- Comp-neuro - lists.cnsorg.org

postdoctoral position
by Obermayer, Klaus, Prof. Dr. April 6, 2018

April 6, 2018

Dear Moderator, can you please post this job announcement on the list? Thank you very much! Best regards Klaus Obermayer ----------------------------------------------------------------------------------------------------------------------------------------------------------- Postdoctoral Position in Computational Neuroscience Neural Information Processing Group, Fakultät IV, Technische Universität Berlin and Bernstein Center for Computational Neuroscience, Berlin, Germany Salary grade E13 (TV-L Berliner Hochschulen) Duration: max. 5 years Starting date: immediate Working field: The successful candidate is expected to join collaborative research projects at the interface of computational neuroscience and machine learning (decision making and reward based learning or neural dynamics). The position is also affiliated with the Bernstein Center for Computational Neuroscience Berlin (https://www.bccn-berlin.de/) and the candidate is welcome to participate in its scientific and training activities. Teaching responsibilities include the supervision of two tutorials per week during the semester associated with the courses taught by the Neural Information Processing Group. For more information about our current research projects see: http://www.ni.tu-berlin.de/. Requirements: Successfully completed university degree (Master, Diplom or equivalent) and doctoral degree in Computational Neuroscience, Computer Science or another MINT subject; very good knowledge of machine learning and Computational Neuroscience; experience in teaching (supervision of tutorials) is desirable; good command of the German and English language. How to apply: Please send your written application with the reference number (IV-178/18) and the usual documents to Technische Universität Berlin - Der Präsident - Fakultät IV, Institut für Softwaretechnik und Theoretische Informatik, FG Neuronale Informationsverarbeitung, Prof. Dr. Obermayer, Sekr. MAR 5-6, Marchstr. 23, 10587 Berlin or - preferably - by e-mail to klaus.obermayer(a)tu-berlin.de. Closing date: May 4th, 2018 To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities. Please send copies only. Original documents will not be returned.

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Conference: “Missing links in neuroscience: Bridging scales in theory and experiment”, June 5/6 2018, Bonn
by Jakob Macke April 6, 2018

April 6, 2018

Dear colleagues, We are happy to announce the 7th international caesar conference: “Missing links in neuroscience: Bridging scales in theory and experiment” / June 5th – 6th, 2018, at caesar Bonn. In addition to invited talks, the program will also include a poster-session and contributed talks which will be selected from submitted abstracts— deadline for submissions is May 1st. We especially encourage junior scientists to apply for contributed talks We will provide free childcare at the conference (subject to capacity limitations). Enquires about childcare should be addressed to Bettina.Bosse(a)caesar.de<mailto:Bettina.Bosse@caesar.de> Info and registration: www.caesarconference.com<http://www.caesarconference.com> Topic: Unraveling the principles by which neural circuits process information and guide behavior is one of the central problems of neuroscience. One of the main challenges is that neural information processing takes place on multiple temporal and spatial scales, ranging from subcellular processes in neurons and synapses up to the level of the behaving animal. Bridging these scales requires both experimental techniques which can monitor and probe the system at multiple levels of organization, as well as mathematical frameworks for interpreting experimental results and formulating testable theories. The caesar conference brings together scientists from experimental and theoretical neuroscience to discuss how observations and models of the nervous system at a multiple spatial and/or temporal scales can be integrated. We aim to foster discussions about how to bridge not only the relevant scales, but also how to link experimental data, numerical simulations and conceptual models. Invited speakers: Johann Bollmann Carlos Brody Andrea Bugalossi Eugenia Chiappe Mark Ellisman Rainer Friedrich Surya Ganguli Vivek Jayaraman Peter Jonas Judit Makara Hannah Monyer Eilif Muller Timothy O’Leary Manuela Schmidt Haim Sompolinsky Staci Sorensen Tim Vogels Claire Wyart Research center caesar (www.caesar.de<http://www.caesar.de>) is a center for neuroethology research operated by the caesar foundation, and is associated with the Max Planck Society. The organizing committee can be contacted via Bettina Bosse (bettina.bosse(a)caesar.de<mailto:bettina.bosse@caesar.de>). With best regards, Jakob Macke, Marcel Oberlaender, Bettina Schnell, Johannes Seelig Jakob Macke, TU Darmstadt and caesar Bonn www.mackelab.org<http://www.mackelab.org>

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PhD position in Mathematical Neuroscience at Inria Sophia Antipolis (France)
by Mathieu Desroches April 5, 2018

