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Postdoctoral position in Computational Neuroscience, University of Exeter, UK,
by Roman Borisyuk Oct. 24, 2019

Oct. 24, 2019

The University of Exeter is looking for a postdoctoral Research Fellow in computational modelling of central pattern generators. This 3-year project in collaboration with neurobiologists from the University of St Andrews is funded by BBSRC. Vertebrate neural circuits are not fixed into producing a single behaviour. They can dynamically change their activity to respond appropriately to changing situations. This project asks how networks can switch between different behaviours. Specifically, you will investigate the dynamic transition between rhythmic activity patterns in the spinal cord circuits of the tadpole. To do so you will develop reduced and detailed computational models of the tadpole neural circuits that produce swimming and struggling behaviours. You will use reduced models to analyse the dynamic transition between swimming and struggling and determine how coordination among oscillatory circuits changes at the transition. You will also build detailed models (both anatomical and functional) to determine how the intrinsic characteristics of the neurons and the network properties together produce each behaviour. You will be supported by our experimental collaborators who have determined neuronal properties and network connectivity with an exquisite level of detail. Predictions from your model simulations will be tested experimentally using an array of electrophysiology and imaging tools. The tadpole central pattern generators offer a unique system to ask how vertebrate networks can produce and switch between different behaviours: they are complex enough to generate different behaviours, but simple enough that we have detailed information to ground our models. For more information about this job and to apply, please follow the link https://jobs.exeter.ac.uk and enter keyword 70011 Enquiries: Dr Joel Tabak - j.tabak(a)exeter.ac.uk Prof Roman Borisyuk - r.m.borisyuk(a)exeter.ac.uk, r.borisyuk(a)plymouth.ac.uk ________________________________ [http://www.plymouth.ac.uk/images/email_footer.gif]<http://www.plymouth.ac.uk/worldclass> This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, University of Plymouth accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. University of Plymouth does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form.

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Job Opening: Research Assistant Professor at Hong Kong Baptist University
by COMP HKBU Oct. 24, 2019

Oct. 24, 2019

The Department of Computer Science at Hong Kong Baptist University is presently offering BSc, MSc, MPhil, and PhD programmes, and invites outstanding applicants for the following position. *Research Assistant Professor (PR0166/19-20) * The position is created and funded as part of the strategic research development initiatives in the Department. The appointee will be provided with a conducive research environment, and will work within an established group of faculty members in the Department. They are expected to perform group-based high-impact research and to undertake some teaching duties. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and have 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. These key research areas have a special thematic focus on (a) health informatics, and (b) secure and privacy-awareness computing related applications. Initial appointment will be made on a fixed-term contract up to three years. Re-appointment thereafter will be subject to mutual agreement. 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 on its website at http://www.comp.hkbu.edu.hk. *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) with samples of publications, preferably three best ones out of their most recent publications/works. Those should also request two referees to send in confidential letters of reference, with PR number (stated above) quoted on the letters, to the Personnel Office (Email: recruit(a)hkbu.edu.hk) direct. Those who are not invited for interview 4 months after the closing date may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of 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 post advertised, and appointment will be made according to the terms and conditions then applicable at the time of offer. *Closing date: 25 November 2019 (or until the position is filled)* URL: http://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=540

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Workshop announcement: HBP CodeJam #10
by Luca Leonardo Bologna Oct. 23, 2019

Oct. 23, 2019

Dear colleagues, You are invited to participate in: ---------------------------- The HBP CodeJam #10 Workshop Nov. 26, 2019 at 09:00 - Nov. 28, 2019 at 18:00 - Heidelberg | Germany https://www.humanbrainproject.eu/en/education/participatecollaborate/infras… Early-bird registration ends *31st October!* ---------------------------- The goal of the CodeJam workshops is to catalyze open-source, collaborative software development in computational and systems neuroscience and neuroinformatics by bringing together researchers, students and engineers to share ideas, present their work, and write code together. While the mornings are dedicated to invited and contributed talks, the afternoons are free for discussions, tutorials and code sprints. This year's theme is "Integration". It is aimed to gather scientists, students and engineers from different disciplines collaborating to build a highly integrated research infrastructure for computation-based neuroscience, and to show how this infrastructure can be used to model brain circuits, behaviour and learning, develop novel bio-inspired computing systems, and help discover new drugs for neurological disorders. Confirmed speakers: Mihai Andrei, CODEMART, Cluj-Napoca, Romania Axel von Arnim, fortiss GmbH, Munich, Germany Luca L. Bologna, Italian National Research Council, Italy Claudia Casellato, University of Pavia, Italy Andrew Davison, French National Centre for Scientific Research, France Alexander Dietz, Swiss Federal Institute of Technology Lausanne, Switzerland Allan Francani, EPFL, Switzerland Alberto Antonietti, University of Pavia, Italy Thanasis Karabatsis, National and Kapodistrian University of Athens, Athens, Greece Kostis Karozos, Athens University of Economics and Business (AUEB). Athens, Greece Michael Hines, Yale University, USA Christian Mauch, Heidelberg University, Germany Johannes Schemmel, Heidelberg University, Germany Philipp Spilger, Heidelberg University, Germany Lorenzo Vannucci, Instituto di BioRobotica, SSSA, Pisa, Italy Jonathan Villemaire-Krajden, EPFL, Switzerland Programme Committee Andrew Davison, French National Centre for Scientific Research, France Luca L. Bologna, Italien National Research Council, Italy Alexander Dietz, Swiss Federal Institute of Technology Lausanne, Switzerland Bernd Schuller, Forschungszentrum Jülich, Germany Evita Mailli, National and Kapodistrian University of Athens, Greece Eric Müller, Heidelberg University, Germany Egidio Falotico, Sant'Anna School of Advanced Studies, Italy Martina Schmalholz, Heidelberg University, Germany Please visit the event website https://www.humanbrainproject.eu/en/education/participatecollaborate/infras… to learn more and register. Places are limited, so early registration is recommended. Best regards, Luca Leonardo Bologna

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Open position in Juelich: Scientific coordinator in Computational Neuroscience in Juelich, Germany
by Martina Reske Oct. 21, 2019

Oct. 21, 2019

Dear comp-neuro The Institute of Neuroscience and Medicine (INM) at Research Center Jülich, Germany, investigates the structure and function of the human brain on different spatial and temporal scales within the research program “Decoding the Human Brain”. The Supercomputing Centre is home of one of the most powerful machines and has a leading role in the European exascale strategy. Basic neuroscience connects the two research areas as it heavily relies on modeling and simulation, which are necessary to approach the brain’s immense complexity, manage the huge amount of resulting data, and develop reliable control techniques. The subinstitute INM-6, Computational and Systems Neuroscience ( https://www.fz-juelich.de/inm/inm-6/EN/Home/home_node_INM6.html ), develops mathematical models of neuronal dynamics and function. Model-driven analyses of brain activity and structure as well as simulation of biologically realistic models form the core of our work. Among others, the INM-6/IAS-6 is actively involved in the EU flagship project „Human Brain Project“ (HBP, https://www.humanbrainproject.eu ). Together with its partners, INM-6 develops analysis tools and the leading simulation code (NEST) for brain scale networks with cellular resolution in an open source approach ( http://www.nest-initiative.org ). NEST has been under continuous development for 20 years and is serving a worldwide community. We are looking to recruit a Scientific Coordinator Your Job: * Supervision and controlling of administrative aspects of third party funded projects, incl. monitoring of project milestones, collecting and providing material for scientific reports, among others in EU projects in close collaboration with scientists, for instance within the Human Brain Project * Supporting the heads of the subinstitute in all scientific and administrative matters, incl. the recruitment of staff members * Collection, processing and evaluation of information relevant for the research strategy * Support of drafting of research proposals and grants * Organisation as well as professional and content-related preparation and monitoring of project-relevant events/meetings (e.g. meetings with internal and external cooperation partners, guest visits, conferences, workshops, reviews and committee meetings) * Communication with international research partners * PR work and social media: Support in the production of PR material and the presentation of scientific content in social media channels Your Profile: * Completed study in natural sciences, ideally with PhD * Experience in neuroscience, physics or computer science * Experience in administration of third-party funded projects * Strong organizational skills and multitasking capability * Ability to approach tasks with an eye toward efficiency and reproducibility * High communication skills and ability to work in a team * Excellent verbal and written forms of expression in both, German and English, especially with regard to drafting scientific and administrative texts * Ability to work under pressure, assertiveness and empathy * Skilled in software on project planning, text processing (Latex, Word), presentations (Powerpoint), scheduling of dates and websites * Willingness to travel * High ability to work in interdisciplinary, international team Beneficial: * Work experience abroad * Expertise in Computational Neuroscience * Professional experience in above-mentioned areas of responsibility 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 * Responsibility in world-class science environment at the interface between neuroscience and technology on the most complex known systems * High visibility through participation in an Open Source community project and work on key technologies of the European Human Brain Project * Integration into a interdisciplinary and international institute * A comprehensive further training programme * Flexible working hours and various opportunities to reconcile work and private life * Possibility, to apply for the desired level of working hours from 50% to a full position * 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 until 12.11.2019 via our online recruiting system, https://www.hrecruiting.de/obf2/bewerbermanagement.php?kunden_nr=t5ChjatkIf… quoting the reference number 2019-374. Martina Reske -- 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 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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SCiNDU 2020 Conference Announcement
by Geoffrey Goodhill Oct. 19, 2019

Oct. 19, 2019

3rd SYSTEMS AND COMPUTATIONAL NEUROSCIENCE DOWNUNDER (SCiNDU) CONFERENCE January 29-31, 2020 Queensland Brain Institute, University of Queensland, Brisbane, Australia http://www.qbi.uq.edu.au/scindu Abstract submission deadline Nov 15th 2019 Invited speakers: Matilde Balbi (University of British Columbia / University of Queensland) Tony Burkitt (Melbourne University) Gwyneth Card (Janelia) Kai-Hsiang Chuang (University of Queensland) Barry Dickson (Janelia / University of Queensland) Alex Fornito (Monash University) Takao Hensch (Harvard University, TBC) Vinod Menon (Stanford University) Lucy Palmer (Florey Institute) Nicholas Price (Monash University) Linda Richards (University of Queensland) Tatyana Sharpee (Salk Institute) Bruno van Swinderen (University of Queensland) Stephen Williams (University of Queensland) For registration, accommodation and abstract submission information please see http://www.qbi.uq.edu.au/scindu Professor Geoffrey J Goodhill Queensland Brain Institute and School of Mathematics & Physics University of Queensland St Lucia, QLD 4072, Australia Email: g.goodhill(a)uq.edu.au<mailto:g.goodhill@uq.edu.au> http://www.qbi.uq.edu.au/professor-geoffrey-goodhill

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Postdoc openings in the Lefebvre lab at uOttawa
by J?r?mie Lefebvre Oct. 18, 2019

Oct. 18, 2019

The Lefebvre lab at uOttawa is recruiting two postdoctoral fellows for the Winter 2020. Candidates interested in computational neuroscience, brain imaging and applied mathematics are encouraged to apply. Selected candidates will be involved in the following projects: 1. In collaboration with the Griffiths Lab at the CAMH Krembil Center for Neuroinformatics (KCNI) and University of Toronto, the goal of the project is to develop, analyse and explore computational models of non-invasive brain stimulation (e.g. TMS, TES) and their impact on multi-scale neural activity. Specifically, we seek to better understand network-based mechanisms of neural control, oscillatory entrainment and/or stimulation-induced brain plasticity. This project involves a combination of computational and mathematical modelling, has strong potential for knowledge translation, and aims to help inspire new non-invasive treatments for Major Depressive Disorder (MDD). 1. In collaboration with the Hospital for Sick Children (SickKids) in Toronto, the goal of this project is to better understand mechanisms of white matter plasticity, neuron-glia interactions, myelination and its impact on brain function. Using a combination of modelling and simulations, interfacing rodent and human data, the role of the fellow will be to examine the influence of white matter plasticity on neural synchrony and memory. This project involves a combination of computational and mathematical modelling, and strong interactions with experimentalists. The research will take place in the Department of Biology, the Brain and Mind Institute and the Center for Neural Dynamics of the University of Ottawa, a vivid interdisciplinary research cluster set in the bilingual capital of Canada. Both projects are deployed in the Ottawa-Toronto axis, through close collaborations between uOttawa, uToronto, CAMH KCNI, The University Health Network and The Krembil Research Institute. Based on the research needs and resources, candidates will be required to travel between both cities often. Throughout, candidates will interact closely with clinicians, experimentalists and scholars in neuroimaging. Requisites: Candidates should have completed their PhD in physics, mathematics, neuroscience or related disciplines, and have an excellent publication track record. Expertise in programming is a necessity, as well as independence in research. Experience in brain imaging, signal processing and dynamical systems are considered strong assets. Contracts are for one year, with possibility of extension subject to sufficient progress. of one additional year. While the positions are fully funded, candidates are nonetheless expected to apply for external/competitive funding throughout their training. To apply, please send 1) a letter of interest, 2) a full CV and 3) two(2) letters of reference to jeremie.lefebvre(a)hotmail.com<mailto:jeremie.lefebvre@hotmail.com> before Dec 1st , 2019. Selected candidates will be contacted for an interview in December. Jeremie Lefebvre PhD Scientist | Krembil Research Institute, University Health Network Assistant Professor | Department of Mathematics, University of Toronto Assistant Professor (cross appointed)| Institute for Biomaterial and Biomedical Engineering, University of Toronto Krembil Discovery Tower, 60 Leonard Ave, Room 4KD509, Toronto, M5T2S8, Canada Phone: +1 (416) 507-6935 Fax: +1 (416) 603-6274

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Head of the "Machine Learning Transfer Center"
by Philipp Berens Oct. 17, 2019

Oct. 17, 2019

The Cluster of Excellence "Machine Learning: New Perspectives for Science" at the University of Tübingen offers a position as Scientific Head of the central Cluster Facility "Scientific Transfer Center" (100%) to be filled as soon as possible. The position is initially limited until December 31, 2025, with the option of a tenured position. The Transfer Center will be a new facility of the Cluster of Excellence, intended to act as an interface between the Cluster and the various Departments of the University. The Scientific Head is going to promote the transfer of knowledge from the field of machine learning within the Cluster of Excellence to other Departments of the University and to help establishing links between scientific application domains and the research in the area of machine learning. YOUR TASKS - To counsel scientific projects from a variety of disciplines on questions in the field of machine learning - To develop prototypes for standard use cases of machine learning - To initiate networking events between researchers in the field of machine learning and scientific application domains - To develop a (small number of) special courses that introduce machine learning to doctoral students and scientists from other disciplines - To supervise the other scientists employed at the Transfer Center If you enjoy supporting scientific projects at the interface between machine learning and other fields of science, then this is the place for you. The position offers quite a lot of creative freedom. The opportunity to participate in publications is given, but is not the primary goal of the position. The Transfer Center will concentrate on the transfer of machine learning methods to other fields of science. Target persons are doctoral students and scientists from other disciplines. Teaching in Bachelor's or Master's degree programs and transfer to industry will explicitly not be the scope of the Transfer Center. YOUR PROFILE - A doctorate in machine learning or data science and a background in computer science, physics, mathematics or a similar field - Good communication skills with different people - You enjoy working on machine learning problems in different contexts. You are curious about research in various scientific disciplines - Programming experience in the common languages (Python, R, C++) - Experience in project management Further information on the Cluster of Excellence can be found at www.ml-in-science.uni-tuebingen.de. Applications with the usual documents (cover letter, curriculum vitae, copies of certificates, list of publications) are requested by November 08, 2019 in electronic form (as a single PDF, not exceeding 5 MB) to the Central Office of the Cluster of Excellence (ml-in-science(a)uni-tuebingen.de) Please also direct any questions regarding this advertisement to the Central Office. ml-in-science(a)uni-tuebingen.de - www.ml-in-science.uni-tuebingen.de https://www.academics.de/jobs/preview/1015018?preview_id=_GfViDrGixL5dwP6Y5… -- Prof. Dr. Philipp Berens Institute for Ophthalmic Research, University of Tübingen Excellence Cluster "Machine Learning - New Perspectives for Science" http://www.berenslab.org phone: +49-7071-2988833

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PhD posittion in machine learning for closed-loop deep brain stimulation
by Sebastián Castaño C. Oct. 17, 2019

Oct. 17, 2019

Dear mailing-list members, We are looking for a motivated student to work with us at the Brain State Decoding lab, University of Freiburg, Germany! Specifically, we have an open PhD position for investigating machine learning methods for closed-loop deep brain stimulation systems in Parkinson's disease patients. Find the full proposal under https://www.bsdlab.uni-freiburg.de/jobs/phd-position-closed-loop-control-fo… and apply to work with us! Best on behalf of the lab, Sebastian Castaño-Candamil Doctorate student Brain state decoding lab University of Freiburg E // sebastian.castano(a)blbt.uni-freiburg.de (mailto:sebastian.castano@blbt.uni-freiburg.de)

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CFP: FOSDEM 2020 Open Research Tools & Technologies track
by Achilleas Koutsou Oct. 16, 2019

Oct. 16, 2019

This is a *Call for Proposals* for the *Open Research Tools & Technologies* devroom/track at FOSDEM 2020. Web version: https://research-fosdem.github.io/ For the first time at FOSDEM, we are organising a track for the tools and technologies being used in and developed for researchers and scientists and the unique challenges surrounding these topics. FOSDEM (Free and Open source Software Developers' European Meeting) is a non-commercial, volunteer-organised European event centred on free and open-source software development. It is aimed at developers and anyone interested in the free and open-source software movement. It aims to enable developers to meet and to promote the awareness and use of free and open-source software. More info: https://fosdem.org/2020/about/ https://en.wikipedia.org/wiki/FOSDEM The *Open Research Tools & Technologies* devroom is a track dedicated to bringing together developers of research tools with users, potential future contributors, and developers of the wider FLOSS community to discuss the unique challenges for these particular areas of software development. We aim to: - Allow knowledge-based tool developers to publicise their efforts and become aware of other FLOSS projects. - Facilitate the pooling of coding efforts on (often poorly funded) tools. - Create a network where otherwise isolated developers and research engineers can share common concerns. - Provide social recognition for people who work in fields where designing and developing tools does not produce the traditionally recognisable outcomes, e.g., research papers. We seek talks about: - New software releases of research tools or technologies. - Feedback on open technology stacks used in research contexts (e.g., scientific research, journalistic inquiry, archive creation or publication, etc.) which collect, analyse, document, visualise, and/or share data. - Tool design and implementation for specific research contexts, e.g., how to hold an algorithm accountable to social scientists, how to foster better replicability and interoperability thanks to FLOSS, how to cope with biases of a chart for a data journalist, etc. - Issues and opportunities about bridging tech culture with research environments (research labs, libraries, newsrooms, museums, etc.). Talks will be around 20-40 minutes long + 5-10 minutes Q&A, must be in English, will be video recorded by the amazing FOSDEM staff and will be available on the FOSDEM video recordings archive. *Time and place:* Saturday 1st February 2020 from 10:30 to 19:00 ULB, Brussels, Belgium *How to submit proposals* *By submitting a proposal you agree to being recorded and to have your talk made available.* *Deadline:* Sunday 1st December 2019 23:59 CET Submissions must include: - Abstract - Session type (Lecture or Lightning talk) - Session length (20-40 min, 10 min for a lightning talk) - Expected prior knowledge / intended audience - Speaker bio The following information may also be provided but is optional: - Links to code / slides / material for the talk - Links to previous talks by the speaker Submission process is managed in the Pentabarf system used by the FOSDEM conference. Apply for a talk: https://penta.fosdem.org/submission/FOSDEM20 When submitting your talk in Pentabarf, make sure to select the *Open Research Tools and Technologies Devroom* as the Track. If you already have a Pentabarf account from a previous FOSDEM event, please reuse it. Feel free to contact me directly for any questions or concerns: koutsou(a)biologie.uni-muenchen.de <koutsou(a)bio.lmu.de> *Other devrooms that might be of interest* Even if FOSDEM is not science-specific, you might be interested by many other talks. Some developer rooms (tracks) that may be relevant to the interests of this mailing list: - HPC, Big Data, and Data Science - Graph systems and algorithms - Open source design - Community *Developer room organisers* Achilleas Koutsou, G-Node, http://g-node.org https://github.com/achilleas-k Michael Sonntag, G-Node, http://g-node.org https://github.com/mpsonntag Paul Girard, Sciences Po médialab, https://medialab.sciencespo.fr/equipe/paul-girard https://github.com/paulgirard Mathieu Jacomy, Aalborg University TANT Lab, https://www.tantlab.aau.dk/ https://github.com/jacomyma

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Postdoctoral position on computational modelling: interfacing models with nanoarrays to drive cultured neurons
by Yiota Poirazi Oct. 16, 2019

Oct. 16, 2019

1-2 Postdoctoral positions are available in the lab of Panayiota Poirazi ( www.dendrites.gr) in Crete, starting on January 1st, 2020. The positions are for 2 years, with a possibility of renewal for another 2 years. Salary is commensurate with experience. The successful applicant will work on a multi-disciplinary project funded by the FET (Future and Emerging Technologies) Open Instrument of the European Innovation Council. The NEUREKA project aims to develop a new prototype technology that can be used for drug discovery for neurological diseases. In this new hybrid technology, computational neuronal networks that simulate dysfunction will drive cultured neurons to replicate neuropathologies. A proof-of-concept will be provided for Alzheimer’s disease, using human (iPSC)-derived neurons while testing the effects of novel drug candidates. The NEUREKA partners include the University of Padua (Prof. Vassanelli), CNRS (Prof. Larrieu), the University of Milano Bicocca (Prof. Fanciulli) and Maxwell Biosystems. Pharma advisors include Roche and Cognition Therapeutics Inc. For more information please visit: http://www.dendrites.gr/en/openings-11 Applications (full CV, statement of research interest and name and contact of 2-3 referees) should be sent by e-mail to poirazi(a)imbb.forth.gr, quoting “NEUREKA: Postdoctoral position” in the subject line. The deadline for applications is *November 30th, 2019*. Applications will be examined until the position is filled. Informal enquiries are welcome. -- Panayiota Poirazi, Ph.D. Research Director Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385, GR 70013, Heraklion, Crete GREECE Tel: +30 2810 391139 Fax: +30 2810 391101 Εmail: poirazi(a)imbb.forth.gr Lab site: www.dendrites.gr

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Post-doctoral Researcher in Computational modelling of hippocampal circuits (Blue Brain Porject, Switzerland)
by Armando Romani Oct. 16, 2019

Oct. 16, 2019

Blue Brain Porject (Campus Biotech, Geneva, Switzerland) is looking for a *Post-doctoral Researcher in Computational modelling of hippocampal circuits*. Improve the existing large-scale models of rodent hippocampus. The current network models are already the product of several iterations and their emergent behavior can reproduce many features of the hippocampus. The work on the models continues by expanding the region of interest from CA1 (the first region we considered) to the full hippocampus, and eventually by connecting the hippocampus to the rest of the brain. In parallel, the models will include more or more details. For example, we are working on including gap junctions, long-term plasticity, structural plasticity, neuromodulation, glia, vasculature, and so on. Exploit the models to answer outstanding questions in the field, such as information processing in the hippocampus, spatial navigation, memory processes, development of pathological conditions (Alzheimer’s disease, epilepsy). The models are designed not to answer one specific question, but for a general purpose. This ensures a larger validity of the models and allows us to potentially test many different hypotheses and make likewise predictions. Follow the link below to learn more about the position and how to apply. https://recruiting.epfl.ch/Vacancies/1005/Description/2 — Armando Romani, PhD Junior Group Leader - Simulation Neuroscience Division EPFL - Blue Brain Project Campus Biotech Chemin des Mines 9 CH-1202 Geneva, Switzerland Phone +41 (0)21 693 7190

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Post-doctoral Researcher in Computational modelling of thalamo-cortical circuits (Blue Brain Porject, Switzerland)
by Armando Romani Oct. 16, 2019

Oct. 16, 2019

Blue Brain Porject (Campus Biotech, Geneva, Switzerland) is looking for a* Post-doctoral Researcher in Computational modelling of thalamo-cortical circuits*. The goal of this project is to leverage the Blue Brain software and existing thalamic models to build and validate biologically-accurate models of thalamo-cortical circuitry. Modelling these circuits is a crucial step to investigate brain functions, such us sensory transmission, sleep rhythms, wakefulness, alertness. The successful candidate would be responsible for gathering data about thalamo-cortical circuits from the literature, open-access datasets and in vitro studies in collaboration with the experimental lab. Interactions with biology and experimental experts would be fundamental to validate and confirm model predictions. In addition, the candidate would provide guidance and scientific expertise to the technical teams and contribute to the on-going refinement of workflows and tools to build data-driven unifying brain tissue models. Furthermore, the candidate will work in collaboration with engineering teams on visualization, high performance computing, data integration and with project managers to define objectives and timelines to achieve overarching objectives and meet aggressive deadlines. Follow the link below to learn more about the position and how to apply. https://recruiting.epfl.ch/Vacancies/827/Description/2 — Armando Romani, PhD Junior Group Leader - Simulation Neuroscience Division EPFL - Blue Brain Project Campus Biotech Chemin des Mines 9 CH-1202 Geneva, Switzerland Phone +41 (0)21 693 7190

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Human Neocortical Neurosolver New Features & SFN 2019 Demos
by Stephanie Jones Oct. 16, 2019

Oct. 16, 2019

We are happy to announce several exciting developments with the new Human Neocortical Neurosolver (HNN) software designed for cell and circuit interpretation of human EEG/MEG. 1. An updated version of HNN with a new, frequently requested feature of parameter optimization (with a tutorial) is now available. Check it out at hnn.brown.edu. 2. HNN will be presented with live demonstrations at SFN 2019 in Chicago, IL. Sunday October 20th 11-11:30am Carney Booth 2129 Sunday October 20th 6:30-8:30pm BRAIN Initiative Alliance Tools & Technology Social Hyatt Regency McCormick Place, Ballroom CD Monday October 21th 11-11:30am Carney Booth 2129 Monday October 21st 6:45pm Open-Source Technology Social Hyatt Regency McCormick Place, Room N135 Wednesday October 23rd 1-5pm McCormick Place: Hall A. Poster 729.06 3. A HNN methods paper is now available on bioRxiv (Neymotin et al, BioRxiv 2019:740597. https://doi.org/10.1101/740597 <https://doi.org/10.1101/740597>) ******************************************* Stephanie R. Jones, PhD Associate Professor Brown University Department of Neuroscience Stephanie_Jones(a)Brown.edu https://blogs.brown.edu/joneslab/ <https://blogs.brown.edu/joneslab/> Human Neocortical Neurosolver https://hnn.brown.edu <https://hnn.brown.edu/>

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AREADNE 2020 Conference Announcement
by John Pezaris Oct. 15, 2019

Oct. 15, 2019

AREADNE 2020 Research in Encoding and Decoding of Neural Ensembles Nomikos Conference Centre, Santorini, Greece 16-20 June 2020 http://areadne.org info(a)areadne.org The AREADNE conferences bring scientific leaders from around the world to present their recent findings on the functioning of neuronal ensembles in an informal yet spectacular setting on Santorini. The conference series emphasizes interaction with a size and pace that encourages in-depth discussion. Interested researchers are strongly encouraged to submit an abstract for poster presentation as attendance is strictly limited, and the conference typically sells out. Abstract submission deadline is 24 Jan 2020. Send us your best work!

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Reminder: 1st Elephant User Workshop for Reproducible Data Analysis in Electrophysiology, Paris, Nov 4-6, 2019
by Michael Denker Oct. 15, 2019

Oct. 15, 2019

Reminder for the ***1st Elephant User Workshop*** --Accelerate Structured and Reproducible Data Analysis in Electrophysiology-- Paris, France Nov 4-6, 2019 Summary: In this workshop, users will be trained in the use of community-driven tools developed in the context of the Human Brain Project to analyze electrophysiological data, such as spike train data or LFP time series. In addition, participants receive help in integrating their own data into such analysis workflows. The topics covered will be: * reading and manipulating electrophysiology data in Python using Neo [1] * analysis of such data using Elephant [2] * best practices for integrating metadata into your workflow to aid the analysis process * best practices for structuring of analysis results * tracking data analysis pipelines using the HBP Knowledge Graph [3] * collaboration and sharing using the HBP Collaboratory [4] For more information and registration, check out: https://www.humanbrainproject.eu/en/education/participatecollaborate/infras… Organizers: Andrew Davison | French National Centre for Scientific Research, France Michael Denker | Forschungszentrum Jülich, Germany Martina Schmalholz | Heidelberg University, Germany References: [1] Neo, https://neo.readthedocs.io [2] Elephant, https://elephant.readthedocs.io [3] HBP Knowledge Graph, https://www.humanbrainproject.eu/en/explore-the-brain/ [4] HBP Collaboratory, https://collab.humanbrainproject.eu ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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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Neuroimaging data scientist position in Marseille, France
by Sylvain Takerkart Oct. 15, 2019

Oct. 15, 2019

Neuroimaging Data Scientist Multimodal neuroimaging study of cerebellar anomalies in Parkinson’s disease The project SENCE (Movement disorders in Parkinson’s disease: The role of somatosensory deficits and cerebellar anomalies) is funded by the French National Research Agency (ANR) and conducted in collaboration with the University of Oxford (Medical Research Council - MRC). It investigates the anatomical anomalies and abnormal metabolism of the cerebellum resulting from basal ganglia deregulation in Parkinson’s Disease (PD), which may contribute substantially to motor deficits. To this aim, we collect in PD patients (and healthy controls) an original multimodal neuroimaging dataset, comprising anatomical, diffusion-weighted (DWI), and resting state fMRI (rs-fMRI), as well as FDG-PET images, complemented by behavioural and electrophysiological recordings (EEG/intracranial LFP) collected in the same participants during motor tasks performed ON/OFF dopaminergic medication and/or ON/OFF deep brain stimulation (using open- or closed-loop adaptive stimulation protocols). -- Missions -- The data scientist will be responsible to set-up processing pipelines dedicated to analyzing the different neuroimaging scan types (MRI and PET), both at the full-brain level and with a particular focus on the characterization of the anatomy, connectivity and metabolism of the cerebellum. These neuroimaging results will also be combined with behavioural and electrophysiological data which will be analysed by other members of the project team. Furthermore, the data scientist will organize the raw and processed data in a standardized fashion to make it accessible to all the consortium and to the scientific community at large. These missions fall into our commitment to reproducible science through open code and data. -- Profile -- This position is for a candidate who is comfortable (or proficient) with computer programming (python will be our language of choice; matlab will also be used) and has good knowledge and/or experience in signal and image processing. It can be of interest to different types of profiles. You are a young graduate (BSc or MSc) either in data science, in electrical engineering or in neuroscience and you want to be at the heart of an innovative medical imaging project, with the possibility to continue as a PhD student. Or you already have a PhD in a relevant field and you want to take this opportunity to fulfill the aforementioned missions while getting further involved in the research aspects of the project, which should offer excellent opportunities for publications in neuroscience or methodological journals. -- Working environment -- The Institut de Neurosciences de la Timone (INT) is one of the top French neuroscience research institutes with 150 staff members gathered in 10 inter-disciplinary teams examining different aspects of the cerebral organization. It is located on the medical campus of Aix-Marseille University. The successful candidate will join the SENCE project’s team within INT and will interact with cognitive neuroscientists, theoretical neuroscientists as well as specialists in neuroimaging data acquisition and processing. Marseille, the second largest city in France, is a vibrant inter-cultural hub located on the Mediterranean shore, and only 2h away from the Alps mountains. The position is initially open for one year, with a possible renewal for two more years. Starting date can be as early as December 2019 and can be postponed until the position is fulfilled. If you are interested, please send your resume and cover letter to: Sylvain_DOT_Takerkart_AT_univ-amu_DOT_fr and Nicole_DOT_Malfait_AT_univ-amu_DOT_fr -- Sylvain Takerkart Institut des Neurosciences de la Timone (INT) UMR 7289 CNRS-AMU Marseille, France tél: +33 (0)4 91 324 007 http://www.int.univ-amu.fr/_TAKERKART-Sylvain_?lang=en

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Open-Rank Position: Bilkent University
by Hulusi Kafaligonul Oct. 14, 2019

Oct. 14, 2019

*Open-Rank Position, Aysel Sabuncu Brain Research Center and National Magnetic Resonance Research Center (UMRAM) at Bilkent University* Bilkent University invites faculty applications (rank open) for a position in the Aysel Sabuncu Brain Research Center and National Magnetic Resonance Research Center (UMRAM). The strategic plan includes an expansion of research related to molecular and cellular neuroscience. Accordingly, we seek applications from promising or established scholars who have worked in this or a related field, and who integrates or plans to integrate neuroimaging in their studies. The newly built research center has spacious state-of-the-art molecular and cellular laboratories, in addition to animal research facilities. An Interdisciplinary Graduate Program in Neuroscience offers Master's and PhD programs that was opened five years ago. Finally, there are also human psychophysics, EEG laboratories and two MRI scanners (3T and 1.5T) with plans to purchase a high field scanner (7T) for animal studies. Bilkent is located in Ankara, Turkey's metropolitan capital with daily direct flights to Istanbul and other major European cities. Bilkent University also provides faculty members and their families with free housing and access to private health insurance. Qualifications and Responsibilities: Applicants should have a PhD in neuroscience or related discipline, and should have an excellent publication record (requirements vary with rank). A demonstrated ability or the potential to secure external research funding will be a strong advantage. Faculty members are expected to maintain productive research programs. Successful applicants will teach during the Fall and Spring semesters with no teaching requirement during summer, and supervise PhD and Master's students. Appointment: This full-time appointment will begin in September 2020 (negotiable). Salary will be internationally competitive and commensurate with qualifications and experience. *Application Procedure* Applicants should submit 1. a cover letter; 2. CV; 3. research statement; 4. teaching statement; 5. pdf copies of 3 representative publications; and 6. contact information for 3-5 professional references. Review of applications will commence on November 30, 2019 and continue until the position is filled. Inquiries about the university should be directed to Hulusi Kafaligonul athulusi(a)bilkent.edu.tr <mailto:hulusi@bilkent.edu.tr>or +90 312 290 3016.To apply please go to the following link: https://stars.bilkent.edu.tr/staffapp/UMRAM2019For more information, please visit the following websites: beyin.bilkent.edu.tr <http://beyin.bilkent.edu.tr/> umram.bilkent.edu.tr <http://umram.bilkent.edu.tr/> neuro.bilkent.edu.tr <http://neuro.bilkent.edu.tr/> bilkent.edu.tr <http://bilkent.edu.tr/> -- Hulusi Kafaligonul Assistant Professor National Magnetic Resonance Research Center Interdisciplinary Neuroscience Program Bilkent University, Ankara, Turkey http://hulusi.bilkent.edu.tr/ -- Bu e-posta virüslere karşı Avast antivirüs yazılımı tarafından kontrol edilmiştir. https://www.avast.com/antivirus

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PhD and Postdoc positions in Frankfurt, Germany
by Martin Vinck Oct. 12, 2019

Oct. 12, 2019

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 Postdocs and PhDs for experimental projects in marmoset (ideally starting early spring of 2019). We will study predictive processing in the visual system, test new models of object recognition, and the contribution of different cell types to neural coding. Data will be collected with chronic, high-density silicon probes including wireless recordings during (freely moving) natural behavior (using the eCube white matter system). A part of the project involves optogenetics. Additional training in high-density electrophysiology can be acquired by participation in projects in mice. You will work closely together with computational scientists in our laboratory working on deep learning and state space analyses. The main focus of the project is the interpretation of neural activity from artificial neural networks (in particular recurrent and predictive neural networks) and the study of population coding. We are looking for candidates with a biology or medicine background and experience in behavioral training and electrophysiology. Frankfurt is an internationally oriented city with many 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/>, the Interdisciplinary Center for Neuroscience <https://www.izn-frankfurt.de/en/>, and the institute for Empirical Aesthetics. Interested candidates are invited to send their application materials in electronic form (PDF format) to martin.vinck(a)esi-frankfurt.de. The first deadline for applications is 7 of November 2019. 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). The advertisement will be valid until positions are filled. Positions are not yet filled.

