- Comp-neuro - lists.cnsorg.org

Call for Applications: ISSA Summer School 2017

by Yukie Nagai

Call for Applications: ISSA Summer School 2017 https://groups.oist.jp/issa Date: May 22nd – June 2nd, 2017 Venue: Center for Information and Neural Networks (CiNet), Osaka, Japan https://cinet.jp/english/contact/ The Initiative for a Synthesis in Studies of Awareness, ISSA for short, is a group of scientists advocating an integrative approach to the study of consciousness and intelligence. ISSA will organize a two-week Summer School, with lectures covering a variety of topics in experimental and computational neuroscience, cognitive science, philosophy, complex systems, robotics and artificial intelligence. Following the lectures in the morning, students will engage in group disucussions and hand-on exercises in psychophysics, MRI, MEG, and robotics in the afternoon. First week: Fundamental lecturers and group discussions • Christof Koch (Allen Institute for Brain Science) • Ryota Kanai (ARAYA Brain Imaging, YHouse) • Larissa Albantakis (U Wisconsin-Madison) • Dan Zahavi (U Copenhagen) • Jun Tani (KAIST) Second week: Special topics and hands-on exercises • Kaoru Amano (CiNet) • Minoru Asada (Osaka U) • Kenji Doya (OIST) • Piet Hut (Institute for Advanced Study, ELSI, YHouse) • Hiroshi Ishiguro (Osaka U, ATR) • Shinji Nishimoto (CiNet) • Mariko Osaka (CiNet) • Nao Tsuchiya (Monash U) • Noriko Yamagishi (CiNet) Application: We invite graduate students and postdoctoral researchers to participate in the summer school. Organizers will provide lodging for all accepted students and travel support for selected students. The applications will be open till December 25, 2016 from the web site (https://groups.oist.jp/issa) The result of selection, based on the research interest, educational background, and the balance of gender and geographic origins, will be notified by February 2017. Co-Sponsors • Center for Information and Neural Networks (CiNet) • CREST Artificial Consciousness Project (leader: Ryota Kanai) • CREST Social Neuroscience Project (leader: Masahiko Haruno) • Earth-Life Science Institute (ELSI), Tokyo Institute of Technology • KAKENHI Mental Time Project (leader: Shigeru Kitazawa) • KAKENHI Artificial Intelligence and Brain Science Project (leader: Kenji Doya) • Okinawa Institute of Science and Technology (OIST) • YHouse (leaders: Piet Hut and Ryota Kanai) Web site: https://groups.oist.jp/issa Contact: Neural Computation Unit, Okinawa Institute of Science and Technology ncus (at) oist.jp — Yukie Nagai, Ph.D. Specially Appointed Associate Professor, Osaka University Visiting Researcher, Bielefeld University yukie(a)ams.eng.osaka-u.ac.jp http://cnr.ams.eng.osaka-u.ac.jp/~yukie/

Dec. 21, 2016

The Fruit Fly Brain Observatory (FFBO)

by Aurel A. Lazar

We would like to announce that we have released a unique open source platform for investigating fruit fly brain function, in both healthy and diseased brains. Our early version of the FFBO is at: http://fruitflybrain.org <http://fruitflybrain.org/> The Fruit Fly Brain Observatory (i) integrates within a single database, genetic, anatomical, neurophysiological data with computational models. It provides location, morphology, connectivity and biophysical properties of every neuron, (ii) is equipped with powerful executable tools for circuit generation, numerical simulation and user-friendly query and visualization, (iii) automatically generates models of the fly brain that can be simulated efficiently using multiple Graphics Processing Units. There are three main features of the FFBO: NeuroNLP, NeuroGFX and NeuroAPPs. NeuroNLP is natural language user interface for querying the NeuroArch fly brain database. NeuroGFX is a programming interface that automatically translates biological and modeling data into executable code that can be run on a local or cloud-based GPU servers. NeuroAPPs host integrated healthy and diseased models applications of the fruit fly brain. Our project The Fruit Fly Brain Observatory http://fruitflybrain.org <http://fruitflybrain.org/> is one of six finalists in the Open Science Prize Competition https://www.openscienceprize.org <https://www.openscienceprize.org/>. We are a collaborative effort between Columbia University, National Tsing Hua University in Taiwan, and University of Sheffield, UK. It would be great if you can let people know about the competition and get them to hopefully vote for us at http://event.capconcorp.com/wp/osp/ <http://event.capconcorp.com/wp/osp/> :-) Aurel http://www.bionet.ee.columbia.edu <http://www.bionet.ee.columbia.edu/>

Dec. 20, 2016

[CALL FOR PAPERS ]The 2017 International Conference on Brain Informatics (BI'17)

by 张铁林

[CALL FOR PAPERS]The 2017 International Conference on Brain Informatics (BI'17), Informatics Perspective of Investigation on the Brain and Mind Conference Data: November 16-18, 2017, Beijing, China Conference Homepage: http://bii.ia.ac.cn/bi-2017/ Homepage Mirror: http://wi-consortium.org/conferences/bi-2017/ (FULL PAPER SUBMISSION DEADLINE: April 2, 2017) ================ ***Conference Introduction *** Brain Informatics (BI) conference series provides a premier forum to bring together researchers and practitioners in the fields of neuroscience, cognitive science, computer science, data science, artificial intelligence, information communication technologies, and neuroimaging technologies. BI'17 addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics, as well as topics relating to mental health and well-being. It also welcomes emerging information technologies, including but not limited to Internet/Web of Things (IoT/WoT), cloud computing, big data analytics and interactive knowledge discovery related to brain research. BI'17 also encourages submissions that explore how advanced computing technologies are applied to and make a difference in various large-scale brain studies and their applications. BI'17 welcomes paper submissions (full paper and abstract submissions). Both research and application papers are solicited. All submitted papers will be reviewed on the basis of technical quality, relevance, significance and clarity. Accepted full papers will be included in the proceedings by Springer LNCS/LNAI. Workshop, Special-Session and Tutorial proposals, and Industry or Demo-Track papers are also welcome. The organizers of Workshops and Special-Sessions are invited to prepare a book proposal based on the topics of the workshop/special session for possible bookpublication in the Springer-Nature Brain Informatics & Health book series. ================ *** Topics and Areas *** Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Investigations of Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Track 5: Brain-Inspired Intelligence and Computing ================ *** Important Dates*** March 10, 2017: Submission for workshop/special-session proposals March 30, 2017: Notification of workshop/special-session proposal acceptance April 2, 2017: Submission deadline for full papers May 20, 2017: Submission deadline for workshop/special-session papers June 10, 2017: Notification of full paper acceptance June 20, 2017: Notification of workshop/special-session paper acceptance June 20, 2017: Submission deadline for abstracts July 10, 2017: Notification of abstract acceptance November 16, 2017: Tutorials, workshops and special-sessions November 17-18, 2017: Main conference ================ *** Post-Conference Journal Publication *** The Brain Informatics conferences have the formal ties with Brain Informatics journal (Springer-Nature, http://www.springer.com/40708) Accepted papers from the conference, including their Best Paper Award papers, will be expended and revised for possible inclusion in the Brain Informatics journal each year. It is fully sponsored and no any article-processing fee charged for authors of Brain Informatics conference. ================ *** Awards *** Best Paper awards will be conferred at the conference on the authors of (1) the best research paper and (2) the best student paper. ================ *** Organizers*** General Chairs Bo Xu (Chinese Academy of Sciences, China) Hanchuan Peng (Allen Institute for Brain Sciences, USA) Qingming Luo (Huazhong University of Science and Technology, China) Program Committee Chairs Yi Zeng(Chinese Academy of Sciences, China) Yong He(Beijing Normal University, China) Jeanette Kotaleski (Karolinska Institute, Sweden) Maryann Martone (University of California, San Diego, USA) Organizing Chairs Ning Zhong (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China Jianzhou Yan (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Shengfu Lu (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Workshop/Special-Session Chairs An'an Li (Huazhong University of Science and Technology, China) Sen Song (Tsinghua University, China) Tutorial Chair Wenming Zheng (South East University, China) Publicity Chairs Shouyi Wang (University of Texas at Arlington, USA) Yang Yang (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Tielin Zhang (Chinese Academy of Sciences, China) Steering Committee Chairs Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) ================ *** Contact Information *** tielin.zhang(a)ia.ac.cn shouyiw(a)uta.edu yang(a)maebashi-it.org ================ (END)

