- Comp-neuro - lists.cnsorg.org

Workshop: Spike Sorting and Reproducibility for Next Generation Electrophysiology
by Matthias Hennig 16 May '19

16 May '19

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 16 May '19

16 May '19

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 14 May '19

14 May '19

** * ******************************************* ** * 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 14 May '19

14 May '19

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 14 May '19

14 May '19

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) 14 May '19

14 May '19

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 13 May '19

13 May '19

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 12 May '19

12 May '19

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 12 May '19

12 May '19

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 10 May '19

10 May '19

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 10 May '19

10 May '19

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 09 May '19

09 May '19

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 08 May '19

08 May '19

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 08 May '19

08 May '19

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 08 May '19

08 May '19

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 08 May '19

08 May '19

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 08 May '19

08 May '19

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 07 May '19

07 May '19

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 07 May '19

07 May '19

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 06 May '19

06 May '19

*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 05 May '19

05 May '19

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 05 May '19

05 May '19

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 03 May '19

03 May '19

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 03 May '19

03 May '19

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 02 May '19

02 May '19

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 02 May '19

02 May '19

*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 02 May '19

02 May '19

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 01 May '19

01 May '19

*/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 01 May '19

01 May '19

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 01 May '19

01 May '19

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 30 Apr '19

30 Apr '19

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 30 Apr '19

30 Apr '19

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 30 Apr '19

30 Apr '19

”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 29 Apr '19

29 Apr '19

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 28 Apr '19

28 Apr '19

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 27 Apr '19

27 Apr '19

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 27 Apr '19

27 Apr '19

*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. 27 Apr '19

27 Apr '19

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 26 Apr '19

26 Apr '19

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 24 Apr '19

24 Apr '19

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 24 Apr '19

24 Apr '19

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 24 Apr '19

24 Apr '19

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 24 Apr '19

24 Apr '19

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 24 Apr '19

24 Apr '19

*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 21 Apr '19

21 Apr '19

*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 19 Apr '19

19 Apr '19

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 18 Apr '19

18 Apr '19

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 18 Apr '19

18 Apr '19

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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Postdoctoral position in multivariate connectivity and computational modeling in fMRI
by Joshua Hartshorne 18 Apr '19

18 Apr '19

Second Call. Wanted: Post-doctoral fellow interested in delving into new computational techniques for fMRI analysis. This position is ideal for students with a background in neuroimaging who want to strengthen their technical skills in preparation for a job market that increasingly values advanced analysis methods, or for students with a background in machine learning who want to branch into neuroscience. This Simons Foundation-funded research project will be focused on developing, evaluating, and deploying state-of-the-art multivariate connectivity techniques and other modeling approaches. The initial application will be to a large Autism dataset, and may grow from there depending on progress. The postdoc will work closely with the PIs: Prof. Stefano Anzellotti and Prof. Joshua Hartshorne (Department of Psychology, Boston College). Both PIs run young, small labs, so the post-doc can expect individualized attention and training. Boston College is a research university classified as "Very High Research Activity (R1)" by the Carnegie Classification, and has a bustling Psychology and Neuroscience department with 19 faculty. Graduate students and post-docs in the department regularly go on to prestigious academic appointments (e.g., see https://bit.ly/2PdvK3N) You can learn more about Drs. Anzellotti and Hartshorne at sccnlab.bc.edu and l3atbc.org, respectively. Preferred start date is between June 1 2019 and Jan. 1 2020. Boston College is an Equal Opportunity Employer. Candidates from backgrounds underrepresented in psychology/neuroscience are particularly encouraged to apply. The position is funded for two years and may be renewable beyond the second year depending on funding. Salary follows the NIH Postdoc scale. Boston College is an Equal Opportunity Employer. Candidates from backgrounds underrepresented in psychology/neuroscience are particular encouraged to apply. To apply, submit a CV, contact information for 2-3 references, and a cover letter highlighting relevant research experiences and interests directly to jkhartshorne(a)gmail.com. Review of application is ongoing and will continue until the position is filled.

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Dopaminergic Signaling Workshop at OCNS meeting in Barcelona July 16-17
by Canavier, Carmen C. 17 Apr '19

17 Apr '19

CNS*2019 Twenty Eighth Annual Computational Neuroscience Meeting Universitat de Barcelona, Barcelona, Spain. Jul. 16 - 17, 2019 Workshop Title: Dopaminergic Signaling Workshop Organizer: Carmen Canavier, LSU Health Science Center New Orleans, ccanav(a)lsuhsc.edu Brief Description: This workshop will examine dopaminergic signaling from the perspective of the regulation of afferent inputs to dopamine neurons, to plasticity of afferent synapses onto dopamine neurons, to the dynamic diversity of dopamine neuron subpopulations, to plasticity and other forms of dopaminergic signaling in projection areas such as the striatum and prefrontal cortex, with reference to depression, schizophrenia, Parkinson's and addiction. This work is timely in that the diversity of dopaminergic populations is beginning to be appreciated and significant because of the cognitive, motor and motivational functional circuits that rely on dopaminergic signaling. https://www.cnsorg.org/cns-2019 Speakers: Joshua Berke Dissociable dopamine dynamics for learning and motivation UCSF Avrama Blackwell TBA George Mason University Carmen Canavier Dynamics of distinct subpopulations of dopamine neurons LSU Health Science Center Kenji Doya State, value and action coding in the striatum Okinawa Institute of Science and Technology Daniel Durstewitz Inferring nonlinear dynamics from fMRI recordings in schizophrenia University of Heidelberg Arif Hamid Wave-like spatio-temporal patterns organize dopamine Brown University transients into compartmentalized decision-signals Laurent Venance Dopamine-endocannabinoid interactions mediate bidirectional spike Collège de France timing dependent plasticity in the striatum Martin Vinck TBA Ernst Struengmann Institute for Neuroscience Jeff Wickens Timing of dopamine directs synaptic plasticity Okinawa Institute of Science and Technology Denis Zakharov Role of VTA GABAergic neurons in high-frequency firing of dopaminergic neuron Higher School of Economics (Moscow) Larry Zweifel TBA University of Washington

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Postdoc positions on decision-making in Hamburg
by Bharath Chandra Talluri 17 Apr '19

17 Apr '19

***** Posting on behalf of Dr. Konstantinos Tsetsos ******* The University Medical Center Hamburg-Eppendorf (UKE, Hamburg, Germany) is inviting highly qualified and motivated candidates to apply for two 3-year postdoctoral positions embedded in the recently established “Decision Neuroscience Group” at the Department of Neurophysiology and Pathophysiology, led by Konstantinos Tsetsos. These positions are part of the European Research Council (ERC) Starting Grant “Information Sampling in Multiattribute Choice” (INFOSAMPLE) awarded to Konstantinos Tsetsos. This project will utilise tools from sensory neuroscience in order to characterise how humans distribute their attention across time during multiattribute decisions. Using this approach we aspire to understand why humans reverse their preferences irrationally, when irrelevant alternatives are added to the choice-set. The postdoctoral researchers will be involved in designing and conducting psychophysical experiments using MEG and pharmacology, in analysing MEG data, and in working with computational models of attention & decision-making. A sufficiently strong quantitative background is required for both positions. Experience with ICA, source reconstruction, frequency tagging (SSVEP) and decoding techniques is desirable. Lack of exposure to these techniques can be compensated with experience in attention/ visual search or decision-making research. The positions are available for three years and may start on the 01.06.2019 or the soonest possible after that date. The positions will be remunerated at salary level E13 TV-KAH, 100%. Applicants should send their CV and publication list, a brief statement of research interests as well as the names of two referees to Dr Konstantinos Tsetsos (k.tsetsos(a)uke.de <mailto:k.tsetsos@uke.de>) until the 10th of May, 2019. Informal inquiries about the positions can also be addressed to K. Tsetsos. Shortlisted candidates will be invited for an interview. Information about the lab: https://www.ktsetsoslab.net <https://www.ktsetsoslab.net/> Further details as well as information on how to apply: https://bit.ly/2XXWlWD <https://bit.ly/2XXWlWD> On behalf of Konstantinos Tsetsos, Bharath Talluri. -- Bharath Chandra Talluri, MSc PhD Student, Cognitive Neuroscience Department of Neurophysiology and Pathophysiology University Medical Centre, Hamburg-Eppendorf Hamburg, Germany @BharathTalluri <https://twitter.com/BharathTalluri> https://bharathtalluri.info/ <https://bharathtalluri.info/>

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Summer internship. Role of the thalamus in sleep oscillatory dynamics underlying memory consolidation
by Carmen Varela 16 Apr '19

16 Apr '19

*Paid Summer Research Internship in Systems Neuroscience* *(MIT, FAU)* We are looking for a talented student that will apply analytical techniques to investigate the role of the thalamus in the oscillatory dynamics that organize the consolidation of episodic memory during sleep. The project will involve the analysis of neural data (single cells, local field potentials) from extracellular recordings in sleeping rats. *Requirements:* Outstanding interpersonal and communication skills, demonstrated initiative and dedication, ability to learn fast. Strong analytical skills, including signal processing and programming. EECS, Physics, Computational Neuroscience students encouraged to apply. *What you get: * · Two months of research in systems neuroscience, including the application of analytical techniques to extracellular electrophysiology data. · Spend this summer in the Jupiter campus of Florida Atlantic University, an expanding and interactive neuroscience hub that also holds our partners the Max Planck Florida Institute for Neuroscience and Scripps Research Institute. · Possibility of visiting MIT in August to present results from your work. *Contact:* Submit resume and a brief paragraph commenting on how your skills and background could be helpful to this neuroscience project. Let Dr. Carmen Varela know when you would be available for an interview. varelac(a)fau.edu https://www.thethalamus.org/

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Athens International MSc in Neurosciences -- now accepting 2019-20 applications
by Vassilis Cutsuridis 16 Apr '19

16 Apr '19

Apologies for cross-posting – please forward to any interested party. / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / *Applications for the 2019-20 MSc programme in* *Athens International Master's in Neurosciences <http://mastermeuroscience.biol.uoa.gr>* *at National and Kapodistian University of Athens, Greece* *are now OPEN.* / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / This cutting-edge Masters programme is a combined effort of several Athens-based departments and research centers including the - Department of Biology of the National and Kapodistrian University of Athens - Department of Nursing of the National and Kapodistrian University of Athens - Department of Dentistry of the National and Kapodistrian University of Athens - School of Medicine of the National and Kapodistrian University of Athens - Foundation for Biomedical Research of the Academy of Athens - National Center for Scientific Research "Demokritos" - Hellenic Pasteur Institute - Biomedical Sciences Research Center “Alexander Fleming” which builds on the multi-disciplinary research profiles of its staff. Teaching and research staff includes Greek and International professors and researchers of Greek and International Universities and Research Centers. *All lectures are taught in English*. The programme equips students with a rigorous grounding in experimental and computational methods of neurosciences; it also provides them with the opportunity to apply the knowledge they acquired in a practical research project, which may be carried out in collaboration with one of the Masters programme’s industry partners. ** COURSE OUTLINE ** ————————— This is a two-year MSc degree programme, consisting of taught modules (12 months) plus research project and dissertation (12 months). It is designed for students with a good degree in the biological / life sciences (psychology, neuroscience, biology, medicine, etc.) or physical sciences (computer science, mathematics, physics, engineering) interested in how the brain and mind works. The core contents of this programme include (i) fundamentals of experimental neurosciences (developmental neuroscience, cellular and molecular neuroscience, neuroanatomy, neurobiological bases of diseases of the nervous system, neuropharmacology, neuroimmunology, neuroendocrinology. behavioral neuroscience, electrophysiology, neuroimaging), (ii) Lab rotations, and (iii) concepts,methods of computational modelling, data analytics and machine learning. Unlike other standard neuroscience programmes (focusing predominantly either on “low-level” or "high-level" aspects of neuroscience), one of the distinctive features of this programme is that it covers the whole spectrum of the neurosciences bridging the gap between molecular and cellular neuroscience to high-level cognitive processes (e.g., language, attention, and decision making) including computational neuroscience and big data analytics. The final research project and dissertation is carried out in collaboration with an external partner, either from academia or industry. ** WHY STUDY IN ATHENS ** -------------------------------------- Aside from mastering neuroscience, you can also enjoy the largest open-air museum during its mostly sunny and dry days. These include Acropolis and Parthenon, the Odeon of Herodes Atticus, the Arch of Hadrian, the Theatre of Dionysus, Panathenaic Stadium-Kallimarmaro, the iconic Temple of Olympian Zeus, pedestrian avenue of Dionysios Areopagitou, Pnyx Hill, Thiseio, Monastiraki, Plaka and etc, that are full of temples and ancient and Byzantine monuments. In addition, Athens has great museums incunding the Acropolis meuseum, the National Archaeological museum, the museum of Modern Art, the museum of Greek Folk Art and of Greek Folk Musical Instruments, the War Museum, the Benaki Museum, the Museum of Cycladic Art, the National Gallery, and others. You will also have the opportunity to enjoy excellent nature and coast line and the easily reached Aegean islands. ** TUITION FEES ** ————————— *F**ull time EU students*: 2000 Euros per year *Full time non-EU students*: 3000 Euros per year *Part time students*: 500 Euros per semester during the first two years and 1000 Euros per semester during the third year. ** HOW TO APPLY ** ————————— *Applications for the 2019-20 and 2020-21 Academic Years are now open. * To fill in an application, click on this link and follow the instructions: http://masterneuroscience.biol.uoa.gr/admissions.html <https://bit.ly/2Fi86SB> *NOTE: places are limited.* We recommend submitting an application as soon as possible to ensure a place on the programme. For any further information about the programme, please visit: *http://mastermeuroscience.biol.uoa.gr* <https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/> Should you have any questions, please do not hesitate to contact me. I look forward to receiving your application soon! With very best wishes, Professor Spiros Efthimiopoulos ( <M.Garagnani(a)gold.ac.uk>efthis(a)biol.uoa.gr ) — Spiros Efthimiopoulos Professor Director of the Master's Programm: "Athens International Master's Programme in Neurosciences" University of Athens Department of Biology Division of Animal and Human Physiology Central Building, 3nd Floor, Room 38 or 44 157 84 Panepistimiopolis, Ilisia Athens, Greece Tel# ++ 30 210 7274890, ++306974874328 Fax# ++ 30 210 7274635 E-mail: efthis(a)biol.uoa.gr / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / /

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Job opening: Visiting Professorship in Machine Learning at Jacobs University
by Herbert Jaeger 16 Apr '19

16 Apr '19

Jacobs University Bremen (www.jacobs-university.de) invites applications for a *** 3-year Visiting Professorship in Machine Learning *** The full job description can be found at https://www.jacobs-university.de/visiting-professor-computer-science-mfd-ma… Jacobs University is a small, select, private, research-oriented, English-speaking university with a beautiful campus located at the outskirts of Bremen, a charming old trading seaport in the north of Germany. In the Times Higher Education (THE) worldwide university ranking 2018, Jacobs University ranked in the top 300 in the general ranking, in the 151-175 bracket in Engineering and Technology and in the 176-200 bracket in the Life Sciences. The review of applications will begin immediately and will continue until the position is filled. Ideally, a successful candidate can start on this position in August 2019. - Herbert Jaeger ------------------------------------------------------------------ Dr. Herbert Jaeger Professor for Computational Science Jacobs University Bremen gGmbH Campus Ring 28759 Bremen, Germany Phone (+49) 421 200 3215 email h.jaeger(a)jacobs-university.de http://minds.jacobs-university.de ------------------------------------------------------------------

