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Postdoc position on causal learning in France
by Mehdi Khamassi May 17, 2019

May 17, 2019

*Post-Doc position in Computational Neuroscience on causal learning * *Institut des Systèmes Intelligents et de Robotique, Paris (UMR7222)* *Groupe d'Analyse et de Théorie Economique, Lyon (UMR 5824)* *General Information* Workplace: LYON/PARIS Employer: CNRS Type of contract: FTC Scientist Contract Period: 18 or 24 months Expected date of employment: 2 September 2019 Proportion of work: Full time Remuneration: between 2643 and 3766 Euros gross monthly salary depending on the candidate’s experience Desired level of education: PhD Experience required: indifferent *Missions*: The objective of our project is to investigate the neural and computational bases of causal learning. In particular, we will focus on causal learning in the context of goal-directed instrumental behaviors, which rely on learning rules determined by the contingency//between actions and outcomes. In order to unravel the neural and computational bases of action-outcome causal learning, we need to lift two key barriers. The first barrier is the lack of neurocomputational models that formalise the above-mentioned theoretical framework to make precise predictions about the underlying neural computations. The second barrier is the lack of clear understanding of the brain network dynamics supporting action-outcome causal learning. *Activities: * The selected candidate will contribute to lift the first barrier, by developing neurocomputational models that: i) formalise internal representations and computations predicted by causal learning theories (/rational /and /Bayesian /frameworks); ii) make predictions about the dynamics of neural activity (i.e., neurobiological plausibility) and fit single-participant behavioral patterns (i.e., computational flexibility). Among the possible learning models, two seem to provide the adequate theoretical and computational framework: Active Inference and Reinforcement learning. The former is a Bayesian approach postulating that human behaviour can be reduced to the minimization of variational free energy, which is an upper bound on Shannon surprise (Friston, 2010). The latter provides a complementary view and formalizes human behavior as a process that aims at maximizing cumulative (extrinsic or intrinsic) reward (Sutton & Barto, 1998). The selected candidate will help designing a new experimental protocol to test the specific predictions of these computational frameworks, and compare them with Bayesian model comparison methods. The experiment will involve human subjects and be realized with the facilities of the GATE (Experimental Economics) laboratory in Lyon, France. Then we will derive a computational model which best accounts for human behavior while they learn causalities, and make model-driven predictions for a new task involving brain imaging (fMRI, MEG, SEEG) performed in humans by partners of the project. *Skills*: Applicants should be highly motivated, have a PhD in computational neuroscience, physics, computer science, or related fields, with a track record of publications. Confirmed experience in computational modelling and programming skills are mandatory. Preference will be given to applicants with previous experience in causal learning models in neurosciences. *Work context*: We have obtained funding from the French Agence Nationale de la Recherche for 4 years project aiming at lifting the previously mentioned two barriers. The project involves both theoreticians (Mateus Joffily in GATE, Lyon, France; Mehdi Khamassi in ISIR, Paris, France; David Lagnado in UCL, London, UK) and experimentalists (Andrea Brovelli in INT, Marseille, France; Julien Bastin in GIN, Grenoble, France). This 2 years post-doctoral research position is available to work at the interface between two laboratories: the GATE in Lyon and the ISIR in Paris. *Additional Information*: The position is available immediately and applications will be reviewed until the position is filled. The selected candidate will be hired for a period of 18 to 24 months with a salary corresponding to the level of research scientist according to the standards of the National Center of Scientific research (CNRS). Salary will include social security, health and retirement benefits. Applications should include: 1) a cover letter briefly describing experience, motivation and skills adapted for the position, as well as research interests; 2) complete CV and publication list; and 3) two letters of reference that should be sent directly to us by the evaluators. Notification of interest should be sent to both Mehdi Khamasi (mehdi.khamassi(a)upmc.fr <mailto:mehdi.khamassi@upmc.fr>) and Mateus Joffily (joffily(a)gate.cnrs.fr <mailto:joffily@gate.cnrs.fr>). Applications shall be done through the following website: https://emploi.cnrs.fr/Offres/CDD/UMR5824-TAIDAO-009/Default.aspx?lang=EN. -- Mehdi Khamassi, PhD, HDR Permanent research scientist (CRCN) at the Centre National de la Recherche Scientifique, Institute of Intelligent Systems and Robotics Sorbonne Université, Paris, France http://www.isir.upmc.fr Director of Studies for the Cogmaster program Ecole Normale Supérieure, EHESS, Univ. Paris Descartes http://sapience.dec.ens.fr/cogmaster/www/ Visiting Researcher at the Institute of Communication and Computer Systems National Technical University of Athens, Greece https://www.iccs.gr/en/?noredirect=en_US Visiting Researcher at the Department of Experimental Psychology University of Oxford, UK https://www.psy.ox.ac.uk Main contact details: Mehdi Khamassi Sorbonne Université, Campus Pierre et Marie Curie - ISIR - BC 173 4 place Jussieu, 75005 Paris, France tel: + 33 1 44 27 28 85 cell: +33 6 50 76 44 92 email: mehdi.khamassi(a)upmc.fr http://people.isir.upmc.fr/khamassi

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Open PhD position, application deadline May 31st
by Jochem Rieger May 16, 2019

May 16, 2019

Dear list, The Applied Neurocognitive Psychology Lab at the University Oldenburg in collaboration with the Division of Energy at OFFIS offer a PhD position in the project: "Neurophysiology and modelling of expert cognition and decision making¨ The projects goal is to develop a model-based understanding of neuronal processing differences between expert and novice controllers of safety critical systems (e.g. power grids) that allows human performance prediction. Methodologically, the project combines brain activation measurements in fNIRS and/or MRI during realistic simulations of control tasks with machine learning for data driven human modeling. The position is available *from July 16th, 2019* until July 15th, 2022 (German TV-L E13, 65%). The full job announcement can be found here: https://uol.de/stellen/?stelle=66622 You can contact me for further questions regarding the position. The *application deadline is May 31st, 2019*. Please send your application including a cover letter, CV, a list of potential referees, links to recent publications, and copies of certificates for academic grades to Prof. Rieger as an email attachment (preferred) in one pdf file to jochem.rieger(a)uol.de <mailto:jochem.rieger@uol.de>. Regards, Jochem -- Prof. Dr. rer. nat. Jochem Rieger Head of Applied Neurocognitive Psychology Head of Neuroimaging Unit Faculty VI Carl-von-Ossietzky University 26111 Oldenburg Germany Phone: +49(0)4417984533 Fax: +49(0)4417983865

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Workshop: Spike Sorting and Reproducibility for Next Generation Electrophysiology
by Matthias Hennig May 16, 2019

May 16, 2019

Spike Sorting and Reproducibility for Next Generation Electrophysiology 24. and 25. June 2019 Informatics Forum, University of Edinburgh Registration deadline: 31. May 2019 The analysis of extracellular recordings is a computationally and conceptually complex task with multiple sources of error and bias that can affect subsequent data interpretation. The advent of high-density extracellular micro-electrode arrays (MEAs) now allows recording from hundreds to thousands of channels that poses significant challenges. Additionally, current analysis workflows lack standardisation, and few attempts have been made to make perform systematic comparisons between different solutions and approaches. This workshop will bring together electrophysiologists and developers of tools for the analysis of extracellular recordings, with the following goals: - to showcase new approaches to analyse large scale recordings - to discuss approaches for validation and quality control - to discuss how elements of reproducibility and provenance can be added to typical analysis workflows Invited Speakers: Alessio Buccino, Oslo David Jaeckel, MaxWell Espen Hagen, Oslo Felix Franke, ETHZ Samuel Garcia, CNRS James Jun, Flatiron Institute Jeremy Magland, Flatiron Institute André Marques Smith, UCL Olivier Marre, Institut de la vision Hernan G Rey, Leicester Evelyne Sernagor, Newcastle Olivier Winter, Champalimaud Pierre Yger, Institut de la vision Registration is free (workshop dinner cost is £30). More info: http://workshops.inf.ed.ac.uk/ssnge/ Organisers: Matthias Hennig, Edinburgh Cole Hurwitz, Edinburgh Jeremy Magland, Flatiron Alessio Buccino, Oslo -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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PhD scholarship within Data Science and Computational Neuroscience at the Norwegian University of Life Sciences (NMBU)
by Kristin Tøndel May 16, 2019

May 16, 2019

The Faculty of Science and Technology at the Norwegian University of Life Sciences (NMBU) has a vacant 3-year PhD-position related to Data Science and Computational Neuroscience: https://www.jobbnorge.no/en/available-jobs/job/168816/phd-scholarship-withi… Please share with your network. Best regards, Kristin Tøndel

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[meetings] CfP: Workshop at ICDL-Epirob 2019: Mapping the self
by Matej Hoffmann May 14, 2019

May 14, 2019

** * ******************************************* ** * ICDL-Epirob 2019 Workshop * * Mapping the self: * * infants, robots, and modeling * ******************************************* Key Facts ========= ICDL-Epirob 2019 Workshop, Monday, August 19, 2019 Location: Oslo, Norway at Ingeniørenes hus møtesenter (Engineer’s House Conference Centre) Submission deadline: June 10, 2019 Notification: June 30, 2019 Workshop URL:<https://urldefense.proofpoint.com/v2/url?u=http-3A__dyalab.mines.edu_2019_r…>https://sites.google.com/site/matejhof/events/mapping-the-self Main conference URL: https://icdl-epirob2019.org/ Submission link: https://easychair.org/conferences/?conf=irm19 Organizers ========== * Daniela Corbetta <https://psychology.utk.edu/faculty/corbetta.php>(Univ of Tennessee, USA) * Matej Hoffmann <https://sites.google.com/site/matejhof/home>(Prague, Czech Republic) * Jeffrey Lockman <http://www2.tulane.edu/sse/psyc/faculty-and-staff/faculty/lockman.cfm>(New Orleans, USA) * Verena Hafner <https://adapt.informatik.hu-berlin.de/vvh/>(Berlin, Germany) Description =========== Our bodies constitute the interface between our mind and the surrounding world. To interact effectively with the world, babies and robots need to discover the different parts of their bodies, and their physical and mechanical properties. They need to know where their limbs are in space, how far they can extend, how they work, and what range of actions they can achieve with them. Such body representations are essential for developing a sense of the self and for defining the limits of the peripersonal space. The aim of this workshop is to bring together researchers in the fields of developmental psychology, developmental robotics, embodied cognition, body mapping, and computational modeling to create a productive, collaborative, and multidisciplinary forum from which different facets of these fundamental processes linked to body mapping and mapping the self will be explored. The workshop will be organized around three general themes with specific speakers and experts in each area: 1. Body mapping: This theme will group developmental and learning studies in infants, adults, and robots on self-touch, self-exploration of the body, self-localization, and haptic perception to understand how the mapping of the self forms. 2. Defining the peripersonal space: This theme will examine the range and conditions through which our peripersonal space develops, is being perceived, and being modulated through interactions with objects, people, and events in our daily surroundings. This theme will contrast infant, children, and adult studies as well as computational models. 3. Sense of self and body ownership: This third theme will explore how our brain builds a map and sense of ownership of objects as extensions of our own body. Studies and models on tool use learning, prostheses mastery, including studies on the rubber hand illusion will provide a framework to understand how perception and action of inanimate objects can be experienced as functional extensions of our body and self. Confirmed Invited Speakers ======================= Daniela Corbetta (Univ. Tennessee, USA) Jeffrey J. Lockman (Tulane Univ., USA) Sergiu Popescu (Paris Descartes University, France) Matej Hoffmann (Czech Tech. Univ, Czech Rep) Gianluca Baldassarre / Vieri Santucci (CNR, Italy) Jean-Paul Noel (NYU, USA) Rory Bufacchi (Univ. College London, UK) Alban Laflaquiere (AI Lab, Softbank Robotics, France) Benjamin Kuipers (Univ. of Michigan, USA) Tamar Makin (Univ. College London, UK) Dorothy Cowie (Durham, UK) Verena Hafner (Humboldt-Univ., Germany) Target audience ============= Cognitive psychologists, developmental psychologists, developmental roboticists, embodied cognition, cognitive neuroscience, researchers on the self, computational modeling, machine learning Format of contributions ================== We invite participants to submit a 500-word abstract for a single-blind review by the workshop organizers. Selected abstracts will be presented as Posters -- few selected possibly as short talks. The contributions should present findings that are related to any of the three themes of the workshop (body mapping, peripersonal space, and sense of self). This is an especially great opportunity for young researchers who wish to participate in this workshop, share their findings, and interact with experts in this multidisciplinary and emerging research field. The 500-word submissions should be in Word or LaTeX with a title no longer than 120 characters. Please use the following formatting linked here <https://www.overleaf.com/latex/templates/simple-single-page-abstract-templa…>. Authors’ names and affiliations should be on the abstract. Submission link: https://easychair.org/conferences/?conf=irm19 On behalf of the organizers, Matej Hoffmann * -- Matej Hoffmann, PhD Assistant Professor Department of Cybernetics Faculty of Electrical Engineering Czech Technical University in Prague https://sites.google.com/site/matejhof/home +420 224 357 387

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Postdoc in Vision at UPenn
by Burge, Johannes May 14, 2019

May 14, 2019

An NIH funded post-doc position is available at the University of Pennsylvania w Johannes Burge. A postdoctoral position is available in Johannes Burge’s lab at the University of Pennsylvania to work on the psychophysics and the computations underlying depth and motion perception. We use both artificial and natural stimuli to probe the function of the human visual system, with a focus on understanding how the pattern of light falling on the back of the eye is used to recover 3D structure and movement in the environment. We have a variety of high-end displays in the lab, the capability for eye tracking and pupillometry, high-fidelity databases of natural signals, and custom software tools for statistical learning. For more information on specific projects please see the lab website: http://burgelab.psych.upenn.edu/contact.html <https://t.co/hSN0qdRoYJ> . Applicants should have a background in at least a subset of psychophysics, eye-tracking, visual optics, computational neuroscience, and will have the opportunity to gain training in any of these areas. The initial appointment is for one year, with the potential for renewal. The start date is flexible but the position is available immediately. The lab is part of the Computational Neuroscience Initiative at UPenn, a multi-disciplinary group of top researchers working on problems in sensation, perception, and cognition. Interested applicants should send a CV, a statement of interest, and at least two references to jburge(a)sas.upenn.edu<mailto:jburge@sas.upenn.edu> I will be available to meet at VSS or to schedule interviews on Skype. Johannes ======================== Johannes Burge, PhD Assistant Professor Department of Psychology Neuroscience Graduate Group University of Pennsylvania http://burgelab.psych.upenn.edu jburge(a)sas.upenn.edu (215) 573 6528

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INCF Software Carpentry course at SfN, October 17-18
by Malin Sandström May 14, 2019

May 14, 2019

Dear all, INCF will organize a Software Carpentry course ( https://incf.github.io/2019-10-17-sfn/) at SfN in Chicago, on October 17-18. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. For more information on what will be taught and why, please see the paper “Best Practices for Scientific Computing”; https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.10017… Apply via the form linked on this page, latest *May 31*: https://www.incf.org/node/305 Best regards, Malin Sandström -- Malin Sandström, PhD Community Engagement Officer malin.sandstrom(a)incf.org International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels väg 15 A SE-171 77 Stockholm Sweden http://www.incf.org