Dec. 19, 2016

PhD positions at the University of Exeter: Developing gaze training for skilled upper-limb prosthetic use Ref: 2407

by Tsaneva-Atanasova, Krasimira

About the award This project is one of a number which are funded by the Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Partnership to commence in September 2017. This project is part of a competition for funding. Usually the project which receives the best applicant will be awarded the funding. The studentships will provide funding for a stipend which, is currently £14,296 per annum for 2016-2017, research costs and UK/EU tuition fees at Research Council UK rates for 42 months (3.5 years) for full-time students, pro rata for part-time students. Please note that of the 56 projects advertised we expect that up to 20 posts will be filled. Location: University of Exeter, Streatham Campus, Exeter, Devon Supervisors: Main supervisor: Prof Krasimira Tsaneva-Atanasova<http://emps.exeter.ac.uk/mathematics/staff/kt298> (University of Exeter) Co-supervisor: Dr Gavin Buckingham<http://sshs.exeter.ac.uk/staff/index.php?web_id=Gavin_Buckingham> (University of Exeter) Co-supervisor: Dr Sam Vine<http://sshs.exeter.ac.uk/staff/index.php?web_id=Samuel_Vine> (University of Exeter) Co-supervisor: Dr Greg Wood<http://www.cheshire.mmu.ac.uk/exspsci/ourstaff/profile/index.php?profile_id…> (Manchester Metropolitan University) Co-supervisor: Dr Mark Wilson<http://sshs.exeter.ac.uk/staff/index.php?web_id=Mark_Wilson> (University of Exeter) Project Description: Learning to use a prosthetic limb is inherently difficult and requires a huge amount of concentration. Like learning how to wield a new tool for the first time, amputees need to acquire the confidence and dexterity required for skilled action. In order to produce accurate goal-directed movements the motor system requires accurate and timely visual information making the timing and location of the person’s gaze, with relation to the movement of their limbs, critical for skilled behaviour. There is, however, no structured training protocol for use with prosthetic hands. We aim to develop a novel gaze training regime to facilitate the use of a prosthetic hand to skilfully interact with objects. In the first part of the project, the student will undertake an observational study to determine what factors lead some individuals to become skilled with a prosthesis faster than others. We will test large numbers of intact (i.e., without amputation) participants learning to use a state-of-the-art myoelectric prosthetic arm simulator, which is controlled by muscle feedback but ergonomically designed to fit over the wrist of an intact hand. Participants will move objects of different of sizes and weights from one location to another with a range of precision requirements and in the presence of a range of obstacles. Over multiple sessions we will measure hand and object kinematics, fingertip forces, and eye path with a head-mounted eye tracker. We will then develop a data-driven mathematical model of the eye tracking and biomechanical performance data. Statistical analysis of the patterns of eye movement will provide new insights into the ‘signature’ of good performance using the prosthetic arm. The second phase will use the data from Project 1 to develop a training protocol that will adopt the ‘expert signatures’ from project work 1 as a prototype for a trainee to follow. We will focus predominantly on the signature of expertise derived from the gaze behaviour measures and implement a gaze training protocol. We will then test the efficacy of this novel training with new set of intact participants using the prosthetic simulator, tracking their performance in comparison to individuals who will receive a sham training protocol. In the final stage of the project work, the gaze training protocol will be used in a sample of upper-limb-amputees as they learn how to use their new prosthesis. As this state of the project will not be limited to myoelectric prosthetic users, this will also allow us to test the generalizability of our training protocol. The students will be involved in these experiments by running model simulations and data analysis to provide quantitative information for the training protocol as well as focussing on completing the write-up of their PhD thesis. Entry requirements: Applicants should have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK. Applicants with a Lower Second Class degree will be considered if they also have Master’s degree. Applicants with a minimum of Upper Second Class degree and significant relevant non-academic experience are encouraged to apply. All applicants would need to meet our English language requirements by the start of the project http://www.exeter.ac.uk/postgraduate/apply/english/. The majority of the studentships are available for applicants who are ordinarily resident in the UK and are classed as UK/EU for tuition fee purposes. If you have not resided in the UK for at least 3 years prior to the start of the studentship, you are not eligible for a maintenance allowance so you would need an alternative source of funding for living costs.To be eligible for fees only funding you must be ordinarily resident in a member state of the EU Applicants who are classed as International for tuition fee purposes are not eligible for funding. Summary Application deadline: 11th January 2017 Number of awards: 1 Value: 3.5 year studentship: UK/EU tuition fees and an annual maintenance allowance at current Research Council rate. Current rate of £14,296 per year Duration of award: per year Contact: Doctoral College Doctoral.College(a)exeter.ac.uk<mailto:Doctoral.College@exeter.ac.uk> How to apply Click here to apply<http://www.exeter.ac.uk/postgraduate/money/funding/application/> Please be aware you will be asked to upload the following documents: • CV • Letter of application outlining your academic interests, prior research experience and reasons for wishing to undertake the project. • Transcript(s) giving full details of subjects studied and grades/marks obtained. This should be an interim transcript if you are still studying. • If you are not a national of a majority English-speaking country you will need to submit evidence of your current proficiency in English. For further details of the University’s English language requirements please see http://www.exeter.ac.uk/postgraduate/apply/english/. The closing date for applications is midnight on 11 January 2017. Interviews will be held at the University of Exeter between 13 February and 17 February 2017. If you have any general enquiries about the application process please email Doctoral.College(a)exeter.ac.uk<mailto:Doctoral.College@exeter.ac.uk> or phone +44 (0)1392 722311. Project-specific queries should be directed to the supervisor. During the application process, the University may need to make certain disclosures of your personal data to third parties to be able to administer your application, carry out interviews and select candidates. These are not limited to, but may include disclosures to: • the selection panel and/or management board or equivalent of the relevant programme, which is likely to include staff from one or more other HEIs; • administrative staff at one or more other HEIs participating in the relevant programme. Such disclosures will always be kept to the minimum amount of personal data required for the specific purpose. Your sensitive personal data (relating to disability and race/ethnicity) will not be disclosed without your explicit consent. Krasimira Tsaneva-Atanasova Professor of Mathematics for Healthcare Department of Mathematics College of Engineering, Mathematics and Physical Sciences University of Exeter Exeter, Devon, EX4 4QF, UK tel: +44 (0) 1392 723615 email: k.tsaneva-atanasova(a)exeter.ac.uk<mailto:k.tsaneva-atanasova@exeter.ac.uk> web: http://emps.exeter.ac.uk/mathematics/staff/kt298

Dec. 17, 2016

PhD positions at the University of Exeter: Controlling noise effects in models of excitable cells

by Tsaneva-Atanasova, Krasimira

About the award This project is one of a number which are funded by the Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Partnership to commence in September 2017. The studentships will provide funding for a stipend which, is currently £14,296 per annum for 2016-2017, research costs and UK/EU tuition fees at Research Council UK rates for 42 months (3.5 years) for full-time students, pro rata for part-time students. Supervisors: Main supervisor: Prof Krasimira Tsaneva-Atanasova<http://emps.exeter.ac.uk/mathematics/staff/kt298> (University of Exeter) Co-supervisor: Dr Jan Sieber<http://emps.exeter.ac.uk/mathematics/staff/js543> (University of Exeter) Co-supervisor: Dr Joël Tabak<http://medicine.exeter.ac.uk/about/profiles/index.php?web_id=Joel_Tabak-Szn…> (University of Exeter) Location: University of Exeter, Streatham Campus, Exeter, Devon Project Description: This is a project that combines biological modelling and general mathematical analysis of the influence of noise on multiple-timescale systems. It will give the student the opportunity to work on open mathematical questions and see their results applied in experiments on living cells. Many types of cells such as neurons, heart and hormone-releasing cells generate impulses of electrical activity, organized as single spikes or bursts of impulses. In cells of the pituitary gland – the master hormonal gland of the body – the features of electrical activity patterns determine how much hormone is released into the circulation. Hence, understanding how the characteristic features of electrical activity arise is crucial to understanding how these cells function, and how they may malfunction in disease. Mathematical modelling and analysis techniques have proven very successful in helping unravel fundamental mechanisms controlling the behaviour of excitable cells. Electrical activity is driven by the interactions between ion channels of the cell membrane, which produce noisy electrical currents. The mathematical models of electrical activity thus contain random and deterministic parts, which typically appear as separate terms (e.g., the deterministic drift and the Brownian-motion induced diffusion in stochastic differential equations). In experimental practice this distinction is not as clear. For example, ion channels in cells with electrical activity generate noisy signals, driving systematically the electrical and chemical activity in the cell, which operate also on several time scales. It is still unclear how this randomness influences electrical activity in real cells. This PhD project will investigate how one can use control to identify the systematic (deterministic) component of trajectories in dynamical systems with random inputs (such as ion channel noise) that operate on two or three different time scales (such as spiking or bursting cells). A first goal to separate a systematic, approximately periodic, signal without knowledge of the period using control and geometric methods in a reconstructed phase space. Preliminary investigations with noise on a single time scale interacting with a two-timescale oscillation (spiking) have shown that this is in principle possible. It is an open question how this can be generalized to periodic behaviours with a more complicated geometry (such as bursting), interacting with noise effects that occur on two time scales. Another open question is how the geometric control and noise identification is related to extended time-delayed feedback, which creates a reference signal from a geometric time series of past outputs. Entry requirements: Applicants should have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK. Applicants with a Lower Second Class degree will be considered if they also have Master’s degree. Applicants with a minimum of Upper Second Class degree and significant relevant non-academic experience are encouraged to apply. All applicants would need to meet our English language requirements by the start of the project http://www.exeter.ac.uk/postgraduate/apply/english/. The majority of the studentships are available for applicants who are ordinarily resident in the UK and are classed as UK/EU for tuition fee purposes; however up to 9 fully-funded studentships across the DTP are available for EU/EEA applicants not ordinarily resident in the UK. Applicants who are classed as International for tuition fee purposes are not eligible for funding. Summary Application deadline: 11th January 2017 Value: 3.5 year studentship: UK/EU tuition fees and an annual maintenance allowance at current Research Council rate. Current rate of £14,296 per year. Duration of award: per year Contact: Doctoral College: 01392 722737 doctoral.college(a)exeter.ac.uk<mailto:doctoral.college@exeter.ac.uk> How to apply Click here to apply<http://www.exeter.ac.uk/postgraduate/money/funding/application/> Please be aware you will be asked to upload the following documents: • CV • Letter of application outlining your academic interests, prior research experience and reasons for wishing to undertake the project. • Transcript(s) giving full details of subjects studied and grades/marks obtained. This should be an interim transcript if you are still studying. • If you are not a national of a majority English-speaking country you will need to submit evidence of your current proficiency in English. For further details of the University’s English language requirements please see http://www.exeter.ac.uk/postgraduate/apply/english/. The closing date for applications is midnight on 11 January 2017. Interviews will be held at the University of Exeter between 13 February and 17 February 2017. If you have any general enquiries about the application process please email Doctoral.College(a)exeter.ac.uk<mailto:Doctoral.College@exeter.ac.uk> or phone +44 (0)1392 722311. Project-specific queries should be directed to the supervisor. During the application process, the University may need to make certain disclosures of your personal data to third parties to be able to administer your application, carry out interviews and select candidates. These are not limited to, but may include disclosures to: • the selection panel and/or management board or equivalent of the relevant programme, which is likely to include staff from one or more other HEIs; • administrative staff at one or more other HEIs participating in the relevant programme. Such disclosures will always be kept to the minimum amount of personal data required for the specific purpose. Your sensitive personal data (relating to disability and race/ethnicity) will not be disclosed without your explicit consent. Krasimira Tsaneva-Atanasova Professor of Mathematics for Healthcare Department of Mathematics Living Systems Institute University of Exeter Exeter, Devon, EX4 4QF, UK tel: +44 (0) 1392 723615 email: k.tsaneva-atanasova(a)exeter.ac.uk<mailto:k.tsaneva-atanasova@exeter.ac.uk> web: http://emps.exeter.ac.uk/mathematics/staff/kt298