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[meetings] CfP: Workshop on Naturalistic Non-Verbal and Affective Human-Robot Interactions, IEEE ICDL-EpiRob 2019
by Nicolás Navarro-Guerrero 15 Apr '19

15 Apr '19

Apologies for cross-posting. Dear Colleagues, We would like to cordially invite you to submit a paper to the ICDL-EpiRob 2019 workshop on Naturalistic Non-Verbal and Affective Human-Robot Interactions. Call for Contributions and Participation IEEE ICDL-EpiRob workshop on Naturalistic Non-Verbal and Affective Human-Robot Interactions 19th August 2019, Oslo, Norway Website: https://nicolas-navarro-guerrero.gitlab.io/workshop-non-verbal-human-robot-… Humans continually manifest non-verbal and affective cues and expressions used to foster cooperation, mutual understanding and signal trustworthiness. If these cues are not appropriately reciprocated, however, the interaction can be negatively impacted. Moreover, inappropriate reciprocation, or lack thereof, may be the result of misperception and or non-timely reactions. Failure to adequately account for biologically plausible perceptual and temporal facets of interactions may detract from the quality of human-robot interaction and hinder progress in the field of social robotics more generally. Incorporation of naturalistic and adaptive forms of sensorimotor and affective human-robot non-verbal communication is challenging because such interaction is highly dependent on the context and the relationship between the observer and the expresser. Biological species based interaction often requires explicit forms of social signalling such as nodding, nonverbal gestures, emotional expressions, etc., the interpretation of all of which may be highly context-sensitive. Furthermore, naturalistic social signalling may involve a certain degree of mimicry of autonomic responses such as pupil dilation, blinking, blushing, etc. which, in human-robot interaction requires the implementation of time-sensitive perceptual mechanisms currently underused in both commercial and research robotics platforms. In this workshop, we will investigate and discuss to what extent the aforementioned naturalistic social signalling capabilities needs to be accounted for in human-robot interaction and what modalities are more relevant, and in what contexts. The workshop will focus strongly on research motivated by naturalistic empirical data. We hope to provide a discussion friendly environment to connect with research covering complementary interests in the areas of robotics, computer science, psychology, neuroscience, affective computing and animal learning research. The primary list of topics covers the following (but not limited to): * Emotion recognition * Gesture recognition * Social gaze recognition * The development of expression and recognition capabilities * Joint visual attention and activity * Alignment in social interactions * Non-verbal cues in human-robot interaction Invited Speakers Christian Balkenius, Lund University, Sweden Vicky Charisi, Joint Research Centre, European Commission Kerstin Dautenhahn, University of Waterloo, Canada Frank Foerster, University of Hertfordshire, UK Stefanie Höhl, University of Vienna, Austria Yukie Nagai, University of Tokyo, Japan Alessandra Sciutti, Istituto Italiano di Tecnologia, Italy Important Dates Paper submission deadline: 12th May 2019 Notification of acceptance: 7th June 2019 Camera-ready version: 1st August 2019 Workshop: 19th August 2019 Participants are invited to submit short papers (max. 4 pages) following the standard IEEE conference template, link at the workshop webpage. Send your PDF manuscript indicating [ICDL-EPIROB 2019] in the subject to: nng(a)ieee.org . Selected contributions will be presented during the workshop. Organizers Nicolás Navarro-Guerrero, Aarhus University, Aarhus, Denmark Robert Lowe, University of Gothenburg, Sweden Best regards, Nicolás -- Nicolás Navarro-Guerrero Assistant Professor Department of Engineering, and School of Culture and Society Aarhus University, Denmark E-mail: nng(a)eng.au.dk https://nicolas-navarro-guerrero.github.io/ https://socialrobotics.au.dk/ Aarhus University Finlandsgade 22, building 5125 8200 Aarhus N Denmark Tel.: +45 8715 0000 eng(a)au.dk www.eng.au.dk/en/

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Fourth International Workshop on Intrinsically-Motivated Open-endedLearning (IMOL2019)
by Jochen Triesch 15 Apr '19

15 Apr '19

Dear Colleagues, We are pleased to announce the “Fourth International Workshop on Intrinsically-Motivated Open-endedLearning (IMOL2019)”, which will be held at Frankfurt Institute for Advanced Studies (FIAS) in Frankfurt (Germany) on 1-2-3 July 2019. The organizers of IMOL 2019 will be - Vieri Giuliano Santucci (ISTC – CNR, Rome) - Kathryn Merrick (University of New South Wales, Canberra) - Jochen Triesch (FIAS, Frankfurt) - Gianluca Baldassarre (ISTC – CNR, Rome) Following three previous editions, the highly focused “Fourth International Workshop on Intrinsically-Motivated Open-ended Learning (IMOL2019)” aims to further explore the promise of intrinsically motivated open-ended lifelong learning. The workshop aims to be a highly interactive event with high-profile keynote presentations (see list of confirmed invited speakers at the end of this message). It will foster close interaction among the participants by discussions, poster sessions, and collective round tables directed toward specific objectives. Participation in the workshop is free of charge but limited to a restricted number of participants. Prospective attendees should express their interest by submitting a brief statement on their motivations to participate, their research interests, and their willingness (or not) to contribute with a poster. The submission should be made by following the instructions at http://www.imol-conf.org/ before the deadline of May, 17th. Both senior and early career researchers, including PhD students, are encouraged to submit to ensure a full representation of the community. Topics of interest involve open-ended lifelong learning in autonomous agents and robots, for example: - Autonomous robots lifelong learning - Multi-task reinforcement learning - Deep reinforcement learning - Intrinsic motivations - Curriculum learning - Goal self-generation - Multiple task solution and parameterized skills - Neural/probabilistic representations and abstractions - Architectures for open-ended learning - Goal-based skill learning - Knowledge transfer and avoidance of catastrophic forgetting - Compositionality and chunking - Hierarchies of goals and skills - Mitigating risks of real-world deployment of open-ended learning systems List of confirmed invited speakers - Luc Berthouze - Marc Bellemare - Bruno Castro da Silva - Stephane Doncieux - Kenji Doya - Richard Duro - Verena Hafner - Matej Hoffman - Petar Kormushev - Georg Martius - Yukie Nagai - Nicolás Navarro-Guerrero - Kevin O'Regan - Matthias Rolf - Elmar Rueckert - Bertram E. Shi - Olivier Sigaud - Jochen Steil - Freek Stulp - Céline Teulière - Emre Ugur (more TBC) -- Prof. Dr. Jochen Triesch Johanna Quandt Research Professor Frankfurt Institute for Advanced Studies http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

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CFP: The 2nd International Workshop on Machine Learning in Clinical Neuroimaging (MLCN 2019): ENTERING THE ERA OF BIG DATA VIA TRANSFER LEARNING AND DATA HARMONIZATION
by MLCN Workshop 15 Apr '19

15 Apr '19

Dear Colleagues, We are delighted to invite you to join us for the MLCN 2019 <https://mlcnws.com/> workshop as a satellite event of the MICCAI 2019 conference, Shenzhen, China. Call for Papers Recent advances in neuroimaging and machine learning provide an exceptional opportunity for investigators and physicians to discover complex relationships between brain, behaviors, and mental and neurological disorders. The MLCN 2019 workshop (https://mlcnws.com) as a satellite event of MICCAI 2019 (https://www.miccai2019.org) aims to bring together researchers in both theory and application from various fields in domains such as *e.g.* machine learning, neuroimaging, predictive clinical neuroscience, *etc.* Topics of interests include, but are not limited to: - Transfer learning in clinical neuroimaging - Model stability in transfer learning - Data prerequisites for successful transfer learning - Domain adaptation in neuroimaging - Data harmonization across sites - Data pooling – practical issues - Cross-domain learning in neuroimaging - Interpretability for transfer learning - Unsupervised methods for domain adaptation - Multi-site data analysis, from preprocessing to modeling - Big data in clinical neuroimaging - Scalable machine learning methods - Benefits, problems, and solutions of working with very large datasets SUBMISSION PROCESS: The workshop seeks high quality, original, and unpublished work on algorithms, theory, and applications of machine learning in clinical neuroimaging related to big data, transfer learning, and data harmonization. Papers should be submitted electronically in Springer Lecture Notes in Computer Science (LCNS) style ( https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…) with up to 8-pages and using the CMT system at https://cmt3.research.microsoft.com/MLCN2019. The MLCN workshop uses a double-blind review process in the evaluation phase, thus authors must ensure anonymous submissions. Accepted papers will be published in a joint proceeding with the MICCAI 2019 conference. IMPORTANT DATES: - Paper submission deadline: July 1, 2019 (23:59 PST) - Notification of Acceptance: August 5, 2019 - Camera-ready Submission: August 12, 2019 - Workshop Date: October 13, 2019 Best regards, MLCN 2019 Organizing Committee <https://mlcnws.com/organization/>, Email: mlcnworkshop(a)gmail.com Website: https://mlcnws.com/ <https://mlcn2018.com/> twitter: @MLCNworkshop <https://twitter.com/MLCNworkshop>

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post-doctoral positions: Neuroscience and Philosophy of Free Will
by Schurger Lab 13 Apr '19

13 Apr '19

The post-doctoral positions will be part of a large international project on the neuroscience and philosophy of free will, where some 20 neuroscientists and philosophers will collaborate to explore the neural basis of volition, using experimental, theoretical and computational approaches. Please see here for details: https://braininstitute.us/static-media/uploads/freewill_postdoc_2019.pdf

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Computational Neuroscience Modeler for Neurodegeneration Quantitative Systems Pharmacology Project at Certara
by Hugo-Geerts＠In-Silico-Biosciences.com 13 Apr '19

13 Apr '19

Closing Date for Applications: Midnight (UK time), May 12, 2019 Line of Management: Senior Vice President QSP Position Type: Full Time Salary and benefits: Dependent on qualifications, experience and location Location: QSP offices in Sheffield or Canterbury (United Kingdom). Alternative locations and flexible working arrangements can be considered depending on individual circumstances. Job Overview: Certara is expanding its Quantitative Systems Pharmacology (QSP) services in Neurodegeneration and has bold ambitions to revolutionise drug discovery and development in this area of highest medical and societal need. As a result, we have an immediate opening for a Computational Neuroscience Modeller to join our QSP group. This is a unique opportunity to work in a multi-disciplinary team in a world-class organisation and utilise your advanced computational skills to make a difference to the lives of patients with neurodegenerative diseases. Successful applicants will contribute to the development of multi-scale QSP models for neurodegenerative diseases, such as Alzheimer's and Parkinson's disease. Specifically, they will develop biophysically realistic neuronal circuit-level computer models, linking pathways, pharmacological effect and clinical outcomes. Requirements: Essential * PhD and at least 2 years postdoctoral experience in computational biosciences * Strong publication record (commensurate with level of experience) * Experience in computational neuroscience and neural modelling with NEURON or equivalent software * Excellent programming skills * Good written and oral communication skills * Combines scientific excellence with ability to make impact in drug discovery and development programs in a timely manner * Ability to work virtually with project teams across different locations and time zones Desirable * Experience in QSP modelling * Experience in modelling neurodegenerative diseases * Experience working in drug discovery and development Company Overview: Certara is a world leader in bio-simulation which combines sophisticated research and development informatics with the power of predictive science methodologies to span the drug development spectrum and offer pharma a previously unavailable 'end-to-end' solution in the quest for improving human health. The Certara UK division develops industry-standard mechanistic models and tools in the areas of physiologically-based pharmacokinetics (PBPK), quantitative systems pharmacology (QSP) and quantitative systems toxicology and safety (QSTS). Certara combines sophisticated research and development informatics with the power of predictive science methodologies to span the drug development spectrum and offer pharma a previously unavailable 'end-to-end' solution in the quest for improving human health. Applications: Please send your CV, covering letter and the names of two references to the Certara Careers Page: www.certara.com

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Postdoc position in the Dutch Research Consortium 'Language in Interaction' (1.0 FTE)
by Verhoef, J.P. (Julia) 12 Apr '19

12 Apr '19

Postdoc position in the Dutch Research Consortium 'Language in Interaction' (1.0 FTE) Donders Institute, Centre for Cognitive Neuroimaging Maximum salary: € 4,978 gross/month Vacancy number: 30.05.19 Application deadline: 5 May 2019 [Logo NWO] [Logo Language in Interaction] Responsibilities We are currently recruiting for a 3-year postdoctoral researcher position regarding "Understanding the nature of the mental lexicon" in the Language in Interaction consortium. The goal of this project is to use advanced computational models applied to neural data to understand the structure and function of the language system and obtain a better understanding of the mental lexicon. You will be member of Big Question 1 (BQ1), a larger endeavour to develop computational models of the mental lexicon from linguistic, psychological and neuroscience perspectives. Your responsibility is to develop computational models and apply them to neural data to obtain new neurolinguistic insights. To this end, you will make use of existing publicly available datasets. You will also facilitate collaborative projects in BQ1 that combine the scientific expertise across different work packages. You are expected to take a leading role in translating modeling work to scientific output that provides new insights into the neural correlates of language, as disseminated via high-impact publications. The position also includes a small number of organizational and administrative tasks within BQ1 and the larger consortium. This position provides an opportunity to conduct world-class research as a key member of an interdisciplinary team operating at the interface between artificial intelligence and cognitive neuroscience. Work environment The Netherlands has an outstanding track record in the language sciences. The Language in Interaction research consortium, which is sponsored by a large grant from the Netherlands Organization for Scientific research (NWO), brings together many of the excellent research groups in the Netherlands in 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 modeling, 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 (BQs) 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 modeling? BQ2: What are the characteristics and consequences of internal brain organization for language? BQ3: Creating a shared cognitive space - How is language grounded in and shaped by communicative settings of interacting people? BQ4: Variability in language processing and in language learning - Why does the ability to learn language change with age? How can we characterise and map individual language skills in relation to the population distribution? BQ5: How are other cognitive systems shaped by the presence of a language system in humans? You will be appointed at the Donders Institute, Centre for Cognition, Radboud University, Nijmegen, the Netherlands. The project is embedded in the Donders Institute’s research theme "Brain Networks and Neuronal Communication" and will be supervised by Prof. Marcel van Gerven. The research is conducted in an international setting at all participating institutions. English is the lingua franca. What we expect from you We are looking for a highly motivated candidate with a PhD degree in Cognitive Neuroscience, Computational Linguistics, Artificial Intelligence or a related field of research. We expect you to have expertise in the domain of language research, excellent computational skills and Python programming experience, as well as experience with neural data analysis. You will further develop the modeling approaches that are being created within the team and apply these approaches to rich neural datasets to generate new insights about the nature of the mental lexicon. You should have an outstanding scientific track record, excellent organisational, and communication skills, a strong motivation, and high proficiency in written and spoken English. Applications from excellent candidates with a less than ideal profile will also be considered. What we have to offer * employment: 1.0 FTE; * a maximum gross monthly salary of € 4,978 based on a 38-hour working week (salary scale 11); * in addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus; * term of contract: you will be appointed for an initial period of 12 months, after which your performance will be evaluated. If the evaluation is positive, the contract will be extended by 24 months; * UFO job profile: Researcher, Level 3; * the Collective Labour Agreement (CAO) of Dutch Universities is applicable to this position; * 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: Language in Interaction<https://www.languageininteraction.nl/> Further information on: Donders Institute<https://www.ru.nl/donders/> For more information about this vacancy, please contact: Prof. dr. Marcel van Gerven, Principal Investigator Artificial Cognitive Systems, and Telephone: +31 24 365 59 31 E-mail: m.vangerven(a)donders.ru.nl<mailto:m.vangerven@donders.ru.nl> Prof. dr. Peter Hagoort, Programme Director Language in Interaction consortium Telephone: +31 24 361 06 48, +31 24 352 13 01 E-mail: p.hagoort(a)donders.ru.nl<mailto:p.hagoort@donders.ru.nl> Are you interested? You should upload your application (attn. of Prof. dr. M. van Gerven) exclusively using the button 'Apply' below. Your application should include (and be limited to) the following attachment(s): * a cover letter * CV, including a list of publications and the names of at least two persons who can provide references Please apply before 5 May 2019, 23:59 CET. [Apply]<https://www.ru.nl/applyonline?recid=601960&tk=uk>

