- Comp-neuro - lists.cnsorg.org

[meetings] Living Machines V: Second Call for Papers, Satellite Events and Sponsors

by Nathan F Lepora

Second Call for Papers, Satellite Events and Sponsors Living Machines V: The 5th International Conference on Biomimetic and Biohybrid Systems 18th to 22nd July 2016 http://csnetwork.eu/livingmachines/conf2016 To be hosted at the Dynamic Earth Edinburgh, Scotland In association with the Heriot Watt University and University of Edinburgh Accepted papers will be published in Springer Lecturer Notes in Artificial Intelligence Submission deadline March 11th, 2016 ___________________________________________________________ ABOUT LIVING MACHINES 2016 The development of future real-world technologies will depend strongly on our understanding and harnessing of the principles underlying living systems and the flow of communication signals between living and artificial systems. Biomimetics is the development of novel technologies through the distillation of principles from the study of biological systems. The investigation of biomimetic systems can serve two complementary goals. First, a suitably designed and configured biomimetic artefact can be used to test theories about the natural system of interest. Second, biomimetic technologies can provide useful, elegant and efficient solutions to unsolved challenges in science and engineering. Biohybrid systems are formed by combining at least one biological component—an existing living system—and at least one artificial, newly-engineered component. By passing information in one or both directions, such a system forms a new hybrid bio-artificial entity. The theme of the conference also encompasses biomimetic methods for manufacture, repair and recycling inspired by natural processes such as reproduction, digestion, morphogenesis and metamorphosis. The following are some examples of “Living Machines” as featured at past conferences: • Biomimetic robots and their component technologies (sensors, actuators, processors) that can intelligently interact with their environments. • Active biomimetic materials and structures that self-organize and self-repair. • Nature-inspired designs and manufacturing processes. • Biomimetic computers—neuromimetic emulations of the physiological basis for intelligent behaviour. • Biohybrid brain-machine interfaces and neural implants. • Artificial organs and body-parts including sensory organ-chip hybrids and intelligent prostheses. • Organism-level biohybrids such as robot-animal or robot-human systems. ACTIVITIES The main conference will take the form of a three-day single-track oral and poster presentation programme, 20th to 22nd July 2016, hosted at Dynamic Earth, Edinburgh, Scotland. The conference programme will include five plenary lectures from leading international researchers in biomimetic and biohybrid systems, and the demonstrations of state-of-the-art living machine technologies. Agreed speakers are: *Antonio Bicchi*, University of Pisa (robotics, haptics and control systems) *Frank Hirth*, King's College London, Institute of Psychiatry (evolutionary neuroscience) *Yoshihiko Nakamura*, University of Tokyo (biomimetics in humanoids) *Thomas Speck*, Albert-Ludwigs-Universität Freiburg (plants and animals as concept generators for biomimetic materials and technologies) *Barbara Webb*, University of Edinburgh (perceptual systems; control of behaviour in insects and robots) The full conference will be preceded by up to two days of Satellite Events hosted by the School of Informatics at the University of Edinburgh. SUBMITTING TO LIVING MACHINES 2016 We invite both full papers and extended abstracts in areas related to the conference themes. All contributions will be refereed and accepted papers will appear in the Living Machines 2016 proceedings which we expect to be published in the Springer-Verlag LNAI Series. Full papers (minimum 8 pages, up to 12 pages) are invited from researchers at any stage in their career and should present significant findings and advances in biomimetic or biohybid research. More preliminary work would be better suited for short papers submission (minimum 4 pages, with a maximum of ten references and no more than three self-citations). Full papers will be accepted for either oral presentation (single track) or poster presentation. Extended abstracts will be accepted for poster presentation only. Authors of the best full papers will be invited to submitted extended versions of their paper for publication in a special issue of the Taylor & Francis journal Connection Science. Satellite events Active researchers in biomimetic and biohybrid systems are invited to propose topics for 1-day or 2-day tutorials, symposia or workshops on related themes to be held 18-19th July at the School of Informatics, University of Edinburgh. Events can be scheduled on either the 18th or the 19th or across both days. Attendance at satellite events will attract a small fee intended to cover the costs of the meeting. There is a lot of flexibility about the content, organisation, and budgeting for these events. Please contact us if you are interested in organising a satellite event! EXPECTED DEADLINES March 11th, 2016 Paper submission deadline April 29th, 2016 Notification of acceptance May 16th, 2016 Camera ready copy July 18-22 2016 Conference SPONSORSHIP Living Machines 2016 is part-sponsored by the Convergent Science Network (CSN) for Biomimetics and Neurotechnology. CSN is an EU FP7 Future Emerging Technologies Co-ordination Activity that also organises two highly successful workshop series: the Barcelona Summer School on Brain, Technology and Cognition (https://bcbt.upf.edu/bcbt15) and the Capocaccia Neuromorphic Cognitive Engineering Workshop ( https://capocaccia.ethz.ch/capo/wiki/2015) The 2016 Living Machines conference will also be hosted and co-sponsored by Heriot Watt University. Call for Sponsors. Other organisations wishing to sponsor the conference in any way and gain the corresponding benefits by promoting themselves and their products to through conference publications, the conference web-site, and conference publicity are encouraged to contact the conference organisers to discuss the terms of sponsorship and necessary arrangements. We offer a number of attractive and good-value packages to potential sponsors. ABOUT THE VENUE Living Machines 2016 will be hosted at Dynamic Earth ( http://www.dynamicearth.co.uk) a 5 star visitor attraction in the heart of Edinburgh’s historic old town, next door the Scottish Parliament and Holyrood Palace. Dynamic Earth is a visitor experience that invites you to take a journey through time to witness the story of planet Earth. Through a series of interactive exhibits, state of the art technology and even a 4D encounter you will feel the heat of a bubbling volcano, face the chill of polar ice, fly across the globe before crash landing in a tropical rainforest. Attendees at the conference will receive a discount voucher to visit the Dynamic Earth exhibit. Workshops will be held at the University of Edinburgh’s School of Informatics in George Square, a short walk from Edinburgh city centre. Organising Committee: Mark Desmulliez, Heriot Watt University (Co-chair) Tony Prescott, University of Sheffield (Co-chair) Nathan Lepora, University of Bristol (Programme Chair) Michael Mangar, University of Edinburgh (Satellite Events Chair) Anna Mura, Universitat Pompeu Fabra (Communications) Paul Verschure, Universitat Pompeu Fabra (International Steering Committee)