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PhD studentship in Bristol
by Cian O'Donnell Oct. 12, 2019

Oct. 12, 2019

We are looking for a computational neuroscience PhD student to start September 2020 to do computational modelling of synaptic plasticity in neurodevelopmental brain disorders. You would mainly be based in the University of Bristol in the group of Cian O’Donnell, and co-supervised by Krasi Tsaneva-Atanasova (University of Exeter) and Jeremy Hall (Cardiff University). Your background can be flexible but training in neuroscience, mathematical modelling and/or scientific programming would be beneficial. Usually we use Julia, Python or Matlab programming languages. Project outline: Autism and Schizophrenia, two of the most common neurodevelopmental disorders, have been linked with ~100 different genetic mutations each. Many of the implicated genes code for proteins involved in synaptic plasticity. It may be that these distinct mutations converge to give similar alterations to the “rules of synaptic plasticity”, and therefore affect learning and development. L-type calcium channel are one notable example, frequently popping up in risk gene lists and known to play crucial roles in synaptic plasticity. In this PhD project you would extend our existing biophysical models of calcium signalling at rodent hippocampal synapses to try to figure out the role of dysfunctional L-type calcium ion channels in these brain disorders. A more detailed project description can be found here: https://www.gw4biomed.ac.uk/wp-content/uploads/sites/9/2019/09/Computationa… The project will involve numerical simulations with Cian O’Donnell (Bristol), mathematical analysis of reduced models with Krasi Tsaneva-Atanasova (Exeter), using electrophysiological and calcium imaging data from genetic animal models of neuropsychiatric disorders collected in the lab of Jeremy Hall (Cardiff). You would apply directly to the MRC GW4 BioMed PhD program (https://www.gw4biomed.ac.uk) which spans Bristol, Cardiff, Exeter and Bath Universities. Application deadline is 25th November and open only to UK or EU citizens or residents (see GW4Biomed site for eligibility details). Please contact Cian O’Donnell (cian.odonnell(a)bristol.ac.uk<mailto:cian.odonnell@bristol.ac.uk>) to discuss before applying. More info on Cian O’Donnell’s group: https://seis.bristol.ac.uk/~co15268 And the lively Bristol Computational Neuroscience Unit: https://bristolcnu.github.io Krasi Tsaneva-Atanasova: https://emps.exeter.ac.uk/mathematics/staff/kt298 Jeremy Hall: https://www.cardiff.ac.uk/people/view/57718-hall-jeremy

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2 Postdocs and 1 Project Manager on H2020 grant
by Michele Giugliano Oct. 11, 2019

Oct. 11, 2019

2 Post-doctoral positions and 1 Project Manager position are available at the newly established Neural Dynamics Laboratory of the International School of Advanced Studies (SISSA) of Trieste, Italy (http://phdneurobiology.sissa.it/eng/faculty/michele-giugliano.aspx <http://phdneurobiology.sissa.it/eng/faculty/michele-giugliano.aspx>). The positions are funded for up to 42 months on a new EC-Horizon 2020 initiative called "Ionic Neuromodulation For Epilepsy Treatment (IN-FET)", combining neurobiology, nanotechnologies, electrochemistry, and electronics together for designing a breakthrough novel technology in brain modulation. The research positions aim to experimentally validate 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 Project Manager position aims at supporting the organization, dissemination, and reporting activities in the context of EC-funded project and partially at supporting scientific software development. We search for candidates with previous experience in management of H2020 project, and fluent with the reporting EC online platform (e.g. Participant Portal) who might also be interested in providing partial support for content management of a web site as well as for scientific software applications development. Please direct informal inquiries, a CV and a brief statement of interest, to Prof. Michele GIUGLIANO (michele.giugliano AT sissa.it) Direct application soon available from the SISSA's website: https://www.sissa.it/recruitment <https://www.sissa.it/recruitment>

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Postdoctoral / Research Specialist position in Neural Circuits and Behavior
by Reiser, Michael Oct. 10, 2019

Oct. 10, 2019

Postdoctoral / Research Specialist position in Neural Circuits and Behavior The Reiser lab at the Janelia Research Campus (https://www.janelia.org/lab/reiser-lab) seeks a creative scientist to join us in figuring out how the fly brain uses visual information to control behavior. We use behavioral, anatomical, imaging, electrophysiological, and computational methods to understand the neural circuits for vision and navigation in Drosophila. This is an exciting time to be working on the fly brain—full brain connectomes and precise genetic access to nearly every cell type in the brain are on the horizon. We pair these tools with high-throughput, high-content exploration of Drosophila behaviors. In this position, you would apply these methods to deeply map behavioral circuits. Many project directions are possible that are related to active research topics in the lab: • visual motion guided behaviors • visual place learning • central modulation of vision Requirements: • A keen interest in figuring out the brain. • Ph.D. in experimental biology, neuroscience, or a quantitative field. • Familiarity with scientific computing environments • Experience in some of these areas: instrumentation, computer vision, and machine learning, neurophysiology, animal behavior, Drosophila molecular/genetic methods, neuroanatomy. Janelia is a unique, exciting research environment near Washington, D.C., with abundant opportunities for collaboration and learning new things. Interested applicants should apply by email; please include your curriculum vitae and research interests and arrange for three letters of reference to be sent to reiserm at janelia.hhmi.org. The Reiser lab is committed to maintaining a diverse and inclusive environment. Members of groups underrepresented in science are especially encouraged to apply. HHMI is an equal opportunity employer.

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PhD position in computational neuroscience with Prof. Laurenz Wiskott in Bochum, Germany
by Laurenz Wiskott Oct. 10, 2019

Oct. 10, 2019

Please forward this job advertisement to candidates who might be interested. Thanks, Laurenz Wiskott. ___________________________________________________________________________ Open position for a PhD student with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany ___________________________________________________________________________ University: The Ruhr-Universität Bochum is one of the leading research universities. The university draws its strengths from both the diversity and the proximity of scientific and engineering disciplines on a single, coherent campus. This highly dynamic setting enables students and researchers to work across traditional boundaries of academic subjects and faculties. Institute: Institute for Neural Computation Ruhr-University Bochum Universitaetsstr. 150 D-44801 Bochum, Germany, EU The Institute for Neural Computation is a central research institute at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. Research group: Prof. Dr. Laurenz Wiskott, see https://www.ini.rub.de/research/groups/theory_of_neural_systems/ Research topics: We are looking for an outstanding candidate who will be working on a system-level model of spatial navigation with the hippocampus as one of its central areas. We use methods from neural networks and machine learning. It is also planned to simulate experiments done with rat and/or mice by our experimental partners. The position is part of a joint team with Prof. Sen Cheng working on developing a system-level model of hippocampal function for memory and navigation. This is being done in close interaction with a team working on similar questions from the machine learning perspective. Teaching: There is a teaching load of 3 hours per week during the semester, in particular for a programming course in python. Time: The appointment will be for three years and can then be extended for one more year if needed. Anticipated starting date is Feb 1st. 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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PhD & Postdoc positions – computational modeling and real-time fMRI neurofeedback of language, bilingualism and dyslexia
by Narly Golestani Oct. 10, 2019

Oct. 10, 2019

PhD & Postdoc positions – computational modeling and real-time fMRI neurofeedback of language, bilingualism and dyslexia PhD and Postdoc positions are available at the Brain and Language Lab (www.brainandlanguagelab.org<http://www.brainandlanguagelab.org>) at the University of Geneva. The PhD position is for 3-4 years, and the postdoc position is for up to 4 years, and salary will be commensurate with experience. Several projects will be done in collaborations with Maastricht University and with the University of Vienna. Applicants should have a strong interest in human brain imaging, and in language function and dysfunction, and should have one of (or a combination of) the following profiles: 1. Candidates with a degree in Biomedical Engineering, Computational Neuroscience, or a related field, and with solid experience in computational modelling (i.e. encoding / decoding) of fMRI data, machine learning, statistics and programming. Projects will include extensions of our recent work on the neural encoding of acoustic information in speech sounds (https://www.ncbi.nlm.nih.gov/pubmed/31285622) to higher levels of language processing. 2. Candidates with a degree in Cognitive Neuroscience, Biomedical Engineering and/or Psychology, with solid experience in the acquisition and analysis of brain functional (and structural) imaging data. Projects will include real-time fMRI neurofeedback training studies, focusing on different levels/aspects of language learning. Candidates for either position (depending on experience) will also have the opportunity to become involved in the analysis of data from a 7T myelin mapping (R1) study. The positions are available immediately, and applications will be considered until the position is filled. Applicants should send me their CV, a statement of research interests, and the names and contact information for 2-3 references, at Narly.Golestani(a)unige.ch<mailto:Narly.Golestani@unige.ch>. ----------------------------------------------------------------------------------------------------------------------------------------------------------------- Prof. Narly Golestani Brain and Language Lab Department of Psychology Campus Biotech 9 Chemin des Mines, 1202 Genève +41 22 379 53 52 <https://outlook.unige.ch/owa/redir.aspx?SURL=5WTo-p-J-W9FrDydU-0WU4PdMytUGs…>http://www.brainandlanguagelab.org https://twitter.com/brain_lang_lab ----------------------------------------------------------------------------------------------------------------------------------------------------------------- <https://outlook.unige.ch/owa/redir.aspx?SURL=5WTo-p-J-W9FrDydU-0WU4PdMytUGs…>

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computational neuroscience PhD positions at Imperial College
by Dan Goodman Oct. 9, 2019

Oct. 9, 2019

Two or more PhD positions in theoretical and computational neuroscience are available in the "Neural Reckoning" group of Dan Goodman at Imperial College London (http://neural-reckoning.org) I am interested in supervising students with a strong mathematical, computational or neuroscience background. Projects could be carried out in several possible areas relating to the work in the group. Some suggestions for topics that would be interesting to me are below, but I'm very happy to consider other possibilities. In addition to working within the group, studying at Imperial College provides excellent opportunities for interacting with other theoretical and experimental researchers, both at Imperial and in the many neuroscience groups in London. At the moment, I'm particularly interested in using techniques from machine learning to generate biologically plausible models that can also perform complex tasks. I'm also generally interested in how to perform computations with spiking neurons, and the computational role of neural mechanisms (such as spiking and heterogeneity). I often work in the auditory system, which is particularly interesting when thinking about temporal processing. Finally, I'm one of the authors of the "Brian" spiking neural network simulator (http://briansimulator.org) and I'm always interested in students who want to work on neuroinformatics projects such as simulation or neural data analysis. For more details, see: http://neural-reckoning.org/openings.html Applicants should initially send me a brief CV and cover letter with a description of research interests or a proposed project, and will eventually have to formally apply through the standard Imperial College mechanism (http://www.imperial.ac.uk/electrical-engineering/study/phd/) I will consider applications as they arrive, so earlier applications are encouraged. EU students from outside the UK are particularly encouraged to apply early because any offer made before Brexit will be respected on the basis of current rules, while the status of offers made after Brexit may be more complicated if a no deal Brexit goes ahead (although this is unlikely as the UK parliament has declared that to be illegal, but you never know). For more information on Brexit: https://www.imperial.ac.uk/about/imperial-and-the-european-union/support-fo… Before applying, please make sure you meet the Imperial College exam grade requirements: * General requirements: https://www.imperial.ac.uk/study/pg/apply/requirements/ * Country-specific minimum grades: https://www.imperial.ac.uk/study/pg/apply/requirements/pgacademic/ Dan Goodman

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Two MSc/PhD positions in Computational Neuroscience
by Yalda Mohsenzadeh Oct. 8, 2019

Oct. 8, 2019

Two MSc/PhD positions in Computational Neuroscience The Cognitive Neuroscience and Artificial Intelligence Lab (CogNeuroAI Lab) at the University of Western Ontario in Canada, Department of Computer Science & the Brain and Mind Institute (BMI) has two MSc/PhD position openings in the field of cognitive computational neuroscience to start in January or May 2020. The positions offer a competitive stipend for the graduate students. The nature of these positions will provide the graduate students with opportunities to work on interdisciplinary collaborative projects. We are looking for motivated students to join exciting projects in our lab in developing cutting-edge computational methods to analyze brain MEG/EEG/fMRI data. We also train state of the art compute vision models and compare human brain MEG/EEG/fMRI data with inter units of the models. Please contact us if you are interested in cutting-edge interdisciplinary research. Candidates should have at least a Bachelors or Masters degree in Biomedical Engineering, Neuroscience, Computer Science or related fields. Having good programming skills in MATLAB, Python, and deep learning frameworks like Pytorch and experience in machine learning, compute vision, neuroscience experiments or brain data analysis will be a plus. Though there are lots of opportunities to learn these skills as well. Applicants should submit a cover letter, resume, a brief summary of the current and past research experience, TOEFL/IELTS (for international students only), official/unofficial master and bachelor academic transcripts to Dr. Yalda Mohsenzadeh (ymohsenz(a)uwo.ca) Please send all your documents as a single PDF file. Applications will be considered until the positions are filled. See our website for more information: https://mohsenzadehlab.com/ Best, Yalda Mohsenzadeh Assistant Professor, The Brain and Mind Institute, Department of Computer Science, The University of Western Ontario, London, Ontario, Canada

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[Special Issue CfP]: Machine Learning Techniques for Neuroscience Big Data
by Mufti Mahmud Oct. 8, 2019

Oct. 8, 2019

Apologies for cross-posting. CALL FOR PAPERS Brain Informatics (*https://braininformatics.springeropen.com <https://braininformatics.springeropen.com>*) Special Issue on *Machine Learning Techniques for Neuroscience Big Data* Guest Editors • Mufti Mahmud, Nottingham Trent University, UK, Mufti.Mahmud(a)ntu.ac.uk • M Shamim Kaiser, Jahangirnagar University, Bangladesh, mskaiser(a)juniv.edu • Ganesh K Naik, Western Sydney University, Australia, Ganesh.Naik(a)westernsydney.edu.au Developing data-intensive tools to process and analyse the neuronal big data is one of the biggest challenges posed to today’s multidisciplinary brain science community. To share recent progress in decoding neuronal information processing, both in healthy and diseased brain, this special issue aims to provide a forum for scientists from diverse disciplines including – computer, electrical, biomedical, and neuro-engineering – who are looking for more relevant information in interpreting brain functions and diagnosing diseases using Machine Learning based techniques. This Special Issue will focus on the latest machine learning techniques and methods of analysing Neuroscience Big Data. Researchers and practitioners working in related areas are invited to submit research papers for possible publication in this issue. The topics may include but are not limited to the following list: • Processing and modelling of neuronal data for disease diagnosis and brain decoding; • Bio-inspired methods for network analysis and pattern recognition in neural data; • Novel machine learning techniques for neuronal big data analysis; • Application of deep and/or reinforcement learning to neuronal big data analysis; • Computationally intelligent techniques for neuroscience applications; • Machine learning inspired Neuroinformatics (including cloud computing and real-time systems). Important Dates --------------------- • Paper submission deadline: December 31, 2019 • First-round notification: January 31, 2019 • Final decision notification: March 31, 2020 Submission Instructions For submission instructions please visit the journal website at *https://braininformatics.springeropen.com/submission-guidelines <https://braininformatics.springeropen.com/submission-guidelines>* or contact *Dr. Mufti Mahmud at Mufti.Mahmud(a)ntu.ac.uk <Mufti.Mahmud(a)ntu.ac.uk>* The complete manuscript should be submitted through online submission system at: *https://www.editorialmanager.com/brai/default.aspx <https://www.editorialmanager.com/brai/default.aspx>* Best regards, Mufti Mahmud, PhD | Senior Member - IEEE & ACM (Senior) Lecturer of Computing & Technology | Nottingham Trent University Associate Editor, IEEE Access & Brain Informatics Editorial Board Member, Cognitive Computation & Big Data Analytics Programme Co-chair, IEEE CICARE2019, Xiamen, China Workshop Co-chair, Brain Informatics 2019, Hainan, China Coordinator of Local Organizing Committee, IEEE WCCI2020, Glasgow, UK Office: ERD200 | Clifton Campus | Clifton Lane | NG11 8NS – Nottingham | United Kingdom Phone: +44 (0)115 84 83202 | Email: mufti.mahmud(a)ntu.ac.uk http://orcid.org/0000-0002-2037-8348 https://scholar.google.com/citations?user=L8em2YoAAAAJ&hl=en https://sites.google.com/site/muftimahmud/ https://www.ntu.ac.uk/staff-profiles/science-technology/mufti-mahmud

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Seeking 2 phd students (Mathematical, Computational and Experimental Neuroscience)
by Serafim Rodrigues Oct. 7, 2019

Oct. 7, 2019

Hello, I am looking for two PhD students to work in my MCEN lab within the Basque Centre for Applied Mathematics (Bilbao/Spain; http://www.bcamath.org/) on research questions at the interface between Mathematical, Computational and Experimental Neuroscience. The application period closes soon, however the phd project would start in September 2020 (according to the Spanish law). We are seeking students who either, are undertaking their MSc degree or already have completed it. We encourage students with background training in either Maths, Physics, Computer Science or Engineering to apply. Desirably, we would like students that have an interest in understanding brain dynamics and willing to work at the interface between mathematics, data and lab work. Moreover, students with programming skills are desirable. Those interested, please contact Prof. Serafim Rodrigues at srodrigues(a)bcamath.org The application will involve submitting the following documents: CV, official under graduate or MSc grades. We hope to hear from you. With many thanks Serafim -- Serafim Rodrigues Group Leader *BCAM - *Basque Center for Applied Mathematics Alameda de Mazarredo, 14 E-48009 Bilbao, Basque Country - Spain Tel. +34 946 567 842 srodrigues(a)bcamath.org | www.bcamath.org/srodrigues *(**matematika mugaz bestalde)*

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Post-docs at the Krembil Centre for Neuroinformatics (CAMH UofT) in Toronto
by Andreea Diaconescu Oct. 7, 2019

Oct. 7, 2019

Dear all, We are hiring post-docs at the Krembil Centre for Neuroinformatics in Toronto! We are looking for a post-doc with a strong background in computational neuroscience or computational psychiatry, or both. More details about the lab and the position can be found on the lab website - Cognitive Network Modelling team https://cognemo.com/. Our team will focus particularly on computational phenotyping of suicidal ideation in psychoaffective disorders. The postdoc will be joining an interdisciplinary lab at the Krembil Centre for Neuroinformatics (CAMH & University of Toronto) that works at the intersection of computational neuroscience, psychiatry, pharmacology, and cognitive neuroscience. CAMH is one of the largest addiction and mental health organisations in North America and Canada’s leading mental health and addiction teaching hospital. It offers a unique research environment with access to state-of-the-art imaging facilities (PET, 3T MRI, hd-EEG). The Krembil Centre for Neuroinformatics within CAMH aims to transform our understanding of mental health by modelling data across all levels of the brain —from genes to neural circuits to behaviour. This multimodal data is gathered across the clinical environment including genetic, epigenetic, MRI, DTI, fMRI, hd-EEG, actigraphy and electronic medical record data. All the details about the position can be found here: link<https://polybox.ethz.ch/index.php/s/fZuWtVM5l1X2zbq>. Potential candidates may contact me directly and I am more than happy to talk about the position and potential projects in person. With many thanks and my best wishes, Andreea Diaconescu Andreea Diaconescu, PhD Independent Scientist, Krembil Centre for Neuroinformatics Centre for Addiction and Mental Health (CAMH) Assistant Professor, Department of Psychiatry University of Toronto (416) 535-8501 ext. 30585 www.krembilneuroinformatics.ca<http://www.krembilneuroinformatics.ca> https://cognemo.com CONFIDENTIALITY NOTICE: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message. AVIS DE CONFIDENTIALITÉ : Ce message électronique, ainsi que tout fichier qui y est joint, est reserve à l'usage exclusif du destinataire visé et peut contenir des renseignements confidentiels et privilégiés. Toute lecture, utilisation, divulgation ou distribution non autorisée est interdite. Si vous n'êtes pas le destinataire visé, veuillez en aviser l'expéditeur par retour de courriel et détruire toutes les copies du message original.

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Symposium Hippocampal Replay, Emotional Valence and Reinforcement Learning
by Benoît Girard Oct. 7, 2019

Oct. 7, 2019

SYMPOSIUM: Hippocampal Replay, Emotional Valence and Reinforcement Learning WHEN:12th November 2019, 9h30-17h00. WHERE: Sorbonne Université, Paris REGISTRATION: is free but mandatory, on the website: https://replaysinparis.sciencesconf.org/ <https://replaysinparis.sciencesconf.org/administrate-user/register> OVERVIEW: This one-day symposium is dedicated to the replay phenomena in the brain (in the hippocampus, but not exclusively) and how they are related to behavior, especially behavior affected by emotional valence. SPEAKERS: * Karim Benchenane (Brain Plasticity Unit, CNRS & ESPCI-ParisTech) * Gabrielle Girardeau (Institut du Fer à Moulin, INSERM & Sorbonne Université, France) * Mehdi Khamassi (ISIR, CNRS & Sorbonne Université, France) * Freyja Olafsdottir (Donders Institute for Brain, Cognition and Behaviour, Radboud University, the Netherlands): Role of hippocampal replay in memory and planning * Giovanni Pezzulo (National Research Council, Rome, Italy) * Federico Stella (Donders Institute, Neuroinformatics Department, Radboud University, the Netherlands) * Stéphanie Trouche (Institute for Functional Genomics, CNRS & INSERM & Univ. Montpellier, France) * Michael Zugaro (CIRB, Collège de France, CNRS & INSERM & Université PSL): Hippocampo-Cortical Dynamics Underlying Memory Formation and Consolidation ORGANIZERS: B. Girard, M. Khamassi, K. Benchenane SPONSOR: CNRS -- Benoît Girard, ISIR, Sorbonne Université/CNRS Pyramide T55/65, CC 173 4 place Jussieu, 75252 Paris Cedex http://people.isir.upmc.fr/girard/ Submit your replications to ReScience: https://rescience.github.io/

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tenure-track position
by Richard Bertram Oct. 4, 2019

Oct. 4, 2019

Applications are invited for a tenure-track Assistant Professor position in biomathematics at Florida State University, beginning August, 2020. Candidates should have a Ph.D. in mathematics or a related discipline and postdoctoral experience in some area of biomathematics. The ideal candidate will have experience working with experimental data, and will pursue collaborations with experimental scientists. The position is joint with the Institute of Molecular Biophysics (IMB), whose core mission is to facilitate interdisciplinary research related to the biological sciences on campus. The IMB hosts an interdisciplinary graduate program in Molecular Biophysics, and there is a separate interdisciplinary graduate program in Neuroscience on campus. The new hire could participate in either or both programs, in addition to the graduate program in biomathematics. The Mathematics Department is also an active participant in a new initiative on Data Science at the university, and with this hire seeks to strengthen the ties between mathematical data science and biomathematics. Florida State University is one of two flagship research universities in the State University System of Florida, and is ranked number 18 among all public universities in the country by U.S. News and World Report. The university enrolls over 40,000 students in the main campus of Tallahassee. Tallahassee is located in north Florida and has a population of roughly 190,000. It is adjacent to the Apalachicola National Forest and about twenty-five miles from the Gulf of Mexico, with easy access to pristine beaches and other natural habitats. Tallahassee has a warm climate, with an annual average high temperature of 80 degrees Fahrenheit and an annual average low temperature of 56 degrees Fahrenheit. The Mathematics Department offers BS, MS, and PhD degrees in biomathematics, as well as degrees in several other areas of mathematics. The biomathematics curriculum includes courses within mathematics as well as courses offered in other departments. There are currently 19 undergraduate majors and 19 MS or PhD students enrolled in the biomathematics program. See http://www.math.fsu.edu/biomath and http://biophysics.fsu.edu for more information. Applications should include a cover letter, curriculum vitae, research and teaching statements, and four letters of recommendation (at least one of the letters should address the candidate's teaching capability). They should be submitted electronically through MathJobs.org and, in addition, through the FSU Employment and Recruiting Services website http://www.jobs.fsu.edu/ (Job opening ID 46351). Richard Bertram Director, Biomathematics Program Florida State University

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2 PhD studentships in Systems Neuroscience available at University of Sussex
by Thomas Nowotny Oct. 4, 2019

Oct. 4, 2019

Two PhD student positions in Neuroscience are available at the University of Sussex from 1 February 2020. Project The PhD positions will develop within the project “Peripheral Olfactory Coding: Information Processing outside the Brain” funded by the Leverhulme Trust. This project will investigate early olfactory coding in the model system of the fruit fly Drosophila. Our aim is to test the hypothesis that one key element underlying odour object recognition are non-synaptic interactions between receptor neurons, i.e. information pre-processing outside the brain. Successful candidates will work in one of two areas, depending on interest: Single sensillum recordings (SSRs) on olfactory receptors or behavioural experiments in a wind tunnel. They will be involved in the entire work from experimental design, practical experimentation, selection and execution of data analysis and, depending on interest, computational interpretation in models. You will work closely with Dr Mario Pannunzi, Prof Thomas Nowotny and Prof George Kemenes on this project. Candidate Requirements Candidates should have an MSc or equivalent in natural sciences, ideally in the area of Neuroscience, Physics, Chemistry or Biology. In addition, strong analytical skills and fluency in English are essential for this project. Interest and skills to work in a multi-disciplinary and extensively networked project are important. PhD Salary UK/EU fees and a living allowance in line with UK Research Council rates, currently £15,009 in 2019-20 and rising in line with inflation in future years. Work environment You will join the exciting interdisciplinary environment of Sussex Neuroscience (http://www.sussex.ac.uk/sussexneuroscience/index) and the Centre for Computational Neuroscience and Robotics (http://www.sussex.ac.uk/ccnr/) within which you will work in the groups of Profs Nowotny (http://users.sussex.ac.uk/~tn41/) and Kemenes (http://www.sussex.ac.uk/profiles/1469) Colleagues in the groups work on diverse topics ranging from learning and memory in lymnaea stagnalis (pond snail) to the “Brains on Board project” (http://brainsonboard.co.uk/) seeking to emulate bee brains as robotic controllers for navigation. The University of Sussex provides an extremely rich research environment and training opportunities for doctoral researchers. The University is situated in Downs National Park at the edge of the vibrant coastal city of Brighton, known for its cultural richness, tolerance and diversity. The city offers a multitude of cultural activities, a colourful nightlife and is only an hour on the train away from the metropole of London. How to apply Please apply through https://www.sussex.ac.uk/pgapplication/, selecting “Neuroscience PhD” and Thomas Nowotny as the preferred supervisor. Please include a recent CV detailing your academic record and your research experience and a statement of motivation in your application. (At this stage you do not need to upload copies of your diplomas or letters of reference. These we will requested if we decide to further pursue your application.) Further inquiries Please contact: Dr. Mario Pannunzi, project co-supervisor, m.pannunzi(a)sussex.ac.uk<mailto:m.pannunzi@sussex.ac.uk> or Prof. Thomas Nowotny, project supervisor, t.nowotny(a)sussex.ax.uk<mailto:t.nowotny@sussex.ax.uk> Application deadline Application before 12 December 2019 will receive full consideration but the position will remain open for applications until filled. -- Prof Thomas Nowotny Director of Research and Knowledge Exchange School of Engineering and Informatics University of Sussex Falmer, Brighton BN1 9QJ, UK Phone: +441273678593 FAX: +441273877873

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2 RESEARCH POSITIONS IN AI-BASED MEDICAL SOFTWARE DEVELOPMENT @ UNIVERSITY OF LISBON (12 Oct 2019)
by Prata, Diana Oct. 4, 2019

Oct. 4, 2019

2 RESEARCH POSITIONS IN AI-BASED MEDICAL SOFTWARE DEVELOPMENT @ UNIVERSITY OF LISBON (12 Oct 2019) The goal of this highly translational project is the application of artificial intelligence based algorithms to neuroimaging data for the development of diagnostic models that can help clinicians’ decision-making in neurodegenerative disease, and their validation, in partnership with Portuguese and UK hospitals. 1 - Data Science: Work plan: Coordination of statistical analysis of retrospective neuroimaging and clinical data, using artificial intelligence (machine learning) for the development and validation of neuroimaging biomarkers (diagnostic models) of neurodegenerative illnesses, with high potential of clinical applicability; coordination with scientific and medical teams to set up clinical trials (Beta-user experience for the clinical setting validation of biomarkers). General responsibility, within a team of biomedical engineers and clinicians, for data analysis within an academic-entrepreneurial join-venture between the Biomedical Neuroscience Lab (at Institute of Biophysics and Biomedical Engineering, Faculty of Sciences of the University of Lisbon) and NeuroPsyAi, Ltd (a neurosciences company). Project approx. 3 years. Details in: http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=117352 2 - IT: Work plan: Design, set up and curation of: clinical cloud databases, website for user interface with clinicians and researchers, and clinical data in and out transfer with hospitals. General responsibility, within a team of biomedical engineers and clinicians, for maintaining the IT infrastructure of an academic-entrepreneurial join-venture between the Biomedical Neuroscience Lab (at Institute of Biophysics and Biomedical Engineering, Faculty of Sciences of the University of Lisbon) and NeuroPsyAi, Ltd (a neurosciences company). The project approx. 3 years. Details in: http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=117350 Diana Prata, Phd Marie Curie Fellow Principal Investigator, Instituto de Biofísica e Engenharia Biomédica, FCUL Visiting Lecturer, IoPPN, King's College London Associate Investigator, Centre for Psychological Research and Social Intervention, ISCTE-IUL (+351)966595936; Skype: dianaprata; https://dpratalab.wordpress.com/<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdpratalab…>, https://neurocolab.wordpress.com/<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fneurocola…>, Any unauthorized copying, disclosure or distribution of the material in this e-mail is strictly forbidden.