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Three Positions in the Dutch Research Consortium 'Language in Interaction' (1.0 FTE)
by Verhoef, J.P. (Julia) May 14, 2019

May 14, 2019

Three Positions in the Dutch Research Consortium 'Language in Interaction' (1.0 FTE) Dutch Research Consortium 'Language in Interaction' Vacancy number: 30.06.19 Application deadline: 28 May 2019 [Logo NWO] [Logo Language in Interaction] Responsibilities We are looking for highly motivated candidates to enrich a unique consortium of researchers that aims to cross the boundaries of various disciplines to unravel the neurocognitive mechanisms of language and its interaction with other cognitive systems. This specific project aims to advance our understanding of the mechanisms of fast, flexible linguistic inference by leveraging recent major advances in our understanding of the representations and computations necessary for sequential model-based action planning. Currently, our consortium advertises 2 Postdoc positions and 1 PhD position. These positions provide the opportunity for conducting world-class research as a member of an interdisciplinary team. Work environment The Netherlands has an outstanding track record in the language sciences. The Language in Interaction research consortium, sponsored by a large grant from the Netherlands Organisation for Scientific Research (NWO), brings together many of the excellent research groups in the Netherlands with a research programme on the foundations of language. In addition to excellence in the domain of language and related relevant fields of cognition, our consortium provides state-of-the-art research facilities and a research team with ample experience in the complex research methods that will be invoked to address the scientific questions at the highest level of methodological sophistication. These include methods from genetics, neuroimaging, computational modelling, and patient-related research. This consortium realises both quality and critical mass for studying human language at a scale not easily found anywhere else. We have identified five Big Questions (BQ) that are central to our understanding of the human language faculty. These questions are interrelated at multiple levels. Teams of researchers will collaborate to collectively address these key questions of our field. Our five Big Questions are: BQ1: The nature of the mental lexicon: How to bridge neurobiology and psycholinguistic theory by computational modelling? BQ2: What are the characteristics and consequences of internal brain organisation for language? BQ3: Creating a shared cognitive space: How is language grounded in and shaped by communicative settings of interacting people? BQ4: Variability in language processing and in language learning: Why does the ability to learn language change with age? How can we characterise and map individual language skills in relation to the population distribution? BQ5: Inference for language and action planning: Common computations? All successful candidates will become members of our Big Question teams. The research is conducted in an international setting at all participating institutions. English is the lingua franca. What we expect from you Each position has its own requirements and profile. More information on: www.languageininteraction.nl/BQ5-3p.html<https://www.languageininteraction.nl/BQ5-3p.html> General requirements for all positions are: * a degree in linguistics, psychology, cognitive neuroscience, computer science or a related field; * affinity with quantitative analyses; * strong motivation; * excellent proficiency in written and spoken English. What we have to offer * employment: 1.0 FTE; * terms of employment depend on the position applied for; * you will be appointed at the Donders Institute for Brain, Cognition and Behaviour, Radboud University; * Dutch universities and the institute involved have a number of regulations in place that enable employees to create a good work-life balance; * you will be able to make use of our Dual Career Service<http://www.ru.nl/dualcareerservice> where our Dual Career Officer will assist with family related support, such as child care, and help your partner prepare for the local labour market and with finding an occupation. Are you interested in our excellent employment conditions<http://www.ru.nl/english/arbeidsvoorwaarden?kn>? Other Information The institute involved is an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such encourages applications from women and minorities. Would you like to know more? Further information on: the Language in Interaction Consortium<https://www.languageininteraction.nl/home.html> Further information on: the different positions, including terms of employment<https://www.languageininteraction.nl/BQ5-3p.html> Further information on: our five Big Questions<https://www.languageininteraction.nl/Bigquestions.html> For more information about this vacancy, please contact: additional information can be obtained from the contacts for the different positions. Are you interested? You should upload your application (attn. of Prof. dr. R. Cools) exclusively using the button 'Apply' below. Your application should include (and be limited to) the following attachment(s): * a cover letter quoting at the top the number of the position you apply for * your curriculum vitae, including a list of publications and the names of at least two people who can provide references Please apply before 28 May 2019, 23:59 Amsterdam Time Zone. [Apply]<https://www.ru.nl/applyonline?recid=601989&tk=uk> No commercial propositions please. Kind regards, Julia Verhoef Secretary - Language in Interaction Consortium Radboud University | Donders Centre for Cognitive Neuroimaging (DCCN) Room 0.026 Kapittelweg 29, 6525 EN Nijmegen, The Netherlands P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands |T: +31 (0)24 3666272 E: J.Verhoef(a)donders.ru.nl|<mailto:J.Verhoef@donders.ru.nl|>Office hours: 9-14 hr on Mon - Fri Follow Language in Interaction on Twitter<https://twitter.com/in_interaction> Like Language in Interaction on Facebook<https://www.facebook.com/languageininteraction/>

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Bernstein Conference 2019 in Berlin: Call for Abstracts
by Bernstein Communication May 13, 2019

May 13, 2019

BERNSTEIN CONFERENCE 2019 in Berlin - Abstract submission and registration now open! Early bird registration deadline: July 09, 2019 Please register here: https://www.intercongress.de/cgi-bin/regform_79106.exe?company=79106&event=… <https://www.intercongress.de/cgi-bin/regform_79106.exe?company=79106&event=…> The Bernstein Conference is the largest annual Computational Neuroscience conference in Europe with more than 500 international participants in recent years. The main conference includes two poster sessions, which are an important part of the conference. For more information on the conference, please visit: www.bernstein-conference.de<http://www.bernstein-conference.de> ************************************************************** Satellite Workshops September 17-18, 2019 Main Conference September 18-20, 2019 PhD Symposium September 20-21, 2019 ************************************************************** ABSTRACT SUBMISSION We are inviting the submission of abstracts from all relevant areas. Authors of most accepted abstracts will get the chance for a poster presentation, a small number of abstracts will be selected for contributed talks during the main conference. Please note the earlier submission deadline for authors applying for a talk. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). For abstract submission please visit: bernstein-conference.de/2019/abstracts<https://www.bernstein-network.de/en/bernstein-conference/2019/abstracts?set…> Submission of an abstract does not replace conference registration.<https://www.intercongress.de/cgi-bin/regform_79106.exe?company=79106&event=…> ABSTRACT SUBMISSION DEADLINES: Abstracts aimed as contributed talks and posters: June 13, 2019 Abstracts aimed as posters only: July 03, 2019 SELECTION OF CONTRIBUTED TALKS: The contributed talks will be selected in a (double-)blind review process. Please design your abstract accordingly and ensure that no author or affiliation identifiers are included. Cite all relevant prior work (including your own) only in the passive voice or in the third person (for example, “It has been shown that… [1]” or "They have shown that... [1]”), do not use the words “my” or “our”, and do not include references to funding sources. Abstracts that have not been properly anonymized cannot be considered for contributed talks. TRAVEL GRANTS: To support the participation of young researchers in the Bernstein Conference, the Bernstein Coordination Site (BCOS) offers 10 Travel Grants, each endowed with 500 €. Application deadline for travel grants: June 21, 2019 Please find further information under bernstein-conference.de/2019/apply-for-a-travel-grant<https://www.bernstein-network.de/en/bernstein-conference/2019/apply-for-a-t…> ACCOMMODATION AND HOTEL RESERVATION: We have allcocated a certain number of rooms for you in selected hotels and we are cooperating with VisitBerlin, Berlin's tourist platform through which we are able to offer a customized hotel room booking platform. Conference participants can choose between different hotel categories. We strongly recommend early room booking! Please find further information under bernstein-conference.de/2019/hotels<https://www.bernstein-network.de/en/bernstein-conference/2019/hotels?set_la…> POSTDOC MEETING, Sept 17, 7:00 pm: This event is an informal get-together for post-docs. It is an opportunity to get to know each other, foster collaborations, exchange experiences and ideas. No preparation required, but if you have an idea or a particular topic you want to discuss with your peers, bring it along. Drinks and snacks will be provided. VENUE SATELLITE WORKSHOPS and POSTDOC MEETING Marchstrasse 23 10587 Berlin (10 min. walk from the Technische Universität Berlin (TU Berlin) Main Building) VENUE MAIN CONFERENCE: Technische Universität Berlin (TU Berlin) Main Building Strasse des 17. Juni 135 10623 Berlin VENUE PHD SYMPOSIUM: Bernstein Center Berlin Campus Nord Philippstrasse 13 House 6 10115 Berlin We are looking forward to welcoming you in Berlin! Conference Chair and Host: Henning Sprekeler Program Chair: Susanne Schreiber Program Vice Chair: Elad Schneidman Workshop Chair: Tatjana Tchumatchenko Workshop Vice Chair: Tim Vogels Technical Organization: Bernstein Coordination Site (BCOS) ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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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JOBS: Academic positions at UCL in AI /stats/machine learning for neuroimaging
by Andre Altmann May 13, 2019

May 13, 2019

Forwarded on behalf of Prof. Alexander: Dear all, Please see links below for two new academic positions in neuroimaging, image analysis, and applications in neurology. Both are joint posts between UCL’s Centre for Medical Image Computing (within Computer Science and Medical Physics) and UCL's Institute of Neurology and National Hospital for Neurology and Neurosurgery. The roles have a technical focus, but are designed to enable cutting-edge technical development in neuroimage analysis and its rapid translation to application in clinical research and clinical practice. Queries welcome. Deadline 22nd May. Interviews 27th June. All the best. Danny post 1: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTc4NTM5NCZ2dF90… post 2: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTc4NTQwMiZ2dF90… ——————————————————————— Prof. Daniel Alexander Director of the Centre for Medical Image Computing Department of Computer Science UCL Gower Street London WC1E 6BT Tel: 020 7679 2419 ———————————————————————

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Information theory workshop at CNS*2019 -- call for contributed talks
by Lubomir Kostal May 12, 2019

May 12, 2019

Dear all, We are pleased to announce that the Workshop on Methods of Information Theory in Computational Neuroscience will be held once again at CNS*2019, Barcelona, Spain. The workshop will be held over the final two days of the main conference, July 16 and 17. Our confirmed invited speakers include the following (schedule available soon): * Julijana Gjorgjieva, Max Planck Institute for Brain Research, Frankfurt * Takyua Isomura, RIKEN Center for Brain Science * Renaud Jolivet, University of Geneva * Lubomir Kostal, Academy of Sciences of the Czech Republic * David Kappel, Georg-August University, Goettingen * Wiktor Mlynarski, Institute of Science and Technology Austria, Vienna * Adria Tauste, BarcelonaBeta Brain Research Center * Raoul Vicente, Institute of Computer Science, University of Tartu * Michael Wibral, Georg-August University, Goettingen Also, we would like to call for contributions of talks (25 min + 5 min Q&A). If you are interested in contributing such a talk, please send a title and abstract to Lubomir Kostal (kostal(a)biomed.cas.cz) by Friday May 31, 2019. Earlier submissions will be prioritised. Please see our website (http://www.biomed.cas.cz/~kostal/CNS2019-ITW/) for more details. We hope you will join us there! Lubomir Kostal Joseph Lizier Viola Priesemann Justin Dauwels Taro Toyoizumi Michael Wibral Adria Tauste -------------------------------------------- Upozorneni: Neni-li v teto zprave vyslovne uvedeno jinak, ma tato E-mailova zprava nebo jeji prilohy pouze informativni charakter. Tato zprava ani jeji prilohy v zadnem ohledu ustavy AV CR, v.v.i. k nicemu nezavazuji. Text teto zpravy nebo jejich priloh neni navrhem na uzavreni smlouvy, ani prijetim pripadneho navrhu na uzavreni smlouvy, ani jinym pravnim jednanim smerujicim k uzavreni jakekoliv smlouvy a nezaklada predsmluvni odpovednost ustavu AV CR, v.v.i. Disclaimer: If not expressly stated otherwise, this e-mail message (including any attached files) is intended purely for informational purposes and does not represent a binding agreement on the part of Institutes of CAS. The text of this message and its attachments cannot be considered as a proposal to conclude a contract, neither the acceptance of a proposal to conclude a contract, nor any other legal act leading to concluding any contract; nor does it create any pre-contractual liability on the part of Institutes of CAS.

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Barcelona summer school for Advanced Modelling of Behavior (BAMB!), September 4-10, 2019 [Second announcement]
by Alexandre Hyafil May 10, 2019

May 10, 2019

The new Barcelona summer school for Advanced Modelling of Behavior (BAMB! <http://www.bambschool.org>) teaches advanced techniques in model-based analysis of behavior (humans and other species) to cognitive and computational neuroscientists at PhD and early career levels. This will be achieved through structured lectures, talks, hands-on tutorials and group project aimed at making knowledge obtained directly applicable to the participants' own research. We want the trainees to acquire both the conceptual bases and the technical skills that will enable them to pursue a full modelling approach on their own when they come back to their lab. The course is intended for PhD students and postdocs in cognitive and computational neuroscience with solid background in computational/quantitative analysis to benefit maximally from the advanced training offered by the course. Proficiency in either Python or Matlab is also required. We will seek a nice blend of experimentalists (cognitive psychology / neuroscience) and theoreticians (with or without experience in cognitive modeling).Female scientists and scientists from underrepresented countries are especially encouraged to apply. Organizers: Chris Summerfield (Oxford / Deepmind) Klaus Wimmer (CRM, Barcelona) Alex Hyafil (UPF/CRM, Barcelona) Confirmed Faculty: Jean Daunizeau (ICM, Paris) Alex Hyafil (UPF/CRM, Barcelona) Kerstin Preuschoff (Geneva) Alfonso Renart (Champalimaud) Maneesh Sahani (UCL) Chris Summerfield (Oxford / Deepmind) Klaus Wimmer (CRM, Barcelona) Angela Yu (UC San Diego) Dates and location: September 4-10, downtown Barcelona, Spain Applications are open until June 3rd. Please see the course website for further details: www.bambschool.org. The summer school benefits from the generous support of the William K. and Katherine W. Estes Fund <https://www.psychologicalscience.org/members/awards-and-honors/estes-fund>, from the Sociedad Española de Neurociencia <http://www.senc.es/> and from the Centre de Recerca Matemática <http://www.crm.cat>.

