robust algorithms for machine learning for real-world applications. This studentship will investigate the development of such algorithms specifically in financial applications. The PhD thus offers a unique opportunity to work with researchers from computing science and mathematics, the cognitive and neurosciences, and finance, all of whom are committed to the development and deployment of new approaches in machine learning.
As the PhD scholarship is co-funded by a B2B Robo Advisor firm based in Singapore, researchers have the opportunity to directly impact the use of machine learning in real-world financial applications, and there is also the possibility to gain direct experience working with a leading financial-technology company.
The student will enjoy the benefit of supervision from two faculty members spanning two academic disciplines as well as access to the research environment in these two disciplines. The candidate will also have access to facilities and support offered by Stirling University's Graduate School and the Centre for Graduate Research in Management.
Further details can be provided by Professor Bruce Graham from Computing Science (--LOGIN--235bf73591292856f991e55ece3b70f8cs[dot]stir[dot]ac[dot]uk ) or Dr Patrick Herbst from Accounting and Finance (--LOGIN--0e7a57155e194fb69301da55ab8424fdstir[dot]ac[dot]uk ).
Financial Support:
The studentship is available for three years, and includes a taxfree stipend of approximately £14,553 p.a. Tuition fees will be met by the University at the home/EU rate. Overseas applicants are required to confirm they can meet the difference between home/EU and overseas tuition fees from their own resources, for the duration of study (Information on tuition fees is available on http://www.stir.ac.uk/postgraduate/financial-information/tuition-fees/.) Subject to a satisfactory progress review at the end of the first year, the studentship will be renewed for a second year and thereafter for a third year.
Application requirements:
Candidates are expected to have a good upper second class honours degree or equivalent in a subject relevant to the field of study and/or a distinction or near distinction in a Master's degree. An MRes or equivalent degree with a high level of research training content would be an advantage. Applicants should have:
- A strong background in computing and mathematics (an understanding of machine learning is highly desirable)
- An ability to programme in a high-level computing language (such as Python, C or Java) and/or experience with Matlab (or similar)
- An interest in financial applications and research (a background in finance is desirable, but not essential)
- Good numerical and verbal communication skills English language requirements are IELTS 6.5 (with a minimum of 6 in each skill), TOEFL 577/233, or equivalent.
Application process:
In the first instance students should make a preliminary application by e-mail to --LOGIN--7628e2f13c8e9b552729cac36e5d0e4cstir[dot]ac[dot]uk with the subject line: “PhD Studentship in Context-based Machine Learning”. The application must include
- a full CV, documenting qualifications and any relevant previous experience and existing skill sets as well as containing contact details for two academic referees;
- a covering letter of max 500 words referring in detail to the relevant research area and demonstrating a strong interest in the proposed research, as well as the candidate's aptitude/skills that make her or him particularly suitable for conducting this research;
- copies of your academic transcripts. The CV and covering letter or research proposal will be used to shortlist candidates for interview. The successful candidate must subsequently apply for a place on the university's PhD programme; the scholarship offer is conditional on the student being accepted for this.
Closing date: 16 June 2017
Proposed start: 1 October 2017
- PhD positions at the Italian Institute of Technology and University of Genova (Italy). Received: 29/05/2017, deadline: 13/06/2017.
Open PhD call 2017 -- Italian Institute of Technology (Pattern Analysis & Computer Vision, PAVIS) and University of Genova
PhD Course on SCIENCE AND TECHNOLOGY FOR ELECTRONICS AND TELECOMMUNICATION ENGINEERING, curriculum in “COMPUTATIONAL VISION, AUTOMATIC RECOGNITION AND LEARNING (CODE 6654)”
Fondazione Istituto Italiano di Tecnologia (IIT - www.iit.it) together with the University of Genova opened the call for the 2017 Doctoral Course on Sciences & Technologies For Electronics & Telecommunication - Curriculum in Computer Vision, Pattern Recognition and Machine Learning (www.iit.it/phd-school).
7 PhD positions are available at the Pattern Analysis and Computer Vision (PAVIS) Dept. and at the Visual Geometry and Modeling Lab (VGM Lab) to work in Computer Vision, Pattern Recognition and Machine Learning, and more specifically on the following themes (for details see https://pavisdata.iit.it/data/phd2017/ResearchTopics_IIT-PAVIS.pdf):
Theme A - Computer vision for behavioral analysis and activity recognition
Theme B - Computer vision for the prediction of human intentions and activities
Theme C - Part-based human body modeling for Socially-Aware Computer Vision
Theme D - Crowd behavioral analysis and event recognition
Theme E - Re-identification
Theme F - Time-lapse Computer Vision for long-term 3D learning
Theme G - 3D scene understanding and spatial reasoning for autonomous systems
Theme H – Biomedical Imaging
Theme I – Connectomics
Theme L - Animal behavior analysis
More info on the above research topics can be found at https://pavisdata.iit.it/data/phd2017/ResearchTopics_IIT-PAVIS.pdf or directly asked to Prof. V. Murino or Dr. Alessio Del Bue (pavis@iit.it), or any other tutor indicated in the list of themes.
The PhD program on the listed themes will take place at the PAVIS department of Istituto Italiano di Tecnologia (IIT) located in Genova (www.iit.it).
The department focuses on activities related to the analysis and understanding of images, videos and patterns in general, even multidisciplinary, in collaboration with other research groups in IIT.
The PAVIS and VGM Lab staff has a wide expertise on computer vision and pattern recognition, machine learning, image processing, and related applications (mainly related to surveillance/security and biomedical tasks).
For more information, you can also browse the PAVIS and VGM Lab webpages to see our activities and research at: http://pavis.iit.it/ and http://vgm.iit.it/
To apply, follow the instructions indicated at this link:
https://www.studenti.unige.it/postlaurea/dottorati/XXXIII/
In short, the documentation to be submitted is: a detailed CV, a research proposal under one or more themes chosen among those above indicated (please, see also a project proposal template at the link indicated below), reference letters, and any other formal document concerning the degrees earned. Notice that these documents are mandatory in order to consider valid the application.
IMPORTANT: In order to apply, candidates must prepare a research proposal based on the research topics above mentioned.
Please, follow these indications to prepare it:
https://pavisdata.iit.it/data/phd2017/ResearchProjectTemplate.pdf
ONLINE APPLICATION DEADLINE is June 13th, 2017 at 12:00 p.m. (noon, Italian time/CET) – STRICT DEADLINE, no extension.
APPLICATIONS are possible through University of Genoa ONLINE PROCEDURE ONLY - https://www.studenti.unige.it/postlaurea/dottorati/XXXIII/
FURTHER INFO: http://www.studenti.unige.it/postlaurea/dottorati/
- Tenure track position in computer engineering at Simon Fraser University, British Columbia (Canada). Received: 24/05/2017.
The School of Engineering Science at Simon Fraser University, British Columbia, Canada, invites applications for a tenure-track faculty position in Computer Engineering, mainly at the Assistant Professor level, starting as early as Fall 2017. Outstanding candidates at Associate and Full Professor levels may also be considered. Exceptional candidates may also be considered for a Canada Research Chair at an appropriate tier. Strategically important research expertise that builds on or complements existing strengths is sought.
Candidates at the Assistant Professor level are expected to demonstrate a commitment to excellence in research, graduate student supervision, and teaching in computer engineering at the undergraduate and graduate levels. Senior applicants will have already demonstrated such excellence. The ability to bridge disciplines is desirable. A Ph.D. in Electrical and Computer Engineering or related areas by the date of appointment is required. Candidates should have P.Eng. accreditation or at a minimum secure such qualification as soon as possible after appointment.
Simon Fraser University is located in metropolitan Vancouver, one of the most livable cities in the world and has been ranked by Maclean’s Magazine as the top comprehensive university in Canada 14 times in the past 25 years. The School of Engineering Science currently has 29 faculty members, 120 graduate students, and more than 1000 undergraduate students. The school prides itself in its excellent researchers and facilities, as well as high-quality engaged students. The School of Engineering Science is home to the current Natural Sciences and Engineering Research Council (NSERC) Chair for Women in Science and Engineering.
The review of applications will begin May 29, 2017 and will continue until the position is filled. The position is subject to availability of funding and approval by the SFU Board of Governors.
To apply, please submit your curriculum vitae, research and teaching statement, plus the names and email addresses of three referees to our online application system.
All qualified candidates are encouraged to apply. However, Canadian citizens and permanent residents will be given priority. Simon Fraser University is committed to employment equity and encourages applications from all qualified women and men, including visible minorities, aboriginal people, and persons with disabilities.
Under the authority of the University Act, personal information that is required by the University for academic appointment competitions will be collected. For further details see the Collection Notice.
Sessional positions
Check back in June 2017 for Fall 2017 opportunities.
Staff positions
Visit the SFU Employment page for updates on staff position openings.
http://www.sfu.ca/engineering/About_Engineering_Science/employment-opportunities.html
- Post-doctoral Position in Computational Neuroscience at Virginia Tech (USA). Received: 22/05/2017.
The Neural Dynamics and Neural Engineering Lab at Virginia Tech has an opening for a post-doctoral position in computational neuroscience. This position is for three years and is being funded by the Army Research Office (ARO). The research project will involve employing biophysically based computational models to examine the role of rhythmic activity in the expression of emotional memories during behavior and their consolidation during sleep. An additional aim is to employ the models developed to gain insights into the pathophysiology of post-traumatic stress disorder (PTSD).
Candidates should have a Ph.D. in applied mathematics, computer science, engineering, computational neuroscience, or a related field. Strong programming skills and/or prior experience in modeling would be an asset. Interested candidates should send a CV, a statement of research interests, and the contact information for three references to --LOGIN--f319779cdce35e56d6f0e717a717775cgmail[dot]com . Arrangements can be made to meet with candidates at the Sleep conference in Boston (June 3-7) or at the Society for Industrial and Applied Mathematics (SIAM) conference in Pittsburgh (July 10-14).
- Postdoctoral positions in machine learning at the Alan Turing Institute, London (UK). Received: 22/05/2017, deadline: 15/06/2017.
3 POSTDOCTORAL RESEARCH ASSOCIATE POSITIONS:
ARTIFICIAL INTELLIGENCE ASSISTANTS FOR DATA SCIENTISTS
The majority of effort and cost in many data science projects is not in developing advanced new statistical or machine learning methods, but rather in collecting, integrating, cleaning, exploring, and preparing data for analysis, and interpreting, debugging, and presenting the results. This cost slows the adoption of data-driven techniques across a wide range of applications.
Modern methods for artificial intelligence and machine learning have the promise to dramatically reduce the effort required for these tasks. To exploit this opportunity, the Alan Turing Institute is launching a major research project to develop new automatic assistants based on artificial intelligence and machine learning to support applied data science.
This project, called Artificial Intelligence for Data Analytics (AIDA), will be led by Turing Faculty Fellows Prof Chris Williams (University of Edinburgh), Prof Zoubin Ghahramani FRS (University of Cambridge), Prof Ian Horrocks FRS (University of Oxford), and Dr Charles Sutton (University of Edinburgh).
We are seeking talented postdoctoral researchers in machine learning and semantic technologies. As many as three positions are available. These positions will be located at The Alan Turing Institute, the UK National Research Institute for Data Science, at the British Library in London.
For full consideration, please apply by
15 JUNE 2017
following the instructions here:
https://www.turing.ac.uk/jobs/3-research-associates-artificial-intelligence-data-analytics/
- Postdoc position in Non-human Primate Systems Neuroscience at Vanderbilt University (USA). Received: 20/05/2017.
Non-human Primate Systems Neuroscience - Postdoctoral Research Position
Vanderbilt University,
Dr. Thilo Womelsdorf's Attention-Circuits-Control Laboratory:
www.attention-circuits-control.org
We search for an applicant to conduct learning and attention experiments in NHP's using large-scale multi-area recordings with laminar probes.
The job is for 3 years + options to extend. Starting Date: 2017 or early 2018.
We offer:
• TEAM: Working in a team with members having advanced computational skills and running innovative high-density recording set ups
• TECHNIQUES: State-of-the-art facilities at Vanderbilt University in a laboratory Dr. Womelsdorf newly establishes.
• CONCEPTS: A rigid network approach to understand attention and learning phenomena with recordings of spiking activity in prefrontal cortex, hippocampus and the basal ganglia,
• SIGNIFICANCE: The research allows causal testing of mechanistic circuit hypotheses using various forms of neuromodulation (pharmacology, diff. stimulation techniques).
The job requires these skills:
• Experience with NHP’s
• Progamming skills
• Understanding of behavioral and electrophysiological analysis approaches in systems neuroscience.
To apply:
Please send an email with a brief outline of your major research interests and a CV to:
--LOGIN--469adc0e39357165363510eac3b744fcvanderbilt[dot]edu
Vanderbilt University is a vibrant private Research University with rich opportunities for interactions across Departments and Research Centers, located within Nashville, TN, ‘music city ‘ and people very convincingly convey it is one of the most exciting cities in the US !
- Postdoctoral positions in Computational Neuroscience at Brown University (USA). Received: 17/05/2017.
Applications for post-doctoral positions 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. Neural data consist of recordings of ensembles of single-neurons and high-density local field potentials obtained via multiple intracortical microelectrode arrays implanted in human and non-human primates.
Current research projects include:
(1) Role of neuronal network intrinsic dynamics in encoding and decoding of sensorimotor information.
(2) Multiscale neocortical dynamics in human focal epilepsy: seizure transition, propagation and termination.
(3) Precursor signatures of focal seizure transitions, prediction and control.
The ideal candidate will have a strong background in computational/theoretical neuroscience and modeling of stochastic neural dynamics.
Related 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 .
- Two PhD positions in reinforcement learning at Chalmers University of Technology (Sweden) and University of Lille, INRIA-Lille (France). Received: 17/05/2017, deadline: 31/05/2017.
Two PhD positions are available in reinforcement learning.
The first
(https://www.chalmers.se/en/about-chalmers/vacancies/Pages/default.aspx?rmpage=job&rmjob=5034)
is at Chalmers University of Technology, Sweden, and focuses on links between approximate statistics, differential privacy, computational complexity and reinforcement learning. This position is available for 5 years, and includes approximately 1 year of teaching duties and 1 year of courses. The application deadline is on May 31st.
The second
(https://sujets-these.lille.inria.fr/details.html?id=751c7271500a4ff19d08b69183ab9285)
is at University of Lille, INRIA-Lille, France, and focuses on collaborative multi-agent reinforcement learning, when some of the agents are sub-optimal, i.e. humans. This position would be available for 3 years, and be 100% research.
Both positions require candidates with mathematical maturity and a desire to work on theoretical aspects of reinforcement learning.
- PhD positions available at Vrije Universiteit Brussel (Belgium). Received: 17/05/2017, deadline: 15/07/2017.
The Vrije Universiteit Brussel AI lab has two PhD positions available which might be interesting for MSc students of A-life related programmes. Please feel free to forward the following information, More infortmation can be found by following the links. Deadline for application is July 15, 2017
The AI lab at the Vrije Universiteit Brussels is looking to fill a paid PhD position to model the acquisition of speech using spectrotemporal features and dynamic Bayesian networks. The project is part of a larger research group investigating the emergence and evolution of language and speech. Envisaged starting date is October 1st 2017
see:
https://ai.vub.ac.be/PhD_Spectrotemporal_DBN
The AI lab at the Vrije Universiteit Brussels is looking to fill a paid PhD position to model the cultural evolution of Kata Kolok, a village sign language using an agent-based model. The project is part of a larger research group investigating the emergence and evolution of language and speech. Envisaged starting date is October 1st 2017
see:
https://ai.vub.ac.be/PhDKataKolok
- 10 PhD positions in data science and systems complexity at the University of Groningen (The Netherlands). Received: 17/05/2017, deadline: 15/07/2017.
The data science and systems complexity (DSSC) center from the University of Groningen (NL) has 10 open fully paid 4-year PhD positions on the following topics:
* Adaptive Models and Big Data
* Complex Systems and Engineering
* Advanced Instrumentation and Big Data
For more information and eligibility criteria, please visit:
http://www.rug.nl/research/fse/themes/dssc/cofund/application/
- One PhD Position in Computational Neuroscience at the University of Bremen (Germany). Received: 16/05/2017.
The Computational Neuroscience lab at the University of Bremen headed by Dr. Udo Ernst offers a PhD position in the field of Neural Network Modelling and Data Analysis. Successful candidates will join an international research group dealing with Neural Dynamics, Criticality in Neural Systems, Information Processing and Feature Integration in the Visual System (www.bernstein.uni-bremen.de).
The project in the SPP 1665 “Resolving and manipulating neuronal networks in the mammalian brain - from correlative to causal analysis” funded by the DFG is entitled:
“Interareal phase coherence as a mechanism for attention-dependent neuronal signal routing”
The visual system selectively processes information in dependence on the current behavioral task. However, the neural mechanisms underlying flexible computation in the brain are presently not known. In our troica project, engineers, neurobiologists and theoreticians collaborate to investigate this important topic for understanding brain function. Your task will be to build and to simulate selective information processing in neural models of the visual system, and to compare your results to data from electrophysiological recordings and intracortical microstimulation performed in rats and macaque monkeys. You will work in a highly interdisciplinary, exciting research environment which is embedded into the “Schwerpunktsprogramm 1665” funding twelve similar projects throughout Germany (http://www.spp1665.de).
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 in Neuroscience, Physics, or Computer Sciences. They must have a strong background in physics and/or computational neuroscience and solid programming experience, ideally in Matlab or Python. 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 at your earliest convenience 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 !
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 three to four weeks and potentially ask for more documents.
- Seven PhD positions on autonomous systems at Lund University (Sweden). Received: 16/05/2017.
Wallenberg Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, and provides a platform for academic research and education, fostering interaction with Sweden’s leading technology companies. The program addresses research on autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems.
The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of autonomous systems and software. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry. Further information about WASP graduate school can be found at
http://wasp-sweden.org/graduate-school/.
Lund University now offers up to seven PhD positions within the following seven research projects. In parallel, the other university partners in WASP: KTH, Chalmers, Linköping University, and Umeå University offer up to 24 PhD positions, i.e., up to 31 positions in total. You may apply to at most two of these 31 research projects. If you apply for two projects, you need to prioritize.
Find more information and apply here:
https://lu.mynetworkglobal.com/en/what:job/jobID:148561/
- PhD student position on agent-based modeling of drones at the Burgundy Franche-Comté University, Belfort (France). Received: 10/05/2017.
These PhD works will be co-supervised by Dr. Stéphane Galland and Pr. Christophe Nicolle. And they will take place in the LE2I Laboratory (Laboratoire d'Électronique, Informatique et Image), of the Burgundy Franche-Comté University (http://www.ubfc.fr), located inside the buildings of the Belfort-Montbéliard University of Technology (http://www.utbm.fr), at Belfort, France.
The PhD student position is subject to be funding by the Regional Council of Burgundy Franche-Comté, under the umbrella of the SPIM Doctoral School.
Due date for the application: May, 31th 2017.
Date of the PhD work start at Belfort: October, 1st 2017.
Keywords
Control model of drones, agent-based simulation, semantic model of the environment.
Expected Applicant Profile and Background Knowledge
The candidate should have a strong knowledge in agent-based modeling or semantic modeling, in software engineering (simulation, performance evaluation) and in computer programming (SARL and Java programing languages).
Contact
In order to be included in the selection and interview process, please send before May 31th at Midnight the following documents in PDF format to :
Stéphane Galland - --LOGIN--f06c76ea0ee2ea73d7e08cbff1c6237butbm[dot]fr (http://www.multiagent.fr/People:Galland_stephane) and
Christophe Nicolle - --LOGIN--f6e97b8fd17e56efd7eea54933388a95u-bourgogne[dot]fr
Documents to send:
• your CV,
• a letter which explain your motivations to be applied to the PhD student position,
• recommendation letters,
• official documents describing your scholar scores during the 3 past years (including the current one).
More info: http://www.multiagent.fr/PhDPosisitionUrbanFly2017
- Postdoc position in machine learning at the University of Washington (USA). Received: 25/04/2017.
The University of Washington has a postdoc position opening in machine learning. The postdoctoral fellow will work on automatic machine learning model selection and automatically explaining machine learning classification / prediction results.
Candidates should have a PhD in machine learning from computer science or related areas, be proficient in Java programming, and be familiar with Weka source code. Experience with Spark/Hadoop is a plus.
The initial appointment is for one year with the expectation of extension given satisfactory performance. Applications will be reviewed until the position is filled. Applicants should send a CV (listing programming skills, publications, and a list of 3 or so research references) and statement of research interests to Gang Luo (--LOGIN--fb3fde590a3608cff0c90d9834f888a8uw[dot]edu ) in the Department of Biomedical Informatics and Medical Education.
The Luo lab is located near the city center of Seattle. The University of Washington, and the Seattle area in general, has an excellent community and programs in computer science, medical informatics, and related fields.
- Nine Research Positions in the Dutch Consortium 'Language in Interaction' (1.0 FTE). Received: 24/04/2017, deadline: 21/05/2017.
Nine Research Positions in the Dutch Consortium 'Language in Interaction' (1.0 FTE)
Dutch Research Consortium 'Language in Interaction'
Vacancy number: 30.02.17
Application deadline: 21 May 2017
Responsibilities
We are looking for highly motivated candidates to enrich a unique research consortium aiming to unravel the neurocognitive mechanisms of language at multiple levels. The goal is to understand both the universality and the variability of the human language faculty from genes to behaviour.
Currently, our consortium advertises 4 Postdoc and 5 PhD positions. These positions provide the opportunity for conducting world-class research as a member of an interdisciplinary team. Each position has its own requirements and profile.
For more information on the advertised positions:
www.languageininteraction.nl/jobs/BQsecond.html
Work environment
The Netherlands has an outstanding track record in the language sciences. The Language in Interaction research consortium, sponsored by a large grant from the Netherlands Organisation for Scientific Research (NWO), brings together many of the excellent research groups in the Netherlands with a research programme on the foundations of language.
In addition to excellence in the domain of language and related relevant fields of cognition, our consortium provides state-of-the-art research facilities and a research team with ample experience in the complex research methods that will be invoked to address the scientific questions at the highest level of methodological sophistication. These include methods from genetics, neuroimaging, computational modelling, and patient-related research. This consortium realises both quality and critical mass for studying human language at a scale not easily found anywhere else.
We have identified five Big Questions (BQ) that are central to our understanding of the human language faculty. These questions are interrelated at multiple levels. Teams of researchers will collaborate to collectively address these key questions of our field.
Our five Big Questions are:
BQ1: The nature of the mental lexicon: How to bridge neurobiology and psycholinguistic theory by computational modelling?
BQ2: What are the characteristics and consequences of internal brain organization for language?
BQ3: Creating a shared cognitive space: How is language grounded in and shaped by communicative settings of interacting people?
BQ4: Variability in language processing and in language learning: Why does the ability to learn language change with age? How can we characterise and map individual language skills in relation to the population distribution?
BQ5: How are other cognitive systems shaped by the presence of a language system in humans?
Successful candidates will be appointed at one of the consortium’s home institutions, depending on the position applied for. All successful candidates will become members of our Big Question teams. The research is conducted in an international setting at all participating institutions. English is the lingua franca.
What we expect from you
Each position has its own requirements and profile.
Detailed information on: www.languageininteraction.nl/jobs/BQsecond.html
General requirements for all positions are:
· a degree in one of the fields indicated for the positions;
· strong motivation;
· excellent proficiency in written and spoken English.
What we have to offer
· employment: 1.0 FTE;
· you will be appointed at one of the consortium’s home institutions, depending on the position applied for;
· terms of employment depend on the embedding institution;
· the institutes involved have regulations in place that enable their staff to create a good work-life balance.
Other Information
All institutes involved are equal opportunity employers, committed to building a culturally diverse intellectual community, and as such encourage applications from women and minorities.
Would you like to know more?
Further information on LiI consortium: http://www.languageininteraction.nl/
Further information on the different positions, including terms of employment and contacts: www.languageininteraction.nl/jobs/BQsecond.html
Are you interested?
You should upload your application (attn. of Prof. P. Hagoort) exclusively via: http://www.ru.nl/applyonline?tk=uk&recid=597242
Your application should include (and be limited to) the following attachment(s):
· a cover letter quoting at the top the number of the position you apply for;
· your curriculum vitae, including a list of publications and the names of at least two persons who can provide references.
Please apply before 21 May 2017, 23:59 CET. You may apply for more than one position.
- Postdoc Position in Neural Networks at Ruhr University Bochum (Germany). Received: 21/04/2017, deadline: 07/05/2017.
Pending funding approval, Prof. Sen Cheng in the Institute for Neuroinformatics at Ruhr University Bochum, invites applications for a full time position of Postdoctoral Scholar (TV-L E13) in Computational Neuroscience.
The position starts on 1st July 2017 and is funded for 3 years.
The research focuses on the neural bases of episodic memory and spatial navigation in rodents, including the development of quantitative models of the hippocampus.
Further information can be found at https://www.ini.rub.de/research/groups/computational_neuroscience/.
The working language at the institute is English. There is no teaching obligation.
Your Profile:
Candidates should have an excellent degree in neuroscience, physics, mathematics, engineering, or a related field. Competence in mathematical modeling, and excellent programming skills (e.g. Python, C/C++, Matlab) are mandatory. Experience with interdisciplinary research in integrative neuroscience and cognitive science and with collaborative research would be a further asset.
Please send your applications, including CV, transcripts and research statement electronically, as a single PDF file, to --LOGIN--e45a2694777881daf828b1b6b5b485c4ini[dot]rub[dot]de by 07.05.2017. Please quote the job ID number BO-2017-03-17-108925. In addition, at least two academic references may be sent independently to the above email address.