April 5, 2018

Dear all, We invite candidatures for a PhD position in the Inria MathNeuro Team <http://team.inria.fr/mathneuro> (Sophia Antipolis, France) on Multi-scale modeling of cortical spreading depression. We are looking for candidates with some notions of dynamical systems and neuronal modeling. The project will involve detailed biophysical modeling as well as model reduction and a mathematical analysis of reduced models (in particular their bifurcation and slow-fast structure). Familiarity with programming will be a strong point for the selection process of candidates. The project will be pursued in collaboration with the experimental lab of Massimo Mantegazza at the Molecular and Cellular Pharmacology Institute (IPMC, Sophia Antipolis, France). The deadline is April 15th, 2018. Applications are done online via the following webpage: https://jobs.inria.fr/public/classic/fr/offres/2018-00525 <https://jobs.inria.fr/public/classic/fr/offres/2018-00525>. For more informations on the project, feel free to email me. Best Regards, Mathieu Desroches. --------------------------------------------------------------------- Dr. Mathieu Desroches Research Scientist (Chargé de Recherche) MathNeuro Team <https://team.inria.fr/mathneuro/>Inria Sophia Antipolis - Méditerranée, France http://www-sop.inria.fr/members/Mathieu.Desroches/ <http://www-sop.inria.fr/members/Mathieu.Desroches/>

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6th Baltic-Nordic School on Neuroinformatics (BNNI 2018)
by Marja-Leena Linne April 3, 2018

April 3, 2018

6th Baltic-Nordic School on Neuroinformatics BNNI 2018 Understanding the Brain: from Neuroscience to Deep Learning Don't miss the extended application deadline: 12 April 2018: Application deadline (extended) 15 April 2018: Acceptance notification 11-13 June 2018: School See more information and applications at: web.lsmuni.lt/bnni2018/en<http://web.lsmuni.lt/bnni2018/en> Place: Ventspils University of Applied Sciences Inženieru 101, Ventspils Latvia Time: 11-13 June 2018 We invite advanced master students, doctoral students, and postdoctoral researchers to participate in the BNNI 2018 to be held at the Ventspils University of Applied Sciences, Ventspils, Latvia in June 2018. The course is interdisciplinary and covers modeling at different levels of organization of the brain. Additionally this year's training course is planned more diverse and will include also EEG/SEEG signal processing techniques, forward and inverse modeling of the brain and various aspects of deep learning algorithms. This school is the sixth 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). 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. Last year we had participants from 14 countries all over the world! Faculty includes: Marja-Leena Linne, Tampere University of Technology, Finland; The Human Brain Project Bruce Graham, University of Stirling, UK Daniel Wojcik, Nencki Institute of Experimental Biology, Warsaw, Poland Arnd Roth, University College London, UK Peter Jedlicka, NeuroScience Center, Goethe-University, Frankfurt, Germany Gaute Einevoll, UiO Department of Physics The Faculty of Mathematics and Natural Sciences, Norway Ausra Saudargiene, Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania Radu Ranta, CRAN, University of Lorraine, France Louis Maillard, CHRU Hôpital central - Nancy, CRAN, University of Lorraine, France Janis Hofmanis, Smart Technology Research Center, Ventspils University of Applied Sciences, Ventspils, Latvia and others. Venue The lectures will be held at the Ventspils University of Applied Sciences, Inženieru 101, Ventspils, Latvia. Practical arrangements There is a small tuition fee of 50 euros. The organizers will provide teaching materials, meals and coffee during the course. The participants are expected to cover their travel and health insurance expenses as well as lodging. Although Student accommodation will be available at a reduced cost. Ventspils University of Applied Sciences can provide a student dormitory rooms - 2 students per room, 2 rooms per block. One block costs 51 EUR (12,75 EUR for one person per night). We are looking forward to welcome you at the BNNI 2018 in Ventspils, Latvia!

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[journals] CfP: Topical Issue on Deep Learning and Neural Systems in Robotics
by Di Nuovo, Alessandro April 3, 2018