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Postdoctoral position in computational neuroscience and artificial intelligence
by Maxim Bazhenov May 10, 2019

May 10, 2019

Applications are invited for post-doctoral research position in the laboratory of Dr. Maxim Bazhenov at the University of California, San Diego to study memory and learning and to develop neuroscience inspired algorithms capable of continual learning, generalization of knowledge and adaptation to the novel situations and contexts.This project involves close collaboration with the experimental laboratory of Dr. Bruce McNaughton. The ultimate goal of the work is to advance the knowledge of how human and animal brains learn from experience and apply these principles to the artificial systems to enable continuous learning without catastrophic forgetting. The successful candidate will collaborate with a team of researchers to design anatomically realistic neuronal network models of dynamic interactions between the hippocampus and neocortex during learning and memory consolidation in sleep and awake based on experimental data. An ideal candidate should have experience in computational/theoretical neuroscience and a basic knowledge of machine learning. Experience with hierarchical learning, reinforcement learning, and/or goal-directed decision-making would be particularly helpful. The University of California offers excellent benefits. Salary is based on research experience. Applicants should send a brief statement of research interests, a CV and the names of three references to Maxim Bazhenov at mbazhenov(a)ucsd.edu -- Maxim Bazhenov, Ph.D. Professor, Department of Medicine, Neurosciences Graduate Program, UCSD, School of Medicine http://www.bazhlab.ucsd.edu/

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Neural data scientist position at the Flatiron Institute
by Eftychios Pnevmatikakis May 9, 2019

May 9, 2019

Apologies for cross-posting: The Center for Computational Mathematics at the Flatiron Institute in New York City is looking for a full time data scientist to work on neuroscience related projects. The main focus of this position will be on the development and support of CaImAn <https://github.com/flatironinstitute/caiman>, an open source software package for standardized and reproducible analysis of fluorescence microscopy (calcium imaging) data. Basic duties: - Researching novel data analysis algorithms for large scale fluorescence microscopy data. - Maintenance of existing codebase and user support. Qualifications: - BA/BS degree (MA or PhD preferred) in Engineering, Computer Science, Mathematics, Neuroscience or related technical field. - Programming experience in Python. - Background in either neural data analysis, machine learning, statistics, image processing, or computer vision is preferred. Informal inquiries should be sent to epnevmatikakis(a)flatironinstitute.org For more information and to apply please follow this link <https://simonsfoundation.wd1.myworkdayjobs.com/en-US/simonsfoundationcareer…> .

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Professorship in Artificial Intelligence
by Steuber, Volker May 8, 2019

May 8, 2019

Professor of Artificial Intelligence University of Hertfordshire, UK School of Computer Science, College Lane Campus, Hatfield Salary £58,293 to £64,397 pa dependent on skills and experience FTE: Full time position working 37 hours per week (1.0FTE) Duration of Contract: Permanent position Closing date: 3 September 2018 Applications are invited for an exceptionally well qualified Professor of Artificial Intelligence of international standing who shares our commitment to research-informed teaching, embraces the research impact agenda, and values collegiality. Applicants will strengthen existing activity within the School and develop it further, enhancing the research strengths and external reputation of the School of Computer Science and contributing significantly to its performance in future research assessments and collaborations with public and commercial partners. The successful applicant will connect to and complement the research conducted by the Adaptive Systems Research Group within the Centre for Computer Science and Informatics Research. The School hosts the University of Hertfordshire Robot House, a facility ubiquitously equipped with low-cost sensors providing a realistic environment for experiments with robotics in a smart home; a fully-fledged RoboCup lab for development of humanoid robots participating in international competitions, and a large variety of different robotic platforms, including iCub and Baxter. We encourage applications from researchers across a wide spectrum of AI, and particularly encourage applications from researchers working on emerging topics in AI. Possible fields include, but are not limited to: • Machine learning: reinforcement learning, Deep Methods, statistical methods, large scale data modelling/intelligent processing and high-performance learning algorithms • Robotics: embodied and/or cognitive robotics, HRI, robot safety, emotional/social robots, smart homes and sensors, sensor fusion, assistive robotics • Complex Systems: collective intelligence, adaptive, autonomous and multi-agent/robot systems, collective and swarm intelligence, social and market modelling, adaptive, evolutionary and unconventional computation • Mathematical Modelling: statistical modelling, information-theoretic methods, compressive sensing, intelligent data visualization, multiscale models, optimization • Emerging Topics in AI: computer algebra and AI, topological methods (e.g. persistent homology), modern topics in games and AI • AI and applications: financial modelling, AI and biology/physics/cognitive sciences • Foundations: fundamental questions of intelligence and computation, emergence of life/intelligence, Artificial Life As well as providing research supervision at PhD and MSc level, the School of Computer Science offers modules in Artificial Intelligence, machine learning, neural and evolutionary computing, as well as Artificial Life on the BSc and MSc programmes. Applicants will be committed to a strong research and research-informed teaching agenda, and will actively contribute to increase research impact of the School, in the enthusiastic, welcoming and collegiate environment of the school. Applicants must hold a PhD (or equivalent) in a relevant subject, possess excellent communication skills in English, an internationally excellent research record and reputation, including publications of the highest quality suitable for submission to the REF (UK Research Excellence Framework). Applicants are expected to show evidence of experience and success in research/commercial income generation, engagement with the research impact agenda, engagement with key stakeholders in the relevant Artificial Intelligence community and management and leadership ability. The professor will have opportunity to contribute actively to interdisciplinary research projects at the school and university level. Applications must be made online https://www.herts.ac.uk/contact-us/jobs-and-vacancies/academic-vacancies?, reference 016194?. Informal enquiries may be addressed to Dr Volker Steuber (Associate Dean Research, v.steuber(a)herts.ac.uk) or Professor William Clocksin (Dean of School, w.clocksin(a)herts.ac.uk) Please note that applications sent directly by email will not be accepted.

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ML staff scientist position at NIMH/NIH
by Ryan Philips May 8, 2019

May 8, 2019

The National Institute of Mental Health (NIMH), a major research component of the National Institutes of Health (NIH), and the Department of Health and Human Services (DHHS), is seeking exceptional candidates for a Staff Scientist position in the Intramural Research Program (IRP), Section on Neurobiology of Fear & Anxiety. This section examines neural systems models of emotion/cognition interactions. This is done in two ways: one that focuses on anxiety in health and disease, and the other that uses a developmental perspective using large datasets. Four types of data are exploited, clinical/behavioral assessment, psychophysiology, fMRI (particularly 7T high-resolution scanner) and MEG. The candidate must have a doctoral degree (PhD) in computational neuroscience, or computer science/engineering and at least 5 years of experience post Ph.D. analyzing large datasets, modeling complex neural systems, using advanced machine learning algorithms. Experience with technical computing in MATLAB, R, C++ and a strong mathematical skill set is required. Knowledge of multi threaded and paralell computing environments is desirable. An interest in neuroscience or prior experience in neuroscience related fields is a plus. The staff scientist is expected to be a key member of the Section on Neurobiology of Fear and Anxiety, contributing to analytical methodology, design of new projects. Salary will be commensurate with education and experience. Applicants should send curriculum vitae and two letters of recommendation to Monique Ernst, MD, PhD, 301-675-4525, ernstm(a)mail.nih.gov. Applications will be accepted beginning April 1st. The position will be open until filled. HHS and NIH are Equal Opportunity Employers. Applications from women, minorities and persons with disabilities are strongly encouraged.

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Call for applications: NeuroNex Jr Scientist Workshop on Advance Neural Data Analysis
by Allison Ong May 8, 2019

May 8, 2019

Call for applications: NeuroNex Jr Scientist Workshop on Advance Neural Data Analysis at Columbia University Apply here: https://tinyurl.com/yyxnacmd Application Deadline: May 25, 2019 Workshop dates: August 26 - 29, 2019 Details: https://ctn.zuckermaninstitute.columbia.edu/junior Hosted by the Center for Theoretical Neuroscience at Columbia University Co-Organized by the NeuroNex Theory Team at University of Houston This workshop is intended for PhD students and postdocs who want to learn and share with their peers new advanced techniques in data analysis and apply them to complex neural datasets. Attendees will present their research projects, followed by a hands-on programming tutorial on the computational techniques used in their work. We encourage applications from female scientists and those belonging to underrepresented minorities. Funds will be provided by NSF's NeuroNex initiative to cover travel, accommodation, and meals. Questions? Email neuraldataworkshop(a)gmail.com

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Fully-funded 3 year PhD studentship in Mark Humphries' lab (Nottingham)
by Mark Humphries May 8, 2019

May 8, 2019

A fully funded PhD position is available with Prof. Mark Humphries at the University of Nottingham (UK), on a project entitled "Mapping the wires using neural activity". The studentship is for 3 years, and is open to UK/EU citizens. The wiring between neurons, the connectome, defines their activity. So in order to understand the activity of neurons we record from, we want to know the wiring between them. But current technology does not allow the simultaneous recording and tracing of the connections between neurons. To solve this problem, this project will develop computational techniques to accurately infer wiring between neurons from the next generation of imaging techniques that directly record neuron voltages. The project will combine development of algorithms, simulations of neural circuits as test-beds, and analysis of real imaging data from neural populations. For full details and application instructions please see: https://www.findaphd.com/phds/project/fully-funded-phd-position-mapping-the… For more on the Humphries Lab, see our website: https://www.humphries-lab.org/ For further information about the project, or to discuss other projects, please contact Prof Mark Humphries (mark.humphries(a)nottingham.ac.uk) This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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PhD position in computational neuroscience with Prof. Laurenz Wiskott in Bochum, Germany
by Laurenz Wiskott May 8, 2019

May 8, 2019

Please forward this job advertisement to candidates who might be interested. Thanks, Laurenz Wiskott. ___________________________________________________________________________ Open position for a PhD student with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany ___________________________________________________________________________ University: The Ruhr-Universität Bochum is one of the leading research universities. The university draws its strengths from both the diversity and the proximity of scientific and engineering disciplines on a single, coherent campus. This highly dynamic setting enables students and researchers to work across traditional boundaries of academic subjects and faculties. Institute: Institute for Neural Computation Ruhr-University Bochum Universitaetsstr. 150 D-44801 Bochum, Germany, EU The Institute for Neural Computation is a central research institute at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. Research group: Prof. Dr. Laurenz Wiskott, see https://www.ini.rub.de/research/groups/theory_of_neural_systems/ Research topics: We are looking for an outstanding candidate who will be working on a system-level model of spatial navigation with the hippocampus as one of its central areas. We use methods from neural networks and machine learning. It is also planned to simulate experiments done with rat and/or mice by our experimental partners. The position is part of a joint team with Prof. Sen Cheng working on developing a system-level model of hippocampal function for memory and navigation. This is being done in close interaction with a team working on similar questions from the machine learning perspective. Teaching: There is a teaching load of 3 hours per week during the semester, in particular for a programming course in python. Time: The appointment will be for three years and can then be extended for one more year if needed. The position is immediately available. Requirements: Candidates should have an education (equivalent to a MSc) in computer science, physics, mathematics, electrical engineering or any related field. Required are strong mathematical and programming skills (ideally in python) as well as the ability to communicate and work well in a team. Salary: Salary is 75% of salary scale TV-L E13. Inquiries: Informal inquiries can be addressed to Prof. Laurenz Wiskott <laurenz.wiskott(a)rub.de>. Application: Applications (CV, transcript of records for MSc and BSc, statement of purpose) should be sent as a single pdf file to Prof. Laurenz Wiskott <laurenz.wiskott(a)rub.de>. Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We therefore look forward to applications from qualified women. Applications from appropriately qualified handicapped persons are also encouraged.

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Registration and Call for Abstracts for the 2nd Conference of the Timing Research Forum
by teki May 7, 2019

May 7, 2019

Dear all, Registration and call for abstracts and symposium proposals for the 2nd Conference of the Timing Research Forum <http://timingforum.org/> (TRF2) is now open. TRF2 is the second international conference dedicated to multidisciplinary research on timing and time perception and will be held at UNAM in Queretaro, Mexico from October 15-17, 2019. TRF2 builds upon the massive success of TRF1 held in Strasbourg, France in Oct. 2017 that was attended by 250+ scientists with a shared passion for understanding timing and time perception through varied experimental, computational and clinical approaches. The deadline to submit abstracts and symposium proposals is May 25, 2019. During the submission process, please indicate if you wish to present an oral or poster presentation, and express your interest for student travel awards. All selected abstracts will be published in the journal, Timing and Time Perception Reviews <http://www.brill.com/node/37536>. We are pleased to announce three impressive Keynote Speakers - - Kia Nobre, Oxford University - Mehrdad Jazayeri, MIT - Albert Tsao, Stanford University Albert Tsao will give the TRF2 ECR Keynote Prize Lecture based on his paper - ’Tsao, Sugar, Lu, Wang, Knierim, Moser, Moser (2018; Nature) Integrating time from experience in the lateral entorhinal cortex’, that was selected by the members of TRF as the 'Best Timing Paper of 2018'. We look forward to proposals of sponsorship. Our sponsorship booklet is available here <https://drive.google.com/open?id=1UzZk6pYk5RgaNOXgpbnPXP4hHcHf1bz6>. Anyone interested in joining the Timing Research Forum can do so by following the instructions at this link <http://timingforum.org/membership>. For further details about abstract submission guidelines, conference program, registration, accommodation etc., please visit the TRF2 conference website - http://trf2.inb.unam.mx/. We encourage everyone to register early to avail discounted prices and look forward to seeing you in Queretaro! TRF2 Conference Chairs: Hugo Merchant, UNAM Victor de Lafuente, UNAM trf2mexico(a)gmail.com TRF2 Scientific Committee: Dean Buonomano, UCLA John Iversen, UCSD Rich Ivry, UC Berkeley Laurel Trainor, McMaster University Virginie van Wassenhove, INSERM Martin Wiener, George Mason University https://trf2.inb.unam.mx/?page_id=228 Timing Research Forum: Sundeep Teki, Amazon Alexa AI Argiro Vatakis, Panteion University TRF ECR Committee timingforum.org

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2019 NEURON Summer Course
by Carnevale, Nicholas May 7, 2019

May 7, 2019

A few seats remain open for the 2019 NEURON Summer Course, but you'll have to act quickly because the registration deadline is Friday, May 31, and no applications will be accepted after that date. This year's course will be held at the Minneapolis campus of the University of Minnesota (UMN) from Monday, June 10, through Saturday, June 15. It provides a thorough introduction to computational modeling of neurons and networks with NEURON, and is suitable for individuals at all levels of expertise. UMN has made a limited number of private and semiprivate rooms in graduate student housing available to course registrants at very affordable rates; further information will be provided to applicants upon payment of the course's registration fee. For more information and the on-line registration form, see https://neuron.yale.edu/neuron/static/courses/summer2019/summer2019.html --Ted

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7th Baltic-Nordic School on Neuroinformatics BNNI 2019, August, Frankfurt Germany
by Martin Mittag May 6, 2019