Travel costs for interviews will not be reimbursed.
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.
Contact person: --LOGIN--e45a2694777881daf828b1b6b5b485c4ini[dot]rub[dot]de
- Postdoc Position in Data Analysis at Ruhr University Bochum (Germany). Received: 21/04/2017, deadline: 07/05/2017.
Pending funding approval, Prof. Sen Cheng in the Institute for Neuroinformatics at Ruhr University Bochum, invites applications for a full time position of Postdoctoral Scholar (TV-L E13) in Computational Neuroscience.
The position starts on 1st July 2017 and is funded for 3 years.
Job description
• Analyze the learning dynamics in neural and psychophysiological data as well as behavioral data that will be collected by other projects within the framework of a collaborative research group.
• Comparing the learning dynamics between individuals, species, learning phases and learning paradigms.
• Develop algorithms to analyze the learning dynamics.
• Coordinate research with other participating projects.
Further information can be found at https://www.ini.rub.de/research/groups/computational_neuroscience/.
The working language of the institute is English. There is no teaching obligation.
Your Profile:
Candidates should have an excellent degree in neuroscience, physics, mathematics, engineering, or a related field. Competence in mathematical modeling, and excellent programming skills (e.g. Python, C/C++, Matlab) are mandatory. In addition, relevant research experience in neuroscience or a related field is required. Experience in the study of learning dynamics and in working within a collaborative research group would be a further asset.
Please send your applications, including CV, transcripts and research statement electronically, as a single PDF file, to --LOGIN--e45a2694777881daf828b1b6b5b485c4ini[dot]rub[dot]de by 07.05.2017. Please quote the job ID number BO-2017-03-17-108926. In addition, at least two academic references may be sent independently to the above email address.
Travel costs for interviews will not be reimbursed.
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.
Contact person: --LOGIN--e45a2694777881daf828b1b6b5b485c4ini[dot]rub[dot]de
- Tenure Track Faculty Position in Big Data Analytics at the University of Mons (Belgium). Received: 21/04/2017.
The Department of Informatics of the Faculty of Science at the University of Mons (Mons, Belgium) invites applications for a tenure-track faculty position in computer science, with special emphasis on big data analytics. The position is at the level of 'chargé de cours' (assistant professor). The expected starting date for the position is October 1, 2018. Qualified candidates must have a doctorate in disciplines related to computer science or computer engineering, and should have a strong commitment to teaching and an outstanding research record in applied aspects of big data analytics. The selected person should collaborate with existing research groups of the department and be active in fundraising for industrial and governmental projects.
Candidates should be able to fulfil teaching duties in the French language after two years. Teaching duties are on both the undergraduate and graduate level, and include novel courses in the candidate's domain of expertise.
The University of Mons is a university located in the French community of Belgium with about 8000 students. Information about the Department of Informatics can be found at http://informatique.umons.ac.be/.
Applications should be sent by email to Prof. Dr. Véronique Bruyère (--LOGIN--78af33356c824ba1894d9345f8f35523umons[dot]ac[dot]be ), Department Head. We encourage candidates to apply from now on. Applications must be submitted as PDF files, which include a cover letter, curriculum vitae, a one-page statement of teaching interests, a one-page statement of research interests in big data analytics, and names and contact information of at least three references. Following their application, candidates will be informed in due time about the further application procedure.
The most up to date information about the position and the application procedure will be maintained at http://informatique.umons.ac.be/job_offers/.
- Postdoctoral research fellow in 3D image analysis of intra-tumor heterogeneity at the Karolinska Institutet (Sweden). Received: 18/04/2017, closing date: 31/05/2017.
Karolinska Institutet, Department of Medical Biochemistry and Biophysics, Translational Medicine and Chemical Biology
A postdoctoral position in 3D image analysis of intra-tumor heterogeneity is immediately available in the Crosetto lab for Quantitative Biology and Technology (https://bienkocrosettolabs.org/) with the goal of studying phenotypic, genetic, and transcriptional intra-tumor heterogeneity by high-throughput microscopy imaging of serial tissue sections from different tumor types and hundreds of patients. The position is funded through a 33 million SEK research grant (Integrated Visualization of Intra-Tumor Heterogeneity) recently awarded to Dr. Crosetto by the Swedish Foundation for Strategic Research (SSF).
Research environment
The Crosetto lab is part of the Science for Life Laboratory (SciLifeLab) situated at the Karolinska Institute Solna campus. SciLifeLab is an interdisciplinary center for molecular biosciences with focus on health and environmental research, bringing under the same roof groups from four universities: Karolinska Institutet, KTH Royal Institute of Technology, Stockholm University and Uppsala University. The center features state-of-the-art technology platforms, including next-generation sequencing, high-throughput histology, super-resolution microscopy, proteomics, image analysis, and bioinformatics.
The successful candidate will join an interdisciplinary and dynamic team of international researchers, including clinicians, biologists, biotechnologists, engineers, computer scientists, and physicists. Our mission is to transform the way we understand complex biological phenomena and diseases such as cancer, by integrating next-generation sequencing technologies, single-molecule microscopy methods, and advanced computational tools.
Duties
The main goals of the project are to develop image-based metrics of phenotypic, genetic, and transcriptional intra-tumor heterogeneity in various cancer types and clinical samples, and to assess whether these metrics are predictive of clinical endpoints such as response rate and overall survival.
Specific tasks of the position will include:
• Develop tools for 2D and 3D automatic segmentation of DAPI-stained nuclei in z-stacked tissue section scans
• Develop deep learning approaches (convolutional networks) to automatically identify different cell types (tumor cells, stroma, blood vessels, etc.) in the images analyzed, with particular emphasis on identifying different immune cell types
• Apply spatial statistics methods to study the spatial distribution of different cell types, and define metrics of intra-tumor heterogeneity to be correlated with clinical endpoints (response rate, survival)
• Use 3D image data to construct high-resolution maps of the intra-tumor vasculature and model tumor growth
The successful candidate will be jointly supervised by Dr. N. Crosetto (supervision on the biological and medical part of the project) as well as by Dr. K. Smith, Director of the BioImage Informatics national facility at SciLifeLab Stockholm (supervision on the image analysis part).
Entry requirements
A person is eligible for a position as postdoctoral research fellow if he or she has obtained a PhD no more than seven years before the last date of employment as postdoc.
The successful candidate shall hold a PhD in computer science and/or physics and/or mathematics and clearly demonstrated prior experience in image processing, machine learning, and statistical analysis (not necessarily for biological applications). Proficiency in various programming languages (C++, Python, Matlab, bash) and knowledge of software engineering principles (code optimization, parallel computing) is mandatory. Familiarity with web applications design and visualization experience is a plus. Prior use of Matlab and/or Python for image analysis and familiarity with a deep learning framework (Tensorflow, Caffe, Torch) is highly desirable. Candidates with demonstrated expertise in biostatistics are particularly encouraged to apply. A strong motivation to work in an interdisciplinary and collaborative environment, and a strong sense of mission and self-drive are indispensable.
Last application date 31.May.2017 11:59 PM CET
For details and application, please visit
https://ki.mynetworkglobal.com/en/what:job/jobID:143481/where:4/
- Postdoc position on Grounded Language Learning on Robots at The University of Texas at Austin (USA). Received: 15/04/2017.
Applications are invited for a postdoctoral fellow of up to two years, possibly renewable for additional years, in the Department of Computer Science. The position will be joint across Prof. Mooney's Machine Learning Research Group and Prof. Stone's Learning Agents Research Group within the Artificial Intelligence Laboratory.
Primary responsibilities include performing cutting-edge research in collaboration with faculty and Ph.D. students.
The research will focus on developing robust, adaptive, interactive intelligent robots in an indoor environment that are capable of natural language interaction. Specifically, the goal is to develop human-robot dialog systems that learn to communicate with users through natural dialog, learning from repeated user interactions to become more robust and capable through normal use.
QUALIFICATIONS: Applicants should have a Ph.D. in Computer Science or related field. Experience in intelligent robotics and/or natural language processing is essential. Experience in grounded natural language, machine learning, and/or human-robot interaction is preferable, as is experience programming in ROS.
TO APPLY: Applicants should send by email to --LOGIN--8ad7928f14b936b527b686695ac00d01cs[dot]utexas[dot]edu and --LOGIN--ab23cdcbfce15128bb290bf742b6032ecs[dot]utexas[dot]edu
- a curriculum vitae
- names of two references with contact information
- a two-page summary of past research and relevant qualifications
- a personal Web page, if available, where further details can be found
This position is to start in the fall of 2017 or at any agreed later date. Applications will be reviewed as they are received.
CONTACTS:
Profs. Raymond Mooney and Peter Stone
The University of Texas at Austin
2317 Speedway, Stop D9500
Austin, TX 78712-1757 USA
Austin, Texas 78712-0233 U.S.A.
--LOGIN--8ad7928f14b936b527b686695ac00d01cs[dot]utexas[dot]edu , --LOGIN--ab23cdcbfce15128bb290bf742b6032ecs[dot]utexas[dot]edu
http://www.cs.utexas.edu/~mooney, http://www.cs.utexas.edu/~pstone
- Research Fellow Positions in Mobile Computing Systems at NTU-SCSE (Singapore). Received: 12/04/2017.
We are seeking a strong and motivated candidate for positions of Research Fellow in the area of Mobile Computing Systems (MCS), with specific focus on Visible Light Communication and Sensing, although other MCS related areas can also be accommodated. Remuneration will be attractive and commensurate based on the qualifications of the candidates.
A 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 and track record in one or more of the following areas:
1. Design of hardware and software for MCS.
2. Theoretical studies and practical implementations of Visible Light Communication (VLC).
3. Protocol design and realization for mobile/wireless communication and networking systems.
The position is supposed to be responsible for leading of a team of 2 Research Assistants and/or PhD students, and is expected to establish novel research directions in collaboration with the supervisor. Interested candidates can send an email to, along with a detailed CV, to Dr. Jun Luo --LOGIN--0f7bef44885b114efd6d40dac6148053ntu[dot]edu[dot]sg .
- Postdoctoral Position in 3D Computer Graphics at Mid Sweden University, Sundsvall (Sweden). Received: 12/04/2017, closing date: 31/05/2017.
The research group Realistic 3D (Multidimensional Signal Processing and Imaging – www.miun.se/stc/realistic3d), which is a part of the STC Research Centre (Sensible Things that Communicate – www.miun.se/stc), is looking for a post-doc in 3D Computer Graphics for the project Quality of Experience for Augmented Telepresence. (www.miun.se/stc/QoEAT). The project integrates technology challenges in the fields of Telepresence and Augmented Reality in the application area of industrial remote operation, in particular considering assessment of such systems. The successful applicant will collaborate with researchers and industrial partners within the project as well as with other researchers at the department. Part of the research will be carried out at the collaborating parties.
Job description: As a postdoctoral fellow you will conduct original research in the area of Computer Graphics, Augmented Reality, Telepresence, and Quality Assessment. The job includes theoretical analysis, practical experiments, algorithm design and software implementation, as well as documentation in the form of scientific articles and reports. Teaching and writing research applications may be included at a level not exceeding 20%.
Requirements: To qualify for employment as a post-doctor, applicants must hold a PhD degree or a foreign qualification deemed equivalent to a PhD. The PhD degree must have been obtained no more than three years prior to the application date; however, periods of, for example, sick leave or parental leave are deducted from the three-year period. A requirement for this position is a PhD in 3D Computer Graphics, Augmented Reality, or a closely related subject with high quality publications in the related area. Particular emphasis will be placed on a strong mathematical background and documented research experience in 3D Computer Graphics, Augmented Reality and Quality assessment.
Salary: Salary is determined on an individual basis.
Terms of employment: 1 year full-time with the possibility of a 1-year extension, entry according to agreement.
Location: Sundsvall.
Information: For further information, please contact Research Director Prof. Mårten Sjöström, --LOGIN--5784e9f30b46a9dd03b641e4d41004femiun[dot]se , +46 10 1428836, or Head of Department, Dr. Patrik Österberg, --LOGIN--9d79e94d2120814a7a38c508c31ab3e5miun[dot]se , +46 10 1428614, Projekt leader Prof. Kjell Brunnström, --LOGIN--f95cdf6c7c2a0de4dadc908c2f31e14bmiun[dot]se , +46 70 8419105.
Please include the following in your application:
• A text describing your reasons for applying, qualifications relating to the position, and plans for the position.
• Curriculum vitae.
• Copies of diplomas (Master of Science and PhD).
• Scientific qualifications. Include a complete list of publications indicating which works you would like to be considered. No more than 5 publications may be included.
• Dissemination qualifications, including participation on committees, boards, organizations and similar.
• Additional qualifications relating to the position.
• References/recommendations.
The application must be received no later than 31 MAY 2017. The application must be sent to --LOGIN--d336b8b8e659a5ab9406be342f507eafmiun[dot]se or as three identical copies via mail to Registrar, Mid Sweden University, SE-851 70 Sundsvall, Sweden. Please indicate the position reference number MIUN 2017/788.
Mid Sweden University works actively for equal opportunities and strives to embrace the qualities that diversity and equality bring to the organization.
- Faculty Positions in Connected Systems at the University of Warwick (UK). Received: 12/04/2017, closing date: 07/05/2017.
The Connected System Group in the School of Engineering at Warwick is looking to hire two full-time academics. The first is an Associate or Assistant Professor position specifically relating to embedded systems and hardware design for experimentation, platforms, and testbeds in communication systems and networks, smart grids, connected infrastructure, autonomous systems, and the internet of things. The second is an Assistant Professor position in communication systems.
As one of the largest integrated engineering departments in the UK, the School of Engineering supports a unique and outstanding interdisciplinary research environment spanning civil, chemical, mechanical, systems, electrical and electronic engineering. Ranked 4th in the UK in REF 2014 among integrated departments we are now looking to further strengthen our research activities in connected systems.
You will pursue independent research of internationally excellent standard as well as collaborating with colleagues within the Connected Systems Research Group to secure significant external funding through research grants or contracts to support a developing research agenda. You will publish the results of your research in top-tier peer-reviewed journals and conferences.
You will engage in teaching at all levels using relevant teaching methods, e.g. lectures, seminars, tutorials, labs, etc. and undertake curriculum and course development and revision, to the standard expected of a research-led university.
You will attend meetings and participate (where necessary) in other committees and working groups within the School of Engineering.
You will have a PhD or equivalent qualification in computer, electrical and/or electronic engineering with a focus on embedded systems, computer architecture, digital systems design, or similar. You will have a strong track record of high quality publications in established IEEE and ACM journals and conferences. You will have evidenced potential to provide leadership to a team of researchers, and to teach subjects related to connected systems to undergraduate and postgraduate students.
For appointment at Associate Professor, you will have an international reputation, proven ability to generate external funding (grants, contracts, etc.) to support research projects and tangible outcomes, a track record of PhD supervision to completion in the areas of interest, and teaching and curriculum development/improvement in areas related to computer engineering and embedded systems.
The University aims to promote work life balance for all employees and the School of Engineering will consider a range of possible flexible working arrangements in order to recruit the best candidate.
Further details are available here:
Associate/Assistant Professor (Hardware): https://goo.gl/slVMNr
Assistant Professor (Comms): https://goo.gl/ox0cYe
- PhD Position in Time-Senstive Networking at the University of the Basque Country, Bilbao (Spain). Received: 11/04/2017.
The University of the Basque Country offers a PhD position about TSN (Time Sensitive Networking) networks.
TSN networks have got successfully into the field of the Industry 4.0, as they support real-time-information interchange, about control processes and factories tracking.
The applicant is expected to design and implement a low level hardware, in an FPGA, which supports suitable priorities, traffic and medium access for TSN networks.
It will also be in charge of generating the necessary software for the created hardware, in order to work properly.
Applicant's profile:
* MsC degree: Engineering of Telecommunication, Electronics, Informatics, Physics or similar.
* Required knowledgement: VHDL, Vivado, C, Python, Linux
Position of 3 years, plus another extra one, if suitable.
For more information, please contact with Dr. Jaime Jiménez at --LOGIN--6445350e956049e75a9ac33f6f476a6aehu[dot]eus
- PhD in Computational Neuroscience at the University of Exeter (UK). Received: 05/04/2017, deadline: 10/04/2017.
PhD in Computational Neuroscience at the University of Exeter (fully funded)
*Closes in 4 days*
3.5 year college funded PhD Studentship in Computational Neuroscience:
Neural dynamics of perceptual competition
Ref: 2589
Open to UK, EU and International students with maintenance (£14,296 per year) and tuition fees fully funded
http://www.exeter.ac.uk/studying/funding/award/?id=2589
This interdisciplinary project will use mathematical modelling, in conjunction with psychophysics (human perception experiments), to better understand the neural competition underpinning the dynamics of perception. Ambiguity in fixed sensory stimuli can lead to spontaneous switches in perception, both in vision, e.g. binocular rivalry, Necker cube, and audition, e.g. auditory streaming (switches between grouped or segregated interpretations of tone sequences). A set of common characteristics (inevitability of perceptual changes, exclusivity between the competing percepts, and randomness in the percept durations), generalise across sensory modalities. The neural competition driving these perceptual switches has been successfully modelled in small networks of Wilson-Cowan (firing rate) units, each associated with the different perceptual interpretations. For certain stimuli, where competition takes place across a continuous feature space (say, visual orientation, motion direction, or auditory pitch), a continuum model, such as the neural field equation can be applied. This PhD project will involve the derivation of perceptual competition models in a dynamical systems framework, based on plausible neural mechanisms commonly found in sensory cortex. Modelling hypotheses and predictions will be tested against experimental data collected in our lab or from collaborators. On the modelling side, tools from bifurcation analysis including numerical continuation will be applied to investigate dynamics. The project will be flexible in terms of the balance between modelling and experiments. Candidates with quantitative backgrounds (mathematics, physics, and engineering) and from neuroscience or psychology programmes are encouraged to apply. Programming experience and/or knowledge of dynamical systems theory is a plus.
Contact: --LOGIN--7bf2569cc0f18af25e5f2d8b5243e157exeter[dot]ac[dot]uk
Informal enquiries welcome.
Application deadline: 10th April 2017
- Post-Doc and PhD positions available at Durham University (UK). Received: 03/04/2017, deadline: 02/05/2017.
We have vacancies coming up for a post-doc and a PhD student on a 3-year Leverhulme-funded project, “Learning to perceive and act under uncertainty”. The project is supervised by Marko Nardini and Ulrik Beierholm at Durham University (UK) and aims to understand how humans learn new sensory and motor mappings and new perceptual priors for perception and action under uncertainty.
The post-doc will work on behavioural studies with adults and computational modelling, while the PhD student will address development in childhood. The postdoc can be from anywhere, but the PhD studentship pays only UK or EU tuition fees.
Prospective applicants can find all the details at http://community.dur.ac.uk/marko.nardini/ and are welcome to contact --LOGIN--95bfeb9992a1bd38fb36032ff38512f3durham[dot]ac[dot]uk and --LOGIN--9a5098b1173a4c44be183904f80483a0durham[dot]ac[dot]uk for any more information.
- Two Post-doctoral Positions in Machine Learning at the University of New South Wales, Canberra (Australia). Received: 01/04/2017, closing date: 23/04/2017.
Two post-doctoral positions in Machine Learning are available at The Trusted Autonomy Group, University of New South Wales, Canberra Campus, Australia.
Project 1 (1-year extendable to 3 years): The successful candidate will work with a multi-disciplinary research team on an Australian Research Council funded project to design new deep learning and (deep) reinforcement learning algorithms to learn human cognitive indicators for closed-loop trusted human-simulation interaction tasks.
Project 2 (1-year extendable to 2 years): The successful candidate will work with a multi-disciplinary research team on a Defence Science and Technology Group funded project to design new machine learning techniques for cognitive activity recognition and automatic task analysis for closed-loop trusted human-machine interaction tasks.
Positions will close 12 midnight 23 April 2017 (Australian Easter Time). The selection process will start immediately after the closing date and the successful candidates are expected to start July/August 2017 or by negotiation.
For information on how to apply, visit
Project 1: https://www.unsw.adfa.edu.au/research-associate-arc
Project 2: https://www.unsw.adfa.edu.au/post-doctoral-fellow-0
Applicants must address every selection criterion with evidences.
Inquiries should be directed to Prof. Hussein Abbass at both --LOGIN--92807efe7af1939c7461d5db26548265adfa[dot]edu[dot]au and --LOGIN--460ec51c0b0158342c076984ab078cb6gmail[dot]com
- Postdoc positions in event-based vision and neurocomputing systems at TU München (Germany). Received: 30/03/2017.
The NST group at TU München,
Germany,
is looking for up to two postdoctoral researchers to join the group as soon as available.
Research covers event-based vision and neurocomputing systems from biological modelling to engineering applications.
http://www.nst.ei.tum.de/en/research/
Upcoming projects address engineering applications of neural computation; e.g. neuronal models for sensory perception, reasoning, and action generation in robotics. Preference will be given to (a) engineering applications of event-based vision and (b) investigations in spiking computing algorithms on neuromorphic hardware, such as SpiNNaker, TrueNorth, Spikey, etc. The successful postdoc is expected to initiate novel research projects (initial funding is available) and to supervise graduate and undergraduate students in his/her area of expertise. Strong programming skills are essential!
Current funding is secured until September 2018 with possible extension. The positions include a reduced teaching obligation of ~2.5h per week in the recently established ENB Elite Master Program on NeuroEngineering (http://www.msne.ei.tum.de).
To inquire please send brief email to --LOGIN--3abd47e10b244dbd87b9a675eed33f75nst[dot]ei[dot]tum[dot]de . To apply, please send a concise (max 1/2 page) statement of your research interest and how you fit in our group, accompanied by your CV and names + email addresses of 2 references to --LOGIN--3abd47e10b244dbd87b9a675eed33f75nst[dot]ei[dot]tum[dot]de . We are very much looking forward to extending our group!
- PhD Fellowship in Robotics and Intelligent Systems at the University of Oslo (Norway). Received: 30/03/2017, closing date: 18/04/2017.
A fully-funded PhD position in Machine learning/Artificial intelligence for prediction in robotics or music technology is available in the Robotics and Intelligent Systems group at the University of Oslo, Norway (http://www.mn.uio.no/ifi/english/research/groups/robin )
The PhD project will be connected to our ongoing Research Council of Norway funded projects about Robot Companions for Elderly Care and/or Prediction and Coordination for Robots and Interactive Music. They are both concerned with applying machine learning/artificial intelligence for analyzing multi-sensor systems to train behavior models of both robots and human users for predicting future events and actions. The projects target to develop computational intelligence models being able to represent behaviour and act with timely response through prediction capabilities whether it regards the systems itself or its user. In the application, please briefly describe the relevance of the Master thesis work and other project work relevant for the position and what you would find most interesting and relevant to work with if offered a position.
The fellowship will be for a period of 3 years with a potential for a fourth year for duty work (see announcement for details).
More information about the position is given here: http://www.mn.uio.no/ifi/english/research/doctoral-degree/seven-phd-research-fellowships-in-informatics/projects/p25-robin-prediction-in-robotics.pdf
Qualifications: Applicants must hold a Master’s degree or equivalent in computer science including robotics and machine learning/artificial intelligence. Thus, applicants should have a strong background in programming and knowledge about biology-inspired techniques and machine learning. Moreover, knowledge in the fields of rapid prototyping, simulation, and reconfigurable logic/electronics would be an advantage. The candidate should have experience with practical work as we expect the project to involve robot prototypes. The applicants would be competing with candidates applying to other announced positions at our department. Thus, having international scientific publications would be a strength.
Pay grade: NOK 432 700 - 489 300 per year, approx.: $50,300 – 56,900 / €47,000 − 53,200 (depending on qualifications and seniority)
Full announcement and application portal: https://www.jobbnorge.no/en/available-jobs/job/135487/phd-research-fellowships-in-informatics-seven-positions
Include “P25/ROBIN/Prediction in Robotics” in the heading of your application when you apply through the web interface.
Closing date for applications: 18th April, 2017
Contact for more information: Prof. Jim Torresen E-mail: --LOGIN--03d391ebc24dfe6bde6f69333b51a035ifi[dot]uio[dot]no
- Postdoctoral Position in neural ensemble dynamics during REM sleep at University of Strathclyde, Glasgow (UK). Received: 30/03/2017.
Applications are invited for a postdoctoral research position in the group of Dr Shuzo Sakata in Strathclyde Institute of Pharmacy and Biomedical Sciences at University of Strathclyde, Glasgow, UK. This position is funded by the Leverhulme Trust.
Mission of our research team is to understand state-dependent information processing in the brain at the level of neural circuits. This project particularly concerns REM sleep. Taking multidisciplinary approaches, we are aiming to elucidate the function of sub-second brain waves and underlying neural ensemble dynamics during REM sleep in rodents. As a large data set has been already collected, this project will focus primarily on data analysis and developing a computational model.
The successful applicant will have a PhD in the field of neuroscience, engineering, statistics, computer science, physics or related fields. Strong quantitative skills for neurophysiological data (e.g., LFP, neuronal ensemble, video image) and/or computational modelling would be advantageous.
Applicants should send (1) a CV and (2) a summary of their specific interests in our research programs to Dr. Shuzo Sakata, email: --LOGIN--7370ded673f9b32d4b15497d93beca88strath[dot]ac[dot]uk .
- Postdoctoral Research Assistant in Smart Sleep Monitoring at the University of Oxford (UK). Received: 29/03/2017, deadline: 24/04/2017.
