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Postdoctoral Fellow Position in Human Neuroimaging
by Sylvia Morelli Nov. 16, 2017

Nov. 16, 2017

The Empathy and Social Connection Lab <http://www.morellilab.com/> at the University of Illinois at Chicago (PI: Sylvia Morelli) has an opening for a postdoctoral fellow to begin any time between January to July 2018. The postdoctoral fellow will have the opportunity to work on neuroimaging research related to empathy, prosociality, social networks, well-being, loneliness, and depression (including collaborative projects with the Stanford Social Neuroscience Lab <http://ssnl.stanford.edu/>). Successful applicants should have a PhD in neuroscience, psychology, computer science, statistics/biostatistics, mathematics, or a related field. They should also have a strong background in programming, statistics, and the design and analysis of fMRI experiments, as well as excellent communication and organizational skills. Experience with computational neuroscience techniques — such as multivariate pattern analysis, prospective prediction, machine learning, effective connectivity, or connectomics/graph theory — is a bonus, but not a requirement. The position will be fully funded for at least 2 years with the potential for a longer-term position. We will review applications beginning December 10, until the position is filled. Applicants should send a CV, a statement describing research interests and experience (maximum: 1 page), and contact information for two references to Sylvia Morelli (smorelli(a)uic.edu <mailto:smorelli@uic.edu>).

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PhD position in neural coding
by Matthew Chalk Nov. 16, 2017

Nov. 16, 2017

PhD position in theoretical neuroscience, at the Vision Institute in Paris, France: Description: Applications are invited for a fully funded 3-year PhD studentship with Matthew Chalk, at the Vision Institute (www.institut-vision.org/en/ <http://www.institut-vision.org/en/>), within the University of Pierre and Marie Curie (UPMC), in Paris, France,. The project will involve investigating neural coding in the retina. Specifically, it will ask how neurons achieve diverse goals, such as optimising efficiency or making predictions about the future. The PhD will include both a theoretical and an experimental component. The theoretical part will extend work by Chalk et al. to develop a general theory of neural coding (Chalk et al. NIPS 2016, Chalk et al. bioArxiv 2016). The experimental part, where we will test this theory in the retina, will be in close collaboration with the lab of Olivier Marre, who have developed techniques for recording from hundreds of retinal ganglion cells simultaneously (e.g. Marre et al. PLoS Comp. 2015). The Vision Institute is a stimulating environment for brain research. It brings together in a single building researchers, clinicians and industrial partners in order to discover, test and develop treatments and technological innovations for the benefit of visually impaired patients. The ideal candidate should have a strong quantitative background, with a masters degree in fields such as physics, computer science or computational neuroscience. Applications should include a CV, a short letter of motivation (max 1 page), and letter of recommendation. The earliest starting date is January 2018. Electronic submissions should be sent to Matthew Chalk (matthewjchalk(a)gmail.com <mailto:matthewjchalk@gmail.com>). Feel free to ask any informal questions if you are interested.

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Deadline Approaching: Theoretical/Statistical Neuroscience Faculty Openings at Columbia
by Allison Ong Nov. 15, 2017

Nov. 15, 2017

Dear Colleague, This is a friendly reminder that *Dec 1, 2017 *is the deadline for Columbia's search for *two faculty positions in Theoretical and Statistical Neuroscience.* We would appreciate it if you could forward the information below or the flier attached to any interested candidates. The link to apply is: 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.