May 6, 2019

*7th Baltic-Nordic School on Neuroinformatics BNNI 2019* *Modeling Healthy and Diseased Brain: From Dendrites to Neurons and Networks*** *Frankfurt am Main, Germany* *26-28 August 2019* ** *We invite* Advanced master students, doctoral students, and postdoctoral researchers are welcome to participate in the BNNI 2019 to be held at the FIAS, the Frankfurt Institute for Advanced Studies, Frankfurt Main, Germany in August 2019. *The Course* The course is interdisciplinary and covers modeling at different levels of organization of the brain, from single neurons to microcircuits and networks. We will focus on differences between healthy and diseased brains. Participants will learn about compartmental and morphological modeling of synapses, dendrites and neurons, as well as simulating local field potentials (LFPs). The course combines lectures, tutorials and computer exercises. This summer school is the seventh in the series of the Baltic-Nordic Courses on Neuroinformatics (BNNI 2013 in Kaunas, Lithuania; BNNI 2014 in Tampere, Finland; BNNI 2015 in Tartu, Estonia; BNNI 2016 in Warsaw, Poland; BNNI 2017 in Kaunas, Lithuania; BNNI 2018 in Ventspils, Latvia). *Target audience* The target audience of the course will be advanced master students, doctoral students and postdoctoral researchers in biomedical and technology sciences, from medicine, biology, psychology, to mathematics, informatics, information technology, physics, chemistry, who would like to get an introduction to neuroinformatics and computational neuroscience. Some experience with programming and quantitative reasoning as well as strong interest in computational and mathematical modeling of the brain will be desirable but not necessary to benefit from the school. We will use the NEURON simulation environment for biophysical realistic models of neurons and the Matlab software package including the TREES toolbox. Desktop computers will be provided for the exercise part. *Important Dates* * 15 May 2019*: Application deadline * 1 June 2019:* Acceptance notification *26 - 28 August 2019:* School *Venue* The lectures will be held on 26th to 28th of August, 2019, at the: Frankfurt Institute for Advanced Studies, Ruth-Moufang-Straße 1, 60438 Frankfurt am Main, Germany. Frankfurt is a very international city in the heart of Germany and Europe. The city centre combines the historic, medieval past with the modern, economic present. We are looking forward to welcoming you in Frankfurt! *More information and applications at* _web.lsmuni.lt/bnni2019/en <http://web.lsmuni.lt/bnni2019/en>_ *Practical arrangements* The organizers will provide teaching materials, meals and coffee during the course. The participants are expected to cover their travel and health insurance expenses. There is a small fee to be paid (30 - 100 EUR). If you are not sure whether you can afford it, apply anyway. We have some stipends for members of OCNS (www.cnsorg.org) to give away. Student residence is provided and close to the campus in the Relexa hotel. *Faculty includes* Marja-Leena Linne, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland Bruce Graham, Institute of Mathematics and Informatics, University of Stirling, UK Ausra Saudargiene, Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania Arnd Roth, Wolfson Institute of Biomedical Research, University College London, UK Misha Tsodyks, Department of Neurobiology, Weizmann Institute of Science, Israel Dieter Jäger, Biology Department, Emory University, Atlanta, USA Gaute Einevoll, Norwegian University of Life Sciences & University of Oslo, Norway Matthew Larkum, Neurocure Cluster of Excellence, Humboldt University, Berlin, Germany Daniel Wojcik, Nencki Institute of Experimental Biology, Warsaw, Poland Hermann Cuntz, ESI & FIAS, Frankfurt, Germany Peter Jedlicka, ICAR3R, Justus Liebig University Gießen, Germany Gilles Laurent, MPI for Brain Research, Frankfurt, Germany Jochen Triesch, FIAS, Frankfurt, Germany Tatjana Tchumatchenko, MPI for Brain Research, Frankfurt, Germany Julijana Gjorgjieva, MPI for Brain Research, Frankfurt, Germany Arvind Kumar, KTH Royal Institute of Technology, Stockholm, Sweden Aiste Pranckeviciene, Lithuanian University of Health Sciences, Kaunas, Lithuania Viola Priesemann, MPI Göttingen, Germany Matthias Kaschube, FIAS, Frankfurt, Germany *Organizing committee* **** **Peter Jedlicka, ICAR3R, Justus Liebig University Gießen, Germany Ausra Saudargiene, Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania Marja-Leena Linne, Faculty of Biomedical Sciences and Engineering, Tampere University of Technology, Tampere, Finland Jochen Triesch, FIAS, Frankfurt, Germany * We are looking forward to welcoming you at the BNNI 2019 in Frankfurt am Main, Germany!*

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NEST Conference 2019 / Registration Deadline 15 May / Extended Poster Deadline 15 May
by Hans Ekkehard Plesser May 6, 2019

May 6, 2019

Dear Colleagues! We are looking forward to an exciting NEST Conference 2019 at NMBU, Ås, Norway on 24-25 June 2019 with talks covering a wide range of topics from simulation technology to large-scale network simulations as shown below. Please register at https://www.nest-initiative.org/conference by Wednesday, 15 May 2019 We still have a few slots for conference posters available, so you are still welcome to submit your poster until 15 May. Please see the conference website for instructions. We are looking forward to seeing you in Ås in June! Hans Ekkehard Plesser, Susanne Kunkel & Dennis Terhorst NEST Conference 2019 Talks (only presenting author shown) • GeNN: GPU-enhanced neural networks (James Knight) • Communication sparsity in distributed Spiking Neural Network Simulations to improve scalability (Carlos Fernandez-Musoles) • Sleep-like slow oscillations induce hierarchical memory association and synaptic homeostasis in thalamo-cortical simulations (Cristiano Capone) • Implementation of a Frequency-Based Hebbian STDP in NEST (Alberto Antonietti) • Spike Timing Model of Visual Motion Perception and Decision Making with Reinforcement Learning in NEST (Petia Koprinkova-Hristova) • What’s new in the NEST user-level documentation (Jessica Mitchell) • ICEI/Fenix: HPC and Cloud infrastructure for computational neuroscientists (Jochen Eppler) • Construction and characterization of a detailed model of mouse primary visual cortex (Stefan Mihalas) • Large-scale simulation of a spiking neural network model consisting of cortex, thalamus, cerebellum and basal ganglia on K computer (Jun Igarashi) • Simulations of a multiscale olivocerebellar spiking neural network in NEST: a case study (Alice Geminiani) • A NEST CPG for pythonic motor control: Servomander (Harry Howard) • NEST desktop: A web-based GUI for NEST simulator (Sebastian Spreizer) • Tools for the Visual Analysis of Simulation Datasets (Óscar David Robles) • Neural Network Simulation Code for Extreme Scale Hybrid Systems (Kristina Kapanova) • NEST performance profiling (Susanne Kunkel) -- Prof. Dr. Hans Ekkehard Plesser Head, Data Science Section Faculty of Science 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.nmbu.no/~plesser

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Postdoc opportunity in computational/human vision at the University of Toronto
by Dirk Bernhardt-Walther May 5, 2019

May 5, 2019

University of Toronto, Bernhardt-Walther Lab and Semantic Technology Lab A Post-doctoral position in computational modeling of vision and knowledge acquisition is available with Dirk Bernhardt-Walther (Psychology) and Michael Grüninger (Mechanical and Industrial Engineering) at the University of Toronto. We seek a colleague who shares our interest in explaining how structured knowledge about the world arises through visual perception. The project combines formal logic in ontologies with perceptual grouping of visual elements in complex, real-world scenes. Optionally, the project may involve measuring brain activity using functional magnetic resonance imaging. The ideal candidate has a strong computational and mathematical background, experience with state-of-the-art computer vision techniques and/or a strong background in computational neuroscience. The ability to communicate with a diverse team of researchers from engineering and psychology is an essential prerequisite. Current state-of-the-art computational models of visual processing are trained to extract visual features of increasing complexity in a hierarchy of layers, choosing a label from a pretrained set of categories at the apex of the hierarchy. Such systems lack an important aspect of the human visual system – a notion of meaning of visual content. The project aims to develop a new model of visual perception, which integrates the generation of networks of meaning into all levels of the visual processing hierarchy, thus allowing structured visual knowledge to arise naturally from visual perception. Specifically, this will involve the generation of a large database of images of real-world scenes with detailed ontological annotations, development of data structures and algorithms for extracting such ontological structures automatically from images, and testing the viability of our new meaning-based model of vision for explaining aspects of human vision. The University of Toronto, typically ranked as one of the world’s top 20 research universities, is located in downtown Toronto. The city is one of the most livable and cosmopolitan cities in the world, and has a vibrant academic and information technology community. This full-time position includes benefits and is fully funded for two years, with an initial appointment of one year. There is also the possibility of extending the position beyond the first two funded years by applying for outside fellowships. The earliest start date is September 3rd, 2019. Applicants should submit a CV, brief research statement, relevant publications, and contact details for two academic references to the addresses below. Please contact us at either address below for more information. Contact Details: Dirk Bernhardt-Walther: bernhardt-walther(a)psych.utoronto.ca, bwlab.utoronto.ca Michael Grüninger: gruninger(a)mie.utoronto.ca, stl.mie.utoronto.ca https://bwlab.utoronto.ca/postdoc-opening/

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Job Opening in Juelich, Germany: PhD project: An approach to tracking the provenance of data acquisition and analysis in neuroscience
by Martina Reske May 3, 2019

May 3, 2019

The Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE) provides an interdisciplinary environment for educating the next generation of data scientists in close contact to domain-specific knowledge and research. All three domains – life & medical sciences, earth sciences, and energy systems/materials – are characterized by the generation of huge heterogeneously structured data sets, which have to be evaluated in order to obtain a holistic understanding of very complex systems. Visit HDS-LEE at: www.hds-lee.de<https://www.hds-lee.de/> As a member of the Helmholtz Association, Forschungszentrum Jülich makes an effective contribution to solving major challenges facing society in the fields of information, energy, and bioeconomy. It focuses on varied tasks in the area of research management and utilizes large, often unique, scientific infrastructures. Come and work with around 5,900 colleagues across a range of topics and disciplines at one of Europe’s largest research centres. The institute The Institute of Neuroscience and Medicine (INM) at the Jülich Research Center in Germany investigates the structure and function of the brain. The department INM-6 consists of 6 groups that conduct research in the field of computational and systems neuroscience. The Statistical Neuroscience group headed by Prof. Sonja Grün develops computational methods to analyze the joint activity of neuronal networks, and applies these methods to experimental data in the context of international collaborations using state-of-the-art approaches from neuroinformatics. The group is hiring a Doctoral Student (m/f) to strengthen its international and interdisciplinary team. Your Job: - Conceptualization, development and implementation of a tool and services to capture provenance of advanced workflows for the analysis of electrophysiological neuroscience data from complex, high-dimensional experimental recordings of brain activity. - Implementation of version-controlled, provenance-tracked data/metadata processing and analysis workflows using state-of-the-art technologies along the FAIR principles. - Co-development of data types and object models, metadata schemata, ontologies and software tools to describe results data and provenance information for typical analysis scenarios in neuroscience. - Representing the technology at scientific conferences and courses, to the public, and within the EU Flagship Project “Human Brain Project”. Your profile - MSc. in natural sciences or computer science - Good expertise in Python. - Preferably knowledge in semantic web technologies relevant for data curation, ontologies and provenance (RDF, XML, JSON, SHACL, PROV,…), in version control and issue tracking systems, and in Linux; - Experience with electrophysiological data and corresponding acquisition/storage technologies - Excellent communication skills in English are mandatory: TOEFL or equivalent evidence of English-speaking skills - Outstanding organizational skills and the ability to work independently - A high level of scholarship as indicated, for example, by bachelor/master study transcripts and two reference letters - You are convincing with your confident attitude and good communication skills - Outstanding organizational skills and the ability to work independently - Very good cooperation and communication skills and ability to work as part of a team in an international and interdisciplinary environment Our offer - 3 year position - Continuous scientific mentoring by your scientific advisor - Chance of participating in (international) conferences - Further development of your personal strengths, e.g. via a comprehensive further training program - FZ Jülich does not award PhD tiles. Doctoral degree conferred by RWTH Aachen University - Exciting work setting on an attractive research campus with a very good infrastructure, ideally situated within the city triangle of Cologne, Düsseldorf, and Aachen - World class science environment at the interface between neuroscience and technology on the most complex known systems - Pay in line with 100 % of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund) - Unique HDS-LEE graduate school program - A position in a creative and international team that conducts research at the frontiers of science, themes ranging from computational neuroscience to simulation technology - The Jülich Research Center is one of the largest research centers in Europe, with excellent scientific equipment including the fastest supercomputer in Europe, is located on a green campus, and near the cultural centers Cologne, Düsseldorf, and Aachen/Aix-La-Chapelle - Outstanding scientific and technical infrastructure – ideal conditions for successfully completing a doctoral degree - Excellent scientific equipment including the fastest supercomputer in Europe Forschungszentrum Jülich aims to employ more women in this area and therefore particularly welcomes applications from women. We also welcome applications from disabled persons. Further information on HDS-LEE is available at: www.hds-lee.de<https://www.hds-lee.de/> Become a part of HDS-LEE and apply at [XXX] Apply until: 30th June 2019 Starting date: 1st August 2019 -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de<http://www.csn.fz-juelich.de> Office hours: TU & FR 9.00-17, WE & TH 9.00-13 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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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Kosice Neuroscience Workshop, 3 - 5 June, 2019
by Norbert Kopco May 3, 2019