April 3, 2018

CALL FOR PAPERS Deep Learning and Neural Systems in Robotics Topical issue in PALADYN. Journal of Behavioural Robotics DESCRIPTION Deep Learning can equip robots with a new level of skill by utilizing insights from neuroscience. These new developments have impact on various types of robots, from companion robots to driver assistance in semi-autonomous vehicles. Deep Learning can enable unprecedented quality of results in tasks such as object detection, localization, communication and behavior learning. Training deep neural networks typically requires GPU workstations or high-performance computing servers. It may require huge amounts of data or innovative training schemes. These issues indicate only some of the special challenges when utilizing deep networks in robotics. Within this context the topics of this special issue include, but are not limited to: - Applications of deep learning - Software and hardware systems - Data acquisition for deep learning - Neural information processing systems - Deep learning training schemes and paradigms - GPU computing for deep learning - Software engineering for deep learning - Neural networks on low powered devices - Human robot interaction and communication - Cognitive, developmental and evolutionary robotics IMPORTANT DATES The deadlines for the submission are as follows: 15 June 2018 (publication in 2018) 15 December 2018 (publication in 2019) Notification of acceptance will be communicated as we progress with the review process. Individual papers will be reviewed and published online on an ongoing basis. HOW TO SUBMIT Authors are requested to submit their full version of papers to the Topical Issue complying also the general scope of the journal. The submitted papers will undergo the standard peer-review process before they can be accepted. All submissions to the Topical Issue must be made electronically via the journal online submission system Editorial Manager (http://www.editorialmanager.com/paladyn/) When entering your submission via online submission system please choose the option "TI on Deep Learning and Neural Systems in Robotics". All manuscripts will undergo the standard peer-review process (single blind, at least two independent reviewers). Submissions for the Topical Issue are now open. Contributors to the Topical Issue will benefit from: NO submission and publication FEES Free language assistance for authors from non-English speaking regions Fast online publication of articles (continuous publication model) Open Access to your article for all interested readers Indexation in SCOPUS Long-time preservation (articles archived in Portico) Extensive post-publication promotion GUEST EDITORS Stephan K. Chalup, University of Newcastle, Australia Alessandro Di Nuovo, Sheffield Hallam University, UK Alan D. Blair, University of New South Wales, Australia Aydan M. Erkmen, Middle East Technical University, Ankara, Turkey Neil Vaughan, Royal Academy of Engineering / University of Chester, UK We are looking forward to your submission. If you have any question, please contact us at Stephan.Chalup(a)newcastle.edu.au or Justyna.Zuk(a)degruyteropen.com.

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2018 Image Based Biomedical Modeling (IBBM) Course in Park City, Utah
by Rob MacLeod April 3, 2018

April 3, 2018

Park City Summer Course in Image Based Biomedical Modeling (IBBM) July 16-26, 2018 Newpark Resort in Park City, Utah ibbm.sci.utah.edu <http://ibbm.sci.utah.edu/> Contact: ibbm(a)sci.utah.edu <mailto:ibbm@sci.utah.edu> The fellowships have been announced for the new edition of the Image Based Biomedical Modeling (IBBM) <http://ibbm.sci.utah.edu/> Summer Course in July, 2018 and now it is time to fill the rest of the class for this year. As always, capacity is limited so please do not delay too long to be assured of a spot. Registration Deadline: April 16, 2018 Registration fee: $2,050 (includes room, all breakfasts and lunches, and social events) Travel: Arrive Sunday, July 15 and depart Friday, July 27. Please visit the web site for more details or contact me directly (macleod(a)sci.utah.edu <mailto:macleod@sci.utah.edu>). For Graduate Students, Postdocs, Faculty, and Industry. We especially welcome participants who are underrepresented in health-related sciences. This course creates field-specific expertise and hands-on experience in bioelectric or biomechanical problems that arise in current biomedical research and clinical practice. It provides training in numerical methods, image analysis, and computational tools necessary to carry out end-to-end, image-based, subject-specific simulations in bioelectricity or biomechanics, using freely available software. Organizers: Rob Macleod, Jeff Weiss, and Ross Whitaker Scientific Computing and Imaging (SCI) Institute Supported by the National Institutes of Health (NIH), National Institute of General Medical Sciences (NIGMS) Best, The IBBM Team

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Fully funded PhD in Behavioral Neurophysiology at Sapienza University of Rome
by Stefano Ferraina April 3, 2018

April 3, 2018

A fully funded 3-year PhD position beginning November, 2018 is available in the PhD School of Neuroscience and PhD program in Behavioral Neuroscience <https://goo.gl/c644> at Sapienza University of Rome. The call is open to non-resident researchers only. The selected candidate will be involved in the activity of the *Curriculum in Behavioral Neurophysiology* in the lab of one of the faculty members listed here <https://sites.google.com/a/uniroma1.it/dottorato-in-neuroscienze-del-compor…> . We are looking for excellent candidates with Neurobiology, Physics, or Mathematics background. Prior training and experience in neuroscience and neural data analysis is desirable. The successful candidate will be fully founded (€ 19.800,00 per year). For further information please email to: stefano.ferraina(a)uniroma1.it Deadline for completing the online application is April 23 2018 ----- *Stefano Ferraina, MD PhD* Full Professor of Neurophysiology Dept Physiology and Pharmacology Sapienza University Piazzale Aldo Moro 5, 00185 Rome ITALY ph +39 0649910306; fax +39 0649690236

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KogWis2018 Conference Call
by Constantin Rothkopf April 2, 2018

