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Dynamics Days XL: Nice, France, 24- 28 August 2020
by Mathieu Desroches 29 Nov '19

29 Nov '19

We are pleased to invite you to the 40th Dynamics Days Europe Conference, which will be held in Nice, France, on the 24-28 August 2020. Dynamic Days Europe is a major international conferences providing a forum for developments in the applications of and theory for dynamics. The themes of the meetings include Physics, Biology, Theoretical Dynamical Systems, Complex Systems, and Numerical Methods. The list of plenary speakers include: * Sylvain Crovisier (Université Paris-Sud) * Bard Ermentrout (University of Pittsburgh) * Veronica Grieneisen (Cardiff University) * Björn Hof (IST Austria) * Chris Jones (University of North Carolina at Chapel Hill) * Alejandro Maass (University of Chile) * Antonio Politi (University of Aberdeen) * Katharina Schratz (Heriot-Watt University) * Anna von der Heydt (Universiteit Utrecht) * Lai-Sang Young (Courant Institute of Mathematical Sciences New York University) All information regarding the conference will be published on our website https://dynamicsdays2020.univ-cotedazur.fr <https://dynamicsdays2020.univ-cotedazur.fr/> We are currently soliciting Minisymposia proposals (deadline on the 20th of December 2019), which can be submitted on our website, or by filling out this form https://dynamicsdays2020.univ-cotedazur.fr/Minisymposium_proposal/ <https://dynamicsdays2020.univ-cotedazur.fr/Minisymposium_proposal/> We invite you to follow us on Twitter @dyndays_2020, and to use the hashtag #DDaysXL. Please disseminate this advert to potential participants. We look forward to hosting you in Nice! The organising committee: Daniele Avitabile, Stéphane Barland, Mathieu Desroches, François Gautero, Sergey Nazarenko, Elisabeth Pécou

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PhD position in computational neuroscience/brain physics in Oslo Norway
by Gaute Einevoll 28 Nov '19

28 Nov '19

PhD-position in Computational Neuroscience/Brain Physics in Oslo, Norway Applications are invited for a position as PhD Research Fellow available at the Department of Biosciences in the research group of Professors Gaute Einevoll and Marianne Fyhn at CINPLA. The position is funded by the UiO:Life Science Initiative, Convergence Environments to the project ”MultiModal Mental Models: converging approaches from genomes to mental illness and interplay with psychosocial stressors (4MENT)”<https://www.uio.no/english/research/strategic-research-areas/life-science/r…>. The successful candidate will work on model-based exploration of cortical neuron and neural network models, in particular effects of genetic variants on neural functions. The modeling work will be carried out in collaboration with statistical geneticists as well as researchers working with stem cells and brain imaging. The goal of the project is to build models for mental phenotypes that are relevant in schizophrenia and bipolar disorder. The candidate will work in the cross-disciplinary environment Center for Integrative Neuroplasticity (cinpla.org) a research center set up by the Faculty of Mathematics and Natural Sciences. Presently, CINPLA includes about twenty biologists, physicists, and computer scientists co-localised in the building of Department of Biosciences at UiO. The candidate will develop and use state-of-the-art computer simulation packages and national supercomputer resources. The fellowships will be for a period of 3 years, with no compulsory work, or for a period of 4 years, with 25 % compulsory work at the UiO:LifeScience. Anticipated start date is Winter/Spring 2020. The research fellow must take part in the Faculty’s appproved PhD program and is expected to complete the project within the set fellowship period. Requirements: * Master’s degree in physics, mathematics, or computer science. The Master thesis should preferably have been done within computational neuroscience, but also candidates with master projects in other branches of computational science may be considered. * Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system. * The candidate must have demonstrated strong skills in developing codes for scientific computing. * A good command of English is required. For more information, including on how to apply, see: https://www.jobbnorge.no/en/available-jobs/job/178653/phd-research-fellowsh… Deadline for application: December 18th 2019 For questions, please contact professor Gaute T. Einevoll, gaute.einevoll(a)fys.uio.no. ********************************************** Professor Gaute T. Einevoll Faculty of Science and Technology Norwegian University of Life Sciences, 1432 Aas, Norway; Department of Physics, University of Oslo, Oslo, Norway Ph. +47-64965433, Mobile: +47-95124536 email: Gaute.Einevoll(a)nmbu.no, web: compneuro.nmbu.no, cinpla.org

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Call for Paper: [Information] Special Issue--"Advances in Mobile Gaming and Games-based Leaning" （More than 15 scholars agreed to submit）
by Blink Yu 27 Nov '19

27 Nov '19

Special Issue: Advances in Mobile Gaming and Games-based Leaning Deadline for manuscript submissions: 31 January 2020 Website and Planned Papers:https://www.mdpi.com/journal/information/special_issues/MobileGaming… Guest Editor: Dr. Antonio Coelho Faculdade de Engenharia, Universidade do Porto, 4200-465 Porto, Portugal Dr. Carlos Vaz de Carvalho Instituto Superior de Engenharia do Porto, Instituto Polit?cnico do Porto, 4200-072 Porto, Portugal ======================= Dear Colleagues, We cordially invite you to submit a manuscript for consideration and possible publication in a Special Issue on "Advances in Mobile Gaming and Games-based Leaning" to be published in an EI, ESCI and Scopus-indexed open access journal Information (http://www.mdpi.com/journal/information) The submission manuscript deadline is 31 January 2020. For more details, please visit the website: https://www.mdpi.com/journal/information/special_issues/MobileGaming_Gamesb… You may share this invitation with your team members and colleagues; co-authors are most welcome. Please let me know within a month or as soon as possible if you and your colleagues are interested in submitting a manuscript for this special issue. If more time is needed, please feel free to tell us (information(a)mdpi.com) Your contribution would be most welcome. Information is fully open access. Open access (unlimited and free access by readers) increases publicity and promotes more frequent citations, as indicated by several studies. Open access is supported by the authors and their institutes. An Article Processing Charge (APC) of CHF 1000 currently applies to all accepted papers. You may be entitled to a discount if you have previously received a discount code or if your institute is participating in the MDPI Institutional Open Access Program (IOAP), for more information see: http://www.mdpi.com/about/ioap. For further details on the submission process, please see the instructions for authors at the journal website (http://www.mdpi.com/journal/information/instructions) We hope this topic is of interest to you and look forward to collaborating with you in the near future. Kind regards, Blink Yu Section Managing Editor --- Dear Colleagues, Education is evolving to overcome new challenges related to the unique competencies of the professionals of the future and the requirements of a new generation that is immersed in the digital media world from birth. Digital Games is one of the media that have the potential to reach these two objectives. Game-based learning is the scientific area that focuses on the development of games that are designed over specific learning objectives. From thoroughly crafted educational games to the use of gamification, the new era of the school will be digital. However, we should not forget tangential learning with the use of entertainment games. Mobile games are also leveraging a large community of gamers that relies on the specifics of mobile technology, such as ubiquity and pervasiveness. The solutions can leverage informal learning, literacy, science communication, and citizenship, among a vast area of applications. The aim of this Special Issue is to disclose the new advances in game-based learning and mobile games that can enhance the effectiveness and outreach of learning objects. Topics of interest include but are not limited to the following: Game-based learning; Serious games; Mobile games; Pervasive games; Learning models and practices with the use of games; New technologies for game-based learning: Virtual and augmented reality; New interaction devices, toys, and playthings; Simulations; 3D rendering technologies; Game engines and development tools; Location-based games; Artificial intelligence; Educational games analytics; Assessment and evaluation of educational games; User experience design; The psychology of educational games; Gender and age issues; Social and collaborative games; Security and confidentiality in educational games; Case studies in educational games; Game development for mobile devices. Dr. Antonio Coelho Dr. Carlos Vaz de Carvalho Guest Editors -- Mr. Blink Yu Managing Editor E-Mail: blink.yu(a)mdpi.com Skype: live:c91693ac8277e1f0 -- MDPI Wuhan Office No.6 Jingan Road, 430064 Wuhan, China MDPI Postfach, CH-4020 Basel, Switzerland http://www.mdpi.com -- Disclaimer: MDPI recognizes the importance of data privacy and protection. We treat personal data in line with the General Data Protection Regulation (GDPR) and with what the community expects of us. The information contained in this message is confidential and intended solely for the use of the individual or entity to whom they are addressed. If you have received this message in error, please notify me and delete this message from your system. You may not copy this message in its entirety or in part, or disclose its contents to anyone.