Jan. 11, 2016

PhD Studentship available on Computational Intelligence for Artificial Agents Cognition and Interaction

by Di Nuovo, Alessandro

Dear all, This is to announce a PhD Studentship available on Computational Intelligence for Artificial Agents Cognition and Interaction The project explores the use of Computational Intelligence techniques to simulate the human-like cognition abilities and use them to address complex real-world problems in which artificial agents should autonomously learn and interact with human beings. In particular, it investigates the novel deep learning paradigm offers a highly biologically plausible way to train neural network architectures with many layers, inspired by the hierarchical organization of the human brain. Impressive results have been obtained in several areas, where deep learning architectures have outperformed state-of-the-art algorithms on various tasks, such as computer vision, automatic speech recognition, natural language processing, and human action recognition. the position advertised within the SHU VC & ACES Graduate Teaching Assistant (GTA) PhD Scholarship Schemes 2016 (Project n. 6 in Computing and Informatics). Deadline for the application is 29th of January 2016. Please follow the link below for more information. http://www.shu.ac.uk/ad/studentships/ which has general information on the types of scholarships available, eligibility criteria and profiles of 2015 VC scholars (the landing page can also be found by clicking on the featured link on the SHU website home page). From the landing page, applicants can then click through to more detailed application information, according to discipline. Note that students are chosen in competition with students who choose projects in other fields, which means that we would particularly encourage strong applicants with very good academic marks and previous research experience to apply. All applicants are encouraged to contact a prospective supervisor before submitting an application. If you are interested on the project, please contact the project lead: Dr Alessandro Di Nuovo (a.dinuovo(a)shu.ac.uk)