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US CCDC ARL Postdoc
by Garcia, Javier O CIV USARMY FUTURES COMMAND (USA) Oct. 4, 2019

Oct. 4, 2019

I noticed that the ad I posted did not link to the full description. I have included both the short and long forms here. Short Version: We are seeking a motivated postdoctoral candidate to work on an interdisciplinary project to study the neuroscientific and general physiological aspects of group processes as part of the Human Research and Engineering Directorate of the US CCDC Army Research Laboratory. Location of the position is flexible (San Francisco, CA preferred), and the candidate will have the opportunity to travel between sites for this multi-university initiative. Applicants are expected to have a strong analytical background and excellent problem solving skills with a PhD in Neuroscience, Bioengineering, Physics, Mathematics, Computer Science, or a related filed. Please see the full ad below, and email any questions to javier.o.garcia.civ(a)mail.mil. _________________________________________________________________________ Postdoctoral Opportunity We are seeking a motivated postdoctoral candidate to work on an interdisciplinary project to study the neuroscientific and physiological aspects of dynamic processes underlying human-human interactions. This project is shared between the Human Research and Engineering Directorate of the US CCDC Army Research Laboratory (PIs: Javier Omar Garcia, PhD and Kanika Bansal, PhD) and several universities. This opportunity supports one of the primary objectives of the Army Research Laboratory's Human Sciences in advancing our understanding of human behavior and predicting performance. Location of the position is flexible (San Francisco, CA preferred), and the candidate will have the opportunity for training at the different sites of this collaborative multi-university initiative. Travel sites include but are not limited to Chicago (Northwestern University), Boston (Northeastern University), New York City (Columbia University), and Aberdeen Proving Ground, MD (ARL). Initial appointment will be extendable for up to three years. A successful candidate will receive stipend, travel funds, and benefits. Project description: An overarching goal of the Human Sciences at the US CCDC Army Research Laboratory is to expand our understanding of individual and team behavior, providing the foundational research for individualized teaming technologies within heterogeneous human-agent teams. An important feature of individualized team technologies is the ability to predict future behavior quickly and accurately in dynamic environments for individuals working together for a common goal. Critical to achieving these goals is the capability to predict the impact of within-individual and between-individuals dynamics on the team performance and/or interventions to achieve optimal behavior. We use a variety of physiological (neuronal and non-neuronal) sensors, surveys, and other metrics to infer individual and teaming "states" that may be related to perception, attention, decision-making, or communication at individual, group, and cultural scales. We aim to build advanced data-analysis techniques, technologies, and methodologies to robustly capture individual and team behavior in non-laboratory environments. In this effort, we leverage a wide variety of analytical tools and approaches from fields including but not limited to network science, dynamical systems, machine learning, statistical physics, systems engineering, and neuroeconomics. As part of this project, we are recruiting from a broad range of disciplines. Some recent example publications of previously used techniques are: Bansal, Kanika, et al. "Cognitive chimera states in human brain networks." Science Advances (2019), 5(4), eaau8535. Garcia, Javier O., et al. "Applications of community detection techniques to brain graphs: Algorithmic considerations and implications for neural function." Proceedings of the IEEE (2018), 106 (5), 846-867. Responsibilities: Develop and/or implement human team experiments on research aims. Carry out analysis on complex multi-modal data. Present research results at meetings and engage in publishing results. As part of the role, applicants will have the opportunity to travel for experimentation and development and must have a desire to work with a geographically distributed, energetic, and interdisciplinary team. Qualifications: * A strong analytical background and excellent problem-solving skills with a PhD in Neuroscience, Bioengineering, Physics, Mathematics, Computer Science, or a related field. * Proficiency in at least one common programming language (such as Matlab, Python) is a must. * Previous experience with EEG (or complex signals) data acquisition is preferred but not required. * Experience with signal processing and/or data integration is a plus. * Ideal candidates will have an excellent record of scientific publication with a demonstrated ability to work in interdisciplinary collaborative environment, and strong communication and writing skills. Applicants should send their CV to javier.o.garcia.civ(a)mail.mil and/or kanika.bansal(a)columbia.edu

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Postdoc Opportunity for the US CCDC Army Research Laboratory
by Garcia, Javier O CIV USARMY FUTURES COMMAND (USA) Oct. 3, 2019

Oct. 3, 2019

We are seeking a motivated postdoctoral candidate to work on an interdisciplinary project to study the neuroscientific and general physiological aspects of group processes as part of the Human Research and Engineering Directorate of the US CCDC Army Research Laboratory. Location of the position is flexible (San Francisco, CA preferred), and the candidate will have the opportunity to travel between sites for this multi-university initiative. Applicants are expected to have a strong analytical background and excellent problem solving skills with a PhD in Neuroscience, Bioengineering, Physics, Mathematics, Computer Science, or a related filed. Please see attached description for more information and how to apply. Any questions should be directed to javier.o.garcia.civ(a)mail.mil. Thanks! Javier Omar Garcia, PhD Neuroscientist US CCDC Army Research Laboratory, Human Research and Engineering Directorate, Future Soldier Technologies Division, Integrated Capability Enhancement Branch

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Swartz fellowships in theoretical neuroscience in Seattle: applications open
by Adrienne L Fairhall Oct. 3, 2019

Oct. 3, 2019

The University of Washington's Computational Neuroscience Center is seeking postdoctoral applicants for fellowship positions with the UW Swartz Center for Theoretical Neuroscience. Generously supported by the Swartz Foundation <http://www.theswartzfoundation.org/>, two prestigious Postdoctoral Fellowships are available at the UW CNC. Fellows will join the vibrant, collaborative UW theoretical neuroscience community. This fellowship provides the unique opportunity to work with any of the CNC’s faculty members <https://cneuro-web01.s.uw.edu/people/faculty/>, with the freedom to design and develop projects and new collaborations. Participating faculty members’ research includes theory, computation and data analysis, and members interact extensively with colleagues in quantitative experimentation. Experimental work available for close collaboration at UW includes groups performing large-scale recording (electrophysiology, imaging) and neural manipulation (optogenetics) in diverse behavioral tasks. Collaborations with the Allen Institute for Brain Science are also possible. Successful candidates will have: - A PhD in neuroscience, computer science, mathematics, physics, or a related area - A strong analytical and/or computational background - Track record of productive research, including publications - The initiative to drive projects and collaborations - Strong written and verbal communication skills The Fellowship is available with a starting date in early 2020. Applications are currently being considered beginning October 15, 2019, and will be reviewed on a rolling basis until positions are filled. To apply please send your CV, a 1-2 page summary of research accomplishments, and a 1-2 page statement of research interests, to cncadmin(a)uw.edu; please arrange to have 3 letters of reference sent to the same email address.

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postdoctoral positions Canavier lab New Orleans- hippocampal modeling
by Canavier, Carmen C. Oct. 3, 2019

Oct. 3, 2019

A second Postdoctoral Researcher position is available in the computational neuroscience lab of Carmen Canavier in the School of Medicine, Department of Cell Biology and Anatomy at LSU Health Sciences Center in New Orleans, Louisiana, USA. The position is to study hippocampal synchronization in close collaboration with electrophysiologist John White. The successful candidate will construct biophysically realistic models of a hippocampal interneurons and embed them in network models. If interested, please apply at https://www.lsuhsc.edu/Administration/hrm/CareerOpportunities/Home/Detail/3… A previously advertised position is also still available. https://www.lsuhsc.edu/Administration/hrm/CareerOpportunities/Home/Detail/3… The primary duties will involve linear and non-linear analyses, writing code, calibrating single neuron models, and generating predictions that lead to additional experiments. Candidates must have a Ph.D. in Neuroscience, Engineering, Mathematics, Physics, Computer Science or a related field of study. Familiarity with nonlinear dynamics, signal processing, and coding in C and or python in a Linux environment is also desirable. If you have questions, please email Dr. Canavier at ccanav(a)lsuhsc.edu<mailto:ccanav@lsuhsc.edu>. LSUHSC is an Equal Opportunity Employer for females, minorities, individuals with disabilities and protected veterans.

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NIH-funded Postdoc / Software Engineer position to work on tool for multiscale modeling of brain circuits
by Salvador Bernal Oct. 1, 2019

Oct. 1, 2019

A Postdoc or Software Engineer position is available at the State University of New York (SUNY) Downstate Medical Center (Brooklyn, New York) to develop and disseminate NetPyNE, a tool for data-driven multiscale modeling of brain circuits. The position is funded by a recently awarded 5-year NIH grant. For more details on the software tool see our recent eLife publication (https://elifesciences.org/articles/44494) and tool website (www.netpyne.org<http://www.netpyne.org>). The successful candidate would be a salaried employee of the University with a competitive remuneration and benefits package. The position is initially for 1 year with renewal of up to 5 years. Responsibilities: - Improve the software tool to ensure its reliability, robustness and reproducibility. - Collaborate with an external software company to extend the tool's graphical user interface (GUI). - Update the tool's online documentation and develop interactive tutorials. - Organize, prepare and teach conference workshops/tutorials and yearly courses to train users. - Provide ongoing support to neuroscience researchers across the world who use the tool to model different brain regions and phenomena (see www.netpyne.org/models<http://www.netpyne.org/models> and www.netpyne.org/forum<http://www.netpyne.org/forum>) - Encourage, coordinate and manage open source code contributions from interns, graduate students or researchers (usually online via GitHub: https://github.com/Neurosim-lab/netpyne) - Continue ongoing collaborations with other neuroscience initiatives, including Open Source Brain (www.opensourcebrain.org<http://www.opensourcebrain.org>), Neuroscience Gateway (www.nsgportal.org<http://www.nsgportal.org>), Human Neocortical Neurosolver (www.hnn.brown.edu<http://www.hnn.brown.edu>) and Human Brain Project Collaboratory (www.humanbrainproject.eu<http://www.humanbrainproject.eu>). Required: - MSc (or equivalent degree) in Engineering, Computer Science or related discipline. - Expertise programming in Python, including tools for scientific computing (numpy, scipy, pandas, etc), with 5+ years of demonstrable experience. - Experience (3+ years) in collaborative software development as part of a team. - Experience writing unit tests, debugging code, using profiling tools and refactoring existing code bases to improve maintainability. - Proficiency with Git/Github and Linux (shell scripting, ssh, etc) - Experience giving presentations, tutorials and/or product demonstrations. - Spoken and written English language proficiency Desired: - Experience in research/academic environment and/or neuroscience background. - Experience in GUI design/implementation using JavaScript. - Experience with the NEURON simulator using the Python interpreter. - Experience running parallelized large-scale simulations on supercomputers. - Experience in data science, data visualization and machine learning. How to apply: Please send your CV, a brief cover letter, and contact information for 3 references to Salvador Dura-Bernal (salvaordura(a)gmail.com<mailto:salvaordura@gmail.com>) ________________________________ The contents of this email message and any attachments are confidential and are intended solely for the addressee. The information may also be legally privileged. This transmission is sent in trust, for the sole purpose of delivery to the intended recipient. If you have received this transmission in error, any use, reproduction or dissemination of this transmission is strictly prohibited. If you are not the intended recipient, please immediately notify sender by reply email or by (718) 270-HELP.

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Postdoc position on attention and decision-making
by Hrvoje Stojic Oct. 1, 2019

Oct. 1, 2019

We are searching for a postdoctoral researcher for a 2-year project (with possibility of extension) on attention and decision-making. Project lead: Jacob L. Orquin (Aarhus University) Collaboration: Raymond Dolan and Hrvoje Stojic (University College London), Peter Todd (Indiana University) Location: Aarhus University (Denmark) The project aims to investigate the relation between natural visual input, eye movement control and decision-making processes. It will involve state-of-the-art computational modelling of vision, attention and decision making, and behavioural experiments using eye-tracking. The postdoc will have ample room for defining the project based on own interests. We are looking for candidates with experience in vision or decision making research, in ideal case comfortable with computational modelling and conducting eye-tracking experiments, and good coding abilities in either R, Python, or Matlab. The complete job description and submission link is available here: https://international.au.dk/about/profile/vacant-positions/job/postdoctoral… Closing date: 1 November 2019 Informal inquiries about the position can be directed to Jacob L. Orquin at: jalo(a)mgmt.au.dk Apologies for cross-posting. ----------------------------- Hrvoje Stojic, PhD Postdoctoral researcher University College London Website: http://hstojic.re/

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Professorship (W1-Tenure Track): "Computational Cognitive Science" @ Stuttgart University
by Marc Ernst Oct. 1, 2019

Oct. 1, 2019

The Stuttgart Centre for Simulation Science at the University of Stuttgart, Germany, invites applications for a Tenure Track Professorship (W1) "Computational Cognitive Science". The new professor is expected to cover the field of Computational Cognitive Science both in research and teaching, specifically connecting modern data-driven and computational methods for the modeling and simulation of cognitive processes and their applications to human-computer interaction. The position is one of four new professorships that are established at the University of Stuttgart through the DFG Cluster of Excellence EXC 2075 "Data-driven Simulation Science (SimTech)". The professor will be jointly appointed at the Stuttgart Center of Simulation Science and the Department of Computer Science and Electrical Engineering and linked closely to the Human-Computer Interaction and Cognitive Systems group. We are looking for an ambitious scientist with international standing who will advance the field of Computational Cognitive Science and its respective foundations in Cognitive Science and Computer Science in close interdisciplinary collaboration with researchers from science and engineering as well as from the humanities and the social sciences. Applicants should have made distinguished contributions in at least one of these research areas: • Cognitive modeling and simulation, especially of visual perception • Data-driven and mathematical / statistical modeling of human behavior • Behavioral experiments and evaluation methods • Decision making, human learning and reasoning • Applications of cognitive models and simulations, e.g. in human-robot interaction, computer vision or immersive environments We encourage excellent young scientists in related areas of (cognitive) neuroscience or psychology, machine learning or artificial intelligence or human-computer interaction to apply. We expect contributions to teaching in the Bachelor and Master programs of the Stuttgart Center of Simulation Science and of the Department of Computer Science as well as acquisition of third-party funding and active involvement in further collaborative research projects of the University. The professorship is funded in the context of the joint program for the promotion of early career researchers by the German federal and state governments. The position is a tenure track position leading to an appointment as a W3 professor in case of positive evaluation. The requirements for employment as listed in §51 Baden-Württemberg University Law apply. For more information on the criteria of evaluation and quality management, please visit the website: https://uni-stuttgart.de/tenure-track <https://uni-stuttgart.de/tenure-track> Please submit your application before 20th October, 2019 by e-mail to bewerbung(a)simtech.uni-stuttgart.de <mailto:bewerbung@simtech.uni-stuttgart.de> with one PDF attachment comprising a curriculum vitae, academic degrees and certificates, full list of publications, research and teaching statements, three selected publications as well as the application form. Applications should be addressed to Prof. Dr. Thomas Ertl, Stuttgart Center of Simulation Science, University of Stuttgart, Pfaffenwaldring 5a, 70569 Stuttgart. Further information and the application form can be found here: https://www.simtech.uni-stuttgart.de/karriere/jobs/ <https://www.simtech.uni-stuttgart.de/karriere/jobs/>. Please be aware of the risks regarding confidentiality and the integrity of your application contents when sending your application via unencrypted e-mail. Please see https://www.simtech.uni-stuttgart.de/karriere/jobs/091145502K2.pdf <https://www.simtech.uni-stuttgart.de/karriere/jobs/091145502K2.pdf> for the official job advert. The University of Stuttgart has established a Dual Career Program to offer assistance to partners of those moving to Stuttgart. For more information, please visit https://www.uni-stuttgart.de/universitaet/arbeitgeber/dualcareer/ <https://www.uni-stuttgart.de/universitaet/arbeitgeber/dualcareer/> The University of Stuttgart is an equal opportunity employer. Applications from women are strongly encouraged. Severely challenged persons will be given preference in case of equal qualifications. The information on the collection of personal data in accordance with Article 13 of the GDPR can be found via the following link: https://uni-stuttgart.de/datenschutz/bewerbung <https://uni-stuttgart.de/datenschutz/bewerbung>

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Post Doc position in ERC-funded project at UCL: VR, modelling, ML, MEG - please circulate
by Bach, Dominik Sept. 30, 2019

Sept. 30, 2019

Post doc position in ERC-funded project "Action Selection under Threat", involving VR, behavioural experiments and modelling, wearable magnetoencephalography Location: University College London (UK), Institute of Neurology, Max-Planck/UCL Centre for Computational Psychiatry and Ageing Research and Wellcome Centre for Human Neuroimaging Project lead: Dominik R Bach is a principal research fellow at UCL The project will look at the cognitive-computational control of motor behaviour under acute, immediate threat. We will set up an immersive virtual reality (VR) environment, in which people can move to avoid various threats. We will record people's behaviour using optical and video tracking, and use machine-learning to structure motor trajectories. Scenarios will then be tweaked to expose limitations of the psychological or computational mechanisms that govern behaviour. Finally, we will use wearable magnetoencephalography (OPMs) at the WCHN to investigate the neural basis of these algorithms. We are currently looking for candidates with a PhD in cognitive-computational (neuro)science, applied machine-learning, biomechanics, motor science, or a quantitative field of psychology (e.g. vision, perception, behavioural economics), or similar. More information and how to apply: https://bit.ly/2m7ok7R Closing date: 17 October 2019 d.bach(a)ucl.ac.uk<mailto:d.bach@ucl.ac.uk> Apologies for cross-posting.

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Tenure-track faculty positions in computational neuroscience at BU
by Mark Kramer Sept. 30, 2019

Sept. 30, 2019

The Department of Mathematics and Statistics at Boston University is hiring two positions in computational neuroscience. Details below: i) Tenure-Track Assistant Professor in Statistical Neuroscience The Department of Mathematics and Statistics at Boston University invites applications for a tenure-track Assistant Professor position, pending final approval, in the field of Statistical Neuroscience. Ph.D. required. Commitment to research and to teaching at the undergraduate and graduate levels essential. Submit cover letter, CV, research statement, teaching statement, and four recommendation letters (one of which addresses teaching) on-line to mathjobs.org. Application deadline: November 1, 2019. Pending final administrative and budgetary approval, the appointment start date is July 1, 2020. ii) Tenure-Track Assistant Professor in Mathematical Neuroscience The Department of Mathematics and Statistics at Boston University has a long tradition of outstanding research and teaching in the broad field of computational neuroscience, including in mathematical neuroscience. The Department invites applications for a tenure-track Assistant Professor position in the field of Mathematical Neuroscience. Ph.D. required. Commitment to research and to teaching at the undergraduate and graduate levels essential. Submit cover letter, CV, research statement, teaching statement, and four recommendation letters (one of which addresses teaching) on-line to mathjobs.org. Application deadline: November 1, 2019. Pending final administrative and budgetary approval, the appointment start date is July 1, 2020. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor.

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Postdoc Position in Biomedical Deep Learning, Drexel University
by Liang,Hualou Sept. 27, 2019

Sept. 27, 2019

I have an immediate opening for a post-doctoral fellow to engage in a federally-funded multi-year project in biomedical deep learning. My research group at Drexel University focuses on developing state-of-the art deep learning-based algorithms and applying them to a wide range of problems. Ongoing projects are: * Design of novel and application of existing cutting-edge natural language processing (NLP) models (e.g. Transformer, BERT, GPT-2, XLNet) for biomedical information retrieval and text summarization. This is an unprecedented opportunity to harness unstructured information from millions of documents, use this information to guide generic drug product development. * Development of novel and application of existing deep generative models (e.g. GANs, VAEs) to explain the high-dimensional structure and time course of neural population activity. The focus is on the extraction of low-dimensional temporal patterns in high-dimensional spiking and local field potentials datasets in visual attention and working memory tasks, and the development of new tools for causal inference (e.g. copula Granger-causality). The ideal candidate should have, or be about to receive, a Ph.D. in a relevant discipline with substantial computational experience (especially in deep learning/NLP). Programming skills in Python and/or Julia are essential. Knowledge of state-of-the-art NLP/text mining methods and/or deep learning frameworks (e.g. TensorFlow, PyTorch) is advantageous but not required. Interested individuals should email a curriculum vitae and a brief statement of research interests to Dr. Hualou Liang at hualou.liang(a)drexel.edu<mailto:hualou.liang@drexel.edu>. 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> http://www.biomed.drexel.edu/labs/liang/<https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.biomed.…> Mailing address: Monell Building 3508 Market Street Suite 100 Philadelphia, PA 19104

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Graduate Student openings in the UCR Brain Game Center and Sensory Learning Lab
by Aaron Seitz Sept. 26, 2019

Sept. 26, 2019

Professor Aaron Seitz in the Department of Psychology at UC Riverside has several openings for graduate students. Students can work in one or both of the Perception and Learning lab and the Brain Game Center. The Perception and Learning lab conducts basic research on perception, learning and memory using a variety of approaches including advanced Psychophysics, EEG, fMRI, and computational methodologies. The UCR Brain Game Center for Mental Fitness and Well-being is a unique research unit that focuses on translational psychology and neuroscience work where we exploit the potential of consumer technologies to conduct research at large scale. This involves running hundreds to many thousands of participants on research studies designed to develop better measurements of perceptual and cognitive abilities as well as new training tools for these skills. To date we have developed numerous approaches addressing vision, hearing, working memory, executive function, and fluid intellige! nce. In both labs we use computational modeling and machine learning as well as standard data analysis approaches. For more information on research in the Seitz labs please see http://faculty.ucr.edu/~aseitz/ and http://braingamecenter.ucr.edu. Prospective graduate students should send an email to aseitz(a)ucr.edu with their CV, and description of research interests. Successful applicants will receive funding toward their Ph.D. for at least 5 years. Please see the following websites for more information about the Psychology (https://psych.ucr.edu) or Neuroscience (http://neuro.ucr.edu) graduate programs. Please forward to anyone that you know that might be interested. Thanks, -Aaron ************************************************** Aaron Seitz, Ph.D. Professor of Psychology Director of UCR Brain Game Center University of California, Riverside 900 University Ave. Riverside, CA 92521 Ph: (951) 827-6422 Fax: (951) 827-3985 Email: aseitz(a)ucr.edu Web: http://faculty.ucr.edu/~aseitz/ BGC: http://braingamecenter.ucr.edu **************************************************

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Post-Doctoral Position to Research Factors That Influence Cognitive Training Outcomes at the University of Wisconsin-Madison, UC Riverside and UC Irvine
by Aaron Seitz Sept. 26, 2019

Sept. 26, 2019

Dear all, Please share the following with anyone that you know that might be interested. C. Shawn Green (UW-Madison), Aaron Seitz (UC-Riverside) and Susanne Jaeggi (UC-Irvine) are seeking to hire a post-doctoral researcher to work on a project funded by the National Institute of Aging. The project is focused on investigating features of cognitive training that differentially lead to learning and transfer of learning in both young adults (college-aged individuals) as well as in older adults. The post-doctoral researcher is expected to take a lead role in the project, including setting up experiments, collecting and analyzing data, training and supervision of graduate students and undergraduate research assistants, and dissemination of results at conferences and in research publications. Successful candidates should have strong technical skills, including in data analysis (R preferred), management skills, creativity and a high-level of conscientiousness, as these are required to play a lead role in this sizeable project. They should also have expertise in one or more of the following areas (and knowledge of the others): working memory, cognitive training, perceptual learning, and methods of assessing individual differences and effects of interventional studies. Experience in programming psychophysical experiments, in either MATLAB or Python, is preferred. Researchers must possess a doctoral degree in Psychology, Education, Cognitive Science, Neuroscience, or a related field. The primary appointment will be at the University of Wisconsin-Madison in the Learning and Transfer Lab of C. Shawn Green (https://greenlab.psych.wisc.edu/) The lab’s broad focus is to examine factors that alter the rate and generality of learning in both the perceptual and cognitive domains. The University of Wisconsin offers excellent benefits. Salary is based on research experience. The initial appointment is for 1 year with a possibility of extension. Furthermore, although the postdoc’s primary location will be at UW-Madison, the postdoc will also spend time on the UCR and UCI campuses and work closely with both Seitz and Jaeggi to insure that procedures are coordinated between all three sites and that all personnel are properly trained and supervised. Thanks, -Aaron ************************************************** Aaron Seitz, Ph.D. Professor of Psychology Director of UCR Brain Game Center University of California, Riverside 900 University Ave. Riverside, CA 92521 Ph: (951) 827-6422 Fax: (951) 827-3985 Email: aseitz(a)ucr.edu Web: http://faculty.ucr.edu/~aseitz/ BGC: http://braingamecenter.ucr.edu **************************************************

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1st Elephant User Workshop for Reproducible Data Analysis in Electrophysiology, Paris, Nov 4-6, 2019
by Michael Denker Sept. 26, 2019

Sept. 26, 2019

***1st Elephant User Workshop*** --Accelerate Structured and Reproducible Data Analysis in Electrophysiology-- Paris, France Nov 4-6, 2019 Summary: In this workshop, users will be trained in the use of community-driven tools developed in the context of the Human Brain Project to analyze electrophysiological data, such as spike train data or LFP time series. In addition, participants receive help in integrating their own data into such analysis workflows. The topics covered will be: * reading and manipulating electrophysiology data in Python using Neo [1] * analysis of such data using Elephant [2] * best practices for integrating metadata into your workflow to aid the analysis process * best practices for structuring of analysis results * tracking data analysis pipelines using the HBP Knowledge Graph [3] * collaboration and sharing using the HBP Collaboratory [4] For more information and registration, check out: https://www.humanbrainproject.eu/en/education/participatecollaborate/infras… Organizers: Andrew Davison | French National Centre for Scientific Research, France Michael Denker | Forschungszentrum Jülich, Germany Martina Schmalholz | Heidelberg University, Germany References: [1] Neo, https://neo.readthedocs.io [2] Elephant, https://elephant.readthedocs.io [3] HBP Knowledge Graph, https://www.humanbrainproject.eu/en/explore-the-brain/ [4] HBP Collaboratory, https://collab.humanbrainproject.eu ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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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Two postdoc positions in Diba Lab at U-Michigan
by Kamran Diba Sept. 25, 2019

Sept. 25, 2019

Dear Colleagues, My lab is currently recruiting postdoctoral scholars for two very exciting projects: one to use machine learning to investigate replay during sleep <https://sites.lsa.umich.edu/diba-lab/2019/09/24/postdoctoral-position-machi…> (in collaboration with C. Kemere's lab at Rice U), and another to use µLED optoelectrodes (developed by E. Yoon's lab at U-M) to investigate hippocampal oscillations in episodic memory. Links to the ads are provided here: Machine Learning of Neuronal Spike Sequences: https://sites.lsa.umich.edu/diba-lab/2019/09/24/postdoctoral-position-machi… Optogenetic Examination of Hippocampal Microcircuits: https://sites.lsa.umich.edu/diba-lab/2019/09/24/new-postdoctoral-position-o… Please encourage qualified candidates to apply. Thanks, Kamran Kamran Diba, PhD Associate Professor, Dept of Anesthesiology Affiliate, Dept of Biomedical Engineering Faculty, Applied Physics Program Faculty, Neuroscience Graduate Program University of Michigan Medical School 1150 W. Medical Center Dr. 7433 Med Sci I, SPC 5615 Ann Arbor, MI 48109-5615 ----------------------------------------------------- http://sites.lsa.umich.edu/diba-lab/ ----------------------------------------------------- office: 1-734-764-5502 lab: 1-734-647-9914

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Faculty Positions in Neuroscience
by Yaroslav Molkov Sept. 25, 2019

Sept. 25, 2019

The Neuroscience Institute at Georgia State University (GSU) invites applications for up to two tenure track positions at the rank of Assistant Professor. Preference will be given to individuals using state-of-the-art cross disciplinary approaches incorporating molecular, genetic/genomic, computational, or quantitative methods. Candidates must hold a Ph.D. or M.D./Ph.D. with evidence of excellence in research and the ability to establish a vigorous, externally funded research program while contributing to the Neuroscience Institute’s graduate and undergraduate teaching. The ideal research program would synergize with existing strengths in the Neuroscience Institute (see http://neuroscience.gsu.edu) and GSU’s interdisciplinary University Research Centers ( https://research.gsu.edu/about/) Georgia State is an enterprising R-1 university located in the heart of downtown Atlanta, a vibrant international city in the Southeastern U.S. GSU enrolls and graduates one of the most diverse student bodies in the nation. The Institute is committed to serving this student body and advancing innovative research by building a diverse faculty. Applicants should provide a full curriculum vita, names and contact information for three references, and a statement of research plans and teaching philosophy (5 page limit) that includes their views and experience related to the Institute’s goal of serving a diverse student body in its educational activities. Applications can be submitted either electronically in PDF format to nisearchcommittee(a)gsu.edu or in hard copy to: Chair of the Neuroscience Institute Faculty Search Committee, Neuroscience Institute, PO Box 5030, Georgia State University, Atlanta, GA 30302-50310. Review of applications will begin November 1, 2019, and continue until the position is filled. Georgia State University is an Equal Opportunity/Affirmative Action Employer and does not discriminate against applicants due to race, ethnicity, gender, veteran status, or on the basis of disability or any other federal, state or local protected class.

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Open research position in Excellence Cluster “Science of Intelligence” in Berlin (PhD/Postdoc)
by Sprekeler, Henning Sept. 25, 2019

Sept. 25, 2019

A research position (PhD/Postdoc) is now available at TU Berlin within the Excellence Cluster “Science of Intelligence” (www.scienceofintelligence.de) The goal is to use artificial neural networks to study the relation between network architecture and task properties. The project is supervised by Joerg Raisch (control theory) and Henning Sprekeler (computational neuroscience), and includes a tight collaboration with the lab of John-Dylan Haynes (neuroimaging). The position is fully funded for 3 years. Salary is commensurate with experience, but should allow a comfortable life in Berlin. Envisaged starting date is December 1. The application deadline is October 10. For more information about the Sprekeler and Raisch labs, check out our website: http://www.sprekelerlab.org<http://www.sprekelerlab.org/> http://www.control.tu-berlin.de/ More information on the project and how to apply online can be found here: https://www.scienceofintelligence.de/call-for-applications/open-positions/1… We’re looking forward to your application. Best wishes, Henning --- Henning Sprekeler Technische Universität Berlin & Bernstein Center for Computational Neuroscience Berlin Email: h.sprekeler(a)tu-berlin.d<mailto:h.sprekeler@tu-berlin.de>

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Bioinformatician and postdoc job opportunities - De Strooper Lab
by Lyn Sept. 24, 2019

Sept. 24, 2019

Dementia is the greatest health challenge of our century. The UK Dementia Research Institute (UK DRI) is the biggest UK initiative supporting research to fill this gap. Research from UK DRI at UCL covers the journey from the patient to the laboratory and back to the patient with improved diagnosis, biomarkers and candidate therapies put to the test. We are currently recruiting for postdocs in the De Strooper Lab, with opportunities in bioinformatics and neurodegeneration. Posts are full-time and will be based at the Crick. Salary from £35,965 per annum for postdoctoral appointments and £44,674 per annum for senior postdoctoral appointments, inclusive of London Allowance. This is an excellent chance to work on high impact, state-of-the-art projects in a stimulating and social international research environment, undertaking world-class science under the guidance of a leader in Alzheimer’s biology. Detailed information can be found online: Bioinformatician https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTgyNDczNCZ2dF90… Research Fellow https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTgyNDgzNCZ2dF90… Any questions can be directed to Laura Allum, Head of HR - l.allum(a)ucl.ac.uk Laura Allum Head of HR, UK DRI HQ UK Dementia Research Institute Email | l.allum(a)ucl.ac.uk Web | www.ukdri.ac.uk Twitter | @UKDRI

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PhD positions in Computational Cognitive Neuroscience (Max Planck Institute CBS, Leipzig, Germany)
by Martin Hebart Sept. 24, 2019

Sept. 24, 2019

The independent research group Vision and Computational Cognition (led by Dr. Martin Hebart) at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany, invites applications for PhD students. *Our research group* seeks to understand how humans recognize and categorize visually-perceived objects. Towards this goal, we use a wide range of behavioral and neuroimaging methods, including visual psychophysics, online crowdsourcing, functional MRI and magnetoencephalography (MEG). The emphasis lies on identifying and characterizing reproducible and interpretable behavioral and brain activity patterns that serve as a basis for our understanding of mental and neural representations of objects. *The Max Planck Institute* is equipped with excellent neuroimaging research facilities (several Siemens 3T and 7T MRI scanners, 306-channel MEG, EEG, virtual reality, eye-tracking) and offers dedicated support staff. Leipzig has been called “Germany’s new cultural hot spot“ (The Guardian) and is located just a little over an hour south of Berlin. *The successful applicant* will have a passion for visual and cognitive neuroscience, with good analytical and quantitative skills, and the ability to work both independently and as part of a team. Candidates are expected to have experience in the analysis of behavioral or neuroimaging data (e.g. fMRI, MEG, or EEG) and have good programming skills in Python, Matlab,or R. Experience with machine-learning methods (e.g. Scikit-Learn, PyTorch, TensorFlow), data/code sharing platforms (e.g. GitHub, Docker), or basic web programming (HTML, JavaScript) are desirable. Scientific publications are not required; however, applicants are expected to demonstrate scientific writing skills. The expected starting date is flexible but no earlier than February 1st, 2020. The position is funded for three years, with the possibility of an extension for an additional year. For the full job advertisement including more information about the group, qualifications, required documents and application procedures, please go to http://www.cbs.mpg.de/vacancies (subject heading: *“PhD 14/19”*). All applications received by *November 15th, 2019* will be considered. In case of questions, please contact Martin Hebart at hebart(a)cbs.mpg.de <hebart(a)cbs.mpg.de>.

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Postdoc position in Computational Cognitive Neuroscience (Max Planck Institute CBS, Leipzig, Germany)
by Martin Hebart Sept. 24, 2019

Sept. 24, 2019

The independent research group Vision and Computational Cognition (led by Dr. Martin Hebart) at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany, invites applications for a postdoctoral researcher. *Our research group *seeks to understand how humans recognize and categorize visually-perceived objects. Towards this goal, we use a wide range of behavioral and neuroimaging methods, including visual psychophysics, online crowdsourcing, functional MRI and magnetoencephalography (MEG). The emphasis lies on identifying and characterizing reproducible and interpretable behavioral and brain activity patterns that serve as a basis for our understanding of mental and neural representations of objects. *The Max Planck Institute* is equipped with excellent neuroimaging research facilities (several Siemens 3T and 7T MRI scanners, 306-channel MEG, EEG, virtual reality, eye-tracking) and offers dedicated support staff. Leipzig has been called “Germany’s new cultural hot spot“ (The Guardian) and is located just a little over an hour south of Berlin. *The successful applicant* will have a strong interest in the analysis of large-scale neuroimaging datasets using encoding models and machine-learning methods. Candidates are expected to have considerable experience in the analysis of neuroimaging data, strong programming skills in Python or Matlab, and a solid understanding of inferential statistics. Experience with machine learning-methods and related tools (e.g. Scikit-Learn, PyTorch/TensorFlow) and data/code sharing platforms (e.g. GitHub, Docker) are desirable. Candidates are expected to have a PhD in psychology, cognitive science, neuroscience, computer science, or a related field. The expected starting date is flexible but no earlier than February 1st, 2020. The position is funded for three years, with the possibility of an extension for an additional year. For the full job advertisement including more information about the group, qualifications, required documents and application procedures, please go to http://www.cbs.mpg.de/vacancies (subject heading: *“PD 15/19”*). All applications received by *November 15th, 2019* will be considered. In case of questions, please contact Martin Hebart at hebart(a)cbs.mpg.de.