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PhD in Computational and Mathematical Neuroscience (EPSRC funded, 3.5 yrs, Sept 2019 start)
by James Rankin 12 Apr '19

12 Apr '19

*PhD in Computational and Mathematical Biology (EPSRC funded, 3.5 yrs, Sept 2019 start) [re-advertised]* General information & apply (funding is primarily targeted at UK students): http://www.exeter.ac.uk/studying/funding/award/index.php?id=3386 Project description: http://www.exeter.ac.uk/codebox/phdprojects/Tabak-EPSRC-DTP-Project.pdf <http://www.exeter.ac.uk/codebox/phdprojects/Rankin-EPSRC-DTP-Project.pdf> *Closing date 13 May 2019. Interviews will be held at the University of Exeter Streatham Campus during the week of 10 June 2019.* Neurons and endocrine cells generate pulses of electrical activity. The patterns of electrical activity vary from cell-to-cell, and characteristics of these patterns (pulse duration, amplitude, timing) are critical to the function performed by the cell. For instance, electric pulse duration and frequency determines the quantity of hormone released by endocrine cells. Electrical currents are produced by ion channels, which act as non-linear electric conductances. The interactions between these non-linear conductances generate the complex patterns of electrical activity. Thus, the exact activity pattern of a given cell depends in a complex way on the exact distribution, or combination of weightings, of the different ion channels. To understand how different combinations of ion channel weightings result in a given pattern of electrical activity, we use mathematical models based on nonlinear differential equations that describe how the conductances vary with the cell electric potential and how they in turn change this potential. The problem with these models is that a lot of parameters are unknown, including the weightings of each channel. Electrophysiologists can record the electrical activity patterns from individual cells, but they cannot measure all the channel weightings from one cell. The objective of this funded PhD project is to extract information about the weightings from the measured electrical activity. The successful candidate will generate a database of channel weighting combinations and compute the resulting electrical activity pattern associated with each combination. They will then apply machine learning and/or topological data analysis to this database. This will allow them to deduce the relationships between weightings across models that generate electrical activity patterns selected from a subset of the database. By identifying the relationships between channel weightings across a highly heterogeneous population we can pinpoint the rules that regulate electrical activity across heterogeneous populations of cells. These methods will then be applied to existing datasets of electrophysiological recordings from electrically active cells. This project provides a unique opportunity to develop experience in machine learning and to receive training in mathematical modelling of neurons. This work will be done in close collaboration with experimentalists using cutting-edge methods that incorporate modelling and electrical recordings together. The student will therefore be exposed to multidisciplinary teamwork. If they so desire, they will also have the opportunity to learn electrophysiology and generate their own dataset of experimental electrical recordings. Candidates with quantitative backgrounds (mathematics, physics, engineering, computer science) are encouraged to apply to this 3.5 year PhD Scholarship. Programming experience, knowledge of dynamical systems theory and experience in biological modelling are a plus. The successful candidate will also be expected to travel to conferences to present their work. *For further information, please contact Dr Joel Tabak J.Tabak(a)exeter.ac.uk <J.Tabak(a)exeter.ac.uk> and Dr James Rankin j.a.rankin(a)exeter.ac.uk <j.a.rankin(a)exeter.ac.uk>* http://emps.exeter.ac.uk/mathematics/staff/jar226

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NEST Conference 2019 --- Abstract submission extended to 23 April
by Hans Ekkehard Plesser 11 Apr '19

11 Apr '19

Dear colleagues! We are looking forward to welcoming you to NMBU's beautiful campus south of Oslo for the NEST Conference 2019 on 24/25 June 2019 (Monday/Tuesday) To give you a chance to include your latest results in your NEST Conference 2019 Abstract, we have EXTENDED the ABSTRACT SUBMISSION DEADLINE to TUESDAY 23 April Please submit your one-page abstract by email to conference(a)nest-initiative.org using the template available from http://www.nest-initiative.org/conference As we experienced problems with our email system in recent weeks. If you have submitted an abstract, but not received a confirmation of receipt, please submit your abstract once more by mail to conference(a)nest-initiative.org. We apologise for the inconvenience. The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. We would like you to share your experiences made and results obtained with NEST during the conference. You can do so either by a short oral presentation (10–15 minutes), on a poster, through a demo, or by organizing group work. Important dates • 23 April 2019 — Deadline for abstract submissions • 01 May 2019 — Notification of acceptance • 15 May 2019 — Deadline for registration For details, abstract submission and registration, please see http://www.nest-initiative.org/conference You are also welcome to contact us at conference(a)nest-initiative.org. Hans Ekkehard Plesser President The Neural Technology Simulation Initiative http://www.nest-initiative.org -- 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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Call for applications: Brains for Brains Young Researchers' Computational Neuroscience Award 2019
by Kerstin Schwarzwaelder 11 Apr '19

11 Apr '19

Dear colleagues, It's our pleasure to inform you that for the ninth time, the Bernstein Network<http://www.nncn.de/en/bernstein-association> is announcing the "Brains for Brains Young Researchers' Computational Neuroscience Award". The call is open for researchers of any nationality who have contributed to a peer reviewed publication (as coauthor) or peer reviewed conference abstract (as first author) that was submitted before starting their doctoral studies, is written in English and was accepted or published in 2018 or 2019. The award is endowed with a travel grant of 2.000 € to cover a trip to Germany, including participation in the Bernstein Conference 2019 in Berlin (www.bernstein-conference.de<http://www.bernstein-conference.de>), and an individually planned visit to up to two German research institutions in Computational Neuroscience. Deadline for application is April 24, 2019, 2:00 p.m. CET (Application deadline will not be extended!) Detailed information about the application procedure can be found under: https://www.bernstein-network.de/en/the-network/awards/b4b2019 For inquiries please contact bernstein.network(a)fz-juelich.de<mailto:bernstein.network@fz-juelich.de> Best regards, Kerstin Schwarzwälder -- Dr. Kerstin Schwarzwälder Scientific Coordination / Management Officer Please note: Our email addresses have changed. Please use k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 mail: k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> web: www.nncn.de<http://www.nncn.de> Twitter: NNCN_Germany<https://twitter.com/NNCN_Germany> YouTube: Bernstein TV<https://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany<https://www.facebook.com/BernsteinNetwork/> LinkedIn: Bernstein Network Computational Neuroscience, Germany<https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> <https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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PhD summit on Intelligent Systems on Oct. 2-4, 2019 at EPFL, Lausanne, Switzerland
by Auke Ijspeert 10 Apr '19

10 Apr '19

*PhD summit on Intelligent Systems on Oct. 2-4, 2019 at EPFL, Lausanne, Switzerland* https://phdsummit.epfl.ch/ Please circulate widely. Dear Colleagues, dear PhD students, The School of Engineering of EPFL in Switzerland is pleased to announce the 2nd edition of the annual Engineering *PhD Summit, a workshop for final year PhD students* interested in a career in academia. This year the summit will focus on *"Intelligent Systems"*, i.e. software and/or hardware systems that can interact with their dynamic environments, process data, perform proper actions, and improve over time, see https://phdsummit.epfl.ch/intelligent-systems/ * *Workshop dates: October 2-4, 2019* * *Deadline for application: May 31st, 2019* *Top final year PhD students active in intelligent systems are invited to apply.* We will select up to 20 candidates on a very competitive basis and invite them to EPFL Switzerland where they will get the opportunity to present their research and get informal feedback from top faculty members. Each accepted student will be given the opportunity to visit EPFL laboratories related to summit theme and have intensive exchange with the lab head and the students. The PhD Summit prize for the best presentation and research content will be awarded at the end of the workshop.*Funds for travel and accommodation will be provided for the selected candidates.* Visit the Engineering PhD Summit website: https://phdsummit.epfl.ch/ More details about the application process: https://phdsummit.epfl.ch/application-process/ Many thanks in advance and best regards, Auke Ijspeert -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique Fédérale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert@epfl.ch -----------------------------------------------------------------

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Computational Vision Summer School 2019 in the Black Forest, Germany - Application deadline April 15th
by Hendrikje Nienborg 10 Apr '19

10 Apr '19

** *[apologies for cross-posting]* * We are seeking applications for the 3rd Computational Vision Summer School (CVSS) from 30.6. to 7.7.2019 in Freudenstadt (Black Forest), Germany. The summer school, aimed at PhD students and Postdocs, spans the spectrum of vision research from neuroscience and psychophysics to computer vision to foster discussions at the intersection of biological and artificial vision systems. It seeks to bring together people from diverse disciplines who all share a computational view of vision and who, due to the diversity of disciplines involved, do not regularly meet. CVSS is free of tuition and accomodation is sponsored by the German Research Foundation (DFG: CRC/1233 Robust Vision). Application deadline: April 15, 2019 http://orga.cvss.cc/ Confirmed speakers: Ted Adelson (MIT, USA) Matthias Bethge (University of Tübingen, Germany) Michael Black (MPI-IS Tübingen, Germany) EJ Chichilnisky (Stanford University, USA) Alexei Efros (UC Berkeley, USA) Sanja Fidler (University of Toronto / NVIDIA, Canada) Chelsea Finn (UC Berkeley, USA) Roland Fleming (University Giessen, Germany) Bill Geisler (UT Austin, USA) Otmar Hilliges (ETH Zürich, Switzerland) Mackenzie Mathis (Harvard University, USA) Bruno Olshausen (UC Berkeley, USA) Ruth Rosenholtz (MIT, USA) Stefan Roth (TU Darmstadt, Germany) Eero Simoncelli (New York University, USA) Antonio Torralba (MIT, USA) Raquel Urtasun (University of Toronto / Uber ATG, Canada) Felix Wichmann (University of Tübingen, Germany) Li Zhaoping (MPI-IS and University of Tübingen, Germany) Program Chairs and Advisory Board: Andreas Geiger, Hendrikje Nienborg, Siyu Tang, Bei Xiao Matthias Bethge, Michael Black, Felix Wichmann * -- Dr. Hendrikje Nienborg Werner Reichardt Centre for Integrative Neuroscience Universitaet Tuebingen Tel: +49 (0) 7071- 29 88846 email: hendrikje.nienborg(a)cin.uni-tuebingen.de

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Position Group Leader Netherlands Institute for Neuroscience
by Vacatures 10 Apr '19

10 Apr '19

[cid:image001.jpg@01D4EEB8.807F5A50] The Netherlands Institute for Neuroscience (NIN) is an institute of the Royal Netherlands Academy of Arts and Sciences (KNAW). We aim to explain how circuits of neurons enable us to see the world and act upon it. We have an exciting opportunity for an inspiring Group Leader who is a creative and independent scientist with leadership capabilities and who increases the diversity of the staff. Can you develop a productive and innovative research program and establish an independent research group through a combination of core funding and extramural funding? Can you complement our research program, which is dedicated to understanding the circuits of the brain? Would you enjoy working in close collaboration with other research groups at our institute? And do you have a clear vision on how to approach current challenges in neuroscience? Then this job may be for you. We are looking for a candidate whose research fits with that of our current groups and who harmonizes with us by contributing conceptual and methodological bridges. If you are using innovative ways to analyze brain circuits at any level from synaptic plasticity to sensation and behavior, you could strengthen the institute’s portfolio. Our groups use state of the art electrophysiology, in vivo microscopy, transgenic and viral techniques, gene expression profiling as well as high-density EEG and 3T and 7T functional MRI. Ideal candidates are passionate about sharing these approaches and would contribute with their own excellence in, for example, computational, big data, molecular, cell biological or behavioral approaches. Job description You would have the following responsibilities: • coordinate and conduct research in one of the above mentioned fields • acquire external research funding • mentor PhD students and postdocs • make an inspiring and complementary contribution to the NIN • actively collaborate with the diverse groups at the NIN Desired skills and experience • you preferably have obtained your PhD degree no longer than 10 years ago. We will deduct a 1.5 year period for each child when comparing productivity across candidates to account for the family investment involved in maternity • you have an excellent and demonstrable track record in scientific research, and publications in relevant journals, • experience in acquiring external funding for research, • excellent communication skills, • ability to work and troubleshoot independently and collaboratively. As an Equal Opportunity Employer, we strongly encourage those who are underrepresented in neuroscience to consider our employment opportunities. Team The Netherlands Institute for Neuroscience (www.nin.nl<http://www.nin.nl>) is the country’s leading fundamental neuroscience research institute. It provides a critical mass of scientists in the neuroscience techniques, together with a dynamic multi-cultural environment. English is the working language of all research groups. Amsterdam is an internationally-oriented city and an attractive, progressive and easy-to-integrate environment. The research groups have members from more than 27 nations with backgrounds ranging from philosophy to engineering, but with an emphasis on biology and psychology. Appointment We offer an exciting job at a dynamic research institute and an attractive package of fringe benefits. Based on seniority, the position is either tenure track with predefined evaluation criteria or tenured. The salary is in accordance with the regulations for academic personnel, and will range from €67,000 up to a maximum of €89,000 per year before tax, (including holiday and end of year allowance) based on a full-time appointment, and depending on expertise and previous experience. Gross monthly salaries are in accordance with the Collective Labour Agreement (CAO) for Dutch Universities. <http://www.vsnu.nl/en_GB/cao-universiteiten.html> Additionally, the housing department of the Netherlands Institute for Neuroscience assists foreign employees and students in finding accommodation. Starting date Summer 2019 Application and time schedule Applications should be submitted via email (to vacatures(a)nin.knaw.nl<mailto:vacatures@nin.knaw.nl>): · * a cover letter and a statement summarizing your research interests and motivation (max 1 page); * * a curriculum vitae including a complete list of publications and a list of your five best papers; * * your previous research accomplishments and your future research goals (max 2 pages); * * the name and email addresses of up to three referees * * a completed excel file with specific questions that you download from https://nin.nl/form.xlsx The deadline for applications is 15 May 2019. Pre-selection of candidates will be completed 31 May 2019 by a gender-balanced panel of peers from the institute. Applicants will be emailed about pre-selection outcomes by 3 June 2019. Pre-selected candidates will be invited for a 2-day visit to our institute in Amsterdam on the 24th and 25th of June 2019 for presentations, discussions and interviews. For further information on our institute please visit our website: https://nin.nl/ or contact Pieter Roelfsema p.roelfsema(a)nin.knaw.nl<mailto:p.roelfsema@nin.knaw.nl>; General Director, Ronald van der Neut r.van.der.neut(a)nin.knaw.nl<mailto:r.van.der.neut@nin.knaw.nl>; Managing director, or Dorien Bisselink d.bisselink(a)nin.knaw.nl<mailto:d.bisselink@nin.knaw.nl>; head human resources department. Any acquisition further to this advertisement will not be appreciated Netherlands Institute for Neuroscience Meibergdreef 47 1105 BA Amsterdam The Netherlands Present on: Monday|Tuesday|Wednesday|Thursday|Friday [Logo]

