- Comp-neuro - lists.cnsorg.org

NIH/NSF funded postdoc (U Penn/U Houston/CU Boulder)

by Zachary Kilpatrick

We are seeking a postdoctoral fellow to join an NIH/NSF funded interdisciplinary project that includes Joshua Gold (University of Pennsylvania), Krešo Josić (University of Houston), and Zack Kilpatrick (University of Colorado, Boulder). Our aim is to understand how the brain accumulates evidence in dynamic environments. The project is guided by the overriding hypothesis that brain networks involved in decision-making computations incorporate learned expectations of the environment to implement adaptive decision-making. We seek a candidate who can work at the interface of experimental, computational, and theoretical neuroscience. As part of an interdisciplinary team, The candidate will develop models of neural circuits that approximate normative evidence accumulation in dynamic environments. The candidate will also help to validate these models, using behavioral data from humans and neural recordings from primates performing dynamic decision tasks. For further information please contact Krešimir Josić (josic(a)math.uh.edu <mailto:josic@math.uh.edu>) or Zack Kilpatrick (zpkilpat(a)colorado.edu <mailto:zpkilpat@colorado.edu>)

Sept. 28, 2017

Winter School on Deterministic & Stochastic Models in Neuroscience in Toulouse: December 11 to 15, 2017

by Zachary Kilpatrick

We are glad to announce that from the 11th to the 15th of December 2017 will take place a Winter School on Deterministic and Stochastic Models in Neuroscience at the Institut de Mathématiques de Toulouse in France. The main objective of this event is to organise a winter school around stochastic and deterministic models arising in neuroscience by providing a series of lectures given by internationally reknown speakers for a broad audience (graduate students, PhD students, Postdoctorates, researchers and professors) along with specific research talks. This winter school will showcase some recent and ongoing modeling problems in neuroscience with a strong emphasis on the stochastic and deterministic methods developped to treat them. There will be two lectures dedicated to stochastic methods and two for deterministic ones. The research talks will complement and enlarge these courses with for example topcis on neural field equations, numerical methods or kinetic models of neuronal networks. The webpage of the event can be found here: http://www.cimi.univ-toulouse.fr/mib/en/School-DSMN <http://www.cimi.univ-toulouse.fr/mib/en/School-DSMN> Please note that there will be financial support for a selected number of students (graduate students, PhD students, Post-doctorates) covering local expenses: hotel, metro tickets and food. Students can apply here: http://www.cimi.univ-toulouse.fr/en/registration-winter-school-deterministi… <http://www.cimi.univ-toulouse.fr/en/registration-winter-school-deterministi…> The registration for the winter school is free but mandatory. Lunches and a diner buffet will be covered by the conference. Scientific organizers Patrick Cattiaux & Grégory Faye

Sept. 28, 2017

Theoretical/Statistical Neuroscience Faculty Openings at Columbia

by Allison Ong

Dear Colleague, Columbia has announced a search for two faculty positions in theoretical/statistical neuroscience that are described below (also attached). We would appreciate it if you could forward this information to any interested candidates. We will start to evaluate applications on December 1, 2017. Here is a link to the announcement and the site for applying: academicjobs.columbia.edu/applicants/Central?quickFind=65051 Thanks and Best Wishes, Larry Abbott and Liam Paninski *Two Junior Faculty Position in Theoretical / Statistical Neuroscience* The Department of Neuroscience, the Department of Statistics, and the Mortimer B. Zuckerman Mind Brain Behavior Institute at Columbia University invite applications for two tenure-track positions at the Assistant or Associate Professor level, to begin in 2018. One position will focus on theoretical neuroscience with an appointment in the Department of Neuroscience. The other position will focus on the application of statistics to neuroscience with an appointment in the Department of Statistics. Both positions will include appointments as well as office and laboratory space in the Center for Theoretical Neuroscience and the Grossman Center of the Statistics of Mind within the Mortimer B. Zuckerman Mind Brain Behavior Institute housed in the Jerome L. Greene Science Center at Columbia. The Zuckerman Institute brings together scientists from diverse backgrounds whose research focuses on brain function, wiring, and development. We are seeking dynamic scientists interested in exploiting this multidisciplinary environment by interacting with Zuckerman Institute faculty as well as with others in the Columbia neuroscience, biological sciences, physical sciences, statistics, and machine learning communities, including the Data Science Institute. Zuckerman Institute faculty will function as full members of their home departments: tenure will be granted by the home department and faculty will contribute to teaching in their home departments and the Zuckerman Institute. Candidates will be expected to show expertise and an ability to lead a research program in theoretical and/or statistical neuroscience. Applicants are expected to have a strong record of scientific achievement and to demonstrate the ability to engage in innovative research and teaching. Applicants should hold a PhD in neuroscience, statistics, or a related area. Applications should be submitted through this link: academicjobs.columbia.edu/applicants/Central?quickFind=65051 The following documents should be uploaded with your application: cover letter, CV, research plan, teaching statement, three letters of reference or a listing of at least three references that can be contacted, and the inclusion of one or two publications. Women and minorities are strongly encouraged to apply. We will start to evaluate applications on December 1, 2017. Columbia University is an Equal Opportunity/Affirmative Action employer --Race/Gender/Disability/Veteran.

Sept. 28, 2017

Postdoctoral position in theoretical neuroscience at NYU

by Cristina Savin

Applications are invited for a postdoctoral scholar position in the Savin group at NYU. We are looking for an innovative and enthusiastic researcher with a strong quantitative background (e.g. Math, Physics, Computer Science) and experience in Neuroscience research and/or Machine Learning. The lab uses theoretical tools based on machine learning and statistics to study the neural correlates of learning and memory at the circuit level. For information about recent publications and ongoing projects see: www.cns.nyu.edu/~csavin <http://www.cns.nyu.edu/~csavin> Potential topics include: - probabilistic computation in neural circuits and its neural signatures, with a focus on learning - circuit level models of memory that aim to explain human memory behavior The postdoc will be part of a large and intellectually vibrant community of researchers from the Center for Neuroscience and the Centre for Data Science at NYU. The position is funded for 2 years, with an initial one-year appointment and expectation of extension contingent on satisfactory progress. Please submit your application to csavin(a)nyu.edu <mailto:csavin@nyu.edu> including: - CV - a statement of research interests - contact details of three people that are familiar with your work