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Workshop on big models and big data at SFN 2019
by Carnevale, Nicholas Sept. 23, 2019

Sept. 23, 2019

Space is still available in the *NSG and HPAC – Large Scale Simulations and Data Processing* workshop, which will be held in Chicago on Saturday, Oct. 19, 2019, as a satellite to the SFN 2019 meeting. Come to this workshop to learn about high performance and high throughput computing resources that can help you deal with big data sets or computationally intensive modeling projects. Discover what's in the pipeline, meet the developers, and find out how you can participate and/or take advantage of resources that are already freely available. But act quickly, because the *registration deadline is Thursday, October 10*. See http://www.nsgportal.org/NSG_HPAC_SfN2019_Wkshop.web.htm for the workshop's program, and https://neuron.yale.edu/neuron/static/courses/nsg2019/nsg2019.html for the online registration form. --Ted

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PostDoc in decision making & learning (Berlin/Potsdam)
by SoyoungQ Park Sept. 23, 2019

Sept. 23, 2019

Dear all, we are seeking for a DFG-funded postdoctoral researcher to work on learning and decision making ( http://www.dife.de/jobs-karriere/stellenangebote/detail.php?id=524&lang=en) I would appreciate it very much if you forward this to interested candidates. Have a great week! Best regards Soyoung

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NIH-funded Postdoc / Software Engineer position to work on tool for multiscale modeling of brain circuits
by Salvador Dura Sept. 21, 2019

Sept. 21, 2019

A Postdoc or Software Engineer position is available at the State University of New York (SUNY) Downstate Medical Center (Brooklyn, New York) to develop and disseminate NetPyNE, a tool for data-driven multiscale modeling of brain circuits. The position is funded by a recently awarded 5-year NIH grant. For more details on the software tool see our recent eLife publication (https://elifesciences.org/articles/44494 <https://elifesciences.org/articles/44494>) and tool website (www.netpyne.org <http://www.netpyne.org/>). The successful candidate would be a salaried employee of the University with a competitive remuneration and benefits package. The position is initially for 1 year with renewal of up to 5 years. Responsibilities: - Improve the software tool to ensure its reliability, robustness and reproducibility. - Collaborate with an external software company to extend the tool's graphical user interface (GUI). - Update the tool's online documentation and develop interactive tutorials. - Organize, prepare and teach conference workshops/tutorials and yearly courses to train users. - Provide ongoing support to neuroscience researchers across the world who use the tool to model different brain regions and phenomena (see www.netpyne.org/models <http://www.netpyne.org/models> and www.netpyne.org/forum <http://www.netpyne.org/forum>) - Encourage, coordinate and manage open source code contributions from interns, graduate students or researchers (usually online via GitHub: https://github.com/Neurosim-lab/netpyne <https://github.com/Neurosim-lab/netpyne>). - Continue ongoing collaborations with other neuroscience initiatives, including Open Source Brain (www.opensourcebrain.org <http://www.opensourcebrain.org/>), Neuroscience Gateway (www.nsgportal.org <http://www.nsgportal.org/>), Human Neocortical Neurosolver (www.hnn.brown.edu <http://www.hnn.brown.edu/>) and Human Brain Project Collaboratory (www.humanbrainproject.eu <http://www.humanbrainproject.eu/>). Required: - MSc (or equivalent degree) in Engineering, Computer Science or related discipline. - Expertise programming in Python, including tools for scientific computing (numpy, scipy, pandas, etc), with 5+ years of demonstrable experience. - Experience (3+ years) in collaborative software development as part of a team. - Experience writing unit tests, debugging code, using profiling tools and refactoring existing code bases to improve maintainability. - Proficiency with Git/Github and Linux (shell scripting, ssh, etc) - Experience giving presentations, tutorials and/or product demonstrations. - Spoken and written English language proficiency Desired: - Experience in research/academic environment and/or neuroscience background. - Experience in GUI design/implementation using JavaScript. - Experience with the NEURON simulator using the Python interpreter. - Experience running parallelized large-scale simulations on supercomputers. - Experience in data science, data visualization and machine learning. How to apply: Please send your CV, a brief cover letter, and contact information for 3 references to Salvador Dura-Bernal (salvaordura(a)gmail.com <mailto:salvaordura@gmail.com>)

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Postdoc in neural data analysis at UCSD
by Gal Mishne Sept. 20, 2019

Sept. 20, 2019

A postdoctoral position is available in the research group of Gal Mishne in the Halıcıoğlu Data Science Institute (HDSI) at UC San Diego. This NIH-funded position includes research on multimodal data analysis, manifold representations of neural activity and multiscale modeling of motor learning. The position offers excellent interdisciplinary training possibilities at the intersection of machine learning, applied mathematics and computational neuroscience, and includes collaboration with experimental neuroscientists. The position is open immediately as of September 2019. Qualifications: Applicants should have (or expected to get in a near future) Ph.D. in electrical/biomedical engineering, computer science, applied mathematics, neuroscience, or other related fields. Applicants should have strong quantitative and programming skills, a track record of published papers and a strong interest in biomedical applications. Preferred Qualifications: Prior experience in the areas of machine learning / data-driven methods, signal processing and/or computational neuroscience, will be viewed favorably but are not strictly required. The position is for one year with renewal for a second and third year pending satisfactory progress. To apply for the position, please e-mail your CV, brief research statement and the contact information for three references to Gal Mishne at gmishne(a)ucsd.edu or at https://academicjobsonline.org/ajo/jobs/14703. Women and minorities are strongly encouraged to apply. The Halıcıoğlu Data Science Institute is an academic unit at UC San Diego with a focused mission - to lay the groundwork for the scientific foundations of this emerging discipline, develop new methods and infrastructure, and train students, faculty and industrial partners to use data science in ways that will allow them to solve some of the world’s most pressing problems.

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NeuroEng 2019, Abstract Submission Extended until October 4, however Early bird registration ends tonight.
by Steven Wiederman Sept. 20, 2019

Sept. 20, 2019

NeuroEng 2019 is the 12th Australasian Workshop on Computational Neuroscience and Neural Engineering to be held in Adelaide, Australia, November 29-30. Due to several requests, Abstract submission for NeuroEng 2019 is extended until October 4th. However, Early Bird Registration ends midnight tonight (Note GMT+10). You can register at this link <%20http:/www.conferenceonline.com/conference_invitation/22847/?key=4FB9B222-4F05-4D7E-91F6-0D70018F77AB> or via neuroeng.org.au Keynote speakers include Professor Barbara Webb (University of Edinburgh) and Professor Yves De Koninck (Univeriste Laval). We also have talks by Prof Andre van Schaik (WSU), Prof David Grayden (Uni Melbourne), Prof Geoff Goodhill (QBI), A/Prof Pulin Gong (Uni Sydney), Prof Mark Jenkinson (Oxford) and many others. Topics include: Neurophotonics, Theoretical, Mathematical and Computational Neuroscience, Neuroprosthetics and Brain Machine Interfaces, Neural Modelling and Engineering, Neuromorphic Engineering, EEG Analysis, Neural Information Processing, Neuroinformatics, Cognitive Modelling, Neuroimaging and Connectomics, Brain Dynamics and Neurophysics. If you have any questions, please do not hesitate to contact me. regards, Steve Dr Steven Wiederman +61 403 079 575, steven.wiederman(a)adelaide.edu.au<mailto:steven.wiederman@adelaide.edu.au>

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POSTDOC Neural Dynamics of Temporal and Spatial Memory
by Andre Longtin Sept. 19, 2019

Sept. 19, 2019

A theoretical/computational neuroscience postdoctoral position is available immediately in the Neurophysics and Nonlinear Dynamics group of André Longtin in the physics department and Centre for Neural Dynamics of the University of Ottawa. I am looking for someone trained in nonlinear dynamics and neural modeling, with a background in either physics or mathematics, and perhaps engineering. The work will focus on the dynamics of a population of core recurrent neurons within the hippocampus and their role in temporal and spatial memory. It will involve bridging single cell and network circuitry. The candidate will be involved in theoretical-experimental collaborations with the Profs. Len Maler and Jean-Claude Béïque, and may interact with other theorists and experimentalists in the Centre. Experience with experimental collaborations will be considered an asset. The researcher will join uOttawa’s Brain and Mind Research Institute’s Center for Neural Dynamics. uOttawa’s Neuroscience community is highly dynamic and offers a rich array of collaborative opportunities. Ottawa, the capital of Canada, is a green, multi-cultural city that offers the highest standard of living in the country and is second worldwide for quality of life (Numbeo index, 2015). The city has many parks including the UNESCO World Heritage Rideau Canal, and is surrounded by an extensive greenbelt and the vast Gatineau Park twenty minutes away. This bilingual, safe and culturally-rich city lies along the border between the provinces of Ontario and Québec, is a few hours of driving away from Montréal and Toronto and served by an international airport. The position is for one year with automatic renewal for a second year following satisfactory progress, and a possible extension to a third year. Interested candidates should submit their CV and a paragraph about research interests to alongtin(a)uottawa.ca<mailto:alongtin@uottawa.ca> . The successful candidate would be a salaried employee of the University with a competitive remuneration and benefits package. André Longtin

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postdoctoral position Canavier lab New Orleans- hippocampal modeling
by Canavier, Carmen C. Sept. 18, 2019

Sept. 18, 2019

A Postdoctoral Researcher position is available in the computational neuroscience lab of Carmen Canavier in the School of Medicine, Department of Cell Biology and Anatomy at LSU Health Sciences Center in New Orleans, Louisiana, USA. The position is to study cholinergic contributions to hippocampal information processing in close collaboration with electrophysiologist Sonia Gasparini. The successful candidate will construct a morphologically and biophysically realistic model of a hippocampal CA1 pyramidal neuron to explain the observed frequency selectivity of different dendritic regions for slow versus fast gamma band inputs. Some network modeling will also be required for the project. If interested, please apply at https://www.lsuhsc.edu/Administration/hrm/CareerOpportunities/Home/Detail/3… The primary duties will involve linear and non-linear analyses, writing code, calibrating single neuron models, and generating predictions that lead to additional experiments. Candidates must have a Ph.D. in Neuroscience, Engineering, Mathematics, Physics, Computer Science or a related field of study. The ideal candidate would have experience with the simulation package NEURON and some knowledge of the hippocampus. Familiarity with nonlinear dynamics, signal processing, and coding in C and or python in a Linux environment is also desirable. If you have questions, please email Dr. Canavier at ccanav(a)lsuhsc.edu<mailto:ccanav@lsuhsc.edu>. LSUHSC is an Equal Opportunity Employer for females, minorities, individuals with disabilities and protected veterans.

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LASCON 2020 - VIII Latin American School on Computational Neuroscience (Call for applications)
by Antonio Roque Sept. 18, 2019

Sept. 18, 2019

**** Apologies for cross-posting **** VIII Latin American School on Computational Neuroscience - LASCON 2020 January 6-31, 2020, University of Sao Paulo, Sao Paulo, Brazil www.sisne.org/lascon LASCON Video <https://www.youtube.com/watch?v=10FDmMw2IbM> APPLICATION DEADLINE: October 5, 2019 SECOND ANNOUNCEMENT Dear Colleagues, Following the success of the previous editions of LASCON (Latin American School on Computational Neuroscience), I am pleased to announce the 8th LASCON, which will take place January 6-31, 2020 at the NeuroMat Center in the University of Sao Paulo, Sao Paulo, Brazil. LASCON aims at introducing young researchers and graduate and advanced undergraduate students to the use of computational and mathematical methods for modeling neurons and neural networks. The following topics will be covered: biophysically detailed single neuron models; reduced and simplified single neuron models; networks of biophysical and simplified neuron models; synaptic plasticity and learning; spike train analysis; statistical methods in neuroscience; models of extracellular fields; modeling of brain stimulation; predictive coding; dynamics of neuronal functional connectivity; and computational psychiatry. These subjects will be illustrated with the use of programs NEURON, neuroConstruct, XPP-AUTO, Matlab, NEST, Brian and the Virtual Brain. Students will have to work on small research projects (to be done in groups of two), which they will present orally at the end of the school. The following lecturers will be in charge of theoretical classes and tutorials: Aline Duarte, University of Sao Paulo, Sao Paulo, SP, Brazil Antonio Galves,University of Sao Paulo, Sao Paulo, SP, Brazil Arnd Roth, University College, London, UK Christophe Pouzat, Paris Descartes University, Paris, France Demian Battaglia, Aix-Marseille University, Marseille, France Eli Shlizerman, University of Washington, Seattle, WA, USA Emilio Kropf, Leloir Institute Foundation, Buenos Aires, Argentina Gaute Einevoll, Norwegian University of Life Sciences, As, Norway German Mato, Bariloche Atomic Center, San Carlos de Bariloche, Argentina Horacio Rotstein, New Jersey Institute of Technology, Newark, NJ, USA John Murray, Yale School of Medicine, New Haven, CT, USA Marcelo Reyes, Federal University of ABC, Sao Bernardo do Campo, SP, Brazil Mauricio Girardi-Schappo, University of Sao Paulo, Ribeirao Preto, SP, Brazil Mauro Copelli, Federal University of Pernambuco, Recife, PE, Brazil Renan Shimoura, University of Sao Paulo, Ribeirao Preto, SP, Brazil Risto Ilmoniemi, Aalto University, Espoo, Finland Rodrigo Cofre, University of Valparaiso, Valparaiso, Chile Sacha van Albada, Juelich Research Center, Juelich, Germany Salvador Durá-Bernal, State University of New York, New York, NY, USA Volker Steuber, University of Hertfordshire, Hatfield, UK William Lytton, State University of New York, New York, NY, USA The number of students is limited to 20 and applications should be made electronically via the application form in the school's web page ( www.sisne.org/lascon) Applicants are also requested to submit a detailed CV (in English) and to provide two letters of recommendation. The application deadline is October 5, 2019 (until midnight, US Pacific time). There is no registration fee for the school. Costs for accommodation will be covered by the school organization. Travel costs have to be covered by the students. Sao Paulo is the major transportation hub in South America, so it is possible to fly from basically anywhere in the world to its airports. In the selection procedure, priority will be given to Latin-American students, but students from other parts of the world are encouraged to apply as well. LASCON 2020 is an activity of the FAPESP Center for Neuromathematics (NeuroMat - http://neuromat.numec.prp.usp.br/) I am looking forward to see you in Sao Paulo. Best regards, Antonio Roque LASCON Director -- 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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Postdoc position in monkey electrophysiology at Ernst Strungmann Institute (Frankfurt, Germany)
by Scholvinck, Marieke Sept. 17, 2019

Sept. 17, 2019

We are hiring! We are looking for an enthusiastic postdoctoral researcher to lead the monkey work of the Zero-Noise Lab at the Ernst Strüngmann Institute for Neuroscience in Frankfurt, Germany. The position The Zero-Noise Lab investigates how neuronal population activity unfolds in real time during naturalistic behaviour, and how this compares between mouse and monkey. To this end, we conduct chronic electrophysiological recordings in the visual cortex of macaques and mice, while they are engaged in the same, naturalistic foraging task in a virtual environment. The lab is jointly headed by Marieke Schölvinck and Martha Nari Havenith, and funded by the Max Planck Society. In the lab, postdocs and PhD students focus on experiments in either mouse or monkey, but intensely work together to ensure that we constantly align and mutually learn from experiments across species. We are now looking for a postdoc to lead the monkey side of the lab, while developing their own ideas and research interests. Ideally, we would like you to start in spring 2020. The appointment is for three years initially, with the possibility of extension by another two years; the salary is in accordance with the regulations for academic personnel. You If you (are about to) hold a Ph.D., have experience with electrophysiological recordings in awake animals, and are eager to work in an interdisciplinary lab with multiple model species, we would love to hear from you! Additional skills that would be extremely valuable: - Programming skills (Matlab and/or Python) - Technical skills to build up an electrophysiology set-up - Experience with behavioural training How to apply If you're interested and for more information about the job, please send an email to Marieke (marieke.scholvinck(a)esi-frankfurt.de<mailto:marieke.scholvinck@esi-frankfurt.de>) and Martha (marthanari.havenith(a)gmail.com<mailto:marthanarihavenith@gmail.com>) before November 1, 2019. In your email, please explain your background, what you expect from your postdoc, and why you want to join us in Frankfurt. The application remains open until the position is filled. We look forward to hearing from you! Martha and Marieke

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Research Assistant in Learning Algorithms for Neuromorphic Computing at the University of Applied Sciences Stralsund on the shores of the Baltic Sea.
by André Grüning Sept. 17, 2019

Sept. 17, 2019

In the lab of Prof Gruening and within the EU-funded research project "The Human Brain Project" we are offering a fixed-term post until 31/03/2020 with the perspective of a further extension subject to continued project funding. The formal job ad can be found at https://www.hochschule-stralsund.de/host/aktuelles/stellenangebote/ (in German only), but feel free to contact me informally in person and in English at <mailto:andre.gruening@hochschule-stralsund.de>. You will be working in the area of artificial intelligence based on neuromorphic hardware. Neuromorphic hardware is a modern and active area of research with the aim to design devices for artificial intelligence that are based on the spike-based operation of biological nervous systems. The energy consumption of such systems for example promises to be an order of magnitude less than classical AI systems. Neuromorphic systems are being developed within academic research as well as in industry.  The work will be carried out in close cooperation with Dr J Schemmel (University Heidelberg) and Prof Steve Furber (University of Manchester, one of the co-inventors of the ARM processor). Your job responsibilities include the following: - Contribution to and cooperation within the international framework of the EU/H2020 Flagship project “The Human Brain Project”, see <https://www.humanbrainproject.eu/> in the area described above. - The development, implementation and evaluation of learning rules for artificial neural networks on neuromorphic hardware.  - Project management including financial reporting.  We expect from you:  - A good MSc degree or a PhD in a relevant area, for example computer science, mathematics, physics, cognitive and neuroscience or engineering.  - Programming experience, for example Python, C, C++. Experience with embedded systems is a plus.  - Expertise in the area of neuronal networks. - Keen interest to familiarise yourself with the neuroscientific foundations of the project. - Solid mathematical expertise. - Experience with Unix-like operating systems.  - Experience in the write up of scientific reports and publications. Experience with LaTeX is a plus.  - Experience in presenting research results.  - A conscientious, independent and self-motivated attitude towards work.  We offer: - A diverse, interesting and challenging job at an innovative, modern and family friendly institution in the lively world-heritage and Hanseatic town of Stralsund. - The opportunity to pursue a PhD where applicable. - A work contract subject to the collective labour agreement of the public service of the German federal states (TB-L). - Remuneration up to pay grade 13 subject to personal and collective qualifying conditions. - 38 hrs/week; part-time and flexible work is possible. The University of Applied Science Stralsund is keen to increase the proportion of female employees in all areas where they are underrepresented. We therefore expressly invite qualified women to apply. As a certified family-friendly institution we support actions to reconcile family and job. Childcare can be arranged for a potential future interview. At an equal level of professional aptitude, applicants with recognised disabilities or equivalent (please provide evidence) will be preferred. For details of the job description, please contact Prof André Grüning (E-Mail: andre.gruening(a)hochschule-stralsund.de)  According to §68 Abs 3 PersVG M-V, the Employee Committee (Personalrat) gets involved into HR matters for research staff only on the candidate’s request. If desired, please include such request in free form in your application documents. Please send your job application with all relevant documents in a single pdf file to   - bewerbungpersonal(a)hochschule-stralsund.de or by mail to - Hochschule Stralsund Vertrauliche Personalangelegenheit Dezernat Personal, Haushalt und Controlling Zur Schwedenschanze 15 18435 Stralsund Germany on or before the deadline of 06.10.2019.  The protection of your personal data is very important to us. We will therefore collect, process and utilise any data arising in the application process only in line with the applicable data protection regulations.  As application documents cannot be returned, please submit copies only. The University of Applied Sciences Stralsund does not cover any application expense. -- Prof. Dr. André Grüning -- Mathematik und Künstliche Intelligenz Fakultät Elektrotechnik und Informatik Hochschule Stralsund -- Mathematics and Computational Intelligence Faculty of Electrical Engineering and Computer Science University of Applied Sciences Stralsund -- 18435 Stralsund Deutschland/Germany

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Two PhD positions in Computational and Cognitive Neuroscience
by Alireza Soltani Sept. 17, 2019

Sept. 17, 2019

The Computational and Cognitive Neuroscience Lab (CCNL) at Dartmouth has openings for two enthusiastic graduate students to work on exciting projects on reward-based learning and decision making. One of the projects (funded by NIH) involves close collaboration with Alicia Izquierdo's lab at UCLA to investigate circuit-level neural mechanisms of adaptive learning. Starting date for one of the positions can be as early as Jan 2020 and the other position begins Sep 2020. A few recent relevant papers include: 1. Soltani A􏰀, Izquierdo A􏰀 (2019). Adaptive Learning under Expected and Unexpected Uncertainty. Nature Reviews Neuroscience <https://doi.org/10.1038/s41583-019-0180-y>. 2. Farashahi S, Donahue C, Hayden B, Lee D, Soltani A􏰀 (2019). Flexible Combination of Reward Information across Primates. Nature Human Behaviour <https://doi.org/10.1038/s41562-019-0714-3>. 3. Stolyarova A, Rakhshan M, Peters MA, Lau H, Soltani A􏰀, Izquierdo A􏰀 (2019). Contributions of Anterior Cingulate Cortex and Basolateral Amygdala to Learning and Choice under Perceptual Uncertainty. Nature Communications (accepted) [available on bioRxiv, 655860 <https://www.biorxiv.org/content/10.1101/655860v1>] For more recent publications from the lab please visit http://ccnl.dartmouth.edu <http://ccnl.dartmouth.edu/> Interested students please contact Alireza Soltani (soltani(a)dartmouth.edu)

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[jobs] Ph.D. positions in Neuromorphic Hardware and Robotics at KTH Stockholm
by Jörg Conradt Sept. 16, 2019

Sept. 16, 2019

Here a call for open Ph.D. positions in Neuromorphic Hardware and Robotics (algorithms and systems), exact project flexible. Application deadline September 26. https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:287447 Would you know of anyone interested? Please forward. Any information needed? Please inquire informally by brief email. Information on our work here (“old and somewhat outdated” pages from my former group): http://tum.neurocomputing.systems/en/research/index.html Thank you! I am very much looking forward to increasing the group at KTH. Jörg Jörg Conradt Prof. Dr. KTH Royal Institute of Technology Computational Science and Technology School of Electrical Engineering and Computer Science Lindstedtsvägen 5, SE-114 28 Stockholm, Sweden Phone: +46-8-790 6231 Email: conr(a)kth.se<mailto:conr@kth.se>, Web: www.kth.se<http://www.kth.se/>

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Job opening in computational neuroscience in Juelich, Germany: Scientific Writer (user-level documentation of NEST)
by Martina Reske Sept. 13, 2019

Sept. 13, 2019

The Institute of Neuroscience and Medicine (INM) at Research Center Jülich, Germany, investigates the structure and function of the human brain on different spatial and temporal scales within the research program “Decoding the Human Brain”. The Supercomputing Centre is home of one of the most powerful machines and has a leading role in the European exascale strategy. Basic neuroscience connects the two research areas as it heavily relies on modeling and simulation, which are necessary to approach the brain’s immense complexity, manage the huge amount of resulting data, and develop reliable control techniques. The department INM-6, Computational and Systems Neuroscience (www.csn.fz-juelich.de<http://www.csn.fz-juelich.de>), develops mathematical models of neuronal dynamics and function. Model-driven analyses of brain activity and structure as well as simulation of biologically realistic models form the core of our work. Among others, the INM-6/IAS-6 is actively involved in the EU flagship project „Human Brain Project“ (HBP, https://www.humanbrainproject.eu/) Together with its partners, INM-6 develops analysis tools and the leading simulation code (NEST) for brain scale networks with cellular resolution in an open source approach (http://www.nest-initiative.org/) NEST has been under continuous development for 20 years and is serving a worldwide community. We are looking to recruit a Scientific Writer Your Job: * Production and maintenance of the user-level documentation of NEST in English, in dialog with software developers and neuroscientists. Depending on the agreed upon working hours, the task extends to a second software tool (Elephant). * Production of short videos supporting the documentation * Production of scientific texts, especially in English, for the institute’s website or institute reports in close collaboration with scientists and the heads of the institute * PR activities: Supporting the creation of PR material in English (e.g. flyer, brochures) * Communication with the internal communications department * Close collaboration with heads of the institute and project partners, especially within the Human Brain Project * Regular organization of and attendance of project meetings and videoconferences together with or substituting the task or workpackage leader Your Profile: * Completed study in natural sciences, ideally with PhD * Experience in neuroscience, physics, or computer science * Skilled in text processing software (Latex, Word) * Good knowledge of C++ * Excellent competence in German and English, especially with regard to drafting technical and administrative texts * Excellent communication skills and ability to work in a team * High ability to work in an interdisciplinary, international team * Proactive attitude * Willingness to travel Beneficial: * Work experience abroad * Expertise in Computational Neuroscience * Professional experience in above-mentioned areas of responsibility Our Offer: * International, interdisciplinary working environment on a green integrated campus located in the triangle of 3 major university cities Cologne-Duesseldorf-Aachen * High visibility through participation in an Open Source community project and work on key technologies of the European Human Brain Project * Responsibility in world-class science environment 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 * Limited until 30.04.2021 with possible longer-term prospects * Possibility, to apply for the desired level of working hours from 50% to a full position * 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 06.10.2019, quoting the reference number 2019-335. Questions about the vacancy? Contact us by mentioning the reference number 2019-335: career(a)fz-juelich.de<mailto:career@fz-juelich.de?Subject=Questions%20about%20the%20vacancy%202019-335&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 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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Multiple Postdoctoral Positions at Indiana University
by Franco Pestilli Sept. 12, 2019

Sept. 12, 2019

Post-doctoral fellow position(s) to the study of the natural visual environments of infants and young children and their implications for visual, cognitive and language development and machine learning at Indiana University. The larger collaborative project involves analyses of the properties of a very large corpus of head camera images (500 million) collected by infants 1 to 24 months of age with respect to low, mid and higher level properties, the examination of the statistical structure of early learned visual categories (and their in-home naming by parents), the design and implementation of computational experiments using machine learning and computer vision models, as well as experiments with infants testing novel predictions from these analyses and models. The post-doctoral fellow(s) will take part in the intellectually rich cognitive science, computational neuroscience, vision, developmental, and computer science communities at Indiana University under the Emerging Areas of Research Initiative titled Learning: Brains, Machines and Children. Collaborators on the larger project include Linda Smith, David Crandall, Franco Pestilli, Rowan Candy, Jason Gold, and Chen Yu. This is an excellent opportunity for individuals with past training in one or more of the following: infant statistical learning, infant visual development (including face and object perception), visual neuroscience, adult vision, computer vision. Other areas of training with computational and/or experimental backgrounds will be considered. Please apply to Linda Smith, smith4(a)indiana.edu <mailto:smith4@indiana.edu>, with Visual Environments in the subject heading by sending a cover letter stating your interest in this project, your cv, and a research statement. References will be requested after initial contact. The filling of these position(s) are open in their timing; although we hope to appoint one position this fall, January or this spring are also possible start dates. Linda B. Smith Distinguished Professor Psychological and Brain Sciences www.iub.edu/~cogdev <http://www.iub.edu/~cogdev> Franco Pestilli, PhD Associate Professor Psychology <http://psych.indiana.edu/>, Neuroscience <http://www.indiana.edu/~neurosci/> and Cognitive Science <http://www.cogs.indiana.edu/> Engineering <https://www.engineering.indiana.edu/people/profile.html?profile_id=528>, Computer Science <https://www.cs.indiana.edu/>, and Optometry <http://optometry.iu.edu/> by courtesy Midwest Big Data Hub <http://midwestbigdatahub.org/> | brainlife.io <http://www.brain-life.org/>

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Postdoc position: Bernstein Center for Computational Neuroscience Berlin
by Sprekeler, Henning Sept. 12, 2019

Sept. 12, 2019

A postdoc position is now available in the lab of Henning Sprekeler at TU Berlin. If you’re interested in modeling neural circuits, their computational functions and their plasticity, please apply. The position is fully funded for 5 years. Salary is commensurate with experience, but should allow a comfortable life in Berlin. Starting date asap. Applications will be considered until the position is filled. For more information about the lab and on how to apply, check out our website: http://www.sprekelerlab.org. I’ll be at the Bernstein Conference next week, so if you’re around and interested, please talk to me. Best wishes, Henning --- Henning Sprekeler Technische Universität Berlin & Bernstein Center for Computational Neuroscience Berlin Email: h.sprekeler(a)tu-berlin.de<mailto:h.sprekeler@tu-berlin.de>

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Tenure Track Professorship in Machine Learning
by Robert Legenstein Sept. 12, 2019

Sept. 12, 2019

The Department of Computer Science and Biomedical Engineering at Graz University of Technology is offering a tenure track professorship in Machine Learning. We are looking for outstanding candidates with a research focus in the field of Machine Learning methods. Specific research topics include, but are not restricted to, the development and analysis of machine learning algorithms and the development of neuromorphic learning algorithms. The professorship will be part of the Institute of Theoretical Computer Science. The institute is an internationally renowned research environment engaged in fundamental research at the intersection of the fields of Computational Neuroscience and Machine Learning with an emphasis on brain-inspired principles of computation and learning. The successfully candidate will complement the existing strengths at the institute with his/her own expertise and build an internationally visible group. He/she will be an engaged teacher in the Computer Science programs at the Bachelor’s, Master’s, and PhD level and will actively participate in academic self-administration. Application deadline is 26 November 2019. For details see: https://www.tugraz.at/fakultaeten/infbio/news/jobs-grants-calls/tenure-trac… -- Dr. Robert Legenstein Associate Professor Institute for Theoretical Computer Science Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.igi.tugraz.at/legi/ Follow @CompLegenstein on Twitter. ++43/316/873-5824 ----------------------------------

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HFSP-funded post-doc position
by Gergo Orban Sept. 12, 2019

Sept. 12, 2019

A postdoctoral position is available at the Computational Systems Neuroscience Lab (Department of Computational Sciences, Wigner Research Center for Physics, Budapest Hungary) to work on a project focussing on integrating prior information with current evidence in early vision. The project is an HFSP-funded collaboration between four labs: Peyman Golshani's (UCLA, mouse electrophysiology and imaging), Máté Lengyel’s University of Cambridge, theory), and Wolf Singer’s Lab (ESI, Frankfurt, monkey electrophysiology). The focus of the research project is how acquired knowledge can be integrated with incoming information during visual perception. Joining team members will work on novel population analysis techniques and/or develop computational theories of hierarchical computations. The position offers a chance to work actively with state-of-the-art machine learning techniques, to access advanced computing architectures and to get involved in cool experiments right from design of experiments, to develop predictions, and analysis of data. The ideal candidate has a strong mathematical background, preferably with a PhD in physics, computer science, or mathematics or other quantitative disciplines. Besides mathematical skills, the position requires competence in programming (e.g. matlab, R, python, or C++). Candidates with training or research experience in statistics, machine learning, computational modelling, dynamical systems, systems neuroscience are especially encouraged to apply. Training in neuroscience is not required but the applicant has to demonstrate his/her willingness to acquire the necessary background for the project. For informal inquiries please contact me by mail (orban.gergo(a)wigner.mta.hu <mailto:orban.gergo@wigner.mta.hu>) or by arranging a meeting at CCN19 in Berlin (our posters are PS-1B.35, PS-2A.19, PS-2A.40, PS-2B.44). Please send applications, including CV, a research statement and contact information of two references by email to Gergo Orban before 20 October. For more information about the lab visit our home page: http://golab.wigner.mta.hu <http://golab.wigner.mta.hu/> or sample our recent papers: Gáspár ME, Polack P-O, Golshani P, Lengyel M, Orbán G (2019) Representational untangling by the firing rate nonlinearity in V1 simple cells eLife, 8:e43625 doi: 10.7554/eLife.43625 Bányai M, Lazar A, Klein L, Klon-Lipok J, Stippinger M, Singer W, Orbán G (2019) Stimulus complexity shapes response correlations in primary visual cortex Proc Natl Acad Sci USA, 10.1073/pnas.1816766116. Orbán G, Berkes P, Fiser J, Lengyel M (2016) Neural variability and sampling-based  probabilistic representations in the visual cortex. Neuron, 92:530–543 ______________ Gergo Orban, PhD Computational Systems Neuroscience Lab MTA Wigner Research Centre for Physics 13-106, 29-33 Konkoly-Thege St Budapest, 1121, HU T: +36 1 392 2732 E: orban.gergo(a)wigner.mta.hu <mailto:orban.gergo@wigner.mta.hu> W: http://golab.wigner.mta.hu <http://golab.wigner.mta.hu/>

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COSYNE 2020: Meeting announcement and Call for workshop proposals
by Tomas Hromadka Sept. 11, 2019

Sept. 11, 2019

==================================================== 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 ==================================================== ---------------------------------------------------- MEETING ANNOUNCEMENT ---------------------------------------------------- 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. IMPORTANT DATES Workshop pre-proposal deadline: 06 October 2019 Workshop proposal deadline: 10 November 2019 Abstract submission opens: 01 October 2019 Abstract submission deadline: 31 October 2019 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) When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting, due to space constraints. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. 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 ----------------------------------------------------------------------- CALL FOR WORKSHOP PROPOSALS ----------------------------------------------------------------------- PRE-PROPOSAL DEADLINE: 06 October 2019 FULL PROPOSAL DEADLINE: 10 November 2019 A series of workshops will be held after the main Cosyne meeting. The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. - There will be 4-8 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning (8.00-11.00 AM) and afternoon (4.30-7.30 PM) sessions. - Workshops will be held in Breckenridge, CO, a ski village 80 miles west of Denver. Buses from the main conference will be provided. - Workshop speakers do *not* receive free registration, travel expenses, or accommodation for either the main meeting or the workshop sessions. Organizers should let invited speakers know that they are expected to pay for workshop registration fees Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers, submitting a final schedule for the workshop program, and moderating the discussion. Organizers can, but need not, be speakers. One complimentary (free) organizer registration is provided per workshop. For workshops with two organizers, the free registration can be given to one of the organizers or split evenly between them. Any required multimedia resources beyond a projector, screen, and microphones will be the responsibility of the workshop organizers to coordinate with Cosyne and Breckenridge staff. EVALUATION CRITERIA As stated above, the goal of Cosyne workshops is to provide an interactive, informal forum for discussions. Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. Workshop proposals will be evaluated by the Cosyne Workshop Chairs, and a subset of the proposals will be selected. The proposals will be evaluated according to the following six metrics (which will be weighted equally): 1. Relevance to the Cosyne community 2. Integration of experimental and theoretical issues 3. Current interest in the topic in the scientific community 4. Potential for new research directions and interactions to emerge 5. Distinctive scope/approach compared to other workshops (including previous years’) 6. Diversity and equity in the proposed speakers PRE-PROPOSALS In an effort to coordinate submissions, workshop organizers are *strongly encouraged* to submit a pre-proposal by *06 October 2019.* Submission instructions for workshop (pre)-proposals are available at Cosyne.org -> Workshops. Pre-proposals may be shared among submitters to reduce topical overlap or facilitate merging of workshops. Pre-proposals are not mandatory, but workshops with a pre-proposal will have priority. In order to foster discussion within Workshops and reduce overlap between workshops, organizers should inform invited speakers that a speaker can take part in no more than two Workshops. PRE-PROPOSALS should include: - Name(s) and email address(es) of the organizers (no more than 2 organizers per session, please). A primary contact should be designated. - A title. - A brief description of 1) what the workshop will address and accomplish, 2) why the topic is of interest, 3) who is the targeted group of participants. - Names of potential invitees, with indication of confirmed speakers. Preference will be given to workshops with confirmed speakers. - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs two days, please explain why. - A brief resume of the workshop organizer(s) along with a short list of workshop-relevant publications (about half a page total). Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and have plenty of breaks. We recommend keeping the number of talks small (i.e., fewer than 10 talks per day). FULL PROPOSALS should include the list of confirmed speakers in addition to components required for a pre-proposal. WORKSHOP COSTS Detailed registration costs, etc, will be available at www.cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. Organizers should let invited speakers know that they are expected to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complimentary (free) organizer registration is provided per workshop. For workshops with 2 organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE 2020 WORKSHOP CHAIRS Catherine Hartley (NYU) and Blake Richards (McGill) QUESTIONS email: workshops [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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PostDoc position: Indianapolis-Paris
by Alexey Kuznetsov Sept. 11, 2019

