November 2015 - Comp-neuro - lists.cnsorg.org

postdoctoral position in computational neuroscience in Barcelona
by Alex Roxin 24 Nov '15

24 Nov '15

The Computational Neuroscience Group at the Centre de Recerca Matemàtica in Barcelona, Spain is looking for applicants for a postdoctoral position. Applicants will apply through a call from the Barcelona Graduate Schoool of Mathematics, which is now open. The deadline for application is the 15th of January 2016. There are a total of four positions in all areas of mathematics and as such this call will be highly competitive. Candidates with a very strong mathematics background and interest in computational neuroscience are encouraged to apply. No previous neuroscience experience is required. To apply please go to http://www.bgsmath.cat/postdoc-call-nov-2015/ If you have any questions regarding the Computational Neuroscience Group at the CRM, please contact Alex Roxin at aroxin(a)crm.cat. Alex Roxin Computational Neuroscience Group Centre de Recerca Matemàtica Campus de Bellaterra, Edifici C 08193 Bellaterra (Barcelona) Spain +34-935-868-508 aroxin(a)crm.cat https://sites.google.com/site/alexanderroxin/home

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Postdoc position in neural engineering for a system designer to design, implement, and test a novel noninvasive neural recording system (CMU, Pittsburgh)
by Pulkit Grover 24 Nov '15

24 Nov '15

A team of three engineers (Grover, Weldon, Kelly) is seeking an interdisciplinary postdoctoral fellow for a 1 year position (extendable, depending on fit and progress) to design, implement and experimentally test, a high density neural recording system. The ongoing project will leverage results obtained by the investigators to disrupt neural recording systems as they exist, providing novel solutions to long-standing open problems of clinical and neuroscientific relevance. A successful candidate will be paid competitively. The overall team comprises: * Pulkit Grover (Information theory, signal processing, circuits, CMU ECE and CNBC) * Jeffrey Weldon (circuits, devices, CMU ECE) * Shawn Kelly (circuits, devices, neural implants, CMU ECE and ICES) * Marlene Behrmann (neuroscience, member of National Academy of Sciences, CMU Psych and CNBC) * Michael Tarr (neuroscience, head of psychology, CMU Psych and CNBC) * Dr. Mark Richardson (Director, Adult Epilepsy and Movement Disorders Surgery and Brain Modulation Lab, University of Pittsburgh and CNBC) The candidate will be expected to interact regularly with the first three, and intermittently with the rest, to lead this project. Preferred skills: System-level design and hardware implementation experience is a must. Experience in board design will be helpful. Expertise in MATLAB, circuits, neuroengineering/neuroscience, signal processing, information theory, devices, is helpful but not necessary. The team also includes one Ph.D. and six undergraduate students working on information theory and circuit design for these systems, and actively collaborates with faculty in psychology and neuroscience, and clinicians. The fellow is expected to focus on system design, implementation, and testing. The concepts and implementation developed by our group lay the foundation for this project. Within one year, the fellow is expected to: * Lead design and implementation of an ongoing high-density neural recording system project at CMU (using off-the-shelf components), and * (Collaboratively) experimentally validate it, neuroscientifically and clinically. As such, this is a challenging yet accomplishable postdoctoral position providing a unique interdisciplinary opportunity to the applicants. Applicants should hold a PhD. Those with a mix of board-design, circuits-design, and/or signal processing/optimization/bioengineering background, with interest in neuroscience/neuroengineering/bioengineering, are especially encouraged to apply. Interested applicants should send a letter of interest, a CV, and the names and contact information for 3 researchers who can provide a recommendation: pulkit(a)cmu.edu, jweldon(a)andrew.cmu.edu, skkelly(a)andrew.cmu.edu . For further information, please send an email to the three email addresses as well. The position is available immediately and applications will be considered until the position is filled.

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PhD openings in Computational Brain at Rutgers
by Konstantinos Michmizos 24 Nov '15