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Research Fellow in Deep Reinforcement Learning for Machine Theory of Mind @ Oxford Brookes
by Fabio Cuzzolin 26 Nov '19

26 Nov '19

The Visual Artificial Intelligence Laboratory at Oxford Brookes University, led by Professor Fabio Cuzzolin, is seeking a Research Fellow in Deep Reinforcement Learning for Machine Theory of Mind, to be appointed asap, on a 30-month contract. The deadline for application is 16th December 2019. Salary: £31,866 rising annually to £34,804. The Research Fellow will lead the Lab’s efforts within the Leverhulme Trust-funded Research Project Grant “Theory of mind at the interface of neuroscience and AI”, in partnership with Prof Barbara Sahakian of the Department of Psychiatry of the University of Cambridge, a leading figure in the field of Clinical Neuropsychology and the President of the International Neuroethics Society ( https://www.bcni.psychol.cam.ac.uk/directory/barbara-sahakian) The project aims to provide machines with ‘theory of mind’ capabilities, i.e., the ability to guess the reasoning processes and intentions of other intelligent agents. It will explore the possibility of creating flexible theory of mind simulations based on the concept of reconfigurable deep networks, trained in a reinforcement learning setting, as well as refine and test new cognitive models for these functionalities in the human brain. Similarities and differences with inverse reinforcement learning will also be investigated. The Visual Artificial Intelligence Laboratory ( http://cms.brookes.ac.uk/staff/FabioCuzzolin/) is of the top research groups in the world in deep learning for action detection, and is heavily investing in the topic of predicting future behaviour and events. The team designed in 2017 the first system yet able to localise multiple actions on the image plane in real time, and our algorithms regularly compete for the best detection accuracies. Former PhD students have moved on to postdoc positions at Oxford, Stanford and ETH Zurich. The Laboratory is currently running on a budget of almost £2 million, with seven live funded projects spanning computer vision, machine learning, general AI, autonomous driving, surgical and mobile robotics, AI for healthcare, decision making and uncertainty theory. We are also significantly involved in the new £1.9 Oxford Brookes AI Incubator (AIDA), and in the University’s Ethical AI Institute. For an overview of our research themes and projects, please consult http://cms.brookes.ac.uk/staff/FabioCuzzolin/files/VAIL.pdf You will join a vibrant and fast growing team projected to comprise 25+ people in 2019-20. You will be working on a network of cutting edge 4-GPU and 8-GPU workstations. The Lab collaborates with various companies including Huawei, Leonardo, Cisco, Ocado, Cortexica and Oxbotica, and is in the process of spinning off a company in the area of action detection. We closely work with Cambridge University’s Neuroscience, as well as Oxford University’s Engineering and Computer Science Departments, and have established links with IIT Bombay, Harvard, Seoul National, the Fraunhofer Institute, and numerous other European partners. You are encouraged to contact Prof Cuzzolin at fabio.cuzzolin(a)brookes.ac.uk for more information and informal feedback on your application. To formally apply, please follow the instructions provided here: https://www.jobs.ac.uk/job/BWZ564/research-fellow-in-reinforcement-learning…

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Director search for SCI Institute, University of Utah
by Rob MacLeod 25 Nov '19

25 Nov '19

The University of Utah seeks applications for the Director of the Scientific Computing and Imaging (SCI) Institute <http://www.sci.utah.edu/> The University of Utah is a Carnegie Research I Institution and member of the Association of American Universities (AAU); the SCI Institute is a trans-college, research-focused partnering entity at the University of Utah consisting of faculty from 4 academic departments (School of Computing, Biomedical Engineering, Electrical Engineering, and Mathematics) and 2 colleges, students, and staff (185 current personnel). The SCI Institute’s vision is to see applied computing bring transformation across disciplines in a way that benefits the University of Utah and society at large. Its mission is to bring together excellence in diverse domains applied to multidisciplinary and interdisciplinary problems of societal importance. The Institute accomplishes these goals through the collaborative development, assembly, and/or application of applied scientific and data computing, imaging, and visualization tools. Over more than two decades, the SCI Institute <http://www.sci.utah.edu/> has established itself as an internationally recognized leader in visualization, scientific and biomedical computing, and image analysis applied to a broad range of challenging problems. For example, the SCI Institute is ranked by CSRankings (http://csrankings.org <http://csrankings.org/>) as housing the top visualization group internationally. Alongside its research goals is a passion to educate students and staff. The SCI Institute is proud to have supported over 400 graduate students and postdoctoral fellows and nearly 100 undergraduates to achieve an education at the cutting-edge of research. SCI graduates move into faculty positions with universities internationally and also become innovators with companies such as Apple, Exxon Mobil, Nvidia, Google, Intel, Boston Scientific, Orthogrid, Philips Medical, and Medtronic. Additional information about the Institute and current faculty can be found at scidirectorsearch.sci.utah.edu <http://scidirectorsearch.sci.utah.edu/> For more information, please contact Rob MacLeod (macleod(a)sci.utah.edu <mailto:macleod@sci.utah.edu>)

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Postdoc position: Institute of Neuroinformatics, ETH and UZH Zurich
by Hazem Toutounji 25 Nov '19