Dec. 17, 2016

CfP: 18th Int. Conf. on Engineering Applications of Neural Networks

by Simone Scardapane

[Apologies if you receive multiple copies of this CFP] -------------------------------------------------------------------------- 18th Int. Conf. on Engineering Applications of Neural Networks EANN 2017 (Athens, Greece, August 25-27, 2017) Workshop submission deadline: 11th February, 2017 Paper submission deadline: 20th April, 2017 https://conferences.cwa.gr/eann2017/ -------------------------------------------------------------------------- Call for Papers -------------------------------------------------------------------------- Authors are invited to submit electronically original, English-language research contributions or experience reports not concurrently submitted elsewhere in ALL ARTIFICIAL INTELLIGENCE TOPICS! Papers should be no longer than 10 pages formatted according to the LNCS Springer style. The program committee may reject papers that exceed this length on the grounds of length alone. In the spirit of the previous EANN conferences, the paper should concentrate on the application rather than just the algorithm or the theory. Submitted papers will be refereed by at least three reviewers for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. Accepted papers will be presented at the conference and included in the proceedings, which will be published by SPRINGER CCIS “Communications in Computer and Information Science” and they will be available on site. It is important though to follow the instructions in this page to ensure that your paper will be included in the proceedings. Call for Workshops -------------------------------------------------------------------------- Proposals for Workshops that examine emerging, innovative, or otherwise provocative issues within the conference area are encouraged as well. Workshop proposals should include a 1-2 page summary of the topic and the names and affiliations of 3-4 panelists who have made a commitment to participate. https://conferences.cwa.gr/eann2017/call-for-workshops/ Areas of interest: https://conferences.cwa.gr/eann2017/areas-of-interest/ Important dates -------------------------------------------------------------------------- * Tutorial and workshops proposals: February 11th, 2017 * Notification of tutorial and workshops proposals: February 12th, 2017 * Paper submission: April 20th, 2017 * Notification of paper acceptance: May 13th, 2017 * Conference Dates: 25-27 August, 2017

Dec. 16, 2016

Call for Workshops - Bernstein Conference 2017

by Zrinka Gattin

The Bernstein Network Computational Neuroscience and the Bernstein Center Göttingen invite proposals for Satellite Workshops. Satellite Workshops will directly precede the Bernstein Conference 2017 in Göttingen. ************************************************************** *Important Dates:* _Workshops: _September 12 - 13, 2017 _Main Bernstein Conference:_ September 13 - 15, 2017 _Deadline for proposal submission:_ March 01, 2017 _Notification of workshop acceptance:_ March 27, 2017 ************************************************************** Since 2013, the Bernstein Conference hosts pre-conference workshops. They provide a stage to discuss topical research questions, novel scientific approaches and challenges in Computational Neuroscience and related fields. Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. Workshop formats should be designed to foster debate beyond a mere series of talks. The Bernstein Conference started out as the annual meeting of the Bernstein Network Computational Neuroscience and has become the largest annual single-track Computational Neuroscience conference in Europe in recent years. _Workshop time frame:_ September 12, 2017, 13:00 - 18:00 September 13, 2017, 9:00 - 12:30 Workshop proposals are welcome for either half-day or full-day workshops. Workshop costs: NEW THIS YEAR – FINANCIAL SUPPORT: For all accepted workshops the registration is free of charge for organizers and speakers. Organizers will also receive a waiver for the main conference fee. New this year: From the accepted workshops a maximum of ten workshops will be selected to each receive financial support of up to 1.500,00 €. For further information about the conference, please visit the conference website http://www.bernstein-conference.de. INSTRUCTIONS FOR WORKSHOP PROPOSALS PREPARATION Workshop proposals must contain: 1) Workshop Title 2) Concise description of workshop topic 3) List of potential speakers indicating speaker commitment Please use the Workshop Proposal Form that can be downloaded here: http://www.nncn.de/de/bernstein-conference/2017/satellite-workshops *Deadline for submission of Workshop proposals: March 01, 2017* Accommodation and Hotel Reservation: We strongly recommend early room booking. The number of available accommodation is limited due to several concurrent events. We arranged for room contingents in a variety of hotels that you may book by yourself by email or phone. Please follow the instructions at our Accommodations Web-site (http://www.nncn.de/de/bernstein-conference/2017/venue/accommodation) We would like to emphasize that these room contingents will be held open up to different expiration dates depending on the hotel (or until they are filled). The earliest expiration date is already end of May 2017 whereas the majority of offers expire at the 12th of July 2017. We strongly encourage participants to share rooms and to book rooms as a group. Groups of three or four are possible if you book a suite. The room contingent contains a set of suits and apartments. We emphasize that it will be very difficult to book accommodation beyond the expiration dates. Please find a list of the hotels at our Accommodations Web-site. CONTACT: contact(at)bccn-goettingen.de We are looking forward to seeing you in Göttingen! WORKSHOP SELECTION COMMITTEE: Florentin Wörgötter (Chair) Marion Silies (co-Chair) Christian Tetzlaff (co-Chair) Matthias Bethge Laura Busse Claudia Clopath Julia Fischer Alexander Gail Richard Hahnloser Claus Hilgetag Peter Jonas Siegrid Löwel Michael Platt Viola Priesemann Nicole Rust Fred Wolf (Conference Chair) -- Dr Zrinka Gattin Bernstein Center for Computational Neuroscience (BCCN) Goettingen Bernstein Focus Neurotechnology (BFNT) Goettingen PhD Program in Theoretical and Computational Neuroscience Am Fassberg 17 D-37077 Goettingen Phone: +49 (0)551 5176 418 Fax: +49 (0)551 5176 14418 E-Mail: zrinka(a)nld.ds.mpg.de

Dec. 14, 2016

Organization for Computational Neurosciences (OCNS) - CNS2017 Meeting in Antwerpen (Belgium) - July 15-20, 2017

by Giugliano Michele

Dear Colleagues, apologies for cross postings. I bring to your attention the announcement of the CNS<http://www.cnsorg.org/cns-2017>2017 <http://www.cnsorg.org/cns-2017> Meeting<http://www.cnsorg.org/cns-2017>, organised at the University of Antwerpen, by myself and Daniele Marinazzo. Please circulate it at your convenience and/or print and stick the A4 poster (download it here<https://www.dropbox.com/s/5yclp8dyspgnmu6/CNS2017_A4Poster.jpg?dl=0>) to the door of your office, library, campus, etc. Organization for Computational Neurosciences (OCNS), 26th Annual Meeting, Antwerpen, Belgium, July 15-20, 2017 The main meeting (July 16-18) will be preceded by a day of tutorials (July 15) and followed by two days of workshops (July 19-20). Invited Keynote Speakers: Erik De Schutter, Okinawa Institute of Science and Technology, Japan Panayiota Poirazi, IMBB-Forth, Greece and chair of FENS-Kavli network of excellence Fernando Lopes Da Silva, University of Amsterdam, The Netherlands Anne Churchland, Cold Spring Harbour Lab, USA Registration will open on January 11, 2017. Abstract submission will open on January 12, 2017 and close on March 5. Workshop proposals are now being accepted. Note that one of the authors has to register as sponsoring author for the main meeting before abstract submission is possible. In case the abstract is not accepted for presentation, the registration fee will be refunded. For up-to-date conference information, please visit http://www.cnsorg.org/cns-2017 ---------------------------------------- OCNS is the international member-based society for computational neuroscientists. Become a member to be eligible for travel awards and more. Visit our website for more information: http://www.cnsorg.org — Michele GIUGLIANO, PhD Dept. of Biomedical Sciences University of Antwerp B-2610 Wilrijk - Belgium www.uantwerpen.be/michele-giugliano<http://www.uantwerpen.be/michele-giugliano>