Jan. 11, 2016

CNS*2016 Call for Workshop Proposals

by Thomas Nowotny

CNS 2016 Jeju, South Korea: Call for Workshops We are requesting proposals for workshops from the international community of computational neuroscientists. Proposals from all levels of faculty as well as advanced postdoctoral fellows are welcome. This is a great opportunity to organize a small meeting with just a few of the headaches of actually organizing it. Workshop proposal submission instructions for CNS 2016 The last two days (July 6-7) of the 25th annual CNS meeting will be devoted to workshops, in which computationally related neuroscience topics can be presented and discussed. Workshops can be anywhere between one half to two days in duration. Usually several speakers are invited to introduce a unifying theme, but ample time for discussion should also be planned. Submit workshop proposals to: workshops(a)cnsorg.org<mailto:workshops@cnsorg.org>. The Past Meetings page<http://www.cnsorg.org/past-meetings> gives access to archives of workshops held at previous CNS meetings. The proposal should be submitted as a Word or pdf file and MUST include the following sections: 1. Workshop Title 2. Organizers (list primary organizer first; include affiliations and emails) 3. Duration (half day, one or two days, there are 2 sessions per day) 4. Number of expected speakers 5. Brief Description (~150 words; if possible, say why this is significant or timely) 6. Speakers (mark expected or confirmed) Also please note the following rules which were approved by the OCNS Board on July 15, 2013: * Each individual can be the organizer or co-organizer of only one workshop. * The number of confirmed speakers is one of the criteria for accepting the proposal. * Overlapping proposals may be asked to be combined. If the organizers do not wish to combine the proposals, only one of the proposals may be accepted. Workshops submitted before January 31, 2016 will be given priority in acceptance. Workshop proposals arriving after January 31, 2016 will be evaluated based on remaining space for additional workshops. No further workshop acceptances are anticipated after May 15, 2016. We are looking forward to your submissions. Thomas Nowotny, Workshop Organizer CNS*2016 -- Prof. Thomas Nowotny CCNR, Sussex Neuroscience Phone: +44-1273-678593 Engineering and Informatics Fax: +44-1273-877873 University of Sussex Falmer, Brighton BN1 9QJ http://sussex.ac.uk/informatics/tnowotny

Jan. 11, 2016

CfP - MLUB 2016 - International Workshop on Machine Learning for Understanding the Brain

by Emre Akbas

Please accept our apologies if you receive multiple copies of this call. 1st International Workshop on Machine Learning for Understanding the Brain, MLUB 2016 June 28-29 2016, Ankara, Turkey http://mlani.ceng.metu.edu.tr/ * Call for papers: International Workshop on Machine Learning for Understanding the Brain (MLUB) welcomes original and unpublished work on theory, systems, algorithms and applications related to Machine Learning and understanding techniques for modeling and analysis of brain in various modalities, such as, fMRI, sMRI, EEG, MEG, fNIRS. The workshop focuses on but is not limited to the following topics: - Learning and inference on neuroimaging data - Cognitive state classification - Functional Connectivity - Sparse Techniques - Multimodal Learning - Multi-Subject Learning - Efficient Algorithms for Large-Scale Data - Brain Network Embedding - Cognitive Computing - Software Simulation of the Brain - Pattern and Object Recognition - Cognitive Machine Learning - Modeling - Vision Models of the Brain - Memory Model of the Brain - Neural Models of the Brain - Visualization - High-Dimensional Neuroimaging Data Visualization - Brain Network Visualization - Network Summarization - Applications - Resting-State Data Analysis - Task-Based Data Analysis - Diagnosis of Diseases - Brain Computer Interface We call for paper contributions with a maximum length of 4 pages (double-column, IEEE style, PDF) for review. Accepted submissions will be assigned to one of the oral sessions. Every accepted submission has to be presented at the workshop by one of the paper's authors. All accepted and presented submissions will be included in the workshop proceedings and will be published by IEEE Xplore. * Important dates: Paper submission deadline: February 26, 2016 Notification of acceptance: March 22, 2016 Camera ready Submission: March 29, 2016 Workshop: June 28-29, 2016 * Executive Committee Fatos T. Yarman Vural (Middle East Technical University) Tulay Adali (University of Maryland, Baltimore County) Enis Cetin (Bilkent University) Haluk Bingol (Bogazici University) Huseyin Boyaci (Bilkent University) * Technical Program Chairs Sinan Kalkan (Middle East Technical University) Emre Akbas (Middle East Technical University) Mete Ozay (Tohoku University) * For more information: http://mlani.ceng.metu.edu.tr/