25 Nov '19

We seek a postdoctoral researcher with deep interest in human reinforcement learning and decision-making to work on the newly funded project: *Learning and Exploration under Perceptual and Value Uncertainty* Organisms often face the challenge of navigating a world riddled with many sources of uncertainty, be it ambiguous sensory inputs or unreliable behavioral outcomes. Most existing research only considered either of these two sources of uncertainty in the contexts of perceptual decision making for the former, and reinforcement learning and value-based decision making for the latter. The goal of the project is to develop a unifying experimental and theoretical account of human adaptive behavior subject to both perceptual and value uncertainty. The post of 1-year is at the Institute of Neuroinformatics (ini.uzh.ch <http://www.ini.uzh.ch>) of the University of Zurich and ETH Zurich, in close collaboration with Rafael Polania’s Decision Neuroscience Lab ( decision.ethz.ch <http://www.decision.ethz.ch>). *Preferable starting date:* February 1st, 2020. The post involves psychophysics and data-driven computational modelling. Candidates should have a PhD in cognitive science, psychology, neuroscience, computational science, or a related field. Preference will be given to applicants with prior experience in designing and conducting psychophysics experiments, in addition to having strong programming (MATLAB or python), computational and statistical skills. *How to apply:* Please write to Hazem Toutounji (hazem(a)ini.ethz.ch) using the email as a cover letter, preferably before December 9th, 2019. Later applications will be considered until the post is filled. The application should include CV, list of publications and preprints, and contact information of 1-3 potential referees, in addition to a short summary (max. 300 words) of most relevant paper, describing your contribution. -- Dr. rer. nat. Hazem Toutounji Institute of Neuroinformatics University of Zurich and ETH Zurich Winterthurerstrasse 190 CH-8057 Zurich, Switzerland office: +41-44-635-3063 twitter: @HazemToutounji

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University of Sussex funded PhD positions: Leverhulme Doctoral Scholarship Programme, “From Sensation and Perception to Awareness”
by Miguel Maravall 25 Nov '19

25 Nov '19

Dear colleagues, We are inviting applications for our interdisciplinary Leverhulme Doctoral Scholarship Programme at the University of Sussex, “From Sensation and Perception to Awareness”, for entry in September 2020. Could you please kindly distribute to interested students. Thank you Best wishes Miguel Maravall FUNDED PHD POSITIONS AT THE UNIVERSITY OF SUSSEX The University of Sussex invites applications for PhD studentship awards within its Leverhulme Doctoral Scholarship Programme entitled “From Sensation and Perception to Awareness”, directed by Jamie Ward and Anil Seth. The prestigious Sussex Leverhulme Trust Doctoral Scholarship Programme<https://www.findaphd.com/common/clickCount.aspx?theid=3783&type=185&url=htt…> brings together doctoral researchers from different disciplines to advance our understanding of the interactions between sensing, perception, and awareness in humans, animals, and machines. The Programme will support an intake of up to NINE students starting in September 2020. PhD students will be registered within one of the participating schools (Life Sciences, Informatics, Psychology, Media Film & Music, and Brighton and Sussex Medical School). The closing date for applications is January 31st, 2020. For further details, including how to apply, see… https://www.findaphd.com/phds/program/studentships-available-from-the-unive…

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COSYNE 2020: Registration; Travel grants; Cosyne Tutorials
by Tomas Hromadka 25 Nov '19

25 Nov '19

==================================================== Computational and Systems Neuroscience 2020 (Cosyne) MAIN MEETING 27 February - 01 March 2020 Denver, Colorado WORKSHOPS 02 March - 03 March 2020 Breckenridge, Colorado www.cosyne.org ==================================================== IMPORTANT DATES Online registration is now open. Travel grant submission is now open. Travel grant application deadlines 31 December 2019, 11.59PM PST (*Undergraduate* Travel Grant) 14 January 2020, 11.59PM PST (Other travel grants) TAs wanted for a tutorial session. ----------------------------------------------- TRAVEL GRANTS ----------------------------------------------- Applications are now open for travel grants to attend the conference. Each awardee will receive at least $500 to help offset the costs of travel, registration, and accommodations. Larger grants may be available to those traveling from outside North America. Special consideration is given to scientists who have not previously attended the meeting, under-represented minorities, students who are attending the meeting together with a mentor, undergraduate students, and authors of submitted Cosyne abstracts. We currently offer five travel grant programs for New Attendees, Presenters, Mentors, Undergraduates, and Childcare travel grants. For details on applying, see Cosyne.org -> Travel grants. ---------------------------------------------------- COSYNE TUTORIALS ---------------------------------------------------- Cosyne 2019 will host two tutorial sessions on 27 February 2020. For details on Cosyne tutorials please visit Cosyne.org -> Tutorials 20. Tutorial 1: Cosyne 2020 Tutorial session sponsored by the Simons Foundation Topic: Normative approaches to understanding neural coding and behavior Speaker: Ann Hermundstad Ann Hermundstad is a Group Leader in the Computation & Theory research core at Janelia Research Campus. She studies how the brain creates and uses adaptive sensorimotor representations to generate flexible behavior. Her lab uses a combination of theory, modeling, and data analysis to explore how neural circuits can do this efficiently and flexibly, and works in close collaboration with experimentalists to test these ideas in biological systems. *We are recruiting TAs for the tutorial session. If interested, please see Cosyne.org -> Tutorials 20 for details on how to apply.* Tutorial 2 Topic: Neurodata without Borders Tutorial NWB is a data standard for neurophysiology, providing neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data. Navigating the Allen Brain Observatory ---------------------------------------------------- COSYNE ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. For details on workshop proposals please see below or visit Cosyne.org -> Workshops. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. This year we would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. COSYNE INVITED SPEAKERS Matthew Botvinick (Deepmind/Princeton) Megan Carey (Champalimaud) John Cunningham (Columbia) Gul Dolen (Hopkins) Rainer Friedrich (FMI Basel) Sam Gershman (Harvard) Lisa Giocomo (Stanford) Christopher Harvey (Harvard) Mehrdad Jazayeri (MIT) Wei Ji Ma (NYU) Hendrikje Nienborg (Tuebingen/NIH) Linda Wilbrecht (Berkeley) Marta Zlatic (Janelia) ORGANIZING COMMITTEE General Chairs: Eugenia Chiappe (Champalimaud) and Christian Machens (Champalimaud) Program Chairs: Anne-Marie Oswald (U Pittsburgh) and Srdjan Ostojic (Ecole Normale Superieure Paris) Workshop Chairs: Catherine Hartley (NYU) and Blake Richards (McGill) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Robert Wilson (U Arizona) Diversity Chairs: Eva Dyer (Georgia Tech, Emory) and Eric Shea-Brown (U Washington) Publicity Chair: Adam Calhoun (Princeton) Development Chair: Michael Long (NYU) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ---------------------------------------------------- COSYNE MAILING LISTS ---------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details.