We are seeking a full-time Post-doctoral Research Assistant to join the Institute of Biomedical Engineering, in the Department of Engineering Science. The post is funded by the National Institute of Health Research (NIHR) and is fixed-term for 3 years.
As part of a team developing novel technology and algorithms for monitoring sleep and circadian patterns of patients with RBD and Parkinson’s in home settings, you will be responsible for designing a system for a user-friendly behind the ear sleep sensor with integrated analytics for long-term monitoring of sleep and circadian rhythms at home. This work is undertaken as part of a collaboration with the neurology Department of the Oxford University Hospitals NHS Foundation Trust.
You will have a PhD (or near completion) in a relevant computer science, engineering, maths or technology subject and will possess expertise in information engineering, signal processing, or a cognate discipline. You will have experience of working in a highly interdisciplinary team.
Informal enquiries may be addressed to Professor Maarten De Vos (--LOGIN--7cc1a287a8dc8c903ab1df36c4246c06eng[dot]ox[dot]ac[dot]uk ).
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.
Only applications received before 12.00 noon on 24 April 2017 can be considered.
The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.
For further information: http://www.jobs.ac.uk/job/AYF182/postdoctoral-research-assistant-in-smart-sleep-monitoring/
- Tenure-Track Faculty positions in Robotics at ENSTA ParisTech (France). Received: 29/03/2017.
Tenured and Tenure-Track Faculty positions in Robotics at ENSTA ParisTech (with possible integration in the joint Inria-Ensta ParisTech Flowers lab)
Position description
The Computer Science and System Engineering (U2IS) at ENSTA ParisTech is opening several tenured and non-tenured faculty positions in the field of robotics.
The candidates will be recruited in the Autonomous Systems and Robotics research team (ASR), inside the U2IS laboratory. ASR dedicates itself to the development of technological systems with strong autonomy and high dependability, focusing in particular on learning, perception, navigation, human-robot interaction for assistive robotics and intelligent vehicles. The candidates will lead research and innovation activities on one or several of the following themes:
• navigation, SLAM, localization, planning and control
• perception, computer vision, image processing
• machine learning, deep learning, developmental and cognitive robotics
• system architecture for autonomous vehicles.
These activities should be conducted in the application areas of intelligent vehicles or assistive/service robotics, in link with the other members of the team. In particular, candidates could be integrated in the joint ENSTA ParisTech-INRIA FLOWERS team (http://flowers.inria.fr). The candidates are expected to participate in the development of partnerships, collaborations and contractual relations in his domain, particularly in partnership with industry. Inquiries about the scientific context of the position can be directed to David Filliat (--LOGIN--f09e507651c21a52ce2d72c45a6f2774ensta-paristech[dot]fr ) or Bruno Monsuez (--LOGIN--e9fca76e93516240728d5dc7539710eaensta-paristech[dot]fr ).
Faculty duties include teaching at the graduate and undergraduate levels, research, and supervision of student research. Basic knowledge, or willingness to learn french language are required as part of the teaching will be in french. Candidates must have the ability to develop a leading research program with a focus on technology development and translation into concrete applications of robotics or Intelligent Vehicles.
About ENSTA
ENSTA ParisTech is one of the most renowned French institutes of engineering education and research (Grande Ecole). Located in Palaiseau, it offers graduate level scientific education, excellent research facilities and a broad international network. It is a founding member of Paris-Saclay University, a federal university composed of 19 institutions (Universities, Grandes Ecoles, Research organisms). Large companies have also settled their research center in this area so that by 2020, this scientific cluster, the largest in France, will gather up to 15% of French research.
Application
Requirements for applying for tenured position are: possession of a doctoral university degree, excellent skills in teaching and research, completed habilitation (post-doctoral degree) or comparable research experience, obtained as part of an academic or non-academic position.
Requirements for applying for non-tenured position are: possession of a doctoral university degree, a good teaching experience, have a strong publication record, and have experience with conduction research projects. The successful candidates will be expected to conduct high quality research, teach to a diverse and talented student body, and secure competitive external funding.
The complete application package required includes:
• a curriculum vitae including a list of publications;
• a brief statement explaining the candidate's contribution to their best two publications, with embedded links to the publications in pdf format;
• a research statement;
• a teaching statement including a list of lectures the candidate could teach;
• the names and email addresses of three references.
Applications should be sent to: Bruno Monsuez (--LOGIN--e9fca76e93516240728d5dc7539710eaensta-paristech[dot]fr ). The positions will open on March 30th, 2017 and the selection process will continue until the position is filled.
Links
• ENSTA ParisTech
• Official position description (in French)
• Autonomous Systems and Robotics team
- PhD or Postdoc in image processing and psychophysics for visual neuroprosthesis at Radboud University, Nijmegen (The Netherlands). Received: 29/03/2017, deadline: 16/04/2017.
Responsibilities
A PhD Candidate or Postdoc position is available in the Visual Neuroscience and Computational Cognitive Neuroscience groups at the Donders Institute for Brain, Cognition and Behaviour (Radboud University, Nijmegen, Netherlands). This exciting project is one of five closely interrelated sub-projects, funded by a Dutch NWO (TTW) grant to advance the relatively young field of brain-machine interfaces for vision restoration. Our international consortium comprises researchers in neurobiology and AI, engineers in microelectronics and wireless communications, and leading industry partners from the Netherlands and abroad.
You will carry out academic research in image processing and behavioural testing for the development of neuroprostheses for blind persons. You will report and publish your research findings in separate articles during the course of your project. These articles will form part of your doctoral thesis, which you will defend at the end of your research in order to obtain a PhD degree. In addition to your research activities you will be expected to take part in the Cognitive Neuroscience Graduate School of the Donders Institute for Brain, Cognition and Behaviour. As part of this programme you will improve basic skills such as academic writing as well as broaden and deepen your knowledge by participating in symposia, colloquia and summer schools. You will be expected to take part in the teaching of Bachelor’s and Master’s students.
Based on the needs of blind persons, you will design, implement and test image processing software on mobile devices in order to convey practical information that is behaviourally relevant and contextually appropriate. You will test and refine the image-processing tools with realistic simulations of electrically generated vision in sighted subjects. You will test properties of the evoked images, allowing the evaluation of the utility of ‘phosphene vision’ in daily life.
Work environment
The Donders Institute for Brain, Cognition and Behaviour is a world-class research centre devoted to understanding the mechanistic underpinnings of the human mind. The Institute is home to more than 600 researchers from 35 countries. You will join the Visual Neuroscience group of Prof. Richard van Wezel and the Computational Cognitive Neuroscience group led by Dr van Gerven at the Donders Institute for Brain, Cognition and Behaviour (Radboud University, Nijmegen, Netherlands). These groups investigate visual processing (see www.van-wezel.nl) and neural network-based modelling of cognitive processes (see www.ccnlab.net).
What we expect from you
You should have an MSc or PhD degree (or equivalent) in a field related to neuroscience (e.g. artificial intelligence, cognitive science, physics or biology). Candidates familiar with image processing, machine learning, deep neural networks, software development and behavioural testing are particularly encouraged to apply. Experience with computer programming (e.g. Python, C++, etc.) is a prerequisite. You are expected to work in an interdisciplinary environment, sharing technical know-how and ideas.
What we have to offer
• employment: 1.0 FTE;
• in addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus;
• PhD: the starting salary is €2,191 per month on a full-time basis, the salary will increase to €2,801 per month in the fourth year (p scale);
• Postdoc: the starting salary is €2,552 per month on a full-time basis, the salary will increase to €4,028 per month in the fourth year (scale 10);
• duration of the contract: PhD 4 years, Postdoc 3 years;
• your performance will be evaluated after 18 months. If the evaluation is positive, the contract will be extended;
• you will be classified as a PhD Candidate (promovendus) or Postdoctoral Researcher 4 (onderzoeker) in the Dutch university job-ranking system (UFO).
Are you interested?
You should upload your application (attn. of Prof. dr. Richard van Wezel) via the following link:
http://www.ru.nl/werken/details/details_vacature_0/?recid=596959
Your application should include (and be limited to) the following attachment(s):
• Motivation letter
• CV including the contact details of two people who we may approach for recommendations
• One page summary of your Master’s/PhD project
For more information about this vacancy, please contact:
Prof. dr. Richard van Wezel
Telephone: +31 24 3614247
E-mail: --LOGIN--3199ad276db6caedefdaa1980d843231donders[dot]ru[dot]nl
Dr. Marcel van Gerven
Telephone: +31 24 3655931
E-mail: --LOGIN--abe6d42704680317416438db93f2c3e7donders[dot]ru[dot]nl
- Associate Professor (Tenure Track Position) in Digital Fabrication of Smart Objects at the University of Oulu (Finland). Received: 27/03/2017, deadline: 31/03/2017.
Field and location: To strengthen its profile at international level the University of Oulu announces a tenure track position for Associate Professor in digital fabrication of smart objects.
The position is placed at the Center for Ubiquitous Computing (UBICOMP, http://ubicomp.oulu.fi) in the Faculty of Information Technology and Electrical Engineering (ITEE). With 3 professors and about 20 postdocs UBICOMP is the largest cluster of HCI and ubicomp researchers in Finland and one of the largest in Europe. UBICOMP conducts multidisciplinary research on next generation interactive systems and its results are regularly published in leading journals and conferences in the field. The associate professor will have access to world-class research infrastructure on campus, including the well-equipped FabLab Oulu (http://www.oulu.fi/fablab/), a professional workshop with tools and expertise for building more complex devices, and a 5G test network. The associate professor will join an international and multidisciplinary research community of researchers from multiple faculties and disciplines that collaborates on new ubiquitous technologies and digital solutions.
The Associate Professor is recruited to the field of digital fabrication of smart objects, to strengthen our research on next generation interactive technologies. The Associate Professor is expected to develop a research agenda that explores how emerging digital fabrication, embedded computing, wireless communication, sensing and interaction technologies can be used with prototyping to develop new smart objects, applications, services and “personal fabrication” ecosystems. The Associate Professor is expected to exploit and further develop our substantial infrastructure investment in digital fabrication, and to create related BSc and MSc level courses to our Applied Computing curriculum.
Job responsibilities, required qualifications and career advancement:
The tenure track position is open to highly talented individuals who hold a doctoral degree and have excellent potential for a successful scientific career. A successful candidate is expected to conduct outstanding world-class scientific research, to be competitive in attracting external funding, to publish in leading journals and conferences, to supervise PhD students, to be an active member of the international scientific community, and to exhibit academic leadership.
The applicants are evaluated based on the following criteria by high-level international researchers:
• Publications on an international level: dissemination, quality of the publication forums, references to the publications
• Active role in research training
• Acquisition of external funding
• Working in more than one research facility during one’s career (in most fields represented at the University of Oulu this signifies working abroad)
• An active role in the international scientific community
• Acknowledgements and awards.
The position will start on 1 January 2018, or later according to mutual agreement with the successful applicant. The position is initially a fixed-term position for five years. The Associate Professor may advance through the tenure track process and be appointed to a permanent position as a professor or a distinguished professor. Career advancement on the tenure track is based on performance assessments that measure the Associate Professor’s merits using the above-mentioned criteria and the University of Oulu Tenure Track guidelines (http://www.oulu.fi/university/node/38379).
Salary: The salary of the appointed researcher will be based on the demand level chart for the teaching and research staff of Finnish Universities. In addition to the basic salary of the appropriate tenure track level, supplementary salary will be given for personal achievement and performance, the sum rising to a maximum of 46.3 % of the basic salary level for the post. The salary thus being roughly 4,100 - 5,400 €/month.
Other benefits: Finland is one of the most livable countries, with a high quality of life, safety, excellent education system, and competitive economy. The successful candidate will receive full benefits provided by the University of Oulu to university employees, including free time corresponding to holidays and free occupational health care services. The successful candidate will receive also benefits provided by the Finnish government to residents, for example possibility to obtain access to the national healthcare system, tax benefits for employees with children and high-quality affordable childcare services.
Applications: Applications, together with all relevant enclosures, should be submitted electronically by 31.3.2017 by clicking on the “Go to application page” button.
The application should be written in English and the following information needs to be included:
• An application letter with contact information
• A curriculum vitae following the guidelines of the Finnish Advisory Board on Research Integrity (tutkimuseettinen neuvottelukunta). The guidelines are available at http://www.tenk.fi/en/template-researchers-curriculum-vitae and a template at http://www.tenk.fi/sites/tenk.fi/files/CV_english_270613.pdf.
• List of publications, ten most important ones marked
• A brief account of research merits (max 1 page)
• A brief account of teaching merits or a teaching portfolio (max 2 pages)
• Acquisition of research funds
• A brief research and action plan (max 3 pages)
• Contact details of 2 - 4 persons available for recommendation
Evaluators: The selection procedure will be carried out by an Appointment Committee according to the University of Oulu Tenure Track guidelines.
Contact details: In order to receive the information and announcements concerning the official selection procedures to be followed in order to fill this post, applicants must inform the Center for Ubiquitous Computing at the University of Oulu of their contact details for the whole duration of the selection process: they must specifically provide both their home and work telephone numbers, e-mail addresses, fax numbers and postal addresses.
For further information and enquiries about this post, and about the application and selection procedures, please contact:
Professor Timo Ojala, Faculty of Information Technology and Electrical Engineering, Center for Ubiquitous Computing, University of Oulu
P.O. Box 4500, FI-90014 Oulun yliopisto
phone: + 358405676646
email: --LOGIN--7980c8e4958ae0b82e7fd502db0d9dcdoulu[dot]fi (not for applications)
About the employer
University of Oulu is an international research and innovation university engaged in multidisciplinary basic research and academic education. The University of Oulu is one of the largest universities in Finland with 14 000 students and 3 000 employees. The university encompasses ten fields of study: Architecture, Biochemistry and Molecular Medicine, Humanities, Education, Economics and Business, Science, Medicine and Dentistry, Information Technology and Electrical Engineering, Technology and Mining. The University of Oulu researchers contribute to solving global challenges by combining multidisciplinary approaches, high level research and fruitful collaborations in the following five focus areas:
1. Creating sustainability through materials and systems
2. Molecular and environmental basis for lifelong health
3. Digital solutions in sensing and interactions
4. Earth and near-space system and environmental change
5. Understanding humans in change
Collaboration across scientific fields is strongly encouraged and supported within the University. More information http://www.oulu.fi/english/.
The University of Oulu in Northern Finland, with approximately 16 000 students and 3000 employees, is an international, multidisciplinary research university with a rich pool of creative and intellectual talent. The strengths of the University are broad multidisciplinary research interests, modern research and study environment and wide cooperation with international research and educational institutes (http://www.oulu.fi/english/).
- Research Assistant position in Neuroimaging and Computational Neuroscience at Stanford University (USA). Received: 25/03/2017.
Brain Dynamics Lab
Department of Psychiatry and Behavioral Sciences
Stanford University School of Medicine
About us:
BDL is a computational neuropsychiatry lab dedicated to developing computational methods for a better understanding of individual differences in brain functioning in healthy and patient populations. Current projects include – [1] Characterizing spatiotemporal dynamics in brain activity to develop person- and disorder-centric biomarkers; [2] Understanding the role of brain dynamics for optimized learning and performance in individual and team settings; and [3] Developing methods that use network science (or graph theory), connectomics, machine learning, and signal processing for better understanding of brain dynamics.
Job Description:
Applications are currently being invited for a Research Assistant position in the Brain Dynamics Lab @ Stanford, under the direction of Dr. Manish Saggar. Responsibilities for this position include: Developing neuroimaging experiments, collecting neuroimaging data, processing and analysis. Imaging modalities to be handled include functional and structural MRI, EEG, and fNIRS.
Job Qualifications:
The minimum qualifications for a successful candidate include: [1] Bachelors in Electrical Engineering, Biomedical Engineering, Computer Engineering, Computer Science, Computational Neuroscience, Data Science, or other related scientific fields.
[2] Proficient in programming in Matlab, Python, and other related computing languages.
[3] Experience with AWS or other cloud computing environments is preferred, but not required.
[4] Experience with one or more MRI/EEG/NIRS data analysis packages (e.g., AFNI, FSL, EEGLAB, HOMER etc.) is preferred, but not required.
[5] Ability to work effectively in a very collaborative and multidisciplinary environment.
For inquiries please contact Dr. Manish Saggar (http://web.stanford.edu/~saggar) at --LOGIN--2fa9bce382c9fdad1763ea1f35d63207stanford[dot]edu .
To apply please send your CV to --LOGIN--2fa9bce382c9fdad1763ea1f35d63207stanford[dot]edu .
- Postdoctoral researcher positions in human and machine learning at Rutgers University - Newark (USA). Received: 24/03/2017.
The Cognitive and Data Sciences lab in the Mathematics and Computer Science department at Rutgers University - Newark has multiple openings for postdoctoral researchers. The positions are supported by (multiple, separate) NSF and DARPA grants. Researchers interested in the intersection between human and machine learning, with expertise in probabilistic machine learning and/or pure and applied mathematics, are encouraged to apply. Specific experience with MCMC, gaussian processes, variational inference, and/or deep learning would be a positive, as would expertise in group theory, geometry, and/or topology. However, applications from individuals with other areas of expertise are also strongly encouraged.
The Cognitive and Data Sciences lab is comprised of 6 postdocs, 2 graduate students and 2 post-bac researchers spanning physics, mathematics, cognitive development, and vision science. We maintain close collaborations with pure mathematics, cognitive development, vision, and neuroscientists across the greater NYC area. Lab projects use virtual reality, Bayesian methods (including nonparametrics), and methods from pure mathematics to hack human perceptual, cognitive, and social learning. Specific goals include the development of modified reality and explainable AI.
APPLICATION PROCESS:
Email Dr. Shafto as soon as possible with a CV (including contact information for references), unofficial transcript, and short cover letter explaining why you are interested in and well-suited for the position: --LOGIN--d75705232c88fe0571de825f5a3da3c0gmail[dot]com
Expected start date would be summer 2017 or sooner.
Sent on behalf of the CoDas Lab (http://shaftolab.com/).
- Open PhD position in edge cloud computing at IRISA and the University of Rennes 1 (France). Received: 24/03/2017.
IRISA and the University of Rennes 1 (France) have an open position for a PhD student in the domain of edge cloud computing. Interested candidates are invited to contact Guillaume Pierre (--LOGIN--c0ac8382c00d8d1075a1abb94f704ae5irisa[dot]fr ) as early as possible.
Title: Decentralized Fog Computing Infrastructure Control http://www.irisa.fr/fr/offres-theses/decentralized-fog-computing-infrastructure-control
Description:
Cloud computing infrastructures are very powerful and flexible, but they are also located very far from their end users. Typical network latencies between an end user and the closest public cloud data center are in the order of 20-40 ms over high-quality wired networks, and 100-150 ms over 4G mobile phone connections. This performance level is acceptable for simple applications such as web browsing, but it makes it impossible to create a wide range of interactive applications. For example, to enable an “instantaneous” feeling, augmented reality applications require that end-to-end latencies (including all networking and processing delays) remain below 20 ms.
To address these issues, a new type of “fog computing” infrastructures is being designed [1,5]. Instead of treating the mobile operator's network as a high-latency dumb pipe between the end users and the external service providers, fog platforms aim to bring cloud resources at the edge of the network, in very close physical proximity with the end users. This is expected to offer extremely low latency between the client devices and the cloud resources serving them.
Fog platforms have very different geographical distribution compared to traditional clouds. Classical datacenter clouds are composed of many reliable and powerful machines located in a very small number of data centers and interconnected by very high-speed networks. In contrast, fogs are composed of a very large number of points-of-presence with a couple of weak and potentially unreliable servers, interconnected with each other by commodity long-distance networks.
However, the management part of current fog computing platforms remains centralized: a single node (or small group of nodes) is in charge of maintaining the list of available server machines, monitoring them, distributing software to them, deciding which server must take care of which task, etc. This organization generates unnecessary long-distance network traffic, does not handle network partitions well, and may even create legal issues if the controller and the compute/storage nodes are located in different jurisdictions.
The goal of this project is to reduce the discrepancy between the broadly distributed compute/storage resources and the -- currently -- extremely centralized control of these resources. We can exploit the fact that the virtual resources in a fog computing platform are in most cases created in immediate proximity of the user(s) who will access them. In this perspective, the platform management processes could be distributed evenly across the infrastructure nodes so that the virtual and physical resources, the users accessing them, and the management processes organizing this system, will be co-located within a few hundred meters from each other. One interesting direction to address this problem -- which remains to be (in)validated by the doctoral student -- is to execute cloud resource scheduling algorithms [7] on every point-of-presence of the system (whereas traditional clouds centralize these algorithms in a single node), and to base the necessary coordination of multiple schedulers on gossiping algorithms [6] between neighboring points-of-presence.
This project will be conducted within the IRISA Myriads team which is working on the design of innovative infrastructures and middleware for future fog computing platforms [2,3,4].
References:
[1] “MEC-ConPaaS: An experimental single-board based mobile edge cloud.” Alexandre van Kempen, Teodor Crivat, Benjamin Trubert, Debaditya Roy and Guillaume Pierre. In Proceedings of the IEEE Mobile Cloud conference, April 2017.
[2] “Kangaroo: A Tenant-Centric Software-Defined Cloud Infrastructure.” Kaveh Razavi, Ana Ion, Genc Tato, Kyuho Jeong, Renato Figueiredo, Guillaume Pierre and Thilo Kielmann. In Proceedings of the IEEE International Conference on Cloud Engineering (IC2E), Tempe, AZ, USA, March 2015. http://www.globule.org/publi/KTCSDCI_ic2e2015.html
[3] “ConPaaS: a Platform for Hosting Elastic Cloud Applications.” Guillaume Pierre and Corina Stratan. IEEE Internet Computing 16(5), September-October 2012. http://www.globule.org/publi/CPHECA_ic2012.html
[4] “The mobile edge cloud testbed at IRISA Myriads team.” https://youtu.be/7uLkLitiSPo
[5] “Fog Computing and its Ecosystem.” Ramin Elahi, tutorial at the USENIX FAST conference, 2016. http://bit.do/c2Ta7
[6] “Gossip-based peer sampling.” Mark Jelasity, Spyros Voulgaris, Rachid Guerraoui, Anne-Marie Kermarrec and Maarten Van Steen. ACM Transactions on Computer Systems 25(3), 2007. http://acropolis.cs.vu.nl/~spyros/www/papers/Gossip-basedPeerSampling.pdf
[7] “A Survey on Resource Scheduling in Cloud Computing: Issues and Challenges.” Sukhpal Singh and Inderveer Chana. Journal Grid Computing 14, 2016. http://link.springer.com/article/10.1007/s10723-015-9359-2
Required qualifications:
- A master degree in distributed systems and/or Cloud computing.
- Excellent programming skills in Linux environments.
- Excellent communication and writing skills.
- Good command of English.
- Knowledge of the following technologies is not mandatory but will be considered as a plus:
* Cloud resource scheduling
* Distributed container systems: Kubernetes, Docker Swarm.
* Single-board computers such as Raspberry PI
* Python and shell scripting
* Revision control systems: git, svn.
* Linux distributions: Debian, Ubuntu.
* Note that knowledge of French is *not* required for this position.
Contract duration: 3 years, full time.
Start date: September or October 2017.
Location: Rennes is the capital city of Britanny, in the western part of France. It is easy to reach thanks to the high-speed train line to Paris. Rennes is a lively city and a major center for higher education and research. The job will take place within the INRIA/IRISA research center, which is internationally recognized for its research in the domain of information and communication sciences.
Applications: to apply to this position, please send the following documents to Guillaume Pierre (--LOGIN--c0ac8382c00d8d1075a1abb94f704ae5irisa[dot]fr ):
- A detailed CV
- A motivation letter
- Grade transcripts
- If possible: TOIC/CLES/TOEFL/IELTS certificate
- Two recommendation letters.
Contact: for any information bout this position please contact Guillaume Pierre (--LOGIN--c0ac8382c00d8d1075a1abb94f704ae5irisa[dot]fr ).
http://www.globule.org/~gpierre/
- PhD position in neural mechanisms underlying the interlimb transfer of motor learning at Aix-Marseille University (France). Received: 23/03/2017, closing date: 08/04/2017.
A research fellowship has just become available for a PhD student to work in collaboration with Dr. Fabrice SARLEGNA (Institute of Movement Sciences) and Pr. Olivier FELICIAN (Institute of Systems Neuroscience) in Marseille, France. The aim of the project is to study the neural mechanisms underlying the intermanual transfer of sensorimotor adaptation. More specifically, the proposed approach is to assess the motor skills of healthy individuals and patients with lesions of the corpus callosum. Motion capture and neuroimaging techniques will be used, and in addition to providing additional fundamental knowledge, the project should contribute to a better assessment of neurological diseases and to the optimization of motor learning in the context of rehabilitation. The position is funded by the DOC2AMU program of Aix-Marseille University, the largest university in France and the Francophone world.
Detailed information about the project and its scientific rationale is available on the website:
http://doc2amu.univ-amu.fr/en/neural-mechanisms-underlying-the-interlimb-transfer-of-motor-learning
Due to the international specifity of the DOC2AMU program, we are looking for individuals who have not been in France for more than 12 monthd in the last 3 years. Detailed information about the funding and eligibility conditions:
http://doc2amu.univ-amu.fr/en/what-is-doc2amu
You will be in charge of conducting research experiments on healthy individuals and neurological patients. Duties will consist in attending professional meetings, recruiting and interviewing research subjects, assisting in the design of psychophysical and neurophysiological experiments, preparing the experimental equipment and protocol, recording and analyzing data, drafting oral presentations and research manuscripts, all under the supervision of F. Sarlegna and O. Felician.