May 3, 2019

FINAL CALL! The 4th Workshop on */"Cognitive neuroscience of auditory and cross-modal perception"/* 3 - 5 June 2019 Kosice, Slovakia http://pcl.upjs.sk/workshop2019 *Objectives* ·This workshop will include research talks (and introductory lectures) on a range of topics related to the *neural processes of auditory, visual and cross-modal perception*. ·The main focus of this year’s workshop will be on *adaptation, learning and training in spatial perception and cognition*. ·The talks will illustrate the *multidisciplinary character of cognitive neuroscience research*, covering behavioral, neuroimaging, and modeling approaches, as well as applications of the research in auditory prosthetic devices. ·The workshop targets *early-stage and advanced students and young researchers*. It will provide ample opportunities for direct interactions between the lecturers and the attendees. The workshop will follow-up on our previous workshops organized in 2014, 2015 and 2017 <http://pcl.upjs.sk/workshop>. *Format* 1/2-day sessions, including invited talks, contributed talks, and posters, focusing on the topics of *Adaptation*,*Learning and training*, *Auditory and cross-modal perception (general)*, as well *vision and other topics in computational and cognitive neuroscience*. Non-scientific program (outings to tourist destinations near Kosice) will take place on the day before and day after the workshop. Invited talks and talks by ALT consortium (for details click here <https://pcl.upjs.sk/workshop-2019-talks/>): * *Jana Bašnáková, <https://pcl.upjs.sk/workshop-2019-talks#Jana_Basnakova>*Slovak Academy Of Sciences – “ ‘It’s hard to give a good talk’ – the neural correlates of interpreting implicit meaning” <https://pcl.upjs.sk/workshop-2019-talks#Jana_Basnakova> * *Robert Baumgartner,* <https://pcl.upjs.sk/workshop-2019-talks#Robert_Baumgartner>Austrian Academy of Sciences – “Effects of spatial auditory cue realism on selective attention control and future perspectives on studying perceptual learning of these cues across the human lifespan” <https://pcl.upjs.sk/workshop-2019-talks#Robert_Baumgartner> * *Virginia Best, <https://pcl.upjs.sk/workshop-2019-talks#Virginia_Best>*Boston University, USA – “Investigating a visually guided hearing aid” <https://pcl.upjs.sk/workshop-2019-talks#Virginia_Best> * *Lauren Calandruccio, <https://pcl.upjs.sk/workshop-2019-talks#Lauren_Calandruccio>*Case Western Reserve University, USA – “Masked-sentence recognition: the effect of target and masker speech similarity” <https://pcl.upjs.sk/workshop-2019-talks#Lauren_Calandruccio>** * *Inyong Choi, <https://pcl.upjs.sk/workshop-2019-talks#Inyong_Choi>*The University of Iowa, USA – “Adapting to simultaneous electric and acoustic stimulation for word-in-noise recognition in listeners with single-sided deafness” <https://pcl.upjs.sk/workshop-2019-talks#Inyong_Choi> * *John Culling, <https://pcl.upjs.sk/workshop-2019-talks#John_Culling>*Cardiff University, UK – “Speech intelligibility in rooms” <https://pcl.upjs.sk/workshop-2019-talks#John_Culling> * *Erick Gallun, <https://pcl.upjs.sk/workshop-2019-talks#Erick_Gallun>*National Center for Rehabilitative Auditory Research, USA – ”Flipping the laboratory: Clinical research tools for bringing psychoacoustical testing to the patient” <https://pcl.upjs.sk/workshop-2019-talks#Erick_Gallun> * *Andrej Kráľ, <https://pcl.upjs.sk/workshop-2019-talks#Andrej_Kral>*Hannover Medical School, Germany – “Effective Connectivity Between Primary and Secondary Cortical Areas is Shaped by Early Hearing” <https://pcl.upjs.sk/workshop-2019-talks#Andrej_Kral> * *Norbert Kopčo, <https://pcl.upjs.sk/workshop-2019-talks#Norbert_Kopco>*P.J. Šafárik University, Slovakia – “Adaptation to Reverberation in Speech and Distance Perception” <https://pcl.upjs.sk/workshop-2019-talks#Norbert_Kopco> * *Bernhard Laback, <https://pcl.upjs.sk/workshop-2019-talks#Bernhard_Laback>*Austrian Academy of Sciences – “Re-weighting of binaural cues based on visual feedback” <https://pcl.upjs.sk/workshop-2019-talks#Bernhard_Laback> * *Piotr Majdak, <https://pcl.upjs.sk/workshop-2019-talks#Piotr_Majdak>*Austrian Academy of Sciences – “Computational models for listener-specific predictions of spatial audio quality” <https://pcl.upjs.sk/workshop-2019-talks#Piotr_Majdak> * *Petr Maršálek, <https://pcl.upjs.sk/workshop-2019-talks#Petr_Marsalek>*Charles University, Czech Republic – “Just noticeable differences in low frequencies below 500 Hz, loudness, localization; model and psychophysics” <https://pcl.upjs.sk/workshop-2019-talks#Petr_Marsalek> * *Catarina Mendonca, <https://pcl.upjs.sk/workshop-2019-talks#Catarina_Mendonca>*University of Azores, Portugal – “Changes in auditory space following audiovisual experience” <https://pcl.upjs.sk/workshop-2019-talks#Catarina_Mendonca> * *Josefa Oberem, <https://pcl.upjs.sk/workshop-2019-talks#Josefa_Oberem>*RWTH Aachen University, Germany – “Examining auditory selective attention in complex acoustic environments” <https://pcl.upjs.sk/workshop-2019-talks#Josefa_Oberem> * *John van Opstal, <https://pcl.upjs.sk/workshop-2019-talks#John_Van>*Radboud University, Netherlands – “Perceived Target Range Shapes Human Sound-Localisation Behaviour” <https://pcl.upjs.sk/workshop-2019-talks#John_Van> * *Nelli Salminen, <https://pcl.upjs.sk/workshop-2019-talks#Nelli_Salminen>*Aalto University, Finland – “Neural correlates of human spatial hearing measured with EEG and MEG” <https://pcl.upjs.sk/workshop-2019-talks#Nelli_Salminen> * *Dan Sanes, <https://pcl.upjs.sk/workshop-2019-talks#Dan_Sanes>*New York University, USA – “Learning and attention enhance cortex neuron sensitivity during auditory task performance” <https://pcl.upjs.sk/workshop-2019-talks#Dan_Sanes> * *Aaron Seitz, <https://pcl.upjs.sk/workshop-2019-talks#Aaron_Seitz>*University of California, USA – “Gamifying Perceptual Learning” <https://pcl.upjs.sk/workshop-2019-talks#Aaron_Seitz> * *Filip Smolík, <https://pcl.upjs.sk/workshop-2019-talks#Filip_Smolik>*Academy of Sciences of the Czech Republic – “Adaptation and learning in early language acquisition” <https://pcl.upjs.sk/workshop-2019-talks#Filip_Smolik> * *Brigitta Tóth, <https://pcl.upjs.sk/workshop-2019-talks#Brigitta_Toth>*Hungarian Academy of Sciences – “Top-down and bottom-up attention bias on change detection in auditory foreground and background” <https://pcl.upjs.sk/workshop-2019-talks#Brigitta_Toth> * *Beverly Wright, <https://pcl.upjs.sk/workshop-2019-talks#Bev_Wright>*Northwestern University, USA – “Auditory perceptual learning” <https://pcl.upjs.sk/workshop-2019-talks#Bev_Wright> *Venue* Lecture hall 2.17T,Faculty of Science / Technicom building, P. J. Šafárik University, Jesenná 5, 04001 Košice Slovakia <https://goo.gl/maps/6m3GC3iJNeA2>. *Organizers* Norbert Kopčo, P. J. Šafárik University in Košice <https://pcl.upjs.sk/noro/> Erick Gallun, National Center for Rehabilitative Auditory Research, Portland and OHSU <http://www.ncrar.research.va.gov/AboutUs/Staff/gallun.asp>Piotr Majdak, Austrian Academy of Science, Vienna <https://www.kfs.oeaw.ac.at/index.php?option=com_content&view=article&id=56:…> Aaron Seitz, University of California, Riverside <http://faculty.ucr.edu/%7Easeitz/> *Travel, accommodation, visitor information* see workshop webpage: http://pcl.upjs.sk/workshop2019/ *Registration* The workshop is open to all interested students/scientists. Registration is free of charge but required. To register, please send an email to kogneuro(a)gmail.com stating your name and affiliation and the dates on which you are planning to attend. All accepted abstracts will be published on the workshop website. No proceedings will be published. In case you would like to have a presentation please send us an abstract (up to 200 words; also indicate whether you prefer poster or oral presentation) no later than *May 15, 2019*. This workshop is supported by theEU H2020-MSCA-RISE-2015 project #691229 <http://pcl.upjs.sk/grants/alt/>.

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Neural Modeling Postdoc Position At Emory University, Atlanta
by Jaeger, Dieter May 2, 2019

May 2, 2019

A postdoctoral position is available for working in an NIH BRAIN initiative funded project on the role of the basal ganglia in motor decision making in behaving mice. The project aims to elucidate how subcortical structures feed back onto and influence cortical processing. The open position with a start date of Sept. 1, 2019 will involve biophysically detailed modeling of basal ganglia – thalamo-cortical interactions in the Jaeger lab at Emory University in Atlanta https://scholarblogs.emory.edu/jaegerlab/. An ongoing interaction with experimentalists is an important component of the project. Emory University presents a strong training environment in computational and systems neuroscience (e.g. http://livingtheory.emory.edu/ and http://biomed.emory.edu/PROGRAM_SITES/NS/research/computational-neuroscienc… ). The successful candidate needs previous computational modeling experience using the NEURON software and a strong background in the biophysics of neurons. Pay is according to the posted NIH NRSA schedule https://grants.nih.gov/grants/guide/notice-files/NOT-OD-19-036.html. If interested & qualified, please contact djaeger@emory. NOT-OD-19-036: Ruth L. Kirschstein National Research Service Award (NRSA) Stipends, Tuition/Fees and Other Budgetary Levels Effective for Fiscal Year 2019 - grants.nih.gov<https://grants.nih.gov/grants/guide/notice-files/NOT-OD-19-036.html> grants.nih.gov NIH Funding Opportunities and Notices in the NIH Guide for Grants and Contracts: Ruth L. Kirschstein National Research Service Award (NRSA) Stipends, Tuition/Fees and Other Budgetary Levels Effective for Fiscal Year 2019 NOT-OD-19-036. NIH Theory and Modeling of Living Systems<http://livingtheory.emory.edu/> livingtheory.emory.edu Welcome to the Theory and Modeling of Living Systems Initiative. The Theory and Modeling of Living Systems Initiative seeks to cultivate and expand research that builds theoretical frameworks for understanding living systems. Jaeger Lab at Emory – Systems Electrophysiology, Imagery and Computational Neuroscience - Emory University<https://scholarblogs.emory.edu/jaegerlab> scholarblogs.emory.edu Welcome to the Jaeger lab, Rollins Research Center, Department of Biology, Emory University, Atlanta, GA, U.S. Experimental and Computational Neurophysiology of Motor control under normal and pathological condition. Computational Neuroscience| GDBBS | Emory University<http://biomed.emory.edu/PROGRAM_SITES/NS/research/computational-neuroscienc…> biomed.emory.edu This area of research encompasses a diverse set of approaches in which mathematical or computational tools are used to better understand the nervous system. ________________________________ This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments).

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Two Funded Postdoctoral Positions in Parkinson’s Disease Research and Intervention
by Yasser Iturria Medina May 2, 2019

May 2, 2019

*Two Postdoctoral Fellows in Computational modeling and Precision Medicine applied to Parkinson’s Disease* We are looking for two highly motivated postdoctoral fellows, for joining the Neuroinformatics for Personalized Medicine lab (NeuroPM) at the Montreal Neurological Institute (McGill University, Montreal, Canada). The postdoctoral fellows will be under the supervision of Professor Yasser Iturria-Medina, and will be expected to collaborate with associated groups (e.g. Integrative Neuroscience Centre, Madrid, Spain). The projects, for 1.5 years and potentially extendable for another year, includes the analysis of multiple imaging modalities and therapeutic interventions in Parkinson’s disease, as well as the application of state-of-the-art brain computational models. The NeuroPM lab (http://www.neuropm-lab.com/) is affiliated with the Healthy brain for Healthy Lives (HBHL) initiative ( https://www.mcgill.ca/hbhl/) the Ludmer Center (http://ludmercentre.ca/) and the McConnell Brain Imaging Center (https://www.mcgill.ca/bic/) involving computationally intensive and interdisciplinary research on the brain. The MNI is an internationally renowned institution, characterized by the integration of research and patient care. Interested candidates should have a solid background in brain imaging and neurodegeneration. Experience in brain computational modeling will be an asset. Interested persons should send their CV, a cover letter stating research interests, and two reference letters. The fellows are expected to start as soon as possible. Salary: 45,000CAN$/year+25% in benefits. Contact: Yasser Iturria Medina, Email: iturria.medina(a)gmail.com -- Yasser Iturria Medina, PhD. Montreal Neurological Institute, McGill University Montreal, Canada H3A 2B4, Phone # 514-398-1524 Lab: http://www.neuropm-lab.com/

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A revised electromagnetic theory of the brain
by Patirniche, Dinu May 2, 2019

May 2, 2019

Dear Colleagues, A common dogma of neuroscience is that all electrical events occurring in the brain are well described by an electrostatic theory. However, adopting a geometric attitude it becomes immediately clear that the propagation of an action potential induced a non-conservative electric field within nearby spines, and thus an electromagnetic description of the function of a brain is unavoidable. I would like to present to you with a revised and simplified version of the theory I advanced last year, entitled "Dynamic Aspects of Finite Architectures". The current work can be accessed here: doi.org/10.13140/RG.2.2.20738.73925 . Best, Dinu Patirniche.

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NeuroBridges 2019 School Announcement
by Ahmed El Hady May 1, 2019

May 1, 2019

*/NeuroBridges 2019 Summer school , Cluny, France/* */( September 8th - September 19th, 2019)/* I would like to bring to your attention the *NeuroBridges 2019 Computational Neuroscience School*. <http://decision-making-lab.com/NeuroBridges/neurobridges2019.html> NeuroBridges <https://www.facebook.com/NeuroBridges/>is a one-of-a-kind series of scientific meetings in brain research, which brings together Mediterranean and Middle Eastern scientists, in order to promote international scientific cooperation in system and computational neuroscience. A major goal of this school is to serve as a bridge between experimental and theoretical neuroscientists, addressing system-level questions. This year the school will primarily focus on the neural basis and computational principles underlying sensory- motor tasks, in which the agent chooses from a small number of actions based on sensory and operant cues. *The forthcoming NeuroBridges 2019* will be a ten-day summer school. Students will attend lectures delivered by a group of leading neuroscientists, experimentalists as well as theoreticians, which will address the fundamental questions in the field of decision making. In addition to the lectures, the students will work in groups on small research projects. The school is intended for graduate students and postdocs, primarily (but not only) from the Middle East and the Mediterranean region either working in their home countries or abroad. We will consider applicants with some background in related fields in neuroscience or cognitive psychology. Through the online application system, you will be asked to provide personal details, academic background, a motivation letter that should include a paragraph about your quantitative skills and a CV. In addition, we request two recommendation letters. The school will take place between *September 8 and September 19, 2019* in Le Centre de Conferences Internationales de Cluny (CCIC) <http://www.ccic.eu/index.html>. Cluny is a small medieval town in Burgundy, France, located about 400km southeast of Paris (accessible by fast train, TGV). All costs of registration and accommodation will be covered by the organizers. A limited number of travel grants will also be available. *NeuroBridges* is co-organized by Ahmed El Hady <http://scholar.princeton.edu/ahmedelhady/home> (Princeton Neuroscience Institute, USA), Yonatan Loewenstein <http://elsc.huji.ac.il/loewenstein/home>(Hebrew University of Jerusalem, Israel) and David Hansel <https://neurophys.biomedicale.parisdescartes.fr/members/david-hansel/> (CNRS, Paris, France). Review of applications will end in May 2019. *2019 Faculty:* Merav Ahissar (Hebrew U.) <https://elsc.huji.ac.il/index.php?q=ahissar/home> Athena Akrami (UCL) <https://elsc.huji.ac.il/index.php?q=ahissar/home> Rafal Bogacz (Oxford) <https://www.ndcn.ox.ac.uk/team/rafal-bogacz> Thomas Boraud (CNRS) <http://www.inb.u-bordeaux2.fr/dev/EN/researcher.php?researcher=Thomas+Borau…> Mathew Diamond (SISSA) <https://phdcns.sissa.it/faculty/mathew-diamond> Ido Erev (Technion) <https://web.iem.technion.ac.il/en/people/userprofile/erev.html> Mehdi Khamassi (CNRS) <https://www.researchgate.net/profile/Mehdi_Khamassi> Najib Majaj (NYU) <https://www.researchgate.net/profile/Najib_Majaj> The deadline for application is *April 30th, 2019 *and the following is the website including the link for the online application: http://decision-making-lab.com/NeuroBridges/neurobridges2019.html <http://decision-making-lab.com/NeuroBridges/neurobridges2018.html> <http://decision-making-lab.com/NeuroBridges/neurobridges2018.html> For more information, please contactneurobridges2019(a)gmail.com <mailto:neurobridges2018@gmail.com>.