Sept. 11, 2019

*POSTDOCTORAL POSITION* *Indianapolis, Indiana, United States; Paris, France* A one-year postdoctoral position is available for a project on computational modeling of the influence of alcohol on the cortico-striatal signaling. The post-doc will design a biophysical model of the cortico-striatal brain circuitry affected by alcohol. The position is available beginning December 2019 for one years. The post-doc will work with Prof. Kuznetsov (Mathematics Dept. IUPUI) and collaborate with experimentalists Prof. Atwood (IUSM) and Prof. Lapish (Psycology Dept. IUPUI). For the first part of the project the fellow will have the opportunity for an extended stay in Paris France together with the PI to collaborate with Prof. Gutkin (ENS Paris). The locations provide an excellent environment for collaborative research in quantitative biosciences. *Qualifications*: Applicants should have a Ph.D. in Mathematics, Physics, or a related field, a background in Dynamical Systems, programming experience and working knowledge in Computational Neuroscience. *How to Apply:* Send your CV, list of publications, research statement, and contact information for three references to Prof. Alexey Kuznetsov via e-mail: askuznet(a)iupui.edu, or by regular mail: 402 N. Blackford Street, LD 270, Indianapolis, IN 46202. IUPUI is an Equal Opportunity/Affirmative Action Institution. Individuals who require a reasonable accommodation in order to participate in the application process must notify Cindy Ritchie at 402 N. Blackford Street, LD 270, Indianapolis, Indiana 46202 or call (317) 274-6920, a reasonable time in advance. IUPUI strongly encourages applications from women and underrepresented minorities. Additional information about IUPUI and the Department is available at www.iupui.edu and www.math.iupui.edu. -- Alexey Kuznetsov Associate Professor Dept. of Mathematical Sciences, IUPUI Science Building, LD 270, 402 N. Blackford St., Indianapolis, IN

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Two PhD Positions in Machine Learning/Neuroimaging at Charité Berlin
by Stefan Haufe Sept. 11, 2019

Sept. 11, 2019

Dear all, The Brain and Data Science Lab of Stefan Haufe at Charité - Universitätsmedizin Berlin is looking to recruit two highly motivated PhD students. Appointments can be made for four years starting immediately. 1. Theory and practice of interpreting machine learning models Machine learning systems have recently set new standards for solving a wide range of problems by leveraging vast amounts of training data. But they have remained “black boxes” whose internal workings are too complex to be comprehensible by a human. Especially in the health domain, it is desirable to explain and visualize the decisions of ML models. Recently, it has been shown that many existing explanation methods can be misleading even when using simple linear ML models [Haufe et al., 2014; Kindermans et al., 2018]. In this PhD project, a bottom-up approach will be performed, in which correct interpretation will be defined axiomatically. The resulting definition will be used to benchmark novel and existing explanation methods using synthetic ground-truth data. The resulting methodology will also be applied to clinical use cases. 2. Estimating and characterizing EEG/MEG functional connectomes in aging and dementia The study of functional brain interactions promises to greatly enhance our understanding of mental diseases. EEG and MEG make it possible to brain dynamics at high temporal scales but suffer from low spatial resolution, which often leads to false detections of brain connectivity. While the problem has been overcome for linear connectivity metrics [Nolte et al., 2004; Haufe et al., 2013] it still persists for non-linear interactions such as phase-amplitude and amplitude-amplitude coupling, which have been postulated as possible mechanisms of brain communication. This PhD project will establish a best practice to reconstruct non-linear connectivity from EEG/MEG data. The developed pipeline will be applied to study brain connectivity in aging and neurological conditions (dementia) using big EEG/MEG datasets. Interpretable machine learning will further be used to relate functional connectomes to behavior and relevant clinical variables. The Brain and Data Science Group at Charité develops machine learning and signal processing methods for the analysis of non-invasive brain signals in health and disease. We are located at the Berlin Center for Advanced Neuroimaging (BCAN) on the beautiful historic Charité Campus Mitte in the center of Berlin, and are embedded in a stimulating inter-disciplinary research environment. The group is funded by an ERC starting grant of the European Union. Requirements: Candidates are expected to hold a very good MSc or equivalent degree preferably in a technical field (machine learning, computer science, statistics, mathematics, computational (neuro) science, data science, physics, electrical/biomedical engineering, etc.). All positions require a solid math/statistics background, proficiency in written English, and good coding skills (e.g., Matlab, Python, C++, Java). Prior experience with functional neuroimaging data is a plus. Applications should include a letter of motivation, a CV, transcripts and degree certificates, as well as (if available) references, an English-language writing sample, and a coding sample (e.g. link to a github project). Applications should be sent to stefan.haufe(a)charite.de until Oct 15th 2019. All attached documents should be contained in a single pdf. See braindata.charite.de for further information on the positions and our group. With best wishes, Stefan Haufe -- Stefan Haufe ERC Research Group Leader Charité - Universitätsmedizin Berlin Berlin Center for Advanced Neuroimaging (BCAN) Charitéplatz 1 Sauerbruchweg 4 10117 Berlin Tel: +49 30 450 639 639 Fax: +49 30 450 539 951 Web: braindata.charite.de

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post-doc position at the University of Bern
by Jean-Pascal Pfister Sept. 11, 2019

Sept. 11, 2019

The Department of Physiology, University of Bern, is looking to hire a theoretical and/or computational neuroscientist at the postdoctoral level. A PhD in computational/theoretical neuroscience or a closely related field, along with a desire to work tightly with experimentalists would be strongly recommended. The aim of the project is to (a) propose an experimentally testable theory of predictive coding, (b) derive specific testable predictions at the single cell resolution, (c) test them by analyzing existing experimental data obtained in the Department and (d) propose new experiments than can be conducted in the Department. The specificity of the project is the closed-loop interactions between theory and experiments. The candidate will have access to experimental data acquired within the research groups of Thomas Nevian, Shankar Sachidhanandam and Stéphane Ciocchi. These groups focus on cortical function, ranging from sensory perception and predictive processing to emotional state transitions and memory formation in head-fixed and freely moving mice. Supervision will be provided by Prof. Jean-Pascal Pfister of the Theoretical Neuroscience Group, along with close collaboration with the experimental groups. The candidate can further benefit from interactions with members of the computational neuroscience group of Walter Senn specializing in deep learning. Interested candidates can send their application and inquiries via email to pfister(a)pyl.unibe.ch <mailto:pfister@pyl.unibe.ch>. The application should include the following as one pdf document: letter of motivation, CV, contact details of 2 references, 1 page research statement covering future research goals and project interests. Deadline for application is the 31st of October 2019 or until the position is filled. --------------------------------- Prof. Jean-Pascal Pfister Department of Physiology University of Bern Bühlplatz 5 3012 Bern, Switzerland and Theoretical Neuroscience Group Institute of Neuroinformatics University of Zurich and ETH Zurich Winterthurerstrasse 190 8057 Zurich, Switzerland www.ini.uzh.ch/~jpfister <http://www.ini.uzh.ch/~jpfister> Tel: ++ 41 31 631 87 78

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Registration is open for NeuroEng 2019: The 12th Australasian Workshop on Computational Neuroscience & Neural Engineering (November 29-30)
by Steven Wiederman Sept. 10, 2019

Sept. 10, 2019

Bringing together computational neuroscientists and researchers at the interface between neuroscience and engineering (neuroeng.org.au<http://neuroeng.org.au/phpList/lt.php?id=fE0DA1oeU1VLVAgO>) NeuroEng 2019 will be hosted at The University of Adelaide, South Australia. Please feel free to distribute the NeuroEng poster available here.<http://neuroeng.org.au/phpList/lt.php?id=fE0DA1seU1VLVAgO> Keynote speakers: Professor Barbara Webb (University of Edinburgh) & Professor Yves De Koninck (Univeriste Laval) • Theoretical, Mathematical & Computational Neuroscience • Neuroprosthetics & Brain Machine Interfaces • Neural Modelling & Engineering • Neuromorphic Engineering • EEG Analysis • Neural Information Processing • Neuroinformatics • Cognitive Modelling • Neuroimaging & Connectomics • Brain Dynamics & Neurophysics The Abstract Template is available here<http://neuroeng.org.au/wordpress/wp-content/uploads/2019/07/NeuroEng2019_Ab…> Please email 1 page abstracts to admin(a)neuroeng.org.au<mailto:admin@neuroeng.org.au> (deadline, 20th September). In your email submission, please provide a preference for oral or poster presentation. Registration is now open at this link.<http://www.conferenceonline.com/conference_invitation/22847/?key=4FB9B222-4…> Early bird pricing (ends 20th September). Students $220 (ex GST), General $360 (ex GST). Registration includes Welcome Reception (drinks & canapes) and Workshop Dinner. The Welcome Reception will be held Thursday evening (November 28th). The Workshop dinner will be held at Jolley’s Boathouse (November 29th). This meeting will be held as a satellite of the Australasian Neuroscience Society (ANS) conference (Dec 2-5), so please consider scheduling your time for both events. If you have any questions, please do not hesitate to contact me Dr Steven Wiederman +61 403 079 575, steven.wiederman(a)adelaide.edu.au<mailto:steven.wiederman@adelaide.edu.au> regards, Steve --- Dr Steven Wiederman<mailto:steven.wiederman@adelaide.edu.au> +61 403 079 575 ARC Future Fellow, Visual Physiology & Neurobotics Laboratory Adelaide Medical School, The University of Adelaide

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Reminder: Special Entropy Issue "Information Theory in Computational Neuroscience"
by Dimitrije Markovic Sept. 10, 2019

Sept. 10, 2019

Dear Colleagues, You are cordially invited to submit a manuscript to Special Entropy Issue "Information Theory in Computational Neuroscience" https://www.mdpi.com/journal/entropy/special_issues/Computational_Neuroscie… Deadline for manuscript submissions: 31 January 2020 With best regards, Claudius Gros and Dimitrije Markovic Abstract ====== Brains empower living organisms with extraordinary information processing capabilities. Complex spatio-temporal dependencies present in their environments may be learned, long- and short-term memories of experiences and plans regarding the future. Importantly, information processing in the brain happens over multiple spatio-temporal scales, from single synapses and synaptic terminals to dendritic trees and neuronal bodies, all the way up to neuronal networks and large brain areas. Hence, it is not surprising that information theory has led to many exciting developments in computational neuroscience, providing tools essential for our modern understanding of the computational principles that govern the development, structure, physiology, and dynamics of the nervous system. In this Special Issue, we aim to bring together neuronal models and neuronal plasticity mechanisms that are grounded in information theory principles, modern inference, and learning algorithms. We welcome submissions that use information theory as the basis for defining generative principles of neuronal dynamics over multiple spatio-temporal scales, which informs our understanding of information processing in the brain. ============================= Dr. Dimitrije Markovic Post-Doc at Technische Universität Dresden, Department of Psychology, Dresden, Germany Lab website: https://tu-dresden.de/mn/psychologie/ifap/ni Phone: +49-351-463-43146 Personal website: http://dimarkov.github.io/ =============================

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PostDoc position University of Minnesota
by Alexander Opitz Sept. 9, 2019

Sept. 9, 2019

A postdoc position funded by the NIH Brain Initiative is available in the lab of Alexander Opitz in the Department of Biomedical Engineering at the University of Minnesota. The lab works in the field of noninvasive brain stimulation across multiple levels of investigation. The candidate will develop and extend existing computational models to bridge physical and physiological effects of transcranial magnetic stimulation (TMS). The candidate will further contribute to analyzing invasive electrophysiological data from NHPs stimulated with TMS. Access to computing resources from the Minnesota Supercomputing Institute are available. The Opitz lab is committed to the career advancement of its members. We offer a diverseand inclusive environment with numerous opportunities for members to develop their own projects and support for fellowships and career development awards. The funded project involves collaborators in New York and Germany and research exchanges will be part of the project. Experienced candidates can be hired at the research associate level. *Qualifications* Required Qualifications: ·Ph.D. in Engineering, Neuroscience, Physics, Applied Mathematics or similarly related field. ·Strong record of technical capabilities in research. ·Expertise in Python/Matlab or other programing languages Preferred Qualifications: ·Experience in computational neuroscience ·Background in computational modeling/analysis of neural data Informal inquiries can be made to aopitz(a)umn.edu. Further details can be found at http://opitzlab.umn.edu/join_us

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NEURON course at SFN 2019 meeting
by Carnevale, Nicholas Sept. 9, 2019

Sept. 9, 2019

Space is still available for the NEURON course at this year's meeting of the Society for Neuroscience, but you'll have to act quickly because the registration deadline is Friday, October 4--less than a month from today. This one-day course is for you, whether you're a PI trying to decide whether to add computational modeling to your research program, a grad student or postdoc just getting started in modeling, or an established NEURON user who wants to find out what the latest advances are. It starts with a practical introduction that reviews basic concepts and presents a workflow for building and working with models of cells and networks, and moves on to topics that include using Python with NEURON, modeling reactive diffusion with the RxD class, and running simulations on parallel hardware from multicore Macs and PCs to massively parallel supercomputers. For more information and the registration form, see https://neuron.yale.edu/neuron/static/courses/chi2019/chi2019.html

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Recruiting two postdocs (UCL, London, UK)
by Love, Bradley Sept. 7, 2019

Sept. 7, 2019

Hello, My lab (bradlove.org<http://bradlove.org>) is searching for two postdocs in computational cognitive neuroscience to work at UCL in London, UK. We are open and supportive of people coming from either the psych/neuro or the computer science side. One push is making deep learning more human-like using brain and behavioral data. Please apply here by 4-October, https://t.co/XcKISJVhp8?amp=1 ******************************** Bradley C. Love University College London b.love(a)ucl.ac.uk<mailto:b.love@ucl.ac.uk> http://bradlove.org<http://bradlove.org/> ********************************

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CFP: FLAIRS 2020, N Miami Beach, Neural Network and Data Mining Special Tracks
by David B Sept. 6, 2019

Sept. 6, 2019

CALL FOR PAPERS FLAIRS 2020, Florida Artificial Intelligence Research Symposium Special Tracks on Neural Networks and Data Mining North Miami Beach, FL https://www.flairs-33.info/ May 17 - 20, 2020 Paper submission deadline: November 18, 2019. Notifications: January 20, 2020. Camera ready version due: February 24, 2020. FLAIRS is a medium-sized interdisciplinary AI conference which especially encourages novel ideas. It features a strong international following, a double-blind review process, free tutorials, and a great venue. Neural Network Track: The special track will be devoted to Neural Networks with the aim of presenting new and important contributions in this area. The areas include, but are not limited to, the following: applications such as Pattern Recognition, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Telecommunications, Power Systems, Signal Processing; algorithms such as new developments in Back Propagation, RBF, SVM, Deep Learning, Ensemble Methods, Kernel Approaches; hybrid approaches such as Neural Networks/Genetic Algorithms, Neural Network/Expert Systems, Causal Nets trained with Backpropagation, and Neural Network/Fuzzy Logic; pre- or post-processing techniques such as feature extraction; or any other area of Neural Network research which is related to artificial intelligence. Papers dealing with tool suites are also encouraged. Data Mining Track This special track will be devoted to data mining with the aim of presenting new and important contributions in this area. Papers and contributions are encouraged for any work related to Data Mining. Topics of interest may include (but are in no way limited to): 1. Applications such as Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 2. Modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches. 3. Feature extraction and selection. 4. Post-processing techniques such as visualization, summarization, or trending. 5. Preprocessing and data reduction. 6. Knowledge engineering or warehousing. Papers dealing with Cloud-based unstructured data or Cloud-based tool suites are also encouraged. Note: We invite original papers (i.e. work not previously submitted, in submission, or to be submitted to another conference during the reviewing process). Submission Guidelines Interested authors should format their papers according to AAAI formatting guidelines. The papers should be original work (i.e., not submitted, in submission, or submitted to another conference while in review). Papers should not exceed 6 pages (or 4 pages for short paper, to be presented as a poster) and are due by November 18. FLAIRS uses a double blind reviewing process. Author names and affiliations should be X’d out on submitted papers. Papers must be submitted as PDF through the EasyChair conference system, which can be accessed through the main conference web site (https://www.flairs-33.info/) Note: do not use a fake name for your EasyChair login - your EasyChair account information is hidden from reviewers. Authors should indicate which special track they are submitting to. The proceedings of FLAIRS will be published by the AAAI. Authors of accepted papers will be required to sign a form transferring copyright of their contribution to AAAI. FLAIRS requires that there be at least one full author registration per paper.

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AICAS2020 - Call for Tutorial Proposals
by Elisa Donati Sept. 6, 2019

Sept. 6, 2019

AICAS 2020 - CALL FOR TUTORIAL PROPOSALS 2nd IEEE Conf. on Artificial Intelligence Circuits and Systems 23th-25th March, 2020, Genova, Italy www.aicas2020.eu <http://www.aicas2020.eu/> Deadline for proposals: November 10th, 2019 https://aicas2020.eu/submissions <https://aicas2020.eu/submissions> The objective of the AICAS 2020 Tutorial Program is to provide participants with an inspiring and informative selection of tutorials that reflect current topics in AI circuits and systems related research and development. Tutorials will cover a one to three-hour period with ten minutes at the end for questions. They will be held in the morning before the technical sessions. We encourage submissions of tutorial proposals on the topics including but not limited to: Circuits and systems for AI Deep learning/machine learning/AI algorithms Tools/Platforms for AI Architecture for AI computing Edge and cloud AI computing platforms Hardware accelerators Neuromorphic processors and computing Hardware/software co-design and design automation for AI systems Advanced neural network design Emerging applications: Deep learning for Internet-of-Things Emerging applications of AI: Medical AI Emerging applications of AI: Autonomous Vehicle Emerging applications of AI: Smart Factory and Environment Emerging applications of AI: Robotics Prospective organizers of tutorial program should submit proposals to the Tutorial Chair indicating: Title of the tutorial, Area of the tutorial (refer to the above topics), Presenter(s) and their CV, Target audience and prerequisite knowledge of audience, 300 words abstract (for inclusion on webpage and in registration materials), Full description (1-2 pages to be used for evaluation),Keywords, Detailed contact information of all presenters (and indication of the main contact person). Contact tutorial chair, email: tutorials(a)aicas2020.eu <mailto:tutorials@aicas2020.eu> PhD. Elisa Donati Institute of Neuroinformatics University and ETH Zurich Winterthurerstrasse 190, 8057 Zurich E-mail: elisa(a)ini.uzh.ch Phone: +41 0446353061

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Call for Papers: AICAS2020 IEEE International Conference on Artificial Intelligence Circuits and Systems
by Elisa Donati Sept. 6, 2019

Sept. 6, 2019

******************************************************************************************************************************************************************** Call for Papers: AICAS2020 IEEE International Conference on Artificial Intelligence Circuits and Systems Conference website: www.aicas2020.eu <http://www.aicas2020.eu/> Submission deadline: September 30, 23:59 (GMT -0700) Submit at: https://epapers.org/aicas2020/ESR/login.php <https://epapers.org/aicas2020/ESR/login.php> Contact: info(a)aicas2020.eu <mailto:info@aicas2020.eu> The theme of AICAS2020 is “Circuits and systems for efficient embedded AI”, revolving around the development of hardware and computational strategies towards an increase in system efficiency that supports efficient, embedded, smart applications (such as mobile, robotics, automotive). Potential topics include but are not limited to: Emerging devices and materials for AI Mixed-signal and in-memory hardware accelerators Digital hardware accelerators Edge AI computing platforms and systems Cloud AI computing platforms and systems Neuromorphic/bioinspired circuits, processors and systems and their applications Hardware/software co-design and design automation for AI systems Deep learning/machine learning/AI algorithms Smart sensors and actuators AICAS in IoT, HCI, healthcare, autonomous systems, homes/factories/cities/nature Tools, libraries, benchmarking for AI Other areas in AI circuits and systems Live demos (1 page papers) Special sessions (invited papers) We invite you to submit papers in the AICAS2020 format. Online submissions will be accepted via ePapers in PDF format (https://epapers.org/aicas2020/ESR/login.php <https://epapers.org/aicas2020/ESR/login.php>). Regular and Special Session Papers length is maximum 4 pages, plus up to 1 page for references (ONLY) or maximum 1 page for Live demos. Please refer to the detailed information for authors. Papers will comply with IEEE conference template and camera ready manuscripts will be checked for IEEExplore compliance. The review process is double-blind. Authors of selected best papers will be invited to submit extended versions of their work for publication in IEEE JETCAS special issue. On Behalf of the Conference Organizing Committee, Chiara Bartolozzi - Istituto Italiano di Tecnologia (Italy), Shih-Chii Liu - University of Zurich and ETH (Switzerland), Tobi Delbruck - University of Zurich and ETH (Switzerland), Marian Verhelst - KU Leuven (Belgium) and Maurizio Valle - University of Genova (Italy) PhD. Elisa Donati Institute of Neuroinformatics University and ETH Zurich Winterthurerstrasse 190, 8057 Zurich E-mail: elisa(a)ini.uzh.ch Phone: +41 0446353061

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CFP: 10th IEEE International Conference on Development and Learning (ICDL)
by nagai.yukie＠mail.u-tokyo.ac.jp Sept. 6, 2019

Sept. 6, 2019

CALL FOR PAPERS: 10th IEEE International Conference on Development and Learning (ICDL) 7th-10th September 2020, Valparaiso, Chile Web page: https://cdstc.gitlab.io/icdl-2020/ An IEEE Computational Society-sponsored conference ==== Important Dates ==== Submission deadline: 15th March 2020 Author notification: 15th May 2020 Camera ready due: 1st July 2020 Conference: 7th-10th September 2020 ==== Overview ==== The IEEE International Conference on Development and Learning (ICDL), previously referred to as ICDL-EpiRob, is the premier gathering of professionals dedicated to the advancement of cognitive and developmental learning. As such, ICDL is a unique conference gathering researchers from computer science, robotics, psychology and developmental studies. ICDL is a highly selective annual international conference that aims to showcase and share the very best interdisciplinary and multidisciplinary research on how humans and animals develop sensing, reasoning and actions. ICDL community focusses on the understanding of how biological agents take advantage of interaction with social and physical environments to develop their cognitive capabilities. Moreover, how this knowledge can be used to improve future computing and robotic systems. We invite submissions for the conference to explore, extend, and consolidate the interdisciplinary boundaries of this exciting research field. ==== Scope and Topics ==== The primary list of topics of interest includes, but not limited to: - principles and theories of development and learning; - development of skills in biological systems and robots; - nature vs nurture, developmental stages; - models on the contributions of interaction to learning; - verbal, non-verbal and multi-modal interaction; - models on active learning; - architectures for lifelong learning; - emergence of body and affordance perception; - analysis and modelling of human motion and state; - models for prediction, planning and problem solving; - models of human-human and human-robot interaction; - emergence of verbal and non-verbal communication; - epistemological foundations and philosophical issues; - robot prototyping of human and animal skills; - ethics and trust in computational intelligence and robotics; - social learning in humans, animals, and robots. ==== Submissions ==== Authors are invited to submit original and unpublished papers of six pages with the possibility of two-extra pages at a fee. Submissions are in the IEEE conference template. Submission will be selected for either oral or poster presentation based on the reviews. Accepted and presented regular six-page paper submissions will be included in the conference proceedings published by IEEE Xplore after the conference. For more information about submissions, travel grants, social events, etc. visit the conference webpage under https://cdstc.gitlab.io/icdl-2020/ ==== Organizing committee ==== General Chairs: Giulio Sandini, and Javier Ruiz-del-Solar Program and Finance Chairs: Nicolás Navarro-Guerrero, and María-José Escobar Bridge Chairs: Minoru Asada, Frédéric Alexandre, and Linda Smith Publicity Chairs: Carmelo Bastos, Maya Cakmak, Angelo Cangelosi, Yukie Nagai, and Emre Ugur Publication Chairs: Pablo Barros, and Haian Wu Tutorials and Workshops Chair: Miguel Solis Travel and Registration Awards Chair: Francisco Cruz Local chairs: Mauricio Araya Webpage Chairs: Cristóbal Nettle, and Patricio Castillo Graphics: Camila Angel Alfaro Best regards from the organizing committee, — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | http://developmental-robotics.jp CREST Cognitive Mirroring: http://cognitive-mirroring.org

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Open rank faculty position in Psychology at American University with a specialization in human neuroscience
by Laurie Bayet Sept. 5, 2019

Sept. 5, 2019

Dear colleagues, Please see the following link for an Open rank faculty position in Psychology at American University with a specialization in human neuroscience: http://apply.interfolio.com/67455. To ensure full consideration, application materials should be received by October 31, 2019. Please contact Catherine Stoodley, Search Committee Chair, at stoodley(a)american.edu with any questions or inquiries. All the best, Laurie Bayet -- Laurie Bayet, PhD Assistant Professor of Psychology, American University (202) 885-1719

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Fwd: Postdoctoral position in Computational Neuroscience of Social Decision-Making
by Kagan, Igor Sept. 5, 2019

Sept. 5, 2019

A postdoctoral position is immediately available in the Social Neuroscience Team, an innovative collaborative project between groups of Fred Wolf (Bernstein Centre for Computational Neuroscience and Campus Institute Dynamics of Biological Networks) and Alex Gail, Igor Kagan and Stefan Treue (Cognitive Neuroscience Laboratory, German Primate Center, http://www.dpz.eu/cnl) in Goettingen, Germany. The focus of the research is on theoretical foundations, computational modeling and analysis of behavioral and neurophysiological signals underlying social decision-making in humans and nonhuman primates (e.g. https://www.biorxiv.org/content/10.1101/314500v4) The scientist will collaborate closely with the experimentalists, who work on elucidating the neural basis supporting primate interactions in dynamic sensorimotor settings. Further scientific exhange within the Leibniz ScienceCampus Primate Cognition (https://www.primate-cognition.eu) will ensure a broad interdisciplinary framework for networking and cooperation. Candidates with a Ph.D. in Computational Neuroscience, Physics, Mathematics, Data Science or Engineering, an excellent research record, and a drive to work independently and collaboratively to solve conceptual and computational challenges, are encouraged to apply. A strong quantitative and theoretical skillset is a must, prior experience in cognitive sciences or neuroscience, and a background in relevant modeling and analysis of behavioral or neurophysiological data are a plus. Please send applications (letter of interest, CV and the names and contact information of two referees), or request for additional information, to compneuro-postdoc(a)dpz.eu -- Dr. Igor Kagan Head of Decision and Awareness Group, German Primate Center (DPZ) Kellnerweg 4, Goettingen 37077, Germany http://www.dpz.eu/dag

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Big models and big data workshop at SFN 2019
by Carnevale, Nicholas Sept. 5, 2019

Sept. 5, 2019

*NSG and HPAC – Large Scale Simulations and Data Processing* **** **A workshop on big models and big data in neuroscience, Saturday, Oct. 19, 2019 from 8:30 AM to 12:30 PM at a downtown Chicago location. *Summary* This workshop is intended for neuroscientists who need to use high performance computing (HPC) resources for computationally intensive tasks such as large modeling projects or analysis of neuroimaging data. It will examine resources offered by the Neuroscience Gateway Portal (NSG https://www.nsgportal.org/) and The Human Brain Project's High Performance Analytics and Computing Platform (HPAC https://hbp-hpc-platform.fz-juelich.de/) The workshop will combine hands-on instruction on how to use NSG, didactic presentations by NSG and HPAC developers, and discussions with experienced users of these resources. The registration deadline for this workshop is Friday, October 10, but you should sign up early because space is limited. See https://neuron.yale.edu/neuron/static/courses/nsg2019/nsg2019.html for more information and a link to the registration form. *Overview of NSG and HPAC* NSG eliminates most administrative and technical barriers, providing free CPU time to users, and easy access to widely used software that currently includes BluePyOpt, The Brain Modeling Toolkit (BMTK), Brian, CARLsim, DynaSim, EEGLAB, Freesurfer, Human Neocortical Neurosolver (HNN), Large Scale Neural Modeling Simulator (LSNM), MATLAB, MOOSE, NEST, NetPyNE, NEURON, Octave, PGENESIS, PyNN, Python, R, TensorFlow, and the Virtual Personalized Multimodal Connection Pipeline. NSG's web-based interface simplifies the tasks of uploading models or data, specifying job parameters, monitoring job status, and storing and retrieving output data. HPAC provides extensive HPC support for the HBP community. This includes developing and providing the hardware and software infrastructure required for large scale simulations, data management and analysis, visualization, and managing the complex workflows involved in performing these tasks.

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Postdoc on modeling the action potential of a swimming neuron
by Romain Brette Sept. 4, 2019

Sept. 4, 2019

A postdoc position is available in the group of Romain Brette in the Vision Institute, Paris, France, in collaboration with Alexis Prevost and Laetitia Pontani from Laboratoire Jean Perrin, to work on the development of a model of the action potential of Paramecium, a “swimming neuron”. More details here: http://romainbrette.fr/postdoc-offer-modeling-the-action-potential-of-a-swi… Paramecium is a large unicellular eukaryote organism which swims in fresh water using its cilia. When it hits an obstacle, mechanosensitive channels open, depolarize the membrane and trigger a calcium-based action potential. In turn, the action potential triggers a reversal of the swimming direction, followed by a change of direction. This is called the “avoiding reaction”, and it is the basis of most Paramecium behavior. The goal of the global project is to develop an integrative model of Paramecium, that includes: sensory transduction, excitability and motility. In other words, a model of the behaving Paramecium in an environment. The specific project for this postdoc is to develop a Hodgkin-Huxley type model of the action potential of Paramecium, together with a phenomenological model of electro-motor coupling, that is, the relation between membrane potential and cilia beating. Technically, the work will involve performing appropriate electrophysiological measurements and then developing and fitting models. The funding is for 12 months (possibly more depending on grant results). Although this may seem short, the project is already well advanced, as we have developed simple reliable ways to do electrophysiological recordings on Paramecium and already collected a number of recordings. Prior experience in electrophysiological recording is not a requirement as it can be learned. Be aware, however, that the work does involve a fair amount of experimental work (but on a model organism that is simple to handle). Conversely, we are also welcoming applications from electrophysiologists with little experience in modeling. To apply, please send a CV and emails of two references to romain.brette(a)inserm.fr <mailto:romain.brette@inserm.fr>. Do not hesitate to ask for more information. Applications will be considered until the position is filled.

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postdoctoral positions in the Rinberg lab at NYU Neuroscience Insititute
by Dmitry Rinberg Sept. 3, 2019

Sept. 3, 2019

The Rinberg lab at NYU Neuroscience Institute (www.rinberglab.com) is seeking to fill multiple postdoctoral positions at the interface of computational systems neuroscience and advanced neurotechnology. We study how olfactory information is represented and processed in neural activity patterns, and how the brain extracts information relevant for behavior. <>We are using wide-field and two-photon imaging, multiunit electrophysiology and behavioral experiments, in combination with theoretical approaches, to study how odors are represented at different stages of neural processing. To understand how spatiotemporal neural codes are read by the brain and evoke behavior, we are developing optogenetic pattern stimulation techniques, including 2P holography. Most of the projects are deeply rooted in theoretical approaches and statistical modeling. In addition, as an applied direction, we are developing bio-electronic nose, a universal, versatile, and sensitive chemical detector based on the mouse olfactory system. The lab has established strong collaborative links with multiple leading labs in theory, statistical methods, technology development, and genetics. <>This is an excellent opportunity for computationally and technologically inclined candidates to find their niche in-between developing cutting edge technologies and applying the technologies to fundamental scientific questions. An ideal candidate should have a background in neuroscience, physics/engineering and math. Knowledge and experience in optics, imaging, multi-neuron physiology and computational methods are a big plus. Interested applicants should send a cover letter, CV to be e-mailed to rinberg(a)nyu.edu

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OPEN FACULTY POSITIONS (Computational neuroscience), RIKEN Center for Brain Science
by Taro Toyoizumi Sept. 3, 2019

Sept. 3, 2019

The RIKEN Center for Brain Science (CBS) was launched in April 2018 following the strong 20-year foundation of its predecessor, the Brain Science Institute (BSI). CBS aims to meet society’s ever-growing expectations for brain research. We are seeking outstanding computational neuroscientists for Team Leader positions (equivalent to U.S. Assistant or Associate Professors). Exceptional applications from internationally established neuroscientists may be considered for indefinite-term Team Leader positions (equivalent to U.S. Full Professors). If candidates have the potential to be outstanding computational researchers, they will be hired as independent Unit Leaders (equivalent to U.S. Assistant Professors), provided that you have a doctoral degree by the date of employment, even if you are still enrolled in a postgraduate doctoral program. Researchers who wish to convert their expertise from other fields (e.g. physics, mathematics, engineering, information science) to computational brain science are also eligible to apply. We will comprehensively evaluate the applicant's scientific achievements and research proposals, etc., and will hire any candidates who match the aims of CBS (please see CBS web page：https://cbs.riken.jp/en/). Since CBS also promotes experimental research, research proposals are expected to aim for collaborative projects in the near future. This is our second round of faculty recruitment at CBS, which follows the successful recruitment of several outstanding candidates as Team Leaders from Japan and abroad in the first round in 2018. [For details, see our home page： https://cbs.riken.jp/en/careers/20190902_w19120_pi_c.html ] Calls for Team Leader positions in other major topics at CBS are currently open to the public (please see https://cbs.riken.jp/career-general/) At RIKEN CBS, research leaders (team and unit leaders) have full intellectual independence, generous internal funds including a highly competitive start-up package and access to ample communal facilities in a collaborative environment. Successful candidates for the Team Leader positions must have demonstrated the ability to develop an original, independent and internationally competitive research program. Applications should be submitted by the end of November 2019. Applicants should specify Team leader or Unit Leader positions, should submit the electronic files of a cover letter with a brief summary of their research program and plan, curriculum vitae, list of research achievements and publications, list of acquired research funding, current research and achievements to date, future research plans, reprints of five major publications maximum, and the names and contact details (e-mail address) of three referees, through the application form. If possible, one of the three referees should be the current supervisor, and the letters should be signed and addressed to Dr. Hiroshi Matsumoto, President of RIKEN. All files and recommendation letters should be written in English. RIKEN CBS is located just outside of the international metropolis of Tokyo. English is the primary language used in activities at CBS, including seminars and administration. Institutional support is available to help non-Japanese speaking scientists, whom we particularly encourage to apply. RIKEN Center for Brain Science is an Equal Opportunity Employer. Women are strongly encouraged to apply. For further inquiries please contact the RIKEN CBS Search Committee. Email: cbs-search(a)ml.riken.jp Search Committee, RIKEN Center for Brain Science 2-1 Hirosawa, Wako, Saitama 351-0198, Japan Fax: +81-48-462-4914, *Applications are not accepted from this e-mail address.