Sept. 27, 2017

Postdoctoral position in Virtual Neuroprosthesis

by Emmanuelle Tognoli

http://www.ccs.fau.edu/~tognoli/virtualNeuroprosthesis.html The BioRobotics Lab at Florida Atlantic University (FAU) invites applications for a NIH NIBIB-funded Postdoctoral position to develop a Virtual Neuroprosthesis aimed at providing a sense of touch in amputees and limb-absent people. Candidates should have a PhD in one of the following degrees: mechanical engineering, electrical engineering, biomedical engineering, bioengineering or related, with interest and/or experience in transdisciplinary work at the intersection of robotic hands, biology, and biomedical systems. Prior experience in the neural field will be considered an advantage, though not a necessity. Underrepresented minorities and women are warmly encouraged to apply. The postdoctoral researcher will be co-advised across the department of Mechanical Engineering and the Center for Complex Systems & Brain Sciences through an interdisciplinary team whose expertise spans Robotics, Microfluidics, Behavioral and Clinical Neuroscience and Orthopedic Surgery. The position will be for one year with a possibility of extension based on performance. Salary will be commensurate with experience and qualifications. Review of applications will begin immediately and continue until the position is filled. The application should include: (1) a cover letter with research interests and experiences, (2) a CV, (3) names and contact information for three professional references. Qualified candidates should send contact: tognoli(a)ccs.fau.edu -- This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean.

Sept. 27, 2017

PostDoctoral Position at the LMU (Munich) : dissection of functional cortical network dynamics

by Anton Sirota

*Post-Doctoral* position is available *immediately* at the laboratory of Prof. Anton Sirota at the Ludwig-Maximilians University München (Germany) for the research project that is part of international interdisciplinary collaborative research consortium BrainCom (http://www.braincom-project.eu) The goal of the project is to identify decoding capacity of the network dynamics across cortical circuits derived from the multichannel surface and depth cortical field potential recordings for applications to neuroprosthetics. As a corollary, we aim to develop, for the first time, experimentally-derived circuit-level forward model for the depth and surface cortical field potentials. The project will combine extracellular recordings using newly-developed very large scale high density multichannel arrays with optogenetic circuit-specific manipulation and quantitative behavior analysis in rodents, as well as novel analytical approaches. Project will be integrated into diverse and innovative research program of the Sirota lab (http://cogneuro.bio.lmu.de) Our laboratory is part of Bernstein Centre for Computational Neuroscience Munich (http://www.bccn-munich.de) Munich Cluster for Systems Neurology (http://www.synergy-munich.de) and the Graduate School of Systemic Neurosciences (http://www.gsn.uni-muenchen.de) Applicants are expected to be highly motivated, hard working, creative and capable of independent, analytical and critical thinking. PhD in neuroscience and a strong background in physics, computer science or engineering are required. Solid experience in in vivo electrophysiology, optogenetics and computational neuroscience is highly desirable. Strong quantitative and technical skills are a must. Good knowledge of signal processing and machine learning is a plus. Proficiency in English and good written and oral communication skills are a prerequisite. Good social and teamwork, as well as excellent organizational skills, are expected. Candidates are expected to have first author peer-reviewed publication record. Employment is according to the state employees salary scheme (TV-L/E13) and is initially for 1 year with the option for extension.Candidate selection will be open until the position is filled. LMU Munich is an equal opportunity employer. Applications of women and disabled persons, given similar qualification, are preferred. Applications should include a full CV, a 1 page statement of past experience, research interests, and career goals, along with contact information of at least 2 referees. Please, send your application electronically as a single PDF file to Dr Anton Sirota at sirota(a)bio.lmu.de

Sept. 27, 2017

Postdoctoral positions in theoretical neuroscience

by Brent Doiron

The Doiron group at the University of Pittsburgh (www.math.pitt.edu/~bdoiron) is currently seeking up to two postdoctoral fellows to work on cutting edge problems in theoretical neuroscience. Research topics include: 1) The genesis and consequences of neuronal variability in cortical networks 2) Biologically realistic modeling of assembly formation in cortical circuits 3) How learning and memory impact population codes All projects will involve heavy collaboration with several prominent experimental groups (primate and rodent) both in Pittsburgh as well as abroad. The positions are 3-year terms (contingent upon satisfactory progress) with competitive salary and benefits packages offered by the University of Pittsburgh. The successful candidate will join the Mathematics department at the University of Pittsburgh (www.math.pitt.edu) and will have strong ties to the Center for the Neural Basis of Cognition in Pittsburgh (http://www.cnbc.cmu.edu) Candidates should have a Ph.D. in computational neuroscience, mathematics, physics, or engineering and have an excellent track record of scholarship. The University of Pittsburgh is an affirmative action/equal opportunity employer and encourages applications from under-represented groups. Interested persons should send their CV, a cover letter stating research interests and career goals, and names and contact information of two references to bdoiron(a)pitt.edu . The competition will remain open until the positions are filled. Best Brent -- Professor of Mathematics Center for the Neural Basis of Cognition University of Pittsburgh 301 Thackeray Hall Pittsburgh, PA, 15260 www.math.pitt.edu/~bdoiron

Sept. 27, 2017

Job Announcement: Computational Neuroscience RA

by Stacie Warren

Dear Colleagues, A Computational Neuroscience Research Assistant position is currently available at Palo Alto University to support the Clinical Cognitive and Affective Neuroscience Programs directed by Stacie L. Warren, PhD and Tilman Schulte, PhD. This is an exciting opportunity to work on a range of cognitive and affective studies that focus on executive function, emotion regulation, stress responsivity, reward processing, and aging on neural circuitry. Populations of interest include healthy adults, adults with or at risk for developing psychopathology, and neurological disorders. Opportunities to develop and apply novel data analysis techniques, to co-author research publications, and to assist with similar studies in children through a partnership with Stanford University are also available. Primary Responsibilities: Developing software/scripts to implement algorithms for data quality control, preprocessing, analysis, and management. Developing and implementing statistical/mathematical modeling (e.g., machine learning algorithms) to characterize high-dimensional datasets. Assisting with analyzing neuroimaging research data using neuroimaging-specific programs and/or software (e.g., FSL, Freesurfer, SPM, AFNI). Qualifications: BA/BS in a relevant field by the time of appointment. Proficiency in programming (e.g., Matlab, Python, C/C++, java) and shell scripting. Proficiency with Linux OS and file system. Experience with any of the following: signal and image processing, machine learning, statistical/mathematical modeling. Excellent organizational and interpersonal communication skills are required. Strong background in biomedical engineering, computer science, applied mathematics, statistics, computational neuroscience, quantitative psychology, or related subjects. Experience in neuroimaging data analysis is desired. A two-year commitment is required. This is a full-time position with a competitive salary and benefits. To apply, send a CV, a cover letter stating your research interests and career goals, and contact information for three references to swarren(a)paloaltou.edu. Review of applications will begin immediately. -- Stacie L. Warren, Ph.D. Assistant Professor Clinical Psychology Ph.D. Program Palo Alto University 1791 Arastradero Rd. Palo Alto, CA 94304 email: swarren(a)paloaltou.edu <staciewarren3(a)gmail.com>