24 Nov '15

The Laboratory for Computational Brain Modeling and Analysis at Rutgers University has several funded openings for PhD students in Computational Brain Our Lab is part of the CS Department, which has been consistently ranked at the top-35 CS Departments in U.S. We are searching for Renaissance types who are broadly trained and can march across disciplines to find solutions In addition to Computer Science, there are 5 areas of knowledge required for a successful presence in the Lab - robotics, signal analysis, system identification, mathematics and neurophysiology When you come (or when you leave), you are expected to be proficient in at least three of these areas Interested students could send a 1-page summary of their background and how it relates to the Computational Brain Analysis and Modeling as well as their CV to: konstantinos.michmizos(a)cs.rutgers.edu, with email subject: PhD_openings-Comp_Neuro-2016 === Applying Please note the PhD admission criteria for the CS Department, listed at https://www.cs.rutgers.edu/graduate/faq.whtml The deadline to be considered for the Fall semester of 2016 is January 1st All complete applications should be submitted through our online application system http://gradstudy.rutgers.edu === Papers For the most recent papers relevant to these opportunities, interested students are invited to consult the following articles KP Michmizos, S Rossi, E Castelli, P Cappa, HI Krebs (2015) Robot-Aided Neurorehabilitation: A Pediatric Robot for Ankle Rehabilitation. IEEE Transactions on Neural Systems and Rehabilitation Engineering, pp. 1-11, doi: 10.1109/TNSRE.2015.2410773 S Khan, KP Michmizos, M Tommerdahl, S Ganesan, M Kitzbichler, M Zetino, K Garel, M Herbert, M Hamalainen, T Kenet (2015) Somatosensory cortex functional connectivity abnormalities in autism show opposite trends, depending on direction and spatial scale. Brain, doi: http://dx.doi.org/10.1093/brain/awv043 === COMBRA Lab COMBRA Lab has ongoing collaborations with research labs at MIT and McGill University as well as clinical sites at Harvard Medical School and the Robert Wood Johnson University Hospital The Lab is integrated into the Center for Computational Biomedicine Imaging and Modeling (CBIM) Center, a highly multidisciplinary Center at Rutgers that includes research labs on human motion capture experiments, machine learning and robotics === Rutgers University Rutgers University is the 8th-oldest college in the United States, one of the top-50 universities in the world with 250 years of innovation in research and teaching Rutgers is in the middle of the greatest concentration of industrial and government research laboratories in the U.S., within 1-hour drive to Manhattan, NY and Philadelphia -- -- combra.cs.rutgers.edu ----------------------------------------------------- Konstantinos Michmizos Assistant Professor Head Computational Brain Modeling and Analysis Lab Computational Biomedicine Imaging and Modeling Center Department of Computer Science Rutgers University

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Postdoctoral position in Computational or Experimental Social Neuroscience
by Emmanuelle Tognoli 23 Nov '15

23 Nov '15

The Human Brain and Behavior Laboratory (HBBL), Center for Complex Systems and Brain Sciences at Florida Atlantic University (FAU) invites applications for a Postdoctoral position for its research program in Social Neuroscience. The aim of this research program is to advance our understanding of basic forms of real-time social behavior, with a three-pronged approach that combines (1) experimental studies aimed at elucidating how neuromarkers are organized dynamically during the course of social interaction (2) the design and analysis of the Human Dynamic Clamp (reciprocal coupling between humans and mathematical models of a social partner) and (3) multiscale neurocomputational modeling of both structure and function. The postdoctoral scientist will be highly motivated and able to work independently. He/she will also collaborate within an interdisciplinary team of researchers whose expertise spans Neuroscience, Psychology and Physics. The successful applicant will contribute to the design and conduct of neurobehavioral experiments, and/or to theoretical modeling in which social interactions are treated as meaningfully coupled dynamical systems (Coordination Dynamics). Candidates should have a PhD degree or equivalent. Experience or willingness to learn in one or more relevant domains will be considered an advantage: - Theoretical modeling, dynamical systems - Preparation and conduct of social, neurobehavioral and neurocognitive experiments - Recording and analysis of brain activity and behavior (e.g. EEG, MEG, fMRI, etc) - Digital signal processing and statistical analysis - Programming (Matlab, C, visual basic), - Excellent writing skills The position will be for one year with a possibility of extension depending on satisfactory progress. Salary will be commensurable with experience. Review of applications will begin immediately and continue until the position is filled. Qualified candidates should send a CV and arrange for 3 reference letters via email to: J. A. Scott Kelso & Emmanuelle Tognoli, kelso(a)ccs.fau.edu, tognoli(a)ccs.fau.edu http://www.ccs.fau.edu/hbbl3/ HBBL, Center for Complex Systems & Brain Sciences, Florida Atlantic University, Boca Raton, FL USA -- This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean.

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ICLR 2016 Open Call for Comments
by Hugo Larochelle 23 Nov '15

23 Nov '15

Call for Public Comments on Submissions International Conference on Learning Representations (ICLR 2016) Caribe Hilton, San Juan, Puerto Rico, May 2-4, 2016 http://www.iclr.cc/ The program committee for the International Conference on Learning Representations (ICLR 2016) invites public comments on all ICLR 2016 submissions. Under ICLR's open reviewing model anyone may provide comments on submitted papers as part of the review process. Please note that these comments will be attributed (non-anonymous) and public. To participate, visit: https://cmt.research.microsoft.com/ICLR2016Conference/Protected/PublicComme… Access requires a CMT account. If you don't have one already, go here: https://cmt.research.microsoft.com/ICLR2016Conference/Public/SignUp.aspx If you have any questions, please send them to iclr2016.programchairs(a)gmail.com<mailto:iclr2016.programchairs@gmail.com> . Hugo, Brian, Samy -- ICLR 2016 program chairs

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Opening for Postdoc/Assist.Prof. on principles of brain computation and learning
by Wolfgang Maass 21 Nov '15