Dec. 14, 2016

Vacancy: Three Positions in the Dutch Research Consortium "Language in Interaction".

by Verhoef, J.P. (Julia)

Three Positions in the Dutch Research Consortium 'Language in Interaction' (1,0 fte) [Logo NWO][Logo]Dutch Research Consortium 'Language in Interaction' Vacancy number: 30.10.16 Application deadline: Jan 29, 2017, 23:59 CET Responsibilities We are looking for highly motivated candidates to enrich a unique consortium of researchers that aims 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 1 Postdoc and 2 Research Assistant 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. Click here for more information on the advertised positions<https://www.languageininteraction.nl/bqpositions.html>. Work environment The Netherlands has an outstanding track record in the language sciences. The research consortium 'Language in Interaction', sponsored by a large grant from the Netherlands Organization 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 realizes 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/bqpositions.html<http://www.languageininteraction.nl/bqpositions.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. · Dutch universities and the institute involved have a number of regulations in place that enable employees to create a good work-life balance. Other Information The institute involved is an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such encourages applications from women and minorities. Would you like to know more? Further information on: the Language in Interaction Consortium<https://www.languageininteraction.nl/>. Further information on: the different positions<http://www.languageininteraction.nl/bqpositions.html>, including terms of employment and contacts Are you interested? You should upload your application (attn. of Prof. dr. P. Hagoort) using the button 'Apply'. Your application should include (and be limited to) the following attachments: · a cover letter quoting at the top the number (BQ1N or BQ4RA) 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 Jan 29, 2017, 23:59 CET. For more information on your application: +31 24 3611173. Big Question 1 Scientific summary The big question this project addresses is how to use computational modeling to link levels of description, from neurons to cognition and behavior, in understanding the language system. We focus on the mental lexicon and aim to characterize its structure in a way that is precise and meaningful in neurobiological and (psycho)linguistic terms. Our overarching goal is to devise causal/explanatory models of the mental lexicon that can explain neural and behavioral data. This will significantly deepen our understanding of the mental lexicon, lexical access, and lexical acquisition. Postdoc Position - BQ1N Neurobiologically realistic models of the mental lexicon Content description You will participate in a team effort to understand the computational neurobiology underlying language by means of recurrent networks of spiking neurons (RNN) for sentence processing. The goal is to develop an RNN model of the long-term storage and retrieval of lexical items and their associated structural and semantic properties (Mental Lexicon), encoded into high-dimensional feature vectors. Core objectives are to understand the nature of these lexical representations, how they are linked to relevant retrieval cues, and how this system is acquired based on local, unsupervised, neurobiological plasticity principles (e.g., spike-timing dependent plasticity, homeostatic plasticity, synaptic consolidation). This memory network will interface with a network for online sentence comprehension (Unification) that is currently being developed in the Neurobiology of Language Department (MPI). In this combined architecture it will be investigated to what extent structured word representations delivered by the mental lexicon are suitable for incremental, combinatorial processing and what-conversely-the influence of sentence context is on lexical retrieval. Model building will be supplemented by the development of analytic techniques to measure memory capacity and dynamic stability, and methods to discover hidden representational structure in neuronal assemblies. Requirements You should have · A PhD degree (or equivalent) on the computational modeling of language processing/acquisition with a background in mathematics, physics, computer science, or other relevant fields of study. · A strong background in psycholinguistics as well as computational neuroscience is required. This includes detailed knowledge of neuronal dynamics, synaptic plasticity, and neurobiological principles for learning. · Expertise on mathematical models of neural networks, dynamical systems, and the analysis of neuronal activity is highly valued. · Extensive experience in scientific computing, including numerical methods, large-scale simulations, and data-science approaches. Programming experience especially in languages such as Matlab and Python is required, knowledge of simulation tools like NEST is desirable. · Experience with concepts and methods for statistical analysis, and with state-of-the-art techniques for data visualization. · An active interest in brain physiology, memory research, and computability theory. · Affinity with cognitive neuroscience, machine learning, and fundamental issues in theoretical linguistics is desirable. · Experience with designing and supervising PhD projects and have a proven ability to work in an interdisciplinary team, with strong communication skills in an international work environment. · The ability to work independently, organize and lead group meetings, compose research reports regularly, and present results to a wide scientific audience. · Fluency in English, spoken and written, is a must. Knowledge of Dutch is desirable but not mandatory. Embedding and Terms of employment This position will be held at the Max Planck Institute for Psycholinguistics, Nijmegen. * Employment: 1,0 fte; · Starting salary will be based on Tarifvertrag im Öffentlichen Dienst E13 Stufe 1 (TVöD Bund). Final scaling dependant on experience; · In addition to the salary: an 8% holiday allowance · The Max Planck Institute involved has a number of regulations that make it possible for employees to create a good work-life balance. Contact information Dr. Karl Magnus Petersson (Karl-Magnus.Petersson(a)mpi.nl<mailto:Karl-Magnus.Petersson@mpi.nl>) and Prof. Peter Hagoort (Peter.Hagoort(a)mpi.nl<mailto:Peter.Hagoort@mpi.nl>) Big Question 4 Scientific summary We aim to characterize variation in language processing and learning skills and to determine how these variations relate to variations in the underlying biology of individual participants. The project has two strands: Strand A focuses on language processing skills in young adults, and Strand B on language learning skills in children and adults. Strand A will develop a comprehensive battery of language tasks targeting sound, meaning, and grammatical processing of words and longer utterances during speaking and listening. In addition, tasks will be selected or developed assessing general cognitive skills that are likely to affect performance in language tasks. Strand B uses variability in learning ability to investigate why second-language (L2) acquisition can become harder in adulthood. Two Research Assistant Positions - BQ4RA Content Description You will work primarily in Strand A of the project. You will be involved in the development of the tests items (e.g., generation of stimuli, adaptation of English tests for use in Dutch, preparing the presentation of the items in existing software packages), data analysis and archiving. Your main duties will, however, be to schedule and test participants in the lab in Nijmegen and in schools in various locations in the Netherlands. Requirements You should minimally have a BA degree (or equivalent) in Psychology, (Special) Education , or another relevant field of study. You must have native or near native knowledge of Dutch and good knowledge of English. Good IT skills would be highly valued. Most importantly, you should have good communicative and organizational skills and feel comfortable interacting with young persons, individually and in groups. Some experience in teaching, therapy, or tutoring would be useful. Applications from excellent candidates with a less than ideal profile will be equally considered. Embedding These positions will be held at the Max Planck Institute for Psycholinguistics, Nijmegen. * Employment: 1,0 fte; * Starting salary will be based on Tarifvertrag im Öffentlichen Dienst E9b Stufe 1 (TVöD Bund); · In addition to the salary: an 8% holiday allowance; · The Max Planck Institute involved has a number of regulations that make it possible for employees to create a good work-life balance. Contact information Prof. Antje S. Meyer (antje.meyer(a)mpi.nl<mailto:antje.meyer@mpi.nl>) and Prof. James McQueen (j.mcqueen(a)donders.ru.nl<mailto:j.mcqueen@donders.ru.nl>)

Dec. 12, 2016

vacancy for female tenure track assistant professor at University of Groningen (Artificial Intelligence)