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Fully funded PhD positions in Frankfurt, Germany
by Martin Vinck 09 Apr '19

09 Apr '19

Apologies for cross-posting: The laboratory of Dr. Martin Vinck at the Ernst Struengmann Institute for Neuroscience in Cooperation with Max Planck Society <http://www.esi-frankfurt.de/esi-frankfurt/>is seeking multiple candidates for computational neuroscience Ph.D. positions to be filled in Spring/Early Summer 2019. Positions are fully funded. These positions encompass following projects: 1) Theoretical and data-analytical approaches to population coding in the nervous system. These include: - Mathematical approaches to understand the relationship between rate and temporal coding. - Development of unsupervised machine learning techniques to study neuronal patterns in high-dimensional state-spaces, with an emphasis on temporal sequencies in neural activity. This work builds further on our recent Plos Computational Biology paper. <https://doi.org/10.1371/journal.pcbi.1006283> - Study of state-space trajectories on short time-scales. 2) Study of travelling wave patterns from electrode arrays. The goal here is to detect different kinds of spatio-temporal travelling wave patterns and understand how they relate to behavior and sensory stimulation. 3) The study of predictive coding using deep learning network models. These projects include: - Use of deep learning models for predictive coding models, and optimization of learning strategies in unsupervised learning models. - Predicting features of neural activity from these models. 4) Development of algorithms and open-source platform for efficient analysis of high-dimensional neural datasets on high-performance computing clusters and GPUs in Julia or Python. The focus is on the extraction of network correlation measures in high-dimensional spiking datasets, and the development of new tools to quantify Granger-causality and spike-field coherence. PhD students will work together with experimental neuroscientists in our laboratory and apply methods and models on experimental datasets from primate and rodent animal models. Experiments in the laboratory include multi-areal electrophysiology with sillicon probes together with optogenetics. It is also possible for PhD students to participate actively in these experiments. We are primarily looking for students with training in a quantitative discipline (physics, electrical or biomedical engineering, computer science, mathematics, etc.), or neuroscientists with additional quantitative training. Some experience with neuroscience, or a proven interest in neuroscience, is a pre, but not a must. Frankfurt is an internationally oriented city with many prestigious neuroscience institutes in the neighbourhood, e.g. the Max Planck Institute for Brain Research <http://brain.mpg.de/home.html>, the FIAS <https://fias.institute/> and the Interdisciplinary Center for Neuroscience <https://www.izn-frankfurt.de/en/>. Major collaborator on this project is Dr. Francesco Battaglia from the Donders Centre, Nijmegen. ------------------------------ Interested candidates are invited to send their application materials in electronic form (PDF format) to martin.vinck(a)esi-frankfurt.de Applications should contain a letter of intent, a detailed curriculum vitae, lists of university courses completed with marks obtained, and the names of at least two scientists who can give references (or at least two reference letters). Please indicate which projects are of your core interest. First deadline is 15th of April. The advertisement will be valid until positions are filled.

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MIT challenge and workshop (July 19-20): The Algonauts project - explaining brain data with computational models
by Yalda Mohsenzadeh 09 Apr '19

09 Apr '19

Dear community, The Algonauts Project has launched its first Challenge, Explaining the Human Visual Brain<http://algonauts.csail.mit.edu/>, inviting you to come up with a computer model of how the human brain sees and recognizes objects. Participants who develop the best models will be invited to present their work at a workshop July 19-20 at MIT in Cambridge, Mass. The overall goal of the Algonauts Project is to explain brain data with computational models, and to bring biological and AI researchers together on a common platform to advance human and machine intelligence research. To enter the 2019 Explaining the Human Visual Brain Challenge, download the development kit and data here: http://algonauts.csail.mit.edu/challenge.html The deadline to submit a model is June 22, 2019. Please also join us July 19-20 at MIT for the Algonauts’ Explaining the Human Visual Brain Workshop. The workshop will feature student tutorials, presentations from Challenge winners, and talks by pioneers in neuroscience, cognitive science and computer science. Good luck with your submission and we look forward to seeing you at the workshop in July! Best, The Algonauts Project team Organizers: Radoslaw Cichy, FUB Aude Oliva, MIT Gemma Roig, SUDT

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Nottingham Fellowships in: Mathematical Neuroscience, Computational Imaging
by Stephen Coombes 08 Apr '19

08 Apr '19

Nottingham Research and Anne McLaren Fellowship Opportunities in the Precision Imaging Beacon Fellowships in: Mathematical Neuroscience Computational Imaging - AI https://www.nottingham.ac.uk/jobs/currentvacancies/ref/NARFB2019X2 <https://www.nottingham.ac.uk/jobs/currentvacancies/ref/NARFB2019X2> This is an exciting opportunity to join the research team in the Precision Imaging Beacon of Excellence, which is driving the discovery and translation of new imaging tools which will transform non-invasive diagnosis, improve the outcomes for patients, and allow better evaluation of the success of medical interventions. Our prestigious internal fellowship schemes are a fundamental part of the University of Nottingham’s Research Vision and support its aim to recruit the next generation of outstanding research leaders. We will be recruiting a diverse cohort of 100 Nottingham and Anne McLaren Research Fellows by the end of 2022, and as part of this we are particularly interested to recruit outstanding candidates to the Precision Imaging Beacon. Beacon fellows will be supported to develop an independent research career, whilst actively contributing to the aims of the Beacon Research Programme and are expected to become active members of the Sir Peter Mansfield Imaging Centre (SPMIC). We support applicants with diverse career paths and backgrounds and also welcome applications from those wishing to work part-time in order to combine the fellowship with personal responsibilities. Each fellowship offers: Three years independent funding, (nominal start date October 2019), to conduct research while based at the University of Nottingham. Extensive career development support, including participation in a mentoring scheme Competitive salary set on the Clinical Academic Salary Scale or Research and Teaching Staff Scales Level 5 The linking of the Fellowship to an established academic post for scientists Research expenses totalling £75,000. Additional childcare costs of up to £5,000 per annum Relocation expenses of up to £1,500 The opportunity to spend periods of time at University of Nottingham Campuses in China and Malaysia. Closing Date Wednesday, 8th May 2019 ----------------------------------------------------- Stephen Coombes Professor of Applied Mathematics School of Mathematical Sciences Nottingham, UK Tel: 0115 846 7836 http://www.maths.nott.ac.uk/~sc/ ----------------------------------------------------- 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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Post-doctoral Research Scientist or PhD candidate in Cochlear Implant Psychoacoustics and (neural) Modeling
by Seeber, Bernhard 06 Apr '19

06 Apr '19

Dear List, we are inviting applications for a post-doctoral research scientist or a PhD candidate to join our team in cochlear implant research/psychoacoustics. Main responsibilities are: - Research on binaural hearing and auditory scene analysis with users of auditory neuronal prostheses (cochlear implants) - Development of listening tests and stimulation strategies using direct stimulation of cochlear implants - Measurement and modeling of neuronal processing and statistical analysis of the results - Publication in English-language scientific journals and presentations at conferences - Supervision of student projects, assistance with teaching and with raising external funding. The position is full time and will start at the earliest convenient date. Qualifications: - (Interest in completing a) Doctoral degree (PhD) in one of the following areas: psychoacoustics, medical physics/audiology, neuroscience, audio technology, acoustics, signal processing, or a related area - Knowledge and experience desirable in designing and analyzing psychoacoustic experiments, direct stimulation of cochlear implants, algorithms for hearing devices, auditory scene analysis, binaural hearing, models of the auditory system, audio signal processing - Very good programming skills in Matlab, Python, or C/C++ - Excellent written and oral communication skills as well as experience with scientific publications - Knowledge and command of the German language desirable for working with cochlear implant users - Interest in basic research and the development of technical systems for medical applications - Flexibility and good interpersonal skills - Interest in supervising students, helping with teaching and raising external funds. We offer... you the opportunity to join an interdisciplinary team, to work with up-to-date technical equipment including sound booths equipped with direct stimulation hardware for cochlear implants, an anechoic chamber hosting an audio-visual virtual reality system, and to learn about the latest methods in hearing research. Our close interaction with the Bernstein Centre for Computational Neuroscience Munich (www.bccn-munich.de) the Munich School of BioEngineering (www.bioengineering.tum.de) the Graduate School of Systemic Neurosciences (www.gsn.uni-muenchen.de) the Hearing Research Network Munich, our extensive cooperation with industry and with scientific partners, and the numerous courses offered at TUM create an attractive environment with excellent perspectives for personal development. Please find further information at www.aip.ei.tum.de. Employment is according to the state employees salary scheme (TV-L/E13) and is initially for 1 year and intended to be extended. Women are explicitly encouraged to apply. Severely handicapped persons will be favored if they are equally qualified. In principle, the position could also be filled part-time. Munich - the city famous for the Oktoberfest, high-end cars and its unique location to the Alps - is a bustling, international and interesting place to live which offers a wide range of opportunities to engage in cultural and leisurely activities - from opera to skiing. Interested? I look forward to answering your questions on the phone (+49 89 289 28282) or by email. Please send your expressive application stating research interests preferably by email no later than 12 May 2019 to: Prof. Dr.-Ing. Bernhard Seeber Professorship of Audio Information Processing Technical University of Munich Arcisstrasse 21 80333 Munich, Germany Email: aip(a)ei.tum.de. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. Please take note of TUM's data protection information for collecting and processing the personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation. By submitting your application, you confirm that you have acknowledged the above data protection information. The job advertisement can be downloaded from: http://www.aip.ei.tum.de/fileadmin/w00bmm/www/Stellenanzeigen/BCCN_Post_Doc… Kind regards, Bernhard -- Prof. Dr.-Ing. Bernhard U. Seeber Audio Information Processing Dept. of Electrical and Computer Engineering Technische Universität München Arcisstrasse 21 D-80333 Munich, Germany Office: +49 89 289-28282 Fax: +49 89 289-28211 Mobile: +49 (0)174 928 6338 Visitors: Theresienstrasse 90, building N5, room N6504 Web: www.aip.ei.tum.de

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Post-doctoral associate machine learning and human auditory neuroscience
by Jochem Rieger 05 Apr '19

05 Apr '19

Dear list, The DFG-funded cluster of Excellence "Hearing 4 All" has an open post-doctoral position in project "Characterizing central neural speech processing in normal and hearing impaired listeners using machine learning". The aim of the project is to combine neurophysiological measurements (fMRI and/or MEG/EEG) with data driven machine learning to characterize cortical consequences of hearing loss. We offer an international and interdisciplinary research environment and access to up-to-date research facilities. The position is available from June 1st, 2019 until October 31st, 2022. Salary level German TV-L E13, full time. The salary includes an experience dependent component. Application deadline is April 20th 2019 The full job announcement can be found here: https://uol.de/stellen/?stelle=66544 Contact for further questions is jochem.rieger(a)uol.de Oldenburg is a city in northern Germany with high quality of life. It is located 1h from the north sea and 30 min from Bremen. Please forward this message to people who might be interested Regards, Jochem -- Prof. Dr. rer. nat. Jochem Rieger Head of Applied Neurocognitive Head of Neuroimaging Unit Psychology Faculty VI Carl-von-Ossietzky University 26111 Oldenburg Germany Phone: +49(0)4417984533 Fax: +49(0)4417983865

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Barcelona summer school for Advanced Modelling of Behavior (BAMB!), September 4-10, 2019
by Alexandre Hyafil 05 Apr '19

05 Apr '19

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 Renard (Champalimaud) Maneesh Sahani (UCL) Chris Summerfield (Oxford / Deepmind) Klaus Wimmer (CRM, Barcelona) Angela Yu (UC San Diego) Dates and location: September 4-10 2019, 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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MSc in Computational and Systems Neuroscience – University of Leicester
by CSN 05 Apr '19

05 Apr '19

MSc in Computational and Systems Neuroscience – University of Leicester We are delighted to introduce a new one-year, full-time postgraduate degree covering theoretical and practical aspects of modern computational neuroscience, and their applications in areas of cellular, systems and cognitive neuroscience. Students will learn the basics of neuroscience and how to apply different approaches from artificial intelligence and machine learning into neuroscience data modelling and analysis. The MSc Project will provide substantial experience with the main steps of undertaking a neuroscience research project, including experimental design, data acquisition, analysis and result interpretation. The programme will take advantage of the expertise of Centre for Systems Neuroscience (CSN) staff, whose research bridges the experimental and theoretical worlds. Applications for October 2019 entry will be accepted in May 2019. We welcome applicants with a background in Psychology, Biological Sciences (or related disciplines), Neuroscience, Computer Science, Engineering, Physics, or Mathematics. Further details can be found on our webpage: https://le.ac.uk/courses/computational-and-systems-neuroscience-msc/2019 Please contact Joy Kocik on msccn(a)le.ac.uk or +44 (0) 116 373 6264 for more information. With best regards, Dr Hernan Rey Programme Lead University of Leicester

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Postdoc position in computational neuroscience at the Gatsby Unit
by Peter Latham 05 Apr '19

05 Apr '19

The Gatsby Computational Neuroscience Unit, a world-class centre for theoretical neuroscience and machine learning, invites applications for one or more postdoctoral training fellowships in theoretical neuroscience. We are looking especially for someone with an interest and/or background in synaptic plasticity and learning. Candidates should have a very strong analytical background in physics, mathematics, statistics, or machine learning, with an emphasis on the use of Bayesian methods in neuroscience, a detailed knowledge and understanding of the literature, and a publication record in highly ranked conferences and journals. Candidates must also have a PhD in a relevant subject area by the agreed start date of the position. Training fellowships are funded by the Wellcome Trust, and are part of a continuing program of training postdoctoral researchers. The position is available for an initial period of two years, and may be renewed to a maximum of three years. To apply, go to http://www.gatsby.ucl.ac.uk/vacancies/index.html and click on Research Fellow (Training Fellowship in Theoretical Neuroscience or Machine Learning) Please be sure to attach to your online application a copy of your CV, statement of research interests, and full contact details (including e-mail addresses) of three academic referees. CVs should include education history, details of current or most recent position, and details of previous employment or fellowships. For further details of our research, go to http://www.gatsby.ucl.ac.uk/research.html Questions should be directed to Peter Latham, pel(a)gatsby.ucl.ac.uk