You must hold (or be in the process of completing) a Masters degree or equivalent in neuroscience or affiliated specialties such as biomedical engineering, neuropsychology, experimental psychology, human motor control... Applicants from other relevant backgrounds in engineering, physics or computing science will also be considered provided they demonstrate additional qualifications in neuroscience.
Experience with programming (e.g. Matlab), data collection and analysis (including statistics) and/or human neuroscience techniques (fMRI) is desirable. Applicants should have excellent organizational skills, be highly motivated and enjoy working in a vibrant collaborative research environment. They should be able to communicate effectively in English, with evidence of strong scientific writing skills. The ability or desire to speak French is a plus considering the experiments with patients. Critically, applicants should be passionate about using their expertise for the benefit of patients for whom cross-disciplinary science has the potential to have a positive impact.
You willl work within a team of researchers and clinicians to publish in peer-reviewed journals and disseminate your work at both national and international conferences. International mobility for conferences and coursework are covered by the DOC2AMU program, which also covers research costs and travel costs between Marseille and your place of origin.
We value diversity and welcome any application.
Please do not hesitate to contact us at --LOGIN--e66bdbb63979052f765c39566e89a197univ-amu[dot]fr
Please apply online for the position before April 8, 2017 on the DOC2AMU website which is well documented with a detailed guideline for applicants.
- Tenure track faculty appointment in Real-Time Embedded Systems at Carleton University, Ottawa (Canada). Received: 23/03/2017.
The Department of Systems and Computer Engineering at Carleton University, Ottawa, Canada invites applications from qualified candidates for a tenure track faculty appointment in Real-Time Embedded Systems (RTES) at the rank of Assistant Professor beginning July 1, 2017.
We are hiring outstanding faculty members with a demonstrated commitment to excellence in teaching at both the undergraduate and graduate levels, and with expertise and dynamic research in the general area of RTES, including but not limited to the design, modeling and evaluation of Embedded and Cyber Physical Systems. Ideal candidates will have expertise in the software aspects of RTES, practical experience in building RTES, and a clear understanding of how system performance is influenced by the underlying hardware.
In addition to supervising students at the Master’s and Doctoral levels, successful candidates will deliver early-year and advanced courses on digital logic, microcontrollers, embedded systems, and cyber-physical systems, mentoring undergraduate students and supervising capstone projects, and contribute to curriculum development, improvement and reviews.
Candidates are expected to have some practical experience with assembly language programming (ideally with ARM processors), interrupt-driven programming, the development of device-level drivers using C, and the use of an IDE for microcontroller-specific board-level development.
Candidates must be prepared to participate in the evolution of undergraduate courses to include modern hardware components integrating practical experience into course labs. Familiarity with FPGAs and a high-level hardware description language (e.g., Verilog, VHDL) would be an asset.
We encourage applicants possessing leadership qualities and strong interpersonal skills who are eager to build a strong, externally funded, visible, innovative, and internationally recognized research program in RTES to apply. We will consider favorably candidates with an interest in innovative teaching methods, in collaborative and interdisciplinary approaches to scientific research, with aptitudes for building bridges with community, industry, and government agencies, and with a desire to promote interest in young people, and especially women, in a technical, engineering career.
Qualifications:
At the time of appointment, candidates must have earned a PhD in Electrical and Computer Engineering, Computer Science, or a related discipline. Candidates must show membership in a Canadian professional engineering association, or evidence that membership in such an association can be secured according to the accreditation criteria and procedures set by the Canadian Engineering Accreditation Board.
About the Academic Unit:
The Department of Systems and Computer Engineering is a research-intensive department. The Department participates in a broad range of undergraduate and graduate programs covering the Electrical, Computer, Communications, Biomedical, and Software Engineering spectrum.
Full advantage is taken of the high concentration of industry, government, and university technology organizations in the Ottawa area. For more information about the Department, please visit: http://carleton.ca/sce/.
Application instructions:
Applicants should send one PDF document that includes: a cover letter, a curriculum vitae (including a list of publications), a five-year research plan, a teaching dossier, and the names of three referees. The statement should describe how the applicant's experience will contribute to the department's mission, including, their research record, teaching philosophy, pedagogical approaches, teaching content, mentoring and recruiting activities, community engagement, and experience working with diverse communities. Applications should be sent electronically to --LOGIN--b4eb8fb7fec2f45d3d12e5f2eb48d65bsce[dot]carleton[dot]ca . Applicants who are selected for an interview will be asked to submit a teaching preference form. Please indicate in your application if you are a Canadian citizen or permanent resident of Canada.
About Carleton University:
Carleton University is strongly committed to fostering diversity within its community as a source of excellence, cultural enrichment, and social strength. We welcome those who would contribute to the further diversification of our University including, but not limited to: women; visible minorities; First Nations, Inuit and Métis peoples; persons with disabilities; and persons of any sexual orientation or gender identity and expressions. To learn more about our University and the City of Ottawa, please visit www.carleton.ca/provost.
Applicants selected for an interview are asked to contact the Chair of the Search Committee as soon as possible to discuss any accommodation requirements. Arrangements will be made in a timely manner. All qualified candidates are encouraged to apply; however Canadians and permanent residents will be given priority. All positions are subject to budgetary approval.
- PhD position in Deep Learning for machine understanding of human behaviour at Imperial College London (UK). Received: 23/03/2017, closing date: 12/04/2017.
An exciting opportunity has arisen for one PhD position at the iBUG group (https://ibug.doc.ic.ac.uk/), Imperial College London, funded from two exciting and recently started H2020 projects: SEWA (Automatic Sentiment Analysis in the Wild) and DE-ENIGMA (Multi-modal Human-robot Interaction for Teaching and Expanding Social Imagination in Autistic Children). The project may include collaboration with IBM and Honda Research Institute. This will involve building automated, computer vision and machine learning tools (based on deep learning) for machine understanding of human interactive behaviour in naturalistic contexts.
Ideal candidates should have a strong background in machine learning and computer vision. Fixed Term Appointment for up to 36 months. Applications should be submitted by midnight GMT April 12th 2017.
For information about the position and how to apply see
https://ibug.doc.ic.ac.uk/media/uploads/documents/phd-advert-sw-dee-03.pdf
- Post-doctoral researcher in cognitive neuroscience at the French Institute of Health and Medical Research, Saclay (France). Received: 22/03/2017.
Post-doctoral researcher in cognitive neuroscience (FES/EEG)
Combined functional electrical stimulation (FES) and electroencephalography (EEG) study of movement initiation
Starting date: Fall 2017 or Spring 2018
Duration: 1 year (renewable)
The French Institute of Health and Medical Research (INSERM) invites applications for a post-doctoral or research engineer position in the Cognitive Neuroimaging Group, at the NeuroSpin Research Center near Paris, France, as part of the research team of Dr. Aaron Schurger. The Schurger lab focuses on understanding how decisions are made and actions initiated spontaneously, without an external sensory cue, and how time series of neural activity can be used to forecast behavior. We pursue this research using a combination of behavioral experiments, neuroimaging, computational modeling, time-series analyses, and machine learning techniques.
We are looking for candidates who have prior experience with functional electrical stimulation (FES) and electroencephalography (EEG), although applicants with experience in only one or the other may also be considered. Experience with magnetoencephalography (MEG) is also desirable. Applicants should have a obtained a PhD in a relevant discipline prior to the starting date.
Essential skills / background:
FES and/or EEG (preferably both)
computer programming (MatLab and/or Python)
statistics
signal processing
Resources available at NeuroSpin include Siemens 3T and 7T MRI scanners; high-density EEG (EGI Inc.); Elekta NeuroMag 306-channel MEG (allowing for the simultaneous recording of EEG); eye tracking (available for MRI, MEG, and behavioral experiments); an in-house team of experts in signal processing and statistical learning; a dedicated staff handling subject recruitment, scheduling, and payment; various Nespresso devices; and proximity to Paris.
Applicants should send a CV, letter of motivation (max 2 pages), and a list of three references via e-mail to --LOGIN--464ccd569ac506bef97490296e4c11b0gmail[dot]com . Review of applicants will begin on the 15th of May 2017, and will continue until the position is filled.
The NeuroSpin Research Center is located on the campus of the CEA-Saclay, near Orsay, about 18 km southwest of Paris. For more information on the NeuroSpin Research Center and the Cognitive Neuroimaging Group:
http://www-centre-saclay.cea.fr/fr/Visite-guidee-de-NeuroSpin
http://meg-france.in2p3.fr/_lesCentres/Neurospin_en.php
http://www.unicog.org/pm/pmwiki.php
- Post-doctoral position in cognitive neuroscience at the French Institute of Health and Medical Research, Saclay (France). Received: 22/03/2017.
Interdisciplinary post-doctoral position in cognitive neuroscience
Brain-behavior forecasting: Neural antecedents of spontaneous self-initiated movement and the forecasting of behavior based on brain activity
Starting date: Fall 2017 or Spring 2018
Duration: 2 years (renewable for one additional year)
The French Institute of Health and Medical Research (INSERM) invites applications for a post-doctoral position in the Cognitive Neuroimaging Group, at the NeuroSpin Research Center near Paris, France, as part of the research team of Dr. Aaron Schurger. The Schurger lab focuses on understanding how decisions are made and actions initiated spontaneously, without an external sensory cue, and how the relevant causal processes in the brain are related to the subjective perception of personal causation. We are also interested in how time series of neural activity can be used to forecast behavior. We pursue this research using a combination of behavioral experiments, neuroimaging, computational modeling, time-series analysis, and machine learning techniques.
Applicants should have a obtained a PhD in a relevant discipline prior to the starting date.
Essential skills / background:
Signal processing
Computer programming (Matlab, Python, C, C++)
Statistics
Cognitive neuroscience
Other essential skills (at least one of the following):
Prior experience in the estimation of the Hurst exponent (1/f exponent) of time series data, OR
Strong command of Bayesian statistics
Highly-desirable skills (any one or more of the following):
Neuroimaging modalities (MEG, EEG, fMRI) and associated data-analysis tools
inverse source modeling (EEG and/or MEG)
machine learning
data fitting
computational and/or neural network modeling
behavioral psychophysics
Resources available at NeuroSpin include Siemens 3T and 7T MRI scanners; high-density EEG (EGI Inc.); Elekta NeuroMag 306-channel MEG (allowing for the simultaneous recording of EEG); eye tracking (available for MRI, MEG, and behavioral experiments); an in-house team of experts in signal processing and statistical learning; a dedicated staff handling subject recruitment, scheduling, and payment; various Nespresso devices; and proximity to Paris.
Applicants should send a CV, letter of motivation (max 2 pages), and three letters of recommendation (or contact information for three references) via e-mail to --LOGIN--464ccd569ac506bef97490296e4c11b0gmail[dot]com . Review of applicants will begin immediately and will continue until the position is filled.
The NeuroSpin Research Center is located on the campus of the CEA-Saclay, near Orsay, about 18 km southwest of Paris. For more information on the NeuroSpin Research Center and the Cognitive Neuroimaging Group:
http://www-centre-saclay.cea.fr/fr/Visite-guidee-de-NeuroSpin
http://meg-france.in2p3.fr/_lesCentres/Neurospin_en.php
http://www.unicog.org/pm/pmwiki.php
- Postdoc position in Deep Learning for Drug Discovery at Bayer AG, Berlin (Germany). Received: 21/03/2017.
We are seeking a postdoctoral fellow to work in the area of Deep Learning for Drug Discovery in Germany, Berlin.
The ideal candidate should have profound expertise in developing and testing of Deep Learning architectures in vision or natural language processing, strong coding skills and being familiar with the usual DL frameworks.
For more details about the position and how to apply, see:
The project team, consisting of six postdoctoral fellows, will develop a deep learning platform to leverage data in computational chemistry, pharmacokinetics, toxicology and high-content imaging. The project will be supported by one of the top-notch academic groups in this area.
- Postdoctoral Positions in machine learning and artificial intelligence at University of Southern California (USA). Received: 21/03/2017.
The machine learning and artificial intelligence lab at the University of Southern California (USC), led by Fei Sha (http://www-bcf.usc.edu/~feisha) has multiple open positions for postdoctoral researchers. We seek applicants from all areas of machine learning and artificial intelligence (with a focus on computer vision, natural language processing and other emerging applications). The candidates must hold a PhD in computer science, statistics or a closely related discipline, and have a strong publication record in the very top conferences and journals in the areas of machine learning and artificial intelligence. The expected start date is July, but is also flexible.
The postdoctoral researcher is to interact and collaborate closely with both the faculty member and graduate students in the lab, which consists of about 10+ students (PhD, M.Sc. and undergraduates) and postdocs. While the lab has a rich set of ongoing research projects, the postdoctoral researchers are also encouraged to be independent and develop his/her own research agenda that complements existing research endeavors. The quality of the research is the ultimate criterion.
The lab is an integral part to the Computer Science Department at USC. The CS department is rapidly growing with core strengths in machine learning and artificial intelligence. For a list of faculty members and their research interests, please see https://www.cs.usc.edu/. USC has also established a machine learning center: http://mascle.usc.edu/, engaging many faculty members and students broadly from other departments including mathematics, statistics, electrical engineering, industrial system and engineering.
The campus is located in the center 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. USC is also in close proximity to many other renowned academic institutions such as Caltech and several UC campuses (UCLA, UCI, UCSD, UCR are within driving distances). The Southern California Machine Learning Symposium (http://dolcit.cms.caltech.edu/scmls/) has been held twice (Fall and Spring 2016) and the next one will occur at USC in Fall 2017.
Interested candidates should email Fei Sha (<feisha@usc.edu) with their CVs, one-page research statements and a list of reference letter writers.
- Postdoc and PhD position on Biological Deep Learning at University of Bern (Switzerland). Received: 21/03/2017, deadline: 07/04/2017.
A postdoc and PhD position devoted to the implementation of error-backpropagation-like algorithms by cortical microcircuits is available in our Computational Neuroscience lab at University of Bern, Switzerland.
The project theoretically explores how cortical pyramidal neurons with their dendrites and surrounding interneurons can be embedded into a local microcircuit to support error-correction learning. The cortical microcircuits are stacked to multi-layer recurrent networks to be used for deep learning. The goal is to find network architectures that can process ongoing streams of sensory inputs while feedback signaling and synaptic plasticity are continuously operating.
The project is part of a collaboration with Yoshua Bengio (University of Montreal) on deep learning and with Matthew Larkum (Humboldt University Berlin) on dendritic processing by cortical pyramidal neurons.
The research in the Senn lab is devoted to models of synaptic plasticity and dendritic integration in the context of learning and behavior. We have recently suggested to consider “Learning by the dendritic prediction of somatic spiking” (Neuron 2014) that assigns an intrinsic computational task to neurons and dendrites. This concept was extended to include dendritic nonlinearities that gives the dendritic tree the functionality of an error-backpropagating network (PLoS Comp Biol 2016, see also http://www.physio.unibe.ch/~senn/group/). These ideas will be extended to cortical microcircuits and deep learning.
Ideal candidates have a strong background in machine learning, computational neuroscience and applied mathematics. Please send CV, publication list, letter of motivation and addresses for 3 reference letters by April 7 to Walter Senn (--LOGIN--49f52638a75929cc1c25f5603758c859pyl[dot]unibe[dot]ch ) and Sabine Herzog (--LOGIN--dbba9318dce1bc580fb0f3429de2e9a3pyl[dot]unibe[dot]ch ).
- Contratos postdoctorales en tecnologías de la información y las comunicaciones en la Universidad de La Coruña (Spain). Received: 21/03/2017, deadline: 06/04/2017.
El Centro de Investigación en Tecnologías de la Información y de las Comunicaciones (CITIC) de la Universidad de La Coruña ofrece cuatro contratos postdoctorales con una duración de 30 meses en el ámbito de las tecnologías de la información y las comunicaciones. Los requerimientos básicos son:
- Estar en posesión del título de doctor. La fecha de defensa y aprobación de la tesis debe ser posterior al 1/1/2012.
- Haber realizado estancias internacionales durante al menos 6 meses en Centros de I+D distintos de aquél en el que realizó su tesis doctoral. El requisito de movilidad se considerará cumplido para aquellos investigadores que hayan cursado íntegramente y obtenido el título de doctor en una universidad extranjera.
Las características de los contratos son similares a las Juan de la Cierva-Formación, ofreciendo la posibilidad de impartir docencia.
Nótese que se debe elegir la línea 1 (“Arquitectura de Computadores y Computación de Altas Prestaciones”) para trabajar en dicha área.
Más información:
https://sede.udc.gal/services/electronic_board/EXP2017/000424
Plazo: 15 días hábiles desde la publicación de la convocatoria (16/3/2016)
Contacto: --LOGIN--c861e038dc333299b20c2b332d4d3191udc[dot]es
En caso de presentarse, agradeceríamos que los candidatos nos lo comunicasen.
- 3 years funding Phd in New insights into ADHD through behavioural and modelling studies at Birmingham City University (UK). Received: 20/03/2017, deadline: 28/04/2017.
Applications are invited for a 3-year PhD studentship within the Division 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:
There are many limitations on the behaviour of complex neural systems, but one primary constraint is to filter incoming input in order that actions can be programmed to behaviourally relevant stimuli. A major challenge for current-day researchers is to understand how (and why) these limitations arise, especially in conditions like attention deficit hyperactivity disorder (ADHD) where the attentional system is dysfunctional. The main aim of this project is to identify and understand the differences in visual attention between children diagnosed with ADHD and typically functioning children and the role of diet in this. This Ph.D. thesis aims to do this using a novel interdisciplinary approach, behavioural and computational modelling study. The PhD is in collaboration with Prof. John Clibbens and Dr Amy Cook.
The successful applicant will join the Centre for Applied Psychological Research (CAP Research) within the Department of Psychology at Birmingham City University. This centre is part of a vibrant and rapidly expanding research community, which offers applicants with an excellent opportunity to develop their research career. The applicant will have the opportunity to have teaching experience, to participate to research seminars and to co-supervise undergraduate projects.
For more information please contact Dr Eirini Mavritsaki (--LOGIN--9a53b52739f9b827234892e34d6ea853bcu[dot]ac[dot]uk ).
For application and interview dates please see below, Deadline of Application 28th of April.
Candidate Qualification and Specifications:
Essential
- The applicant should hold a good undergraduate honours degree (First or 2:1) in psychology or a related area to the topic.
- A demonstrated understanding of research methods is essential (as evidenced by degree transcript grades for research methods and dissertation modules).
- The applicant will be expected to undertake and pass Disclosure and Barring Service (DBS) checks.
- The applicant should enjoy working with children.
- Experience in C++ and/or Matlab.
Desirable
- A Masters’ degree in research methods, psychology or a computational modelling.
- Work experience (voluntary or paid) in schools or experience working with children.
- Access to a car and a valid driving licence.
- Computational modelling experience.
Application Process (Deadline of application 28th of April)
You can find further details on studying for a PhD and details of how to apply on the following link http://www.bcu.ac.uk/social-sciences/courses/research-degrees
Please feel free to contact us if you have any questions for the application and to express interest.
- 3 years funded PhD in oscillatory behaviour in Alzheimer's disease at Birmingham City University (UK). Received: 20/03/2017, deadline: 28/04/2017.
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 by 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. The University of Birmingham team have identified oscillatory changes that also predict progression to Alzheimer’s, opening up the possibility that an effective EEG-based early-stage biomarker of Alzheimer’s might be within reach. We plan to simulate this data and the changes observed in it using a computational model that is based on the sSoTS (Mavritsaki, Heinke, Humphreys and Deco, 2011) model.
The successful applicant will join the Centre for Applied Psychological Research (CAPresearch) within the Department of Psychology at Birmingham City University. CAPresearch 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 ).
For application please see below, deadline of application 28th of April.
Candidate Qualification and Specifications:
Essential
- The applicant should hold a good undergraduate honours degree (First or 2:1) in related area.
- The applicant should have experience of computational models, 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
Application Process (Deadline of application 28th of April)
You can find further details on studying for a PhD and details of how to apply on the following link http://www.bcu.ac.uk/social-sciences/courses/research-degrees
Please feel free to contact us if you have any questions for the application and to express interest.
- Deputy Director Post in artificial intelligence and machine learning at the University of Essex (UK). Received: 17/03/2017, closing date: 30/03/2017.
The University of Essex is currently advertising a Deputy Director post for the multidisciplinary and interdisciplinary Institute for Analytics and Data Science. We would welcome applications from an artificial intelligence and machine learning background.
For more information, please see here:
https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=689970BzNq&WVID=9918109NEm&LANG=USA
For further information please do not hesitate to contact Professor Maria Fasli --LOGIN--98b131f35fbafd1c16a0adda8efcd984essex[dot]ac[dot]uk .
- PhD position in Expression Recognition “in the wild” at University Lille 1 (France). Received: 16/03/2017.
The FOX research group (http://cristal.univ-lille1.fr/FOX) of CRSItAL laboratory (http://www.cristal.univ-lille.fr) (UMR CNRS 9189), France, is looking for a promising candidate to work on the field of Human Behavior Analysis from video under unconstrained settings.
The recognition and prediction of people behaviour from videos are major concerns in the field of computer vision. A specific class of behavior analysis concerning facial expression recognition attracts lot of attention from researchers and industry in various fields.
State of the art solutions work fine in controlled environments were expressions are exaggerated and the head of the subject stay still, but as soon as the subject moves freely and expressions are natural, the performances of existing systems drop in an important manner. This observation is confirmed by performance evaluation conducted on new datasets (such as RECOLA, GEMEP) where the acquisitions conditions are similar to natural interaction settings.
We look for a PHD candidate in order to study and propose algorithms that analyze human behavior from video in unconstrained environments.
http://sujets-these.lille.inria.fr/details.html?id=a1382de1c76647509ef9e25cc1fcf740
== Required expertise
Strong preference will be given to candidates with experience in Computer Vision and Pattern Recognition and a good knowledge of written and oral English. Background in motion analysis field would be appreciated.
Applicants are expected to have a strong background in Computer Science. Strong programming skills (C or C++) are a plus. French language skills are not required, English is mandatory.
The thesis shall start October 1st in Lille.
Applications must be sent by email to
Prof. Ch. Djeraba (--LOGIN--e955d76658dc817c9f965b15d73af20duniv-lille1[dot]fr ) and
IM Bilasco (--LOGIN--9f1ed0f7d5017528cb26e96540f75aeduniv-lille1[dot]fr
Subject: [Phd Position].
They must contain a statement of interest, a CV, a list of publications, if any, and the names of two references.
Please contact the Prof. Ch. Djeraba --LOGIN--e955d76658dc817c9f965b15d73af20duniv-lille1[dot]fr and IM Bilasco --LOGIN--9f1ed0f7d5017528cb26e96540f75aeduniv-lille1[dot]fr for more informations.
- Funded Ph.D. Positions at the Max Planck Institute for Intelligent Systems (Germany). Received: 12/03/2017, closing date: 17/04/2017.
The Max Planck Institute for Intelligent Systems and the Universities of Stuttgart and Tübingen are collaborating to offer a new interdisciplinary Ph.D. program, the International Max Planck Research School for Intelligent Systems. This new doctoral program is starting in fall 2017 and will enroll about 100 Ph.D. students over the next six years.
This school is a key element of Baden-Württemberg’s “Cyber Valley” initiative to accelerate basic research and commercial development in artificial intelligence. We seek students who want to earn a doctorate while contributing to world-leading research in areas such as
- Computer Vision
- Machine Learning
- Robotics
- Haptics
- Control Systems
- Perceptual Inference
- Computer Graphics
- Micro- and Nano-Robotics
The participating faculty are Frank Allgöwer, Matthias Bethge, Michael J. Black, Andrés Bruhn, Peer Fischer, Andreas Geiger, Philipp Hennig, Katherine J. Kuchenbecker, Hendrik Lensch, Georg Martius, Ludovic Righetti, Stefan Schaal, Bernhard Schölkopf, Metin Sitti, Alexander Spröwitz, Ingo Steinwart, Marc Toussaint, Ulrike von Luxburg, and Felix Wichmann.
Intelligent systems that can successfully perceive, act, and learn in complex environments hold great potential for aiding society. To advance human knowledge in this domain, we need doctoral students who are curious, creative, and passionate about research to join our school. Learn more at http://imprs.is.mpg.de
- All aspects of the program are in English.
- You may join our program in late summer or early fall 2017.
- You will be mentored by our internationally renowned faculty.
- You will register as a university graduate student and conduct research for approximately three years.
- You can take part in a wide variety of scientific seminars, advanced training workshops, and social activities.
- Your doctoral degree will be conferred when you successfully complete your Ph.D. project.
- Our dedicated coordinator will assist you throughout your time as a doctoral student.
People with a strong academic background and a master’s degree in Engineering, Computer Science, Cognitive Science, Mathematics, Control Theory, Neuroscience, Materials Science, Physics, or related fields should apply.
We seek to increase the number of women in areas where they are underrepresented, so we explicitly encourage women to apply. We are committed to employing more handicapped individuals and especially encourage them to apply. We are an equal opportunity employer and value diversity at our institutions.
Admission will be competitive. If selected, you will receive funding via an employment contract, subject to the rules of the Max Planck Society and the two participating universities.
You can apply at http://imprs.is.mpg.de before midnight PST on April 17, 2017.
- Postdoc Position in Software Defined Networking and Network Function Virtualisation at Waterford Institute of Technology (Ireland). Received: 10/03/2017, closing date: 24/03/2017.
The Telecommunications Software and Systems Group of Waterford Institute of Technology, Ireland are now seeking applications for a Post Doc position in the area of Software Defined Networking and Network Function Virtualisation. For details of the position, see the link below.