Sept. 26, 2017

Postdoctoral positions in neural coding - IIT Rovereto, Italy

by Stefano Panzeri

We are seeking candidates for up to three postdoctoral position in computational neuroscience in the Neural Computation Laboratory at the IIT ( http://cncs.iit.it/labs/neural-computation ) directed by Stefano Panzeri ( https://www.iit.it/people/stefano-panzeri) and located in Rovereto (Trento), Italy. This laboratory aims to crack the neural code using neural network modeling and computational analyses of neurophysiological experiments. The laboratory offers a range of strongly interdisciplinary expertise in computational neuroscience, including information theory and other types of advanced single-trial neural analyses, advanced spectral analysis, and biophysically plausible neural network modeling. The successful candidate will develop and use tools for the analysis of large-scale simultaneous recordings of the spiking activity of cells in the cortex to understand how populations of neurons carry information. The successful candidate would have the opportunity to benefit from an extensive set of existing collaborations with leading neurophysiological laboratories, including those of Nikos Logothetis at Max Planck Tubingen (collaborating on oscillations, sensory information coding and neuromodulation), Tommaso Fellin at IIT (collaborating on Optogenetics, Neurophysiology and Neural coding), Mathew Diamond at SISSA (collaborating on the behavioral impact of information carried by spike timing), and Christopher Harvey at Harvard Medical School (collaborating on neural population dynamics and decision making). We are willing to consider candidates interested in any of the aspects of neural coding of interest to the laboratory. Candidates must hold a PhD in a numerate scientific discipline. They must be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and be willing to interact with both experimental and theoretical neuroscientists. For reference to recent work of the lab please see : Runyan C. A., et al (2017) Distinct timescales of population coding across cortex, Nature: 548: 92-96. Panzeri S., et al (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behaviour. Neuron 93: 491-507 Safaai, H., et al (2015) Modelling the effect of Locus Coeruleous firing on single trial cortical state dynamics and sensory processing. Proc. Natl. Acad. Sci. USA 112(41): 12834–12839 Zuo Y, et al (2015) Spike timing and spike rate make complementary contributions to perceptual decisions in rat S1 and S2 cortex. Current Biology 25: 357-363 Besserve M, et al (2015) Shifts of gamma phase across primary visual cortical sites reflect dynamic stimulus- modulated information transfer. PLoS Biology 13(9): e1002257 The formal deadline for applications is Oct 15th 2017. However, interested candidates are advised to contact informally Stefano Panzeri ( stefano.panzeri(a)iit.it) *as soon as possible*. The formal application should be sent by email to selezioni(a)iit.it and to Stefano Panzeri (*stefano.panzeri(a)iit.it) <stefano.panzeri(a)iit.it)>*. The formal application should contain the applicant’s CV, a brief statement of research interests, and names and email addresses of 2 or 3 referees. Thanks Stefano Panzeri

Sept. 26, 2017

postdoctoral positions in brain-inspired computing at Sandia National Laboratories

by Chance, Frances S.

**apologies for the multiple emails from Sandia – this is an advertisement for a separate postdoctoral position than the computational neuroscience postdoc that was advertised last week. I’m very excited to see the neuroscience community at Sandia grow - I think a number of persons on this list have appropriate backgrounds for either position and would encourage those persons to apply to both. Colleagues, We are seeking a Postdoctoral Appointee to join an interdisciplinary research program focused on state-of-the-art computational and mathematical approaches and applications for brain-inspired computing. The neural computing group includes researchers with expertise in machine learning, cognitive science, neuroscience, physics, engineering, mathematics, and data analytics. Current research topics of interest include developing neural models and novel adaptive machine learning algorithms, as well as applying machine learning to develop new neuromorphic computing approaches. Some information on Sandia's neural-inspired computing research can be found at http://neuroscience.sandia.gov/. To apply, visit http://www.sandia.gov/careers/ and click "View All Jobs". Enter "658203" into the search box to locate this posting. For questions please contact William Severa (wmsever(a)sandia.gov<mailto:wmsever@sandia.gov<mailto:wmsever@sandia.gov%3cmailto:wmsever@sandia.gov>>) or Craig Vineyard (cmviney(a)sandia.gov<mailto:cmviney@sandia.gov<mailto:cmviney@sandia.gov%3cmailto:cmviney@sandia.gov>>). Additionally, we also encourage potential applicants to consider several of Sandia's laboratory wide fellowships for recent PhD graduates, including the John von Neumann Fellowship (http://www.sandia.gov/careers/students_postdocs/fellowships/johnvonneumann_…) in computational sciences and the inaugural Jill Hruby Fellowship (http://www.sandia.gov/careers/students_postdocs/fellowships/hruby_fellowshi…) While an offer of employment is not contingent upon receiving one of these fellowships, a number of them do have deadlines in the coming months.