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PhD opportunities in Computational Neuroscience at Bristol University
by Conor Houghton Sept. 2, 2019

Sept. 2, 2019

The Department of Computer Science in Bristol University is hoping to recruit to a number of EPSRC-funded PhD studentships for a January 2020 start: the research areas considered include Computational Neuroscience and Machine Learning. We have a vibrant Computational Neuroscience group here with strong collaborative links to local groups working in experimental neuroscience, in machine learning and cognitive science. We have interesting project to offer in the areas of synaptic plasticity, neural data analysis, neural coding, reinforcement learning, neurolinguistics, cortical circuit and credit assignment. https://bristolcnu.github.io/research/ Bristol is a great place to live and work and so we urge you to apply or to recommend this opportunity to suitable student. Anyone interested should contact one of us to discuss potential project and their application; there are notes on the application process below; the application would need to be submitted by 1 October 2020. All the best Conor, Cian, Rui and Laurence ___________ Unfortunately these studentships are subject to a UK residency requirement: (https://epsrc.ukri.org/skills/students/help/eligibility/) either home students, or EC nationals who have lived in the UK for three years prior to starting the PhD; if the three years have been spent in higher education, then they have to have been resident in the EEA or Switzerland immediately before this. Students should contact one of us before applying. The selection itself goes through a two step process, students are first accepted as PhD students and are then considered for funding. Applicants should apply via http://www.bristol.ac.uk/study/postgraduate/apply/ and selecting "Computer Science PhD", ensuring they submit a short research proposal outlining the research question or area they intend to focus on and a CV by 1 October.

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Postdoc in neural modeling / optic flow at RPI
by Fajen, Brett Aug. 31, 2019

Aug. 31, 2019

Please post on comp-neuro list… POSTDOCTORAL RESEARCH ASSOCIATE OPTIC FLOW-BASED CONTROL IN HUMANS AND AERIAL ROBOTS Cognitive Science Department Rensselaer Polytechnic Institute A post-doctoral position is available in the Perception and Action (PandA) Lab at Rensselaer Polytechnic Institute to study optic flow-based control. This is an ONR-funded project aimed at developing computational and mathematical models of visual perception and control in humans that can be adapted for use on board small aerial robots. The successful candidate will be expected to develop computational models, conduct psychophysical experiments, assist with robotic implementation, and present research at conferences and in journal articles. This is a one-year position with an anticipated start date in Fall 2019. The position could be extended beyond one year depending on performance and availability of funding. General information about the PandA Lab can be found at http://panda.cogsci.rpi.edu. The lab is situated within the Cognitive Science Department at Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY 12180. Founded in 1824, Rensselaer Polytechnic Institute in Troy, NY is the nation’s oldest technological university, serving over 7,600 undergraduate and graduate students from 49 states and 63 countries. Guided by the Rensselaer Plan 2024, Rensselaer seeks to transform the delivery of pedagogical innovations, and to be a transformative agent in the 21st century and beyond. Minimum qualifications Candidates for the position must have a Ph.D. in Psychology, Cognitive Science, Neuroscience, Computer Science, or a closely related field. All degree requirements must be completed by the time the appointment starts. In addition, candidates must have research experience in visual perception, a strong quantitative background, and excellent programming skills. Application information Applicants should submit a cover letter including a brief statement of research interests and accomplishments, current CV, and contact information for three references using the following link: https://rpijobs.rpi.edu/postings/8264. Review of applications will begin immediately and will continue until the position is filled. Questions about the position should be directed to Brett Fajen at fajenb[at]rpi.edu. We welcome candidates who will bring diverse intellectual, geographical, gender and ethnic perspectives to Rensselaer’s work and campus communities. Rensselaer Polytechnic Institute is an Affirmative Action/Equal Opportunity, Race/Gender/Veterans/Disability Employer.

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Post-doc position opportunity at Italian Institute of Technology
by Gabriella Panuccio Aug. 30, 2019

Aug. 30, 2019

All, There is an open opportunity for a post-doc position in my lab at IIT. We are looking for an in vitro electrophysiologist with expertise in epilepsy models and brain slices for biohybrid experiments. The position is open within the context of the EU-funded FET Proactive project HERMES - Hybrid Enhanced Regenerative Medicine Systems (www.hermes-fet.eu<http://www.hermes-fet.eu/>). You may find the description and instructions to apply here: https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=en&job=1900000Q Deadline for application is September 15th. You may contact me directly for any informal inquiry. Please circulate this email to those you think might be interested. Thank you! Gabriella ________________________________ Gabriella Panuccio, MD, PhD Enhanced Regenerative Medicine Dept. Neuroscience and Brain Technologies Istituto Italiano di Tecnologia Via Morego, 30 16163 Genova - Italy email: gabriella.panuccio(a)iit.it<mailto:gabriella.panuccio@iit.it> office: +39 010 28 96 ext 493 mobile: +39 333 491 32 31 website url: www.hermes-fet.eu<about:blank> Twitter: @GabryPanu<https://twitter.com/GabryPanu> // @HERMES_FET<https://twitter.com/HERMES_FET>

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Assistant Professor position available in Cognitive Sciences at the University of California, Irvine
by Jeff Krichmar Aug. 29, 2019

Aug. 29, 2019

Dear Colleagues, The Department of Cognitive Sciences at the University of California, Irvine (UCI) invites applications for an assistant professor (tenure-track) position with an expected start date of July 1, 2020. We are seeking scientists who study learning, memory, decision making, and related topics with behavioral, developmental, computational, artificial intelligence, or neuroimaging methods. Of particular interest are cognitive scientists who combine an empirical research program with innovative quantitative analysis or computational modeling. The successful candidates will interact with a dynamic and growing community in cognitive, computational, and neural sciences within the department (http://www.cogsci.uci.edu/) and the broader campus. Interested candidates can find specific application requirements and the online application at: https://recruit.ap.uci.edu/JPF05668. To ensure full consideration, applications must be completed by December 1, 2019. The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. As a recipient of an NSF ADVANCE award for gender equity, UCI understands the needs of dual career couples, supports work-life balance through an array of family-friendly policies, and is dedicated to broadening participation in higher education. As a Minority Serving Institution, UCI seeks future faculty who will contribute to our enduring commitment to inclusive excellence and serve as role models. Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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Tenure Track Faculty Positions in Biomathematics
by Cheng Ly Aug. 29, 2019

Aug. 29, 2019

Assistant Professor of Mathematics Position: Two faculty positions (9-month) as Assistant Professors of Mathematics to join the vibrant biomathematics group in the Department of Mathematics and Applied Mathematics at Virginia Commonwealth University beginning August 16, 2020. The Department and University web pages may be found at http://www.math.vcu.edu and http://www.vcu.edu. The Ph.D. program web page may be found at http://www.sysm.vcu.edu. Responsibilities of Position: Maintain a vigorous research program and a record of excellent teaching at both the undergraduate and graduate levels. Qualifications: A Ph.D. in Mathematics, or related field, is required at the time of the appointment. We are seeking candidates with a clearly defined research agenda and expertise in biomathematics research with an emphasis in one or more of the following fields: stochastic, computational, or multi-scale modeling, complex networks and/or systems, uncertainty quantification, and parameter identification. Preference will also be given to candidates with postdoctoral experience, and a demonstrated potential to secure external funding. Applicants must have a record of successful teaching, as well as experience with working in and fostering a diverse faculty, staff, and student environment, or the commitment to do so. The Department: The mission of the Department of Mathematics and Applied Mathematics is to offer a strong undergraduate and graduate education, with an increasing focus on the development of cross-disciplinary efforts that will prepare our students for real-world applications and stimulating employment and career opportunities. Key current objectives of the department include the continued development of our Ph.D. program, which emphasizes applications of mathematics to the medical and biological sciences and research in both applied mathematics and theoretical discrete mathematics, the improvement of student outcomes in our lower level courses, the continued strengthening of our department's track in secondary education preparation and mathematics education outreach initiatives. We seek ambitious faculty members to help grow and strengthen the department by expanding teaching, research, and grant activity. How to Apply for the Position: To apply, candidates should submit electronically (https://www.vcujobs.com/postings/92989) the following: a cover letter that delineates how they meet the qualifications outlined above, a current curriculum vitae, contact information for each of the four references. In addition, candidates need to submit electronically ( https://www.mathjobs.org/ <https://www.mathjobs.org/jobs/jobs/14339>) the following: a cover letter, an AMS Standard Cover Sheet, a current curriculum vitae, and detailed statements about teaching and their current research activities. Applicants also should include four letters of recommendation. One of the letters of recommendation must address the applicant's effectiveness as a teacher. Letters should be submitted electronically through www.mathjobs.org <https://www.mathjobs.org/jobs/jobs/14339>. Applicants must be eligible to work in the U.S.A. The deadline for applications is October 25, 2019. "Virginia Commonwealth University is an equal opportunity. Affirmative Action University providing access to education and employment without regard to age, race, color, national origin, gender, religion, sexual orientation, veterans status, political affiliation or disability." Cheng Ly https://www.people.vcu.edu/~cly Associate Professor Department of Statistical Sciences and Operations Research Virginia Commonwealth University P.O. Box 843083 Richmond, Virginia 23284-3083

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LASCON 2020 - VIII Latin American School on Computational Neuroscience (Call for applications)
by Antonio Roque Aug. 28, 2019

Aug. 28, 2019

**** Apologies for cross-posting **** VIII Latin American School on Computational Neuroscience - LASCON 2020 January 6-31, 2020, University of Sao Paulo, Sao Paulo, Brazil www.sisne.org/lascon LASCON Video <https://www.youtube.com/watch?v=10FDmMw2IbM> APPLICATION DEADLINE: October 5, 2019 Dear Colleagues, Following the success of the previous editions of LASCON (Latin American School on Computational Neuroscience), I am pleased to announce the 8th LASCON, which will take place January 6-31, 2020 at the NeuroMat Center in the University of Sao Paulo, Sao Paulo, Brazil. LASCON aims at introducing young researchers and graduate and advanced undergraduate students to the use of computational and mathematical methods for modeling neurons and neural networks. The following topics will be covered: biophysically detailed single neuron models; reduced and simplified single neuron models; networks of biophysical and simplified neuron models; synaptic plasticity and learning; spike train analysis; statistical methods in neuroscience; models of extracellular fields; modeling of brain stimulation; predictive coding; dynamics of neuronal functional connectivity; and computational psychiatry. These subjects will be illustrated with the use of programs NEURON, neuroConstruct, XPP-AUTO, Matlab, NEST, Brian and the Virtual Brain. Students will have to work on small research projects (to be done in groups of two), which they will present orally at the end of the school. The following lecturers will be in charge of theoretical classes and tutorials: Aline Duarte, University of Sao Paulo, Sao Paulo, SP, Brazil Antonio Galves,University of Sao Paulo, Sao Paulo, SP, Brazil Arnd Roth, University College, London, UK Christophe Pouzat, Paris Descartes University, Paris, France Demian Battaglia, Aix-Marseille University, Marseille, France Eli Shlizerman, University of Washington, Seattle, WA, USA Emilio Kropf, Leloir Institute Foundation, Buenos Aires, Argentina Gaute Einevoll, Norwegian University of Life Sciences, As, Norway German Mato, Bariloche Atomic Center, San Carlos de Bariloche, Argentina Horacio Rotstein, New Jersey Institute of Technology, Newark, NJ, USA John Murray, Yale School of Medicine, New Haven, CT, USA Marcelo Reyes, Federal University of ABC, Sao Bernardo do Campo, SP, Brazil Mauricio Girardi-Schappo, University of Sao Paulo, Ribeirao Preto, SP, Brazil Mauro Copelli, Federal University of Pernambuco, Recife, PE, Brazil Renan Shimoura, University of Sao Paulo, Ribeirao Preto, SP, Brazil Risto Ilmoniemi, Aalto University, Espoo, Finland Rodrigo Cofre, University of Valparaiso, Valparaiso, Chile Sacha van Albada, Juelich Research Center, Juelich, Germany Salvador Durá-Bernal, State University of New York, New York, NY, USA Volker Steuber, University of Hertfordshire, Hatfield, UK William Lytton, State University of New York, New York, NY, USA The number of students is limited to 20 and applications should be made electronically via the application form in the school's web page ( www.sisne.org/lascon) Applicants are also requested to submit a detailed CV (in English) and to provide two letters of recommendation. The application deadline is October 5, 2019 (until midnight, US Pacific time). There is no registration fee for the school. Costs for accommodation will be covered by the school organization. Travel costs have to be covered by the students. Sao Paulo is the major transportation hub in South America, so it is possible to fly from basically anywhere in the world to its airports. In the selection procedure, priority will be given to Latin-American students, but students from other parts of the world are encouraged to apply as well. LASCON 2020 is an activity of the FAPESP Center for Neuromathematics (NeuroMat - http://neuromat.numec.prp.usp.br/) I am looking forward to see you in Sao Paulo. Best regards, Antonio Roque LASCON Director -- 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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3 year Research Fellow in Bio-Inspired Artificial Intelligence and Robotics at the University of Sussex
by Thomas Nowotny Aug. 28, 2019

Aug. 28, 2019

Dear all, Research Fellow in Bio-Inspired Artificial Intelligence and Robotics at the University of Sussex Are you a talented and ambitious computer scientist, computational neuroscientist or machine learner? Are you looking for an opportunity to use cutting edge technology to gain new understanding of how small-brained insects learn so rapidly and robustly, and in turn develop novel active AI algorithms that are inspired by these insights? We have an opportunity for a Research Fellow to join the Brains on Board<http://brainsonboard.co.uk/> team at the Department of Informatics at the University of Sussex to join a collaboration with the University of Sheffield and world-leading neuroscientists in Australia through the EPSRC-funded ActiveAI project: active learning and selective attention for rapid, robust and efficient AI. You will develop a new class of ActiveAI controllers for problems in which insects excel but deep learning methods struggle. These problems have one or more of the following characteristics: (i) learning must occur rapidly, (ii) learning samples are few or costly, (iii) computational resources are limited, and (iv) the problem changes over time. Insects deal with such complex tasks robustly despite limited computational power because learning is an active process emerging from the interaction of evolved brains, bodies and behaviours. Through a virtuous cycle of modelling and experiments, you will develop insect-inspired models, in which behavioural strategies and specialised sensors actively structure sensory input while selective attention drives learning to the most salient information. This will be achieved through extended visits to Australia, in which you will interact with biologists and shape novel insect experiments that in turn will inspire computational and robotic models and novel algorithms. In this way, we will both advance neuroscience and enable ActiveAI solutions which will be efficient in final network configuration, robust to real-world conditions and learn rapidly. This project includes significant scope for you to creatively shape and drive the project to your interests and to organise the timing and length of your visits to Australia. You will work under the supervision of Professors Andrew Philippides, Thomas Nowotny and Paul Graham at Sussex as well as the wider Brains on Board team and, together with a partner research fellow at Sheffield University, you will lead a new collaboration with world-leading Australian research partners through extended secondments. Closing date: midnight UK BST, 23 September 2019. For full details see: https://www.sussex.ac.uk/about/jobs/rf-artifical-intellience-robotics-2091 -- Prof Thomas Nowotny Director of Research and Knowledge Exchange School of Engineering and Informatics University of Sussex Falmer, Brighton BN1 9QJ, UK Phone: +441273678593 FAX: +441273877873

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CFP NeurIPS2019 AI↔Neuro Workshop: Real Neurons & Hidden Units
by Jessica Thompson Aug. 28, 2019

Aug. 28, 2019

Call for Papers: NeurIPS2019 Workshop Real Neurons & Hidden Units: Future directions at the intersection of neuroscience and artificial intelligence Workshop website: https://sites.google.com/mila.quebec/neuroaiworkshop <https://sites.google.com/mila.quebec/neuroaiworkshop/home> Submission deadline: September 6, 2019 Contact: neuroaiworkshop(a)gmail.com We invite contributions at the intersection of neuroscience and AI. In particular, we encourage work that identifies novel questions about the brain, which are informed by the recent successes of AI, and that establish key brain mechanisms that hold promise for further advancement of AI. Topical areas include but are not limited to: - study of recurrent dynamics, - inductive biases to guide learning, - global versus local learning rules, - interpretability of network activity, - connectivity structure. A strict requirement for admission is that the topic must be at the intersection of AI and Neuroscience, in that the work must leverage findings from one field to advance the other or address important questions common to both. Submissions must be within four pages. Accepted contributions will be invited to present posters. A select number will be also invited to present short talks. Invited speakers: Ila Fiete (Massachusetts Institute of Technology) Surya Ganguli (Stanford University) Tim Lillicrap (DeepMind/University College London) Doina Precup (McGill University/DeepMind) Blake Richards (McGill University) Cristina Savin (New York University) David Sussillo (Google Brain/Stanford University) Please see the workshop website <https://sites.google.com/mila.quebec/neuroaiworkshop/home> for further details. We look forward to receiving your submission! On behalf of the organizers, Guillaume Lajoie (UdeM/Mila) Eli Shlizerman (UW) Maximilian Puelma Touzel (UdeM/Mila) Konrad Kording (UPenn) Jessica Thompson (UdeM/Mila) and Advisors, Adrienne Fairhall (UW) Yoshua Bengio (UdeM/Mila)

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Academic Fellowship positions Computational Neuroscience, Nottingham
by Mark van Rossum Aug. 28, 2019

Aug. 28, 2019

Academic Fellowship positions Computational Neuroscience, Nottingham (extended deadline) The University of Nottingham is a research intensive university ranked in the top 10 in the UK and in the top 30 of Europe. It has a strong tradition in Cognition, Perception, Mathematical Biology, and Imaging. To support further development across these areas, and stimulate new research opportunities, the University has recently made a major investment in Computational Neuroscience. As part of this investment we are inviting applications for two independent fellowships. The positions are for 3 years, after which the fellows are expected to be competitive candidates for permanent positions at the University. The positions are ideal for researchers with some postdoctoral experience and a strong vision who are planning to develop their own research group in a supportive, interdisciplinary environment with outstanding research facilities. We are interested in candidates working across a broad spectrum of research topics areas in Computational Neuroscience, including functional neuroimaging, neural networks, and models of cognition. Research methodologies could include numerical simulation, machine learning, theoretical neuroscience, and innovative data analysis. The Fellows will be based in the School of Psychology and/or Mathematical Sciences. These positions were advertised earlier. After a number of requests for a later deadline, the application process is now briefly opened again until Sept 3rd. For the online application form see http://jobs.nottingham.ac.uk/SCI215819 Please include a research proposal in your application. For informal inquiries contact Mark van Rossum, mark.vanrossum(a)nottingham.ac.uk, +44-115-7486851 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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[Job][Postdoc]: 4yrs senior researcher position and Phd scholarship on Modelling beliefs dynamics of social media users with machine learning methodologies at University of Essex funded by VolkswagenStiftung (Volkswagen Foundation)
by Dimitri Ognibene Aug. 27, 2019

Aug. 27, 2019

** Apologies for cross-postings ** Dear Colleagues, I would be very grateful if you could forward this job advert to anybody who could be interested. The highlight is on machine learning for user interaction modelling. Here are some information for the positions. ** Application deadline 1st of September** To apply https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?… <https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?…> https://www.jobs.ac.uk/job/BTV423/senior-research-officer-in-social-media-m… <https://www.jobs.ac.uk/job/BTV423/senior-research-officer-in-social-media-m…> A PhD scholarship on the same topics is also out with deadline on the 30th of August Check <http://sites.google.com/site/dimitriognibenehomepage/jobs>http://sites.google.com/site/dimitriognibenehomepage/ <http://sites.google.com/site/dimitriognibenehomepage/>jobs Kind regards, Dimitri *Postdoc and Phd Positions in: Modelling beliefs dynamics of social media users with machine learning methodologies at University of Essex funded by VolkswagenStiftung (Volkswagen Foundation)* Project: Courage Applications are invited for a 4 years position of Senior Postdoctoral Research Officer and a PhD shcolarship on ht project “COURAGE: A Social Media Companion Safeguarding and Educating Students”. This project is an international collaboration funded by VolkswagenStiftung (Volkswagen Foundation) as part of the Artificial Intelligence and the Society of the Future funding initiative. The project partners include the Universitat Pompeu Fabra (Spain), the Istituto per le Tecnologie Didattiche of the National Council of Research ITD-CNR (Italy), Hochschule Ruhr West (Germany) and the Rhine-Ruhr Institute for System Innovation (Germany). The project aims to develop a Virtual Social Media Companion that educates and supports teenage school students facing the threats of social media such as discrimination and biases as well as hate speech, bullying, fake news and other toxic content. The project involves a substantial experimentation aspect in collaboration with multiple schools around Europe. It will thus provide a unique chance to perform interventions to test the validity of social interaction theories and governance methods. The Essex team will drive two strands of this work, the machine-learning-based user beliefs dynamics modelling aspect and the process of analysing visual and textual content. More specifically, we aim at developing Bayesian computational models of beliefs dynamics of social media users to support governance and educational strategies. These models will also be applied to evaluate socially relevant variables, such as trust and inclusion. We will build on and implement state-of-the-art CV, NLP & AI methods to provide measurements of sentiment, bias, hatefulness, veracity, polarization, and sensationalism of social media content. In addition, we will drive forward the state of the art in detecting hate speech and biased content. The companion will actively counteract this kind of content, balancing it with opposite perspectives and proposing specifically themed challenges adopting ideas used in games. The successful candidate will be based in the School of Computer Science and Electronic Engineering at Colchester Campus of The University of Essex. The post is available for four years with a start date from September 2019. To apply: https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?… <https://www.google.com/url?q=https%3A%2F%2Fwww.jobs.ac.uk%2Fjob%2FBSW396%2F…> For more information: https://sites.google.com/site/dimitriognibenehomepage/jobs?authuser=0 <https://sites.google.com/site/dimitriognibenehomepage/jobs?authuser=0> Applicants are encouraged to contact Dr. Dimitri Ognibene <mailto:dimitri.ognibene@essex.ac.uk> (dimitri.ognibene(a)essex.ac.uk <mailto:dimitri.ognibene@essex.ac.uk>) for informal enquiries and further information on research objectives. -- Dimitri Ognibene, PhD Lecturer in Computer Science and Artificial Intelligence Department of Computer Science and Electronic Engineering, University of Essex, UK http://sites.google.com/site/dimitriognibenehomepage/ <http://sites.google.com/site/dimitriognibenehomepage/> Skype: dimitri.ognibene

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post-doctoral position in computational neuroscience at Duke University
by Nicolas Brunel Aug. 27, 2019

Aug. 27, 2019

A post-doctoral position is available in the group of Nicolas Brunel in the Department of Neurobiology at Duke University (Durham, NC, USA), to work on theoretical models of learning in the cerebellum. The position is funded by a Brain Initiative NIH grant to a collaboration between Steve Lisberger (Duke), Court Hull (Duke), Javier Medina (Baylor), and Nicolas Brunel, whose goal is to infer learning rules used by the cerebellum using electrophysiological and imaging data of multiple cell types recorded in different animals and different motor tasks. Applicants should have a strong background in computational neuroscience, physics and/or applied mathematics. Prior experience with computational neuroscience is a plus, but it is not required. Applications will be considered until the position is filled. The ideal starting date is before the end of 2019. To apply, send a letter with a CV to nicolas.brunel(a)duke.edu, and ask three people send letters of recommendation to the same address. For more information about the lab, see https://www.neuro.duke.edu/research/faculty-labs/brunel-lab For more information about the position, and a link to apply, see https://careers.duke.edu/job/Durham-POSTDOCTORAL-ASSOCIATE-NEUROBIOLOGY-NC-…

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Doreen Thomas Postdoctoral Fellowships for Women
by Uwe Aickelin Aug. 26, 2019

Aug. 26, 2019

The Melbourne School of Engineering has introduced the Doreen Thomas Postdoctoral Fellowships to attract, or to retain, outstanding female doctoral graduates and provide a career pathway to a global Teaching and Research academic career at the University of Melbourne. We are currently looking for accomplished, enthusiastic, and interested early-career female doctoral graduates for multiple fellowships within the three schools of MSE: * Computing and Information Systems * Chemical and Biomedical Engineering * Electrical, Mechanical and Infrastructure Engineering More details can be found here: LinkedIn<https://www.linkedin.com/jobs/view/1441685438> Seek<https://www.seek.com.au/job/39782535?searchrequesttoken=9e11c449-42dd-4296-…> University of Melbourne Careers<http://jobs.unimelb.edu.au/caw/en/job/900626/doreen-thomas-postdoctoral-fel…> Applications close Sunday 13 October 2019. About Doreen Thomas “Professor Emeritus Doreen Thomas is a leading academic whose work has spanned the fields of mathematics and electrical and mechanical engineering. Her career at the University of Melbourne has lasted over 40 years and practical applications of her research have had significant commercial impact. Doreen is a powerful advocate for women in engineering and mathematics. She chairs the Science, Technology, Engineering and Mathematics (STEM) Education Forum at the Australian Academy of Technological Sciences and Engineering. While at the University of Melbourne’s School of Engineering, she helped create nine research fellowships to launch and accelerate the careers of female academics. In 2006, she was appointed the University of Melbourne’s first female professor in engineering. She was the first woman at the university to become head of each of the departments she led, and the first woman in Victoria to become head of two different university departments. Doreen’s long and distinguished career has been inspirational for other women in mathematics and science. She has made significant contributions to knowledge with real-world impact, promoted the next generation of women in STEM disciplines, and taught mathematics to generations of engineering students.” – Vic.gov.au Professor Uwe Aickelin | Head of School of Computing and Information Systems Melbourne School of Engineering Level 8, Doug McDonell Building, 168 Grattan Street The University of Melbourne, Victoria 3010 Australia T: +61 3 8344 3635 E: uwe.aickelin(a)unimelb.edu.au<mailto:uwe.aickelin@unimelb.edu.au> http://aickelin.com/ | http://linkedin.com/in/aickelin

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Open Post-doctoral Position in Human Perceptual Neuroscience at NYU
by Persinger, Christine Aug. 23, 2019

Aug. 23, 2019

Post-doctoral Fellowship in Human Perceptual Neuroscience at New York University The Perception and Brain Dynamics Laboratory (PI: Biyu J. He, Ph.D.) at New York University is currently recruiting for a post-doctoral fellow to conduct research to illuminate how prior knowledge shapes perception in the human brain. The planned research project involves a combination of cutting-edge human brain imaging technologies, including ultra-high-field (7 Tesla) fMRI and magnetoencephalography (MEG) in healthy subjects, electrocorticography (ECoG) in neurosurgical patients, along with psychophysics and neuropsychology. We are looking for a candidate with a passion for perceptual and cognitive neuroscience, independent critical thinking, strong analytical and quantitative skills, and good interpersonal skills. Experience with human brain imaging (such as fMRI, MEG, or ECoG) and excellent programming skills are highly desirable. Our laboratory is located on the medical campus of New York University in Manhattan, NY, and is affiliated with the Neuroscience Institute, Department of Neurology, and Department of Radiology. The position is expected to start in fall-winter of 2019, but early spring of 2020 is also possible. We provide competitive salary and benefits that adjust for cost of living in New York City. To apply, please send a CV, a cover letter, a statement of scientific and career goals, and names and contacts of three referees to Prof. Biyu Jade He (email: biyu.jade.he(a)gmail.com<mailto:biyu.jade.he@gmail.com>) with the subject line “post-doctoral application 2019”. We strongly encourage interested candidates to apply as soon as possible, but no later than Oct 15.

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[jobs] Neural Ego-Noise Reduction for Interactive Robots
by Stefan Wermter Aug. 22, 2019

Aug. 22, 2019

The Faculty of Mathematics, Informatics and Natural Sciences / Department of Informatics invites applications for a RESEARCH ASSOCIATE Ego-Noise Reduction for Interactive Robots - SALARY LEVEL 13 TV-L - The position in accordance with Section 28 subsection 1 of the Hamburg higher education act (Hamburgisches Hochschulgesetz, HmbHG) commences on the earliest possible date. This is a fixed term contract in accordance with Section 2 of the academic fixed-term labor contract act (Wissenschaftszeitvertragsgesetz, WissZeitVG). The initial fixed term is three years. The position calls for 75% of standard work hours per week. (Full-time positions currently comprise 39 hours per week.) Responsibilities: Research associates will be expected primarily to teach and conduct research. The research associate will also have the opportunity to pursue further academic qualifications, in particular a doctoral dissertation. At least one-third of set working hours will be made available for the research associate’s own academic work. Specific Duties: The candidate will work in the Signal Processing and the Knowledge Technology groups and will do research on modern methods for single and multichannel speech enhancement for human-robot interfaces. The particular task is to take the specific ego-noise of an interactive robot into account, such as the sound of the motors and the cooling systems of specific robotic platforms. Teaching duties are expected to be 3 hours/week at the BSc Informatics level. Requirements: A university degree in a relevant field. Examples are Computer Science, Artificial Intelligence, Robotics or Electrical Engineering. We require the candidate to have excellent knowledge in signal processing and neural network learning as well as good programming skills in Python and neural network frameworks. Experience in speech processing is helpful. Fluent English, spoken and written, and good communications skills are mandatory. Knowledge of German is desired; we expect the willingness to learn German for non-native German speakers. The University aims to increase the number of women in research and teaching and explicitly encourages women to apply. Equally qualified female applicants will receive preference in accordance with the Hamburg act on gender equality (Hamburgisches Gleichstellungsgesetz, HmbGleiG). Qualified disabled candidates or applicants with equivalent status receive preference in the application process. For further information, please contact Stefan Wermter (stefan.wermter(a)informatik.uni-hamburg.de) or Timo Gerkmann (timo.gerkmann(a)uni-hamburg.de) or consult our website athttp://www.informatik.uni-hamburg.de/WTM/ orhttp://uhh.de/inf-sp. Applications should include a cover letter, a tabular curriculum vitae, and copies of degree certificate(s). Please send applications by 25.08.2019 to:sp-office@informatik.uni-hamburg.de in a single PDF document. Please start the subject of your Email with [Application Kooperationspromotion]. Please do not submit original documents as we are not able to return them. *********************************************** Professor Dr. Stefan Wermter Director of Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Email: wermter AT informatik.uni-hamburg.de http://www.informatik.uni-hamburg.de/WTM/ ***********************************************

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PhD position - Inverse Reinforcement Learning
by Constantin Rothkopf Aug. 21, 2019

Aug. 21, 2019

The Centre for Cognitive Science at Technische Universitaet Darmstadt, Germany invites applications for a Ph.D. Position in Inverse Reinforcement Learning initially limited to a period of three years. Research area The Ph.D. student is expected to work in the domain of inverse reinforcement learning with the particular focus of elucidating human decision making and collective human decision making in the wild, i.e. under real world 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, Institute 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. 487. The position is initially advertised till September 9th 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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Biomax offers PhD position within EU Horizon 2020 Marie Skłodowska-Curie Project TranSYS
by Markus Butz-Ostendorf Aug. 21, 2019

Aug. 21, 2019

*Post-graduate position/fellow-ship at Biomax Informatics AG, Munich, Germany* TranSYS, is an European Training Network for post-graduate (PhD) studies which will recruit 15 Early Stage Researchers (ESRs) in the new area of Systems Health to develop tools and approaches to exploit large and complex datasets and advance Precision (Personalised) Medicine in several disease areas. One position (ESR 11) is available at Biomax in close collaboration with the Max-Planck Institute for Psychiatry in Munich for the identification of biological subtypes related to treatment resistant depression. Eligibility : TranSYS wishes to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background. Recruitment targets ESR backgrounds in 1) Lifesciences; 2) Engineering sciences and (3) Maths and Computational Modelling. We expect that applicants hold a university degree that qualifies them for doctoral studies at their recruiting organization. Applications at: https://lnkd.in/e-xuQkB Don't hesitate to contact me with further questions. Kind regards, Markus -- Dr. rer. nat. Markus Butz-Ostendorf Innovation Manager Brain Science Senior Product Manager Biomax Informatics AG Robert-Koch-Str. 2, 82152 Planegg, Germany Registergericht: Amtsgericht München, HRB 134442 Vorstand: Dr. Klaus Heumann Vorsitzender des Aufsichtsrates: Prof. Dr. Hans-Werner Mewes Tel: +49 89 895574-862 Fax: +49 89 895574-825 Email: markus.butz-ostendorf(a)biomax.com Website: http://www.biomax.com PGP: https://ssl.biomax.de/pgp/

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Faculty positions at University of Miami
by Odelia Schwartz Aug. 21, 2019

Aug. 21, 2019

The Department of Computer Science at University of Miami has openings for faculty positions in the broad areas of Artificial Intelligence and Data Science, including Computational Neuroscience and Computational Cognitive Science (see ad below). Odelia --------- Link for ad and application: https://umiami.wd1.myworkdayjobs.com/en-US/UMFaculty/job/Coral-Gables-FL/Fa… The University of Miami (UM) is considered among the top tier institutions of higher education in the U.S. for its academic excellence, superior medical care, and cutting-edge research. At the U, we are committed to attracting a talented workforce to support our common purpose of transforming lives through teaching, research, and service. Through our values of Diversity, Integrity, Responsibility, Excellence, Compassion, Creativity and Teamwork (DIRECCT) we strive to create an environment where everyone contributes in making UM a great place to work. We are one of the largest private employers in Miami-Dade County; home to more than 13,400 faculty and staff from all over the world. The Department of Computer Science at the University of Miami invites applications for various level Professor positions. Candidates must possess a PhD in Computer Science or a closely related discipline. These positions require teaching and research expertise in Artificial Intelligence/Data Science, including areas such as Data Extraction, Data Visualization, Machine Learning, Cognitive Intelligence, and Intelligent Actuators. Faculty are expected to teach at both the undergraduate and graduate levels, and to develop and maintain an internationally recognized research program. The department encourages innovative interdisciplinary work with other units in the university. Applicants should submit five PDF documents: 1. A cover letter, including the names and contact information for at least three references. 2. Curriculum vitae. 3. Research plan. 4. Teaching philosophy, with results of all teaching evaluations from the last two years. 5. Up to three representative papers (concatenated into a single PDF). Submissions must be made online at https://umiami.wd1.myworkdayjobs.com/UMFaculty. Review of applications will begin on 1st September 2019, and will continue until the positions are filled. Enquiries may be directed to search(a)cs.miami.edu. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law.