21 Nov '15

We are inviting applications for a position as Postdoc (combined with a part time position as Assistant Professor, 6 year contract; teaching language: English) in our Institute. Starting date: between 1.1. and 1.3. 2016. Applicants should combine a strong grounding in mathematics/theory, machine learning, and computational neuroscience with a genuine interest in understanding the implications of new experimental data for principles of brain computation and learning. An excellent research record, team working capability, and computer simulation experience is desired. Please send your CV, publication list, a sketch of your research interests, email addresses of referees, and key publications (pdf or URL) by December 6 to my assistant Daniela Potzinger: daniela.potzinger(a)igi.tugraz.at -- Prof. Dr. Wolfgang Maass Institute for Foundations of Information Processing Graz University of Techology, Austria http://www.igi.tugraz.at/maass/Welcome.html

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UCLA Statistics/Mathematics Faculty Search
by Mayur Mudigonda 21 Nov '15

21 Nov '15

UCLA Statistics/Mathematics Faculty Search Open-ranked faculty position (tenure-track Assistant Professor or tenured Associate/Full Professor) split in the Department of Statistics (50%) and Department of Mathematics (50%) at the University of California, Los Angeles. We seek outstanding applicants contributing to the cutting edge development of machine learning, big data or data science. We welcome applicants whose experience in research, teaching and service has prepared them to contribute to UCLA’s commitment to excellence and diversity. Ph.D. in Mathematics, Statistics, or a related field is required by date of anticipated appointment of July 1, 2016. Salary will be commensurate with education and experience. Please refer to Tracking Job #JPF01740 on all correspondence. Reviews for the position will commence on Nov 15, 2015 and will continue until a successful candidate is identified. Interested applicants should apply at UCLA Academic Recruit at: https://recruit.apo.ucla.edu/apply/JPF01740 The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see: UC Nondiscrimination & Affirmative Action Policy at: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct Applicants should submit: 1) CV 2) Cover letter describing how their qualifications and interests would fit with the position description 3) Two representative publications (or preprints) 4) Statement of research 5) Statement of teaching 6) Three letters of recommendation All inquiries may be sent to Chie Ryu at <%63%68%69%65%2e%72%79%75%40%73%74%61%74%2e%75%63%6c%61%2e%65%64%75> chie.ryu(a)stat.ucla.edu. M redwood.berkeley.edu/mayur

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Tenure-track, postdoc and PhD positions at University of Utah
by Alla Borisyuk 20 Nov '15

20 Nov '15

There are fully funded tenure-track, postdoctoral and graduate positions available at the Department of Mathematics of the University of Utah. The positions are open to hiring in all areas of math, including mathematical biology. Our campus has a lively and interactive neuroscience and computational neuroscience community, with many opportunities for learning and collaboration, and we welcome new members, from students to faculty. We are located in the beautiful Salt Lake City. It is a vibrant urban community with easy access to national parks, world-class skiing, hiking and biking, and an easily accessible international airport. For more information please see the following links or contact me with any questions at borisyuk at math.utah.edu. For tenure-track and postdoctoral: http://www.math.utah.edu/positions/ For graduate studies: http://www.math.utah.edu/grad/

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Faculty positions at Imperial College London
by Claudia Clopath 20 Nov '15

20 Nov '15

Faculty positions at Imperial College London (at the Assistant and Associate Professor level). We are looking for expertise at the interface between neuroscience and engineering, in the broad sense. New hires would be invited to join the Centre for Neurotechnology (http://www.imperial .ac.uk/neurotechnology). Deadline: Dec 4th 2015. Details: http://www.nature.com/naturejobs/science/jobs/552975-lecturers-senior-lectu… Best, Claudia Clopath Imperial College London http://www.bg.ic.ac.uk/research/c.clopath/lab

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Geilo Winter School 2016: Scientific Visualization
by Hans Ekkehard Plesser 20 Nov '15

20 Nov '15

The 16th Geilo Winter School will take place January 17-22 2015 at Dr. Holms Hotel, Geilo. As you may already know, this year's topic is Scientific Visualization. As you can see from the preliminary program (http://goo.gl/LTfwMF) this year's winter school will cover multiple aspects of scientific visualization, a topic we hope many of you find interesting. Visualization is an integral part of science, and a necessity for our understanding of complex processes and data. The word itself can have a broad interpretation, including creating trivial plots of values, advanced rendering techniques, and complex statistical data reasoning. This winter school will target the process of understanding data through scientific visualization, and focus on extracting knowledge from data. With hands-on exercises, you will learn techniques, tools, and best practices for extracting knowledge from data. We are still awaiting confirmation from a couple of interesting speakers, so expect that the program will expand in the coming time. As in previous years, there will also be a poster session on Wednesday, where participants are encouraged to present their own research. You can find more information about the winter school on the brand new webpages, http://www.sintef.no/GeiloWinterSchool/, and you can follow the school on Facebook as well, https://www.facebook.com/geilowinterschool/. Important information: - Registration deadline: December 17th, 2015. - Registration page: http://goo.gl/lkTB07 - Webpage: http://www.sintef.no/GeiloWinterSchool/ - Cost: Free to attend, but participants cover own travel and accommodation at Dr. Holms. See registration page for details. Kind regards, Hans Ekkehard Plesser -- Dr. Hans Ekkehard Plesser, Associate Professor Section Head Dept. of Mathematical Sciences and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no Home http://arken.umb.no/~plesser

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