The Position will be funded as part of the Science Foundation Ireland Research Centre for Future Communications. As part of this, the Post Doc will have opportunities to work closely with a number of Industry partners such as CISCO, Intel, IBM, Ericsson and DellEMC.
Further Information at:
http://www.irishjobs.ie/Jobs/Postdoctoral-Researcher-Ref-No-018958-7988016.aspx
- Postdoc in reinforcement learning and decision making at Harvard University (USA). Received: 09/03/2017.
The Computational Cognitive Neuroscience Lab at Harvard University (PI: Sam Gershman) is seeking a postdoctoral fellow to work in the area of reinforcement learning and decision making. The start date is flexible. The position is for three years.
Requirements for this position are:
(1) Experience with fMRI and human behavioral experiments.
(2) A strong technical background in Bayesian and reinforcement learning models.
Interested applicants should e-mail --LOGIN--93ed0aa5c0778943418956a9b65e0e4afas[dot]harvard[dot]edu with a CV, statement of interest (not to exceed 2 pages), and any relevant publications.
For more information on the lab's research, please visit
http://gershmanlab.webfactional.com/
Harvard is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
- Research Associates in Custom Computing at Imperial College London (UK). Received: 09/03/2017, deadline: 06/04/2017.
Full time, Fixed Term Appointment until 31 August 2018, possibility for extension
Salary in the range: £36,070 - £43,350 per annum*
The Department of Computing is a leading department of Computer Science among UK Universities. Its research has consistently been ranked among the highest, and its teaching quality was rated as Excellent in a previous national assessment.
We are seeking to hire two Research Associates to work on research supported by the European Commission on Exploiting Exascale Technology with Reconfigurable Architectures (EXTRA), and on research supported by the EPSRC on Application Customisation: Enhancing Design Quality and Developer Productivity, and on Partially Ordered Event Triggered Systems (POETS). Further information of these projects can be found from: http://cc.doc.ic.ac.uk.
The successful candidates will join the Custom Computing Research Group, which has won many awards, working closely with many UK and international academic and industrial partners. Various advanced FPGA systems and design tools are available for developing experimental prototypes.
You must have a PhD degree (or equivalent) in an area pertinent to the research subjects, such as Computer Science or Electrical and Electronic Engineering. Additionally, you should have the ability to write, optimise and verify complex and efficient computer programes and/or hardware designs in suitable languages such as Matlab, C, MaxJ, VHDL or Verilog.
Applicants should have extensive research experience in one or more of the following areas: FPGA design and implementation, particularly involving systems from Maxeler Technologies; high-level design methods and tools, such as domain-specific compilation and aspect-oriented programming; applications and development techniques involving machine learning, genomic data analysis, climate modelling or event-triggered systems; optimisation methods such as those involving mixed-precision representations and run-time reconfiguration; FPGA debugging and performance monitoring techniques; verification methods for software and hardware designs.
You must have excellent communication skills and be able to organise your own work with minimal supervision, and to prioritise work to meet deadlines. Applicants will be expected to have a proven research record with strong publications in relevant areas. All applicants must be fluent in English.
Successful candidates will become a member of the Custom Computing Research Group, within the Department of Computing based at the South Kensington campus.
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £31,740 - £33,370 per annum.
How to apply:
Our preferred method of application is online via our website at: http://www3.imperial.ac.uk/employment (please select “job search” then enter the job title or vacancy reference number into “keywords”). Please complete and upload an application form as directed.
Applications must include:
- A college application form quoting job reference number EN20170060LE on the form
- A full CV
- A 2 page research statement indicating what you see are interesting research issues relating to the above posts and why your expertise is relevant.
Should you have any queries regarding the application process contact Georgina Tennant by email to: --LOGIN--eddfdda8f7375f313dbb61f4945bad3aimperial[dot]ac[dot]uk
Closing Date: 6 April 2017 (midnight GMT)
Committed to equality and valuing diversity. We are also an Athena Bronze SWAN Award winner, a Stonewall Diversity Champion and a Two Ticks Employer, and are working in partnership with GIRES to promote respect for trans people.
http://www.jobs.ac.uk/job/AXU828/two-research-associates-in-custom-computing
- Researcher in Machine Learning and Natural Language Processing at the Saarland University, Saarbrücken (Germany). Received: 08/03/2017, deadline: 31/03/2017.
Researcher in Machine Learning and Natural Language Processing, DFKI, German Research Center for Artificial Intelligence, Germany
The Multilingual Technologies (MLT) Lab at DFKI is looking to expand its expertise in Machine Learning with a focus on Deep Learning, Machine Translation and possibly other areas of NLP. Depending on experience, the position is available at the Junior/Researcher/Senior/Principal Researcher level.
Key research responsibilities include:
- machine and deep learning for natural language processing/machine translation
- software development and integration
- publication in top-tier conferences and journals
General responsibilities include:
- engagement with industry partners and contract research
- identification of funding opportunities and engagement in proposal writing
- contribution to teaching and supervision in accordance with University and DFKI rules and regulations
- administrative work associated with programmes of research
Requirements:
- MSc/PhD in computer science, machine learning, natural language processing, computational linguistics or similar
- Strong background and track record in machine learning, neural nets and deep learning
- Strong background and track record in NLP and MT
- Excellent programming skills
- Excellent problem solving skills, independent and creative thinking
- Excellent team working and communication skills
- Excellent command of written and oral English
- Command of German and other languages not a requirement but helpful
The successful applicant will work in the DFKI MLT lab led by Prof. Josef van Genabith (Scientific Director MLT, DFKI, and Chair of Translation-Oriented Language Technologies, Saarland University).
Working environment:
DFKI is one of the largest AI research institutes worldwide, with several sites in Germany, covering basic research and applications. DFKI is a not-for-profit company with more than 500 researchers from 60+ countries across the globe. DFKI is based on a shareholder model including globally operating companies such as Intel, Google, Microsoft, Nuance, SAP, BMW, VW, Bosch, Deutsche Telekom, several SMEs, three German universities and three German Federal States.
The DFKI Multilingual Technologies lab partners in international, national and industry funded research projects in all areas of Language Technologies (including machine translation, question answering, information extraction, human-robot communication, speech and the multi-lingual web). The MLT lab currently leads the H2020 European Research project QT21 (http://www.qt21.eu/ ) on MT, the EU CEF funded ELRC project (http://lr-coordination.eu/ ) and the EU funded TRADR project on human-robot collaboration in disaster scenarios (http://www.tradr-project.eu/ ).
The MLT lab is part of the DFKI site at the Saarland University campus in Saarbrücken, Germany. Saarland University has exceptionally strong Computer Science and Computational Linguistics departments, two Max Plank Institutes in Computer Science, an Excellence Cluster in Multimodal Computing and Interaction (http://www.mmci.uni-saarland.de/en/start) and several International Doctoral and Master programmes in Computer Science and Computational Linguistics. DFKI staff regularly engage in teaching and supervision at Saarland University.
Geographical environment:
Saarbrücken (http://www.saarbruecken.de/en) is the capital of Saarland with approximately 190,000 inhabitants. It is located right in the heart of Europe and is the cultural center of this border region of Germany, France and Luxembourg. Some of the closest larger cities are Trier, Nancy, Mannheim, Karlsruhe and Frankfurt. Paris can be reached by train in just under 2 hours. Living costs are modest in comparison with other large cities in Germany and elsewhere in Europe.
Starting date, duration, salary:
Preferred starting date is May/June 2017. The position is available until June 30, 2020, with opportunities for extension depending on performance and future funding. Compensation is competitive and reflects individual competence, seniority and special skills.
Application:
Applications are required to include a short cover letter, a CV, list of publications, a brief summary of research interests, and contact information for three references. Please send your electronic application (preferably in PDF format) to --LOGIN--63e6d868915f9a0e5bde2806c2e7f1e7dfki[dot]de referring to job opening no. “22/17-JvG”. Deadline for applications is March 31st, 2017. The position remains open until filled. Please contact --LOGIN--0682e382016ce8b06f61e27a3cce7c7ddfki[dot]de for informal inquiries.
- Postdoctoral research associate in machine learning at the Romanian Institute of Science and Technology in Cluj, Transylvania (Romania). Received: 08/03/2017.
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, probabilistic 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 offered for an initial period of 3 years, at the Romanian Institute of Science and Technology (RIST) in Cluj, Transylvania, 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 are being hired in 2017.
We are looking for self-motivated, independent, creative scientists, with strong analytical and computational modeling skills. Candidates should have a PhD in machine learning, computational neuroscience, physics, applied mathematics, robotics, cognitive science, theoretical computer science, engineering or related fields, and a strong publication record.
To apply, please send to --LOGIN--ab1570e2cb444cde32b93f4f63786203rist[dot]ro your CV (indicating your 3 most representative publications), a letter of intent, as well as the names and contact details of at least two references.
The contract will start as soon as the position is filled. Net salary is about 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.
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 2016.
More information: http://rist.ro/job-a1
- Junior Application Engineer Power Distribution & Heating at Infineon Technologies AG, Munich (Germany). Received: 08/03/2017.
Titulación preferida: Ing. De Telecomunicación o Ing. Electrónico.
Job Description: Junior Application Engineer Power Distribution & Heating
Company: Infineon Technologies AG
Location: Munich
Start date: 01.04.2017
Type of contract: Full time
Permanent: yes
Description:
• Design-In to Design-Win process
• Preparation of technical presentations for customers
• Benchmarking as well as analysis of competitors products including datasheet interpretation and measurements
• Collect product and application requirements as well as compilation of technical documents
• Support from R&D and product marketing
• Support on measurements and results evaluation
Requisites:
• Bachelor in Electronics, Physics or similar
• Experience in semiconductors, power electronics and automotive field is desirable but not a must
• Grasp for a favorable communication with internal and external customers
• Willingness to travel having regular visits to customers and design centers enabling a good insight in business
• Excellent skills in English and good skills in German language are desired
Contacto: Interesados enviar CV a Álvaro Ladrón de Guevara:
--LOGIN--6ed6f46f8ffe8a0961dd29052611d7c5infineon[dot]com
- Internship position on Prototyping 5G waveforms for reliable vehicular communications at VEDECOM, Versailles (France). Received: 07/03/2017.
An Internship position is now open at VEDECOM, Versailles France on Prototyping 5G waveforms for reliable vehicular communications
Introduction:
Nowadays, the security of autonomous vehicles is one of the most important issues facing automotive industries and researchers. Wireless Vehicular Adhoc NETworks (VANETs) allow cars to exchange information about their perception of the surrounding environment and their present position, speed, direction, etc, so that cars can cooperate in order to construct a Local Dynamic Map. In this way, potentially dangerous situations can be avoided. For example, the recent crash of a Tesla car would have been avoided if the involved vehicles had exchanged the appropriate information.
The IEEE 802.11p protocol (and its European version called ITS-G5) [1] has been specified for VANETs. It defines the MAC and Physical layers of VANETs operating in the 5.9 GHz band. Five and seven channels of 10 MHz each have been allocated to VANETs in Europe and the U.S. respectively. The ECC [2] reports that 802.11p transmissions produce non-negligible spurious emissions on adjacent channels, particularly when the two channels adjacent to a given channel are simultaneously used by network’s nodes. This limits the usage of multiple adjacent channels in available Commercial on the Shelf (COTS) hardware. The tools: Software Defined Radio (SDR) is a growing technology in industry and research. It defines software chains or flow graphs models for wireless transmission and reception chains, i.e. connected signal and data processing blocks. Flow graphs define processing steps from packet construction to baseband waveform generation and vice versa. The GNU Radio toolkit and USRP (Universal Software Radio Peripheral) are an open-source SDR with numerous possibilities. An implementation of the IEEE 802.11p has been performed on GNU Radio [5]. It has been tested and found interoperable with hardware receiver. CAM frames of the IEEE 802. 11p are received using the GNU Radio’s flow graphs. This SDR should be also functional in transmission, but it has not been tested yet. Summarizing, the hardware and software tools to be used during the intership are:
- GNU Radio toolkit, MATLAB
- USRP boards from Ettus Research
- COTS boards with IEEE 802.11p transceivers
The target:
Our objective is to propose an efficient waveform and modulation technique in order to effectively exploit those channels that are interfered by spurious emissions from adjacent channels, as well as the white spaces. Several waveforms and modulation techniques such as, e.g., Filter Bank Multicarrier Carrier (FBMC), that have been proposed among the candidate technologies for future 5th Generation (5G) networks show a better containment of subcarriers and allow to reduce spurious emissions. Two objectives are fixed in this internship. Firstly, the candidate performs a reverse engineering of the existing GNU Radio implementation. According to this objective, interoperability tests have to be performed between hardware transceivers and SDRs. Different benchmark tests can be established to find other limits of hardware/software transceivers. Secondly, the candidate should implement the FBMC radio access technique and integrate it to the GNU Radio toolkit. The objective is to reuse this block with IEEE 802.11p SDR transceiver.
Keywords:
V2X communications, IEEE 802.11p, Software Defined Radio, FBMC,
Steps/main tasks to be accomplished:
- Explore the GNU Radio open source toolkit throughout a reverse engineering of IEEE 802.11p SDR's implementations.
· Measure spurious emission “Adjacent Channel Leakage ratio (ACLR)” [6] between two adjacent channels using SDR receiver and Hardware transmitter.
· Test the SDR transmitter with COTS hardware receiver.
- Implement the Filter Bank Multi Carrier on GNU Radio toolkit. It is already done on MATLAB.
- Integrate the FBMC to SDR IEEE 802.11p transceiver and measure the impact of its application.
Contact :
--LOGIN--3cb540f78b782ce05332a935dc0a3528vedecom[dot]fr
--LOGIN--63c3fe98e144646d67240112de4c66b5vedecom[dot]fr
VEDECOM was created in February 2014 and is an Institute for Energy Transition (ITE) established as part of the French government’s ‘Investment for the future plan’ (Programme d’Investissements d’Avenir or PIA). The Institute is dedicated to individual, carbon-free and sustainable mobility. It comes under the ‘Autonomous vehicle plan’ and was recently added to ‘Ecomobility’, one of nine ‘solutions for future industry’ that form part of a government scheme called ‘Nouvelle France Industrielle’, designed to reinvigorate the country’s industry. With the backing of its founders and of the Mov’eo competitive cluster since 2010, VEDECOM is a partnership-based foundation belonging to Versailles Saint Quentinen-Yvelines University. The Institute’s 40 members include firms in the automotive and aviation sectors, mobility ecosystem infrastructure and service operators, academic research bodies and Ile-de-France local authorities, all working together in a pioneering manner.
- Two Assistant Professor Positions in Information Security at the University of London (UK). Received: 07/03/2017, deadline: 09/04/2017.
The Information Security Group (ISG) at Royal Holloway, University of London, is seeking to appoint one tenure-track Assistant Professorship and one Teaching-focused Assistant Professorship in Information Security.
For the tenure-track position, we invite applications from researchers whose interests are related to, or complement, current strengths of the ISG. We are particularly interested in applicants with outstanding research achievements and/or potential in relevant information/cyber security areas.
Applicants should have a Ph.D. in a relevant subject or equivalent, be a self-motivated researcher, and have a strong publication record. Applicants should be able to demonstrate an enthusiasm for teaching and communicating with diverse audiences, as well as show an awareness of contemporary issues relating to cyber security.
The teaching-focused position is open to candidates who'd wish to contribute to the creation and/or revision, delivery and assessment of postgraduate (MSc) and undergraduate teaching modules across a wide range of topics in the field of information/cyber security.
Applicants should have a Ph.D. in a relevant subject or equivalent and have a sound knowledge of information/cyber security. Applicants should be able to demonstrate an enthusiasm for teaching and communicating with diverse audiences, as well as show an awareness of contemporary issues relating to cyber security.
Applications deadline is Apr 9, 2017 and starting date Sep 18, 2017 (negotiable).
Further information is available at:
- https://jobs.royalholloway.ac.uk/vacancy.aspx?ref=0217-090
(Tenure-track research-focused)
- https://jobs.royalholloway.ac.uk/vacancy.aspx?ref=0217-089
(Teaching-focused)
For an informal discussion about the posts, please contact Prof. Keith Mayes on --LOGIN--f450c446431fb9e6b172390139a25689rhul[dot]ac[dot]uk .
The Human Resources Department can be contacted with queries by email at: --LOGIN--96fd5c4094c362d8056506f12ba593b6rhul[dot]ac[dot]uk .
- Postdoc position on Data analytics for cybersecurity at Inria Nancy Grand Est (France). Received: 06/03/2017, deadline: 30/04/2017.
A postdoctoral position is now open at Inria Nancy Grand Est, France on Data analytics for cybersecurity:
- Contacts:
Jérôme François (--LOGIN--8ea26bb4fddd22d17925bbedc1e00907inria[dot]fr ),
Isabelle Chrisment (--LOGIN--7b3e551b32fc9be182d90360a7dfdc15inria[dot]fr )
- Scientific Context:
The huge growth of Internet exposes many users to various threats. This has been intensified by the large deployment of new devices in addition to traditional computers. This includes smartphones and sensors, and will concern daily life objects in a near future with the emergence of the Internet of Things (IoT) the last years. Hence, this represents a tremendous playground for attackers. To fight them, network security is essential to identify misbehaviors and potential victims as earlier as possible.
Since attackers evolve from individuals towards organized cyber-criminal organizations while meantime the attacks being more distributed and complex. For example, the botnets [2] are still a major threat on Internet, where thousands of zombie machines can take part, because they have been successfully adapted from a centralized model based on IRC towards distributed approach, even P2P, taking advantage of traditional protocol (DNS for fast fluxing) and new technologies (social networks for synchronization). In parallel, they are responsible of various attacks including spam, denial of service, credential stealing... Therefore fighting such a threat among others require to collect, analyze and correlate various sources of data to create summarized view that are exploitable by human administrator and, if possible, in real time and in an automated way. This is the current challenge of the network security monitoring [6]. Currently, most of attacks remains unrevealed, but when they are suspected, it is vital to investigate it to confirm, to trace the root causes and attackers. The forensics security teams have very few tools which let them performing analysis mainly manual which introduces two bias: long delay (from few hours to several months) and human bias due to background and experiences.
In parallel, data-analytics methods have skyrocketed recently and are able to cope with huge volumes of unstructured data and so are good candidates for being adapted and applied to security monitoring challenges by allowing collecting and analyzing multiple sources of relevant data while current approaches focuses on few ones or on simple correlation of several ones.
- Missions :
The objective of the post-doctorate is to contribute to investigation of complex attacks by modeling acquired data and leveraging artificial intelligence techniques. To achieve that, it will be necessary :
· analyze current threats to define data and features being primordial for an efficient monitoring. This will allow then to design data models which are able to handle heterogeneous and multi-dimensionnal data.
· define methods based on data-analytics to identify anomalies based on these data models. This will consider statistical analysis, stochastic modeling (such as Hidden Markov Models) graph analysis and machine learning approaches (Topological Data Analysis, topic modeling). Some of these methods are already prototype and will require further development
· define methods for interactive and visual investigation of multiple sources of security data. This will consider similar methods that those under the second item but with a hard constraint on the reactivity and the limited quantity of information which can be dealt simultaneously by a human. Hence, these methods may rely on streaming analytics approaches, learning approaches to predict the next requests of the analysts to prepare the results, combining and selecting information.
· validate the proposed methods on different scenarios
In addition to these scientific tasks, the role of post-doctorate is also to implement proof-of-concepts of those define methods and interact with and report to other partners in the project to ensure a proper integration in a global platform (common at all partners in the projects)
This work will be achieved in the context of the first French high security academic research laboratory in Nancy (LHS – High Security Laboratory) which provides powerful tools and support for collecting and analyzing dataset in a realistic environment and in the context of the HuMa project funded under the FUI programme (Fond Unique Interministériel) with major French industrial players in cyber-security.
- Postdoc and research fellow positions in machine learning at Aalto University and University of Helsinki (Finland). Received: 05/03/2017, deadline: 19/03/2017.
We are recruiting postdocs and research fellows in probabilistic machine learning, and computational inference more generally, with and without applications in user interaction, precision medicine, and data-driven healthcare. DL is already March 19.
More details below and in the broader call at
http://www.hiit.fi/several-postdoctoral-researcher-and-research-fellow-positions-ict-helsinki-finland
Several Postdoctoral Researcher and Research Fellow Positions in ICT (Helsinki, Finland)
Aalto University and University of Helsinki, the two leading universities in Finland within computer science and information technology, are looking for excellent researchers in several areas of ICT.Positions are available in the following areas:
1. HIIT Research Programme on Computational Inference programme (COIN), Professors Samuel Kaski, Jukka Corander, Petri Myllymäki, Antti Oulasvirta, Matti Pirinen, Aki Vehtari
2. Foundations of Computational Health, Juho Rousu, Aristides Gionis, Keijo Heljanko, Jari Saramäki (Aalto University), Tero Aittokallio, Ville Mustonen (University of Helsinki). NB! Up to 4 positions available.
3. HIIT Research Programme on Building Trust in Secure Computing Systems (BURST), Professors Tuomas Aura, N. Asokan, Valtteri Niemi, Stavros Tripakis, Sasu Tarkoma
4. HIIT Research Programme on Augmented Research (AR), Professors Giulio Jacucci, Samuel Kaski, Petri Myllymäki, Aristides Gionis, Sasu Tarkoma, Niklas Ravaja
5. High-throughput bioinformatics and epigenomics, Prof. Harri Lähdesmäki
6. Solver Technology for Answer-set Programming, Professor Ilkka Niemelä and Dr. Tomi Janhunen Department of Computer Science, Aalto University
7. Machine Learning and Adaptive User Interfaces, Professor Antti Oulasvirta, Department of Communications and Networking, Aalto University; Professor Jukka Corander, Department of Mathematics and Statistics, University of Helsinki; Professor Samuel Kaski, Department of Computer Science & Helsinki Institute of Information Technology HIIT, Aalto University
8. Probabilistic Machine Learning, Professor Samuel Kaski, Helsinki Institute for Information Technology HIIT, Aalto University and University of Helsinki
9. Probabilistic machine learning for precision medicine and data-driven healthcare, Professor Samuel Kaski, Helsinki Institute for Information Technology HIIT, Aalto University and University of Helsinki
10. Internet of Things, Mario Di Francesco, Department of Computer Science, Aalto University
11. New language modeling methods for video subtitling and foreign language learning, Mikko Kurimo, Aalto University, Department of Signal Processing and Acoustics
For the full call text and information about the application process, please visit http://www.hiit.fi/several-postdoctoral-researcher-and-research-fellow-positions-ict-helsinki-finland.
The deadline for the call is March 19, 2017 Finnish time.
- Postdoctoral Position in Physically Inspired Machine Learning at UC San Diego (USA). Received: 02/03/2017.
Because real-world environments are too complex to be effectively understood and captured by present day engineering models, current technologies are largely incapable of interacting with the real-world without substantial human assistance. Preferably, technologies would evolve solutions to high-level tasks that are easily communicated by humans, but the concept of generic “machine evolution” is largely unexplored.
In this post-doctoral position, the researcher will develop physically-inspired machine learning algorithms for systems (e.g. robots) interacting with a physical environment. Such algorithms should, for example, incorporate online, unsupervised learning of multiscale spatio-temporal structure and emphasize “learning the physics of / physical interaction with” real world environments.
The goals are developing a unified conceptual understanding grounded in physics and demonstrating key concepts in simulation.
Applicants should have a strong background in statistical physics, thermodynamics and dynamical systems as well as expertise in computing and machine learning.
The position reports to Prof. Todd Hylton, is located within the Contextual Robotics Institute at UC San Diego, and will interact with other researchers and faculty working in robotics, machine learning and neuromorphic computing.
Please send your CV and a short statement of interest to
--LOGIN--9644f17a002015421e43f0df75911874eng[dot]ucsd[dot]edu .
- Two research fellow positions in deep brain stimulation at the University of Melbourne (Australia). Received: 02/03/2017, closing date: 12/03/2017.
Exciting med-tech opportunity at the interface between academia and industry. We are seeking talented research scientists to join a team conducting a clinical trial of a fully implantable system for seizure forecasting and control with epilepsy patients. Requires experience in electrophysiology and neural signal analysis.
There are two Research Fellow positions available in our epilepsy research group for a new NHMRC research project titled Critical Slowing in Epilepsy. The research will quantify how the brain changes around times where it is susceptible to seizures. Seizure susceptibility will be studied using a new deep brain stimulation and recording system in a first in man clinical trial in partnership with the medical device company, Medtronic. There are also opportunities to study seizure susceptibility using the one-of-a-kind long-term continuous intracranial electroencephalography database obtained from the clinical trial of the Neurovista Seizure Advisory System.
At least one of the Research Fellows will be involved in all aspects of the Medtronic trial, from testing with patients to data analysis and reporting. Testing will involve measuring the interaction between the brain's response to very small electrical stimuli and epilepsy-related changes.
Close date: 12 Mar 2017
Contact both Dr Levin Kuhlmann (--LOGIN--216ba445f0d13fea9bfda5e181f909dfunimelb[dot]edu[dot]au ) and Dr Dean Freestone (--LOGIN--8d0d934e50cc204b306764f92b29bb8dunimelb[dot]edu[dot]au ) for details. For a position description, selection criteria and to apply visit:
- Postdoc position in Computational Neuroscience at INRA Versailles and Ecole Normale Supérieure, Paris (France). Received: 01/03/2017.