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Postdoctoral Researcher position at U Goettingen, Campus Institute for Dynamics of Biological Networks
by von Behren, Christina 22 Nov '19

22 Nov '19

Dear list, We would like to draw your attention to the postdoc opportunity below: The Department of Data-driven Analysis of Biological Networks at the Campus Institute for Dynamics of Biological Networks at the Georg-August-Universität Göttingen invites applications for a position as Postdoctoral Researcher (all genders welcome) This position is available starting from April 1st, 2020. It is a full time position with a limited contract of 3 years and the possibility of extension. Salary and working hours will be according to the German grade 13 TV-L (100%, currently 39.80 hours per week). The position will be associated with the group of Prof. Michael Wibral at the Campus Institute for Dynamics of Biological Networks. We are recruiting a Postdoc for the interdisciplinary research project "Deep learning techniques for association studies of transcriptome and system dynamics in tissue morphogenesis" funded by the Ministry for Science and Culture of Lower Saxony within the research initiative Niedersächsisches Vorab "Big Data in the Life Sciences of the Future". The project aims for establishing the fundamental principles for generating tools for the identification of individual cells that are key to the dynamics of embryonic development via the automation of digital, dynamic tissue reconstruction from large-scale live imaging data and the use of local information dynamics. We are looking for candidates with an excellent PhD in physics, mathematics, computer science or a closely related field, who are committed to pursuing a career in research. The successful applicant will participate in research on the real-time application of novel information theoretic measures applied to imaging data from developing embryonic tissue. The ideal candidate should have excellent skills in scientific writing, experience with the application of information theory to biological data, and should have demonstrated her/his ability to work independently. Coding skills in a language relevant to data analysis (e.g. Python, Julia, R, Scala, Java) are considered as an advantage. We offer the opportunity to become a member of a vibrant community dedicated to innovative research and teaching at the frontier of the exact and biological sciences, and to connect to the latest developments in information theory, including partial information decompositions. The Göttingen Campus is a leading center of biophysics and neuroscience in Europe hosting numerous internationally renowned research institutions, including the University and its Medical Center, the three life science Max Planck Institutes, the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience (BCCN) Göttingen. The Campus Institute for Dynamics of Biological Networks (CIDBN) is a newly founded transdisciplinary institute. Its mission is to foster frontier research at the border of the exact and biological sciences and to develop advanced mathematical and computational concepts for the analysis of biological networks. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference. Please send your e-mail application, preferably in one single PDF-document, including a letter of interest, your curriculum vitae with a list of publications, copies of your certificates and contact information of at least two references by December 31st, 2019 to e-mail address bianca.spitalieri(a)biologie.uni-goettingen.de<mailto:bianca.spitalieri@biologie.uni-goettingen.de> (Subject: PostDoc and ID). Georg-August-Universität Göttingen, Campus Institute for Dynamics of Biological Networks, Department of Data-driven Analysis of Biological Networks, Mrs Bianca Spitalieri, Kellnerweg 6, 37077 Göttingen. If you have any questions, please contact Prof. Dr. Michael Wibral, via e-mail: michael.wibral(a)uni-goettingen.de<mailto:michael.wibral@uni-goettingen.de>. Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Information General Data Protection Regulation (GDPR) Please see http://www.uni-goettingen.de/de/305402.html?cid=14701 Kind regards, Christina von Behren ------ Campus Institute for Dynamics of Biological Networks Bernstein Centre for Computational Neuroscience Goettingen University of Goettingen Postal address: Max Planck Institute of Experimental Medicine Hermann-Rein-Str. 3 37075 Goettingen Germany Phone: +49-(0)551-39-26674

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Postdoc/PhD position: Biologically inspired DNN for neuronal and behavioral analyses.
by Luczak, Artur 22 Nov '19

22 Nov '19

Dear All, Our lab seeks highly motivated individuals with strong computational backgrounds to work at the interface of neuroscience and machine learning. We are especially interested in application of deep neural networks to improve our understanding of neuronal data, and application of recent neuroscience findings to improve performance of deep neural networks. In our lab we also record activity of hundreds of neurons in normal and epileptic animals, and successful candidate is welcome to participate in those projects. Preferred candidate should have strong background in modeling neurons and networks, and should be very familiar with models of synaptic plasticity (e.g. BCM). Our lab at the Canadian Centre for Behavioural Neuroscience in Lethbridge is located in the sunniest area of Canada and next to scenic Rocky Mountains. For more information please contact: Artur Luczak (Luczak(a)uleth.ca) Relevant papers from our lab: Ryait et al. PLoS Biology 2019: https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.30005… Neumann et al. Brain 2017 http://people.uleth.ca/~luczak/papers/Luczak_Brain2017.pdf Luczak et al. Nature Rev Neurosci. http://people.uleth.ca/~luczak/papers/Luczak_nrn2015final.pdf Best, Artur http://lethbridgebraindynamics.com/artur_luczak

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Postdoc position at the SimLab Neuroscience, Juelich, Germany
by Abigail Morrison 21 Nov '19

21 Nov '19

Dear colleagues, we have a postdoc position available in the SimLab Neuroscience, Juelich Research Centre, Germany. We are looking for candidates with a proven track record in developing scientific software who are interested in developing an HPC-amenable neuronal simulator and engaging with the neuroscience community. For a full description and details of how to apply, please see the announcement on our website: https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2019-415-E… All the best, Abigail Morrison -- Prof. Dr. Abigail Morrison IAS-6 / INM-6 / SimLab Neuroscience Jülich Research Center & Institute of Cognitive Neuroscience Ruhr-University Bochum http://www.fz-juelich.de/inm/inm-6 http://www.fz-juelich.de/ias/jsc/slns http://www.ikn.psy.ruhr-uni-bochum.de Office: +49 2461 61-9805 Fax # : +49 2461 61-9460 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke 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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Neurobiology Events at EMBL Heidelberg in 2020
by Julie Heinecke 21 Nov '19