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Stanford Postdoctoral Fellowship: Computational Modeling of Brain Networks
by Christina Atkinson 04 Apr '19

04 Apr '19

POSTDOCTORAL FELLOWSHIP IN COMPUTATIONAL MODELING OF BRAIN NETWORKS   Currently Available: The Stanford Cognitive and Systems Neuroscience Laboratory invites applications for a postdoctoral fellowship in computational modeling of human brain imaging data using deep neural networks. The successful candidate will be involved in a multidisciplinary project that seeks to develop novel computational frameworks for robust identification of neurobiological signatures of psychiatric and neurological disorders combining deep learning and convolution networks and dynamic brain circuit analyses with task and resting-state fMRI. Clinical disorders currently under investigation include autism, ADHD, anxiety and mood disorders, learning disabilities, schizophrenia, and Parkinson’s disease. We seek talented and highly-motivated individuals with a strong background in at least one of these areas: deep learning algorithms and optimization (theory and practical implementations); computational modeling, statistical inference, and machine learning, especially as applied to fMRI and MRI data. The candidate will have access to multiple large datasets and state-of-the-art computational resources, including HPCs and GPGPUs. Please email a CV, statement of research interests and relevant background, and have three letters of reference sent to Drs. Vinod Menon and Aarthi Padmanabhan at scsnl.stanford+postdoc(a)gmail.com<mailto:scsnl.stanford@gmail.com>

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Full PhD scholarship on Research in areas of Machine Learning and Data Science, Western Sydney University, Australia
by Oliver Obst 04 Apr '19

04 Apr '19

We are offering a research scholarship and tuition fee waiver to a highly motivated PhD student at the Centre for Research in Mathematics, Western Sydney University. Our team conducts research both in the theoretical aspects of data science, such as computational statistics and machine learning methods (for example deep learning and reinforcement learning), as well as in problems arising from applications across a very broad spectrum of partners in business and government. Required qualifications are a first class honours or a Master degree with a research component, in relevant areas of Computer Science, Data Science, Mathematics or Statistics. For details, please see the full information here: http://bit.ly/2UkpCvS and contact me at o.obst(a)westernsydney.edu.au<mailto:o.obst@westernsydney.edu.au> to discuss potential projects. Applications close 30 Apr 2019 (11:59pm Australian Eastern Standard Time). -- Oliver Obst, Associate Professor in Data Science Centre for Research in Mathematics Director for Research, Quality, and Innovation School of Computing, Engineering, and Maths Western Sydney University, Parramatta +61 2 9685 9429 http://www.oliverobst.eu/

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Call for proposals to host CNS*2021
by Sharon Crook 03 Apr '19

03 Apr '19

The Organization for Computational Neurosciences requests proposals from candidate local organizers to hold CNS*2021, preferably at a location in Europe, but all applications will be considered. Groups or individuals interested in organizing the 2021 meeting should submit a proposal following the on-line instructions and using the on-line templates at: https://www.cnsorg.org/cns-2021-local-organizer Proposals should be submitted by email to OCNS President Volker Steuber at president(a)cnsorg.org no later than October 1, 2019. The OCNS Board Members will consider the proposals, contact local organizers for more information if necessary, and select a location in a timely agreement between OCNS and the potential local organizers. As usual, the selected location will be officially announced in at the CNS Meeting in July of 2020. An earlier email to the OCNS President declaring the intent to submit a proposal would be appreciated, but is not required. The OCNS Board thanks you for your support. ________________________________ Organization for Computational Neurosciences • 2885 Sanford Ave SW #15359, Grandville, Michigan 49418, United States

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Reminder - Course announcement : CAMP@Bangalore 2019
by Bhanu Priya 03 Apr '19

03 Apr '19

We would like to announce CAMP@Bangalore 2019 from 27 June 2019 to 12 July 2019. CAMP (Computational Approaches to Memory and Plasticity at NCBS, Bangalore) is a 16-day summer school on the theory and simulation of learning, memory and plasticity in the brain. The course consists of four modules covering sub-cellular electrical models, micro-circuits and network models, detailed models with electrical and chemical components, and systems level models, all with an emphasis on learning, memory and plasticity. The flavor of this edition of CAMP will be Synaptic Plasticity. Students worldwide are encouraged to apply. Accommodation and food will be free for the selected students. There is no registration fee. Students are advised to obtain independent travel grants. Application deadline : 6 April, 2019. Referee letters must reach by 8 April, 2019 Please check the course website http://camp.ncbs.res.in/ for more details. Course Organizers: Arvind Kumar (KTH Stockholm) Rishikesh Narayanan (Indian Institute of Science, Bangalore) Suhita Nadkarni (Indian Institute of Science Education and Research, Pune) Upinder Bhalla (National Centre for Biological Sciences, Bangalore) -- Bhanu Priya S Graduate Student Dr. Upinder Bhalla Lab National Centre for Biological Sciences, Bangalore, India

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Awesome-computational-neuroscience a list of researchers at graduate institutions
by Eli Selkin 01 Apr '19

01 Apr '19

To all researchers, I’ve started a list of computational and theoretical neuroscience programs, including a list of researchers at each institution and a link for easy access to their research. It is in its very infancy and needs everyone’s help to flesh out schools in regions around the world. The list can be found here: https://github.com/eselkin/awesome-computational-neuroscience My motivation for starting the list was to find institutions with researchers who had interests even tangentially related to my own. Searching through publications only yielded limited matches and institution pages are generally outdated or not complete. Additionally, there doesn’t seem to be any centralized list that gives an overview of what institutions value computational or theoretical neuroscience. I wanted to change that. GitHub is a very stable and functional way to change this. Similar to a wiki, everyone has the opportunity to participate on an open repository. Additionally most labs have someone who is familiar with git if not GitHub in particular. The list has a code of contribution with rules about formatting. This style guide allows the list to be consistent between institutions. Additional information about how to apply to the school is welcome. I have found that schools, even in the US, have very diverse admission criteria. If you are looking to attract students who are interested in your work, please add yourself and your institution. Many thanks! Sincerely, Eli Selkin ejselkin(a)cpp.edu https://github.com/eselkin -- --- Eli Selkin, L.C.S.W. MS'18 http://www.cpp.edu/~ejselkin https://www.github.com/eselkin https://www.linkedin.com/in/eliselkin https://eliselkin.com

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Research Position in NeuroComputing / Computational Neuroscience at TU Chemnitz (Germany)
by Julien Vitay 27 Mar '19

27 Mar '19

A PostDoc or Ph.D. position is available at the Chemnitz University of Technology in the Department of Computer Science. The position is initially until 31.12.2021, starting as soon as possible. The research position is funded by the state of Saxony AI initiative. The goal in our project is to develop brain-inspired cognitive architectures, particularly regarding recurrent dynamics in the prefrontal cortex and their shaping by reinforcement learning processes in the basal ganglia. The proposed neuro-computational approach will rely on reward-modulated recurrent networks (reservoir computing) using closed-loop interactions with the basal ganglia and the thalamus. The model will be tested against behavioral and physiological data and its functional properties will be compared to classical machine learning approaches. The ideal candidate should have prior experience in neural networks, neurocomputing or computational neuroscience and sufficient programming experience. Very good English reading and speaking skills are required. German language skills are not required, but the willingness to learn German would be useful. The salary is according to German standards (E 13 TV-L, 75%). The university is an equal opportunity employer. Women are encouraged to apply. Disabled applicants will receive priority in case they have equal qualifications. Chemnitz is the third-largest city of the state of Saxony and close to scenic mountains. Major cities nearby are Leipzig and Dresden with a rich tradition of music and culture. Applications should be sent by email (preferably in PDF format) to ( fred.hamker(a)informatik.tu-chemnitz.de) as soon as possible. Applications will be considered until the position is filled. Prof. Dr. Fred Hamker Künstliche Intelligenz Fakultät für Informatik TU Chemnitz 09107 Chemnitz www: https://www.tu-chemnitz.de/informatik/KI/index.php.en

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PhD position in Machine Learning at Imperial College London
by MyPAJudith 27 Mar '19

27 Mar '19

PhD position in Machine Learning in the Clopath lab under the joint supervision of Dr Claudia Clopath (Imperial College London) and Dr Razvan Pascanu (DeepMind London) -----------------Description-------------- This is a 3-year, fully-funded PhD position at Imperial College London. The position will be co-supervised by Dr. Claudia Clopath (head of the lab) and Dr. Razvan Pascanu (Research Scientist at DeepMind). The student will be based in the Clopath lab. The focus of the PhD will be on machine learning while drawing inspiration from computational neuroscience. In particular, the main themes will revolve around Deep Learning and Deep Reinforcement Learning. The research will be published at conferences such as NeurIPS, ICML or ICLR. An *incomplete* list of topics of interest could include: Theory of Deep Learning/Deep Reinforcement Learning Understanding learning dynamics Representational power of neural networks Exploiting our understanding of dopamine for training RL systems Topics around introducing structure in neural networks (e.g. Graph-Nets) Optimization for neural networks (theory/application) Understanding memory in recurrent models/attention based models (improve the memory capacity of RNNs) Meta-learning/Continual learning or exploration in RL systems Although we welcome the student’s suggestion for potential projects. ---------------Requirements-------------------- The perfect candidate has a strong background in maths, physics, engineering or related fields. Machine Learning background is a plus but not necessary. The candidate should have strong programming skills (knowledge of tensorflow/pytorch would be a plus but not required). Interest in neural networks research and experience is a plus. Due to the funding requirement of the position, the candidate should be an *EU or British citizen*. The funding/position will not be affected by the Brexit outcome. ------------ The lab ------------ The Computational Neuroscience Laboratory is very young and dynamic, and publishes in prestigious journals and conferences. It is part of the Department of Bioengineering, which conducts state-of-the-art multidisciplinary research. The lab is at Imperial College London, the 3rd ranked university in Europe, is in the top 10 worldwide, and is located in the city centre of London. More information can be found at: http://www.bg.ic.ac.uk/research/c.clopath/ DeepMind is a company focusing on AI and ML research, with world-wide recognized expertise. Its research centers around Deep Learning and Reinforcement Learning, with successes such as AlphaGo, first AI winning against a human professional at the game of Go. More information here: https://deepmind.com/about/. For more info on Razvan Pascanu’s work see https://sites.google.com/view/razp. ----------------- How to apply:----------------- Candidates should send a single pdf file, consisting of a 1 to 2-page motivation letter followed by a CV (including publication list) to judith(a)mypajudith.com, with the subject containing 'PhD_ML_2019'. In addition, candidates should organize two letters of reference to be sent to judith(a)mypajudith.com, with the subject containing 'PhD_ML_2019'. The position is open until filled but the earlier applications will be considered first (first round of consideration will take applications sent before April 10th).

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2019 NEURON Summer Course
by Carnevale, Nicholas 25 Mar '19

25 Mar '19

The 2019 NEURON Summer Course will be held at the Minneapolis campus of the University of Minnesota, from Monday, June 10, through Saturday, June 15. The course will present a thorough introduction to computational modeling of neurons and networks with NEURON, and is suitable for individuals at all levels of expertise. The registration deadline is Friday, May 31, 2019. No applications will be accepted after that date, and there will be no on-site registration. Space is limited, and applications will be considered in the order received. 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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The Virtual Brain - Node #8 Workshop [Marseille, May 20-21]
by Jan Fousek 25 Mar '19

25 Mar '19

Get up to speed about the fundamental principles of full brain network modeling using the open-source neuroinformatics platform The Virtual Brain (TVB) at our 2-day workshop held in Marseille on May 20-21, 2019 . TVB NODE#8 takes place ahead of NeuroFrance2019; be sure to register for both! TVB enables biologically realistic modeling of network dynamics using Connectome-based approaches across different brain scales. Generate macroscopic neuroimaging signals including fMRI, intracranial and stereotactic EEG, surface EEG and MEG for single subjects. Personalized brain network models can be derived from an individual’s MRI data. Researchers from different backgrounds can benefit from an integrative software platform including a supporting framework for data management (generation, organization, storage, integration and sharing) and a simulation core written in Python. Applications to use cases in the healthy and diseased brain are explicitly presented. Workshop program overview: * Theoretical background of large scale brain network modeling * Architecture of The Virtual Brain * Interacting with TVB using GUI and Python CLI * Preprocessing neuroimaging data, or how to obtain a TVB dataset * Clinical applications of The Virtual Brain: modeling epilepsy * Modeling brain dynamics in brain tumor patients * Fitting the brain model parameters to the functional data * Modeling resting state networks * Modeling brain stimulation and mouse brains * Modifying TVB code and implementing new features * Optional: bring your own data LOCATION Aix-Marseille Université - Faculté de Médecine Campus La Timone Bâtiment Pédagogique 27 Boulevard Jean Moulin Marseille, France 13005 REGISTER HERE: https://tvb-node8.eventbrite.ca The workshop is organized with interleaved oral presentation and hands-on sessions. Attendants will have the time to ask questions. The hands-on sessions will let you immediately apply the concepts from the lectures to your simulations in TVB. *Bring your own device.* Refreshments will be available during the breaks and lunch will be provided. *WORKSHOP HAS LIMITED ATTENDANCE* *Registration will be closed on April 29th.* More information: https://www.thevirtualbrain.org/tvb/zwei/newswire-event-single/243713-works… Please contact Jan Fousek (jan.fousek at univ-amu.fr) if you have any questions. Jan Fousek INS - Institut de Neurosciences des Systèmes UMR INSERM 1106, Aix-Marseille Université 27 Bd Jean Moulin 13005 Marseille France https://ins-amu.fr/

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Course announcement : CAMP@Bangalore 2019
by Bhanu Priya 24 Mar '19

24 Mar '19

We would like to announce CAMP@Bangalore 2019 from 27 June 2019 to 12 July 2019. CAMP (Computational Approaches to Memory and Plasticity at NCBS, Bangalore) is a 16-day summer school on the theory and simulation of learning, memory and plasticity in the brain. The course consists of four modules covering sub-cellular electrical models, micro-circuits and network models, detailed models with electrical and chemical components, and systems level models, all with an emphasis on learning, memory and plasticity. The flavor of this edition of CAMP will be Synaptic Plasticity. Students worldwide are encouraged to apply. Accommodation and food will be free for the selected students. There is no registration fee. Students are advised to obtain independent travel grants. Application deadline : 6 April, 2019. Please check the course website http://camp.ncbs.res.in/ for more details. Course Organizers: Arvind Kumar (KTH Stockholm) Rishikesh Narayanan (Indian Institute of Science, Bangalore) Suhita Nadkarni (Indian Institute of Science Education and Research, Pune) Upinder Bhalla (National Centre for Biological Sciences, Bangalore) -- Bhanu Priya S Graduate Student Dr. Upinder Bhalla Lab National Centre for Biological Sciences, Bangalore, India