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postdoctoral position in computational neuroscience/mathematical biology
by Rubchinsky, Leonid L May 1, 2019

May 1, 2019

NSF-supported postdoctoral position in mathematical biology/computational neuroscience in my group in the Department of Mathematical Sciences at Indiana University-Purdue University Indianapolis (IUPUI). This position involves research in the mechanisms and properties of intermittent synchronization in neural and other living systems including collaboration with experimentalists. The position offers excellent interdisciplinary training possibilities in computational neuroscience and mathematical biology. Applicants should have (or expected to get in a near future) Ph.D. in mathematics, physics, neuroscience, biomedical engineering, computer science, or another related field. Applicants should have strong quantitative skills, some experience in dynamical modeling and data analysis, and a strong interest in life sciences applications. Experience in nonlinear dynamics, computational neuroscience, and mathematical biology is a plus. Please apply via mathjobs.org at https://www.mathjobs.org/jobs/jobs/13879. Screening of applications will continue until position is filled. Please address informal inquires to Leonid Rubchinsky via e-mail: lrubchin(a)iupui.edu Leonid *********************** Leonid Rubchinsky, PhD Associate Professor Department of Mathematical Sciences, Indiana University - Purdue University, Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin(a)iupui.edu http://www.math.iupui.edu/~lrubchin 317-274-9745 317-274-3460 (fax) ***********************

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CORRECTION: US Air Force Young Investigator Research Program (YIP)
by GREENWALD, HAL S DR-04 USAF AFMC AFOSR/RTA May 1, 2019

May 1, 2019

Announcement corrected below to note that doctorates must have been received NO EARLIER than April 1, 2012 (i.e., within the past 6 years, 11 months). --- The Air Force's annual Young Investigator Research Program (YIP) is an excellent way for new principal investigators in the US to accelerate their careers in basic research with three years of funding at up to $150,000 per year. Each year, every AFOSR portfolio can nominate one YIP recipient. Especially since the Cognitive & Computational Neuroscience portfolio is new this year, I wanted to make the neuroscience community aware of this opportunity (and also of the new portfolio). Unlike most of AFOSR's research grants that are open to researchers worldwide, YIP awards are limited to US persons (citizens, nationals, or permanent residents) with full-time, permanent positions at US institutions (by Oct. 1, 2019) who received their doctorates NO EARLIER than April 1, 2012. The application deadline for Fiscal Year 2020 awards is June 3, 2019. Program Description: The Air Force YIP supports scientists and engineers who have received Ph.D. or equivalent degrees within the last seven years and show exceptional ability and promise for conducting basic research. The objectives of this program are: 1. to foster creative basic research in science and engineering; 2. enhance early career development of outstanding young investigators; 3. and increase opportunities for the young investigator to recognize the Air Force mission and related challenges in science and engineering. Eligibility: Individual awards are made to U.S. institutions of higher education, industrial laboratories, or non-profit research organizations where the principal investigator (PI) is employed on a full-time basis and holds a regular position. YIP PIs must be a U.S. citizen, national, or permanent resident. Researchers working at a Federally Funded Research and Development Center or DoD Laboratory are not eligible for this competition. Research proposals must address Research Interests of the Air Force Office of Scientific Research, FA9550-19-S-0003, found at https://www.grants.gov/web/grants/view-opportunity.html?oppId=314753. Most YIP awards are funded up to $150,000 per year for three years, for a total of $450,000. Exceptional proposals will be considered individually for higher funding levels and/or longer duration. For more information about this funding opportunity, please see https://www.grants.gov/web/grants/view-opportunity.html?oppId=313523. Questions about YIP may be sent to afosryip(a)us.af.mil <mailto:afosryip@us.af.mil> . Sincerely, Hal Greenwald Hal S. Greenwald, Ph.D. Program Officer, Cognitive & Computational Neuroscience Air Force Office of Scientific Research (AFOSR/RTA) 875 N. Randolph St. Arlington, VA 22203-1768 (703) 588-8441

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Fully Funded PhD position: Machine learning for studying structural and functional connectivity of the brain, Trento (Italy)
by Emanuele Olivetti April 30, 2019

April 30, 2019

Applications are invited for a fully-funded 4-years Ph.D. scholarship at the NeuroInformatics Laboratory (NILab), Italy. NILab is a joint collaboration between Fondazione Bruno Kessler ( https://www.fbk.eu/en/about-fbk/) and the Center of Mind and Brain Sciences (https://www.cimec.unitn.it/en/14/the-center) within the University of Trento, Italy. Title: Machine learning for studying structural and functional connectivity of the brain Topics: machine learning, brain connectivity, diffusion MRI, Magnetoencephalography (MEG), longitudinal studies and human cognition Description: Neuroimaging methods, like sMRI, dMRI, fMRI and MEG/EEG can be used to investigate the anatomical and functional connectivity of the brain. This project will enable the candidate to pursue research on machine learning methods for such neuroimaging data for brain connectivity, with applications to longitudinal studies and to human cognition. The ideal candidate should have a mixed background both in cognitive neuroscience and numerate disciplines, like computer science, engineering, physics or mathematics. This project is in collaboration with the Division of Neurosurgery, S. Chiara Hospital, Trento and with the MEG Lab of CIMeC/LNiF, University of Trento. Please contact in advance: Emanuele Olivetti, olivetti(a)fbk.eu Deadline: May 21, 2019 Online application details below. Corresponding research area in the online application: NEUROIMAGING METHODS AND ANALYSIS Topic-Specific Grant: "4. Machine learning for studying structural and functional connectivity of the brain." ---------------------------------------------------------- From: PhD CIMeC <phd.cimec(a)unitn.it> Subject: [CIMeC-FYI] Call for 17 funded PhD positions NOW OPEN @ CIMeC, UNITrento. Italy Dear CIMeC Supporters, We are pleased to announce the opening of our annual call for *17 PhD fellowships* for the international Doctorate in Cognitive and Brain Sciences (CIMeC), commencing November 2019 at the University of Trento, Italy. As you will see from the links below, the call is open to several fields of cognitive neuroscience research. Interested candidates should contact the Principle Investigators who proposed topics of interest to them. - *Admissions*: http://www.unitn.it/drcimec/admission - Proposed 2019 PhD research topics: http://www.unitn.it/drcimec/research-topics - PhD Application *summary*: *https://www.unitn.it/drcimec/116/admission-doctorate-cognitive-and-brain-sciences <https://www.unitn.it/drcimec/116/admission-doctorate-cognitive-and-brain-sc…>* - PhD *Application *link: https://webapps.unitn.it/Apply/en/MyUnitn/Home/669/dott/cbs35 - PhD Application *Deadline*:* Thursday May 21, 2019, at 4pm (Italian time)* - *CIMeC*: http://www.unitn.it/cimec This year’s research topics proposed by the Doctoral Program Committee for 5 UNITN grants are visible here: http://www.unitn.it/drcimec/research-topics, while the 12 topic-specific grants’ details can be found here: http://www.unitn.it/drcimec/topic-specific-grants *The CIMeC, it’s doctoral program and UNITN in numbers:* - UNITrento ranks among top Italian Universities https://www.unitn.it/en/ateneo/1636/rankings - *4-yr program* (Nov. 1, 2019- Oct. 31, 2023). - Why a 4-yr program <http://www.unitn.it/drcimec/node/117> - Courses are in English - 17 positions, 100% funded - Salary: starting at approximately €1.200/mo., net - Winners receive a €4887 tax-free research/mobility budget - Why choose UNITRENTO <http://www.unitn.it/en/ateneo/1629/why-choose-the-university-of-trento> Please feel free to browse the FAQ <http://www.unitn.it/drcimec/node/122> pages on our website for further information, or contact the Head of the Programme, Prof. Yuri Bozzi phd.cimec(a)unitn.it. Regards, Leah Mercanti -- Leah Mercanti CIMeC PhD Program Administrator -------------------------------------------------------- CIMeC - Center for Mind/Brain Sciences University of Trento Corso Bettini, 31 I-38068, Rovereto (TN) Tel: +39 0464 80 8617 Fax: +39 0461 28 8690 Skypename: lleahhatwork Email: phd.cimec(a)unitn.it http://www.unitn.it/drcimec/ -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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Call for SIG and WG meetings in Warsaw, before INCF's Neuroinformatics 2019. Deadline June 1.
by Malin Sandström April 30, 2019

April 30, 2019

Dear all, INCF is calling for community proposals for Special Interest Group (SIG) and Working Group (WG) meetings to be held in Warsaw on 31 August 2019, the day before the INCF Assembly. The call is open both to new and existing INCF SIGs/WGs. *Deadline is June 1st.* INCF is working to make neuroscience more FAIR (Findable, Accessible, interoperable, Reusable), by promoting the creation and uptake of standards and best practices in neuroscience, as applied to tools and infrastructure, and by running a community endorsement process for new and existing standards and best practices. SIGs have an important role in this process, as community-initiated groups where users and developers can meet to align interests, set up working groups and work collaboratively to develop, refine, and implement new community standards and best practices to be proposed for endorsement. The SIGs also serve as the focus for getting agreement and community buy-in on the use of these standards and best practices. SIG meetings in Warsaw should aim to: - investigate the possibility to establish new SIGs (possible activities include: survey for possible members and group activities, draft a plan of activities from community input) - update community members on SIG activities and progress since last year (existing SIGs), invite community input - form Working Groups (possible activities include: general meeting, set deliverables (develop new or extend existing standards and best practices), work on an application for INCF Working Group funding WG meetings in Warsaw should aim to: - update community members on SIG activities and progress since last year (existing WGs), - invite community input, - solicit new members INCF will support both SIGs and Working Groups with meeting logistics at INCF-associated meetings during the upcoming year, as well as offer funding for Working Group activities. Please submit your proposals for SIG and WG meeting themes no later than *June 1st*. Note that the submitter is assumed to also be the meeting leader, unless otherwise stated. Any questions can be directed to Malin Sandström, malin(a)incf.org Call page: https://www.incf.org/activities/standards-and-best-practices/incf-special-i… INCF SIG pages: https://www.incf.org/activities/standards-and-best-practices/incf-special-i… Best regards, Malin -- Malin Sandström, PhD Community Engagement Officer malin.sandstrom(a)incf.org International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels väg 15 A SE-171 77 Stockholm Sweden http://www.incf.org

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Web Site Moved
by Jim Perlewitz April 30, 2019

April 30, 2019

”Computational Neuroscience on the Web” has moved. Please update bookmarks / links. It can now be found here: https://compneuroweb.com <https://compneuroweb.com/> For 20 years, the site has been providing links to CNS researchers, modeling and analysis software, web accessible data and models, mailing lists, conferences, workshops, courses and more, Do give it a look. Please send suggestions. Best regards, Jim

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Registration open for the UK Neural Computation 2019 meeting
by Mark Humphries April 29, 2019

April 29, 2019

We are delighted to announce that registration is open for the UK Neural Computation 2019 meeting! The main meeting will be 2nd-3rd July 2019, at the University of Nottingham. Invited speakers: Athena Akrami / Andy Barron / Tim Behrens / Claudia Clopath / Matthias Hennig / Simon Laughlin / Rosalyn Moran / Cian O'Donnell / Chris Summerfield / Tim Vogels / Barbara Webb Please register here: https://drmdhumphries.wixsite.com/ukneuralcomp2019/registration Deadline: June 21st 2019 We are offering a limited number of registrations (25) for early-career researcher workshops preceding the meeting, on Monday July 1st. Please see the Programme for full details at https://drmdhumphries.wixsite.com/ukneuralcomp2019 Abstract submission is still open here: https://drmdhumphries.wixsite.com/ukneuralcomp2019/abstracts Abstract submission closes: May 10th Decisions: May 24th Kind regards Mark Humphries (Chair) Hannes Saal, Robert Schmidt, and Stuart Wilson (Organising committee) This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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Workshop in Copenhagen, May 23rd-25th 2019
by Henrik Anders Lindén April 28, 2019

April 28, 2019

Dear colleagues, We are organising a somewhat unusual workshop this coming May where we still have some seats left. The purpose of the workshop is to gather leading neuroscientists to discuss how a fundamental brain theory could be formulated. Each participating speaker has been given as homework to prepare a talk describing their view on such a theory, and to speculate on aspects where they don’t yet have the answers. The workshop will be a “real” workshop the sense that the invited speakers will work together on formulating a theory, and spend most of the time on discussions. The workshop is the second in a series, where the outcome of the first workshop (held in September 2016) was published in a Neuron issue published in June 2017: https://www.cell.com/neuron/issue?pii=S0896-6273(16)X0012-8 The confirmed speakers are: - Adrienne Fairhall, Univ. Washington, Seattle, USA - Alexa Riehle, CNRS, Marseille, France - Bing Brunton, Univ. Washington, Seattle, USA - Gyorgy Buzsaki, NYU, New York, USA - Haime Hirase, RIKEN, Wako,Japan - Jack Cowan, Univ. Chicago, Chicago, USA - Peter Dayan, MPI, Tübingen, Germany - Richard Morris, Univ. Edinburgh, Edinburgh, UK - Sara Solla, Northwestern Univ., Chicago, USA - Sophie Denève, ENS, Paris, France - Terry Sejnowski, Salk Institute, San Diego, USA - Wulfram Gerstner, EPFL, Lausanne, Switzerland - Yiota Poirazi, IMBB-FORTH, Heraklion-Crete, Greece - Zhaoping Li, MPI, Tübingen, Germany. Time: May 23rd-25th 2019, between 9-17 each day Place: The Carlsberg Academy, Copenhagen, Denmark. Information about the venue can be found here: https://www.carlsbergfondet.dk/en/About-the-Foundation/The-Carlsberg-Founda…<https://www.carlsbergfondet.dk/en/About-the-Foundation/The-Carlsberg-Founda…'s-home/The-Carlsberg-Academy> Registration: Attendance is free of charge but registration is required. (Note also that to be able to keep the registration free of charge no meals are included during the workshop.) Please register here: https://in.ku.dk/forms/how_brains_work/ See also the workshop homepage: https://in.ku.dk/seminars-and-events/workshop-developing-a-theory-on-how-br… Workshop steering board: Sophie Denève, John Hertz, Richard Morris, Maiken Nedergaard, Henrik Lindén and Per Roland On behalf of the steering board of the Copenhagen Initiative, Henrik Lindén and Per Roland (University of Copenhagen, Denmark) -- Henrik Lindén, PhD Assistant professor (adjunkt), University of Copenhagen Department of Neuroscience Blegdamsvej 3 DK-2200 Copenhagen N email: hlinden(a)sund.ku.dk<mailto:hlinden@sund.ku.dk> web: http://lindenh.wordpress.com

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Staff scientist position in the Section on Neurobiology of Fear and Anxiety, NIMH/NIH
by Ryan Philips April 27, 2019

April 27, 2019

The National Institute of Mental Health (NIMH), a major research component of the National Institutes of Health (NIH), and the Department of Health and Human Services (DHHS), is seeking exceptional candidates for a Staff Scientist position in the Intramural Research Program (IRP), Section on Neurobiology of Fear & Anxiety. This section examines neural systems models of emotion/cognition interactions. This is done in two ways: one that focuses on anxiety in health and disease, and the other that uses a developmental perspective using large datasets. Four types of data are exploited, clinical/behavioral assessment, psychophysiology, fMRI (particularly 7T high-resolution scanner) and MEG. The candidate must have a doctoral degree (PhD) in computational neuroscience, or computer science/engineering and at least 5 years of experience post Ph.D. analyzing large datasets, modeling complex neural systems, using advanced machine learning algorithms. Experience with technical computing in MATLAB, R, C++ and a strong mathematical skill set is required. Knowledge of multi threaded and paralell computing environments is desirable. An interest in neuroscience or prior experience in neuroscience related fields is a plus. The staff scientist is expected to be a key member of the Section on Neurobiology of Fear and Anxiety, contributing to analytical methodology, design of new projects. Salary will be commensurate with education and experience. Applicants should send curriculum vitae and two letters of recommendation to Monique Ernst, MD, PhD, 301-675-4525, ernstm(a)mail.nih.gov. Applications will be accepted beginning April 1st. The position will be open until filled. HHS and NIH are Equal Opportunity Employers. Applications from women, minorities and persons with disabilities are strongly encouraged.