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Postdoc positions available at the Massachusetts General Hospital, Harvard Medical School
by Wey, Hsiao-Ying Aug. 16, 2019

Aug. 16, 2019

Research Fellow in Simultaneous PET/MR Neuroimaging Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Harvard Medical School Position We are seeking TWO postdoctoral fellows to join our team to pursue research in simultaneous PET/MR imaging in neuroscience applications. The area of research will be developing and applying novel PET/MRI methods to investigate (1) in vivo neuroreceptor dynamics and function and (2) the impacts of neurovascular function on PET radiotracer kinetics. Our research programs are highly translational spanning from animal models, first-in-human studies, to clinical applications. The appointment as a Massachusetts General Hospital / Harvard Medical School research fellow will be for 2 years with possibility for extension based on performance and the availability of funding. The positions are available immediately. The successful candidate will be a highly motivated researcher with a desire to begin an independent career related to or involving neuroimaging. The position requires a Ph.D. degree in Medical Physics, Biomedical Engineering, Computer Science, Neuroscience or a related field. However, we will consider candidates of any scientific background. This position requires experience in the acquisition and analysis of functional MRI and/or PET data. Extremely strong candidates with neuroscience backgrounds and minimal imaging experience are still encouraged to apply. Strong written and oral English communication skills are required. Additional Skills/Abilities/Competencies The job requires a candidate who is mature, responsible and flexible with excellent organizational and people skills. S/He must be able to work with in a fast-paced environment and should be able to problem-solve/troubleshoot, juggle and prioritize multiple tasks and seek assistance when appropriate. Application Interested applicants should send a cover letter describing research interests and experience, an updated CV, and names and contact information of three references to: Hsiao-Ying (Monica) Wey, Ph.D. (E-mail: hsiaoying.wey(a)mgh.harvard.edu) Please contain “Research Fellow Application: Your Name” in the e-mail subject line. The Massachusetts General Hospital and Harvard Medical School are equal opportunity and affirmative action employers. Best, Hsiao-Ying (Monica) ------ Hsiao-Ying (Monica) Wey, Ph.D. Assistant Professor of Radiology, Harvard Medical School A. A. Martinos Center for Biomedical Imaging Institute for Innovation in Imaging (i3) Massachusetts General Hospital 149 Thirteenth Street, Room 10.110 Charlestown, MA 02129 Phone: (617) 724-1384 Email: hsiaoying.wey(a)mgh.harvard.edu The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Partners Compliance HelpLine at http://www.partners.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.

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Postdoc at Bristol
by Cian O'Donnell Aug. 15, 2019

Aug. 15, 2019

A postdoctoral position is available in the group of Cian O'Donnell at University of Bristol, UK (https://seis.bristol.ac.uk/~co15268) You would work on understanding learning and memory using computational/mathematical modelling of synaptic plasticity, bringing in ideas from the fields of systems biology and machine learning/statistics. Local collaborators on the project will be Nick Whiteley (Mathematics; https://sites.google.com/view/nickwhiteley/) and Tom Gorochowski (Life Sciences; https://biocomputelab.github.io) You would also be joining our lively Bristol Computational Neuroscience Unit: https://bristolcnu.github.io The position is funded for up to three years by a grant from the Leverhulme Trust titled "Generalisable neural learning using noisy synapses". Ideal starting date would be Nov/Dec 2019. Application deadline is 5th Sept 2019, please apply online here: https://bit.ly/2L0LSEr Please contact me directly for informal enquiries: cian.odonnell(a)bristol.ac.uk

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Postdoctoral Position in Neuroimaging at Columbia University
by Ramphal, Bruce (NYSPI) Aug. 14, 2019

Aug. 14, 2019

T32 Postdoctoral Fellowship Available at Columbia University We are currently seeking applicants with EEG or MRI experience for a postdoctoral position in our Interdisciplinary Training in Life Course Environmental Epidemiology T32 program administered by the Department of Epidemiology. Continued funding will be available contingent on candidate making acceptable progress. Candidate should have an interest in using neuroimaging to study the effects of environmental exposures on brain structure, function, and neurodevelopment (https://www.ebblab.com) The candidate will work with investigators in the departments of psychiatry - division of child and adolescent psychiatry, environmental health sciences and epidemiology, and the Columbia Center for Children's Environmental Health (CCCEH, https://ccceh.org) The position is intended to foster a research career fusing interests in brain development and adverse environmental exposures. Possible areas of study include but are not limited to: effects of early life stress (ELS) on the neural correlates of language and bilingualism, effects of exposure to environmental tobacco smoke or nicotine on infant brain development and attention function, or associations between environmental exposures, mother-infant interactions, and child neurodevelopmental outcomes. The position is open now for one year of funding through 6/2020, with the possibility for continued funding with adequate progress. Please contact Dr. Amy Margolis for more information, and send CV and brief letter of interest to amy.margolis(a)nyspi.columbia.edu.

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Project Manager opening @ the Max Planck Institute (Frankfurt, Germany)
by Lucia Melloni Aug. 14, 2019

Aug. 14, 2019

Dear all, Please help us spread the word and to reach out to potential candidates! We have an opening for a Project Manager position in my group at the Max Planck Institute for Empirical Aesthetics. The prospective candidate will be in charge of managing a very exciting large-scale international collaboration involving 11 institutions across Europe, the US and China running an adversarial collaboration project aimed at understanding the neural foundations of consciousness. This is an ideal opportunity for someone willing to take challenges, with a keen interest in organisational and managerial aspects of science and who wants to gain insight into large scale projects including handling of subcontracts. Prior experience in an academic research institution is a big plus.This is a full-time position for 3 years with a possibility for extension. More information on the job requirements and the position can be found here: https://www.aesthetics.mpg.de/institut/jobs/project-manager-research-group-… <https://www.aesthetics.mpg.de/institut/jobs/project-manager-research-group-…> For enquiries concerning this job opportunity please contact Dr. Lucia Melloni: lucia.melloni(a)ae.mpg.de <mailto:lucia.melloni@ae.mpg.de>. Please submit your application - preferably online in a single pdf - including a CV and a cover letter describing your background, experience and motivation as well as the names of two references, who have previously agreed to be contacted, no later than September 6, 2019 to: job(a)ae.mpg.de <mailto:job@ae.mpg.de> Looking forward to the applications! Best wishes, Lucia Melloni

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Call for Papers: NeurIPS2019 Workshop on Biological and Artificial Reinforcement Learning
by Sara Zannone Aug. 13, 2019

Aug. 13, 2019

Call for Papers NeurIPS2019 Workshop Biological and Artificial Reinforcement Learning Workshop website: https://sites.google.com/view/biologicalandartificialrl Submission deadline: September 7, 11:59 PM Pacific Time, 2019 Contact: BiologicalArtificialRL(a)gmail.com We invite you to submit papers (up to 5 pages, excluding references and appendix) in the NeurIPS 2019 format. The focus of the work should relate to biological and/or artificial reinforcement learning. Potential topics include but are not limited to: - Benchmark tasks that can compare/contrast capabilities of artificial vs biological agents - Hierarchical RL/ skill learning - Inductive biases and priors - Representations for RL - Model-based/ Model-free learning - Lifelong learning - Intrinsic motivation/ learning in absence of extrinsic rewards - Role of memory in learning In line with the guidelines defined by the NeurIPS organising committee, we can only accept original work that is not published in the main NeurIPS conference. However, we welcome published work from other non-machine learning focused venues, particularly work that has previously appeared in Neuroscience or Cognitive Science venues such as Cosyne, RLDM, CogSci and CCN. Submission link: https://cmt3.research.microsoft.com/NeurIPSWSBARL2019/ For any enquiries please reach out to us at BiologicalArtificalRL(a)gmail.com . On behalf of the organizers, Raymond Chua, Feryal Behbahani, Sara Zannone, Rui Ponte Costa, Claudia Clopath, Blake Richards, Doina Precup

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Luminous Workshop on Consciousness - University of Oxford - Call for Abstracts
by Aureli Soria Frisch Aug. 8, 2019

Aug. 8, 2019

————————————————— Luminous Workshop on Consciousness ————————————————— Dear Group members, If you are interested in research about the mind, and particularly on consciousness and how to measure and alter it, please read further. In the framework of the Luminous Project (http://www.luminous-project.eu/ <http://www.luminous-project.eu/>), a workshop will take place in November at the University of Oxford, around the following axes: consciousness, its measurement and modification, computational modelling of consciousness, and the related ethical issues and dilemmas arising from these matters. Book 21st November in your agenda now. To read more, find here the main page of the event with additional details: http://www.luminous-project.eu/index.php/workshop-studying-measuring-and-al… <http://www.luminous-project.eu/index.php/workshop-studying-measuring-and-al…> A Call for Abstracts has been issued requesting for contributions, see the specific information at: http://www.luminous-project.eu/index.php/call-for-abstracts-workshop-studyi… <http://www.luminous-project.eu/index.php/call-for-abstracts-workshop-studyi…> Note also that the day before the workshop itself, an open public lecture on these same subjects will take place in the evening (registration details for this lecture are to be provided as they become available). Hoping to see you in Oxford, we send you in the meantime our kindest greetings, Organising Committee: Katie Warnaby & Jostein Holmgren, University of Oxford; Aureli Soria-Frisch & Eleni Kroupi, Starlab; Julia Moser & Hubert Preissl, University of Tubingen ________________________________________ Aureli Soria-Frisch (Dr.-Ing.) Director of Neuroscience Starlab Consulting Division Barcelona Offices: Av. Tibidabo, 47 bis - 08035 Barcelona - Spain tel. +34 93 254 03 70, +34 93 254 03 66, Ext -02 skype aureli.soria-frisch twitter @aurelisofr linkedin es.linkedin.com/pub/aurelisoriafrisch <http://es.linkedin.com/pub/aureli-soria-frisch/6/b93/294/>________________________________________ Starlab, Living Science http://starlab.es <http://starlab.es/> Click here <http://www.starlab.es/email_confidentiality_and_data_protection_policy> to read our e-mail confidentiality and data protection policy

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call for papers: NeurIPS 2019 Workshop on ‘Context and Compositionality in biological and artificial neural systems’
by Alexander Huth Aug. 7, 2019

Aug. 7, 2019

(Apologies for cross-post) NeurIPS 2019 - Workshop on ‘Context and Compositionality in biological and artificial neural systems’ Vancouver Convention Center, Vancouver CANADA Fri Dec 13th or Sat Dec 14th https://context-composition.github.io <https://context-composition.github.io/> Workshop abstract: The ability to integrate semantic information across narratives is fundamental to language understanding in both biological and artificial cognitive systems. There have been enormous strides in NLP and Machine Learning to develop architectures and techniques that effectively capture these effects. We have moved away from traditional bag-of-words approaches that ignore temporal ordering to RNNs, Temporal CNNs and Transformers that incorporate contextual information at varying timescales. While these architectures have lead to SoTA performance on many difficult language understanding tasks, it is unclear what representations these networks learn and how exactly they incorporate context. Interpreting these networks, systematically analyzing the advantages and disadvantages of different elements, such as gating or attention, and reflecting on the capacity of the networks across various timescales are open and important questions. On the biological side, recent work in neuroscience suggests that areas in the brain are organized into a temporal hierarchy in which different areas are not only sensitive to specific semantic information but also to the composition of information at different timescales. Computational neuroscience has moved in the direction of leveraging deep learning to gain insights about the brain. By answering questions on the underlying mechanisms and representational interpretability of these artificial networks, we can also expand our understanding of temporal hierarchies, memory and capacity effects in the brain. In this workshop we aim to bring together researchers from machine learning, NLP, and neuroscience to explore and discuss how computational models should effectively capture the multi-timescale, context-dependent effects that seem essential for processes such as language understanding. We believe that this will not only lead to a deeper understanding of biological language systems but also better artificial systems that can leverage these insights and understand language better. Call For Papers Paper submission deadline: Mon September 9th, 2019 22:00 PM UTC Decision Notification: Sun September 29th, 2019 22:00 PM UTC Submit at: https://cmt3.research.microsoft.com/CNTXTCOMP2019/ <https://cmt3.research.microsoft.com/CNTXTCOMP2019/> The site will start accepting submissions on August 7th. We invite paper submissions on the following topics, or any related or relevant work: • Contextual sequence processing in the human brain • Compositional representations in the human brain • Systematic generalization in deep learning • Compositionality in human intelligence • Compositionality in natural language • Understanding composition and temporal processing in neural network models • New approaches to compositionality and temporal processing in language • Hierarchical representations of temporal information • Datasets for contextual sequence processing • Applications of compositional neural networks to real-world problems Formatting Instructions: All submissions must be in PDF format. Submissions are limited to four content pages, including all figures and tables; additional pages containing only references are allowed. You must format your submission using the NeurIPS 2019 LaTeX style file. Submissions that violate the NeurIPS style (e.g., by decreasing margins or font sizes) or page limits may be rejected without further review. All submissions should be anonymous. Accepted papers will be presented during a poster session, with spotlight oral presentations for exceptional submissions. The accepted papers will be made publicly available as non-archival reports, allowing future submissions to archival conferences or journals. The review process is double-blind. We also welcome published papers that are within the scope of the workshop (without re-formatting, if the paper is already 4 pages or shorter). Already-published papers do not need to be anonymous. They are eligible for poster sessions and will only have a very light review process. Please redirect questions and all future correspondence to shaileejain(a)utexas.edu <mailto:shaileejain@utexas.edu>. Workshop Organizing Committee Javier Turek, Alexander Huth, Shailee Jain, Christopher Honey, Tal Linzen, Leila Wehbe, Emma Strubell, Kyunghyun Cho and Alan Yuille -- ALEXANDER G. HUTH, PhD | Assistant Professor The University of Texas at Austin Departments of Computer Science & Neuroscience

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Open Source Brain workshop 2019: Call for presentations/demos of open datasets and tools
by Gleeson, Padraig Aug. 7, 2019

Aug. 7, 2019

[Apologies if you receive multiple copies of this due to cross-posting] The 2019 Open Source Brain workshop will be held in Alghero, Sardinia on 9-11th September 2019. There are a number of presentation slots still available for attendees to present open experimental data sets/databases/tools/simulators/libraries relevant to the goals of the meeting. Full details: http://www.opensourcebrain.org/docs/Help/Meetings#OSB_2019 Open Source Brain (http://www.opensourcebrain.org) is a platform for sharing and collaboratively developing models in computational neuroscience. Models of cells and circuits in standardised formats can be visualised, analysed and simulated through a standard web browser. A key driver for the development of this technology is to improve accessibility, scientific scrutiny, reproducibility and reuse of models of brain function. The platform is described in a recent paper in Neuron: https://www.cell.com/neuron/fulltext/S0896-6273(19)30444-1 The 2019 OSB Workshop will highlight the latest features of OSB and engage current and future users of the platform through invited talks, posters, hands on demonstrations, and user presentations. Since we are substantially expanding the functionality of Open Source Brain to enable sharing of standardized experimental data used to build and test the models of neurons and circuits, this year’s meeting will have two key themes: 1) Accessible sharing of cellular neuroscience data Through support for the Neurodata Without Borders (NWB) format, OSB will facilitate sharing of multiple types of experimental data used to constrain computational models, including electrophysiological recordings, Ca2+ fluorescence imaging, 2D, 3D and 4D imaging and behavioural data. Challenges, requirements and solutions to data standardization will be discussed. 2) Modelling cortical structures across scales Cortical networks are modelled at many scales from abstract representations of interacting populations (neural masses) to networks of biophysically and morphologically detailed cell models. NeuroML is being expanded to cover a greater range of these models, which will allow them to be shared and simulated on OSB, facilitating comparison of models and ideas between researchers. This ongoing work is taking place as part of the SIG on Standardised Representations of Network Structures<https://www.incf.org/activities/standards-and-best-practices/incf-special-i…>. Registration The registration fee for the meeting for 3 days will be £130. This will help cover organisation and speaker costs, meeting room hire, lunch, tea and coffee for 3 days and one workshop dinner. Please register here<https://onlinestore.ucl.ac.uk/conferences-and-events/faculty-of-life-scienc…>. Registration closes on 1st September 2019. Confirmed speakers Yazan Billeh (Allen Institute, USA) Matteo Cantarelli (MetaCell Ltd) Alex Cayco Gajic (UCL, UK & École Normale Supérieure, France) Sharon Crook (Arizona State University, USA) Jeffrey S. Diamond (NINDS, USA) Ian Duguid (University of Edinburgh, UK) Matt Earnshaw (University College London, UK) Jan Fousek (Aix Marseille Université, France) Padraig Gleeson (University College London, UK) Boris Marin (Universidade Federal do ABC, Brazil) Diego Restrepo (University of Colorado, USA) Oliver Reubel (Lawrence Berkeley National Lab, USA) Simon Schultz (Imperial College, UK) Angus Silver (University College London, UK) Sacha van Albada (Jülich Research Centre, Germany) For more details please see: http://www.opensourcebrain.org/docs/Help/Meetings#OSB_2019 The OSB 2019 organising committee Padraig Gleeson Matt Earnshaw Angus Silver

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Registration open for #ABC2019 & #MARR2019 | CAMBRIDGE | 11-13 SEPT 2019
by Máté Lengyel Aug. 6, 2019

Aug. 6, 2019

<http://www.neuroscience.cam.ac.uk/events/ABC2019/> #ABC2019 & #MARR2019 | CAMBRIDGE | 11-13 SEPT 2019 <http://www.neuroscience.cam.ac.uk/events/ABC2019/> Cambridge Neuroscience invites you to #ABC2019 & #MARR2019 Updated programmes now online! THE 7TH CAMBRIDGE NEUROSCIENCE SYMPOSIUM ‘ARTIFICIAL AND BIOLOGICAL COGNITION’ IS AN INTERNATIONAL MEETING, WHICH WILL TAKE PLACE ON SEPTEMBER 12-13TH 2019 AT THE WEST ROAD CONCERT HALL AT THE UNIVERSITY OF CAMBRIDGE. Abstract submission extended until August 16th 2019! #ABC2019 <http://www.neuroscience.cam.ac.uk/events/ABC2019/> comprises seven sessions including ‘Reinforcement Learning’, ‘Navigation’, ‘Robotics’, ‘Communication’, ‘Vision’ ‘Mental Health’ and ‘Neuroethics of AI’. The programme features many distinguished national and international speakers. This is generally a very popular meeting, which attracts an international audience of up to 500 delegates. The Alan Hodgkin and Andrew Huxley plenary lectures are a major feature within the programme. We are delighted to welcome Demis Hassabis and Catherine Dulac to Cambridge. In addition to all of the refreshment breaks there are additional fun opportunities to network at a drinks reception, followed by a Gala dinner, at Trinity College in the evening on September 12th 2019; and a drinks reception following the close of the symposium on September 13th. #Marr2019 <http://www.neuroscience.cam.ac.uk/events/ABC2019/pages/about-marr.html>: In addition, we are hosting a special satellite meeting to celebrate David Marr, one of the founding fathers of computational neuroscience, on the 50th anniversary of his thesis. Come join us at St John’s College on Wednesday 11th September 2019 for ‘David Marr, 50 years on’. We will be raising a glass to David Marr on the stunning rooftop terrace of Newnham College following the meeting. <http://www.neuroscience.cam.ac.uk/events/ABC2019/> <http://www.neuroscience.cam.ac.uk/events/ABC2019/pages/abc-programme.html> <http://www.neuroscience.cam.ac.uk/events/ABC2019/pages/marr-programme.html> <http://www.neuroscience.cam.ac.uk/events/ABC2019/pages/registration.html> Contact: coordinator(a)neuroscience.cam.ac.uk <mailto:coordinator@neuroscience.cam.ac.uk> Follow us on Twitter: https://twitter.com/CamNeuro <https://twitter.com/CamNeuro> Cambridge Neuroscience: https://www.neuroscience.cam.ac.uk/ <mailto:coordinator@neuroscience.cam.ac.uk> -- Dr Dervila Glynn Cambridge Neuroscience IRC Coordinator Room 402, Department of Pharmacology, University of Cambridge, Tennis Court Road, Cambridge, CB2 1PD, United Kingdom Email: coordinator(a)neuroscience.cam.ac.uk <mailto:coordinator@neuroscience.cam.ac.uk> Phone: 00 44 (0)1223 334063 Web: http://www.neuroscience.cam.ac.uk/ <http://www.neuroscience.cam.ac.uk/> Join the conversation on @CamNeuro <https://twitter.com/CamNeuro>

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Postdoc and PhD student position using EEG & neural networks to investigate language (Potsdam, Germany)
by Milena Rabovsky Aug. 5, 2019

Aug. 5, 2019

Dear colleagues, I am looking for a Postdoc and a PhD student to join my newly established Cognitive Neurosciences Lab at the University of Potsdam (Germany) as described in more detail below, and would be very grateful if you forward this announcement to potentially interested candidates. Many thanks and best wishes, Milena Rabovsky --------------------------------------- Cognitive Neurosciences Lab at the University of Potsdam Postdoctoral and PhD student position The newly established Cognitive Neurosciences Lab at the University of Potsdam (PI Milena Rabovsky) is looking for a Postdoc to focus on neural network modeling of brain potentials during sentence comprehension and a PhD student to investigate prediction and adaptation during language comprehension using EEG. The positions are funded by an Emmy Noether grant from the German Research Foundation focused on investigating the processing of language and meaning in the brain using EEG and deep neural network models (see e.g., Rabovsky, Hansen, & McClelland, 2018, Nature Human Behaviour). Preferred starting date for both positions is November 1, 2019 (but can be discussed). Postdoc position The salary and benefits are determined by the collective bargaining agreement for public employees in Germany (TV-L 13 Ost, 100%). This is a temporary position initially limited to a term of 24 months (with possible extension). Project and responsibilities The goal of this project is to train a neural network model of sentence comprehension that has been successfully used to simulate language related brain potentials (Rabovsky, Hansen, & McClelland, 2018, Nature Human Behaviour) on a large-scale semantically labeled training corpus. Prospectively, the trained model will allow for (in collaborations with others in the lab) the simulation of language related brain potentials using stimulus materials from empirical experiments, and the comparison of representations in the model with representations in the brain via representational similarity analysis. Requirements - very good Master and PhD in relevant field (Cognitive Sciences, Computer Science, Computational Linguistics, Machine Learning, Data Science, Computational Neuroscience, etc.) - excellent computational skills (e.g., MATLAB, Python,…) - deep learning/ deep neural network modeling skills - capacity to work independently - excellent writing, communication, and presentation skills (in English) - strong interest in several aspects of the lab’s research focus, i.e., neural network models, cognitive neurosciences, language, meaning - high motivation and commitment In addition, the ideal candidate has - experience with deep neural network language models - excellent track record in a relevant field PhD student position The salary and benefits are determined by the collective bargaining agreement for public employees in Germany (TV-L 13 Ost, 65%; please note that 65% of full staff member positions are the current norm for PhD student positions in Germany). This is a temporary position initially limited to a term of 36 months (with possible extension). Project and responsibilities The goal of this project is to investigate the relation between prediction errors and adaptation/ learning during language comprehension, as reflected in event-related brain potentials (ERPs). Specific tasks include designing and programming the experiments, collecting and analyzing the data (behavioral and EEG), interpretation of the results as well as presentation of the results at international conferences and publication of the results in international peer-reviewed journals. Requirements - very good Master in relevant field (Cognitive Sciences, Cognitive Neurosciences, Psychology, etc.) - experience with and interest in neuroscientific methods (preferably EEG) - solid statistical skills - good programming skills (e.e., MATLAB, Python, R,…) - excellent writing, communication, and presentation skills (in English) - strong interest in several aspects of the lab’s research focus, i.e., cognitive neurosciences, prediction, adaptation, language, meaning, event-related brain potentials - high motivation and commitment In addition, the ideal candidate has - excellent skills in advanced statistical analyses - experience in research on language, prediction and/ or implicit memory The University strives to maintain gender balance among its staff. Severely disabled applicants shall receive preference in case of equal qualifications. We expressly invite applications from people with migration backgrounds. Please send your application (including letter of motivation, CV, at least 1 [PhD position] or 2 [Postdoc position] names of potential referees, copies of academic certificates) as a single pdf file to bewerbung(a)uni-potsdam.de until August 31 for full consideration (late applications may be considered until the position is filled). Please direct informal inquiries to Milena Rabovsky at milena.rabovsky(a)gmail.com. The official ads can be downloaded here (there are some aspects that relate to German laws and may be confusing for potential international applicants - please get in touch if you have questions!) Postdoc position: https://www.uni-potsdam.de/fileadmin01/projects/verwaltung/docs/Dezernat3/A… PhD student position: https://www.uni-potsdam.de/fileadmin01/projects/verwaltung/docs/Dezernat3/A…

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Job Opening: Research Assistant Professor in Data Science and Engineering at Hong Kong Baptist University
by COMP HKBU Aug. 5, 2019

Aug. 5, 2019

The Department of Computer Science at Hong Kong Baptist University, presently offering BSc, MSc, MPhil, and PhD programmes, invites outstanding applicants for the following position. *Research Assistant Professor in Data Science and Engineering (PR0059/19-20)* The Research Assistant Professor position is created and funded as part of the strategic research development initiatives in the Department. The appointee will be provided with a conducive research environment, and will work within an established group of faculty in the Department. He/she is also expected to perform group-based high-impact research and to undertake some teaching duties. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and demonstrate abilities to conduct high-quality research in one of the following areas: (i) data analytics and information management; (ii) data security and privacy. Initial appointment will be made on a fixed-term contract of two to three years. Re-appointment thereafter will be subject to mutual agreement. For enquiry, please contact Prof Jianliang Xu (email: xujl(a)comp.hkbu.edu.hk. More information about the Department can be found on its website ( http://www.comp.hkbu.edu.hk) *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) with samples of publications, preferably three best ones out of their most recent publications/works. Applicants should also request two referees to send in confidential letters of reference, with *PR* number (stated above) quoted on the letters, to the Personnel Office (Email: recruit(a)hkbu.edu.hk) direct. Those who are not invited for interview four months after the closing date may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of 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 post advertised, and the appointment will be made according to the terms and conditions then applicable at the time of offer. *Closing date: 30 August 2019 (or until the position is filled)* URL: https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=532

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Lab manager position available in in the Max Planck Institute in Tuebingen Germany
by Zhaoping Li Aug. 3, 2019

Aug. 3, 2019

*The Department for Sensory and Sensorimotor Systems of the **Max-Planck-Institute for Biological **Cybernetics*studies the processing of sensory information (visual, auditory, tactile, olfactoy) in the brain and the use of this information for directing body movements and making cognitive decisions. Theresearch is highly interdisciplinary, and usestheoretical and experimental approaches, including human psychophysics, and animal behavior, imaging, electrophysiology, and computational modelling. Department website:_https://www.kyb.tuebingen.mpg.de/sensory-and-sensorimotor-systems_ We are currently looking for a *Lab Manager (m/f/d) 100%* to join us at the next possible opportunity. *Responsibilities* You will support, coordinate, and/or manage * scientific equipment and purchases * IT/programming * website, wiki, and social media content * general administrative processes at the department * project planning and managing deadlines * internal and external workshops and other events *Requirements* * Completed university degree (Master’s level) in natural sciences (Mathematics, Computer Science, Physics, Biology or a similar field), ideally a PhD * Strong command of both English and German**(at least C1 level) * Good skills in IT/programming * The willingness and capability to learn about the research topics * Very strong management and organizational skills * Team player * Independent and responsible * A high level of resilience and professionalism *We offer:* We offer highly interesting, challenging and varied tasks; you will work closely and collaboratively with scientists, students, programmers, administrative staff, and IT support to help achieve the scientific goals of the department. A dedicated team awaits you in an international environment with regular opportunities for further education and training. The salary is paid in accordance with the collective agreement for the public sector (TVoeD Bund), according to your qualifications. This position is initially limited to two years, with the possibility of a permanent contract. The Max-Planck-Society seeks to employ more handicapped people and strongly encourages them to apply. Furthermore, we actively support the compatibility of work and family life. The Max-Planck-Society also seeks to increase the number of women in leadership positions and strongly encourages qualified women to apply. The Max-Planck-Society strives for gender equality and diversity. *Your application* Your application must contain a cover letter, a curriculum vitae, and relevant certificates. Please note that incomplete applications will not be considered. The position is available immediately and will be open until filled. Preference will be given to applications received by *August 31, 2019. *We look forward to receiving your online application by E-Mail in PDF format (in one file) to:_lizhaopinglab@tuebingen.mpg.de <mailto:lizhaopinglab@tuebingen.mpg.de>_, where also informal inquiries can be addressed.

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Postdoc position in modeling in vivo dendritic activity of cortical pyramidal neurons
by Erik De Schutter Aug. 3, 2019

Aug. 3, 2019

The Computational Neuroscience Unit (https://groups.oist.jp/cnu) of Prof. Erik De Schutter at the Okinawa Institute of Science and Technology (OIST) is starting a project on modeling behaviorally relevant dendritic activity in layer 5 cortical pyramidal neurons. This will be a collaboration with Prof. Wen-Biao Gan at the New York University School of Medicine (https://med.nyu.edu/faculty/wenbiao-gan) who will provide in vivo data to constrain the models. The goal is to build quantitative models that capture how synaptic input drives dendritic calcium spiking in the apical tuft, how this activity is transmitted down the apical dendrite and changes somatic output as demonstrated, for example, in Cichon and Gan, Nature 2015. Candidates should have a PhD in (computational) neuroscience with good knowledge of dendritic physiology and experience in using the NEURON software to simulate compartmental models of neurons. Previous experience in modeling pyramidal neurons is a plus but not required. OIST is a young, fast-growing research-oriented interdisciplinary graduate university, located on the subtropical paradise island of Okinawa (https://www.visitokinawa.jp/) Despite being a newcomer in the academic world, OIST was recently ranked as #10 in the world on the Normalized Nature Index (https://www.natureindex.com/annual-tables/2019/institution/academic-normali…) It offers attractive financial and working conditions in an English language graduate university. Starting date any time before begin 2020. Send curriculum vitae, summary of research interests and experience, and the names of three referees to Prof. Erik De Schutter at erik(a)oist.jp

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Fwd: [Job][Postdoc]: 4yrs senior researcher position and Phd scholarship on Modelling beliefs dynamics of social media users with machine learning methodologies at University of Essex funded by VolkswagenStiftung (Volkswagen Foundation)
by Dimitri Ognibene Aug. 1, 2019

Aug. 1, 2019

** Apologies for cross-postings ** Dear Colleagues, I would be very grateful if you could forward this job advert to anybody who could be interested. The highlight is on machine learning for user interaction modelling. Here are some information for the positions. ** Application deadline 14th of August** To apply https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?… <https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?…> https://www.jobs.ac.uk/job/BTV423/senior-research-officer-in-social-media-m… <https://www.jobs.ac.uk/job/BTV423/senior-research-officer-in-social-media-m…> A PhD scholarship on the same topics is also out with deadline on the 30th of August Check <http://sites.google.com/site/dimitriognibenehomepage/jobs>http://sites.google.com/site/dimitriognibenehomepage/ <http://sites.google.com/site/dimitriognibenehomepage/>jobs Kind regards, Dimitri *Postdoc and Phd Positions in: Modelling beliefs dynamics of social media users with machine learning methodologies at University of Essex funded by VolkswagenStiftung (Volkswagen Foundation)* Project: Courage Applications are invited for a 4 years position of Senior Postdoctoral Research Officer and a PhD shcolarship on ht project “COURAGE: A Social Media Companion Safeguarding and Educating Students”. This project is an international collaboration funded by VolkswagenStiftung (Volkswagen Foundation) as part of the Artificial Intelligence and the Society of the Future funding initiative. The project partners include the Universitat Pompeu Fabra (Spain), the Istituto per le Tecnologie Didattiche of the National Council of Research ITD-CNR (Italy), Hochschule Ruhr West (Germany) and the Rhine-Ruhr Institute for System Innovation (Germany). The project aims to develop a Virtual Social Media Companion that educates and supports teenage school students facing the threats of social media such as discrimination and biases as well as hate speech, bullying, fake news and other toxic content. The project involves a substantial experimentation aspect in collaboration with multiple schools around Europe. It will thus provide a unique chance to perform interventions to test the validity of social interaction theories and governance methods. The Essex team will drive two strands of this work, the machine-learning-based user beliefs dynamics modelling aspect and the process of analysing visual and textual content. More specifically, we aim at developing Bayesian computational models of beliefs dynamics of social media users to support governance and educational strategies. These models will also be applied to evaluate socially relevant variables, such as trust and inclusion. We will build on and implement state-of-the-art CV, NLP & AI methods to provide measurements of sentiment, bias, hatefulness, veracity, polarization, and sensationalism of social media content. In addition, we will drive forward the state of the art in detecting hate speech and biased content. The companion will actively counteract this kind of content, balancing it with opposite perspectives and proposing specifically themed challenges adopting ideas used in games. The successful candidate will be based in the School of Computer Science and Electronic Engineering at Colchester Campus of The University of Essex. The post is available for four years with a start date from September 2019. To apply: https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?… <https://www.google.com/url?q=https%3A%2F%2Fwww.jobs.ac.uk%2Fjob%2FBSW396%2F…> For more information: https://sites.google.com/site/dimitriognibenehomepage/jobs?authuser=0 <https://sites.google.com/site/dimitriognibenehomepage/jobs?authuser=0> Applicants are encouraged to contact Dr. Dimitri Ognibene <mailto:dimitri.ognibene@essex.ac.uk> (dimitri.ognibene(a)essex.ac.uk <mailto:dimitri.ognibene@essex.ac.uk>) for informal enquiries and further information on research objectives. -- Dimitri Ognibene, PhD Lecturer in Computer Science and Artificial Intelligence Department of Computer Science and Electronic Engineering, University of Essex, UK http://sites.google.com/site/dimitriognibenehomepage/ <http://sites.google.com/site/dimitriognibenehomepage/> Skype: dimitri.ognibene

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Postdoctoral fellowships at the Neuromathematics Center in Sao Paulo State, Brazil
by Antonio Roque Aug. 1, 2019