Jan. 11, 2016

TENURE TRACK POSITION IN QUANTITATIVE LIFE SCIENCES AT ICTP, TRIESTE ITALY

by Matteo Marsili

TENURE TRACK POSITION IN QUANTITATIVE LIFE SCIENCES AT THE ABDUS SALAM INTERNATIONAL CENTRE FOR THEORETICAL PHYSICS (ICTP). ICTP is seeking applicants for a new tenure track position in its recently established Quantitative Life Sciences (QLS) research section. We're seeking young brilliant researchers in Quantitative Biology, Systems and Computational Neuroscience or Quantitative Ecology and Evolutionary Biology. The successful applicant will play a significant role the QLS section, promoting cutting-edge research in his/her field of expertise. Detailed description of the position is given below. For further information, please contact qls(a)ictp.it or visit our website www.ictp.it The deadline is 17 February 2016. ICTP, based in Trieste, Italy, provides a top class multi-disciplinary research environment in theoretical sciences, with cutting edge research, education and training, and it has been a driving force behind global efforts for the advancement of science in the developing world. --------------------------------------------------------- Post Title: Research Officer Domain: Quantitative Life Sciences Grade : P-2 Organizational Unit: ICTP Primary Location: Trieste, Italy Recruitment open to: Internal and external candidates Type of contract: Project Appointment (PA) Annual salary: $ 65,877 Deadline (midnight, Trieste time): 17 February 2016 How to apply http://www.ictp.it/about-ictp/personnel-office/employment.aspx OVERVIEW OF THE FUNCTIONS OF THE POST Under the direct supervision of the Senior Researcher of the Quantitative Life Sciences (QLS) Section the incumbent will initiate and undertake world-class research in the field of Quantitative Life Sciences and assist in the planning and implementation of the scientific activities of the section and in the fulfilment of the Centre's mission. Essential responsibilities include:  Undertake front-line research in the fields of Quantitative Biology, Systems and Computational Neuroscience, Quantitative Ecology and Evolutionary Biology.  Organization of seminars, schools, workshops, conferences and topical meetings, and selection of participants.  Review the applications for postdoctoral work and Associateships, and short-term and long-term visits.  Teach, as required, in Diploma Course Programs. Collaborate, as appropriate, with the Associates as well as other visitors to the Centre, especially those from developing countries.  Additional activities that may be required to ensure the success of the Section's work. REQUIRED QUALIFICATIONS EDUCATION  PhD in Physics or areas related to Quantitative Life Sciences. WORK EXPERIENCE  At least 2 years of relevant professional experience after the PhD.  Documented record of excellence in research. SKILLS/COMPETENCIES  Ability to work in a multicultural environment and as part of a team. LANGUAGES  Excellent knowledge of English. BENEFITS AND ENTITLEMENTS This is an extra-budgetary position classified as a project appointment with an intended medium term period of employment (5 years). Although having staff member status and enjoying the same benefits, the incumbent will be considered an external applicant if later applying for a regular post. For this post, the net annual remuneration will start at US$ 65,877 and is exempt from income tax. UN Pension plan and medical insurance are provided. HOW TO APPLY Candidates should apply through the website http://www.ictp.it/about-ictp/personnel-office/employment.aspx In addition, candidates should send a curriculum vita and list of publications to the ICTP Personnel Office (email: personnel_office(a)ictp.it) and should arrange to have three letters of recommendation sent directly by their referees to the ICTP Personnel Office by means of a scanned document topersonnel_office(a)ictp.it, email address of the ICTP Personnel Office, or by fax to +39-040-22407593, clearly indicating in the subject line "Research Officer post in the QLS Section" and the candidate's name.