Job Offer: A postdoctoral position in computational neuroscience is available to analyze and model the spiking response of olfactory receptor neurons to odorant stimuli. The project is in collaboration with the experimental research group of Philippe Lucas at INRA Versailles (http://ieesparis.ufr918.upmc.fr/spip.php?article244&lang=en) and Jürgen Reingruber at Ecole Normale Supérieure in Paris (http://www.biologie.ens.fr/~reingrub/index.html).
Duration: 2 years.
Location: Shared between INRA Center in Versailles and Ecole Normale Supérieure in Paris.
Project description: Binding of odorants to their cognate receptors on olfactory receptor neurons (ORNs) initiates a signal transduction cascade that leads to the opening of both cationic and anionic ion channels in the dendritic membrane. The subsequent transduction current entails a sequence of action potentials in the soma. The overall goal of the project is to analyze electrophysiological recordings of action potentials obtained in the lab of Philippe Lucas (from moths and Drosophila), and, using a molecular model for the transduction current developed by Jürgen Reingruber, to derive a Hodgkin‐Huxley type of model that explains how the stimulus dependent transduction current is transformed into a sequence of action potential firings. Ultimately, this will unravel how an ORN encodes the intensitive and temporal properties of odorant stimuli into sequences of action potentials transmitted to subsequent neuronal layers.
Application and starting date: INRA provides basic funding for the project. However, to ensure a high quality, INRA additionally requires that candidates successfully apply for an AgreenSkills+ incoming fellowship (https://www.agreenskills.eu/), an international postdoctoral fellowship program co‐funded by the European Union and coordinated by INRA. During the past years the application success rate was around 36%. With the fellowship the postdoc will be endowed with exceptional financial conditions including monthly gross salaries ranging from 3,500 to 4,800 €. In addition, successful candidates are given a promising chance to apply for a permanent INRA position after the postdoc. The next call for AgreenSkills+ submissions is 28 April 2017. Subsequent starting date is flexible.
Candidate Profile: We are looking for a highly motivated post‐doc with interest in sensory transduction and computational neuroscience. Applicants should have solid foundations in physics, applied mathematics and computer simulations. A background in neuroscience would be welcome. Furthermore, the candidate should be interested in working in an interdisciplinary environment, analyzing electrophysiological data and interacting with experimentalists. Excellent written, verbal, and interpersonal skills are desired. Speaking French is not mandatory.
Interested candidates should send a cover letter summarizing their expertise and research interests, a CV with publications and 2 recommendation letters to Philippe Lucas (--LOGIN--ff222fc4e8a09954cfb60790f15e0139inra[dot]fr ) and Jürgen Reingruber (--LOGIN--3eb08f69e74b77e2ecd533d81c025091ens[dot]fr ).
- Postdoctoral Position in Mathematical Neuroscience at the University of Pittsburgh (USA). Received: 01/03/2017.
Applications are invited for a postdoctoral position in the Department of Mathematics at the University of Pittsburgh, funded in part by the U.S. National Science Foundation.
The successful candidate will work with Professor Jonathan Rubin and other collaborators on the mathematical and computational analysis of issues relating to activity patterns in the basal ganglia, particularly under parkinsonian conditions, will teach one course per year, and will interact with other members of the Mathematical Biology Group and the Center for Neuroscience at the University of Pittsburgh. There will be opportunities to consider other areas of mathematical neuroscience and to engage in some direct neural data analysis as well.
The position is funded for at least 2.5 years, with an initial one-year appointment and an expectation of extension, given satisfactory performance. Applicants with a PhD in Mathematics, Applied Mathematics, Computational Neuroscience, or a related discipline that includes training in dynamical systems should send a CV including a list of publications, a research statement, and reference contact information to --LOGIN--fecb2ffea46d6ba7e6d919fc35ab4993pitt[dot]edu .
The start date is flexible and applications will be considered on a rolling basis until the position is filled.
The University of Pittsburgh is an Affirmative Action, Equal Opportunity Employer, and women and members of minority groups under-represented in academia are especially encouraged to apply.
- Postdoc position in computational cognitive neuroscience at Max Planck Institute in Berlin (Germany). Received: 28/02/2017, deadline: 15/04/2017.
The Max Planck Research Group NeuroCode, under the direction of Nicolas Schuck, seeks applicants for one postdoctoral researcher.
The lab studies the neural and computational basis of learning, memory and decision making in humans using fMRI, behavioral and computational techniques and is part of the Max Planck Institute for Human Development in Berlin, Germany.
The position will last for up to 3 years and is available from October 2017 onwards, but later start dates are possible.
The successful candidate will focus on studying the neural representations underlying decision making and learning. Applicants need to hold (or expect to hold by September 2017) a doctorate in Psychology, Neuroscience, Computer Science or related disciplines, and should have experience with using behavioral, functional neuroimaging, computational, advanced statistical and/or machine learning methods to study the neural basis of learning and decision making. Expertise with any one of these methodologies is desirable but not required. In addition, the ability to work independently and high proficiency of the English language are essential.
For further inquiries about the position, please contact Dr. Nicolas Schuck (nschuck@princeton.edu>). The official job posting can be found at https://www.mpib-berlin.mpg.de/sites/default/files/download/jobs/07-2017_stellenanzeige_mpfg_neurocode-i-e_0.pdf
The Max Planck Institute for Human Development (www.mpib-berlin.mpg.de) offers excellent infrastructure including a research dedicated fMRI scanner as well as support staff and equipment for conducting experiments (e.g., behavioral laboratory, fMRI, EEG, Eye-tracking). It provides an international research environment, with English being the working language.
All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation or disability status. The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals.
Furthermore, the Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply.
Applicants should submit a cover letter describing research interests, a curriculum vitae, one or two representative papers (published), and two letters of recommendation.
Please send all materials preferentially as a single PDF file to --LOGIN--c898048c1ee7298adf020411e5e694d3princeton[dot]edu . Applications for the positions should be submitted by April 15th, 2017, to ensure consideration. However, review of applications will continue until the available positions are filled.
- Postdoctoral position in modeling dendritic morphology and growth at the Okinawa Institute of Science and Technology Graduate University (Japan). Received: 27/02/2017.
A postdoctoral researcher position is available in the Computational Neuroscience Unit of Prof. Erik De Schutter at the Okinawa Institute of Science and Technology Graduate University, Japan.
The project studies morphology and growth of neuronal dendrites in the olivocerebellar system from the perspective of neuron populations and considers the relations between neighboring dendrites explicitly. We are looking for a postdoctoral researcher with a computational neuroscience or computer science background to model neural morphology and expand necessary software. Experience in modeling neurons with dendrites or in modeling growth in other systems is required.
Successful candidates will collaborate with scientists at OIST in addition to the daily interaction with other researchers and students in the lab who are working on cerebellar modeling projects, analyzing cerebellar recordings or developing software.
We offer attractive financial and working conditions in an English language graduate university that emphasizes interdisciplinary research, located on the beautiful subtropical island of Okinawa. Send curriculum vitae, a summary of research interests and experience, and the names of three referees to Prof. Erik De Schutter at --LOGIN--f4b0aab6969b8358294e58910e60ad3aoist[dot]jp
- One Postdoc and five PhD student positions in mobile communications networks and services at the University of Coimbra (Portugal). Received: 27/02/2017.
The Center for Informatics and Systems of the University of Coimbra (CISUC), Coimbra, Portugal, is looking for candidates for one Posdoc position and five researchers for the MobiWise project. We are looking for self-motivated and committed candidates with a strong background in computer science.
The MobiWise project aims to enhance mobility in the cities, for commuters and for tourists, through the development of a 5G platform that includes an access infrastructure, sensors, vehicles and people. The project will use all possible information to improve the user mobility experience, through a complete network and services platform for a cloud based Internet of Things real deployment in a smart city.
Within the scope of MobiWise we are looking forward for highly motivated researchers with a strong expertise in the area of mobile communications networks and services. Applicants are sought with skills and interests in any of the following areas:
- Internet of Things
- Software Defined Networking
- Cloud Computing Frameworks, with focus on IaaS and PaaS
- Security and Privacy
- Dependability
- Information Systems
- Multi-objective optimization
- Meta-heuristics
Inquiries should be sent to Marilia Curado (--LOGIN--f81a5cd2b43897e47ff0b9f917a500fedei[dot]uc[dot]pt ).
- PhD and Postdoc in autonomous learning and developmental robotics at Max Planck Institute for Intelligent Systems, Tübingen (Germany). Received: 24/02/2017, deadline: 18/03/2017.
Open positions for PhD Students and Postdocs in
Autonomous Learning Group
with Dr. Georg Martius
Max Planck Institute for Intelligent Systems, Tübingen, Germany
Details: http://georg.playfulmachines.com/#section-182
*Institute:*
Max Planck Institute for Intelligent Systems, Tübingen http://is.tuebingen.mpg.de
The Max Planck Institutes are world class research institutions.
The goal of the Institute for Intelligent Systems is to understand the principles of perception, learning and action in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems.
*Research group and topics:*
New research group with focus on autonomous learning and developmental robotics, led by *Georg Martius*, see http://georg.playfulmachines.com *We develop new algorithms and theory for making robots curious and to give them the ability to autonomously learn how to act.* We apply our methods to *real robots, in particular, soft and tendon driven systems which we partly build in the lab*.
Research topics include and combine reinforcement learning, information theory, self-organization, dynamical systems, deep learning, and also soft robotics, mechanical engineering and 3D printing.
We largely work with and Python, C++ and Mathematica.
*Time and funding:*
The positions are available from May 2017. The appointment for PhD students will be for three years and for Post-docs for one or two years and can then be extended if needed. Fully funded with competitive salary and full social security.
*Requirements:*
Candidates should have an education in computer science, physics, mathematics, electrical engineering or any related field. Required are strong mathematical and programming skills as well as the ability to communicate and work well in a team.
*Application details and instructions:*
http://georg.playfulmachines.com/#section-182
The Max-Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. Furthermore, we seeks to increase the number of women and therefore explicitly encourages women to apply.
*Deadline:*
Official deadline is March 18., but later applications might still be considered.
- Research position available in ENergy Efficient Adaptive Computing at Bristol University (UK). Received: 23/02/2017, deadline: 12/03/2017.
This post is being re-advertised because the selected candidate is no longer available. Deadline for applications is on the 12th of March.
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
- Assistant Professor in Statistics and Optimisation at Trinity College Dublin (Ireland). Received: 23/02/2017, closing date: 23/03/2017.
The School of Computer Science and Statistics at Trinity College Dublin, Ireland, is recruiting to fill an Assistant Prof position - this is a permanent position (not tenure track).
The School of Computer Science and Statistics at Trinity College Dublin is seeking to appoint an Assistant Professor in Statistics and Optimisation. The successful candidate will be an outstanding researcher who can demonstrate an excellent international research track record and the potential to become a research leader. A strong commitment to research excellence, developing research partnerships, and the ability to establish a dynamic, high impact, world-class research programme are essential. Exceptional candidates in all areas of statistics and optimisation will be considered. Applications are particularly encouraged from candidates working in areas that complement existing activity such as complex data modelling, statistical computation, Bayesian methods, stochastic optimisation, decision theory, risk and reliability. The post holder will join a vibrant School, top ranked in Ireland, and have the opportunity to be affiliated with the Insight Research Centre for Data Analytics.
Details of the post may be found at jobs.tcd.ie (a search with the keyword “statistics” will find the job description). Applications must be made through jobs.tcd.ie by 23rd March 2017.
Please contact Professor Simon Wilson at --LOGIN--1851550a86f4ada973e97cc07d93da14tcd[dot]ie if you have any questions about the post.
- PhD Student Position in Parallel Computing at Tampere University of Technology (Finland). Received: 22/02/2017, deadline: 12/03/2017.
Description:
The Design Methodologies for Efficient Stream Processing research team of the Laboratory of Pervasive Computing, Tampere University of Technology, Finland, is looking for an excellent PhD student in the area of parallel and concurrent computing. Depending on the student’s experience and interests, the student will start working e.g. in one of the following fields:
- Dataflow models of computation
- Analysis, transformation and optimizations of high-level program descriptions
- Code generation for heterogeneous platforms
Requirements:
The research topics require either 1) excellent programming skills and comprehension (or interest) of computer architecture OR 2) expertise in theoretical aspects of concurrent computing.
The successful candidate needs to have a Masters degree in Electrical Engineering, Computer Science, or in a related discipline.
Full job description and application form:
http://www.tut.fi/en/about-tut/careers-at-tut/open-positions/index.htm
Application deadline: March 12, 2017.
- Post-doc proposal on charting the human brain with fMRI at INRIA, Saclay (France). Received: 22/02/2017.
Please find enclosed a post-doc proposal for an original “exhaustive cognitive mapping” performed in the framework of the Human Brain Project.
Duration & salary: 12 months renewable up to 3 years, about 2100 enet monthly
Research teams: Parietal (INRIA Saclay) and Unicog (INSERM), located at Neurospin, Saclay,France.
Responsible: Bertrand Thirion. Contact: --LOGIN--b5a248883e09d703a77ccfe407bedcdeinria[dot]fr
Application: Interested candidate should send CV and motivation letter.
The post-doc will be in charge of setting a set of protocols up and running to pass them on the existing pool of 12 subjects of the Individual Brain Charting project. These protocols will be provided by the community (potentially from in-house developments) are meant to cover a large array of sensory, motor and cognitive processes.
The post-doc will take part to the set of acquisitions performed on Neurospin 3T scanner at high resolution (1.5mm) and analyze the data by using a pipeline provided by the lab. Detailed reports will be provided to assess the quality of the data, motivate the participants and document the content of the database. These reports will provide extensive information on the functional organization of the brain in each individual, which will furthermore be confronted to other imaging modalities, e.g. anatomical and functional connectivity. Complex alignment procedures will then be carried out to obtain a population-level mapping that will lead to the first data-based cognitive atlas of the human brain.
The data and atlas and analysis material will be released publicly.
See https://team.inria.fr/parietal/files/2011/07/post-doc_ibc-1.pdf for details.
- Postdoctoral position in 3D scene understanding from video at IIT (Italy). Received: 21/02/2017, deadline: 01/03/2017.
Postdoctoral position in 3D scene understanding from video - [ Postdoc ]
Workplace: IIT
Added on: 02/12/2016 - Expires on: 01/03/2017
The Visual Geometry and Modelling (VGM) Lab of the Pattern Analysis and Computer Vision Research Line (PAVIS) is offering a Postdoc position.
This call aims at consolidating VGM expertise in dynamic scene understanding from video towards the creation of autonomous vision systems working in real environments.
The specific topics of research are related, but not limited to, the following areas:
- 3D scene understanding from video and RGBD sensors;
- Dense large scale 3D reconstruction from multiple views;
- Motion segmentation/clustering from video;
- Deep learning for 3D object detection and pose estimation;
- Visual question answering.
Candidates to this position have a Ph.D. in Computer Vision and preferably 1-2 years of postdoc experience in computer vision, machine learning, signal processing, applied math or related areas.
Evidence of top quality research on the above areas in the form of published papers in top computer vision conferences (CVPR, ECCV, ICCV) and/or journals (TPAMI, IJCV, CVIU, IVC, etc.) is required.
Experience on optimization methods, component analysis and strong programming skills in Matlab and C/C++ will be highly considered.
Salary will be commensurate to qualification and experience and in line with European standards.
Complete application forms along with a CV listing all publications (with a google scholar profile), a 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 “IIT Post doc position BC 73196” in the email subject. Please provide two reference letters.
Please apply before March 1st, 2017.
Review of applications will begin immediately and will continue until the position is filled.
Istituto Italiano di Tecnologia (IIT) was established by the Italian government with the objective of promoting technological development and higher education in science and technology. In this framework, IIT is implementing a detailed scientific program based on integration across fundamental research and application. IIT's research endeavour focuses on high-tech and innovation, representing the forefront of technology with possible application from medicine to industry, computer science, robotics, life sciences and nanobiotechnologies.
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.
- Postdoc position in Computer Vision for 3D mapping and scene understanding at IIT (Italy). Received: 21/02/2017, deadline: 07/03/2017.
Postdoc position in Computer Vision for 3D mapping and scene understanding - [ Postdoc ]
Workplace: IIT
The Visual Geometry and Modelling (VGM) Lab at IIT invites qualified applicants to submit their CV’s for a Postdoc position in Genoa under the supervision of Dr. Alessio Del Bue.
The VGM Lab mission is to provide computational tools for the large-scale understanding of data, this being sensed at the nano and up to the macro scale level. With a privileged focus on image and video data, the main lab goal is to research and apply methods to boost the advances of life scientists and engineers in untangling and modelling the (big) data as provided by modern sensors (e.g. high-resolution cameras, time-lapse microscopy, 3D scanners).
The scientific core of the lab is related to the research fields of Computer Vision, Signal Processing and Numerical Optimization with the primary goal to provide algorithms for:
- Reality Capture: 3D reconstruction from images, sound and range data;
- Dynamic scene understanding from sensor networks (video and audio);
- Large scale data clustering and modelling for Life Science and Engineering.
Expertise in these research fields is applied to several practical problems in the industry with ongoing collaboration with world-leading companies in machine vision, automation, avionics and photonics.
VGM is opening a postdoc position to work on 3D mapping and structure from motion with RGBD sensors. The aim is to create an autonomous 3D reconstruction system for indoor environments by using an active camera attached to a robotic arm. The system will be working in challenging scenarios dealing with severe occlusions and sensor noise in a fully autonomous way. Candidates should have strong programming skills in C/C++ and a general knowledge of ROS software libraries. Proven scientific track record on major computer vision and robotics conferences/journals is also a relevant criteria for the selection.
This project will be managed in collaboration with an international industrial partner delivering state-of-the-art machine vision applications.
The candidate will be also involved in project meeting, and submission of papers at top-tier computer vision and robotics conferences.
At the time of the application eligible candidates have a Ph.D. degree in Computer Vision, Engineering, Robotics and related fields.
Please send the application, including a CV with publication list, brief description of research interests and main accomplishments and names of 2 referees both to --LOGIN--d0728d0f6c6e978f32ad89f2744940e4iit[dot]it and to --LOGIN--630c4f9471779b10b75172f6c93ca596iit[dot]it , quoting “Postdoc VGM position BC 72847 ” in the email subject. The call will remain open until the position is filled but a first deadline for evaluation of candidates will be March 7th, 2017.
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, 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 applications from medicine to industry, computer science, robotics, life sciences and nanobiotechnologies.
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.
- Postdoc positions in Neuromorphic computing at the Institute for Infocomm Research (Singapore). Received: 20/02/2017.
Multiple scientist and research engineer positions are available in Singapore, at the Institute for Infocomm Research (I2R), A*STAR, Singapore. This project is part of a large multidisciplinary grant in neuromorphic technologies involving multiple universities and research institutions in Singapore (NUS, NTU, IME, IHPC, I2R). The project is focused on building a new neuromorphic chip using RRAM that enables on-chip learning, together with a suite of learning algorithms that would then be deployed in applications in the advanced manufacturing domain.
The primary scope of our research is to develop spike-based computing and learning algorithms for deep spiking neural networks on a neuromorphic chip. Specifically, we are interested in employing spikes in information processing and learning. To this end, successful candidates will conduct research in one or more of the following areas:
- Neuronal coding. What coding and readout strategy underlie spike-based representation. How to encode external stimuli into spike based representations and how to readout information from spike activities.
- Learning. How does neurons adapt their synaptic weights to perform a given task under cases of supervised, unsupervised and reinforcement signals. What are the underlying mechanisms for deep-structured network learning.
- System integration and applications. How to integrate different computational principles into a system and apply it to solve different practical tasks.
Preference will be given to candidates who can document knowledge in machine learning, neural networks, information processing, system design or hardware implementation with VLSI and FPGA.
Candidates must have a PhD (for scientists) or MS/BS (for engineers) in computer science, computational neuroscience or related fields. Strong programming and quantitative skills are highly desired. Candidates should be proficient in spoken and written English.
The appointments will be for 2 years, and extended for another 2 years, after review. Salaries are commensurate with internationally-competitive salaries and benefits. For comparison, in 2013, Singapore's per capita GDP is US$55,000 and US's per capita GDP is US$53,000.
Other benefits include:
- Funding for international conferences and training courses
- Collaboration opportunities with an excellent network of international scientists
Candidates please send your curriculum vitae, a statement of research interests and three references to Dr. Yansong Chua (--LOGIN--c36c77f7b3ee4fbaa18af5d17b273e31i2r[dot]a-star[dot]edu[dot]sg ) or Dr. Qiang Yu (--LOGIN--fe78c5a8f857eb851e532ac2069d6958i2r[dot]a-star[dot]edu[dot]sg ).
More information:
- Institute for Infocomm Research:
http://www.i2r.a-star.edu.sg/
- Working in Singapore:
http://www.contactsingapore.sg/professionals/why_singapore/
- Postdoctoral position on Reproducibility of Scientific Applications including Floating Point Arithmetic at North Carolina State University, Raleigh (USA). Received: 17/02/2017.
We have an open 1.5 year postdoctoral position, extendable to two years based on performance and funding availability, located at North Carolina State University in Raleigh, NC. The project broadly targets the result reproducibility of scientific applications that include floating point operations on heterogeneous parallel platforms, such as HPC clusters including GPUs, Intel Phi coprocessors and other accelerator devices. The project involves work on different themes: study of accuracy-performance tradeoffs involved with the use of different arithmetic precisions on parallel platforms; identification of common sources of accuracy errors and study of their accumulation, propagation, and runtime effects; modeling of computational kernels leading to reproducibility problems into code inspectors; automatic deployment of code inspectors on large-scale scientific simulations. The postdoctoral fellow will have the flexibility to select one or more specific research themes depending on his/her interests and expertise.
The successful candidate should have a PhD in Computer Science, Computer Engineering, or related areas, and a track record of publications in high-quality journals and/or conferences. The candidate must have the ability to work independently and as part of an interdisciplinary team.
The project requires strong C/C++ programming skills and parallel computing expertise. Depending on the specific research theme(s) selected by the postdoctoral fellow, expertise in one or more of the following areas is desirable:
• Scientific simulations (e.g. molecular dynamics, weather prediction, etc.)
• GPU/Intel Phi architecture and programming
• Design of compiler and runtime techniques
If interested, please email your application to --LOGIN--04b1a278efd5947349289c17ae357887ncsu[dot]edu . Your email should have subject “Postdoc on Reproducibility at NCSU” and include: (1) a cover letter, and (2) a CV including a list of publications.
Please direct all your inquiries to --LOGIN--04b1a278efd5947349289c17ae357887ncsu[dot]edu .
Information on our current projects and recent publications are available here: https://people.engr.ncsu.edu/mbecchi/
- PhD Studentship in Deep neural networks at the University of Bristol (UK). Received: 13/02/2017, closing date: 28/02/2017.
PhD Studentship: Deep neural networks, investigating what they compute and why they work so well
University of Bristol - School of Experimental Psychology
Funding amount: Fees and Stipend for 3.5 years
Closes: 28th February 2017
The project: A fully funded (EPSRC) PhD studentship is available at the University of Bristol, UK, to study deep neural networks, investigating what they compute and why they work so well.
Deep neural networks have proved tremendously powerful methods for solving many pattern recognition problems. They consist of a method for representing a problem, together with techniques for finding good solutions. In the abstract a neural network represents a problem as a (potentially very large) number of transformations, computed by layers of “neurons”, that each operate on the output of the previous layer. The final layer consists of a representation, knowledge of which allows the problem to be solved. Training rules then consist of discrete approximations to stochastic differential equations, with these noisy equations being based on large data sets of examples of the desired behaviour. Empirically, we know that these methods work very well and, at least when trained with very large data sets, produce solutions that generalise better than almost all alternative techniques. They have therefore become the basis of many of the advances in artificial intelligence. What is ! far less clear is why. This PhD aims to try to work out: why neural networks work; what all the tuning parameters “mean”; if there are better ways of parameterising these transforms other than the crude but effective methods currently used; and if there are alternative cost functions that result in more robust learning early on in “training”.
The plan is to use methods from statistical physics and differential geometry to characterise both what each layer/transform does, and what the combined effect of the multiple layers is. The candidate is therefore expected to have a strong mathematical background, and will be expected to have taken courses in either some kind of differential geometry, statistical physics or both. The project will require empirical investigation of the behaviour of deep neural networks, usually using synthetic problems where the characteristics of the problems are well understood. Therefore some experience in programming (any language) would be an advantage, but given that the tools available are so good and easy to learn, not essential.
The candidate would be based in the School of Experimental Psychology at the University of Bristol, but we have strong connections with other Schools within the University.
For more information contact:
Roland Baddeley (--LOGIN--59ae64ec448a8244acb8580957375449bristol[dot]ac[dot]uk ) or
Nick Scott-Sammuel (--LOGIN--3224b528c24a0147a466f5aeed61f562bristol[dot]ac[dot]uk )
How to apply:
Please make an online application for this project at http://www.bris.ac.uk/pg-howtoapply. Please select PhD Experimental Psychology on the Programme Choice page. You will be prompted to enter details of the studentship in the Funding and Research Details sections of the form.
- Research Associate in FPGA Instrumentation at Imperial College London (UK). Received: 10/02/2017, closing date: 14/03/2017.
Role summary
We are recruiting to our world-leading FPGA team. We are seeking candidates with detailed expertise in design for FPGAs at a physical level, as part of an instrumentation team working within the PRiME project (http://www.prime-project.org). The role of the instrumentation team is to develop techniques to allow low level control and monitoring of FPGA resources such as slack
(http://cas.ee.ic.ac.uk/people/gac1/pubs/JoshFPL13.pdf)
and power
(http://cas.ee.ic.ac.uk/people/gac1/pubs/EddieFCCM16.pdf).