by Marieke van Vugt RUG

There are 5 tenure track positions available for female candidates in the Faculty of Science and Engineering, of which one will be placed in the Department of Artificial Intelligence. This department has a very broad interpretation of artificial intelligence, with expertise ranging from cognitive science to robotics and machine learning. We have a particular interest in model-based neuroscience and neuromorphic computing. http://www.rug.nl/about-us/work-with-us/job-opportunities/overview?details=… Rosalind Franklin Fellowships at the Faculty of Mathematics and Natural Sciences (216337-41 RFF) Organisation The Faculty of Mathematics and Natural Sciences is home to a kaleidoscopic range of disciplines and research strengths. Our teaching and research programmes range from nanomaterials to engineering, from pharmacy to ecology, and from computer science to astronomy. Our researchers investigate fundamental key questions while collaborating with partners from industry, the medical world and other social sectors. Frontline research groups explore new fields such as synthetic biology and sustainable energy use. The Faculty place a high priority on the international dimension of teaching and research and has a long history of stimulating, initiating and carrying out multidisciplinary and internationally oriented research. The Faculty has 40 Bachelor’s and Master’s degree programmes, 35 of which are English-taught, attracting students from all over the world. Job description The University of Groningen initiated the prestigious Rosalind Franklin Fellowship programme to promote the advancement of talented international researchers at the highest levels of the institution. The ambitious programme has been running at the Groningen Faculty of Mathematics and Natural Sciences since 2002 and at the University as a whole since 2007. The Rosalind Franklin Fellowship programme is aimed at women in industry, academia or research institutes who have a PhD and would like a career as full professor in a European top research university. The Fellowship is only awarded to outstanding researchers. Successful candidates will be expected to establish an independent, largely externally funded research programme in collaboration with colleagues at our Faculty and elsewhere. They will also be expected to participate in and contribute to the development of the teaching programme of their discipline. The University of Groningen has 13 tenure track positions available in this programme, currently co-funded by the European Union. We invite ambitious female academics to apply for these positions. Under European jurisdiction it is lawful to specifically recruit underrepresented groups. Five RFF positions In the next round of Rosalind Franklin Fellowships, the Faculty of Mathematics and Natural Sciences has five Rosalind Franklin Fellowships to offer in the disciplines: Fundamental Computer Science (Data Management, Theory of Computing, Algorithms, Networks, Security) Fundamental Mathematics (Algebra, Geometry, Analysis), Mathematical Data Analysis, Complex Systems Mechanical Engineering (field of dynamics and vibrations, optomechatronics, or other fields relevant for advanced instrumentation) Artificial Intelligence (logic, neuromorphic computing, cognitive modelling or robotics) Bioinformatics (complex biological systems, genome analyses, metagenomics and microbiology, host-microbe biology, new computational algorithms and methods). Qualifications • PhD degree for at least 3 years on reference date 1 February 2017 • exemplary research record demonstrated by publications in international top journals and/or in peer-reviewed books • proof of independence and international recognition • experience in various working environments in different countries • successful in acquiring external funding for research projects • teaching experience or proven inclination for teaching demonstrated by tutoring/mentoring of individuals or small groups • demonstrable organizational qualities and communication skills • a well-founded and motivated application with an innovative research plan for the first five years and a challenging outlook for the future which takes into account the international research landscape in their field of specialization • must not have resided or carried out your main activity (work, studies, etc.) in the Netherlands for more than 12 months in the 3 years immediately prior to the reference date of 1 February 2017. Please check whether you are eligible to apply by doing the eligibility check: https://www.rug.nl/about-us/work-with-us/rff/requirements-application/ <http://www.rug.nl/about-us/work-with-us/rff/requirements-application/> Additional requirements In addition to the University’s general requirements for the fellowships, the Faculty of Mathematics and Natural Sciences has the following additional requirements: • at least two years of postdoctoral experience, preferably in various research institutions (Dutch applicants should have at least two years of postdoctoral experience outside The Netherlands) • experience in supervising research projects • the candidate must have the potential to develop into a leader who guides and inspires • the proposed research should be complementary and of added value to the research areas currently represented within the Faculty. Conditions of employment The University of Groningen offers a starting salary for the Rosalind Franklin Fellow/assistant professor, dependent on qualifications and relevant work experience, of a minimum of € 3,427 gross per month (salary scale 11 Dutch Universities) up to a maximum of € 5,330 gross per month (salary scale 12) for a fulltime position. The salaries include an 8% holiday allowance, an 8.3% end-of-year bonus and participation in an employee pension scheme. The conditions of employment comply with the Collective Labour Agreement for the University of Groningen. The appointment of a Rosalind Franklin Fellow/assistant professor will be on a temporary basis for a maximum of 6 years. After 5 years of employment, there will be an assessment of performance based on established criteria including research and teaching qualifications. If the outcome of the assessment is positive, the assistant professor will be promoted to the rank of associate professor with tenure. At the end of a further 4-7 year period, there will be another assessment aimed at promotion to full professor. Please visit our webpage for more information about conditions of employment: https://www.rug.nl/about-us/work-with-us/rff/requirements-application/condi… <http://www.rug.nl/about-us/work-with-us/rff/requirements-application/condit…> Application You may apply for this position until 31 January / before 1 February 2017 Dutch local time by means of the application form (click on "Apply" below on the advertisement on the university website). Applicants should submit: 1. A full curriculum vitae including a complete list of publications (file 1) 2. A letter of motivation (file 2) 3. A 3-5 page statement of research accomplishments and future research goals (file 3) 4. A list of five selected ‘best papers’ (preferably including copies) (file 4) 5. the names and contact information (including email address) of 3 referees (file 5). The application files should be sent electronically in PDF format. Applications with missing credentials will not be taken into consideration. http://www.rug.nl/about-us/work-with-us/job-opportunities/overview?details=… -------------------------------------------------------------------- Marieke van Vugt, PhD Assistant Professor, Cognitive Modelling Group University of Groningen Bernoulliborg, room 326 Nijenborgh 9 9747 AG Groningen The Netherlands phone: +31-6-5195-4984 (cell) +31-50-363-9487 (office) http://www.ai.rug.nl/~mkvanvugt <http://www.ai.rug.nl/~mkvanvugt> twitter: @mvugt m.k.van.vugt(a)rug.nl <mailto:m.k.van.vugt@rug.nl> / mkvanvugt(a)gmail.com

Dec. 10, 2016

Postdoctoral Scholar - Sensorimotor Integration and Sensorimotor Learning for Speech Production

by Emre Neftci

A Postdoctoral Scholar position in the areas of sensorimotor integration and sensorimotor learning for speech production is available in the Auditory & Language Neuroscience Lab (PI Greg Hickok; http://sites.uci.edu/alns/) and the Neuromorphic Machine Intelligence Lab (PI Emre Neftci; http://nmi-lab.org/) in the Department of Cognitive Sciences at the University of California, Irvine. Description of Duties: The research involves developing neurally feasible computational models of speech production that is integrated with and informed by ongoing work on speech production using a wide range of methods including functional imaging, lesion, and intracranial electrocorticography (ECoG) and stimulation mapping. Salary and benefits: This position is full-time and includes benefits. Salary is commensurate with experience. Qualifications: The successful candidate must possess a Ph.D. (by the start of the appointment) in Cognitive Sciences, Physics, Neuroscience, Computer Science, or Engineering, and must have expertise in computational neuroscience and/or machine learning. The position is anticipated to begin in late 2016 or early 2017 for one year with an additional one-year reappointment possible contingent upon satisfactory performance and productivity. We seek a candidate with excellent verbal and written communication skills who is strongly motivated and has substantial computer programming experience – the labs rely heavily on MATLAB, R, Psyscope/Psychtoolbox and Python. Working knowledge of artificial and spiking neural networks is a plus. Application Procedure: Interested candidates should submit a cover letter (describing their research experiences, interests, and goals,), a CV, and the names and contact information of three references at: https://recruit.ap.uci.edu/apply/JPF03744 For more information about this position, please contact Dr. Greg Hickok (greg.hickok(a)uci.edu) or Dr. Emre Neftci (eneftci(a)uci.edu) The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. -- Emre Neftci, PhD (ETH Zurich), Assistant Professor, Neuromorphic Machine Intelligence Lab (http://nmi-lab.org/) Department of Cognitive Sciences, 2308 Social & Behavioral Sciences Gateway Building, UC Irvine 92697-5100

Dec. 8, 2016

Postdoc position in systems neuroscience

by Shuzo Sakata

Applications are invited for a postdoctoral research associate position in the group of Dr Shuzo Sakata in Strathclyde Institute of Pharmacy and Biomedical Science 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 the function of dream sleep. Taking multidisciplinary approaches, we will investigate the function of sub-second brain waves during REM sleep in rodents. Candidates should have a PhD or EngD in the field of neuroscience or related disciplines, including engineering and physics. Experience in at least one of the following areas is desirable: behavioural neuroscience, in vivo neurophysiology and computational neuroscience. Experience with quantitative skills for neurophysiological data analysis 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: shuzo.sakata(a)strath.ac.uk. -- Shuzo Sakata, Ph.D. Senior Lecturer in Circuit Neurophysiology Strathclyde Institute of Pharmacy and Biomedical Sciences University of Strathclyde 161 Cathedral Street, Glasgow G4 0RE, UK tel: +44-(0)141-548-2156, fax: +44-(0)141-552-2562 email: shuzo.sakata(a)strath.ac.uk The University of Strathclyde is a charitable body, registered in Scotland, number SC015263

Dec. 6, 2016

Post-doctoral Fellow in Human Intracranial Physiology at NIH

by Zaghloul, Kareem (NIH/NINDS) [E]

Hi, I would like to post following ad for a post-doctoral fellow on the comp-neuro list serv. Thank you, Kareem A. Zaghloul, MD, PhD Surgical Neurology Branch National Institute of Neurological Disorders and Stroke, NIH Bldg 10, Rm. 3D20 10 Center Drive Bethesda, MD 20892-1414 O: 301-594-8114 F: 301-402-0380 A full-time post-doctoral position focused on understanding the neural correlates of human cognitive function is available in the Surgical Neurology Branch of the National Institute of Neurological Disorders and Stroke at the NIH. This position involves studies focused on analyzing and manipulating human intracranial electrophysiological signals, including single-unit activity, local field potentials, and electro corticography (ECoG), captured from patients with medically refractory epilepsy and from patients receiving deep brain stimulation surgery. Post-doctoral fellows will join a laboratory aimed at understanding the neural mechanisms that underlie human memory and decision making and at developing novel and innovative techniques to directly communicate with those circuits. We are seeking candidates that are highly creative, motivated, and independent with a Ph.D. in neuroscience, biomedical engineering, or a related field. Candidates must have a strong research background, with a record of relevant publications. Candidates will be encouraged and expected to participate in independent laboratory research, and will be expected to write scholarly manuscripts. Candidates must be able to lead and work well in a team. Candidates should have strong computational, quantitative, and/or engineering skills, with proficiency in developing custom code (Matlab, Python, etc.) for data analysis preferred. Past medical research is not required, but candidates must be willing to perform experiments in a clinical setting. Candidates will interact with clinical staff, graduate students, research fellows, and must have excellent spoken and written English skills. Applicants should submit a brief statement of research activities and interests, a current CV, and names and contact information of at least three references. Salary will be commensurate with experience and accomplishments. To arrange a meeting with the PI and to send materials required for consideration for this appointment please contact Dr. Zaghloul at: zaghloulka(a)mail.nih.gov<mailto:zaghloulka@mail.nih.gov> NIH, an agency of DHHS, is an equal opportunity employer.