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post-doc position, Moreno-Bote lab, Barcelona
by Ruben Moreno Bote 23 Mar '19

23 Mar '19

*Post-doctoral position* *Computational Neuroscience, Moreno-Bote Lab * *University Pompeu Fabra, Barcelona, Spain* We are looking for strong post-doctoral candidates interested in joining the group of Theoretical and Cognitive Neuroscience of Rubén Moreno-Bote lab. We are looking for excellent post-doctoral candidates with Physics, Mathematics or Machine Learning background, ideally with knowledge of Neuroscience or Computational Neuroscience, and interested in theory and applications. The publication record of the candidate should be very strong in his/her respective discipline. The candidate will develop state of the art mathematical techniques to understand neuronal dynamics and will have access to multielectrode recording neural data. He/she could also be involved in the design of electrophysiology experiments through our collaborators. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our lab (http://www.upf.edu/pdi/ruben-moreno-bote) forms part of a larger network of neuroscience labs in Barcelona. Financial support is provided by the Howard Hughes Medical Institute and the Spanish MINECO. APPLICATION: A full CV in pdf format, a 1 page-long project in pdf format, and names and email addresses of 2 referees should be sent to the following address: ruben.moreno(a)upf.edu Informal inquiries are welcome. DEADLINE: up to the position is filled STARTING DATE: preferably any time between September 2018 and January 2019 -- Rubén Moreno Bote Serra Húnter & ICREA Academia Professor Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella c\ Ramon Trias Fargas, 25-27 Mercè Rodoreda building, 3th floor (room 24.331) 08005 Barcelona, Spain http://www.upf.edu/pdi/ruben-moreno-bote

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Job opening in Computational Neuroscience: Scientist for press and public relations work - focus on designing public presentations on a part-time basis
by Martina Reske 22 Mar '19

22 Mar '19

The Institute of Neuroscience and Medicine (INM) at Forschungszentrum Jülich, investigates the structure and function of the human brain on different spatial and temporal scales within the research program “Decoding the Human Brain”. The INM focuses on the structure and function of the healthy and diseased human brain, its variability, and its development during a lifetime. It aims to understand the structural and functional changes caused by neurological and psychiatric disorders and thus to improve their early diagnosis and treatment. Scientists from various disciplines have therefore joined forces, employing state-of-the-art imaging techniques such as structural and functional magnetic resonance imaging (MRI), positron emission tomography (PET), microanatomy, cell biology, genetics, and the methods used in physics and information science. The INM-6, Computational and Systems Neuroscience, develops mathematical models of the dynamics and function of neural circuits. These include model-driven analysis of brain activity and structure, and the simulation of biologically realistic models. The subinstitute is also part of the Institute of Advanced Simulation (IAS-6, Theoretical Neuroscience) and hosts the coordination office (BCOS) of the national Bernstein Network Computational Neuroscience. The INM-6 is strongly involved in the EU flagship project "Human Brain Project" (HBP, http://www.humanbrainproject.eu/) and leads several work packages in the subproject Theoretical Neuroscience as well as in the platforms Neuroinformatics, Brain Simulation and High-Performance Analytics and Computing. Together with its partners, the INM-6 develops leading codes for simulation (http://www.nest-initiative.org/) and data analysis (https://python-elephant.org/) on the brain scale with the resolution of individual nerve cells in an open source approach. We are looking to recruit a Scientist for press and public relations work - focus on designing public presentations on a part-time basis Your Job: * Development of the communication strategy and communication management of the institute * Development of concepts for graphic presentations and public relations of the institute as well as their creative implementation for various PR formats and scientific journals and media * Creation of popular scientific articles, placement of announcements in the media, design of texts, presentations and graphics in compliance with the corporate design * Inspection, analysis and evaluation of very complex, technically difficult and thematically diverse scientific information for the provision of information tailored to the target group * Planning and design of scientific graphics, figures, texts and audiovisual or interactive media for the visualization of scientific contents of the institute as well as their integration into the international scientific community * Development of new concepts for the institute website and for social media channels, including the creation and maintenance of a Twitter or Instagram account for the institute * Identification of high-profile research results and their preparation for the internet * Reworking of material prepared by scientists, e.g. image, text, video and graphic data, according to the target group * Preparation, revision and editing of scientific and non-scientific publications and presentations in German and English language * Graphic creation and preparation of scientific talks and lectures * Coordination and participation in the creation of posters and institute flyers * Taking scientific photographs or films and editing them digitally * Coordination of the work with the graphic service units of the research centre * Preparation, organization and monitoring of internal and external scientific events * Training of executives and scientists in dealing with the media Your Profile: * A university degree in physics, mathematics or biology or alternatively a university degree in communication & media sciences and very good knowledge of physics, mathematics and biology * Very experienced handling of graphics and video software such as GIMP, Inkscape as well as common Adobe applications * Good experience in dealing with the media and social media * Experience in writing German and English scientific and/or administrative texts * Experience with Linux, LaTeX and Python is desirable * Very good knowledge of layout and website editing systems * Very good knowledge of written and spoken English * Very independent and proactive working style * Pertinence and sensitivity to the specific needs of the customer Our Offer: * Exciting working environment on an attractive research campus with excellent infrastructure, located between the cities of Cologne, Düsseldorf, and Aachen * International and interdisciplinary working atmosphere * Working in a creative team with an international perspective * World-class work at the interface between neuroscience and technology on the most complex known systems * A comprehensive further training programme * Flexible working hours and various opportunities to reconcile work and private life * A part-time job with 19,5 hours per week * Limited for 2 years with possible longer-term prospects * Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD) Forschungszentrum Jülich aims to employ more women in this area and therefore particularly welcomes applications from women. We also welcome applications from disabled persons. We look forward to receiving your application, preferably online<https://www.hrecruiting.de/obf2/bewerbermanagement.php?kunden_nr=t5ChjatkIf…> via our online recruitment system on our career site until 14.04.2019, quoting the reference number 2019-126. Questions about the vacancy? Contact us by mentioning the reference number 2019-126: career(a)fz-juelich.de<mailto:career@fz-juelich.de?Subject=Questions%20about%20the%20vacancy%202019-126&body=You%20can%20use%20this%20field%20to%20send%20us%20questions%20about%20the%20job%20advertisement%20you%20have%20selected.%20If%20you%20would%20like%20to%20apply%20for%20the%20position%2C%20please%20note%20that%20this%20is%20only%20possible%20via%20our%20online%20application%20portal.> Please note that for technical reasons we cannot accept applications via email. -- 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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Junior Scientist Workshop on Advanced Neural Data Analysis 2019 in NYC
by Rainer Engelken 20 Mar '19

20 Mar '19

*Junior Scientist Workshop on Advanced Neural Data Analysis 2019 <https://ctn.zuckermaninstitute.columbia.edu/junior>* August 26th - 29th 2019, New York City, USA Hosted by the Center for Theoretical Neuroscience <https://ctn.zuckermaninstitute.columbia.edu/> at Columbia University Apply HERE <https://goo.gl/forms/xqlaJYZA7tiuhlWX2> by May 15 (11:59 p.m. EST): 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. During the workshop, attendees will present their research projects, followed by a hands-on programming tutorial on the computational techniques used in their work. The purpose is to gain a detailed understanding of the complexity of data and of the appropriateness of the different analysis techniques. The ideal participants are theoreticians with experience in analyzing experimental data as well as computationally minded experimentalists. By mixing a group of scientists with a diverse background but with overlapping goals of uncovering structure in neural data, the participants will learn an array of techniques and foster fruitful collaborations. The workshop will include presentations, tutorial sessions and lots of time and space for unfiltered in-depth discussions and data hacking sessions. We envision tutorials both on advanced data analysis as well as on specific experimental techniques and data processing. Participants are therefore expected to contribute with code or data to share and a reasonable dose of energy for giving tutorials on their work. Data and/or code can come in any format, including artificially generated data, but we encourage to make them available in a form that everyone can explore them with minimal overhead. Any data is shared only within the workshop. In order to foster an interactive atmosphere and allow everyone to give a detailed description and tutorial of their work, the workshop will be limited to a small group of participants. Participants will be provided with funds to cover travel, accommodation, and meals. We encourage applications from female scientists and those belonging to underrepresented minorities. The Junior Scientist Workshop is organized in partnership with the NeuroNex Theory Team at the University of Houston <https://neuronex.org/projects/13> and funded by NSF's NeuroNex <https://www.nsf.gov/news/news_summ.jsp?cntn_id=242652> initiative. The 2019 workshop will be held at Columbia University's Jerome L Greene Science Center <https://www.google.com/maps/place/Jerome+L.+Greene+Science+Center/@40.81685…>. Organizers: Fabio Stefanini, Mario Dipoppa, Rainer Engelken, Krešimir Josić, and Ashok Litwin-Kumar. ************************************************************* Rainer Engelken Mortimer B. Zuckerman Mind Brain Behavior Institute Columbia University pgp fingerprint: F94E 83D9 77AB 76F6 15E9 1503 3AD6 FCDC 410B 14F2 re2365(a)columbia.edu ctn.zuckermaninstitute.columbia.edu *************************************************************

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PhD Positions Available in Computational Neuroscience at Simula/UiO
by Kimberly McCabe 19 Mar '19

19 Mar '19

The Simula School for Research and Innovation seeks applicants for 3 *PhD positions* offered as part of a larger collaborative PhD programme between Simula, the University of Oslo (UiO), and the University of California, San Diego (UCSD). This programme has been named SUURPh (the Simula-UiO-UCSD Research and PhD training programme), and more details can be found on the programme home page <https://www.simula.no/education/educational-partnerships/suurph-programme>, and on the page for SUURPh applicants <https://www.simula.no/education/educational-partnerships/suurph/suurph-appl…> . Detailed descriptions of the projects being offered can be found on the Projects Page <https://www.simula.no/education/educational-partnerships/suurph/available-s…>. Each project will require slightly different expertise and experience, but all are within the scope of *computational biology *and medicine. Thus, Simula and UiO are seeking motivated and independent students from a wide range of training backgrounds, but particularly with a strong working knowledge in computational and quantitative sciences to take up these doctoral fellowships. The duration of SUURPh doctoral fellowships will be 3 years, and the time of initiation will vary depending on the project but can be as early as August 1st 2019. All Simula-based SUURPh fellows will be enrolled as PhD students at the University of Oslo Mathematics and Natural Sciences Faculty. An additional unique feature of the SUURPh programme is that SUURPh fellows will be required to conduct a portion of their doctoral research in San Diego. As such, all applicants should be prepared and eager to spend a portion of their degree (generally 6 months – 1 year) at UCSD. Applicants are also obligated to meet academic standards for PhD students at UiO, including receipt of a Master’s Degree by June 30, 2019. The deadline for applications is April 15, with hiring decisions expected by mid-June. Details regarding available projects, application requirements, and the hiring process can be found through our online application portals (through Simula <https://www.simula.no/about/job/simula-school-research-and-innovation-seeks…> or UiO <https://www.jobbnorge.no/en/available-jobs/job/166324/phd-fellowships-avail…>). UiO is separately advertising 4 PhD positions for this programme, and applicants are welcome to rank projects from both the Simula and UiO sections during the application process. Please feel free to forward this announcement to those who may be interested. If you have any questions, you may direct them to the programme coordinator Kim McCabe (kimberly(a)simula.no) Best, Kim Kimberly McCabe SUURPh Programme Coordinator Simula School for Research and Innovation

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post-doc positions at UCL, Space and Memory group of Neil Burgess
by Bicanski, Andrej 18 Mar '19

18 Mar '19

Two post-doc positions at University College London, in the Space and Memory group, with Neil Burgess Two post-doc positions are available at the UCL Inst of Cognitive Neuroscience with Neil Burgess’ Space and Memory group (https://www.ucl.ac.uk/icn/people/neil-burgess) Posts are until Sept 2021 in the first instance, extension contingent on further funding. Candidates will perform research in human cognitive and computational neuroscience that should complement the group’s current work, which includes: MEG decoding of sequential planning [1]; 3T and 7T fMRI of neural mechanisms in imagery, memory, navigation [2-4]; the effects of emotional content on memory [5]; intracranial recording in epilepsy patients [6]; computational modelling of imagery, memory and the roles of grid and place cells [7,8]. Researchers will collaborate with related work on grid and place cells in rodent virtual reality [9] and related groups at the ICN, Welcome Centre for Human Neuroimaging, Sainsbury Wellcome Centre for Neural Circuits and Behaviour and the wider UCL neuroscience community. For details and to apply, please see https://tinyurl.com/yyhr3kzr The deadline is 9th April. selected recent publications: 1. Kornysheva et al (2019) https://doi.org/10.1016/j.neuron.2019.01.018 2. Horner et al (2016) https://doi.org/10.1016/j.cub.2016.01.042 3. Horner et al (2015) https://www.nature.com/articles/ncomms8462 4. Grande et al (2017) http://www.abstractsonline.com/pp8/#!/4376/presentation/7698 5. Bisby & Burgess (2017) https://doi.org/10.1016/j.cobeha.2017.07.012 6. Bush et al (2017) https://doi.org/10.1073/pnas.1708716114 7. Bicanski & Burgess (2018) https://doi.org/10.7554/eLife.33752.001 8. Bicanski & Burgess (2019) https://doi.org/10.1016/j.cub.2019.01.077 9. Chen et al (2019) https://www.nature.com/articles/s41467-019-08550-1 Dr. Andrej Bicanski Institute of Cognitive Neuroscience University College London 17 Queen Square, WC1N 3AZ London, UK www.andrejbicanski.com<http://www.andrejbicanski.com>

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Tenure-track position: Theoretical and Computational Neurophysics, University of Calgary, Canada
by Nicola, Wilten 18 Mar '19

18 Mar '19

Tenure-track position: Theoretical and Computational Neurophysics, University of Calgary, Canada The Department of Physics and Astronomy at the University of Calgary seeks outstanding candidates for a tenure-track position at the rank of Assistant Professor, in the area of theoretical and computational neurophysics. The successful candidate is expected to establish an independent research program related to the fundamentals of brain and neural dynamics at the intersection of physics and neuroscience. Theoretical, computational and data-driven areas of interest in modeling neural systems include neural dynamics, plasticity, information propagation, and network neuroscience. Link: https://careers.ucalgary.ca/jobs/3670741-assistant-professor-theoretical-an… Deadline: May 31, 2019 --- Dr. Jörn Davidsen Associate Professor of Physics & Humboldt Research Fellow University of Calgary www.ucalgary.ca/complexity/davidsen<http://www.ucalgary.ca/complexity/davidsen>

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MSc Neuroscience program University of Freiburg, Germany
by Carsten Mehring 18 Mar '19