Sept. 25, 2017

Research Associate in Functional Brain Mapping

by Dheeraj Rathee

*Dear All,* *Research Associate in Functional Brain Mapping * Applications are invited for a Post-Doctoral Research Associate (PDRA) in functional brain mapping (FBM) to work on a project aimed at discovering neuromarkers that facilitate stratification of patients with Alzheimer´s disease. The position is currently for 2 years, with possibility for further extension subject to securing funder’s approval. *Ref*( http://www.jobs.ac.uk/job/BEA525/research-associate-in-functional-brain-map… ) : 2752/ 1672326 *Location:* Ulster University, Magee campus, Derry~Londonderry, Northern Ireland, UK. *Salary*: £27,300 to £40,015 *Closing Date*: 4th October 2017 *Duties: *The successful candidate will use MEG data recorded during cognitive tasks, stimulations, and resting state protocols to explore functional connectivity and other appropriate measures for characterizing individuals with different stages of AD and detecting individuals at the risk of developing AD. S/he will also develop and evaluate methods for assessing treatment effects on individuals with AD in collaboration with industry. *Northern Ireland Functional Brain Mapping (NIFBM) facility: *The NIFBM is located at the Intelligent Systems Research Centre ( https://www.ulster.ac.uk/research/institutes/computer-science/groups/intell… ) of Ulster University, Magee campus, Derry~Londonderry. It is the only brain imaging facility anywhere in Ireland and only one of nine in whole of UK to use a state-of-the-art magnetoencephalography (MEG) to measure brain activity. The facility attracts clinicians and researchers from across Northern Ireland as well as Republic of Ireland. It is equipped with the latest whole head 306 channels Elekta Neuromag MEG TRIUX system, which also includes a 128-channel EEG recording system. We offer several advanced techniques for brain stimulation and analysis that allow us to obtain better results and guarantee a high quality service for both research and clinical applications. The ISRC is a major research unit in the Faculty of Computing, Engineering and the Built Environment and hosts around 80 researchers including academic staff, research associates and PhD students organized in four research teams: Neural Systems and Neuro-technology, Computational Neuroscience and Neural Engineering, Cognitive Robotics, and Ambient Intelligence and Virtual Worlds. Based at ISRC, the successful candidate will have an opportunity to interact with researchers from related ISRC teams as well as Biomedical Sciences Research Institute (5* research rating), and the recently developed Centre for Stratified Medicine at Ulster University. *Eligibility Requirements: *An eligible candidate should have a degree in Computing Science, Electronic Engineering, Physics, or a closely related discipline, or a higher degree in the same or related subjects. Applicants with other relevant degrees e.g. medicine, psychology, neuroscience or biomedical sciences may also be considered, subject to demonstration of substantial neuroimaging expertise. A PhD degree in an area relevant to the post is also an essential requirement. It is also required that a candidate: - Has extensive hands-on EEG/MEG experience including protocol design, setting up experiments and stimulations, and data acquisition; - Has strong skills and expertise in EEG/MEG analysis using modern tools such as Fieldtrip, SPM, MNE, and/or Brainstorm; - Has research track record in cognitive or clinical neuroscience supported by at least two high quality journal publications suitable for submission in to UK’s Research Excellence Framework (REF); - Is a self-motivated individual, enjoys working in a team and interacting with researchers and study participants. Please apply on-line by visiting either our university web-site http://www.ulster.ac.uk/jobs or the advertisement appearing at: http://www.jobs.ac.uk/job/BEA525/research-associate-in-functional-brain-map… For more information, please contact Prof. Girijesh Prasad, Principal Investigator & Director NIFBM facility. E-mail: g.prasad(a)ulster.ac.uk, Phone: 028 71675645. -------------------------------------------------------- [image: Ulster University] <http://www.ulster.ac.uk/> *Prof. Girijesh Prasad*, Professor of Intelligent Systems, Director, Northern Ireland Functional Brain Mapping facility for MEG studies, Intelligent Systems Research Centre, School of Computing & Intelligent Systems, Faculty of Computing & Engineering, Ulster University, Magee campus, Derry~ Londonderry BT48 7JL, N. Ireland, UK. *T:* +44 - (0)28 71 - 675645, 675409 *E:* g.prasad(a)ulster.ac.uk *W:* https://www.ulster.ac.uk/staff/g.prasad.html https://www.ulster.ac.uk/research/institutes/computer-science/groups/intell… *--------------------------* *Thanks & Regards* *Dheeraj Rathee* PhD Student Intelligent Systems Research Centre | Faculty of Computing and Engineering Ulster University (Magee Campus ) Northland Road, Derry Northern Ireland, UK BT 48 7JL Email Id: dheeraj.rathee(a)gmail.com | rathee-d(a)email.ulster.ac.uk Contact : +447459549514 Skype : dheeraj.rathee || Research Gate <https://www.researchgate.net/profile/Dheeraj_Rathee> || LinkedIn <https://in.linkedin.com/pub/dheeraj-rathee/97/162/2a8?domainCountryName=Ind…> *A 'Peaceful' Mind is a 'Productive' Mind. * *CONFIDENTIALITY NOTE : The information transmitted, including attachments, is intended only for the person(s) or entity to which it is addressed and may contain confidential and/or privileged material. Any review, re-transmission, dissemination or other use of, or taking of any action in reliance upon this information by person(s) or entities other than the intended recipient(s) is prohibited. If you have received this mail in error , please notify the sender and destroy any copies of the information. * * *************END OF DISCLAIMER*************** *

Sept. 25, 2017

Fully funded PhD student positions at IMPRS Brain and Behavior Bonn/Florida

by Jakob Macke

The INTERNATIONAL MAX PLANCK RESEARCH SCHOOL (IMPRS) FOR BRAIN AND BEHAVIOR is a transatlantic collaboration between the University of Bonn and the Max Planck associated Center for Advanced European Science and Research (caesar) along with the USA partners Florida Atlantic University and the Max Planck Florida Institute for Neuroscience (MPFI). We seek to fill at least 15 fully funded PhD student positions - NEUROSCIENCE OUR SCHOOL: The first of its kind to unite two Max Planck Institutes (caesar and MPFI) on both sides of the Atlantic, and their university partners (Bonn University and FAU): the IMPRS FOR BRAIN AND BEHAVIOR offers a competitive, English language, interdisciplinary, world-class PhD training and research program in the neurosciences. OUR RESEARCH: IMPRS for Brain and Behavior research projects address how sensory information is encoded in neural circuits and is transformed ultimately to behavior. This research ranges from understanding molecular signaling cascades in spines during learning to understanding how sensory and motor circuits are activated in the awake behaving animal. THE POSITIONS: More than 35 labs with an enormous variety of research projects are seeking outstanding PhD candidates to join their research. See our website for further information on our faculty and possible doctoral projects. Successful candidates will work in a young and dynamic, interdisciplinary, international environment, embedded in the local scientific communities in Bonn or Jupiter. YOUR PROFILE: Highly qualified and motivated aspiring PhD student from any nationality. Proven track record of academic and research excellence. Master’s degree (or equivalent) in biology, chemistry, physics, mathematics, computer science, engineering, or other relevant subject. Truly superior bachelor students may be considered. Fluency in written and spoken English. OUR OFFER: Immersion in a stimulating scientific culture of interaction and international cooperation. State-of-the art facilities with novel scientific technologies and advanced infrastructure. Dedicated support and mentoring personnel. Competitive salary funded for 3 years (extension possible) and no tuition fees. We are committed to diversity and equal opportunity for all applicants. Positions must be started not later than October 1, 2018. YOUR APPLICATION: Apply online at: http://www.imprs-brain-behavior.mpg.de by the December 1, 2017 deadline. Only applications submitted through the online portal will be considered! Short-listed candidates will be interviewed in March 12-13, 2018. CONTACT: Denise Butler, Coordinator (IMPRS.info(a)caesar.de)