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Call for SMARTSTART Applications
by Smart Start Coordination Office Nov. 15, 2017

Nov. 15, 2017

Ready for a SMARTSTART into Computational Neuroscience? We invite first and second-year Master students with a background in related fields to apply to our joint training program SMARTSTART. The program aims at complementing previous studies with concepts, theories and techniques of Computational Neuroscience. SMARTSTART consists of two programs. Both of them last one year each and take place at numerous locations of the Bernstein Network and further locations throughout Germany. SMARTSTART 1 provides financial support to then second-year Master students, allowing them to attend supplementary courses and training visits at participating institutions. Students will receive an experienced faculty mentor who will advise and guide them at this educational stage. SMARTSTART 2 provides fully funded positions for pre-PhD students. At the start of the program, these students will have already obtained their Master´s degree and are in the process of selecting a PhD project. SMARTSTART 2 allows them to elaborate their own PhD proposal as a collaborative project between two labs. This comprises exchange visits as well as voluntary attendance of lectures and courses offered by participating institutions. Both SMARTSTART programs will commence the next round in the winter term 2018/19. The Deadline for application is Wednesday, February 28, 2018. More information can be found on our website: www.smartstart-compneuro.de<http://www.smartstart-compneuro.de/> Best regards, Kathrin Hebert -- Coordination Office Smart Start - Joint Training Program in Computational Neuroscience Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9593 mail: smartstart(a)fz-juelich.de<mailto:smartstart@fz-juelich.de> web: www.nncn.de<http://www.nncn.de> Twitter: NNCN_Germany<https://twitter.com/NNCN_Germany> YouTube: Bernstein TV<https://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany<https://www.facebook.com/BernsteinNetwork/> LinkedIn: Bernstein Network Computational Neuroscience, Germany<https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> <https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Princeton Intensive Summer School in Neuroscience
by Carlos Brody Nov. 14, 2017

Nov. 14, 2017

** Princeton Intensive Summer School in Neuroscience ** We want to bring to your attention an intensive 4-week summer course, Cellular, Computational and Cognitive Neuroscience (C3N), designed to introduce physicists, mathematicians, engineers and computer scientists to the major questions and techniques of modern neuroscience, with a special emphasis in both lecture and laboratory components on modern recording and analysis methods, ranging from large scale electrode and optical recording (and optogenetic stimulation) to mathematical analysis of neural dynamics within the datasets produced by these methods. The course and application are described in detail at http://C3N.princeton.edu. Senior graduate students or postdoctoral fellows are particularly appropriate candidates for the C3N course. Grants from the NIMH and the Burroughs Wellcome Foundation allow us to meet the full financial needs of all admitted students. The application deadline is Feb. 1 2018. http://C3N.princeton.edu David Tank, Michael Berry and Alan Gelperin, Princeton Neuroscience Institute

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Call for Applications - 2018 Nengo Summer School
by Peter Blouw Nov. 14, 2017

Nov. 14, 2017

[All details about this school can be found online at https://www.nengo.ai/summerschool] The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce a special version of our annual Nengo summer school that will host the* first public access* to *Braindrop*, a new mixed analog-digital neuromorphic chip developed in collaboration with Stanford and Yale. In addition to introducing Braindrop, this two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems, and has been used to build what is currently the world's largest functional brain model, Spaun [1]. Nengo is also being used to program a variety of state-of-the-art neuromorphic chips, including Braindrop! For a look at last year's summer school, check out this short video: https://goo.gl/4tVUkQ We welcome applications from all interested graduate students, research associates, postdocs, professors, and industry professionals with a relevant background. [1] Eliasmith, C., Stewart T. C., Choo X., Bekolay T., DeWolf T., Tang Y., Rasmussen, D. (2012). A large-scale model of the functioning brain. Science. Vol. 338 no. 6111 pp. 1202-1205. DOI: 10.1126/science.1225266. [ http://compneuro.uwaterloo.ca/files/publications/eliasmith.2012.pdf] Application Deadline: February 15, 2018 *Format*: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, modeling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: - interface Nengo with various kinds of neuromorphic hardware - build perceptual, motor, and cognitive models using spiking neurons - model anatomical, electrophysiological, cognitive, and behavioural data - use a variety of single cell models within a large-scale model - integrate machine learning methods into biologically oriented models - interface Nengo with cameras and robotic systems - implement modern nonlinear control methods in neural models - and much more... *Date and Location:* June 3th to June 15th, 2018 at the University of Waterloo, Ontario, Canada. *Applications*: Please visit http://www.nengo.ai/summerschool, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact Peter Blouw (peter.blouw(a)appliedbrainresearch.com) We look forward to hearing from you!