April 2, 2018

KogWis 2018: 14th Biannual Conference of the German Cognitive Science Society Centre for Cognitive Science, Technische Universitaet Darmstadt S1|05: Hoersaal 122, Maschinenhaus, Magdalenenstrasse 12 Darmstadt, Germany, September 3-6, 2018 http://www.tu-darmstadt.de/kogwis2018 KogWis 2018 will be held in Darmstadt, Germany, and invites submissions of extended abstracts on current work in cognitive science. Generally all topics related to cognitive science are welcome. Contributions that address the focus of this meeting, that is, computational cognitive science are particularly encouraged. Computational approaches to cognitive science emphasize formalizing adaptive and intelligent behavior and have strong ties to machine learning and artificial intelligence. Confirmed keynote speakers: Frances Egan (Rutgers University) Noah Goodman (Stanford University) Mate Legyel (University of Cambridge) Iris van Rooij (Radboud University Nijmegen) Christopher Summerfiled (University of Oxford) Call for Presentations and Posters We call for extended abstracts for oral presentations and for posters. Submissions should be written in English, and be formatted according to the formatting guidelines below. Contributions must be submitted by 20 April 2018 via the EasyChair submission webpage: https://easychair.org/conferences/?conf=kogwis2018 All submissions will be peer-reviewed by members of the review committee. Acceptance will be based on novelty of research, significance of results, and quality of presentation. Accepted abstracts will be published in the online conference proceedings. All accepted contributions must be presented at the conference. So at least one author must register by the early registration deadline or the contribution will not be included in the program. The best submissions to KogWis 2018 will be selected for oral presentation at the conference. Important Dates Main conference: 03 - 06 September 2018 Submission deadline for extended abstracts: Friday, 20 April 2018 Notification of acceptance (presentations or posters): Monday, 28 May 2018 Early registration deadline: Monday, 02 July 2018 PhD Student Workshop Deadline: Monday, 23 July 2018 We are looking forward to meeting you in Darmstadt, Constantin Rothkopf, Dirk Balfanz, Ralf Galuske, Frank Jaekel, Kristian Kersting, Jakob Macke, Betty Mohler

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DEADLINE APPROACHING -- InSpire - New Insights on Complex Neural Dynamics - 6-8 June - Paris
by A. Torcini March 30, 2018

March 30, 2018

The deadline for the workshop is approaching InSpire - New Insights on Complex Neural Dynamics to be held on June, 6th-8th, 2018, at Institut d'Etudes Avancés - Maison Internationale de la Recherche at Neuville-sur-Oise (30 minutes from Paris with public transports) https://inspire2018parisseine.wordpress.com/ The workshop will represent an opportunity to bring together views from experimental and computational neuro-scientists as well as experts in the dynamics of complex systems. A common aim is to improve the knowledge of the mechanisms underlying neural activity in the brain. For registration, poster presentation and more details see here: https://inspire2018parisseine.wordpress.com/about/ deadline for registration: 20th April, 2018. The Organizers, Bruno Cessac, Antonio Politi, Marc Timme, and Alessandro Torcini

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Two Junior Women Canadian Research Chair positions, Faculty of Engineering, Sherbrooke, Québec, Canada
by Jean Rouat March 29, 2018

March 29, 2018

The faculty of engineering from Université de Sherbrooke, Québec, Canada is opening 2 Junior Women Canadian research chair positions. The research application domains are quite large and described on the web page: https://monemploi.sofe.usherbrooke.ca/sofe-service/f?p=103:40:0::NO:RP,40:P… My department (Electrical and Computer Eng.) is interested in recruiting candidates with expertises in neuroinformatics, neural networks and/or machine learning in relation with one of the domains described on the official announcement: neuroinformatics algorithms for neural networks/machine learning for embedded systems with low energy requirements, AI for transportation and mobility, neuronal prosthesis, etc. The deadline to submit to the dean of the faculty is 20 April 2018. Keywords: ———— Neural networks, Spiking neurons, Neurocomputational systems, Learning, Deep Learning, Artificial Intelligence, Human-machine interactions. All the best. Jean Rouat, Prof., coord. IGLU, http://iglu-chistera.github.io Université de Sherbrooke Université de Montréal Member of the centre for Interdisciplinary research Professeur titulaire, Professeur associé in Music Media and Technology NECOTIS: Computational Neurosciences Vision, neuroscience Lab McGill Schulich School of Music and Intelligent Signal Processing FAS- Sciences biologiques 527 Sherbrooke St. West Faculté de génie, GEGI, C1-3108 90 avenue Vincent-d’Indy Montreal, Qc, 2500 boul. de l'université Montréal, Qc, Canada, H3A 1E3 Sherbrooke, Québec Canada, H3C 3J7 Canada, J1K 2R1 Tél.: +1(819)-821-8000 ext. 63864 http://www.gel.usherbrooke.ca/rouat http://www.gel.usherbrooke.ca/necotis http://www.usherbrooke.ca/gelecinfo/fr/pers/profs/rouj-fr/ Jean.Rouat(a)umontreal.ca ou Jean.Rouat(a)usherbrooke.ca Publications (not updated): https://www.gel.usherbrooke.ca/rouat/publications/publiDeJRouat.html

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