Sept. 25, 2017

Several postdoctoral research positions in Statistical Neuroscience

by xaq pitkow

POSITION: We seek several highly motivated postdoctoral research fellows for a collaborative team project building statistical tools for interpreting large scale neural recordings. The fellows will develop new methods and applications of probabilistic graphical models to infer statistical interactions amongst neurons and with their environment. The tools will be validated in neural network simulations, tested in physiological recordings, and made widely available to the neuroscience community for understanding data from next-generation experiments. TEAM: Fellows will join principal investigators and theorists Krešimir Josić, Genevera Allen, Xaq Pitkow, Ankit Patel, and Robert Rosenbaum. The team will interact closely with experimentalists including co-Investigator Andreas Tolias and several other labs interested in applying novel methods we develop. Fellows will also be members of the new Center for Neuroscience and Artificial Intelligence housed at the Baylor College of Medicine and supported in part by the NSF NeuroNex program. The Center brings together interdisciplinary researchers from across Houston, including members from Baylor College of Medicine, Rice University, University of Houston, and University of Texas Health Sciences. Researchers at the Center contribute diverse expertise in fields including neuroscience, machine learning, statistics, physics, computer science, electrical engineering, and applied mathematics. QUALIFICATIONS: Candidates must have outstanding mathematical skills, a PhD in a relevant quantitative discipline, and expertise in probabilistic graphical models or statistical machine learning. APPLYING: Applicants should email a letter of research interests and CV to Camila Lopez (Camila.Lopez(a)bcm.edu) along with contact information for three references. We look forward to hearing from you!

Sept. 20, 2017

AMCOS save the date

by AMCOS Conference

SAVE THE DATE *AMCOS –** Analysis and Modeling of Complex Oscillatory Systems* March 19-23, 2018 Barcelona, Spain The *AMCOS conference* aims at bringing together renowned experts and young researchers who work on the modeling of complex systems and the emergence of collective phenomena, as well as on the analysis of complex data sets in order to infer structure and functionality of networks. Accompanying *tutorials* by leading experts will interactively introduce the different conference themes. Do you want to present your work? *Registration and abstract submission opens October 15, 2017*. More info at amcosconference.com. *Date and Venue* Tutorials: March 19, 2018 Conference: March 20 - 23, 2018 PRBB <http://www.prbb.org/>, Parc de Recerca Biomèdica de Barcelona *List of speakers* (*TBC) - Peter Ashwin, - Ernest Barreto, - Ginestra Bianconi*, - Raffaella Burioni, - Dante R. Chialvo, - Gustavo Deco, - Alain Destexhe*, - Albert Díaz-Guilera, - Jordi Garcia-Ojalvo, - Wulfram Gerstner*, - Leon Glass, - Sonja Grün, - Cristina Masoller, - Yamir Moreno, - Florian Mormann, - Hiroya Nakao*, - Diego Pazó, - Juan G. Restrepo, - Alex Roxin, - Tilo Schwalger*, - Damián H. Zanette. *Topics covered* synchronization and nonlinear dynamics - dynamics on networks - connectivity and network inference - data analysis in neuroscience - critical phenomena - neural field models - computational neuroscience - complex oscillatory behaviour in physiology *Tutorials* Leading experts in the field will introduce the different conference themes interactively in tutorials on the first day of the conference week. The speakers are: - Ralph G. Andrzejak, - Arkady Pikovsky, - Michael Rosenblum, - Aneta Stefanovska. A (tentative) list of topics comprises basic theory of synchronization, synchronization approach to data analysis, basic concepts of nonlinear time series analysis, and time series analysis of non-autonomous dynamics. The participants are required to bring laptops installed with MATLAB/Octave if they want to take part in the practical activities. *Organizers* The doctoral students (Early Stage Researchers <http://www.uni-potsdam.de/cosmos-itn/people/early-stage-researchers-esrs/>) of the H2020 Marie Curie project COSMOS <http://www.uni-potsdam.de/cosmos-itn/> . For further information see amcosconference.com or contact us via e-mail < amcosconference(a)upf.edu>. Please forward to anyone interested.

Sept. 20, 2017

postdoctoral positions in computational neuroscience at Sandia National Laboratories

by Chance, Frances S.

Colleagues, We are seeking a Postdoctoral Appointee to join an interdisciplinary research program focused on understanding neural computation at the circuit level. The neural computing group includes researchers with expertise in machine learning, cognitive science, neuroscience, physics, engineering, mathematics, and data analytics. Current research topics of interest include computational models of retina, visual cortex (or the neural circuitry underlying perception), and the hippocampus. More information on Sandia’s neuroscience research can be found at http://neuroscience.sandia.gov/. We are also encouraging potential applicants to look at several of Sandia’s laboratory wide fellowships for recent PhD graduates, including the John von Neumann Fellowship (http://www.sandia.gov/careers/students_postdocs/fellowships/johnvonneumann_…) in computational sciences and the inaugural Jill Hruby Fellowship (http://www.sandia.gov/careers/students_postdocs/fellowships/hruby_fellowshi…) While an offer of employment is not contingent upon receiving one of these fellowships, a number of them do have deadlines in the coming months. To apply, visit http://www.sandia.gov/careers/ and click "View All Jobs". Enter “658202” into the search box to locate this posting. For questions please contact Frances Chance (fschanc(a)sandia.gov<mailto:fschanc@sandia.gov>) or Brad Aimone (jbaimon(a)sandia.gov<mailto:jbaimon@sandia.gov>).

Sept. 19, 2017

post-doc positions to work on integrated information theory (IIT) with Prof. Giulio Tononi at University of Wisconsin-Madison

by Larissa Albantakis

*Post-doc position(s) to work on Integrated Information Theory (IIT) * Prof. Giulio Tononi, University of Wisconsin, Madison Several postdoctoral positions are available at the Wisconsin Institute for Sleep and Consciousness in the laboratory of Prof. Giulio Tononi to study complex systems within the framework of integrated information theory (IIT). Immediate funding is available for a range of projects including the foundational development of IIT’s mathematical framework, the development of practical measures of integrated information, and their applications to complex systems (biological and artificial). *Required:* - Strong training in an analytically rigorous discipline such as theoretical or computational biology/neuroscience, physics, mathematics, computer science, or engineering - Programming experience (knowledge of MATLAB, Python, and/or C++ is of advantage) * Preferred:* - Experience in information theory and complex systems - Interest in the philosophy of causation Appointments are renewable from year to year for up to three years, starting as soon as possible or until the positions are filled. Postdoc salaries correspond to the National Institutes of Health National Research Service Award (NRSA) stipend schedule for postdoc trainees, based on number of years of postdoctoral experience. Candidates should send a CV, brief statement (500 words maximum) describing their research interests and potential role within the lab, and email addresses and phone numbers of three references to: Giulio Tononi, MD, PhD (gtononi(a)wisc.edu) Note that generic applications will not be considered. To demonstrate a real interest in IIT, we strongly recommend applicants calculate the Φ value of a small network—three fully connected XOR logic gates, without self-loops, in state 0, 0, 0 (all off)—using the IIT online interface and include the result in the application email. For more information, see http://integratedinformationtheory.org/, or contact Larissa Albantakis, PhD (albantakis(a)wisc.edu) or William Marshall, PhD (wmarshall3(a)wisc.edu) -- Larissa Albantakis, PhD Department of Psychiatry University of Wisconsin 6001 Research Park Blvd Madison, WI 53719