18 Mar '19

MSc program in Neuroscience - University of Freiburg, Germany We are inviting applications for the interdisciplinary MSc program in Neuroscience at the University of Freiburg, Germany. The program provides theoretical and practical training in neuroscience, covering both the foundations and the latest research in the field. It is taught by lecturers from an international scientific community from three faculties and two neuroscience research centres. The modular course structure caters to the specific backgrounds and research interests of each individual student and we offer specialisations in computational neuroscience, neuro-/optophysiology, neurotechnology and genes,circuiots & behaviour. All courses are taught in English. We welcome applications with a background in natural sciences, mathematics, behavioural sciences, computer science or engineering sciences. The deadline for applications for the October 2019 entry is the 31st of May 2019. Further details can be found on our homepage http://www.mscneuro.uni-freiburg.de <http://www.mscneuro.uni-freiburg.de/> Please contact mscneuro@uni-freiburg,de for further questions. With kind regards Carsten Mehring University of Freiburg

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INTERNATIONAL SUMMER SCHOOL IN COMPUTATIONAL NEUROSCIENCE, Beijing, August 2019
by Rava A. da Silveira 16 Mar '19

16 Mar '19

*CNeuro**: International Summer School and Workshop* *in Theoretical and Computational Neuroscience* *Tsinghua University, Beijing (August 2019)* *Background* How intelligence and behavior emerge from complex and intricate interactions within the brain remain important and unsolved mysteries in modern science. In the last decade, we have seen rapid progress in experimental tools that now make it possible to monitor and manipulate brain circuits in unprecedented detail. This research area presents both challenges and opportunities for experimentalists and theoreticians. The complexity and dynamics of the brain make it difficult to tackle its mechanisms and functions with experimental approaches alone. Mathematical theory is pivotal for obtaining new insights and for guiding experiment, as well as for identifying and unifying concepts and principles of brain functions. The aim of the two-week summer school and workshop will be to introduce students with strong quantitative background (e.g., in mathematics, theoretical physics, computer science, or engineering) to the emerging field of theoretical and computational neuroscience. The course will also bring together leading scientists in theoretical and computational neuroscience. We envision a collaborative environment where faculty and students will have in-depth discussions on topics in the frontier of neuroscience. The course will be a pedagogical basis for new students, introducing them to advanced mathematical methods and modeling approaches that are currently being used and developed to understand brain functions. *Time* 15 – 29 August 2019 *Location* The summer school will be held at the Tsinghua Laboratory of Brain and Intelligence (THBI), at Tsinghua University, in Beijing. THBI is a flagship project of the university. It is a new interdisciplinary research institute recently established by Tsinghua University, with dedicated faculty positions and research space. The institute aims to conduct cutting-edge interdisciplinary research across the fields of systems and computational neuroscience and artificial intelligence. The institute occupies three floors in a newly renovated building with large classrooms for teaching and computer labs, and ample offices for visiting scholars. *Organizers* Xiaoqin Wang, Johns Hopkins University and Tsinghua University Aravi Samuel, Harvard University Rava Azeredo da Silveira, Ecole Normale Supérieure Quan Wen, University of Science and Technology of China Sen Song, Tsinghua University *Faculty* Yoram Burak, The Hebrew University Dmitri Chklovskii, Flatiron Institute, Simons Foundation Michael Hausser, University of College London Yu Hu, Hong Kong University of Science and Technology Dezhe Jin, Penn State University Jian Liu, University of Leicester Cengiz Pehlevan, Harvard University Aravi Samuel, Harvard University Rava Azeredo da Silveira, Ecole Normale Supérieure Sen Song, Tsinghua University Louis Tao, Peking University Srinivas Turaga, Janelia Research Campus Xiaoqin Wang, Johns Hopkins University and Tsinghua University Quan Wen, University of Science and Technology of China Kechen Zhang, John Hopkins University *Applications* Please send a CV and a statement of purpose to thbi(a)tsinghua.edu.cn Application deadline: *20 May 2019* *Housing* International students will be housed on the Tsinghua University campus.

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PhD Comp Neuro position, Moreno-Bote lab, Barcelona
by Ruben Moreno Bote 16 Mar '19

16 Mar '19

*PhD Position in* *Computational Neuroscience, Ruben Moreno-Bote Lab * *Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain* 1 fully funded PhD position is available in the group of Theoretical and Cognitive Neuroscience of Ruben Moreno-Bote in the Center for Brain and Cognition at the University Pompeu Fabra, Barcelona, Spain. We are looking for excellent candidates with Physics, Mathematics or Machine Learning background interested in developing theory for the brain and mind. Knowledge of Computational Neuroscience or Neuroscience would be ideal, but it is not necessary. The candidate will develop state of the art theory and models to understand neuronal dynamics and coding and will have access to multielectrode recording neural data. She/he could also be involved in the design of monkey and human behavioral experiments and the development of models of visual perception, decision making and working memory. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our lab (https://www.upf.edu/web/ruben-moreno-bote) forms part of a larger network of neuroscience labs in Barcelona. Financial support is provided by the Howard Hughes Medical Institute and the Spanish MINECO. APPLICATION: A full CV in pdf format and an extract of grades for degree and master studies should be sent to the following address: ruben.moreno(a)upf.edu DEADLINE: until the position is filled STARTING DATE: any time between September 2019 and January 2020 -- Rubén Moreno Bote Serra Húnter & ICREA Academia Professor Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella c\ Ramon Trias Fargas, 25-27 Mercè Rodoreda building, 3th floor (room 24.331) 08005 Barcelona, Spain http://www.upf.edu/pdi/ruben-moreno-bote

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[CALL FOR PAPERS] IEEE/WIC/ACM International Conference on Web Intelligence (WI'19) 14-17 OCTOBER 2019 Thessaloniki, GREECE
by Gigg Liu 16 Mar '19

16 Mar '19

IEEE/WIC/ACM International Conference on Web Intelligence (WI'19) 14-17 OCTOBER 2019 Thessaloniki, GREECE https://webintelligence2019.com/ Sponsored By: Web Intelligence Consortium (WIC) Association for Computing Machinery (ACM) IEEE Computer Society In Cooperation With: Chinese Computer Federation (CCF) CALL FOR PAPERS Web has evolved as an omnipresent system which highly impacts science, education, industry and everyday life. Web is now a vast data production and consumption platform at which threads of data evolve from multiple devices, by different human interactions, over worldwide locations under divergent distributed settings. Such a dynamic complex system demands adaptive intelligent solutions, which will advance know-ledge, human interactions and innovation. Web intelligence is now a cutting edge area which must address all open issues towards deepening the understanding of all Web’s entities, phenomena, and developments. The theme for the WI'19 is: "Web Intelligence = AI in the Connected World". The 18th Web Intelligence conference (WI'19) aims to achieve a multi-disciplinary balance between research and technological disruptive advances in the fields of how intelligence is impacting the Web of People, the Web of Data, the Web of Things, the Web of Trust, and the Web of Health. WI'19 welcomes research, application as well as Industry/Demo track paper submissions in these core thematic pillars under wider topics, which demand WI innovative and disruptive solutions for any of the next indicative sub-topics. Track 1: Web of People Social networks analytics Social media and dynamics User and behavioral modeling Human centric computing Opinion mining Recommendation engines Sentiment analysis Crowdsourcing and social data mining People oriented applications and services Track 2: Web of Data Data science and machine learning Big data analytics Data integration and data provenance Cognitive models Computational models Information search and retrieval Algorithms and knowledge management Knowledge bases and semantic networks Linked data management and analytics Data driven services and applications Track 3: Web of Things IoT data analytics Web infrastructures and devices Mobile web Distributed systems and devices Open autonomous systems Industrial multi-domain web Streaming data analysis Smart city applications and services Track 4: Web of Trust Hidden web analytics Blockchain analytics and technologies Web-scale security, integrity, privacy and trust Web cryptography Fake content and fraud detection Web safety and openness Monetization services and applications Track 5: Web of Health Personalized health management and analytics Health data exchange and sharing Big data in medicine Wellbeing and healthcare in the digital era Omics research and trends Healthcare and medical applications and services IMPORTANT DATES The Program Chairs are soliciting contributed technical papers for presentation at the Conference and publication in the Conference Proceedings by ACM. Submissions are encouraged before the next deadlines: Feb 20th, 2019: Workshop Proposals May 12th, 2019: Full Papers; Demo papers; Tutorial proposals June 30th, 2019: Notification of Acceptance/Rejection July 14th, 2019: Final, Camera Ready Papers, Due PAPER SUBMISSION Please follow guidelines: https://wi-lab.com/cyberchair/2019/wi19/scripts/submit.php?subarea=Wr/. Papers must be submitted electronically via Cyberchair in standard ACM format (max 8 pages). Submitted papers will undergo a peer review process, coordinated by the International Program Committee. ORGANIZATION General Chairs Georg Gottlob, UK Yannis Manolopoulos, Cyprus Program Chairs Payam Barnaghi, UK Athena Vakali, Greece Steering Committee Chairs Jiming Liu, HK, China Ning Zhong, Japan Track Chairs Panagiotis Bamidis, Greece Marios Dikaiakos, Cyprus Elena Ferrari, Italy Josiane Xavier Parreira, Ireland Herman Purohit, USA Workshop Chairs Dimitrios Katsaros, Greece Rahul Pandey, USA Demo Chairs Amelie Gyrard, USA George Pallis, Cyprus Proceedings Editor Theodoros Tzouramanis, Greece Publicity Chairs Karin Becker, Brasil Leonidas Anthopoulos, Greece Yang Liu, Hong Kong Xujuan Zhou, Australia

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Post-Doc position: HuRRiCane project (deadline 27/03)
by Xavier Hinaut 15 Mar '19

15 Mar '19

Dear Colleagues, I would like to share the following post-doc position opening in my team (see below) with the title: HuRRiCane: Hierarchical Reservoir Computing for Language Comprehension If you know people interested, please forward. Thank you very much. Best regards, Xavier Hinaut Inria Researcher (CR) Mnemosyne team, Inria LaBRI, Université de Bordeaux, France Institut des Maladies Neurodégénératives +33 5 33 51 48 01 www.xavierhinaut.com --- Title HuRRiCane: Hierarchical Reservoir Computing for Language Comprehension Post-doc position for 1 year Starting October 2019 Deadline for applications Send email ASAP and before 27th of March 2019 Apply on before 31st of March 2019 How to apply? All info here: https://sites.google.com/site/xavierhinaut/job-internship-offers/post-docto… Remuneration 2653€ / month (before taxes) Keywords Computational Neuroscience, Recurrent Neural Networks, Reservoir Computing, Language Processing, Language Acquisition, Speech Processing, Modeling, Language Grounding, Prefrontal Cortex, Sequence Learning, Machine Learning. Scientific research context How does our brain understand a sentence at the same time as it is pronounced? How are we able to produce sentences that the brain of the hearer will understand? There is a huge number of tools for Natural Language Processing (NLP), but there is fewer computational models that try to understand how language comprehension and production works effectively in the brain. There are theoretical models or models based on psychological experiments (Dell & Chang 2014), but few models are based on neuro-anatomy and brain processes (Hinaut & Dominey 2013). Moreover, even fewer of these models have been implemented in robots, to demonstrate their robustness among other things (Hinaut et al. 2014). Using robots to study language grounding, acquisition and development is not a new topic, in fact Cangelosi et al. (2010) have proposed a roadmap to tackle this long research plan. In order to model how a sentence can be processed, word by word (Hinaut & Dominey 2013), or even phoneme by phoneme (Hinaut 2018), the use of recurrent neural networks such as Reservoir Computing (Jaeger 2004), and its extension, the Conceptors (Jaeger 2017), offers advantages and interesting results. In particular, the possibility to compare the dynamics of the model with the dynamics of brain electrophysiological recordings (Enel et al. 2016) is an interesting asset. The Reservoir Computing paradigm is also interesting because it can be trained with few data and have quick execution time for human-robot interactions. The use of linguistic models with robots, is not only useful to validate the models in real conditions: it also enables to test other hypotheses, notably the anchoring of the language (Harnard 1990) or the emergence of symbols (Taniguchi et al., 2016). Work description The objective is to experiment how a sentence comprehension model, based on reservoir computing, can learn to understand sentences by exploring which meanings can have the sentences, implying several steps from stream of phonemes to words and from stream of words to sentence comprehension. The model will be implemented on a virtual agent first and then on the Nao humanoid robot For the experiments we want to make, a model implemented in a situated agent or robot is needed in order to "understand" the meaning of the utterance which is being told and figure out whether the meaning is plausible or not. If the meaning found does not make sense, the model could "re-parse" the sentence and reinterpret it. Moreover, we prefer to have a concrete corpus of based on actions a robot can do rather than abstract sentences of the Wall Street Journal (a classical benchmark). We have already performed several experiments with both sentence comprehension and production models with humanoid robots such as iCub and Nao (Hinaut et al. 2014, Twiefel et al. 2016). Having a plausibility measure of a meaning will allow us to set up a cascading reinterpretation if necessary, first from the word level, and if that is not enough, to reinterpret the phonemes to find new plausible words. There exists two main types of observations made with an electroencephalogram (EEG) with human subject: P600 and N400. They are assumed to correspond to syntactically or semantically reinterpretations of the sentence. The model developed will have to account for these induced observations. In Hinaut & Dominey (2013), we showed that our model could provide an equivalent of P600 when a sentence was syntactically complex. This project is linked to other projects in the team on the hierarchical organization of the prefrontal cortex (including Broca's area, involved in language). This hierarchy corresponds to an increasingly higher abstraction, which is made by different sub-areas. We will therefore be able to link this post-doc project to existing projects of the team, where different levels of abstractions are necessary for sentence comprehension. Main References - G. S. Dell, & F. Chang (2014) The P-chain: Relating sentence production and its disorders to comprehension and acquisition. Philosophical Transactions of the Royal Society B: Biological Sciences, 369(1634). - H. Jaeger, (2017) Using conceptors to manage neural long-term memories for temporal patterns. The Journal of Machine Learning Research, 18(1), 387-429. - X. Hinaut, P.F. Dominey (2013) Real-Time Parallel Processing of Grammatical Structure in the Fronto- Striatal System: A Recurrent Network Simulation Study Using Reservoir Computing. PloS ONE 8(2): e52946. - X. Hinaut, M. Petit, G. Pointeau, P.F. Dominey (2014) Exploring the Acquisition and Production of Grammatical Constructions Through Human-Robot Interaction. Frontiers in NeuroRobotics 8:16. - Hinaut, X. (2018). Which Input Abstraction is Better for a Robot Syntax Acquisition Model? Phonemes, Words or Grammatical Constructions? In 2018 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob). Skills Good background in computational neuroscience, computer science, physics and/or mathematics; A strong interest for neuroscience, linguistics and the physiological processes underlying learning; Python programming with experience with scientific libraries Numpy/Scipy (or similar programming language: matlab, etc.); Experience in machine learning or data mining; Independence and ability to manage a project; Good English reading/speaking skills. French speaking is not required Benefits package Subsidized meals Partial reimbursement of public transport costs Possibility of teleworking (after 6 months of employment) and flexible organization of working hours Professional equipment available (videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage

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PhD FELLOWSHIP IN INTERDISCIPLINARY NEUROSCIENCE @ LISBON (pre-selection 20th Mar, application 28th Mar)
by Prata, Diana 15 Mar '19