21 Nov '19

The EMBL is one of the world’s leading research institutions, and Europe’s flagship laboratory for the life sciences. We have an extensive course and conference programme, with many multiple related to neurobiology taking place at EMBL Heidelberg, Germany in 2020. Please see our events below. 8 Mar - 11 Mar 2020 EMBL Conference: Advances in Stem Cells and Regenerative Medicine https://www.embl.de/training/events/2020/STM20-01/index.html <https://www.embl.de/training/events/2020/STM20-01/index.html> 15 Mar - 18 Mar 2020 EMBO | EMBL Symposium: Inter-Organ Communication in Physiology and Disease https://www.embo-embl-symposia.org/symposia/2020/EES20-02 <https://www.embo-embl-symposia.org/symposia/2020/EES20-02?_ga=2.140139891.1…> 6 May - 9 May 2020 EMBO Workshop: Microglia 2020 https://www.embl.de/training/events/2020/GLI20-01/index.html <https://www.embl.de/training/events/2020/GLI20-01/index.html> 11 May - 14 May 2020 EMBO | EMBL Symposium: Cellular Mechanisms Driven by Liquid Phase Separation https://www.embo-embl-symposia.org/symposia/2020/EES20-04 <https://www.embo-embl-symposia.org/symposia/2020/EES20-04> 14 Sep - 17 Sep 2020 EMBO | EMBL Symposium: The Neurovascular Interface https://www.embo-embl-symposia.org/symposia/2020/EES20-08 <https://www.embo-embl-symposia.org/symposia/2020/EES20-08> 21 Oct - 24 Oct 2020 EMBO | EMBL Symposium: Organoids: Modelling Organ Development and Disease in 3D Culture https://www.embo-embl-symposia.org/symposia/2020/EES20-11 <https://www.embo-embl-symposia.org/symposia/2020/EES20-11> 28 Oct - 31 Oct 2020 EMBO Workshop: Neuroepigenetics: From Cells to Behaviour and Disease https://www.embl.de/training/events/2020/NEG20-01/index.html <https://www.embl.de/training/events/2020/NEG20-01/index.html> 8 Nov - 11 Nov 2020 EMBO | EMBL Symposium: Biological Oscillators: Design, Mechanism, Function https://www.embo-embl-symposia.org/symposia/2020/EES20-12 <https://www.embo-embl-symposia.org/symposia/2020/EES20-12> Julie Heinecke, PhD Marketing Team Lead European Molecular Biology Laboratory Course and Conference Office Meyerhofstr. 1 D-69117 Heidelberg Germany Tel: +49 6221 387 8359 Fax: +49 6221 387 8158 Visit www.embl.org/events <http://www.embl.org/events> for a list of all EMBL events and subscribe to our newsletter at www.embl.org/events/newsletter/signup <http://www.embl.org/events/newsletter/signup>. Follow us on: Facebook <https://www.facebook.com/EMBLEvents/> | Twitter <https://twitter.com/EMBLEvents> | Instagram <https://www.instagram.com/emblevents/> | LinkedIn <https://www.linkedin.com/in/embl-events-716b1531/> | YouTube <https://www.youtube.com/user/emblmedia/playlists?sort=dd&view=50&shelf_id=4> | EMBL Events Blog <https://blogs.embl.org/events/>

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FW: Fries Lab PhD and Postdoc positions
by Ben S 21 Nov '19

21 Nov '19

The Fries Lab at the Ernst Strüngmann Institute (ESI) aims to fill Several positions for PhD candidates and Postdocs in Cognitive and Systems Neuroscience in the course of 2020 and early 2021. The Fries Lab investigates rhythmic neuronal synchronization and its functional roles for attention and memory (www.esi-frankfurt.de/pf <http://www.esi-frankfurt.de/pf> ). Interactions between different brain areas are studied with multi-site electrophysiology and optogenetics in awake behaving marmoset and macaque monkeys, magnetoencephalography in human subjects, and advanced data analysis. The new lab members will join existing teams with extensive expertise in the relevant techniques, and will typically combine experimental projects with data analysis projects on existing datasets. ESI provides an outstanding infrastructure. All positions are for four years and are core funded by ESI for their full duration. Positions can start at any time in 2020 or early 2021, and this call will remain open until all positions are filled. PhD candidates interested in joining the lab in late 2020 or early 2021 are encouraged to apply to the International Max Planck Research School (IMPRS) for Neural Circuits (www.brain.mpg.de/registration <http://www.brain.mpg.de/registration> ) with a deadline on 1 December 2019, and to send their application material in parallel directly to ESI at the below mentioned e-mail address. PhD candidates should have a B.Sc. or a M.Sc. or an equivalent qualification in neuroscience or a neuroscience-related discipline like medicine, psychology, physics or biology. Correspondingly, Postdoc candidates should have or expect a Ph.D. in neuroscience or a neuroscience-related discipline. Experience with in-vivo electrophysiology or MEG and with data analysis is a plus. Yet, the main criteria are a strong academic track record and a dedication to perform excellent brain research. Applications should include a motivation letter, a curriculum vitae, copies of the school leaving exam and university degrees, lists of university courses with obtained grades, and the names and e-mail addresses of two scientists, who can provide references (do not include reference letters). Please send your application materials in electronic format (ideally in one PDF file) to: renata.vajda(a)esi-frankfurt.de <mailto:renata.vajda@esi-frankfurt.de> . Prof. Dr. Pascal Fries Director, Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society Deutschordenstr. 46, 60528 Frankfurt, Germany Web: <http://www.esi-frankfurt.de/> www.esi-frankfurt.de Mail: <mailto:pascal.fries@esi-frankfurt.de> pascal.fries(a)esi-frankfurt.de Tel: +49 (0)69 96769 501 Fax: +49 (0)69 96769 555 <http://scholar.google.com/citations?hl=en&user=d3U-6zUAAAAJ&view_op=list_wo rks&pagesize=100> Pascal Fries @ Google Scholar Sitz der Gesellschaft: Frankfurt am Main Registergericht: Amtsgericht Frankfurt - HRB 84266 Geschäftsführer: Prof. Dr. Pascal Fries

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Developing advanced nanotechnology for neuroscience: 2 postdoc positions available
by Michele Giugliano 20 Nov '19

20 Nov '19

The positions are funded for up to 42 months on a newly funded EC-Horizon 2020 project called "Ionic Neuromodulation For Epilepsy Treatment (IN-FET)", combining neurobiology, nanotechnologies, electrochemistry, and electronics together for designing a breakthrough novel technology in brain modulation. We aim at experimentally validating novel routes for cellular and microcircuit stimulation or suppression, in collaboration with a consortium of partners which includes IBM Research Zurich, the University of Geneva, the University of Sheffield, and the Inter-university consortium for Nanoelectronics. We search for experts in in vitro electrophysiology (substrate-integrated microelectrode arrays) and patch-clamp recordings (dissociated cell cultures, acute and organotypic brain tissue slices) with a strong background in quantitative data analysis and a strong interest for interdisciplinary research. The link to the text of the call is https://www.sissa.it/bandi/selezione-pubblica-titoli-colloquio-conferimento… <https://www.sissa.it/bandi/selezione-pubblica-titoli-colloquio-conferimento…> The deadline for the application is 14/01/2020 at 13.00 and the link to apply is https://pica.cineca.it/sissa/ar-fe-neur-45-2019/ <https://pica.cineca.it/sissa/ar-fe-neur-45-2019/> For any information, email to assegniricerca(a)sissa.it <mailto:assegniricerca@sissa.it>

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PhD position: modeling sequential human behavior, Centre for Cognitive Science @ TU Darmstadt
by Constantin Rothkopf 20 Nov '19