Sept. 19, 2017

Postdoctoral position (Mathematical Neuroscience) at QIMRB, Brisbane Australia

by Matthew Aburn

Mathematical Neuroscience Research Fellow (full time 3 year appointment) - Innovative biomedical modelling - Attractive salary packaging & superannuation options This research fellow will pursue large-scale computational modelling and simulation of brain activity, and innovative analyses of time series and neuroimaging data, with particular focus on epilepsy. *Responsibilities* - You will contribute to developing and analysing new mathematical models of large-scale brain activity, including both biophysical neural mass models and networks of non-linear oscillators. - Simulate computational models on GPUs or high performance computing clusters, and collaborate in applying these to clinical and neuroscience research. - Perform innovative analyses of high-dimensional neurophysiological and neuroimaging data. - Contribute to experimental design and prepare manuscripts for related studies. - Participate in intra-mural group activities, including presentation at lab meetings and collaboration with other lab members and clinicians. *About you* Essential: The successful applicant will possess the following: PhD in mathematics, physics, bioengineering, computer sciences or related field; demonstrated ability to implement mathematical methods in code; evidence of strong oral and written communication skills. Desirable: Ideally candidates may also have a published track record in analysis of non-linear dynamical systems, particularly neural mass or neural field models or coupled non-linear oscillators; previous experience with GPU programming or high performance computing clusters; previous experience in neuroscience research; or expertise in time series analysis or signal processing. *About the lab* Led by Prof Michael Breakspear, the Systems Neuroscience Group (SNG) is an independent research team within QIMR Berghofer. The SNG is a multidisciplinary group who undertake innovative computational modelling and analysis of brain activity in health and disease. QIMR Berghofer is a world-leading translational medical research institute. Based in Brisbane, Australia and working in close collaboration with clinicians and other research institutes, QIMR Berghofer is home to more than 600 scientists, students and support staff. *Salary* Salary range is AUD $81,395-$84,257 per annum, plus up to 15.75% superannuation, and attractive salary packaging. This is a full time three year appointment. Closing date is 15 October 2017 Apply here: http://www.qimrberghofer.edu.au/careers/positions-vacant

Sept. 19, 2017

Postdoctoral position (Bayesian Computation) at QIMRB, Brisbane Australia

by Matthew Aburn

Bayesian Computation Research Fellow (full time 3 year appointment) - Cutting edge data science - Attractive salary packaging & superannuation options This research fellow will develop new systems for model selection and model-based prediction, combining large data sets from patient neuroimaging and intracranial recordings, with biophysical forward models of brain dynamics. *Responsibilities* - You will contribute to the design of systems for Bayesian inference on large data sets, to perform model selection, parameter estimation, data assimilation and prediction using forward models of brain dynamics. - Implement these methods on GPUs or high performance computing clusters, and collaborate in applying these to clinical and neuroscience research, including an application to diagnosis and treatment of epilepsy. - Perform innovative analyses of high-dimensional neurophysiological and neuroimaging data. - Contribute to experimental design and prepare manuscripts for related studies. - Participate in intra-mural group activities, including presentation at lab meetings and collaboration with other lab members and clinicians. *About you* Essential: The successful applicant will possess the following: PhD in mathematics, physics, statistics, bioengineering, computer sciences or related field; demonstrated ability to implement mathematical methods in code; and evidence of strong oral and written communication skills. Desirable: Ideally candidates may also have a published track record in applying computational Bayesian methods such as Sequential Monte Carlo, MCMC, Variational Bayes; previous experience with GPU programming or high performance computing clusters; previous experience in neuroscience research; or expertise in time series analysis or signal processing. *About the lab* Led by Prof Michael Breakspear, the Systems Neuroscience Group (SNG) is an independent research team within QIMR Berghofer. The SNG is a multidisciplinary group who undertake innovative computational modelling and analysis of brain activity in health and disease. QIMR Berghofer is a world-leading translational medical research institute. Based in Brisbane, Australia and working in close collaboration with clinicians and other research institutes, QIMR Berghofer is home to more than 600 scientists, students and support staff. *Salary* Salary range is AUD $81,395-$84,257 per annum, plus up to 15.75% superannuation, and attractive salary packaging. This is a full time three year appointment. Closing date is 15 October 2017 Apply here: http://www.qimrberghofer.edu.au/careers/positions-vacant

Sept. 19, 2017

University of British Columbia Murphy lab: PDF and Graduate students wanted, automated in vivo imaging and optogenetics in mouse cortex

by Tim Murphy

University of British Columbia Murphy lab: PDF and Graduate students wanted, automated in vivo imaging and optogenetics in mouse cortex. The Murphy lab at the University of British Columbia is looking for both graduate students and postdoctoral fellows to join a dynamic research team focused on the function of mouse cortex in both normal brain as well as models of stroke and neuropsychiatric disorders. <http://www.neuroscience.ubc.ca/faculty/murphy.html> http://www.neuroscience.ubc.ca/faculty/murphy.html Applicants should have experience in quantitative methods and computer programming and/or behavioral neuroscience. Software systems include both data acquisition and analysis using Python or/and Matlab. Current projects evolve around automated brain imaging/interventions using mouse home cages <https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4909937/> https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4909937/. The lab has a fully equipped maker space with a 3D printer and electronics and other hardware fabrication facilities. Future work includes integration of behavioral tasks, including go-, no-go- and fine motor control with automated brain imaging and optogenetic stimulation or inhibition. Projects are focused around two major disease areas, which include stroke and mouse models of neuropsychiatric disorders. The laboratory is part of the UBC Centre for Brain Health and the Graduate program in Neuroscience. These entities form a vibrant research community. Applicants are encouraged to apply directly to Tim Murphy and after an initial application are expected to include 3 letters of reference plus an undergraduate and graduate transcript. Salary and stipends are consistent with Canadian granting standards. Please write: <mailto:thmurphy@mail.ubc.ca> thmurphy(a)mail.ubc.ca Tim Murphy, PhD Professor Kinsmen Lab, Dept. of Psychiatry University of British Columbia 2255 Wesbrook Mall Detwiller Pavilion Rm. 4N1 Vancouver, B.C. V6T 1Z3 Canada 604-822-0705 office