We are particularly looking for skills in one or more of:
• FPGA CAD tools, especially Altera Quartus II, and the use of tcl scripting to drive these tools in unusual ways
• Device driver and Linux kernel development
To be appointed at Research Associate level, applicants must already hold a PhD (or equivalent). We are also keen to talk to candidates who will soon receive their PhD in one of these areas.
As well as being able to demonstrate skills and experience in one or more of the above areas, you should have the ability to interact with a wide range of people across a number of partner institutions and with international collaborators, the ability to develop and apply new concepts, and excellent verbal communication skills. You should also be able to organise your own work with minimal supervision, work to deadlines and demonstrate willingness to work as part of a team.
For informal enquiries about the post please contact Professor G. Constantinides at --LOGIN--f3aace45a1f281332ccf4f14c72e484bimperial[dot]ac[dot]uk .
Imperial Managers lead by example.
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistants within the salary range £31,740 - £33,370 per annum
Our preferred method of application is online via our website. Go to https://www.imperial.ac.uk/job-applicants/ (Select “Job Search” then enter the job title or vacancy reference number into “Keywords”). Please complete and upload an application form as directed quoting reference number EN20170023SA. Further information is also available on the job description.
Any queries regarding the application process should be directed to Wiesia Hsissen at --LOGIN--7135e65f9b94281ff0b7d27cce55276cimperial[dot]ac[dot]uk
Closing Date: 14 March 2017 (midnight GMT)
Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and are working in partnership with GIRES to promote respect for trans people.
http://www.jobs.ac.uk/job/AXG909/research-associate-in-fpga-instrumentation
- Ph.D. studentship in Machine Learning at the University of Manchester (UK). Received: 09/02/2017, available till the position is filled.
The School of Computer Science at the University of Manchester, U. K. is offering a funded Ph.D. studentship, which covers the full costs of UK/EU tuition and standard living fees.
This research work will be within the fields of machine learning, pattern recognition and artificial intelligence. The broad aim will be to develop advanced mathematical modelling and large-scale optimisation techniques, to simulate human intelligence for solving complex tasks, such as matching, recognition, relation extraction, or text/image understanding. The developed techniques will be simulated on real-world tasks, such as generating text description of image/video content, question answering, image understanding, language interpretation, etc.
We will consider applicants who have:
* Very strong interest in the above research fields.
* An excellent undergraduate degree in Computer Science or Mathematics (or related discipline), and preferably, a relevant M.Sc. degree.
* Very good experience with computer programming of mathematical models and algorithms (in Matlab, R or Python, or other platforms).
* Excellent report writing and presentation skills.
* Good ability to communicate with fellow students and colleagues.
Please, note that applicants must additionally satisfy the standard requirements for postgraduate studies at the University of Manchester, such as a first-class or high upper-second class (or an equivalent international qualification) and English language qualifications, as stated in the PGR guidelines.
Qualified applicants are strongly encouraged to informally contact the supervising academic Dr. Tingting Mu (--LOGIN--c1148348e36b8609bad298d0011b5492manchester[dot]ac[dot]uk ) to discuss the application and possible research titles prior to applying.
Supervisor's Webpage is
http://personalpages.manchester.ac.uk/staff/tingting.mu
Further information about the application can be found at
http://www.cs.manchester.ac.uk/study/postgraduate-research/apply/.
- Postdoc position available for our new FET-PROACT project at the University of Southern Denmark (Denmark). Received: 09/02/2017, deadline: 27/02/2017.
Postdoc position available for our new FET-PROACT project
The Embodied AI and Neurorobotics Lab (http://ens-lab.sdu.dk/), part of Centre for BioRobotics (CBR) at the Maersk Mc-Kinney Moller Institute at the University of Southern Denmark, is offering:
One postdoc position starting from Marts 2017 or as soon as possible thereafter, for up to four years.
The postdoc will work on our exciting Plan4Act: “Predictive Neural Information for Proactive Actions: From Monkey Brain to Smart House Control” project recently funded by FET-Proactive (Area 2: Biotech for better life) under Horizon 2020 Framework Program.
The goal of the Plan4Act project is to record and understand predictive neural activity from monkey brain and use it to proactively control devices in a smart house. The far-future vision behind this is to endow motor-impaired patients with the ability to plan a daily-life goal – like making coffee – and achieve it without having to invoke one by one every single individual action to reach this goal.
In the context of the project, we provide the following topic for the position:
“Embedded system technology”: You will focus on the development of a controller board based on a field-programmable gate array (FPGA) for the hardware implementation of the adaptive neural-based control. The FPGA-based hardware controller will interface with a neural recording device and a smart house. It will receive neural activities from the monkey brain through the recording device, process the information, and transmit final commands to a smart house.
The successful candidates will be expected to have:
1) A PhD degree in embedded system, electrical engineering and computer science, robotics or a quantitative field.
2) Articles published in international peer-reviewed journals documenting experience with brain machine interface, embedded systems, FPGA systems (Design), FPGA interfacing, Neural Networks in FPGAs etc.
3) Strong background on system integration, FPGA system design, PCB design, Circuit Design, Xilinx FPGAs, Micro Blaze, Zynq, Neural Networks in FPGAs.
4) Good programming skills (e.g., VHDL, C, C++, Matlab Simulink).
Additionally, the candidate should have excellent writing skills and be able to work independently. The successful candidate for the position will be affiliated to the Embodied AI and Neurorobotics Lab at the Maersk Mc-Kinney Moller Institute, the University of Southern Denmark.
The applicant should provide a covering letter explaining his/her approach to the problem, and at most three articles illustrating his/her publication record and research interests, in addition to standard items such as CV, full publication list, etc. (see below).
Applications will be considered continuously until the position is filled.
Contact Information: Further information is available from Assistant Prof. Jørgen Christian Larsen, email --LOGIN--653a5dcca52495bde6349ee6d5fb8565mmmi[dot]sdu[dot]dk
Research environment: Please see http://ens-lab.sdu.dk/contact/ for the location of the Embodied AI and Neurorobotics Lab.
To get a better idea of related research, please visit http://ens-lab.sdu.dk/
Application, salary and conditions of employment etc. Employment as postdoc is temporary. Level of qualification is a PhD.
If special circumstances exist employment may be extended for one year.
Research will be predominant in the position. Teaching assignments can be agreed individually. Furthermore, other types of assignments may occur to a limited degree.
The Faculty determines the distribution of the various assignments. The weighting of the different assignments may vary over time.
Applications will be assessed by an expert. Applicants will be informed of their assessment by the Faculty.
As part of the overall assessment of the applicant’s qualifications, an interview may be applied.
The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and AC (the Danish Confederation of Professional Associations), Cirkulære om overenskomst for Akademikere i staten 2015.
Applications must be submitted electronically using the link below. Attached files must be in Adobe PDF or Word format. Each box can only contain a single file of max. 10 Mb.
An application must include:
Application Curriculum Vitae Certificates/Diplomas (Master and PhD degree) Information on previous teaching experience, please attach as Teaching portfolio List of publications indicating the publications attached Examples of the most relevant publications. Please attach one pdf-file for each publication, a possible co-author statement must be a part of this pdf-file Further information for international applicants about entering and working in Denmark.
The University encourages all interested persons to apply, regardless of age, gender, religious affiliation or ethnic background.
Campus: Odense
Application deadline: 27/02/2017
Apply online:
https://ssl1.peoplexs.com/Peoplexs22/CandidatesPortalNoLogin/ApplicationForm.cfm?PortalID=3795&VacatureID=884160
- Open Computational Neuroscientist / Data Scientist position at Q-State Biosciences, Cambridge, MA (USA). Received: 08/02/2017.
Q-State Biosciences is seeking a highly skilled Data Scientist to analyze and visualize data from its cutting edge disease modeling and drug screening efforts. The successful candidate will work closely with Q-State’s scientific and management teams to provide solutions in a high quality and scientifically rigorous fashion.
Responsibilities and Duties
• Analyze all-optical electrophysiology recordings from complex cellular cultures
• Extract and visualize subtle features from multidimensional data
• Develop classifiers to categorize patients, cell types, and pharmacological responses
• Implement new and improve existing analysis algorithms
• Further develop software for automated generation of reports
• Improve pipelines for handling and analyzing large amounts of data
• Collaborate with other team members to ensure data are acquired, processed, and stored according to appropriate procedures
• Solve complex problems in activity-based image segmentation in the presence of high noise (independent components analysis, morphological image processing)
Minimum Qualifications Required
Experience in MATLAB
• Ability to write clean and efficient analysis software
• Must have the ability to analyze complex statistical problems, propose elegant and broadly applicable solutions, and translate to clearly documented algorithms
• Knowledge of fundamentals of Object-Oriented Programming
• Ability to work independently and in cross-functional teams
• Flexibility to work in a startup atmosphere
• Excellent oral, written and interpersonal communication skills
• Ph.D. in a relevant discipline or equivalent experience
Additional Qualifications Desired
• Knowledge of electrophysiology, basic elements of neuronal biophysics
• Algorithms expertise in machine learning, dimensionality reduction, and/or image processing
• Experience in Python, Windows, Linux, SQL/NoSQL databases, and/or cloud compute (e.g. AWS)
• Git or other collaborative version control
Benefits - Competitive salary
- Health care coverage, including medical, prescription drug, vision, dental, and wellness resources
- Company paid Life and disability insurance
- 401(k)
- Commuter Assistance
- Generous paid time off, including 3 weeks vacation, 11 paid holidays and liberal sick time
- Stock Options
CONTACT INFORMATION
Please send your cover letter and resume to --LOGIN--824e4d22bafcb02b7bcc96a6aeef2ddeqstatebio[dot]com
http://www.qstatebio.com/careers/data-scientist/
- Postdoctoral Fellowships in Theoretical and Computational Neuroscience at the University of Pennsylvania (USA). Received: 08/02/2017, deadline: 15/03/2017.
The Computational Neuroscience Initiative (CNI) of the University of Pennsylvania seeks exceptional candidates for a CNI Postdoctoral Fellowship. Candidates with strong quantitative skills from a variety of fields including neuroscience, cognitive science, psychology, biophysics, physics, mathematics, systems biology, computer science and engineering will be considered. The selected Fellows will join an inter-disciplinary research environment in historic Philadelphia. CNI Fellows will be encouraged to foster collaborative research between multiple labs, organize a weekly seminar/chalk talk series for the CNI community, and serve as mentors to students. The Fellowship will provide salary and travel support for the fellow over a 3 year term.
The CNI supports interdisciplinary and collaborative research at the frontier of knowledge about the brain, behavior, and the mind (see http://cni.upenn.edu/). We focus on systems-level approaches that integrate theory and computation with experiment. Our members include faculty, post-docs, and students from multiple programs and departments including neurobiology, cognitive science, psychology, physics, mathematics, electrical engineering, bioengineering, and computer science. Our research and training spans the three major elements of the field of Computational Neuroscience:
1) Theory – understanding the brain as an information-processing machine;
2) Experiments – providing quantitative methods to aid in the design, implementation, analysis, and interpretation of empirical studies that probe all levels of brain function, from molecules to behavior; and
3) Applications – including robotics, brain-machine interfaces, and new clinical tools.
Applications should be submitted by email to --LOGIN--6130bfde35fd1b9de9d016313fa607fdsas[dot]upenn[dot]edu , and should consist of a CV and a cover letter stating the candidate's research experience, reasons for applying to this Fellowship, and research interests. Please arrange for up to three letters of recommendation to be sent to the same email address as well, with the candidate’s name in the subject line. The deadline for applications is March 15, 2017.
The University of Pennsylvania values diversity and seeks talented individuals from diverse backgrounds (http://jobs.hr.upenn.edu).
- Two funded PhD positions in Brain Computer Interfacing (BCI) for communication in Completely Locked-in State at the University of Tuebingen (Germany). Received: 08/02/2017.
Two funded PhD positions are available starting from 1st of March in the group of Prof. Dr. Dr. hc mult. Niels Birbaumer at the Institute of Medical Psychology and Behavioral Neurobiology, University of Tuebingen.
The PhD candidates will work towards the development and application of Brain Computer Interface (BCI) for communication in completely locked-in state, vegetative state and minimal conscious state patients.
Requirements for PhD Position 1:
1) Skilled in signal processing,
2) Skilled in EEG signal acquisition and analysis.
3) Knowledge of fNIRS – will be advantageous but not mandatory,
4) Knowledge of Machine Learning,
5) Excellent programming skills, preferably in MATLAB, and
6) Good social and Communication skills.
Requirements for PhD Position 2:
1) Excellent social and communication skills,
2) Willing to travel to patients,
3) Must be able to communicate in GERMAN,
4) Preferably of neuroscience background with knowledge of EEG signal acquisition and analysis.
Both the candidate should be open to, eventually, travel to patients to perform the BCI studies.
If you are interested, please contact Dr. Ujwal Chaudhary directly via email:
--LOGIN--5d5f082f2ecb9e3423eaddcbc7c47643uni-tuebingen[dot]de
- PhD position in machine learning at the Ruhr-University Bochum (Germany). Received: 07/02/2017, deadline: 28/02/2017.
Open position for a PhD Student with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany
Institute:
Institute for Neural Computation
Ruhr-University Bochum
Universitaetsstr. 150
D-44801 Bochum, Germany, EU
The Institute for Neural Computation is a central research institute at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications.
Research group:
Prof. Dr. Laurenz Wiskott, see http://www.ini.ruhr-uni-bochum.de/PEOPLE/wiskott/
Research topics:
The project is in the field of machine learning with an emphasis on unsupervised learning and reinforcement learning. We are particularly interested in expertise on probabilistic modeling and visual processing. The position is part of a team working jointly on a self-organizing agent learning to navigate and behave in a virtual environment. Even though the main focus is machine learning, the group is also involved in collaborative projects in the field of computational neuroscience on modeling hippocampal function for navigation. We largely work with and contribute to the Modular toolkit for Data Processing written in Python.
Teaching:
There is a teaching load of 3 hours per week during the semester, in particular for a programming course in python.
Time:
The position is available immediately. The appointment will be for three years and can then be extended for one more years if needed.
Requirements:
Candidates should have an education in physics, mathematics, electrical engineering or any related field. Required are strong mathematical and programming skills as well as the ability to communicate and work well in a team.
Salary:
Salary is 75% of salary scale TV-L E13.
Inquiries:
Informal inquiries can be addressed to Prof. Laurenz Wiskott --LOGIN--0904dd778dfaa2fcdd18ba78114f93acrub[dot]de .
Application:
Applications should be sent in electronic form to Prof. Laurenz Wiskott --LOGIN--0904dd778dfaa2fcdd18ba78114f93acrub[dot]de .
Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We therefore look forward to applications from qualified women. Applications from appropriately qualified handicapped persons are also encouraged.
Deadline:
Official deadline is February 28., but later applications might still be considered.
- Open faculty search in Computer Science at the Universidade de Lisboa (Portugal). Received: 06/02/2017, deadline: 28/02/2017.
The Computer Science and Engineering Department of the Instituto Superior Técnico of the Universidade de Lisboa is carrying out an open search process for possible candidates to future openings for faculty career positions. This open search is targeted at possible candidates who have an interest in enrolling at the base level of the university professional career, in all scientific areas of the Department, namely:
• Architecture and Operating Systems.
• Computer Graphics and Multimedia.
• Artificial Intelligence.
• Programming Methodology and Technology.
• Information Systems.
Possible candidates should send to the email address --LOGIN--e58b658fb34ffc724463e5d49df8a85fdei[dot]tecnico[dot]ulisboa[dot]pt a zip file containing the following materials:
• Curriculum Vitae
• Teaching and research statement
• Contact (including email address) of three researchers or professionals from the area who can be contacted to provide reference letters, attesting to the scientific, pedagogical, and professional qualities of the possible candidate.
These materials should preferably be sent by February 28, 2017, for being considered for the 2017 open search process. For any additional questions please contact the Department at --LOGIN--cc1d948d72cc8e2fd6640bde029f9696tecnico[dot]ulisboa[dot]pt .
- Postdoc position in machine learning at the University of Washington (USA). Received: 06/02/2017.
The University of Washington has a postdoc position opening in machine learning. The postdoctoral fellow will work on automatic machine learning model selection and automatically explaining machine learning classification / prediction results.
Candidates should have a PhD in machine learning from computer science or related areas, be proficient in Java programming, and be familiar with Weka source code. Experience with Spark/Hadoop is a plus.
The initial appointment is for one year with the expectation of extension given satisfactory performance. Applications will be reviewed until the position is filled. Applicants should send a CV (listing programming skills, publications, and a list of 3 or so research references) and statement of research interests to Gang Luo (--LOGIN--fb3fde590a3608cff0c90d9834f888a8uw[dot]edu ) in the Department of Biomedical Informatics and Medical Education, School of Medicine.
The Luo lab is located near the city center of Seattle. The University of Washington, and the Seattle area in general, has an excellent community and programs in computer science, medical informatics, and related fields.
- Research Fellow positions in Computer Security at the University of Padua (Italy). Received: 03/02/2017, deadline: 01/03/2017.
University of Padua - SPRITZ Security and Privacy Research Group
JOB DESCRIPTION:
The SPRITZ Security and Privacy Research Group at the University of Padova is looking for four research fellows to participate in the project funded by EU H2020 titled “Solutions for access and safe use of mobile scanners devices”. IoT is about connecting billions of objects, things, devices. The overall objective of TagItSmart! (tagitsmart.eu) is to create a set of tools and enabling technologies integrated into a platform with open interfaces, enabling users across the value chain to fully exploit the power of condition-dependent FunCodes, to connect mass-market products with the digital world across multiple application sectors.
The key requirements for the position are as follows:
• Recent PhD (or significant research experience) in Computer Science, Computer Engineering, or related areas.
• Hands-on experience in some of the following areas will be plus:
- Internet of Things (IoT)
- Application/service provisioning architectures
- Android security
- Security and reliability in RFID/NFC scanning
- Trusted Platform Module
•Software design/implementation and prototyping skills.
• Algorithms design and implementation skills.
• Experience in working on EU projects is desirable.
• Publications in high impact journals and well known conferences.
ABOUT UNIVERSITY OF PADOVA AND THE SPRITZ GROUP
The University of Padua is the University of Galileo Galilei, and the first University that awarded a degree to a woman. The first ever report issued by the National Research Assessment Committee set the University of Padova as the highest ranking among leading Italian universities for the quality of its research results. Based on the number of citations of articles and publications by its researchers (source: ISI), the University of Padova ranks among the top three Italian universities for total impact index, productivity index, and presence index.
SPRITZ Security and Privacy Research Group is a group of researchers very passionate in investigating security and privacy issues related to current and future technologies. The SPRITZ group was founded (in 2011) and is led by Prof. Mauro Conti (http://www.math.unipd.it/~conti/). The group is mostly based at the University of Padua, while it enjoys worldwide collaborations. For more information about our group please visit: http://spritz.math.unipd.it/
HOW TO APPLY
Interested candidates are invited to contact Prof. Mauro Conti directly (--LOGIN--2a25eceade166528d300b195dbf003camath[dot]unipd[dot]it ). For more information about the position and how to apply please visit the following link: http://www.math.unipd.it/it/news/?id=1971
Applications must be received by March 01, 2017.
- Postdocs, Assistant Professors and Electrical Engineers positions in Bioelectronic Medicine at the Feinstein Institute for Medical Research, Manhasset, NY (USA). Received: 02/02/2017.
Bioelectronic Medicine is the new frontier of medicine - challenging and changing the way we diagnose, manage, and treat disease. Today's discoveries and devices are successfully replacing drugs. We aim to treat bleeding, cancer, diabetes, lupus, obesity, paralysis, rheumatoid arthritis, sepsis, and many other diseases and conditions.
The Center for Bioelectronic Medicine at the Feinstein Institute for Medical Research is seeking candidates to fill multiple positions in the fields of machine learning, neural engineering, neural decoding and data analytics, microfabrication, bioelectronics and biosensing, and neurophysiology.
Each successful candidate will work as part of a multidisciplinary team to determine the nature of neural control over molecular, cellular and organ functions of the body, the parts of the brain that regulate those nerves, and the signals that the brain receives to monitor cell and organ function. The candidates will work on projects involving development of novel signal processing and machine learning methods to gain insights into decoding and encoding mechanisms of the brain and peripheral nerves, reinforcement learning approaches used to optimize neural stimulation, techniques to directionally transmit or receive neural signals and numerical and biophysical modeling of neural circuits.
Submit your resume and desired position (Post Doc, Assistant Professor, or Electrical Engineer) to --LOGIN--807b1608755db9f80e52aedd0d065c51northwell[dot]edu for consideration. Please also include your possible start date.
- Associate Professor positions in Computer Science at KTH Royal Institute of Technology, Stockholm (Sweden). Received: 02/02/2017, deadline: 17/02/2017.
The positions are formally in computer science, and include opportunities for researchers with track record in computational neuroscience, brain inspired computing, neuroinformatics, etc.
Candidates with such a background will be integrated into the Dept. Computational Science and Technology which conducts research in computational brain science (https://www.kth.se/en/csc/forskning/cst).
Apply at
https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:96024/where:4/
- Tenure track research position in Machine Learning at CWI, Amsterdam (The Netherlands). Received: 01/02/2017, deadline: 14/02/2017.
NOTE: the deadline has been extended to February 14th, but we would need an email indicating interest before February 7th.
The Dutch national research institute for mathematics and computer science Centrum Wiskunde & Informatica (CWI) in Amsterdam seeks outstanding candidates to apply for a
Tenure track research position in Machine Learning
The CWI machine learning group carries out research on the design and analysis of algorithms for learning and inference, with a focus on the interplay between machine learning, traditional statistics and information theory.
Job description
We are looking for an accomplished machine learning researcher with an excellent track record. While we very much welcome application-oriented research, given the group’s emphasis on theoretical analysis, a demonstrable affinity for theory and foundations is important. The candidate is expected to grow a highly visible and successful research program, strengthening existing research lines or establishing new ones that broadly fit within the group’s focus. Specific topics of interest include, but are not limited to:
- Bayesian and information-theoretic learning methods that are robust to misspecification (‘models that are wrong, yet useful’)
- Analysis and Development of Spiking Neural Networks
- Online learning, prediction and optimization
- Adaptive Data Analysis
- Statistical Learning Theory
- Machine Learning in the health domain
During the tenure period, the researcher is expected to publish high impact articles in top venues, obtain funding, and recruit and supervise PhD students and junior researchers. Additionally, the candidate is expected to occasionally take part in teaching master-level machine learning (guest) courses at selected universities in The Netherlands.
Requirements
The successful candidate will have an excellent track record of innovative research and publications in machine learning, exemplified by peer reviewed publications in some of the leading ML conferences (such as NIPS, ICML, UAI, COLT, AI&Stats) and journals. The candidate has the ambition and potential to acquire personal research grants such as VENI/VIDI/VICI (NWO) or ERC grants (EU), and/or to acquire external funding for applied research (e.g. from NWO, STW, EU, or industry). The candidate should have excellent communication skills and post-doctoral experience of preferably at least three years. CWI expects its tenured researchers to speak Dutch at the end of the tenure track.
Terms and conditions
The position is for three or five years depending on knowledge and experience. At the end of a successful tenure track term a permanent scientific staff position will be offered. Criteria for evaluation comprise a track record of publications that is well above average, and the ability to acquire funding and to build up an (inter)national network and reputation.
The terms of employment are in accordance with the Dutch Collective Labour Agreement for Research Centres (“CAO-onderzoeksinstellingen”). Depending on relevant work experience, the gross monthly starting salary for an employee on a full time basis ranges from € 3,469 to € 5,425. Employees are also entitled to a holiday allowance of 8% of the gross annual salary and a year-end bonus of 8,33%.
CWI offers attractive working conditions, including flexible scheduling and help with housing for expat employees.
Please visit our website for more information about our terms of employment:
www.cwi.nl/terms-of-employment
Application
Applicants should send:
- a motivation letter;
- a curriculum vitae with a list of publications;
- a copy of their three most prominent publications;
- the names of at least three prominent scientists who can provide letters of recommendation;
- a research statement and a research plan for the coming years, including plans on how to acquire additional funding.
We especially invite qualified women to apply.
If you intend to apply, please notify us via email (--LOGIN--69324aa03b4ed50ca9949c25eb43cdd9cwi[dot]nl ) before February 7th 2017. Please send in the application itself before 14-2-2017 to:
Centrum Wiskunde & Informatica
Personnel Department, Ms. A. Schilder, MSc
P.O. Box 94079
1090 GB Amsterdam
The Netherlands
or email the application to: --LOGIN--8a084fc9707e86462c22aebc70ec9030cwi[dot]nl .
Additional information can be obtained from:
Group leader: Prof. Peter D. Grünwald, tel. +31 (0) 20 592 4115, e-mail: --LOGIN--69324aa03b4ed50ca9949c25eb43cdd9cwi[dot]nl
For more information about CWI, please visit www.cwi.nl or watch our video "A Fundamental Difference" about working at CWI.
About Centrum Wiskunde & Informatica
Centrum Wiskunde & Informatica (CWI) is the Dutch national research institute for mathematics and computer science and linked to the Netherlands Organisation for Scientific Research (NWO). The mission of CWI is to conduct pioneering research in mathematics and computer science, generating new knowledge in these fields and conveying it to trade, industry, and society at large.
CWI is an internationally oriented institute, with 160 scientists from approximately 27 countries. The facilities are first-rate and include excellent IT support, career planning, training, and courses.