Jan. 8, 2016

Data Science Engineer

by paulo rodrigues

Dear colleagues, Mint Labs <http://www.mint-labs.com> is looking to fill a R&D position on data science. Mint Labs is a multi-disciplinary science and engineering start-up. The company's mission is to develop technologies to better understand the human brain and the diseases that affect it. Our primary focus is on neuroimaging methods, including MRI, that yield insights into the living brain. *Context* You thrive on the idea of using tools that aid the communication of results such as Ipython notebooks? You are not satisfied with how computational science is currently being done and have ideas on how to make it more effective at curing diseases? You enjoy interacting with new groups of people and are comfortable communicating with dozens to hundreds of scientists? The challenge is to develop analysis systems for multidimensional medical datasets that include imaging. Mint Labs is a SaaS platform that focus on integrating diverse clinical, imaging, genomic, and other data to better evaluate disease progression and response to interventions. *Objectives of the position* - Support the interaction with several external research partners and clients to develop both bioinformatics analysis and visualizations on data in collaboration with neurologists, statisticians and other bioinformaticians. - Work with the newest technologies in data analysis and -omics data. - Create web-accessible records that are reproducible and re-usable of all your analysis. - Work with our software team that develops the web platform to communicate requirements and features for product development. - Automate the execution of new analysis methods using scripting and statistical programming. - Assist in the evaluation and implementation of data and imaging curation tools. - Develop practical methods for non-programmers to communicate reproducible results by integrating new and existing tools into our platform - Detect, model and normalize batch and experimental artifacts in experimental data. *Desired profile, Skills* - You have experience working within a team of scientists, statisticians and software engineers to compile and format large, high-dimensional data sets for downstream analysis. - You have software development experience, including strong programming skills in a high-level language especially Python, R and/or matlab. Experience with Linux shell scripting recommended. - Ideally, you would be experienced with developing advanced ipython notebooks or other interactive frameworks. - Ideally, you are familiar with neuroimaging data types such as anatomical data, diffusion or functional imaging. - You have a graduate degree in a quantitative field such as engineering, applied math, computer science, bioinformatics etc or are an exceptional undergraduate with bioinformatics experience. *A great R&D environment* We're a growing, product-centric team located in Barcelona Spain. We strive on solving hard problems with creative solutions, and have fun during the process - after all we are in Barcelona. As an engineer on our team, you'll tackle the challenges that arise as we build a large-scale system for data processing and distribution. The scale at which our systems must operate requires highly-performing algorithms and data structures. Solving complex distributed systems and ensuring data security are essential. We're looking for independent thinkers with a deep understanding of the problems we are solving who are not afraid to significantly influence how this system is improved. We hire for people, not roles -- if you don't see an interesting job description but believe that you can add value to Mint Labs, we would love to hear from you. In addition, the researcher/engineer will interact closely with top researchers worldwide, using our platform. ***Contact**: * team(a)mint-labs.com, paulo(a)mint-labs.com ***Application**: * Interested candidate should send CV and motivation letter ᐧ

Jan. 8, 2016

Neuroimaging Engineer opportunity

by paulo rodrigues

Dear colleagues, Mint Labs <http://www.mint-labs.com> is looking to fill a R&D position on neuroimaging processing. Mint Labs is a multi-disciplinary science and engineering start-up. The company's mission is to develop technologies to better understand the human brain and the diseases that affect it. Our primary focus is on neuroimaging methods, including MRI, that yield insights into the living brain. *Context* The challenge is to develop analysis systems for multidimensional medical datasets that include imaging. Mint Labs is a SaaS platform that focus on integrating diverse clinical, imaging, genomic, and other data to better evaluate disease progression and response to interventions. You thrive in analyzing data, developing pipelines to process imaging data, and integrate multiple data points into meaningful group conclusions? You are experienced in volumetric, diffusion, rs-fMRI studies, and are not shy about Python, bash, R or whatever tool fits the work? *Objectives of the position* The position hinges on processing of very large databases. Important novelties of the project are: - Building predictive models to discriminate multiple pathologies in large inhomogeneous datasets. - Using and improving advanced connectomics and brain-parcellation techniques in dMRI / fMRI. - Support the interaction with several external research partners and clients to develop neuroimaging analysis *Desired profile* We are looking for a doctoral or post-doctoral fellow to hire in beginning of 2016. The ideal candidate would have some, but not all, of the following expertise and interests: - Experience in advanced processing of MRI, dMRI and fMRI - General knowledge of brain structure and function - Good communication skills to write high-impact neuroscience publications - Good computing skills, in particular with Python. Cloud computing experience is desired. *A great R&D environment* We're a growing, product-centric team located in Barcelona Spain. We strive on solving hard problems with creative solutions, and have fun during the process - after all we are in Barcelona. As an engineer in our team, you will tackle the challenges that arise as we build a large-scale system for data processing and distribution. The scale at which our systems must operate requires highly-performing algorithms and data structures. Solving complex distributed systems and ensuring data security are essential. We are looking for independent thinkers with a deep understanding of the problems we are solving who are not afraid to significantly influence how the system can be improved. We hire for people, not roles -- if you don't see an interesting job description but believe that you can add value to Mint Labs, we would love to hear from you. In addition, the post-doc will interact closely with top researchers worldwide, using our platform. ***Contact**: * team(a)mint-labs.com, paulo(a)mint-labs.com ***Application**:* Interested candidate should send CV and a motivation letter