Sept. 15, 2017

Postdoctoral fellowship in human intracranial electrophysiology: Cedars-Sinai Medical Center and California Institute of Technology

by Ueli Rutishauser

*** Apologies for multiple postings*** A postdoctoral position focused on investigating the neural mechanisms of learning and memory is available in the Laboratory of Ueli Rutishauser at Cedars-Sinai Medical Center and Caltech. The lab is broadly interested in human memory and decision making. We focus on understanding how new long-term memories are formed, how existing memories are retrieved to make choices, how memories for social stimuli such as faces are formed, and on utilizing this knowledge to develop new treatments for memory disorders. We utilize a combination of in-vivo electrophysiology (single-neuron and local field potential recordings), neuroimaging, computational and behavioral approaches. The focus of this project is on single-neuron recordings in epilepsy patients to investigate the role of theta-oscillations in coordinating activity during memory-based decisions. The applicant will join a vibrant and collaborative interdisciplinary research team consisting of investigators at both Cedars-Sinai Medical Center and the California Institute of Technology. We provide ample opportunity for training with state-of-the art equipment, facilities, analytical methods, and experimental techniques. Our work is funded by the NSF, McKnight Endowment fund, and NIH, including a newly established NIH BRAIN consortium between Cedars-Sinai/Caltech (Rutishauser, Mamelak, Adolphs), University of Toronto (Valiante), Johns Hopkins University (Anderson), and Harvard/Childrens (Kreiman). This provides ample opportunity to work with large-scale single-neuron datasets to test model predictions. This position is based at Cedars-Sinai in Los Angeles. Candidates should have a recent PhD in neuroscience or related field with a track-record of first-author publications. Strong programming (Matlab or similar), data analysis, and statistics skills are required. Previous electrophysiology experience is preferred. Excellent written and oral English communication skills are required. Previous human intracranial EEG and/or macaque electrophysiology experience is a strength. The position is available as early as Nov 1st 2017, with a competitive salary and benefits package commensurate with prior experience (NIH scale). The position is available with an initial appointment for one year and renewal based upon satisfactory performance. Cedars-Sinai is an equal opportunity employer. Applicants should send a CV, brief statement of research interests, and contact information for 2-3 references to Ueli Rutishauser at rutishauseru(a)csmc.edu. Information about the lab and a list of publications can be found at www.rutishauserlab.org . Applications will be reviewed on an ongoing basis. -- Ueli Rutishauser, Ph.D. http://rutishauserlab.org/

Sept. 15, 2017

Open position: clinical data manager, Marseille

by Irene Yujnovsky

> > Clinical data manager for national consortium on epilepsy surgery - Aix-Marseille Université > Marseille, FRANCE > > > A position for an experienced clinical data manager is open to create and maintain an epileptic patient database including registration, normalization and security issues and to ensure the communication with the key partners in the academic, clinical and industry sectors with the aim of generating individual Virtual Patient models using The Virtual Brain (TVB) platform as framework (see http://www.thevirtualbrain.org) This database will be generated in the context of the EPINOV (Improving EPilepsy surgery management and progNOsis using Virtual brain technology) project led by Professor Fabrice Bartolomei (http://fr.ap-hm.fr/service/neurophysiologie-clinique-hopital-timone) funded by the RHU programme. > > Qualification > > Candidates must be highly motivated to work on an interdisciplinary project and collaborate with the various members of the consortium. They should have a degree in biomedical engineering, medical informatics or equivalent level of knowledge. Candidates must possess a solid experience in management of clinical and/or research data and programming (C, MATLAB, Python). Experience with neuroimaging data (stereotactic EEG, MRI, DTI, MEG, EEG), clinical trials, neuroinformatics and its standard formats (for instance DICOM, XNAT, BIDS), machine learning and Big Data would be considered an advantage. > > The EPINOV project and consortium > We are a national consortium composed of clinicians, researchers and industrial partners interested in improving epilepsy surgical prognosis using large–scale brain modelling based on individual epileptic patient data. A prospective, randomized multicenter trial will be conducted with subjects suffering from drug-resistant epilepsy. The clinical trial will systematically evaluate the added value of personalized brain modelling in the surgical decision making. > > Terms of salary and employment > Salary will depend on the diploma and previous experience. Operating languages in the consortium are both French and English. > > Applications including a cover letter, curriculum vitae and the names of two referees should be sent by October 31st 2017 to: Dr. Irene Yujnovsky at irene.yujnovsky(a)univ-amu.fr > > --

Sept. 14, 2017

[jobs] Post-doctoral Position in Brain- and biosignal-based speech recognition @ the Italian Institute of Technology (IIT)

by Alessandro D'Ausilio

The IIT (Italian Institute of Technology) Centre for Translational Neurophysiology (CTNSC) is hiring 1 post-doc on Brain- and Biosignal-based Automatic Speech Recognition. Please find more information here: https://www.iit.it/careers/openings/opening/515-postdoctoral-position-in-br… Deadline: September 25th

Sept. 14, 2017

SCiNDU abstract deadline Oct 1st

by Geoffrey Goodhill

A reminder that the SCiNDU abstract deadline is October 1st: SYSTEMS AND COMPUTATIONAL NEUROSCIENCE DOWNUNDER (SCiNDU) Joint meeting with the 2017 QBI Plasticity Workshop and the 10th Australasian Workshop on Neuro-Engineering and Computational Neuroscience Dec 13-15th 2017 Queensland Brain Institute, University of Queensland, Brisbane, Australia http://www.qbi.uq.edu.au/scindu Confirmed speakers: Polina Anikeeva (MIT) Bernard Balleine (UNSW) Daphne Bavelier (U Geneva) John Bekkers (ANU) Kwabena Boahen (Stanford) Tobias Bonhoeffer (Max Planck Martinsried) Rosa Cossart (INMED Marseille) Kenji Doya (Okinawa) Adrienne Fairhall (U Washington) Marta Garrido (U Queensland) Alex Pouget (U Geneva) Pankaj Sah (U Queensland) Andre van Schaik (Western Sydney) Rafael Yuste (Columbia) Abstract submissions for poster presentation are due by Oct 1st. Some submissions will be selected for oral presentation. See http://www.qbi.uq.edu.au/scindu for more details. Professor Geoffrey J Goodhill Queensland Brain Institute and School of Mathematics & Physics University of Queensland St Lucia, QLD 4072, Australia Email: g.goodhill(a)uq.edu.au<mailto:g.goodhill@uq.edu.au> http://www.qbi.uq.edu.au/professor-geoffrey-goodhill