CWI is located at Science Park Amsterdam that is presently developing into a major location of research in the natural sciences in The Netherlands, housing the sciences of the University of Amsterdam and of the Vrije Universiteit as well as several other national research institutes next to CWI.
- Funded PhD positions in Invertebrate Computational Neuroscience and Biomimetic Robotics at the University of Sheffield (UK). Received: 01/02/2017, deadline: 01/03/2017.
We are pleased to announce two funded PhD studentships as part of the 5-year £4.8m “Brains on Board” EPSRC Programme Grant (http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/P006094/1), to start in September 2017 at the University of Sheffield. Full details can be found in the link below.
http://staffwww.dcs.shef.ac.uk/people/J.Marshall/lab/Join_Us.html
Current vacancies:
Two PhD scholarships are available as part of the Brains on Board Programme Grant:
• PhD studentship in Computational Neuroscience Modelling of Feedback in the Honeybee Visual System - Deadline March 1st
• PhD studentship in Development of Biomimetic Controllers for UAVs - Deadline March 1st
Enquiries from self-funding researchers are also always welcome, and should be addressed to Prof James Marshall.
- 2 Postdoc positions in automatic visual inspection at Istituto Italiano di Tecnologia (Italy). Received: 31/01/2017, deadline: 15/02/2017.
Workplace: Genova, IIT Central Research Lab Genova
Added on: 30/01/2017 - Expires on: 15/02/2017
The Pattern Analysis and Computer Vision (PAVIS) Research Line at IIT is looking for highly qualified candidates with a strong background in Computer Vision and Pattern Recognition, with particular emphasis on automatic visual inspection applications and other related areas (e.g., recognition, video analysis, etc.).
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 IIT Research Lines providing scientists in Neuroscience, Nanophysics and other IIT 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 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.
This call aims at consolidating PAVIS expertise in the research area of automatic visual inspection in the context of highly efficient industrial applications. The research theme is related to the creation of a novel system that can inspect industrial parts in extreme environments. The system has to detect damages over the parts like cracks and fissures using different sensor modalities. This implies the development of novel algorithms for object detection, classification and quality control that discriminate explicitly the photometric and physical attributes of each object part. In particular, this new inspection problem will require the study of different types of features as the one extracted in deep learning frameworks, as well as robust and effective methodologies.
This project will be managed in collaboration with a major industrial partner.
Candidates to this position have a Ph.D. in computer vision, 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 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 winning candidate will also contribute to setting up new (funding) project proposals and will participate in funding activities.
He/she is expected to publish his/her research results in leading international journals and conferences, supervise PhD students and collaborate with other scientists, also with different expertise.
Salary will be commensurate to qualification and experience and in line with international standards.
Further details and informal enquires can be made by email to --LOGIN--d0728d0f6c6e978f32ad89f2744940e4iit[dot]it quoting PAVIS- BC 73570 - 73571 as reference number.
Please send your completed application forms along with a curriculum listing all publications (possibly including a pdf of your most representative publications), a research statement describing your previous research experience and outlining its relevance to the above topics and names of 2 referees by email both to --LOGIN--630c4f9471779b10b75172f6c93ca596iit[dot]it and --LOGIN--d0728d0f6c6e978f32ad89f2744940e4iit[dot]it , always quoting PAVIS-POST DOC BC 73570 - 73571 as reference
This call will remain open and applications will be reviewed until the position is filled, but for full consideration please apply by February 15, 2017.
IIT was established in 2003 and successfully created alarge-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 endeavour focuses on high-tech and innovation, representing the forefront of technology with possible applications from medicine to industry, computer science, robotics, life sciences and nano-biotechnologies.
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
- Post-doc position in Industrial Wireless Networks at Universidad Miguel Hernandez de Elche (Spain). Received: 27/01/2017.
Job description
The position is offered in the framework of the European H2020 AUTOWARE (Wireless Autonomous, Reliable and Resilient ProductIon Operation ARchitecture for Cognitive Manufacturing, http://www.autoware-eu.org/) research project. The project will develop IoT/5G and cloud networking solutions for improving the digitalization and flexibility of factories in the context of the Industry 4.0. Within the project, the UWICORE laboratory at UMH is in charge of designing reliable and low-latency wireless communications and networks to support the development of the Industry 4.0. The post-doc will work on the following topics:
- Design of networking and communications protocols for low latency and high reliability industrial wireless communications (layer 2 and layer 3 protocols, cross-layer, multi-hop communications).
- Hybrid and self-organizing network management schemes to support distributed industrial wireless networks and reduce the time needed to reconfigure and reprogram them.
- Definition of an architecture for industrial heterogeneous wireless networks to support the ubiquitous connectivity of CPPS and allow for efficient data management and distribution.
The work will require the design and evaluation of protocols mainly through simulations and numerical evaluations. Theoretical analyses can be also expected.
Candidate profile
Candidates should have a PhD in Telecommunications, Electrical, or Computer Engineering (or closely related disciplines), and a proven track record of publications in relevant journals and conferences. Preferably, the candidate should have done the PhD or have experience in one of the following research topics: industrial wireless networks, IoT, 5G, wireless sensor networks, cyber-physical systems, mobile and wireless networking, wireless network planning, design and optimization. The candidate should have good programming and simulation skills. Good written and spoken communication skills in English are required, as well as team working skills and availability to travel.
Conditions
- Application deadline: continuous evaluation until the position is filled
- Salary: EUR 30300 annual gross salary. Contract: up to September 2019
- Starting date: ASAP from March 2017 (final call)
Application
Interested candidates should send by email to Prof. J. Gozalvez (--LOGIN--89398b816b2e80b12de10e6808bfe2e3umh[dot]es ): 1) full CV; 2) research statement (2 pages limit) indicating the motivation, understanding and knowledge on the topic of the position as well as its possible relation with the previous research experience of the candidate; 3) electronic copy of the three more relevant publications of the candidate; 4) up to three contacts persons that could act as references if needed. Please send the email with the topic 'AUTOWARE post-doc position'. Applications will be continuously evaluated upon reception, and phone interviews will be organized with the selected candidates until the position is filled. For any additional information, you can send an email to --LOGIN--89398b816b2e80b12de10e6808bfe2e3umh[dot]es
Location
The UWICORE (Ubiquitous Wireless Communications Research) laboratory is part of the Universidad Miguel Hernández de Elche (Spain), www.uwicore.umh.es. The lab activities focus on: industrial wireless networks, vehicular networks, and device-centric wireless communications and networking (including multi-hop cellular networks and D2D). The laboratory has significant expertise in the design of wireless networking protocols, resource management and medium access control techniques, system design and optimization, and experimental prototyping. The lab has a strong track record of collaboration with industry, and participation in collaborative European and national projects.
- PhD position in computational neuroscience at University College London (UK). Received: 27/01/2017, closing date: 31/01/2017.
We are looking for a talented and motivated student to join an exciting project probing the functional properties of mammalian neural circuits. The successful candidate will use a range of techniques -- including two-photon microscopy, two-photon optogenetics, electrophysiology, and behavioural paradigms in virtual reality -- in order to investigate computation in neural circuits during behaviour.
The PhD project will be carried out in the Neural Computation group at UCL (http://www.dendrites.org/), an interdisciplinary research group providing a thriving scientific environment, and offering the prospect of collaborations with scientists in computational neuroscience, engineering, computer science and other fields. UCL is based in central London, with the highest concentration of neuroscience research in the world.
The ideal candidate will have a background in systems, computational or cellular neuroscience with significant lab experience. Good programming skills (e.g. Matlab, Python, C++) would be an asset.
The start date is flexible and the position is fully funded for 4 years. A highly competitive stipend will be provided.
To apply, please send a CV, short statement of motivation and research interests, and the names of three referees to Dr. Michael Hausser (--LOGIN--6ccbe1a064dbe512d042b44ff936cc38ucl[dot]ac[dot]uk ). The closing date is 31 January 2017.
- PhD position in formal methods in control at the University of the Federal Armed Forces Munich (Germany). Received: 26/01/2017, deadline: 15/02/2017.
We invite applications for a doctoral researcher position in the field of formal methods in control. The successful candidate is expected to advance theory of as well as computational methods for abstraction-based controller synthesis, to a degree that facilitates routine, fully automated, practical application of the approach to nonlinear continuous-state plants and complex specifications. The focus is on synthesis algorithms that are both efficient and formally correct.
The project involves theoretical work, algorithm and software development, and, on a small scale, experimental work. There is no teaching requirement and no coursework to be completed. Competitive salary is offered according to the tariff “TVOeD Bund, E 13”.
Required qualifications:
* MSc degree (or equivalent, giving access to doctoral studies) in Electrical Engineering, Mathematics, Computer Science, or a related field. Students about to complete their MSc will also be considered.
* Excellent academic record, showing a strong theoretical/mathematical background and a strong interest in dynamical systems.
* Proficiency in programming (C or Ada/SPARK).
* Excellent communication skills in English (CEFR level C1).
In addition, experience in one of the following fields would be a plus: Set-valued or validated numerics; dynamic programming; formal methods in control; reactive synthesis; professional-grade software development.
Your complete application consists of the following documents, which should be sent as a single PDF file to the email address given below (deadline: Feb 15, 2017):
* CV with photo
* One-page cover letter (clearly indicating available start date as well as relevant qualifications, experience and motivation)
* University certificates and transcripts (both BSc and MSc degrees)
* Contact details of up to three referees
* Possibly an English language certificate and a list of publications
All documents should be in English, with the exception of university certificates and transcripts, which may also be in German. The position is open to applicants worldwide; no special security clearance necessary.
Priv.-Doz. Dr. habil. Gunther Reissig
Email: gunther2014@reiszig.de, Subject: PhD ref 1777
Web: http://www.reiszig.de/gunther/
- PhD Position in High Performance Reconfigurable Hardware Architectures at the University of Stuttgart (Germany). Received: 24/01/2017.
The Institute of Parallel and Distributed Systems at the University of Stuttgart, Germany, opens a PhD student position:
Subject Area
High Performance Reconfigurable Architectures for Data Compression
Subject Description
The subject area includes architecture, design methods, modeling and FPGA based prototyping, digital hardware design and high performance programming on GPUs. Competence in modeling and verification of hardware and a good understanding and skilled usage of the design language VHDL is required. Competence in relevant application areas such as signal or image processing is an asset.
Job Duties
Job duties include research and education in the area of high performance reconfigurable hardware architectures, high performance programming on GPUs, data compression.
Salary
Salary will be sufficient to cover living expenses, university fees, travelling to home country and moderate savings.
Contact Information
The applications should be submitted to:
--LOGIN--f458c656fad261bedda5119650f1a716ipvs[dot]uni-stuttgart[dot]de
Questions can be directed to: --LOGIN--e37ef7030348878ab0bb0f91a2addf12ipvs[dot]uni-stuttgart[dot]de
- Oferta de Tesis Doctoral en astroinformática en la Universidad de Granada (Spain). Received: 20/01/2017, closing date: 03/02/2017.
- Título
Desarrollo de un código de oscilaciones estelares optimizado para el cálculo distribuido
- Objetivo
Se buscan candidatos para solicitar la ayuda del Programa de Formación de Profesorado Universitario (FPU) del Ministerio de Educación, Cultura y Deporte (MECD) para realizar la TESIS DOCTORAL en el grupo de Física Estelar (http://wdb.ugr.es/~fqm292/) del Departamento de Física Teórica y del Cosmos de la UGR.
El trabajo de tesis se enmarca en campo de la física estelar y la caracterización de sistemas planetarios utilizando la técnica conocida como astrosismología, que permite sondar el interior de una estrella analizando las ondas que por ella se propagan. El doctorando deberá desarrollar un código que permita contrastar las predicciones teóricas con las oscilaciones observadas desde los satélites como CoRoT, TESS y PLATO2.0 (ESA). El código optará a formar parte del análisis sistemático de los datos de ultra alta precisión que observará el satélite PLATO (ESA, lanzamiento previsto en el 2024). El código se desarrollará en el lenguaje de programación R y se optimizará para el cálculo masivo en sistemas de computación distribuidos.
-Información sobre la convocatoria (enlaces):
- Web
(http://www.mecd.gob.es/servicios-al-ciudadano-mecd/catalogo/general/educacion/998758/ficha/998758-2016.html#dg)
- BOE
(https://www.boe.es/boe/dias/2017/01/17/pdfs/BOE-B-2017-2646.pdf)
- Plazo de presentación de las solicitudes
Desde el 16 de enero hasta el 3 de febrero de 2017, a las 14 horas (horario peninsular), ambos inclusive.
- Requisitos de los candidatos:
1. Estar en posesión del título de Licenciado o graduado en Ciencias (Matemáticas, Física, Química, Ingeniería Química, Ingeniería informática) y que estén matriculados en un programa de doctorado (de ciencias) en una universidad española en el curso 2016/17 en el momento de la presentación de solicitudes.
2. Alternativamente los solicitantes podrán acreditar que en el momento de presentación de las solicitudes se encuentran en posesión del título de master (en ciencias) o están matriculados en el curso 2016-2017 en un máster universitario oficial (en ciencias) que de acceso a un programa de doctorado (en ciencias) en el curso 2017-2018, de acuerdo con la ordenación académica aplicable.
3. Buen expediente académico, interesado en la investigación y dispuesto a la movilidad geográfica (nacional e internacional).
Buen manejo del inglés hablado y escrito. Se valorará positivamente el conocimiento en lenguajes de programación como R, python o C y en particular en programación orientada objetos.
- Contacto:
Los interesados/as deberán contactar con Juan Carlos Suárez (--LOGIN--fb925a50793f36cc3d0acba758061565ugr[dot]es ) y Andrés Moya (--LOGIN--0f06624eff42702e3fabda7a6e5b08b2ugr[dot]es ).
- Postdoc Fellowship in Machine Learning at the University of Oslo (Norway). Received: 20/01/2017, closing date: 31/01/2017.
One Postdoc Fellowship in Machine Learning for Mental Health Care Technology (2.5 years) in Department of Informatics, University of Oslo, Norway
The position is affiliated to the Robotics and Intelligent Systems group at the University of Oslo, Norway (http://www.mn.uio.no/ifi/english/research/groups/robin).
The goal of the Postdoc project is to develop a patient monitoring and support system using smartphone technology and built-in sensors as well as other on-body sensors that are relevant for capturing and classifying human behavior. This is with the goal of providing the user with the right interventions at the right time. It is a part of the Research Council of Norway funded project INtroducing personalized TReatment Of Mental health problems using Adaptive Technology (INTROMAT, see www.intromat.no). The project – led by Haukeland University Hospital, aims at developing technology that can analyse the user's voice, movement and other properties, and use that for modeling and predicting how these changes with the mental condition. Smartphone and wearables are relevant for data collection, and the system should provide the user with appropriate support and follow up schemes.
The fellowship will be for a period of two and a half years. The candidate will collaborate with a number of national partners in the project. The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees.
Qualifications: Applicants must have a PhD or other corresponding education equivalent to a Norwegian doctoral degree in computer science including machine learning/artificial intelligence (other degrees would be considered if qualifications match). Thus, applicants should have a strong background in programming and machine learning/artificial intelligence. Moreover, knowledge in the fields of human behaviour tracking and analysis, sensor data analysis, biology-inspired techniques, behavior modeling, and app development would be an advantage. A number of partners are involved in the project so collaboration skills would also be assessed.
Pay grade (depending on qualifications and seniority):
Postdoc: NOK 512 700 – 567 100 per year, approx.: €56,000 − 62,000 / $59,000 − 65,000
Full announcement, see:
http://uio.easycruit.com/vacancy/1761561/64290?iso=no
You apply by using the “Send application” link in the announcement.
Closing date for applications: 31st January, 2017
Contact for more information: Prof. Jim Torresen, E-mail: --LOGIN--03d391ebc24dfe6bde6f69333b51a035ifi[dot]uio[dot]no
- Postdoc stipends in autonomous systems at Umeå University (Sweden). Received: 18/01/2017, deadline: 01/02/2017.
Umeå University, Sweden, announces 8 postdoc stipends (2 years) in autonomous systems, including two topics in Cloud Management:
* Postdoc on Anomaly Detection in Future Cloud Computing Infrastructures:
http://www.umu.se/english/about-umu/news-events/grants/6-2279-16
* Postdoc on Autonomous Resource Allocation for Rack-Scale Systems:
http://www.umu.se/english/about-umu/news-events/grants/6-2286-16
* All 8 postdoc stipends in autonomous systems:
http://www.umu.se/english/about-umu/news-events/grants/6-2279--2286-16
Application deadline is February 1, 2017
- Postdoctoral fellowship in computational neuroscience at Harvard University (USA). Received: 18/01/2017.
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 postdoctoral fellow's main focus is the computational modeling component of the project.
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. Jan Drugowitsch will be attending the Computational and Systems Neuroscience meeting on February 23-28 to interview potential candidates.
- Post-doc position in Computational Neuroscience at the University of Sussex (UK). Received: 18/01/2017, closing date: 01/02/2017.
A post-doc position in Computational Neuroscience is available at the University of Sussex for 20 months to be filled as soon as possible.
You will be joining the Odor Objects project (http://www.odor-objects.org/), in which we are investigating how animals interpret the complex odor plumes of chemicals in the air to identify sources of odors and distinguish them. Odor Objects is supported by the Human Frontiers Science Program (www.hfsp.org/) and combines 4 international groups in Konstanz, Germany (physiology), Tempe, Arizona (behavior), Tokyo, Japan (robotics) and Brighton, UK (computational models).
If you are joining us at Sussex your work will involve computational modelling of brain networks and data analysis of related data from the experimental partners.
Models will then be used to design bio-mimetic controllers which will be tested by our partners in Japan.
We are looking for a talented post-doc with an interest in computational work. Applicants from all science disciplines are welcome but essential skills are the ability to program, mathematical skills, e.g. to be able to apply dynamical systems analysis, and creative scientific thinking.
The bulk of the work will be carried out on the beautiful Falmer campus of the University of Sussex at the outskirts of the lively South Coast town of Brighton.
As part of the project you will travel to the project partners worldwide.
There are many opportunities for further interactions at Sussex beyond the project, e.g. with the Brains on Board project (BrainsOnBoard), and a wide variety of Neuroscience research in Sussex Neuroscience (www.sussex.ac.uk/sussexneuroscience/).
For more details and to apply, please go to http://www.sussex.ac.uk/aboutus/jobs/1626.
There is an initial closing date of 1 February 2017 but we will continue searching until the position is filled.
- Fully funded PhD Studentships in Deep Learning and Neural Networks at the University of Essex (UK). Received: 17/01/2017, deadline: 28/02/2017.
We are delighted to announce 5 fully funded PhD Studentships for Home/EU students (with up to 1 available for overseas students), covering fees (£4,120 for 2017-18) plus stipend. Stipends will match standard EPSRC rates (£14,553 for 2017-18). Studentships are for a period of 3 years and start from 1st October 2017.
Our School has a large and thriving graduate research community. We provide an active and stimulating environment to carry out your doctoral research and have an extensive range of specialist labs and facilities.
All CSEE research areas are included, but we are especially interested to hear from applicants for the following topics:
- Brain Computer Interfaces and Neural Engineering
- Wireless Networks
- Optical Networks
- Cyber-Security
- Neural Networks and Deep Learning
- Computational Finance and Economic Agents
- Robotics
- Natural Language Engineering and Computational Narrative
- Bioinformatics and Computational Biology
- Optimisation
How to apply
You should apply via the Essex postgraduate applications site, ideally making contact with potential PhD supervisors before applying. You can also find out more about our current areas of research on our research interests page and on our staff profiles.
Questions and queries about the studentships should be sent to the CSEE School Office (--LOGIN--37ad44e00c8245c09831f015c943ee8eessex[dot]ac[dot]uk ).
Deadline
These are exciting opportunities for students with a passion for research excellence. Successful applicants will also have the opportunity to apply for graduate lab assistant work. The deadline for applications is 28 February 2017.
- Post-doctoral Position in Computer Vision at EPFL (Switzerland). Received: 16/01/2017, deadline: 28/02/2017.
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, helicopters, and drones. This is important because the skies are becoming ever more crowded by both commercial and general aviation, to which must now be added Unmanned Aerial Vehicles (UAVs), also known as drones, along with paragliders, blimps, and many other flying vehicles. To this end, we add to existing devices a wide-angle camera to be used to detect aircraft that might be on a collision course. This will involve developing robust and energy efficient Computer Vision algorithms to detect potential threats that only occupy a small portion of the field of view, may move against complex backgrounds, and are filmed by a camera that itself moves against the background.
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.
- PhD position available at ETH Zürich (Switzerland). Received: 10/01/2017.
We are looking for a talented student with a proactive and self-driven nature who will map functional characteristics of retinal ganglion cells across the entire retina. The successful candidate will perform experiments with ex-vivo retinae and state-of-the-art microelectrode array technology in an interdisciplinary research project and will collaborate with scientists in electrical engineering, neurobiology, computational neuroscience and ophthalmic research.
The PhD project is set in an interdisciplinary research group providing an exciting scientific environment and linked with several ongoing projects. It will pave the way to a better functional understanding of the organization of retina, including the optics of the eye and the statistics of natural stimuli. In particular, we want to understand if functional properties of retinal ganglion cells follow a spatial organization across the entire retina.
The ideal candidate will have strong programming skills (e.g., Matlab, Python, C++), knowledge of statistics and data analysis methods, and a background in Systems Neuroscience, Electrophysiology, Computational Neuroscience, Signal Processing, Optics or related fields.
Inquiries should be addressed to Dr. Felix Franke (--LOGIN--fa63a2588d8c0c55375155848be49dc8ethz[dot]ch ). The position is with the Bio Engineering Laboratory of ETH Zurich in Basel in the group of Prof. Andreas Hierlemann (https://www.bsse.ethz.ch/bel) and begins in March 2017 although the starting date is flexible. The position is fully funded for 4 years.
Please apply under https://apply.refline.ch/845721/5083/pub/1/index.html including a CV, short statement of motivation and research interests, and two letters of reference.
- Postdoctoral Researcher Position in technology enhanced e-learning at National College of Ireland, Dublin (Ireland). Received: 09/01/2017, deadline: 30/01/2017.
National College of Ireland (NCI), Dublin, Ireland advertises one postdoctoral researcher position (up to 24 months fixed term contract) on NEWTON- an European project (http://www.newtonproject.eu/).
The primary focus of the Postdoctoral Researcher (PDR) will be to perform research on the EU-funded project NEWTON in the area of technology enhanced e-learning, to collaborate with the other partners of the NEWTON project and to actively publish research findings in high impact journals and at key conferences.
On the scientific side, the goals are:
- To contribute with innovative learning pedagogical methods that make use of technology when teaching STEM subjects in secondary schools and 3rd level education institutions.
- To research innovative multi-sensorial media (mulsemedia) content delivery solutions that make use of olfactory, gustatory, tactile, and thermoceptive sensations, and how these can be employed for learner benefit.
- To design and build User Models that support content personalisation and adaptation.
- To assess the learning performance and learner satisfaction as result of applying various pedagogical methods.
Novel concepts emerging from the performed research will be validated experimentally by integrating them into the teaching and learning process of a number of subjects.
Brief description:
Contract duration: up to 24 months fix term
Location: School of Computing National College of Ireland
Application deadline: January 30, 2017
Salary: € 36,180 - € 50,000 per annum (commensurate with qualifications and experience)
Expected start date: March, 2017
Application process:
To apply, please e-mail your cover letter and CV, quoting reference number NCI0664 to: --LOGIN--99748b2feec4c59ad941aa751a76762encirl[dot]ie .
Informal enquiries should be made via email and should be directed to:
Dr. Cristina Muntean, School of Computing, National College of Ireland
Email: --LOGIN--30409105b2f6ef60f0f368e960254537ncirl[dot]ie
More details can be found at:
https://www.ncirl.ie/About/Jobs-in-NCI/Current-Vacancies/Postdoctoral-Researcher-up-to-26-months-fixed-term-contract
- Postdoc position in neural coding at the University of Queensland, Brisbane (Australia). Received: 07/01/2017, deadline: 29/01/2017.
We are searching for a postdoc to help uncover the computational principles underlying neural coding in the developing nervous system, based on optogenetic recordings from zebrafish larvae. For lab publications see http://cns.qbi.uq.edu.au/pubs.html
The ideal candidate will have either (1) extensive experience in recording neural activity from zebrafish, and an interest in computational analysis, or (2) extensive experience in computational neuroscience and machine learning, and an interest in experimental neuroscience.
Applicants should possess a PhD in the area of neuroscience, mathematics, physics, computer science, engineering, or other relevant scientific discipline, and have a strong desire to further develop a successful and highly-productive research career and have excellent general research skills. Salary will be in the range AU$78-109k (currently US$57-79k). The position is for one year initially, with renewal contingent on funding.
The position is based at the Queensland Brain Institue (QBI) at the University of Queensland (UQ), Brisbane, Australia. QBI consists of over 40 labs and almost 500 total staff including about 100 PhD students and 100 postdocs, mostly based in two dedicated ajoining buildings. UQ is consistently ranked in the top 100 universities in the world, with a total enrolment of 50,000 students.
The link for applications is http://jobs.uq.edu.au/caw/en/job/500027/postdoctoral-research-fellow-research-fellow
Informal enquiries are also welcome. Application deadline is 11.55pm on Jan 29th AEST.
- Postdoctoral position in machine learning at Duke University (USA). Received: 06/01/2017.
A postdoctoral associate position is available at Duke University to work in Dr. Maciej Mazurowski's lab on an NIH R01-funded project. More details are available here:
http://deckard.duhs.duke.edu/~mazurowski/positions/postdoc_machine_learning.html