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PhD position in computational neuroscience at IIT - deadline May 15th
by Stefano Panzeri April 27, 2019

April 27, 2019

*Fully funded PhD Position at IIT - Computational approaches to study the neural code* I am are seeking candidates for a fully funded PhD position at the Italian Institute of Technology’s in the lab directed by Stefano Panzeri ( https://www.iit.it/people/stefano-panzeri ). IIT collaborates with University of Bologna and finances the positions at the PhD course in Data Science and Computation. Although formally enrolled at the University of Bologna, the successful candidate will have the opportunity to conduct research either at the IIT center in Rovereto (Italy), or at the IIT headquarters in Genova, (Italy). The PhD project can focus on any of the research topics about neural information processing that are of interest to both the candidate and my lab, including: developing mathematical analysis methods and neural network models for studying large scale neural population coding during cognitive tasks, for studying the neural bases of sensory perception and decision making, for linking functional to anatomical connectivity with cellular resolution at the neural population level, and for determining the best theoretical framework to combine recording of neural activity (calcium imaging, electrophysiology, EEG) and intervention on it (optogenetics, TMS). My computational neuroscience lab has developed long-term collaboration with many experimental laboratories including Christopher Harvey and Wei Lee (Harvard Medical School), Nikos Logothetis (Tuebingen), Tommaso Fellin (IIT), Mathew Diamond and Davide Zoccolan (SISSA), Alex Thiele (Newcastle), Cristina Becchio (IIT) and others. The PhD project will likely involve collaborations with one or more experimental lab. For recent representative publications please see: van Vugt B, et al, (2018) Science: in press. DOI: 10.1126/science.aar7186 Zaldivar, D., et al, (2018) Current Biology 28: 224-235 Runyan C. A., et al (2017) Nature: 548: 92-96 Panzeri, S, et al (2017) Neuron 93: 491-507 Safaai, H. et al (2015) Proc. Natl. Acad. Sci. USA 112(41): 12834–12839 Fasoli, D. et al (2016) PLoS Computational Biology, 12(8): e1004992. Panzeri, S., et al (2015) Trends in Cognitive Sciences 19: 162-172 Einevoll, G., et al (2013) Nature Reviews Neuroscience, 14, 770-785 The ideal candidate should have a strong background in numerate sciences, and have a strong propensity for interdisciplinary research. No extensive previous experience in neuroscience is needed. However, a keen interest in understanding the brain is essential. The deadline for the formal application is set to *May 15thst 2019*, but interested candidates are invited me to contact me informally by email ( stefano.panzeri(a)iit.it) *as soon as possible,* and no later than May 8th 2019, by attaching their CV and briefly explaining their interest in this position, to initiate discussion about potential PhD projects of interest. In order to formally apply to the PhD Position, candidates will then need to refer to the call published by Università degli Studi di Bologna ( https://www.unibo.it/en/teaching/phd/2019-2020/data-science-and-computation) The PhD position available for projects under my supervision is one of those financed by IIT. Candidates that are wishing to apply will be able to rely on my advice and feedback to understand how to complete the application. Yours truly, Stefano Panzeri

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postdocship on computational modeling of reading
by Meeter, M. April 27, 2019

April 27, 2019

Postdoctoral fellowship: Computational modeling of reading Right now you are reading. It does not cost you much effort because it is a highly automated process, but you are simultaneously decoding letters, moving visual attention, programming eye movements, recognizing words, stringing them together in a coherent syntactic and semantic representation, and adducing the intentions of the writer. We understand these individual processes in reading, but not how our brain can perform them simultaneously at the phenomenal speed of about 200 ms per word. Recently, a group of researchers in Marseille and Amsterdam has collaborated on the ambitious goal to create one computational model that describes all processes involved in reading, from the single letter up to understanding a sentence. Within this collaboration, there is an opening for a two-year postdoctoral fellowship to work on computational modelling. The candidate will work on extending the already published OB-1 model (Psychological Review<https://research.vu.nl/en/publications/ob1-reader-a-model-of-word-recogniti…>, 2018). While the exact direction taken may depend on the interests of the candidate, this will include improving word recognition processes and accounting for EEG responses recorded during reading. Practicalities The postdoc will work in Amsterdam in the group of Martijn Meeter, but also be expected to regularly visit the Marseille group of Jonathan Grainger. The two-year position is potentially renewable for a third year. Official employer will be Université Aix-Marseille, including a one-year trial period. A postdoc salary in France is about €2606 a month; travel costs will be covered. Starting date is preferably 1 September 2019, but other dates can be discussed. Required skills are: * Experience with computational modelling * Good to excellent programming skills, notably in Python * An interest in language as field of research The positions are part of an ERC grant to Jonathan Grainger. More information can be requested at i.jonathan.grainger(a)gmail.com<mailto:i.jonathan.grainger@gmail.com> or m(a)meeter.nl<mailto:m@meeter.nl>. To apply, please send an email before 1 June with as title “Postdoc computational model”to m(a)meeter.nl<mailto:m@meeter.nl> , with as attachments: * a letter of application, * your resume * names of two references (will only be contacted with your permission), Best, Martijn Meeter ------------------------------- Prof. dr. M. Meeter Vrije Universiteit Amsterdam Dept. of Education Science http://www.meeter.nl/m<https://webmail.login.vu.nl/OWA/redir.aspx?SURL=l3I3NtaZYJte9nu-0v--nYrWbGa…> --------------------------------

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US Air Force Young Investigator Research Program (YIP)
by GREENWALD, HAL S DR-04 USAF AFMC AFOSR/RTA April 27, 2019

April 27, 2019

The Air Force's annual Young Investigator Research Program (YIP) is an excellent way for new principal investigators in the US to accelerate their careers in basic research with three years of funding at up to $150,000 per year. Each year, every AFOSR portfolio can nominate one YIP awardee. Especially since the Cognitive & Computational Neuroscience portfolio is new this year, I wanted to make the neuroscience community aware of this opportunity (and also of the new portfolio). Unlike most of AFOSR's research grants that are open to researchers worldwide, YIP awards are limited to US persons (citizens, nationals, or permanent residents) with full-time, permanent positions at US institutions who received their doctorates no later than April 1, 2012. The application deadline for Fiscal Year 2020 awards is June 3, 2019. Program Description: The Air Force YIP supports scientists and engineers who have received Ph.D. or equivalent degrees within the last seven years and show exceptional ability and promise for conducting basic research. The objectives of this program are: 1. to foster creative basic research in science and engineering; 2. enhance early career development of outstanding young investigators; 3. and increase opportunities for the young investigator to recognize the Air Force mission and related challenges in science and engineering. Eligibility: Individual awards are made to U.S. institutions of higher education, industrial laboratories, or non-profit research organizations where the principal investigator (PI) is employed on a full-time basis and holds a regular position. YIP PIs must be a U.S. citizen, national, or permanent resident. Researchers working at a Federally Funded Research and Development Center or DoD Laboratory are not eligible for this competition. Research proposals must address Research Interests of the Air Force Office of Scientific Research, FA9550-19-S-0003, found at https://www.grants.gov/web/grants/view-opportunity.html?oppId=314753. Most YIP awards are funded up to $150,000 per year for three years, for a total of $450,000. Exceptional proposals will be considered individually for higher funding levels and/or longer duration. For more information about this funding opportunity, please see https://www.grants.gov/web/grants/view-opportunity.html?oppId=313523. Questions about YIP may be sent to afosryip(a)us.af.mil <mailto:afosryip@us.af.mil> . Sincerely, Hal Greenwald Hal S. Greenwald, Ph.D. Program Officer, Cognitive & Computational Neuroscience Air Force Office of Scientific Research (AFOSR/RTA) 875 N. Randolph St. Arlington, VA 22203-1768 (703) 588-8441

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Postdoctoral fellowships at the Neuromathematics Center in Sao Paulo State, Brazil
by Antonio Roque April 24, 2019

April 24, 2019

Positions for Postdoctoral Researchers The Research, Innovation and Dissemination Center for Neuromathematics ( NeuroMat <https://neuromat.numec.prp.usp.br/>), hosted by the University of Sao Paulo, Brazil, and funded by the Sao Paulo Research Foundation (FAPESP <http://www.fapesp.br/en/>), is offering several postdoctoral fellowships for recent PhDs with outstanding research potential. The research will involve collaborations with experimental and theoretical groups and laboratories associated to NeuroMat. The research to be developed by the postdoc fellows shall be strictly related to ongoing research lines developed by the NeuroMat team. The project may be developed at USP Sao Paulo, USP Ribeirao Preto or Unicamp. We seek candidates capable to develop independent research in one of the research lines below. 1. Stochastic and/or computational modeling of the brain functioning. 2. Acquisition, processing and quantitative analysis of electrophysiological data. 3. Biomedical devices for neuroscience research. Candidates to the first research line are required to have at least one of the profiles below: · A strong background in probability theory with emphasis on stochastic processes. Previous knowledge of rigorous statistical mechanics or random graphs will be favorably considered. · A strong mathematical and/or computational background and experience with computers and programming. Previous experience with development and/or simulation of neural brain models, complex networks and parallel computing will be favorably considered. Candidates to the second research line are required to have at least one of the profiles below: · A strong background in neuroscience with previous experience in neurophysiological data acquisition, processing and analysis, and knowledge of computer programming. · A strong background in computer science with experience in the development of algorithms, software tools and data bases. Previous research experience in neuroscience or related areas will be favorably considered. Candidates to the third research line are required to have at least one of the profiles below: · A strong background in electromagnetism and biomedical engineering. Previous knowledge of transcranial magnetic stimulation or magnetic/electric field simulation will be favorably considered. · A strong background in computer science and control software development expertise. Previous experience with neuroscience and neuronavigation systems will be favorably considered. Previous experience with multidisciplinary research teams is welcome for all the above research lines. The initial appointment is for one year, with a possible extension to up to four years, conditional on research progress. The fellowship is competitive at international level, and fellows benefit from extra funds for travel and research expenses plus limited support for relocation expenses. Application Instructions Applicants should complete and submit the application form <https://neuromat.numec.prp.usp.br/postdoc/new>. The following documents and information are requested (please see the form for further details): · Summary of the CV, in the FAPESP format (see www.fapesp.br/en/6351 for instructions.) · List of publications, with links to those available online. · A summary of the research plan for the next year, up to 5 pages length. It should explicitly state for which of the three above profiles the candidate is applying. It should also address its place within the framework of the NeuroMat research program <https://neuromat.numec.prp.usp.br/scientific-project>. · Pointers to other research related output, such as software, web pages, and so forth. Candidates should be willing to send copies of publications, if requested. · Any further information deemed relevant to the application. In addition to the above, we require at least 2 recommendation letters. Those should be mailed by the recommenders directly to postdoc-appl(a)numec.prp.usp.br. Candidates are encouraged to apply at their earliest convenience until June 3rd, 2019. Appointments are expected to start by September 1st, 2019. The initial period of the position lasts for 12 months, with possible renovations for up to four years. This opportunity is open to candidates of any nationality. The selected candidates will be awarded FAPESP Post-Doctoral fellowships in the amount of BRL 7,372.40 monthly and a research contingency fund, equivalent to 15% of the annual value of the fellowship, which should be spent in items directly related to the research activity. More information about the fellowship is at: www.fapesp.br/en/5427. -- Dr. Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil E-mails: antonior(a)usp.br <antonior(a)ffclrp.usp.br> aroquesilva(a)gmail.com URL: www.sisne.org Tels: +55 16 3315-3768 <+55%2016%203315-3768> (sala/office); +55 16 3315-3859 <+55%2016%203315-3859> (lab) FAX: +55 16 3315-4887 <+55%2016%203315-4887>

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Post-doc @ Univ of Toronto: bioinformatics, neuron modeling, and machine learning
by Shreejoy Tripathy April 24, 2019

April 24, 2019

Post-doctoral fellowship in multi-scale bioinformatics and neuroscience – Tripathy laboratory, CAMH, University of Toronto Job Description: We are looking for a post-doctoral fellow with a background in bioinformatics, computational biology, or neuroinformatics. The position is in the Laboratory for Computational Genomics, under the supervision of Dr. Shreejoy Tripathy (https://triplab.org/) . The post-doc will contribute to a growing team at the new Krembil Centre for Neuroinformatics, based at CAMH and the University of Toronto. Project Description: The candidate will lead a multi-disciplinary dry-lab project in multi-omics and cellular neuroscience. The project’s goal is to identify cross-modal relationships between: 1) human genotypes; 2) tissue- and cell type-specific gene expression; and 3) neuronal and circuit phenotypes, including electrophysiology, morphology, and synaptic physiology. The candidate will develop and apply machine learning and statistical methods to translate information across these data types. The project will make use of publicly-accessible datasets (e.g., PGC, PsychEncode, Allen Institute) as well as private datasets provided by collaborators. The post-doc will interface with a team of experimentalists and computational modelers to directly test their predictions and work with clinician-scientists to use these approaches for patient stratification. The ideal candidate is someone who is passionate about using basic research in genomics and neuroscience to improve the understanding and treatment of psychiatric disorders. Position details: The position is for a duration of up to 3 years, renewed yearly. Compensation, including benefits, is competitive and will be based on experience and established pay-scales. The candidate will support a healthy workplace that embraces diversity, encourages teamwork, and complies with all applicable and regulatory requirements. Qualifications: A recent PhD in bioinformatics, neuroscience, or statistics (or equivalent computational discipline) Considerable experience programming, scripting, and analyzing data in a high-level language (e.g., R, Python, or MATLAB) Experience analyzing and quality-controlling multi-omics datasets, including genotyping, transcriptomics, and cellular characteristics A track record for independent research that demonstrates creativity Excellent communication skills and experience working in a collaborative and multi-disciplinary environment How to apply: A complete application should include a brief cover letter, a curriculum vitae, and the contact information for 2-3 references. Submit applications to Shreejoy Tripathy (shreejoy.tripathy(a)utoronto.ca) with the title: “Post-doc in multi-scale bioinformatics and neuroscience” in the subject line. In the cover letter, please highlight one or two publications or preprints the candidate feels is their best work. Applications will be reviewed in an ongoing manner and the position will remain open until filled. About the Krembil Centre for Neuroinformatics: In 2017, Centre for Addiction and Mental Health (CAMH) established its new $15-million Krembil Centre for Neuroinformatics to leverage the largest mental health patient database in Canada and combine world-leading talent specializing in computational approaches to brain science, a robust data integration platform, and analytical tools to accelerate and revolutionize the world’s understanding of the brain and brain-based illnesses. The Krembil Centre for Neuroinformatics positions CAMH as a leader in brain science using the power of big data analytics, artificial intelligence and machine learning, and multi-scale brain modelling in order to bridge the levels of the structure and function of the brain – from genes to circuits to behavior.