Sept. 14, 2017

Joint Ph.D. position in Systems Neuroscience at Karolinska Institute and KTH Royal Insti. of Technology, Stockholm, Sweden

by Arvind Kumar

*Joint Ph.D. position in Systems Neuroscience at Karolinska Institute and KTH Royal Insti. of Technology, Stockholm, Sweden* We invite applications for a joint PhD position in the groups of Dr. Arvind Kumar (KTH Royal Institute of Technology, Stockholm, Sweden) and Dr. Dinos Meletis (Karolinska Institute, Stockholm, Sweden) to study the dynamics of neuronal ensembles in mouse striatum. *Brief** description of the project* Striatum is the main input of the basal ganglia and plays an important role in a diversity of cognitive and motor functions. The goal of the project is to understand how the population activity of striatal neurons encodes external stimulus and behavioral states of the animal. To this end the student will record, analyse and model the striatal activity in different conditions. *Qualifications* We are looking for a student with a MSc (or equivalent) degree in Physics or Engineering and a strong background in data analysis and/or analysis and modeling of physical systems. Previous knowledge of neuroscience would be useful but not necessary. *Appointment* This will be a joint position at KTH and KI Stockholm, Sweden. The employment as a Phd student is time limited following the regulations for Ph.D. employment in the Higher Education Ordinance (~ 5 years with 80% PhD studies and 20% department service including teaching) of Sweden. *About the research groups* The PhD student will work under the supervision of Dr. Arvind Kumar and Dr. Dinos Meletis. *Dr. Kumar's* research group is based at the *KTH Royal Institute of Technology, Stockholm. *He uses computational and analytical methods to understand the dynamics and information processing in biological neuronal networks. His lab is developing mathematical models of brain diseases to create a theoretical framework to understand the mechanisms underlying the emergence of disease related aberrant activity dynamics in diseases (e.g. Parkinson's diseases, epilepsy, anxiety). Relevant to the project, in last few years they have developed computational models of the striatum and basal ganglia to understand the role of input correlation, emergence of neuronal assemblies and oscillations. More information about Kumar lab *https://www.kth.se/profile/arvindku/ <https://www.kth.se/profile/arvindku/>* *Dr. Meletis'* lab is based at the *Karolinska Institute, Stockholm*. The lab studies neural circuits that are responsible for generating motivated behaviors, for example the basal ganglia and the serotonin system, and how dysfunction in the activity of neuron subtypes can lead to reward disorders. The lab has established experimental methods to perform large-scale in vivo imaging of the activity of neuron subtypes during behavior in freely moving mice and methods to precisely perturb the activity of genetically defined neurons (optogenetics). Relevant to the project, the lab is investigating the distinct role of striatal neuron subtypes in learning and representing reward and punishments, with the aim to develop an understanding of the neural and ensemble computations that underlie behavior. More information about Meletis lab http://meletislab.org/ *Application* The application should include the following documents: 1. CV including your relevant professional experience and knowledge. 2. Copy of the degree certificate(s) and transcripts of records from your previously attended university-level institutions. Translations into English or Swedish if the original documents are not issued in one of these languages. 3. Statement of purpose: Why do you want to pursue a PhD, what are your academic interests, how they relate to your previous studies and future goals; maximum 2 pages long. 4. Weblink of representative publications or technical reports 5. Contact information for two reference persons. We reserve us the right to contact references only for shortlisted candidates. Send the above info as a single zip file to Dr. Arvind Kumar *arvkumar(a)kth.se <arvkumar(a)kth.se>* *Application deadline: 30 Sept. 2017* *For more info. contact* Dr. Arvind Kumar *arvkumar(a)kth.se <arvkumar(a)kth.se>* *https://www.kth.se/profile/arvindku/ <https://www.kth.se/profile/arvindku/>* Dr. Dinos Meletis: *Dinos.Meletis(a)ki.se <Dinos.Meletis(a)ki.se>* *http://meletislab.org/ <http://meletislab.org/>* -- Dr. Arvind Kumar Computational Biology, School of Computer Science and Communication KTH, Royal Institute of Technology, Stockholm, Sweden. Adjunct Faculty at: Bernstein Center Freiburg, Neurobiology and Biophysics, Faculty of Biology University of Freiburg, Germany http://www.bcf.uni-freiburg.de/people/details/kumar cancer blog: http://theoryofcancer.blogspot.com cricket blog: http://rightarmoverfast.blogspot.com

Sept. 13, 2017

Open post-doctoral position in Theoretical Neuroscience - INS, Marseille, France

by Irene Yujnovsky

Post-doctoral position in the Theoretical Neuroscience Group - INS, Marseille, France *Summary* The Theoretical Neuroscience Group (Head: Viktor Jirsa) is seeking to fill a post-doctoral position in the context of the project EPINOV to work on statistical & dynamical modeling of seizure propagation using personalized brain modeling and neuroinformatics approaches on a cohort of hundreds of epilepsy patients. EPINOV is one of 10 large-scale projects selected in the 3rd round of French scientific excellence program «RHU» managed by the National Research Agency (ANR). The aim of the EPINOV project is to significantly improve presurgical interpretation, guide surgical strategies and translate computational tools into clinical routine of personalized medicine. We use individual MRI scans to reconstruct brain anatomy and connectivity, which are combined with a neural mass model and fit using the Bayesian modeling software Stan to individuals’ intracranial electrophysiology data (stereotactic EEG), validated by clinical data from other modalities, such as MEG, fMRI, and semiology. *Responsibilities* • Scale up statistical models “vertically” to handle more data and higher resolution anatomy, using model comparison techniques to evaluate the advantage of different model structures • Scale out models “horizontally”, performing coherent, reliable inference across a large cohort of patients using dedicated, on-site HPC resources • Develop routines to evaluate and visualize inference results, making them amenable to clinical interpretation • Integrate developed code into existing code bases and pipelines *Qualification*** • Highly motivated to work on an interdisciplinary project and collaborate with the various members of the consortium. • PhD degree in computational neuroscience, mathematical or statistical modeling, machine learning or equivalent level of knowledge. • Significant, demonstrable experience in data fitting (Bayesian modeling, Dynamical Causal Modeling (DCM), Monte Carlo, etc) will be highly appreciated. • Experience with working in a Linux/HPC environment • Programming in a numerically oriented language (R, Python, MATLAB) • Familiarity with Git, unit testing, Docker/VMs is a plus *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 September 30th 2017 to: Dr. Irene Yujnovsky at irene.yujnovsky(a)univ-amu.fr <mailto:irene.yujnovsky@univ-amu.fr> More information about the INS and the Theoretical Neurosciences Group can be found at: http://ins.univ-amu.fr <http://ins.univ-amu.fr/> --

Sept. 13, 2017