Dec. 5, 2016

Postdoctoral Fellowship in Theoretical/Computational Neuroscience

by Paul Miller

Brandeis University invited applications for a postdoctoral fellowship in theoretical/computational neuroscience. The successful applicant will be expected to work on a project related to the current research interests of faculty associated with the Sloan-Swartz Center for Theoretical Neuroscience at Brandeis (see http://www.bio.brandeis.edu/sloan/ and http://www.bio.brandeis.edu/faculty/list_programNeuro.html) Example research areas include: Decision making; Short-term memory; Robustness and stability of small circuits; Cellular mechanisms of homeostasis; Attractor-state computing; Plasticity and development of cortical circuits. Candidates should have a Ph. D. in one of the Physical Sciences or Neuroscience, a demonstrated ability in scientific computation, a solid foundation in calculus and differential equations, and a strong interest in neuroscience. Prior training and experience in neuroscience is desirable, though we accept those candidates new to the field who are willing to commit to the intense and extensive training available here. Brandeis has a small, but strong neuroscience program (4 National Academy members) with significant expertise in systems neuroscience. Brandeis is located in Eastern Massachusetts, about 8 miles from Boston/Cambridge. All interested candidates should send a C.V., with the name and contact details of three or more references, and a paragraph indicating their career plans and research interests, by email to: pmiller(a)brandeis.edu. Please include in the subject line the phrase "Postdoc Application".

Dec. 2, 2016

Postdoctoral Positions available in Computational and Cognitive Neuroscience

by Jonathan Nicholas

Postdoctoral Fellowship in Computational Modeling of Brain Networks The Stanford Cognitive and Systems Neuroscience Laboratory invites applications for postdoctoral fellowships in brain network modeling and analysis. We seek candidates with strong research backgrounds in one or more of the following areas: resting-state fMRI, DTI, functional and structural brain connectivity analysis, and network modeling. This is an exciting opportunity to work on NIH- and NSF-funded projects using computational, network modeling and multimodal (fMRI, DTI, EEG) brain imaging techniques. The successful candidate will develop a vigorous research program that contributes to, and complements, ongoing research studies. The candidate will have access to state-of-the-art brain imaging and computational facilities. Strong programming skills and previous experience with DTI analysis are desirable. Please email a CV, statement of research interests and relevant background, and names of three referees to Drs. Vinod Menon and Aarthi Padmanabhan at scsnl.stanford+postdoc(a)gmail.com<mailto:scsnl.stanford@gmail.com> Postdoctoral Fellowship in Developmental Cognitive Neuroscience The Stanford Cognitive and Systems Neuroscience Laboratory invites applications for postdoctoral fellowships in developmental cognitive neuroscience. We seek candidates with strong research backgrounds in one or more of the following areas: typical and atypical neurocognitive development, learning disabilities (dyscalculia and dyslexia), autism, numerical cognition, cognitive training, and brain network development. This is an exciting opportunity to work on NIH-funded projects using behavioral, computational, and multimodal (fMRI, MRI, DTI) brain imaging techniques. The successful candidate will develop a vigorous research program that contributes to, and complements, ongoing research studies. The candidate will have access to state-of-the-art brain imaging facilities and computational resources. Candidates must have a PhD and relevant research experience in cognitive neuroscience, cognitive science, psychology or related fields. Strong expertise in fMRI data analysis and computational skills are highly desirable. Please email a CV, statement of research interests and relevant background, and names of three referees to Drs. Vinod Menon and Teresa Iuculano at scsnl.stanford+postdoc(a)gmail.com<mailto:scsnl.stanford+postdoc@gmail.com>.

Dec. 1, 2016

Postdoctoral Position in Machine Learning and Neuromodulation

by Babak Mahmoudi

A Postdoctoral position is available at Emory University School of Medicine on developing novel neuromodulation therapies for epilepsy and memory. The research and training is focused on developing Big Data analytic tools and machine learning algorithms for the optimization of neuromodulation therapies. The successful candidate will collaborate with scientists and clinicians in the Departments of Biomedical Informatics, Neurosurgery, Neurology and Biomedical Engineering at Emory University and Georgia Tech, Grenoble University at France, and medical device industry partners. The ideal candidate will have a PhD in Computer Science, Biomedical Engineering, Computational Neuroscience or related fields with a strong background in machine learning, optimization theory, multivariate analysis and signal processing. Programming skill sets in Matlab and other languages (e.g., C++ and python) would be key to a successful candidate. Inquiries should be addressed to Babak Mahmoudi (b.mahmoudi(a)emory.edu) The position begins in January 1st but the start date is negotiable. The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available. Please send applications including a CV, statement of research interests, and the names and full contact details of three references to b.mahmoudi(a)emory.edu

Dec. 1, 2016

Researcher position at ATR Brain Labs (Kyoto, Japan)

by Haruo HOSOYA

Dear all, ATR Brain Labs in Kyoto, Japan has two open positions in computational visual neuroscience. I would appreciate if you forward the following message to anyone who might be interested. Best regards, Haruo Hosoya, Senior Researcher Department of Dynamic Brain Imaging ATR Brain Labs, Cognitive Mechanisms Laboratories Open researcher positions at ATR Brain Labs., Kyoto, Japan ============================================ Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan, has open positions for researchers in computational visual neuroscience. Our institute has a long tradition in computational neuroscience and has recently been promoting theoretical studies of hierarchical vision models based on statistical learning theory (a.k.a. deep learning), with the emphasis on the bidirectional (feedforward and feedback) computation in the visual cortex. We seek for autonomous and motivated applicants who are interested in working on this research theme in collaboration with our research group. Haruo Hosoya, Ph.D. Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan 2016, December Project outline --------------------- It is well known that, in the visual cortex, a number of visual areas form a hierarchy with low-level to high-level feature representations, and perform bidirectional interactions through the feedforward and feedback circuitry. Such bidirectional computation has conventionally been considered to play roles in visual perception, imagery, information completion, selective attention, etc. However, our research group is considering that bidirectional computation may be far more essential in the visual system than previously thought. For example, we have recently released a theoretical model that proposes a potential role of bidirectional computation in visual representations of objects and facts in the higher visual cortex (http://dx.doi.org/10.1101/086637) We will continue to pursue other roles of the bidirectionality in various visual functions of the brain through developing new computational models based on learning theory and evaluating their visual processing capability, performance, and explainability of neuroscientific data. Furthermore, we are also interested in building a larger-scale hierarchical visual model that integrates various computational models developed in our group as well as pursuing its applicability in realistic problems. More on the project can be seen here: http://www.cns.atr.jp/~hosoya/project_outline.pdf. What's ATR? ------------------ ATR is a private company specialized to basic science founded in 1986. It is renowned for its long and unique tradition of computational neuroscience since the foundation, emphasizing the importance of mathematical understanding of computation in the brain for the technological innovation. Research in ATR is highly international and involves a number of scientists from all over the world for collaboration. The institute is located in Keihanna scientific city surrounded by the second largest city of Japan, Osaka, and two beautiful old capitals of Japan, Kyoto and Nara. Requirements for Researchers ----------------------------------------- Applicants must have a Ph.D. or be expected to get one before starting the job. The applicants are required to show expertise in a mathematical area, as well as strong interest in neuroscience and good programming experience. In particular, expertise in machine learning will be considered important. Additional knowledge in computation vision and computational neuroscience will also be welcome. Number of openings --------------------------- Two Employment conditions -------------------------------- Position : Full-time Researcher Tenure : Single year based contract, renewable based on evaluation Treatment: Based on individual performance Work Location: Advanced Telecommunications Research Institute International (ATR) 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan Application materials ---------------------------- Please submit the following five materials to the contact address below, either in a printed or in an electronic form: • 1 CV • 2 List of publications • 3 Reprints of 1-3 major publications of past projects • 4 Essay (up to two pages in A4 or letter size) describing summary of your previous research, interest in our project, and other skills and experiences potentially useful for research. • 5 Recommendation letters from two or more researchers * If submitted in printed form, original documents will not be returned. Judging system --------------------- After documentary examination, we ask for presentation and interview if needed. Starting date -------------------- Soon (negotiable) Deadline for application --------------------------------- Opens until positions are filled. Contact ----------- Department of Dynamic Brain Imaging ATR Cognitive Mechanisms Laboratories 2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan Email: dbi-tvn at atr.jp at=@ Use of personal data ---------------------------- All personal data received will be properly managed and only be used for the purpose of recruitment.