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PhD position: Calcium signalling in the C. elegans brain
by Melanie Stefan Nov. 14, 2017

Nov. 14, 2017

PhD position: Using C. elegans and computational modelling to understand the mechanisms governing calcium signalling in the brain A BBSRC-funded PhD position is available at the University of Edinburgh, in a joint project between the Busch lab and the Stefan lab. The project involves studying Calcium signalling in the C. elegans brain, using both experimental methods (genetics, behavioural assays, functional neuronal imaging) and computational modelling. Full funding is available for UK or EU citizens who have been resident in the UK for 3 years prior to commencement. Further details and instructions on how to apply are available here: https://www.findaphd.com/search/ProjectDetails.aspx?PJID=89850 The application deadline is 4 December 2017. If you wish to discuss the project, contact Emanuel Busch (Emanuel.Busch(a)ed.ac.uk) or Melanie Stefan (melanie.stefan(a)ed.ac.uk) -- Melanie I Stefan, PhD Edinburgh-Zhejiang Lecturer University of Edinburgh Edinburgh, UK, EH8 9XD http://melaniestefan.net

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Job Posting: Computational Neuroscience Applications Engineer
by Christian Rössert Nov. 13, 2017

Nov. 13, 2017

Dear Colleagues, INAIT is seeking a permanent and full-time Computational Neuroscience Applications Engineer INAIT is a spin-off from the Blue Brain Project that will leverage 12 years of experience on brain modeling and simulation to build the next generation AI systems. INAIT has a unique position in knowledge of brain structure and function, advanced software ecosystems, and an advanced team of scientists and engineers. We expect to radically innovate on current AI systems to more easily capture diverse brain-like capabilities. Send your cover letter and CV to contact(a)inait.ai Job description *Major duties and responsibilities:* - Contribute to the development of computational neuroscience applications using state of the art computational neuroscience simulation packages and INAIT applications - Contribute to the development of computational neuroscience models of neurons and neural networks - Perform a technical survey of computational neuroscience algorithms and technology *Essential skills and experience required:* - University degree in computational neuroscience - Professional experience in state of the art computational neuroscience simulation frameworks such as NEST, NEURON, GENESIS, … - Experience in developing computational models of morphologically and/or (preferred) point neuron models - Professional experience in Python code development - Professional experience using UNIX/Linux operating systems - Good team player - Fluent spoken and written English *Preferred:* - Experience in the development of state of the art computational neuroscience simulation frameworks such as NEST, NEURON, GENESIS, … - Experience in the use of computational neuroscience simulation frameworks paradigms on shared and/or distributed parallel machines. - Professional experience in the software development life-cycle including unit testing, continuous integration, version control, debugging and documentation *Profile:* - Master’s degree or PhD (preferred) in computational neuroscience followed by at least 2-years professional experience - Quality-driven work ethics - Successful track record in designing, developing and maintaining software projects Where: Lausanne, Switzerland Start date: As soon as possible Activity rate: 100% Deadline for application: until position is filled Duration of contract: CDI Send your cover letter and CV to contact(a)inait.ai INAIT SA EPFL-Innovation Park - Bat. D 1015 Lausanne Switzerland contact(a)inait.ai

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Post-doc position in electrophysiology/neural coding at Columbia University
by Qi Wang Nov. 11, 2017