20 Nov '19

A PhD position is available in the lab of Constantin Rothkopf (https://www.pip.tu-darmstadt.de/) at the Centre for Cognitive Science (https://www.tu-darmstadt.de/cogsci/) at Technical University Darmstadt. The lab investigates sequential decision making and control under uncertainty in humans, how we actively use our visual system to take decisions and guide actions. Our work often involves behavioral experiments measuring eye movements and developing computational models in tasks ranging from psychophysical detection tasks to catching balls, navigation in VR, or reasoning about physics. We offer a supportive and interdisciplinary environment based on scientific curiosity with local and international collaborations. Candidates should have a Masters degree in cognitive science, computer science, psychology, neuroscience, or a related discipline. Preference will be given to candidates with evidence of strong quantitative and computational skills. The successful candidate will have the opportunity to interact closely with the existing team in our lab, as well as other colleagues at the Centre including Frank Jäkel, Kristian Kersting, Jan Peters, and Stefan Roth. If you are interested, please send an informal inquiry to constantin.rothkopf(a)cogsci.tu-darmstadt.de. Full applications including a CV, a brief (max. 2 pages) cover letter explaining your research interests, why you would like to study in the lab, your longer term career goals, and the names and contact details of up to 3 academic references need to be sent to dekanat(a)humanw.tu-darmstadt.de until November 25th 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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Postdoc and PhD positions on cortical dynamics underlying vocal production in freely moving mammals (Univ Grenoble, France)
by Blaise Yvert 19 Nov '19

19 Nov '19

Dear Colleagues, I would be very grateful if you could forward this announcement for a postdoc and a PhD positions currently available in my group at the University of Grenoble (France) to study the cortical dynamics of vocal production in freely moving mammals. More information is available at the following links: https://sites.google.com/view/blaise-yvert/available-positions/postdoc-cort… https://sites.google.com/view/blaise-yvert/available-positions/phd-cortical… Thank you very much Kind regards, Blaise. -- Blaise Yvert, PhD. Inserm Research Director Team Neurotechnology and Network Dynamics BrainTech Laboratory U1205 Inserm and Univ Grenoble Alpes UFR Chimie Biologie Bâtiment Biologie B 3e étage 2280 rue de la piscine 38400 Saint Martin d'Hères France Tel (admin). +33 4 56 52 03 73 Tel (direct). +33 4 56 52 03 74 Tel (lab). +33 4 56 52 03 81 Tel (mobile). +33 6 32 88 75 90 https://sites.google.com/view/blaise-yvert/accueil http://www.braincom-project.eu/

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Postdoc position on speech BCI (Univ Grenoble, France)
by Blaise Yvert 19 Nov '19

19 Nov '19

Dear Colleagues, I would be very grateful if you could forward this announcement for a postdoc position currently available in my group at the University of Grenoble (France) on the development of a speech BCI (ECoG and Intracortical). More information is available at the following link: https://sites.google.com/view/blaise-yvert/available-positions/postdoc-deco… Thank you very much Kind regards, Blaise. -- Blaise Yvert, PhD. Inserm Research Director Team Neurotechnology and Network Dynamics BrainTech Laboratory U1205 Inserm and Univ Grenoble Alpes UFR Chimie Biologie Bâtiment Biologie B 3e étage 2280 rue de la piscine 38400 Saint Martin d'Hères France Tel (admin). +33 4 56 52 03 73 Tel (direct). +33 4 56 52 03 74 Tel (lab). +33 4 56 52 03 81 Tel (mobile). +33 6 32 88 75 90 https://sites.google.com/view/blaise-yvert/accueil http://www.braincom-project.eu/

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Modellers Workshop for the Brain Dynamics Toolbox, Final Call.
by Stewart Heitmann 19 Nov '19

19 Nov '19

Modeller’s Workshop for the Brain Dynamics Toolbox Online Course Nov 1-22, 2019 Final Announcement. Enrolments close Friday. The Brain Dynamics Toolbox is an open toolbox for simulating dynamical systems in neuroscience. The Modeller’s Workshop is an on-line course is for those who wish to use the toolbox to build their own dynamical models. Participants learn the art of programming differential equations in Matlab and how to use the toolbox to solve those equations interactively. Topics include programming Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. Course Website https://bdtoolbox.org/p/modellers-workshop/ Important Dates Enrolments open Friday 1st Nov, 2019. Enrolments close Friday 22nd Nov, 2019. This course will not be offered again until March 2020. ______________________________________________________________________ The Victor Chang Cardiac Research Institute's Email is scanned by the MessageLabs Email Security System.

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Postdoctoral Position in Systems/Computational Neuroscience, Drexel University
by Liang,Hualou 18 Nov '19

18 Nov '19

A postdoctoral fellowship is available to conduct research with Drs. Hualou Liang and Vikas Bhandawat at Drexel University. The position is for a computational neuroscientist. Experience/Interest in performing experiments is a plus but not essential. The research project is aimed at understanding neural control of movement – how descending neurons and thoracic (equivalent to spinal cord) motor circuits, and sensory feedback control the coordination of a fly’s leg and coordination between legs. Because each leg has many degrees of freedom, and there are 6 legs, the movement space is large. We will employ concepts from dynamical systems, statistical methods as well as machine learning/deep learning to discover latent structure from high-dimensional data, to extract movement states, and to understand how these states are regulated by interactions between behavioral demands (carried by descending inputs), current body configuration (computed by thoracic circuits based on past limb positions), and on-going sensory feedback (through proprioceptors and load feedback). The successful candidate will have received a Ph.D. in a relevant discipline with substantial experience in Computational Neuroscience. The position will be largely computational, but there is an opportunity to perform a wide variety of experiments, including, in vivo whole-cell patch clamp, in vivo functional imaging, tethered/free behavioral assays in the Bhandawat lab. The Liang Lab works on problems at the intersection of machine learning and neuroscience, with particular interest in using the tools of artificial intelligence to study brain function and other complex processes. The major thrust of the lab is computational. Our current research uses data science to advance a broad range of topics that include understanding brain function, discovering causal structure from observations, and using deep learning and natural language processing to ease the burden of generic drug review. For current projects, please visit https://liang-lab.org/research/. The Bhandawat lab studies how animal behavior emerges from the complex interaction amongst the animal's nervous systems, their muscle-body dynamics, and their environment. We use fruit flies (Drosophila melanogaster) as our model organism because they perform many complex behaviors with a relatively simple brain, and because of the many genetic tools that are available in the flies. We employ a multi-pronged approach which includes in vivo whole-cell patch clamp recordings, imaging, and quantitative measurement of behavior, biomechanics and computation. For more information on research conducted in the Bhandawat lab, please check our website at http://biomed.drexel.edu/labs/bhandawat/ To be considered for this position please send a CV and a letter describing research interest to Hualou Liang (hualou.liang(a)drexel.edu) and Vikas Bhandawat (vikas.bhandawat(a)drexel.edu) Start date: Immediately Funding mechanism: funded by a NIH grant. Hualou Liang, PhD Professor School of Biomedical Engineering Drexel University 3141 Chestnut Street Philadelphia, PA 19104 Tel: (215) 571-3706 Fax: (215) 895-4983 hualou.liang(a)drexel.edu<mailto:hualou.liang@drexel.edu> https://liang-lab.org/ Mailing address: Monell Building 3508 Market Street Suite 100 Philadelphia, PA 19104

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postdoc opportunity at NIMH (machine learning approaches in anxiety and depression)
by Francisco Pereira 17 Nov '19