Dec. 1, 2016

Engineer/Post-doc in Computational Neuroscience

by Irene Yujnovsky

*Engineer/Post-doc in Computational Neuroscience*** *Institute of System Neuroscience (INS**), UMR1106 AMU-Inserm, Marseille, FRANCE*** ** An engineer/post-doctoral position**is open in the Theoretical Neuroscience Group (TNG) <http://ins.univ-amu.fr/research-teams/theoretical-neurosciences-group/>directed by Viktor JIRSA at the Institute of System Neuroscience (INS) for an experienced computational neuroscientist to work in modeling brain networks with the aim of creating individual Virtual Patient epilepsy models using The Virtual Brain platform as framework (see http://www.thevirtualbrain.org) *Qualification* Candidates must be highly motivated to work on an interdisciplinary project and collaborate with the various members of the group and with clinicians. They should have a degree in computational neuroscience, engineering or equivalent level of knowledge. A strong background in computational neuroscience (networks, dynamic system theory) and/or data fitting (Bayesian approaches, Dynamical Causal Modeling (DCM), Monte Carlo techniques) will be highly appreciated. Candidates must be comfortable working in computational environmentsand possess excellent programming skills. Experience using The Virtual Brain platform and development of clinical databases would be considered an advantage. *The Theoretical Neuroscience group* We are a multi-national team interested in understanding the mechanisms underlying the spatiotemporal organization of large-scale brain networks. Our work comprises mathematical and computational modeling of large-scale network dynamics and human brain imaging data, the development of neuroinformatics tools for studying large-scale brain networks applied to concrete functions, dysfunctions (epilepsy, dementia) and aging. *Terms of salary and employment* A 12-month renewable contract will be established. Salary will depend on the diploma and experience. Operating language in the laboratory is English. Applications including a cover letter, curriculum vitae and the names of two referees should be sent by December 31^st 2016 to: *Dr. Irene Yujnovsky* at irene.yujnovsky(a)univ-amu.fr More information about the INS and the Theoretical Neurosciences Group can be found at: http://bit.ly/29kub1k -- --------------------------------------------------- Irene Yujnovsky, PhD Chef de projet EPINEXT Institut de Neurosciences des Systèmes Inserm UMR1106 Université Aix-Marseille Faculté de Médecine, 27, Boulevard Jean Moulin 13005 Marseille, France Phone: +33 (0)491324239 email: irene.yujnovsky(a)univ-amu.fr Website: http://epinext.org/

Nov. 30, 2016

Postdoctoral Position: Modeling of aging cortical networks

by Christina M. Weaver

Postdoctoral Position: Modeling of aging cortical networks A postdoctoral research fellowship in computational neuroscience is available to work with Christina Weaver (Dept. of Mathematics, Franklin & Marshall College, Lancaster, PA). The postdoctoral fellow will be a vital member of the interdisciplinary research team led jointly by Dr. Weaver, Dr. Jennifer Luebke (Dept of Anatomy & Physiology, Boston University School of Medicine, Boston MA), and Dr. Patrick Hof (Dept. of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY). The research will explore structural and functional abnormalities of cortical neurons in middle-aged rhesus monkeys, and the extent to which intervention with a powerful antioxidant affects age-related dysfunction. The new postdoctoral fellow will build computational models of small cortical networks, constrained by our recent computational results and empirical studies in the Luebke and Hof laboratories. Our joint publications include: Amatrudo et al., J. Neurosci.(2012), PMID 23035077; Luebke et al., Cerebral Cortex (2015), PMID 24323499 and Rumbell et al., J. Comput. Neuro. (2016), PMID 27106692. The postdoc will travel occasionally to Boston and/or New York City as part of this collaboration. The postdoc will also have funds to support conference travel, professional development, and full access to campus services including F&M's Faculty Center. Applicants should have a strong background or interest in computational neuroscience and have a keen interest in interdisciplinary approaches that integrate modeling, imaging, and physiological experiments in neuroscience research. Initial appointment for this position is for one year, and may be extended contingent upon funding. Review of applications will begin immediately and will continue until the position is filled. Requirements: - PhD or equivalent in computational neuroscience, applied mathematics, or a related field from an accredited institution is required. - Excellent written and verbal communication skills are required. - Experience with differential equations-based mathematical models or automated parameter optimization is required. - Experience with conductance-based modeling of single neurons, or small networks, and/or NEURON compartmental modeling software is preferred. An extended job posting and link to apply is available at https://fandm.interviewexchange.com/jobofferdetails.jsp?JOBID=79194

Nov. 30, 2016

Research Fellow Position in Neuroinformatics

by Leon French

The Computational Neurobiology Laboratory at CAMH seeks a postdoctoral fellow to join our efforts to understand brain disease. We focus on mining datasets of connectivity, gene expression and epigenetics across the genome and the brain. We employ multifaceted approaches that gain information by using data that crosses scales, modalities, and species. We seek one postdoctoral fellow interested in bioinformatics and neuroscience. The primary project will be to create, explore, and test methods for mapping many genes across neuroanatomy and brain development. Given the polygenic complexity of mental illness, there are many exciting applications for these methods. Our current applications use genes associated with Parkinson’s disease, aging (collaboration with Dr. Etienne Sibille) and intellectual disability (with Dr. John B. Vincent). In addition to this project, there would be opportunities to pursue other research interests. Some of our frequently used keywords give a good description of our work: neuroinformatics, molecular neuroanatomy, genetics, epigenomics, population neuroscience, transcriptomics, machine learning, text mining, neuroimaging, software development, and connectomics. The ideal candidate should have a PhD in computational biology, bioinformatics, computer science or related field with extensive knowledge in genome-wide data integration. Significant interest in neuroscience and experience working with large datasets are requested. Writing manuscripts and applying for independent grants and fellowships will be strongly encouraged. Highly motivated individuals (Ph.D. and/or M.D.) should submit a curriculum vitae, names of 3 references and a cover letter explaining their interest, and a brief description of research experience. Send information to Leon French at leonfrench+recruit(a)gmail.com You will support a healthy workplace that embraces diversity, encourages teamwork and complies with all applicable and regulatory requirements. This position will be located at 250 College Street, Toronto.

Nov. 30, 2016

Poostdoctoral Position - Jorge Riera on Behalf of Dr. Zachary Danziger) (Applied Neural Interfaces)

by Jorge Riera Diaz

POSTDOCTORAL RESEARCH ASSOCIATE POSITION A postdoctoral research position is available to develop validation systems and decoding algorithms for brain-computer interface applications. Investigations will take place at the Applied Neural Interfaces Laboratory in Florida International University's Department of Biomedical Engineering, which is housed in the College of Engineering and Computing. The position entails software development, conducting human behavioral studies, and algorithm design with the goal of advancing the frontiers of brain-computer interface research and understanding the relationship between human users and adaptive controllers. The postdoctoral scholar will be expected to lead experiment design and data analysis efforts as well as participate in guiding the overall intellectual direction of the project. The position will allow the postdoctoral researcher the opportunity to creatively develop new solutions to challenging problems related to the neuroscience of braincomputer interfaces using state-of-the-art algorithms, advanced computing equipment, and virtual reality hardware. Applicants should have a Ph.D. in biomedical engineering, neuroscience, or a related field and have experience with MATLAB. For information about related projects see: https://anil.fiu.edu/ Qualified candidates are encouraged to apply to Job Opening ID 512642 at facultycareers.fiu.edu or directly to the Principal Investigator, Dr. Zachary Danziger (Zachary.Danziger(a)fiu.edu) with a letter of interest, curriculum vitae, and the names and contact information for at least 3 references. To receive full consideration, applications and required materials should be received by December 30th. Review will continue until position is filled. FIU is a member of the State University System of Florida and an Equal Opportunity, Equal Access Affirmative Action Employer. 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. Florida International University is classified by Carnegie as a R1: Doctoral Universities - Highest Research Activity and recognized as a Carnegie engaged university. It is a public research university with colleges and schools that offers 196 bachelor's, master's and doctoral programs in fields such as engineering, computer science, international relations, architecture, law and medicine. As one of South Florida's anchor institutions, FIU contributes almost $9 billion each year to the local economy. FIU is Worlds Ahead in finding solutions to the most challenging problems of our time. FIU emphasizes research as a major component of its mission. FIU has awarded more than 220,000 degrees and enrolls more than 54,000 students in two campuses and three centers including FIU Downtown on Brickell, FIU@I-75, and the Miami Beach Urban Studios. FIU's Medina Aquarius Program houses the Aquarius Reef Base, a unique underwater research facility in the Florida Keys. FIU also supports artistic and cultural engagement through its three museums: Patricia & Phillip Frost Art Museum, the Wolfsonian-FIU, and the Jewish Museum of Florida-FIU. FIU is a member of Conference USA and has more than 400 student-athletes participating in 18 sports. For more information about FIU, visit http://www.fiu.edu/. Jorge Riera, PhD Associate Professor Dept. Biomedical Engineering Florida International University Miami, FL 33174 Tel. 305 348 4948 Email. jrieradi(a)fiu.edu<mailto:jrieradi@fiu.edu>