Nov. 11, 2017

A postdoc position is immediately available in the Laboratory for Neural Engineering and Control in the Department of Biomedical Engineering at Columbia University (http://neclab.bme.columbia.edu/) The project investigates the role of the locus coeruleus – norepinephrine (LC-NE) system in modulating neural coding, perception, and learning. The successful applicant should have a background in in-vivo single-unit recording. Experiences in behavioral training of rodents is a plus. We are looking for highly motivated researchers with a strong technical background, ideally with a PhD or equivalent in Biomedical Engineering, Neuroscience, Psychology, or a related discipline. Applicants should demonstrate excellent oral and written communication skills, and the ability to work effectively independently and as part of a multidisciplinary team. Start date is flexible. Salary will be commensurate to the candidate's qualifications. Applicants should submit a CV, a brief description of research interests, and a list of three references. All application materials as well as any inquiries should be sent to qi.wang(a)columbia.edu. -- ====================================== Qi Wang, Assistant Professor Department of Biomedical Engineering Columbia University ET 351, 500 W 120th Street New York, NY 10027 Email: qi.wang@columbia.eduhttp://neclab.bme.columbia.edu/ <qw2161(a)columbia.edu>

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support for Two PhD Fellows in Bilbao, Caixa Fellowship
by Jesus Cortes Nov. 10, 2017

Nov. 10, 2017

Dear colleague La Caixa Foundation has published the call for International PhD fellowships within the program "INPhINIT". This call is providing excellent working conditions for excellent international students. More information at https://obrasociallacaixa.org/el/investigacion-y-becas/progr ama-de-becas-de-posgrado/inphinit/programme-description We will be supporting 2 applicants, one associated to the project “Machine Learning, Neurological Disorders and Brain Networks” supervised by Jesus M Cortes and the other associated to the project "Multi-scale epileptic networks: a longitudinal structural-functional study of human epileptic networks combining deep electrode recordings and MRI" supervised by Paolo Bonifazi. Applicants must have a background in Mathematics, Physics or Engineering. The student will work in the Computational Neuroimaging Lab in Biocruces (Bibao) focused on developing and applying brain connectivity methods in combination with machine learning (such as supervised and unsupervised classification), modeling (neuron or circuit levels) and imaging processing of different imaging modalities (such as magnetic resonance imaging or electroencepaholography). The student will interact with Engineers, Physicists and Clinical Researchers. Further details and readings: To study brain functioning and disfunctioning, the Computational Neuroimaging Laboratory in Biocruces (Bilbao) is focused on brain networks at the macroscale, thus affecting to the large-scale brain organization. While diffusion images provide information about structural connectivity, functional magnetic resonance imaging shed light on resting state functional connectivity. In this project, the student will work with different datasets, some of them publicly available, others acquired in our laboratory, covering different pathologies such as autism, patients in coma, epilepsy, patients with multiorganic failure, neurodegeneration such as Alzheimer’s disease or Parkinson and psychiatric disorders. https://www.frontiersin.org/articles/10.3389/fnagi.2017.00215/full http://www.mitpressjournals.org/doi/abs/10.1162/NETN_a_00007 https://www.frontiersin.org/articles/10.3389/fpsyg.2015.01024/full https://www.nature.com/articles/srep10532 Working conditions: 3-years contract, gross salary of about 26.000 euro - 28.000 euro per year, and an extra travelling and conference budget of about 3.500 euro per year. Applicant requirements: At recruitment date, candidates must have MSc degree and an English certification of minimum B2. In addition, candidates must not have residence in Spain longer than 12 months in the 3 years prior to recruitment date. Interested applicants contact to: Prof. Jesus M Cortes Ikerbasque Research Professor Head of the Laboratory of Computational Neuroimaging, Biocruces, Bilbao (Spain) Coordinator of the Quantitative Biomedicine Unit, Biocruces, Bilbao (Spain) Research Professor at the University of the Basque Country (Spain) http://www.jesuscortes.info jesus.m.cortes(a)gmail.com and/or Dr. Paolo Bonifazi Ikerbasque Tenure Track Professor Computational Neuroimaging Laboratory http://www.ikerbasque.net/es/paolo-bonifazi paol.bonifazi(a)gmail.com -- http://www.jesuscortes.info <http://jesuscortes.info> https://neurokafe.github.io/ https://thesciencebridge.org/

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