17 Nov '19

Dear list, We have a postdoc opportunity in the Section on Development and Affective Neuroscience at NIMH, working with Daniel Pine, David Jangraw, and the NIMH Machine Learning Team. Please see below for full details. Francisco Pereira ## Who we are: Drs. Daniel Pine (https://www.nimh.nih.gov/research/research-conducted-at-nimh/research-areas…) and David Jangraw (https://davidjangraw.wordpress.com) are seeking applicants for a Post-Doctoral Fellowship position that would develop new machine learning-based approaches for the diagnosis and treatment of mental illnesses. Our aims are to better understand the causes and mechanisms of certain psychiatric disorders, improve their definition and classification, and ensure the best treatment can be offered to psychiatric patients. We do this by identifying neuroscience-based phenotypes that map onto clinical phenotypes, and which can be targeted with novel treatments. The position is co-advised by the NIMH Machine Learning Team (https://cmn.nimh.nih.gov/mlt) led by Dr. Francisco Pereira, whose mission is to solve the scientific problems of NIMH researchers by developing new machine learning methods, or developing new analysis approaches relying on existing methods. ## What you will do: One line of research will focus on refining and testing latent constructs derived from multiple brain imaging and behavioral markers of inhibitory control. Inhibitory control deficits are common to many psychiatric disorders, and if the latent construct shows good reliability, it may serve as a target for novel treatments. Another line of research will hinge on extracting characteristics of psychotherapy session data, such as therapist speech and facial expressions, that can predict patient clinical outcomes. While the work will concentrate on anxiety and mood disorders in young people, the approaches will be applicable to any mental disorder. The fellow will work with multi-modal imaging datasets that include MRI (functional, structural), EEG, MEG, and associated behavioral and clinical data, all of which may be used as input to machine learning methods. Data sets are already available, and the fellow will devote most of their time to analyzing these data or developing new methods. The fellow will also have access to excellent computational resources within NIH (e.g., top-100 supercomputer with hundreds of thousands of CPUs and hundreds of GPUs). ## Who you are: Candidates with a strong computational background (e.g., PhD in Engineering, Physics, Computer Science, Mathematics, Statistics, Computational Neuroscience, and related areas) who are interested in brain development and psychopathology are particularly encouraged to apply. Requirements for this position include: - Programming experience in data-intensive computation tasks, in Python (preferably) or in R/Matlab - Practical machine learning experience (e.g., training of classification/regression models, statistical testing of results, interpretation and visualization of models), especially using open source machine learning platforms such as scikit-learn - Excellent interpersonal and written (English) communication skills Experience in psychiatry or knowledge of software for processing neuroimaging data are not required. However, the candidate will be expected to learn some of these topics as part of their role in our research group. ## How to apply: The successful candidate will work jointly with Drs. Daniel Pine, David Jangraw, and Francisco Pereira. Please write to them (pined(a)mail.nih.gov, david.jangraw(a)nih.gov, francisco.pereira(a)nih.gov) with your CV, using the email as the cover letter. Other enquiries are also very welcome. The National Institutes of Health is an equal opportunity employer.

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PhD grant on spiking networks at Barcelona
by Xavier Otazu 16 Nov '19

16 Nov '19

The Neurocomputation and Biological Vision Team (NeuroBiT) (http://www.cvc.uab.es/neurobit) offer a PhD scholarship to work in a highly multidisciplinary project which includes computational modelling of primary visual cortex and psychophysical experimentation of colour perception and its relationship to visual migraines. The Research will take place at the Computer Vision Centre (http://www.cvc.uab.es) of the Univ. Autònoma de Barcelona, which is consistently ranked among the top Spanish Universities (https://www.uab.cat/web/about-the-uab/the-uab/the-uab-in-the-rankings-13456…) The centre is located in a campus outside the vibrant city of Barcelona and has a strong tradition of multidisciplinary research in computational colour vision with their own psychophysical laboratory, living labs facilities and several computer clusters. The candidate will be part of the NeuroComputation and Biological Vision Team (NeuroBiT), a recently-formed multidisciplinary research group which combines perceptual and computational approaches with visual neuroscience. We offer regular meetings with other PhD students, international contacts and the possibility of internship/cooperation with other experimental/theoretical labs. The successful candidate is likely to obtain several high-impact publications. The PhD student research topic will be the development of recurrent multilayer spiking networks to reproduce the biological architecture of the primary visual cortex and several of its physiological properties, aiming at reproducing the results of psychophysical studies in colour perception and clinical studies on migraines. The duration of the position is 3 years (36 months). We expect the position to start before July 1st 2020 (i.e. eventual visa issues should be solved beforehand!). The total annual stipend of the grant is around 15.000 euros gross, which include the cost of registration fees for the official doctorate program. Conditions: The candidate must -hold a European Higher Education Area (EHEA) qualification of at least 300 ECTS credits or a university-awarded Master degree or equivalent in the natural sciences/engineering at the time of signing the contract. - have experience in programming with Python and/or Matlab (C, C++, Unix environment and computer cluster experience are also valued) - have knowledge of / interest in the human visual system, visual perception and statistics - proficiency in English and (desired in) Spanish or Catalan - have excellent skills in analytical thinking, perceptiveness, commitment, self-organization, teamwork, and communication. Any previous experience in the subject of computational modelling will also be a bonus. How to apply: Please send your CV and a short statement (500 words) connecting your previous work with the topics of this grant to xotazu(a)cvc.uab.es and a copy of the official academic transcript (including GPA) before november 25th. We encourage candidates with strong skills in programming who are interested to work in a highly multidisciplinary project and environment (computer science, neuroscience, psychophysics), to apply. Candidates should have a degree in a related subject (Neuroscience, Computer Science, Mathematics, Physics, Biology, etc.). Xavier Otazu Senior Researcher at Computer Vision Center Professor at Computer Science Department, Univ Autonoma de Barcelona

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PhD Position in Psychology at Ghent University
by Clay Holroyd 16 Nov '19

16 Nov '19

PhD Position in Psychology at Ghent University The Learning and Cognitive Control Lab is recruiting a highly motivated PhD student for a 4-year position at the Department of Experimental Psychology, Ghent University (Belgium). The position is funded by a European Research Council Advanced Grant, “Cracking the Anterior Cingulate Cortex Code: Toward a Unified Theory of ACC Function” ( https://cordis.europa.eu/project/rcn/216511/factsheet/en ). Our department provides a vibrant and collaborative research environment that include several groups investigating the cognitive neuroscience of cognitive control and decision making. The available facilities include a research-dedicated 3T Siemens Magnetom Trio MRI scanner, EEG, TMS, eye-tracking, and an MR-compatible EEG system. Our seminar programs enable staff and students to engage with leading researchers from across the world. The successful candidate will conduct functional magnetic resonance imaging experiments following a model-based cognitive neuroscience approach (for an example of our approach, see doi 10.1073/pnas.1803650115 ). There are also opportunities in the department to conduct EEG, pupillometry and TMS experiments. Candidates are expected to have a Master’s degree in psychology, cognitive neuroscience, or a closely related discipline at the time of the starting date. Candidates with prior fMRI training as well as good programming skills (Python, Matlab) would be excellent for this position. The position can start any time between February 1st 2020 and July 1st 2020. The call closes on January 5th 2020. Interested candidates should email their CV, a statement of research interests, and have three letters of reference forwarded to Clay Holroyd at clay.holroyd(a)ugent.be. Inquiries may be directed to him at this email address.