Jan. 8, 2016

PhD position in computational neuroscience: Identification of Metastable Cortical Dynamics Underlying Cognitive Decisions (Bournemouth University-IDIBAPS)

by Emili Balaguer-Ballester

PhD position in Computational Neuroscience 'Identification of Metastable Cortical Dynamics Underlying Cognitive Decisions' (Bournemouth University-IDIBAPS Barcelona) A PhD position is available in 3-years fully-funded project 'Identification of Metastable Cortical Dynamics Underlying Cognitive Decisions'; based at Bournemouth University (UK) https://research.bournemouth.ac.uk/centre/interdisciplinary-neuroscience-re… and at the Biomedical Research Institute August Pi I Sunyer (IDIBAPS, http://www.idibaps.org/en_index.htm, University of Barcelona, Spain). Do we have analysis tools for a reliable identification of the dynamical processes underlying decision-making? This is a fundamental question, touching the very basics of our understanding of neural computation and hence one of the most exciting topics in neuroscience. However, to reconstruct in detail neural dynamics generating cognitive decisions is a major challenge for current methodologies. This would be a highly significant advance; for instance the identification of stable dynamical patterns of activity in hippocampus deserved to win the last Nobel Prize. The aim of the project is to develop innovative approaches designed for the identification of metastable dynamics underlying cognitive decisions. We aim for the fusion of statistical learning approaches to pattern discovery with methods for identifying neural attractor dynamics and neurocomputational modelling. The novel approach will reconstruct neural dynamics during tasks specifically designed at Sanchez-Vives Lab in rodents and in human subjects at the Bournemouth EEG lab. The training possibilities that this interdisciplinary project offers are multiple and relevant in building-up a high-profile as a neuroscientist. The student will benefit from the vibrant scientific environment of neural computation and neurosciences at BU https://research.bournemouth.ac.uk/centre/interdisciplinary-neuroscience-re… and at the cortical networks lab; embedded in the renowned systems neuroscience network in Barcelona http://www.sanchez-vives.org/. Applicants holding a degree in Physics, Mathematics, Engineering, Computer Science or similar disciplines are welcome. Interest or previous training in neuroscience or laboratory experience and a strong mathematical (dynamical systems, partial differential equations) or machine learning background would be very welcome. The researcher would be based at the Faculty of Science, Bournemouth University, and work with Dr Balaguer-Ballester at the Computational Neuroscience laboratory in the context of the interdisciplinary group for neurosciences; and would spend prolonged periods of time in the Cortical Networks Lab (IDIBAPS, Barcelona) led by Prof Maria Victoria Sanchez-Vives; providing an outstanding opportunity to gain a diverse experience of both neuro-computational and experimental approaches. For formally applying and more information please visit https://research.bournemouth.ac.uk/pgr/funded-phd-studentships-in-the-facul… The deadline is on the 29th of February, 2016 BU is a Disability Two Ticks Employer and has signed up to the Mindful Employer charter. Information about the accessibility of University buildings can be found on the BU DisabledGo webpages This email is intended only for the person to whom it is addressed and may contain confidential information. If you have received this email in error, please notify the sender and delete this email, which must not be copied, distributed or disclosed to any other person. Any views or opinions presented are solely those of the author and do not necessarily represent those of Bournemouth University or its subsidiary companies. Nor can any contract be formed on behalf of the University or its subsidiary companies via email.