Nov. 30, 2016

Workshop on Tactile coding and neuroprostheses

by Alberto Mazzoni

Dear all, the workshop on tactile coding taking place in the The Biorobotics Institute of the Scuola Superiore Sant'Anna in the next two days (see below) will be available for streaming on the Facebook page of the Institute https://www.facebook.com/istitutobioroticascuolasuperioresantanna/ the full program is now available in .pdf form here sssa.bioroboticsinstitute.it/events/TFN2016 ----------------------------------------------------------------------------------------------- *Workshop on Tactile coding and neuroprostheses * *December 1-2 2016, Pontedera (Pisa) - Italy * *@ The Biorobotics Institute of the Scuola Superiore Sant'Anna* *ABSTRACT* Neurophysiology of touch and development of artificial tactile sensation are two fields of research with an ever-increasing interchange. Advanced neuroprostheses are progressively focusing on reproducing the naturalistic processing of tactile sensations in the peripheral and central nervous system. In turn, biomimetic tactile sensors and behavioral studies on patient implanted with tactile neuroprostheses can contribute to the understanding of tactile coding. This workshop aims at fostering the integration of neurophysiological, computational and robotics studies on touch with contribution of leading experts in the different fields. *WORKSHOP SESSIONS* *Neurophysiology of touch *- keynote speaker *Roland S Johannson* (Umea University, Sweden) *Touch perception and tactile coding *- keynote speaker *Vincent Hayward* (Institut des Systèmes Intelligents et de Robotique, Paris, France) *Touch restoration, neuroprostheses and biorobotics *- keynote speaker *Sliman Bensmaia* (University of Chicago, USA) *DETAILS* The workshop takes place on the premises of The Biorobotics Institute of Scuola Superiore Sant'Anna, viale Rinaldo Piaggio 24, in Pontedera (15 mins by train from Pisa, 50 mins from Florence). The event is free, but registration is compulsory. *To register, please write to local organizer Alberto Mazzoni (a.mazzoni(a)sssup.it <a.mazzoni(a)sssup.it>)* *ORGANIZERS* Silvestro Micera (Scuola Superiore Sant'Anna, Pisa, Italy / École polytechnique fédérale de Lausanne, Switzerland) Henrik Jorntell (Lund University, Sweden) Calogero Oddo (Scuola Superiore Sant'Anna, Pisa, Italy) Alberto Mazzoni (Scuola Superiore Sant'Anna, Pisa, Italy) *ACKNOWLEDGMENTS* Italian Ministry of Foreign Affairs and International Cooperation, Directorate General for Country Promotion (Economy, Culture and Science)—Unit for Scientific and Technological Cooperation, via the Italy-Sweden bilateral research project on "Brain network mechanisms for integration of natural tactile input patterns", NEBIAS European project (EUFP7-ICT-611687) and Scuola Superiore Sant'Anna fund IEXERC14AM.

Nov. 30, 2016

Job Opening: Computational Neuroscience Research Assistant

by Jonathan Nicholas

Hello all, Please see the following ad for a full-time computational neuroscience RA: Computational Neuroscience Research Assistant Position at Stanford University: Stanford University has an opening for a talented research assistant with strong computational and programming skills. This is an exciting opportunity to work with a multidisciplinary research team (http://scsnl.stanford.edu) on a wide range of studies of human brain function and dysfunction. The successful candidate will assist lab members with neuroimaging data analysis and data organization and management. He/She will have opportunities to develop and apply novel multimodal data analysis techniques and to co-author research publications. Experience with Matlab, Python, R, signal and image processing, machine learning, statistics, databases, Linux, and shell scripting is required. Experience in neuroimaging/neural data analysis is desired. Excellent organizational and interpersonal communication skills are required. We are seeking talented and enthusiastic candidates with a strong background in biomedical engineering, computer science, physics, mathematics, statistics, computational neuroscience, quantitative psychology, or related subjects. Stanford offers a highly competitive salary with excellent health and retirement benefits. A two-year commitment is required. Please email a CV, a statement of research interests and career goals, and contact information for three references to scsnl.stanford+quantitative(a)gmail.com Thanks, Jonathan

Nov. 29, 2016

Fully-funded four-year PhD studentship in Computational Neuroscience at Imperial College London

by Reichenbach, Johann D T

An exciting PhD project in Computational Neuroscience is available for UK/EU candidates in the group of Tobias Reichenbach (http://www.bg.ic.ac.uk/research/reichenbach/index.html) at Imperial College London. The student will develop state-of-the art neuronal network models to investigate the effects of complex spatio-temporal neurostimulation on speech processing. The model development and results will be linked with ongoing experiments, and will pave the way to a novel rehabilitation from neural impairments with speech comprehension. The PhD position is part of the Center for Neurotechnology (http://www.imperial.ac.uk/neurotechnology/cdt) at Imperial College London. The successful candidate will join an international cohort of PhD students working on cutting-edge topics of computational and experimental neuroscience and engineering. To apply please visit the Centre's project page (http://www.imperial.ac.uk/neurotechnology/cdt/projects/) access the tab "Projects available for Oct 2017" and select the project "Developing a novel type of neurostimulation to foster speech processing and rehabilitation from aphasia". Deadline is the 31st of January 2017. ------------------------------------------- Tobias Reichenbach Lecturer, Biophysics of Hearing Editor, Heliyon Department of Bioengineering Imperial College London South Kensington Campus SW7 2AZ London, UK http://www.bg.ic.ac.uk/research/reichenbach/

Nov. 28, 2016

Graduate assistantships in Computational Science at FSU

by Gordon Erlebacher

Florida State University Graduate student assistantships available for Ph.D. and M.S. degree programs in Computational Science The Department of Scientific Computing at Florida State University offers innovative M.S. and Ph.D. degree programs in Computational Science. Graduate teaching and research assistantships are available for qualified, motivated students who are interested in receiving cross-disciplinary training in computational science. Many, if not most interdisciplinary degree programs and schools, including those in computational science, are jointly administered by several departments. Florida State University has created an independent department, the Department of Scientific Computing, that offers truly cross-disciplinary graduate degree programs in computational science. All faculty, postdoctoral associates, and students associated with the Department of Scientific Computing have offices in the same building, leading to a supportive, synergetic, environment in which the varied aspects of research and education in computational science are not only supported, but is a way of life. For more information about the Department of Scientific Computing and its graduate degree programs, please go to http://www.sc.fsu.edu. Over the last few decades, computations have joined theory and experimentation to form the three pillars of scientific discovery and technological design. Computational science can be viewed as residing at the intersection of traditional disciplines such as mathematics, computer science, statistics, engineering, and the sciences. Thus, computational science draws from but is not a subset of any of these disciplines. Due to the cross-disciplinary nature of computational science, it is essential that a computational scientist be trained in a setting that incorporates all the components that make up computational science. The Department of Scientific Computing is uniquely positioned to offer such training because it composed of truly cross-disciplinary faculty with strong computational backgrounds in the fields of biology, computer science, engineering, geophysical science, mathematics, material science, physics, and statistics, with an even broader spectrum of disciplines through collaborations within and outside Florida State. Students enrolled in the Ph.D. program in Computational Science can choose several areas of specialization. In addition to the major track, which trains students interested in the mathematical and computer science aspects of computational algorithms that can be applied to a wide range of disciplines, we offer tracks in atmospheric science, biochemistry, biological science, geological science, materials science, and physics. Soon, we will add a track in computational intelligence. Students following these tracks gain expertise in computational issues specifically related to the chosen field. All students, however, will be involved in truly cross-disciplinary training and research. The Department of Scientific Computing maintains a large and diverse computing infrastructure in support of research and education. Available computing resources include supercomputers, a number of clusters and computational servers, and multi-core workstations with advanced graphics cards available, and other specialized hardware. Florida State University is a national graduate research university which has built a reputation as a strong center for research in the sciences. It is located in Tallahassee, FL which is situated in the Florida panhandle and is near some of the most beautiful, uncrowded beaches in the United States as well as other scenic wonders. Applications are being accepted now for Fall 2017. Assistantships are available for qualified individuals. Minorities and women are especially encouraged to apply. Applicants should hold, by the time of entry into the graduate program, a baccalaureate degree in a natural science, engineering, computer science, mathematics, or statistics. Interested applicants should go to http://www.sc.fsu.edu/graduate/application, where detailed instructions about how to apply are given. Requests for more information and questions about the graduate programs or about the Department of Scientific Computing should be addressed to Dr. Sachin Shanbhag (Graduate Coordinator) at sshanbhag(a)fsu.edu or Gordon Erlebacher (Chair) at gerlebacher(a)fsu.edu. -- Gordon Erlebacher Chair, Department of Scientific Computing

Nov. 28, 2016