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MindCORE at the University of Pennsylvania: Postdoctoral Fellowship Opening - Jan 3 deadline
by Calvert, Heather J 14 Nov '19

14 Nov '19

MindCORE Postdoctoral Research Fellowship at Penn MindCORE, an interdisciplinary effort to understand human intelligence and behavior at the University of Pennsylvania, seeks to recruit outstanding postdoctoral researchers for our MindCORE Fellowship. Designed for individuals who have recently obtained a PhD degree in psychology, linguistics, neuroscience, philosophy or other cognitive science discipline, the MindCORE Fellowship is a springboard for young researchers as they establish their own research program. The fellowship covers salary and a modest research budget. The most exciting applications often come from candidates who are interested in working collaboratively with multiple faculty members. Applications for 2020 are due January 3rd: https://mindcore.sas.upenn.edu/post-doctoral-research-fellowship/ Heather J. Calvert (she / her) Executive Director, MindCORE Penn's hub for the integrative study of the mind. 112 Leidy Labs, 3740 Hamilton Walk, University of Pennsylvania 215-573-1111 ~ hcalvert(a)sas.upenn.edu https://web.sas.upenn.edu/mindcore/ Follow MindCORE on Twitter & Facebook @PennMindCORE

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Call for papers for Vision Research special issue on "Calibrating the visual system"
by Ruben Coen-Cagli 14 Nov '19

14 Nov '19

**Apologies for cross-posting ** Calibrating the visual system Vision Research seeks contributions for a special issue entitled ‘Calibrating the visual system’. Visual systems evolved according to consistent characteristics of the environment and task demands of the species, but also to be malleable in order to adapt to specific perturbations in the stimulus and the observer. The special issue aims to integrate work on the calibration of visual processes in relation to the stable properties of natural scenes or to variations in the sensory stimulus or the individual’s sensory apparatus, in different visual domains and over different time scales. Of particular interest are processes of short, medium and long-term adaptation, and processes to maintain perceptual constancy, as well as processes that occur during visual development. We are also seeking papers concerned with the benefits, costs, and limitations of these adaptations for optimal encoding of visual information, and for learning and representing relevant stimuli in the environment. We are seeking both original research articles and reviews on this subject, covering diverse methods including psychophysics, physiology, neuroimaging, and computational modelling Guest Editors: Jenny Bosten, University of Sussex Ruben Coen Cagli, Albert Einstein College of Medicine Anna Franklin, University of Sussex Samuel Solomon, UCL Michael Webster, University of Nevada, Reno Submission Deadline: March 2020 Manuscripts are submitted through the Special Issue portal of the submission system and go through peer review as usual. Each article in the special issue is assigned a unique identifier and once the article is accepted will be published in a regular journal issue as soon as available. The unique identifier allows us to simultaneously add the article to the special issue on ScienceDirect which is gradually built up as individual articles are published online. We do provide Shared Link of the final published version to the corresponding authors with 50 days free access so that they can share it. Submission Instructions https://ees.elsevier.com/vr/<https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fees.elsev…> Authors to select “VSI: Calibrating vision” as article type when submitting their special issue paper in EES. Guide for Authors for more details <https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.elsev…>https://www.elsevier.com/journals/vision-research/0042-6989/guide-for-autho…<https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.elsev…>https://www.elsevier.com/journals/vision-research/0042-6989/guide-for-autho…

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Postdoctoral fellow in AI, and real time signal processing for Brain Computer Interface clinical application at CEA, Grenoble and Paris-Saclay, France
by Tetiana AKSENOVA 218551 14 Nov '19

14 Nov '19

Postdoctoral fellow in AI, and real time signal processing for Brain Computer Interface clinical application The post-doctoral fellowship will be carried out within the frame of the multidisciplinary project "Brain Computer Interface" (BCI) at CEA-LETI-CLINATEC, Grenoble, France, in collaboration with the Data Intelligence Service from CEA-LIST (Paris-Saclay), France. The goal of the BCI project is the proof of concept that it is possible to control complex effectors thanks to brain activity decoding. Motor BCI raises the hope that limb mobility may be restored for severely motor-impaired patients to regain autonomy, providing them with control over orthosis or prostheses. The project is based on the recording of neuronal activity at the level of cerebral motor cortex (ElectroCorticoGrams, ECoG) with innovative wireless WIMAGINE® implant dedicated to the long term clinical use. A clinical research protocol « BCI and Tetraplegia » at CLINATEC® includes several tetraplegic subjects and is in progress. In this general frame, the project of partners CEA-LETI-CLINATEC and CEA-LIST "Enabling out-of-laboratory neuroprosthetics for severely motor-impaired patients using artificial intelligence", is supported by Programme Transversal de Compétences « Simulation Numérique » of CEA. The particular objective of the project is moving toward neuroprosthetics out-of-the-lab applications. This goal entails solving major challenges: increase number of Degrees of Freedom (DoF), improving accuracy and robustness of neural signal decoding to ensure usability of neuroprosthetics for real life tasks from one side, and providing a BCI system for constrained execution environments offered by portable devices from another side. One direction to improve decoding performances is to use recent advances in artificial neural networks. To ensure that the decoding algorithm is compatible with constrained environments, including the restrained CPU and memory costs such that real-time signal processing and decoding remains feasible, various strategies could be investigated. Missions of post-doctoral fellow will include: The experiment design and set up for real life tasks of using of neuroprosthesis by tetraplegic subject; Design of innovative ANN decoding algorithms, the test and the comparison to conventional methods; Optimization and implementation for real time application, integration to the Clinatec BCI platform; A unique clinical trial ECoG database supports the project. Initial contract duration is 12 months with possible prolongation (24 months at max), initial 12 months in CEA / DRT / LETI / CLINATEC, Grenoble and the next ones in CEA / DRT / List / DM2I / SID / LI3A, Saclay. Profile of candidate: PhD or equivalent with strong knowledge in Machine learning, Deep learning, real time Signal processing (high dimensional data flow), with strong skills in Python, matlab. Application: The candidates should send a CV, the names of 2 referees, and a cover letter to Dr. Tetiana AKSENOVA, tetiana.aksenova(a)cea.fr<mailto:tetiana.aksenova@cea.fr>, Dr. Cedric GOUY-PAILLER, cedric.gouy-pailler(a)cea.fr, and Dr. Pierre BLANCHART, pierre.blanchart(a)cea.fr. The selected candidates will be interviewed for an expected start in March 2019.

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