Jan. 8, 2016

ECCV 2016 Workshops: Call for Proposals

by Hamdi Dibeklioglu

ECCV 2016 Workshops: Call for Proposals Important dates Proposal Deadline: Tuesday, March 1st, 2016 Notification: Friday, April 1st, 2016 Workshop dates: Saturday 8th, Sunday 9th, Sunday 16th, October 2016 Call for proposal We solicit proposals for workshops that will be held together with the 14th European Conference on Computer Vision (ECCV’2016). Workshops will take place on October 10th, 11th and 16th at the same venue as the main conference. We welcome proposals on emerging topics that are anticipated not able to be fully explored in the main conference. The purpose of workshops is to provide a comprehensive forum and encourage in-depth discussion of various technical and application issues in our research field. Workshop registration, venue, as well as proceedings will be handled as part of the main conference by the ECCV organizers. Since both space and time are limited, we expect the selection process to be competitive. The topic coverage, the proposers’ credential, the interested audience, and relevance of the topic will all be considered in the selection process. Proposers may be asked to provide additional information, modify part of the proposals, or combine with another one. Since the camera-ready deadline is set to be July 25, 2016, the proposers must come with a submission/review schedule that meets this deadline. Note this year, the ECCV workshops will be coordinated together with the ACM International Conference on Multimedia. So please specifically address in your proposal if your workshop would of interest to the Multimedia research community. Submission guidelines Proposals should be submitted by email to workshops(a)eccv2016.org by March 1st 2016. The candidate workshop organizers will be notified of the decision on April 1st. Proposals should be in PDF format and include the following information: · Workshop title. · Proposers' names, titles, affiliations, and primary contact email. · Topics that will be covered. · Relevance to the computer vision community · Relevance to the multimedia community · Experience that make the proposers well suited for organizing the workshop. · Rough program outline (including preference for half- or full-day event, estimated numbers of orals, posters, and invited talks). · Names and bios of any tentative/confirmed invited speakers · Anticipated target audience as well as expected number of attendees. · Description of how this proposal relates to previous workshops at CVPR/ICCV/ECCV (be as specific as possible). · Any special space or equipment requests. Contact For any questions, please contact the workshop chairs via workshops(a)eccv2016.org Gang Hua Hervé Jegou http://www.eccv2016.org/

Jan. 8, 2016

PhD training opportunity in Systems Neuroscience - London

by Adam Kampff

Dear colleagues, The Sainsbury Wellcome Centre <http://www.ucl.ac.uk/swc/about> for Neural Circuits and Behaviour (SWC) is a new institute funded by the Gatsby Charitable Foundation and the Wellcome Trust. Located within University College London, the SWC combines advanced molecular, optical, physiology and behaviour approaches to investigate how brain circuits create neural representations and guide behaviour. We are excited to announce a new programme for exceptional PhD candidates. SWC studentships are open to UK and international applicants and cover research expenses, full payment of tuition fees and provide a competitive tax-free stipend in line with the Wellcome Trust stipend scale. SWC PhD students will receive intensive training in experimental techniques, and in conjunction with the Gatsby Computational Neuroscience Unit (co-located with SWC), the programme will provide a comprehensive introduction to theoretical and systems neuroscience. Applicants should have a strong scientific and analytical background, a keen interest in neuroscience, and a relevant first degree. *Application deadline is January 31st, 2016* Enquires should be sent to swc-admissions(a)ucl.ac.uk Full details of our programme, and how to apply, are available here: http://www.ucl.ac.uk/swc/phd The research interests of the SWC group leaders are described here: http://www.ucl.ac.uk/swc/research Sincerely, Adam Kampff Yoh Isogai Troy Margrie Andrew Murray John O'Keefe

Jan. 8, 2016