15 Mar '19

For divulgence - many thanks. PhD FELLOWSHIP IN INTERDISCIPLINARY NEUROSCIENCE @ LISBON (pre-selection 20th Mar, application 28th Mar) The annual FCT state-sponsored PhD scholarship application call is now open (deadline 28th of March - see conditions in https://www.fct.pt/apoios/bolsas/concursos/individuais2019.phtml.en) and is an excellent opportunity to be part of a PhD project at the Biomedical Neuroscience Lab (Diana Prata's lab; dpratalab.wordpress.com<http://dpratalab.wordpress.com>) at the University of Lisbon. If you are interested in a project within one the research streams below, please contact the PI (diana.prata(a)kcl.ac.uk<mailto:diana.prata@kcl.ac.uk>) for a skype interview by 20th of March, to ascertain mutual interest. This being ascertained, your FCT PhD scholarship (deadline 28th Mar) application can be associated with one of the lab's projects. Research stream 1: Neurobiology of Social Cognition Context. Understanding the neurochemistry and circuitry mediating social cognition is key to treat a large range of neuropsychiatric disorders – as social deficits are often present at their origin and often do not subside with treatment. Working out what others think, intend and feel is essential for optimal communication and cooperation and is dysfunctional in schizophrenia and other illnesses. We are characterizing the physiology involved in social cognition, for example: how does oxytocin promote social reinforcement learning? What effect does it have in brain and behaviour? How does it interact with other neurotransmitter systems? Tools. We will study healthy humans and schizophrenia patients with structural and functional neuroimaging (MRI, DTI and MRS), double blind placebo-controlled pharmacological administration, psychological testing, social cognition tasks, eye-tracking, pupilometry, skin conductance response, EEG, DNA/proteomics testing and computational modelling. We use mainly MATLAB, SPSS, and other more specific quantitative data analysis and task presentation software. Sponsors. European Commission, Portuguese Science and Technology Foundation, and Bial Foundation. Main collaborations. King’s College London (UK), Emory University (USA), and The Netherlands Institute for Neuroscience (The Netherlands). Project Stream 2. Multimodal biomarkers to predict the onset and prognosis of neuropsychiatric illnesses. Keywords. Genetics, neuroimaging, environment, clinical biomarkers, schizophrenia, autism, Alzheimer’s, Parkinson’s. Context. Psychiatry and, to a lesser extent, neurology are still fields of medicine that take very little advantage of quantitative, biological and objective measurements – with a lot of trial-and-error and one-size-fits-all therapeutics. This may be why diagnosis, prediction of prognosis and response to treatment are relatively inaccurate, late and expensive. For example, about a third of Alzheimer’s cases go on mis- or under-diagnosed; it is still undetected which one third of people with at-risk symptoms for schizophrenia go on to develop this chronic illness, and about one quarter of schizophrenia patients do not respond to their first line of treatment. Can we capitalize on the existing information in brain scans and other quantitative measurements to assist clinicians in deciding on patients’ diagnosis or prognosis, earlier and more accurately than currently – so that the correct treatment can start as soon as possible? Tools. We are developing pattern recognition algorithms that can statistically predict the level of personalized risk of each new patient. To train these algorithms, we use pre-existing samples (free online or our own) containing neuroimaging and also genetic, psychological, environmental and clinical data. We use mainly MATLAB, Python and machine learning tools. Sponsors. Portuguese Science and Technology Foundation, NIHR (National Institute for Health Research, UK) Main Collaborations. King’s College London (UK), Radboud University Nijmegen (The Netherlands), University of Munich (Germany)

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Job Openings: Professor / Associate Professor / Assistant Professor (Computer Science) at Hong Kong Baptist University
by COMP HKBU 15 Mar '19

15 Mar '19

The Department of Computer Science of Hong Kong Baptist University, presently offers BSc, MSc, MPhil, and PhD programmes, now seeks outstanding applicants for the following faculty positions on tenure-track. The appointees are expected to perform high-impact research; to teach and manage programmes at undergraduate and postgraduate levels, as well as to contribute to professional and institutional services. Collaboration with other faculty members in research and teaching is also expected. They will be encouraged to collaborate with colleagues within the Department to contribute to two special thematic applications including (a) health informatics and (b) secure and privacy-aware computing, and/or outside the Department to contribute to interdisciplinary research projects under our University’s Research Cluster on Data Analytics and A.I. in X. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality research in one of the Department’s key research areas: (i) computational intelligence, (ii) databases and information management, (iii) networking and systems, and (iv) pattern recognition and machine learning. Applicants should also demonstrate strong commitment to undergraduate and postgraduate teaching in computer science and/or information systems, possess track record of innovative research and high-impact publications, and demonstrate the ability to bid for and pursue externally-funded research programmes. Initial appointment will be made on a fixed-term contract of three years. Re-appointment thereafter is subject to mutual agreement and availability of funding. For enquiry, please contact Dr. William Cheung, Head of Department (email: william(a)comp.hkbu.edu.hk) More information about the Department can be found at http://www.comp.hkbu.edu.hk . Rank and salary will be commensurate with qualifications and experience. Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk). Applicants are requested to send in samples of publications, preferably three best ones out of their most recent publications. Applicants should also request two referees to send in confidential letters of reference, with PRnumber (stated above) quoted on the letters, to the Personnel Office (email: recruit(a)hkbu.edu.hk) direct. All application materials including publication samples, scholarly/creative works will be destroyed after completion of the recruitment exercise. Details of the University's Personal Information Collection Statement can be found at http://pers.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the posts advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Review of applications will begin in mid April 2019 and will continue until the positions are filled. URL: https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=503

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CFP 28th International Conference on Artificial Neural Networks ICANN 2019, Sept 17-19, Munich, DE, Deadline extension
by Paolo Masulli ENNS 14 Mar '19

14 Mar '19

28th International Conference on Artificial Neural Networks http://icann2019.org = Second announcement - submission deadline extended to April 1, 2019 = Munich, Germany 17 - 19 September 2019 Special event: BIGCHEM (http://bigchem.eu) final meeting ============================================================ The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2019 the Helmholtz Zentrum Muenchen - German Research Center for Environmental Health GmbH (HMGU) and the Technical University of Munich (TUM) together with the "Big Data in Chemistry" Marie Skłodowska-Curie Innovative Training Network European Industrial Doctorate project (BIGCHEM) organize the 28th ICANN Conference from the 17th to the 19th of September 2019 in Munich, Germany. CONFERENCE TOPICS ICANN 2019 is a dual-track conference featuring tracks in Brain Inspired Computing and Machine Learning and Artificial Neural Networks, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes: Machine Learning: Deep Learning, Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models Recurrent Networks. Brain Inspired Computing: Cognitive models, Computational Neuroscience, Self-organisation, Reinforcement Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics. Neural Applications for: Bioinformatics, Biomedicine, Intelligent Robotics, Neurorobotics, Language Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks. Special session (BIGCHEM): Big Data analysis in chemistry, chemoinformatics, use of deep learning to predict molecular properties, drug-discovery, modelling and prediction of chemical reaction data, synthetic route prediction, structure generation, molecular dynamics simulations and quantum chemistry. Special sessions: Artificial Intelligence in Medicine, Informed and Explainable Methods for Machine Learning, Deep Learning in Image Reconstruction, Machine Learning with Graphs: Algorithms and Applications, Neural Variational Inference and Time Series. Workshops: 1st International Workshop on Reservoir Computing (RC 2019) CALL FOR CONTRIBUTED SCIENTIFIC COMMUNICATIONS All scientific communications presented at ICANN 2019 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature three categories of communications: - oral communications (15'+5') - poster communications - demonstrations Call for Papers: Authors willing to present original contributions in either oral or poster category may submit: - a proceedings paper manuscript of about 10 - 12 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series with individual DOI - extended abstracts of a maximum length of 4 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series. The number of oral slots is limited. In case the number of requested oral presentations is larger than the available slots the ICANN scientific committee will select which papers will be reassigned to a poster session. This selections will be based on the coherence of the programme and is totally independent of the category of submission. Submission of communications will be online. More details will be made available soon on the conference website: http://icann2019.org IMPORTANT DATES Deadline of special sessions submission: 1 February 2019 Opening of contribution submissions: 1 February 2019 Submission of demonstration proposals: 1 March 2019 Deadline of proceedings paper submission: EXTENDED to 1 April 2019 Deadline of extended abstracts submission: 1 April 2019 Notification of acceptance: 1 May 2019 Camera-ready paper and registration opening: 1 June 2019 Deadline early registration at discount rate: 15 June 2019 Conference dates: 17-19 September 2019 REGISTRATION FEES (EARLY RATES) Full registration: 400 EUR Student registration: 250 EUR Reductions for ENNS members BEST PAPER AWARDS ENNS will sponsor a maximum of four best paper awards, two in the Brain Inspired Computing track (one poster and one oral communication) and, analogously, two in the Machine Learning Research track. All awardees will be presented during the final ceremony. TRAVEL GRANTS The European Neural Network Society sponsors a number of Student Travel Grants covering part of the costs for attending ICANN. Details on the conference website. ORGANISATION General Chair: Igor Tetko (ENNS/HMGU Munich, Germany) and Fabian Theis (HMGU/TUM Munich, Germany) Organising Committee Chairs: Monica Campillos (HMGU Munich, Germany), Alessandra Lintas (ENNS Lausanne, Switzerland) Honorary Chair: Vera Kurkova, Czech Academy of Sciences (ENNS President) Communication Chair: Paolo Masulli (ENNS Lausanne, Switzerland)

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[journals] CfP : Special Issue on Continual Unsupervised Sensorimotor Learning
by Nguyen, Sao Mai 14 Mar '19

14 Mar '19

Dear Colleagues, IEEE Transactions on Cognitive and Developmental Systems is currently running a Special Issue entitled " Continual Unsupervised Sensorimotor Learning". Dr. José Antonio Iglesias Martínez, Assoc. Prof. We would like to invite you to prepare a research article or a comprehensive review to be published in this special issue. AIM AND SCOPE Although machine learning algorithms continue to improve at a rapid pace enabling technologies and products such as autonomous driving cars and sophisticated image and speech recognition, it is often forgotten that these applications represent tailored solutions to specific tasks. Thus it is not clear if or how these autonomous systems can pave the road to general purpose machines envisioned by many. The pursuit for higher levels of autonomy and versatility in robotics is arguably lead by two main factors. Firstly, as we push robots out of the labs and productions lines, it becomes increasingly difficult to design for all possible scenarios that a particular robot might encounter. Secondly, the cost of designing, manufacturing, and maintaining such systems becomes prohibitive. As the algorithms for learning single tasks in restricted environments are improving, new challenges have gained relevance in order to get more autonomous artificial systems. These challenges include multi-task learning, multimodal sensorimotor learning and lifelong adaptation to injury, growth and ageing. Addressing these challenges promise higher levels of autonomy and versatility of future robots. This special issue on Continual Unsupervised Sensorimotor Learning is primarily concerned with the developmental processes involved in unsupervised sensorimotor learning in a life-long perspective, and in particular the emergence of representations of action and perception in humans and artificial agents in continual learning. These processes include action-perception cycle, active perception, continual sensory-motor learning, environmental-driven scaffolding, and intrinsic motivation. The special issue will highlight behavioural and neural data, and cognitive and developmental approaches to research in the areas of robotics, computer science, psychology, neuroscience, etc. Contributions might focus on mathematical and computational models to improve robot performance and/or attempt to unveil the underlying mechanisms that lead to continual adaptation to changing environment or embodiment and continual learning in open-ended environments. Contributions from multiple disciplines including cognitive systems, cognitive robotics, developmental and epigenetic robotics, autonomous and evolutionary robotics, social structures, multi-agent and artificial life systems, computational neuroscience, and developmental psychology, on theoretical, computational, application-oriented, and experimental studies as well as reviews in these areas are welcome. THEMES This special issue aims to report state-of-the-art approaches and recent advances on Continual Unsupervised Sensorimotor Learning with a cross-disciplinary perspective. Topics relevant to this special issue include but are not limited to: Emergence of representations via continual interaction Continual sensory-motor learning Action-perception cycle Active perception Environmental-driven scaffolding Intrinsic motivation Neural substrates, neural circuits and neural plasticity Human and animal behaviour experiments and models Reinforcement learning and deep reinforcement learning for life-long learning Multisensory robot learning Multimodal sensorimotor learning Affordance learning Prediction learning SUBMISSION Manuscripts should be prepared according to the “Information for Authors” of the journal found at http://cis.ieee.org/component/content/article/7/131-ieee-transactions-on-au…. Submissions must be done through the IEEE TCDS Manuscript center: https://mc.manuscriptcentral.com/tcds-ieee. Please select the category “SI: Continual Unsupervised Sensorimotor Learning”. IMPORTANT DATES 6th January 2019 – Paper submission deadline 15th March 2019 – Notification for authors 31st May 2019 – Deadline revised papers submission 30th June 2019 – Final notification for authors 31st July 2019 – Deadline for camera-ready versions September 2019 – Expected publication date More information on Continual Unsupervised Sensorimotor Learning http://projects.au.dk/socialrobotics/news-events/show/artikel/special-issue… GUEST EDITORS Nicolás Navarro-Gerrero Aarhus University, Aarhus, Denmark nng(a)eng.au.dk Sao Mai Nguyen IMT Atlantique, Francenguyensmai(a)gmail.com Erhan Öztop Özyeğin University, Turkeyerhan.oztop(a)ozyegin.edu.tr Junpei Zhong National Institute of Advanced Industrial Science and Technology (AIST), Japanjoni.zhong(a)aist.go.jp ---- Nguyen Sao Mai nguyensmai(a)gmail.com Researcher in Cognitive Developmental Robotics http://nguyensmai.free.fr

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3-year PhD studentship at University of Strathclyde, Glasgow
by Shuzo Sakata 13 Mar '19

13 Mar '19

A fully funded 3-year PhD studentship is available to work with Dr Shuzo Sakata at the University of Strathclyde in Glasgow, UK. This PhD project concerns a large dataset of in vivo silicon probe recordings with optogenetic tagging from the mouse auditory system across age. By applying advanced statistical approaches, we aim to better understand how state-dependent and cell-type-specific information processing in the auditory system can change over multiple timescales. In this project, data analysis with computer programs (e.g., Python, MATLAB) is an essential component. A successful candidate should have or expect to have an Honours Degree at 2.1 or above (or equivalent) in Computational Neuroscience, Physics, Data Science, Computer Science, Statistics or related fields. During their PhD, they will also have an excellent opportunity to learn about in vivo experimental approaches as well as neurotechnology. In the first instance, candidates may send their application to Dr Shuzo Sakata (shuzo.sakata(a)strath.ac.uk) including a CV and cover letter, detailing their motivation for this particular PhD project and their career goal. -- Shuzo Sakata, Ph.D. Senior Lecturer in Circuit Neurophysiology Strathclyde Institute of Pharmacy and Biomedical Sciences University of Strathclyde 161 Cathedral Street, Glasgow G4 0RE, UK tel: +44-(0)141-548-2156, fax: +44-(0)141-552-2562 email: shuzo.sakata(a)strath.ac.uk The University of Strathclyde is a charitable body, registered in Scotland, number SC015263

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