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Tenure Track Faculty Position - Systems and Computational Biology
by Ruben Coen-Cagli April 24, 2019

April 24, 2019

Dear colleagues, our department is recruiting faculty with an emphasis on theoretical, computational and experimental approaches to studying complex biological systems, including computational neuroscience. Details in the ad below. The Albert Einstein College of Medicine, one of the leading medical schools, located in New York City, is seeking to fill multiple tenure track faculty positions in the Department of Systems and Computational Biology. The major goal of the department is to advance our understanding of living systems by developing theoretical, computational and experimental approaches to study complex biological systems. The College has 711 medical students, 160 Ph.D. students and 107 M.D./Ph.D. students, 265 postdoctoral research fellows in training and boasts a strong research faculty covering broad areas of experimental biology. The College of Medicine has more than 1,800 full-time faculty members located on the main campus and at its clinical affiliates. The 200,000 square foot Center for Genetic and Translational Medicine at Einstein locates computational, systems and experimental scientists in physical proximity to foster interdisciplinary communication and collaboration. Highly competitive start-up packages are available. [https://analytics.click2apply.net/v/Y7MBopTB6AyKtRmRu8Xgz] We seek outstanding scientists with broad experience and demonstrated collaborative interactions with experimental or clinical investigators. Candidates should have strength in a physical, mathematical or computational field at the Ph.D. or equivalent level. Experience applying these skills to a biological or biomedical area (demonstrated through publications or support) is also desirable. Areas of interest include, but are not limited to: Modeling cellular processes; Evolutionary medicine; Evolution of structure and function; Biological networks analysis; Microbiome; Computational neuroscience; Mathematical and computational modeling of high-dimensional data related to complex traits. Applicants should send a letter of interest, C.V., statement of research and teaching interests, and names of three referees, in electronic format to: Systems and Computational Biology Search Committee Albert Einstein College of Medicine Jack and Pearl Resnick Campus 1300 Morris Park Ave. Price Center, Rm. 153 Bronx, New York 10461 E-mail Address: SysBio(a)einstein.yu.edu<mailto:SysBio@einstein.yu.edu> Subject line should be: SCB Faculty Search The Albert Einstein College of Medicine 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, age, protected veteran or disabled status, or genetic information. Ruben Coen Cagli, PhD Department of Systems and Computational Biology, and Dominick Purpura Department of Neuroscience Albert Einstein College of Medicine 1300 Morris Park Ave. Price 353B Bronx, 10461. NY office: +1.718.678.1150 web: https://sites.google.com/site/rubencoencagli/

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postdoctoral positions in computational neuroscience at IIT, Italy
by Stefano Panzeri April 24, 2019

April 24, 2019

Two postdoctoral positions will be available at Istituto Italiano di Tecnologia) to work with me (Stefano Panzeri https://www.iit.it/people/stefano-panzeri) in the laboratory of Neural Computation. The laboratory investigates, by developing and using advanced data analysis methods and neural network models, how circuits of neurons in the brain encode information and use it to produce appropriate behaviors. The positions on offer would leave the candidate the choice of developing a research project of mutual interest within this research area. The laboratory offers a wide range of interdisciplinary expertise in computational neuroscience, including both advanced neural analysis techniques and neural network modeling. The laboratory also offers a thriving, ambitious research environment which is well funded (including several grants from the NIH Brain Initiative). Moreover, the laboratory offers extensive long-term international collaborations with empirical neuroscience laboratories (including Chris Harvey at Harvard Medical School, Wei Lee at Children’s Hospital, Christoph Kayser at Bielefeld, Nikos Logothetis at Tuebingen, Mathew Diamond at SISSA, Tommaso Fellin and Cristina Becchio at the IIT, Alex Thiele at Newcastle) and ample opportunities for advanced training and personal scientific growth. I seek candidates holding a PhD in a numerate or neuroscientific discipline, with a solid computational background and a keen interest in neuroscience. 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. The successful candidate will have the opportunity to conduct research at the IIT center in Rovereto (Italy), or at the IIT headquarters in Genova, (Italy). For representative recent publications from my 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 Further information about my research can be found at my IIT and Google Scholar web pages: https://www.iit.it/people/stefano-panzeri https://scholar.google.it/citations?user=C-HCQ9cAAAAJ&hl=en Applications (full CV, statement of research interest and name and contact of 2 referees) should be sent by e-mail to stefano.panzeri(a)iit.it, quoting “Postdoctoral position in Computational Neuroscience” in the subject line. The deadline for applications is May 18th, 2019. Applications will be examined until the position is filled. Interested applicants are advised to contact me by email informally as soon as possible to discuss about the science and the position informally. Thanks Stefano Panzeri

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First Call for Papers: Neurodegeneration and Language - Special Session on Language Disorders
by Dimitrios Kokkinakis April 24, 2019

April 24, 2019

*Call for Papers [apologies for x-posting]* *Neurodegeneration and Language - Special Session on Language Disorders* *Special session date*: September 27th, 2019 Lisbon, Portugal, co-located with ExLing-2019 *Website*: https://spraakbanken.gu.se/eng/neural-2019 *Submissions*: https://exlingworkshop.com/exling-2019/special-sessions-2019.html *Deadline of extended abstract submission**: *July 1st, 2019 *Contact**:* dimitrios _DOT_ kokkinakis _AT_ gu _DOT_ se *NEURodegeneration And Language (NEURAL 2019)* is a special session on language disorders which will take place in the context of *ExLing 2019 <https://www.exlingworkshop.com/>* in Lisbon, Portugal, 27 September 2019, under the auspices of *Centro de Linguística da Universidade de Lisboa.* The *NEURAL 2019* special session aims to advance our knowledge on language disorders and the development of experimental methods for the analysis and processing of speech and language. Special emphasis is put on interdisciplinary approaches among different research areas, including computational linguistics (CL), (cognitively inspired) natural language processing (NLP), speech acoustics, and also other related areas and modalities, including wearable, vision, and ambient sensor technologies . The special session programme will contain a combination of oral and poster papers on main areas of language disorders. Furthermore, attendees will have opportunities of free discussions among *NEURAL 2019* as well as *ExLing 2019 <https://www.exlingworkshop.com/>* participants. Submission of 4-page papers related to the above aims of the special session *NEURAL 2019* are welcome at <https://www.exlingworkshop.com/exling-2019/submissions-2019.html> https://www.exlingworkshop.com/exling-2019/special-sessions-2019.html

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DeepMath 2019 Call for Contributions
by Ahmed El Hady April 21, 2019

April 21, 2019

*ANNOUNCEMENT AND CALL FOR CONTRIBUTIONS* ** * The 2019 Conference on Mathematical Theory of Deep Neural Networks (DeepMath 2019) Princeton Club, New York City, Oct 31-Nov 1 2019. Web: https://www.deepmath-conference.com/ ======= Important Dates ======= Submission deadline for 1-page abstracts: June 28, 2019 Notification: TBA. Conference: Oct 31-Nov 1 2019. ======= Confirmed speakers ======= Anima Anandkumar (CalTech), Yasaman Bahri (Google), Minmin Chen (Google), Michael Elad (Technion), Surya Ganguli (Stanford), Tomaso Poggio (MIT), David Schwab (CUNY), Shai Shalev-Shwartz (Hebrew University), Haim Sompolinsky (Hebrew University and Harvard), and Naftali Tishby (Hebrew University). ======= Workshop topic ======= Recent advances in deep neural networks (DNNs), combined with open, easily-accessible implementations, have made DNNs a powerful, versatile method used widely in both machine learning and neuroscience. These advances in practical results, however, have far outpaced a formal understanding of these networks and their training. Recently, long-past-due theoretical results have begun to emerge, shedding light on the properties of large, adaptive, distributed learning architectures. Following the success of the 2018 IAS-Princeton joint symposium on the same topic (https://sites.google.com/site/princetondeepmath/home) the 2019 meeting is more centrally located and broader in scope, but remains focused on rigorous theoretical understanding of deep neural networks. ======= Call for abstracts ======= In addition to these high-profile invited speakers, we invite 1-page non-archival abstract submissions. Abstracts will be reviewed double-blind and presented as posters. To complement the wealth of conferences focused on applications, all submissions for DeepMath 2019 must target theoretical and mechanistic understanding of the underlying properties of neural networks. Insights may come from any discipline and we encourage submissions from researchers working in computer science, engineering, mathematics, neuroscience, physics, psychology, statistics, or related fields. Topics may address any area of deep learning theory, including architectures, computation, expressivity, generalization, optimization, representations, and may apply to any or all network types including fully connected, recurrent, convolutional, randomly connected, or other network topologies. Committee Information: Organizing committee: * Ahmed El Hady * Adam Charles * Mikio Aoi * Andrew Saxe * Joan Bruna * Michael Shvartsman * Sebastian Musslick * Stephen Keeley Advisory committee * Jonathan Cohen * Daniel Lee * Sebastian Seung * Ted Willke Local Committee * NYU: Joan Bruna * Columbia: Ashok Kumar * SUNY Stonybrook: Il Memming Park * Yale: Gal Mishne * City College: David Schwab * IAS: Nadav Cohen *

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Summer School in Computational and Theoretical Models in Neuroscience, Venice, Italy (September 9th - September 14th, 2019)
by Samir Suweis April 19, 2019

April 19, 2019

ConTaMiNEURO 2019 Summer school ,Venice, Italy (September 9th - September 14th, 2019) I would like to bring to your attention to the Summer School in Computational and Theoretical Models in Neuroscience, ConTaMiNEURO 2019 <http://neuroschool19.liphlab.com/> Approaches and techniques from Physics, Mathematics and Computational Science are increasingly becoming critical for understanding and modelling the brain, and also for designing and interpreting experiments. Modeling is an essential tool to cut through the vast complexity of neurobiological systems and their many interacting elements. ConTaMiNEURO 2019 <http://neuroschool19.liphlab.com/> wants to convey central ideas, methods, and practices of modern computational neuroscience through a combination of lectures, tutorials and seminars. During the course’s mornings, distinguished international faculty deliver lectures and seminars on selected topics in computational neuroscience (see below). For the remainder of the time, students work on research projects in teams of 3-4 people under close supervision of expert tutors and faculty. Research projects will include data analyses and the development of theories to explain experimental observations. The School is will take place from 9 to 14 September at palazzo Morelli of the University Ca’Foscari, in the heart of Venice. All the details can be found at the school website: http://neuroschool19.liphlab.com/ <http://neuroschool19.liphlab.com/> Thanks to the support of our sponsor, in particular the University of Padova and the newborn Padova Neuroscience Center (PNC <http://pnc.unipd.it/>), the early bird registration fee for Ph.Ds students and Post Docs is 200 Euro, deadline is 30 June 2019. MAX 40 participants. ConTaMiNEURO 2019 <http://neuroschool19.liphlab.com/> is co-organized by Samir Suweis, Amos Maritan, Maurizio Corbetta, Marco Formentin, Stefano Vassanelli (University of Padova), Achille Giacometti (University of Venice) and Miguel A. Munoz (University of Granada). Invited Speakers Ken Miller, Columbia University, USA. Yiota Poirazi, IMBB-FORTH, Creta. Nicolas Brunel*, Duke University, USA. Andrea Brovelli, University of Marsille. Jordi Soriano, University of Barcellona Mazzuccato Luca, Columbia University & University of Oregon Stefano Panzeri, IIT Rovereto Jesus Cortes, IKERBASQUE: The Basque Foundation for Science Lucilla De Arcangelis, University of Naples Raffaella Burioni, University of Parma Gustavo Deco, Pompeu Fabra University, Barcelona Jonathan Touboul, Brandeis University (USA) Susanne Ditlevsen, University of Copenaghen Alessandro Treves, Trieste SISSA Misha Tsodyks, Weizmann Institute of Science Marco Zorzi, University of Padova Lamberto Ballan, University of Padova Eleni Vasilaki, University of Shieffield Marcello Pelillo, European Center of Living Techonology & University of Venice Tommaso Fellin, IIT Genova Maria Victoria Sánchez Vives , ICREA-IDIBAPS (Barcelona) Marco dal Maschio, University of Padova Serena del Santo, University of Granada Lorenzo Fontolan, Janelia Farm Samir Suweis, Ph.D. ***** LIPh Lab, Physics & Astronomy Dept. University of Padova Tel: +39 049 827 71 74 @SamirSuweis

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Postdoc in large-scale brain modeling and machine learning
by Jan Fousek April 18, 2019

April 18, 2019

A postdoc position is available at the Institut de Neurosciences des Systèmes (http://ins-amu.fr/) Aix-Marseille University, France. Summary The Theoretical Neuroscience Group (Head: Viktor Jirsa) is seeking to fill a post-doctoral position in the context of the project Virtual Brain Cloud to work on development of parameter inference workflows for connectome-based large-scale brain network models (see The Virtual Brain http://www.thevirtualbrain.org) applied to brain imaging data (EEG, MEG, fMRI). In particular, the project will involve the application and evaluation of common Bayesian estimation techniques such as Markov-Chain Monte-Carlo and variational schemes to high-dimensional time-series models of brain activity. These were previously successfully applied in the context of estimation of brain excitability based on personalized brain models and intracerebral electrophysiological recordings of seizure propagation in epileptic patients. The successful candidate will join a team working towards generalizing these approaches for other paradigms such as stimulation or resting state. Qualification Candidates should be have strong background in data fitting (Bayesian inference approaches, Dynamical Causal Modeling (DCM), Monte Carlo techniques). Experience with computational neuroscience (networks, dynamic system theory) and ability to program in a numerically oriented language (R, Python, MATLAB) are valued. 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 The position is initially for one year, renewable on an annual basis based on performance. Salary will depend on diploma and experience. Operating language in the laboratory is English and French. CONTACT viktor.jirsa(a)univ-amu.fr | Institut de Neurosciences des Systèmes https://ins-amu.fr/ -- Jan Fousek INS - Institut de Neurosciences des Systèmes UMR INSERM 1106, Aix-Marseille Université 27 Bd Jean Moulin, 13005 Marseille https://ins-amu.fr/

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PhD position - Inverse Reinforcement Learning
by Constantin Rothkopf April 18, 2019

April 18, 2019

The Centre for Cognitive Science at Technische Universitaet Darmstadt, Germany invites applications for a Ph.D. Position in Inverse Reinforcement Learning initially limited to a period of three years. Research area The Ph.D. student is expected to work in the domain of inverse reinforcement learning with the particular focus of elucidating human decision making and collective human decision making in the wild, i.e., under real world noisy conditions. The research project is a joint venture between the Bioinspired Communication Lab and the Psychology of Information Processing Lab, both members of the Centre of Cognitive Science at TU Darmstadt. Accordingly, the student will be advised by Prof. Heinz Koeppl, Department of Electrical Engineering and Prof. Constantin Rothkopf, Department of Psychology. Work will involve methodological research in machine learning, design of dedicated human behavioral experiments, and the analysis and further processing of gathered data. What we offer We offer a unique interdisciplinary environment to perform cutting-edge research at one of Germany’s leading universities in the domain of computer science and engineering. The student will be embedded in the ongoing research activities within the Centre for Cognitive Science and will hence have the opportunity to interact with many other cognitive science researchers. The conducted research is expected to culminate in a Ph.D. degree. We offer comprehensive support for dissemination of results through leading scientific journals and through participation in leading international conferences and workshops. Your profile Candidates should have a M.Sc. degree in one of the following fields: computer science, physics, mathematics, engineering, or cognitive science. Candidates are required to have a sincere interest in interdisciplinary research at the crossroad of psychology and computer science. Application We look forward to receiving your application, consisting of a cover letter in which you lay out your interest in the indicated research area, curriculum vitae, copies of certificates and contact details of at least two academic references. Please send your application package as a single PDF file to application(a)bcs.tu-darmstadt.de. Code No. 590. The position is initially advertised till May 3rd 2019, but later applications will be considered until the position is filled. -- Constantin A. Rothkopf, PhD http://www.pip.tu-darmstadt.de/ http://www.cogsci.tu-darmstadt.de/ http://www.ai-da.tu-darmstadt.de/

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