Aug. 1, 2019

*Positions for Postdoctoral Researchers* The Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat), hosted by the University of São Paulo, Brazil, and funded by the São Paulo Research Foundation (FAPESP), is offering two post-doctoral 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 post-doc fellows shall be strictly related to ongoing research lines developed by the NeuroMat team. The project may be developed at USP (main campus, São Paulo), USP campus Ribeirão Preto or University of Campinas (UNICAMP). We seek candidates capable of developing 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. 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. - Pointers to other research-related output, such as software, web pages. 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. *FAPESP requirements* a. The candidate should have concluded a doctorate less than seven years before the beginning of the PD fellowship. b. The fellowship demands full-time dedication to the research project (except under conditions outlined in resolution PR No 13/2009, 15 July 2009). c. The fellowship holder may not hold any formal or informal employment nor receive, during the term of the fellowship, a fellowship from another entity, salary or remuneration deriving from the exercise of activities of whatever nature (except under conditions outlined in the decree PR No 13/2009, 15 July 2009). For more information about the scholarships see http://www.fapesp.br/bolsas/pd. *Timetable* Candidates are encouraged to apply at their earliest convenience until August 27, 2019. Appointments are expected to start by October 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 R$ 7,373.10 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. Check the rules of FAPESP post-doctoral fellowships at: http://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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Recent research article
by Osva Velarde July 31, 2019

July 31, 2019

Dear Colleagues, We are happy to share with you our work about the mechanisms of phase-amplitude cross frequency coupling (PAC) in models of biologically plausible neural networks. We think this work opens a new and valuable connection between theory of dynamical systems and the field of signal processing in neural networks and other biophysical systems. In particular, one of the proposed tools, the Time Locked Index (TLI), is suitable to efficiently quantify the harmonic content of experimental recordings. Hope you find this useful. Feedback is most welcome. "Bifurcation structure determines different phase-amplitude coupling patterns in the activity of biologically plausible neural networks" O M Velarde, E Urdapilleta, G Mato, and D Dellavale. NeuroImage https://doi.org/10.1016/j.neuroimage.2019.116031 The paper is freely available at: https://www.researchgate.net/publication/334582958_Bifurcation_structure_de… Source code for TLI computation:https://github.com/damian-dellavale/Time-Locked-Index With kind regards, Osvaldo Matías Velarde Departamento de Física Médica Instituto Balseiro - Centro Atómico Bariloche R8402AGP Bariloche, Río Negro, Argentinaosva_velarde@yahoo.com.arosva.m.velarde@gmail.com https://fisica.cab.cnea.gov.ar/fisicamedica/

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Opening for Group Leader of Bio Data Science group
by Romuald Janik July 31, 2019

July 31, 2019

Dear Colleagues, Starting from Fall 2019, the Jagiellonian University in Krakow, Poland will host a 4-year interdisciplinary project Bio-Inspired Artificial Neural Networks The broad aim of the project is to put together Neuroscience and Machine Learning research and gather insight from the brain analyzed over a wide range of scales in order to develop novel machine learning architectures and algorithms. The project comprises Machine Learning, Cognitive and Physics groups and in addition three new groups will be formed: a low level neuroscience group, a Bio Data Science group and a more technical computer science group. We are looking in particular for candidates for a Group Leader of the Bio Data Science group. The main aims of the Bio Data Science group located at the Faculty of Physics is to perform extensive analyses of massive fMRI data (both in-house and publicly available), possibly also of other modalities like diffusive MRI or MEG/EEG. These analyses will be targeted at i) developing machine learning based diagnostic algorithms, ii) extracting insights from data on connectivity/dynamical properties of neuronal networks, iii) comparisons with artificial neural networks. In addition, the group is expected to closely cooperate with the Physics group of the project on testing physics motivated hypothesis and implementing machine learning architectures. Of course, the group is very much welcome to pursue also other goals related to the project "Bio-Inspired Artificial Neural Networks". The Leader of the Bio Data Science group should therefore have expertise in machine learning as well as experience/knowledge on dealing with the specific peculiarities of the fMRI datasets like preprocessing requirements/artifacts as well as general knowledge about other modalities. The position is for 3 years. Deadline for application is 23rd August. The call with details is on the website http://bionn.matinf.uj.edu.pl/. If you have any questions feel free to e-mail me (romuald.janik(a)gmail.com) Best regards, Romuald Janik

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Fully funded PhD position in neuroscience about cone photoreceptor signal transduction at Ecole Normale Superieure in Paris
by Juergen Reingruber July 31, 2019

July 31, 2019

Please forward this offer among potentially interested students. Thanks. Jürgen Reingruber Topic: Development of a Mathematical Model of Signal Transduction and Adaptation in Mammalian Cone Photoreceptors Field: Computational Neuroscience, Sensory Transduction Location: Institute of Biology École Normale Supérieure, Paris Supervision: Jürgen Reingruber, IBENS Collaboration: G. Fain and A. P. Sampath from UCLA Funding: 42 months by ANR, starting earliest in October 2019 Project description: We are looking for a PhD student for an interdisciplinary project between physics, mathematics computer science and neuroscience. Cone photoreceptors are the fundamental retinal neurons underlying our daylight vision. In spite of their importance for our visual perception, a comprehensive biophysical model showing how cones convert light into an electrical signal has not yet been developed. In close partnership with our experimental collaborators from UCLA, the student will analyze new (and worldwide unique) electrophysiological recordings to develop the first molecular model for the light response in cones. He will use asymptotic analysis and simulations to obtain a precise understanding of how cones respond and adapt during daylight. He will perform simulations with molecularly modified models to study how sensory transduction is altered in a diseased photoreceptor, which is important for understanding and treatment of photoreceptor dysfunctions. More details about the project can be found here: http://www.biologie.ens.fr/~reingrub/content/PhDDescription.pdf Lab and Environment: The lab where the research will be conducted is located in the Institute of Biology at École Normale Supérieure in the Latin Quarter in Paris. The ENS is a leading multidisciplinary research center and part of the PSL university. It is located in the heart of Paris right next Collège de France, Institute Curie, EPSCI (school of engineering), Sorbonne and other universities. The lab provides high speed internet, a powerful workstation (iMac) and access to Bioclust, the IBENS computing cluster. The lab comprises PhD students and postdocs with background in physics, applied mathematics and computer science. Candidate: The candidate should have a solid background in physics, applied mathematics, computer science or equivalent. Her/he should be highly motivated and interested in neuroscience and biology. Ideally the candidate should have skills and experience in modeling, analysis of dynamical systems, stochastic processes as well as programming and running simulations using either Matlab, C/C++, Comsol or Python. To apply, please send a CV and a motivation letter to Jürgen Reingruber (reingrub(a)ens.fr) -- Jürgen Reingruber, PhD Institute of Biology (IBENS) École Normale Supérieure 46 rue d'Ulm, 75005 Paris, France Tel: +33 (0)1 4432 3662 Fax: +33 (0)1 4432 8887

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[jobs] Postdoc on “Understanding of Visually Mediated Social Signs in Humans and Robots” at Istituto Italiano di Tecnologia (IIT)
by Giulio Sandini July 31, 2019

July 31, 2019

Robotics, Brain and Cognitive Sciences Research Line at Istituto Italiano di Tecnologia in Erzelli, Genoa, is seeking to appoint one postdoctoral position focusing on the use of the iCub humanoid robot to investigate the role of body-mediated (embodied) social signals in human-robot collaborative interaction and to identify the minimum subset of signals enabling mutual understanding in human-robot communication in realistic, application oriented, scenarios. The research activities will be carry out under the supervision of Dr. Francesco Rea and Prof. Giulio Sandini (https://www.iit.it/careers/openings/opening/969-postdoctoral-position-in-th… ) The activity will be carried out within a Joint Lab recently established between IIT and a major produrre in the automotive sector, dedicated scientific and technical activities, including training, in the field of signs-based social communication mediated by robots. The research for this Postdoctoral position will involve: a) the development of methods and relative software to generate robot behaviors for natural mutual understanding, b) the design and implementation of novel models of immediate perception of the human partner state, and c) the design of experiments, testing and analysis/validation in human-robot interaction experiments. The first goal of the research is modelling how the robot could adapt its perception and behaviour to the individual needs of the partner during an interaction, with potential implications for communicative technology. The second goal of the research is to exploit how these models can be transferred to novel robotic designs. -- Prof. Giulio Sandini Founding Director - Istituto Italiano di Tecnologia Center for Human Technologies Robotics, Brain and Cognitive Sciences Unit Via Enrico Melen 83 - Building B - 16152 GENOVA Phone: +39 010 2897 227 https://www.iit.it/giulio-sandini https://www.iit.it/rbcs

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Abstract submission extension to the next 15th Granada Seminar on Stochastic and Collective Effects in Neural Systems
by Prof. Dr. Joaquín J. Torres July 30, 2019

July 30, 2019

Dear Computational Neuroscience community This is a kind reminder that the deadline for abstract submission to the next "15th Granada Seminar on Computational and Statistical Physics" that will be held in Granada Spain, next September 17-20, 2019 in the Science Faculty of the University of Granada, Spain, has been extended to the next August 31th, 2019. The Granada Seminar is a topical conference whose pedagogical power is especially channelled towards young researchers. In fact, one interesting aspect of this meeting is the opportunity given to young researchers to present their results and to discuss their problems with leading specialists. The Granada Seminar is Organized by the "Institute Carlos I for Theoretical and Computational Physics, University of Granada, and it is Sponsored by: - Institute Carlos I, for theoretical and computational physics, University of Granada: http://ic1.ugr.es/home/ - European Physical Society This year edition the main topic of the conference is "Stochastic and Collective Effects in Neural Systems" including Biological aspects, Modeling, Dynamics, Networks, Function and Applications. The aim of this meeting is to bring together scientists interested in Neural Systems and their statistical and collective effects from real experiments, theoretical and computational models to applications. Confirmed Main Speakers: Roberto Barrio, Universidad de Zaragoza (Spain): Insect movement gaits: neuron model, CPG and patterns Ginestra Bianconi, Queen Mary University of London (UK) Jesús Cortés, Ikerbasque (Spain) Lucilla de Arcangelis, University of Campania "Luigi Vanvitelli" (Italy) Jose Maria Delgado, Universidad Pablo de Olavide (Spain): Learning as a functional state of the brain Andrea Gabrielli, Istituto dei Sistemi Complessi (Italy): Brain Network Topology Maps Schizophrenia Dysfunctional Substrates Andre Longtin, University of Ottawa (Canada): Detecting and Learning in Noisy Neurons: From Dendrites to Spontaneous Movements Joaquin Marro, Universidad de Granada (Spain):Is the Mind just an assembly of Phase Transitions? Jorge F. Mejías, University of Amsterdam (The Netherlands) Geza Odor MTA EK-MFA (Hungary) Cyriel Pennartz, University of Amsterdam (The Netherlands): Predictive representations and population coding in visual and multisensory systems Dietmar Plenz, NIH National Institute of Mental Health (USA) Ander Ramos, Tecnalia (Spain) Alex Roxin, CRM Barcelona (Spain):A network model of place-cell turnover in CA1 Mavi Sánchez-Vives, Institut d'investigacions Biomèdiques (Spain) Samir Suweis, Universita di Padova (Italy): Simple (but not too simple) models to investigate complex brain dynamics Yuhai Tu, IBM Thomas J. Watson Research Center (USA): Optimal coding strategies in the periferal olfactory systems: Compressed sensing for an array of nonlinear olfactory receptor neurons with and without spontaneous activity Pablo Varona, Universidad Autonoma de Madrid (Spain) Pau Vilimelis Aceituno Max Planck Institute for Mathematics in the Sciencies (Germany) Marius Yamakou Max Planck Institute for Mathematics in the Sciences (Germany) People interested to attend the conference and present their contributions please follow the link below for further information: http://ergodic.ugr.es/cp/index.php Contributions to the conference will be invited to submit an original manuscript for a forthcomming "Special Issue on Emergent Effects in Stochastic Neural Networks with Application to Learning and Information Processing", in the Elsevier Journal "Neurocomputing" (Impact Factor: 4.072, being Q1 in the ISI JCR) -- Prof. Dr. Joaquín J. Torres Department of Electromagnetism and Physics of the Matter. Institute "Carlos I" for Theoretical and Computational Physics. University of Granada.

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NEURON course at SFN 2019 meeting
by Carnevale, Nicholas July 29, 2019

July 29, 2019

Space is still available for the NEURON course that will be held at a location on the campus of the Feinberg School of Medicine in downtown Chicago, as a satellite session to the 2019 meeting of the Society for Neuroscience. This course is for you if you're * a lab director trying to decide whether to add computational modeling to your research program * a grad student or postdoc who is just getting started in modeling * an established NEURON user who wants to find out about NEURON's latest features It starts with a practical introduction that reviews basic concepts, presents a workflow for building and using mechanistic models of cells and networks, and moves on to topics that include: * how to speed up simulations * how to use Python with NEURON (while still taking advantage of NEURON's GUI!) * how to model reaction-diffusion with the RxD class For more information and the registration form, see https://neuron.yale.edu/neuron/static/courses/chi2019/chi2019.html --Ted -- This message was composed in plain text and may contain plain text formatting of source code, tables, and lists. Reading it in a client that ignores "excess" whitespace characters or line breaks may destroy that formatting, making this message unreadable. Outlook does that by default; learn how to disable the "Auto Remove Line Breaks" ""feature"" at support.microsoft.com

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Associate professor in theoretical neuroscience position at Donders Centre for Neuroscience, Radboud University (Nijmegen, The Netherlands)
by Paul Tiesinga July 29, 2019

July 29, 2019

Dear colleagues Were are recruiting a new faculty in the general area of theoretical (and/or computational) neuroscience at the associate professor level. The position is based in the Neuroinformatics department at the Faculty of Science at Radboud University (Nijmegen, the Netherlands) and embedded in the Donders Institute. We are especially encouraging female candidates to apply. Detailed information about the position, as well as instructions of how to apply are found at https://www.academictransfer.com/nl/284454/associate-professor-of-theoretic… . Informal enquiries can be directed to Paul Tiesinga (p.tiesinga(a)science.ru.nl, Head of department) or Bert Kappen (b.kappen(a)donders.ru.nl, Chair of the search committee). Should you know of excellent candidates that may not have been reached by this advertisement, please feel free to forward this email to them or to forward their contact information to us at the aforementioned email addresses. Best regards, Paul Tiesinga, on behalf of the search committee.

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search for neuro faculty at Northwestern University
by Sara A. Solla July 26, 2019

July 26, 2019

The Department of Physiology at Northwestern University, where I work, seeks a full-time tenure track Investigator at the rank of Assistant, Associate or full Professor. Applications from the circuit, systems, and computational neuroscience community would be welcomed. Northwestern has a large neuroscience community consisting of over 150 faculty members, located on both Chicago and Evanston campuses, providing many opportunities for collaboration. The scientific environment is collegial, collaborative, and rich with core facilities, robust cross-disciplinary graduate training programs, and diverse expertise. Candidates should have a PhD, MD/PhD or MD degree, significant research experience, and evidence of sustainable extramural funding. Those seeking appointment at the associate or full professor level should have a record of outstanding research productivity and sustained grant support. When applying, please upload a cover letter, curriculum vitae, a two-page description of research accomplishments/plans, and a completed list of references form to suggest the names of individuals who could write letters of reference on your behalf. See https://www.nature.com/naturecareers/job/faculty-position-in-neuroscience-f…

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Three-year postdoc position in auditory neuroengineering at Imperial College London
by Reichenbach, Johann D T July 26, 2019

July 26, 2019

Postdoctoral Research Associate (PDRA) Duration: Three years, with possibility of extension Sensory Neuroengineering group Imperial College London PI: Dr. Tobias Reichenbach http://www.bg.ic.ac.uk/research/reichenbach/ Imperial College London is a science-based institution with the greatest concentration of high-impact research of any major UK university. The Faculty of Engineering, consistently rated among the best in the world, is made up of 10 academic departments and is committed to increasing its research activity by focusing on engineering-led multidisciplinary growth areas that target a number of global challenges. All of our academic departments are located on a single campus in South Kensington, giving a concentration of talent that creates a stimulating and vibrant research community. You can find out more about our staff benefits, including generous annual leave entitlements and our excellent professional development opportunities, here: http://www.imperial.ac.uk/job-applicants/staff-benefits/. This project is part of a recently funded EPSRC fellowship with the project partners Google and Oticon as well as further academic partners in Aachen, Paris and London. It tackles multisensory integration, one of the main issues in real-world speech comprehension. Multisensory speech perception such as through lip reading can indeed help to better understand a talker in background noise. However, the neural mechanisms behind this multisensory integration remain poorly understood This research project will tackle this challenge through experimental and mathematical techniques. Neuroimaging data acquisition will focus on EEG recordings, which will be analysed using advanced statistical models including deep neural networks. The project will also explore computational models of multisensory integration in cortical networks. Applicants should have an undergraduate degree/ MSc (or equivalent) in engineering, mathematics, physics or neuroscience with experience in signal processing, machine learning as well as human neuroscience. More information and a link to the application form can be found here: http://www.imperial.ac.uk/jobs/description/ENG00933/research-assistantassoc… Application deadline is 29 September 2019. ------------------------------------------- Tobias Reichenbach Senior Lecturer (Associate Professor) Department of Bioengineering Imperial College London South Kensington Campus SW7 2AZ London, UK http://www.bg.ic.ac.uk/research/reichenbach/

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Post-Doc position (Neuronal Rhythms in Movement unit, OIST, Okinawa)
by Marylka Yoe Uusisaari July 26, 2019

July 26, 2019

OIST is a young, fast-growing research-oriented interdisciplinary graduate university, located on the tropical paradise island of Okinawa ( https://www.visitokinawa.jp/) OIST relies on a cross-disciplinary approach, with an emphasis on creativity and exchange, to offer unique, individualized graduate training. Despite being a newcomer in the academic world, OIST was recently ranked as #10 in the world on Normalized Nature Index ( https://www.natureindex.com/annual-tables/2019/institution/academic-normali… ). The Neuronal Rhythms in Movement (nRIM; https://groups.oist.jp/nrim) unit at OIST is looking for an inspired applicant with a PhD in neuroscience, bioengineering, neuromechanics, biophysics or similar related field to lead a collaborative, generously-funded project exploring how abstract patterns of neuronal activity are translated into precisely-timed motor actions using rodents. Our main focus is on natural movements such as running on uneven surface, climbing and jumping that require continuous modulation of behavioral programs. The successful applicant will be combining our novel, high-resolution 3D motion capture system with deep-brain imaging (Inscopix nVoke system) and optical/pharmacological manipulation to disentangle the circuitry mechanisms underlying fine motor control. The work will be conducted in tight collaboration with in vitro physiologists and anatomists, and complemented with computational approaches from our collaborators. Working with nRIM at OIST offers access to impressive research infrastructure including state-of-the-art imaging as well as scientific computing facilities. Importantly, we are dedicated to training early-career scientists for their best possible future and offer high-level professional and career development in form of personalized counseling, workshops and seminars, in addition to extensive opportunities for travel and networking within academia and industry as well as coaching in grant-writing. nRIM is a tight group of extraordinary individuals, and to ensure perfect fit to the group, shortlisted applicants will be invited to visit OIST for a 3-day interview meeting before any decisions are made. Qualifications: - A PhD (obtained within last 5 years) in relevant disciplines, such as biosciences, neuroscience, bioengineering, physics or computer science - Experience in building and programming (MATLAB) experimental systems - A record of first-author, high-impact publications is not required as we do not believe that scientific excellence necessarily correlates with them. However, a record of research and publication activity is required. - Prior experience with animal handling, olivo-cerebellar systems or calcium imaging is greatly appreciated even if not necessarily required; however, motivation and capability to learn new approaches such as these is a must. - nRIM is a team endeavor; thus, ability to work effectively with a group is a must - Capabilities related to managing complex data, record-keeping, and planning experimental schedules are indispensable. In accordance of OIST regulations, salary and benefits, including paid leave and summer holidays, health care and relocation support to Okinawa, will be offered at a competitive rate based on age and experience. Furthermore, as a part of OIST strategies for Good Research Environment, dedicated mentoring will be provided to ascertain best possible career development for researchers at all stages. The working language at all operational levels is English, and Japanese language classes are offered on-site free of charge. OIST is an equal opportunity, affirmative action employer implementing progressive workplace policies and strongly encourages applications from women and other under-represented groups. Whenever possible, OIST will attempt to help in finding employment for the employee’s partner. To apply, please send a cover letter describing your motivation for this position, CV & publications list, as well as contact information for 2 referees to uusisaari(a)oist.jp by September 30th, 2019. Informal queries are also welcomed.

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Computational Neuroscience opportunity -- startup tackling brain disorders with ML
by Nate Boyd July 26, 2019

July 26, 2019

System1 (system1.bio) is a drug discovery company for neurological and psychiatric disorders, combining applied research in 3D cell culture biology (cerebral organoids) and machine learning. We are looking for a senior scientist to lead development of our experimental neuroscience and machine learning platform. Help us create a unified understanding of neural pathways and drug interactions from calcium imaging, electrophysiology, and other data sets. Steer our research, coordinate efforts across biology and computation, and build our neuroscience team as we grow. This position reports to the CEO. Founded by repeat entrepreneurs and researchers from respected labs, System1 is assembling a multidisciplinary team with the goal of increasing understanding of how our neural circuitry works, how it fails, and how to heal it. We're located in San Francisco and have raised $30M of venture funding to date. More about us: https://docs.google.com/document/d/1rAW8riYpupEoynWLM7quNFFCrL_FTkDdJJleoS9… Organoid technology review: http://dev.biologists.org/content/144/6/938 Contact: nate(a)plusplustalent.com Warm regards, Nate Boyd linkedin.com/in/nateboyd

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Open postdoctoral researcher position at Stanford
by Aaron Milstein July 25, 2019

July 25, 2019

A postdoctoral research position is available in the lab of Dr. Ivan Soltesz in the Dept. of Neurosurgery, Stanford University School of Medicine, also affiliated with the Wu Tsai Neurosciences Institute at Stanford. The position is fully funded by NIMH through an NSF-NIH Collaborative Research in Computational Neuroscience research grant awarded to Stanford Instructor Dr. Aaron Milstein. The project is an international collaboration with Dr. Marlene Bartos at the University of Freiburg, Germany. The postdoctoral researcher will be co-mentored by Drs. Soltesz and Milstein. We are seeking a talented scientist to use modern computational modeling and data analysis methods to understand the roles of specific inhibitory and excitatory cell types found in hippocampal microcircuits in controlling spatial learning and memory. In particular, we are interested in nonlinear signal integration and associative synaptic plasticity mechanisms in the dendrites of granule cells in the hippocampal dentate gyrus, and their regulation by a unique class of excitatory interneurons implicated in epilepsy, the dentate mossy cells. This position represents a unique opportunity be co-mentored by multiple investigators at the forefront of the field, and includes funded travel to interact with experimental collaborators and to attend research conferences in the U.S. and Europe. We urge interested applicants to read the following papers describing our recent work, and to include in their cover letter any insighful comments and questions that they may have: http://doi.org/10.1126/science.aan3846 http://doi.org/10.1126/science.aan4074 http://doi.org/10.1038/s41586-018-0191-2 Required Qualifications: Ph.D. in neuroscience, computational neuroscience, bioengineering, or computer science Prior experience in modeling biological neural circuit function and/or plasticity in health and/or disease Required Application Materials: C.V. Contact information for 2 professional references A brief personal statement describing your perspective on biological neural circuit function and/or plasticity, including insightful comments and questions pertaining to recent publications by Drs. Aaron Milstein, Ivan Soltesz, Marlene Bartos and colleagues Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law. Apply here: https://postdocs.stanford.edu/prospective/opportunities/open-postdoctoral-p…

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The Virtual Brain Node#9 Workshop, August 31 2019, Warsaw
by Julie Courtiol July 25, 2019

July 25, 2019

*TheVirtualBrain <https://www.thevirtualbrain.org/>* team is organising its *Node 9 Workshop on August 31, in Warsaw, Poland*! Please consider attending the workshop and sharing the information to your group in case this would be useful for them! For more infos, click here <https://www.thevirtualbrain.org/tvb/zwei/newswire-event-single/253901-works…> Hope to see you there! Best regards, Julie Courtiol Research Fellow Charité Universitätsmedizin Berlin ---------------------------------------- The workshop is dedicated to a theoretical and practical *understanding of large-scale brain network modeling using the open-source neuroinformatics platform The Virtual Brain (TVB)*. This simulation environment enables the biologically realistic modeling of whole-brain network dynamics across different brain scales, using personalized structural connectome-based approach. Configurable brain network models generate macroscopic neuroimaging signals including functional MRI, intracranial and stereotactic EEG, surface EEG and MEG for single subjects. Researchers from different backgrounds can benefit from an integrative software platform including a simulation core written in Python and a supporting framework for data management (generation, organization, storage, integration and sharing). The workshop is an official training event of the *NeuroInformatics 2019 <https://www.neuroinformatics2019.org/>* that will be held on September 1-2, also in Warsaw. *:: Workshop Format * • Lectures • Hands-on tutorials *:: Workshop Program Overview* • Architecture of TVB • Theoretical background of large-scale brain network modeling • Interacting with TVB using GUI and/or CLI • Personalization pipeline • Modeling resting-state networks, brain disorder, stimulation, mouse brain activity, etc. *Please make sure to register early as we only offer limited seats to ensure there are enough tutors for you.* *REGISTRATION CLOSES JULY 31st, 2019* *IMPORTANT TO NOTE* **Anyone is welcome to register to TVB Node #9!** You DO NOT need to be registered for NeuroInformatics 2019 in order to register for this workshop. Registration for TVB Node #9 workshop is separated from registration to NeuroInformatics 2019. *REGISTER HERE <https://en.xing-events.com/tvb-node9>*

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open faculty and fellow positions at CSHL
by Engel, Tatiana July 25, 2019

July 25, 2019

Dear colleagues, I would like to bring to your attention the open Fellow and Faculty positions at the Cold Spring Harbor Laboratory. The Fellow position is an opportunity for early independence for candidates who recently finished or are about to finish their PhD, it provides resources for building a small research group and a possibility of promotion to the faculty. Both positions include computational/theoretical neuroscience. Please do not hesitate to contact me if you have any questions about the positions or how to apply. 1) Faculty: https://www.cshl.edu/about-us/careers/faculty-positions/ 2) Fellow: https://www.cshl.edu/research/fellows-programs-at-cshl/cshl-fellows-program… Sincerely, Tatiana -- Tatiana Engel, PhD Assistant Professor Cold Spring Harbor Laboratory 1 Bungtown Road, Cold Spring Harbor, NY (+1) 408 409 3647

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Postdoctoral Position in Pain and Affect
by Atlas, Lauren (NIH/NCCIH) [E] July 24, 2019

July 24, 2019

Our lab, the Section on Affective Neuroscience and Pain (ANP Lab), is recruiting one to two postdoctoral researchers with expertise in computational modeling, fMRI, and/or affective science to lead new projects on the psychological modulation of pain and emotional experience using high field imaging (7-Tesla MRI). Our lab is part of NIH's intramural research program, and is affiliated with the intramural programs of NCCIH, NIMH, and NIDA. For more information on postdoctoral positions within NIH, see https://www.training.nih.gov/programs Research in the ANP Lab focuses on the mechanisms by which expectations, learning, and other cognitive and affective factors influence pain, emotion, and clinical outcomes. We combine approaches from experimental psychology, neuroimaging, psychophysiology, and computational modeling to investigate pain and emotional experience in healthy individuals as well as individuals with chronic pain and/or affective disorders. We are particularly interested in the intersection of appetitive and aversive learning, how psychosocial factors influence pain and clinical outcomes, and questions motivated by pain’s central role in the opioid crisis. Postdoctoral researchers are expected to develop their own projects, with guidance, and to collaborate with other researchers in the lab. For more information about our research, see: https://nccih.nih.gov/research/intramural/atlas-lab We are looking for someone to spearhead new projects using high field imaging (7T-FMRI) to examine pain and perception across domains. The candidate should have a strong background in psychology and neuroscience and must have received a Ph.D. in a relevant field by the time of appointment. Candidates with successful publications in the fields of pain, emotion, and/or computational modeling are encouraged to apply. Postdoctoral positions require experience with 1) design of behavioral and fMRI experiments and 2) analysis of fMRI data using statistical parametric mapping packages (SPM, AFNI, etc.). Programming skills in MATLAB, C, and/or Python are highly desirable. These requirements will be flexible for candidates with clinical experience in pain populations. Appointments and salary are commensurate with research experience and accomplishments. The candidate will be supported with the excellent intramural NIH fellowship in a stimulating and interactive research environment at NIH. NIH has exceptional multidisciplinary research facilities including structural and functional MRI, MEG, PET, and TMS. Our lab is fully funded with dedicated weekly scan time, a full-time data analyst, and the opportunity to work alongside some of the world’s foremost fMRI experts. Training in advanced imaging and other techniques is available, as are courses in grant writing and career development. How To Apply Applicants should submit a CV, a brief description of research interests and career goals, and the names of three references to: lauren.atlas(a)nih.gov(Investigator/Chief, Section on Affective Neuroscience and Pain, NCCIH/NIMH/NIDA, NIH). Applications will be accepted until the position is filled. The Department of Health and Human Services and NIH are equal opportunity employers committed to equity, diversity and inclusion.

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Dual Award PhD (UH/WSU) in Neuromorphic olfaction - deadline and scope extended
by Michael Schmuker July 23, 2019

July 23, 2019

Now open for all applicants! An exceptional opportunity for a dual award PhD in Neuromorphic olfaction is open at the University of Hertfordshire, UK, that includes a year abroad at Western Sydney University, Australia. The successful candidate will obtain a PhD degree from both UH and WSU. We offer an exciting 3-year project in Neuromorphic computing under joint supervision of Dr Michael Schmuker (UHERTS), and Dr André van Schaik (WSU). The first and third year of the programme will be spent in the Biocomputation research group at UH, with the second year spent at the International Centre for Neuromorphic Systems, led by André van Schaik (WSU). The successful candidate has the unique opportunity to join two vibrant and research-driven teams at opposite ends of the world and carry home two PhD awards. The ideal candidate has an exceptional interest in at least one of neuromorphic computing, event-based data science, chemical sensing. The position comes with a bursary of £15,009 per year. Airfare to and from WSU in Australia is covered, too. There is no restriction on the candidate’s current country of residence. Interested? Please get in touch informally with Dr. Michael Schmuker <mailto:m.schmuker@biomachinelearning.net> by email as soon as possible. Don’t delay! Shortlisting will begin on 29th July 2019 (extended deadline). How to apply Download the application form <https://www.herts.ac.uk/__data/assets/pdf_file/0010/31105/uh-application-fo…>, fill it out, save it to your disk, and return it to: Lynette Spelman and Emma Thorogood <mailto:doctoralcollegeadmissions@herts.ac.uk> Research Student Administrators University of Hertfordshire College Lane Hatfield, Herts AL10 9AB tel: +44 (0)1707 286083 — Dr Michael Schmuker AFHEA Reader in Data Science Biocomputation Group University of Hertfordshire https://biomachinelearning.net <https://biomachinelearning.net/>

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CFP Frontiers Research Topic: Closing the Loop: From Human Behavior to Multisensory Robots
by Pablo Barros July 23, 2019

July 23, 2019

Call For Papers - Frontiers Research Topic: Closing the Loop: From Human Behavior to Multisensory Robots I. Aim and Scope The ability to efficiently process crossmodal information is a key feature of the human brain that provides a robust perceptual experience and behavioral responses. Consequently, the processing and integration of multisensory information streams such as vision, audio, haptics, and proprioception play a crucial role in the development of autonomous agents and cognitive robots, yielding an efficient interaction with the environment also under conditions of sensory uncertainty. This Research Topic invites authors to submit new findings, theories, systems, and trends in multisensory learning for intelligent agents and robots with the aim to foster the development of novel and impactful research which will contribute to the understanding of human behavior and the development of artificial systems operating in real-world environments. II. Potential Topics Topics include, but are not limited to: - New methods and applications for crossmodal processing and multisensory integration (e.g. vision, audio, haptics, proprioception) - Machine learning and neural networks for multisensory robot perception - Computational models of crossmodal attention and perception - Bio-inspired approaches for crossmodal learning - Multisensory conflict resolution and executive control - Sensorimotor learning for autonomous agents and robots - Crossmodal learning for embodied and cognitive robots III. Submission - Abstract - 28th August 2019 - Paper Submission - 02nd December 2019 We have special discounts for open access papers participating in this research topic. If you have any further question, please let us know. More information: https://www.frontiersin.org/research-topics/9321/closing-the-loop-from-huma… IV. Guest Editors Pablo Barros, University of Hamburg, Germany Doreen Jirak, Hamburg University, Germany German I. Parisi, Apprente, Inc., USA Jun Tani, Okinawa Institute of Science and Technology, Japan -- Dr. Pablo Barros Postdoctoral Research Associate - Crossmodal Learning Project (CML) Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Phone: +49 40 42883 2535 Fax: +49 40 42883 2515 barros at informatik.uni-hamburg.dehttp://www.pablobarros.nethttps://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.htmlhttps://www.inf.uni-hamburg.de/en/inst/ab/wtm/

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Open positions in human-machine interaction at Imperial College London
by Eden, Jonathan July 23, 2019

July 23, 2019

We at the human robotics group (https://www.imperial.ac.uk/human-robotics) use an integrative approach of neuroscience and robotics to investigate human sensorimotor control, and to design efficient human-machine interaction, assistive devices and training systems for neuro-rehabilitation. We have openings for 2 postdoctoral and 5 PhD positions for projects related to: - predictive haptic coding in animals and for robotics (https://www.ph-coding.eu/) - haptic communication between humans and with robots (see Takagi et al. Nature Human Behaviour 2017, PLoS Computational Biology 2018, eLife 2019; Li et al. Nature Machine Intelligence 2019.) - sensorimotor augmentation and control of supernumerary limbs (see Abdi et al. Scientific Reports 2016; Mehring et al. Nature Communication 2019) - technology for social neurorehabilitation (Mace et al. J of NeuroEngineering and Rehabilitation 2017, in collaboration with https://www.gripable.co/) - development of neural activity in infants born preterm and with cerebral palsy (see DallOrso et al. Cerebral Cortex 2018, Mutalib et al. J of NeuroEngineering and Rehabilitation 2019) Interesting applicants with suitable background(s) can submit a CV and <1 page of motivation for such position to <j.eden(a)imperial.ac.uk<mailto:j.eden@imperial.ac.uk>> with title "HRG position: <your name>". You can also ask for information at the same address. We are looking for postdocs with a strong background in computational modelling. These postdocs will have the opportunity to work with our network of collaborators and to be involved in guiding of PhD students in their respective projects. Suitable backgrounds for Ph.D. applicants may be in physics, related engineering fields and computer science. Note that the funding is only for the EU/EEA/UK level of fees for PhD studies at Imperial. However candidates from outside the EU are welcome to apply if they have suitable complementary funding. I look forward to your application! Etienne Burdet www.imperial.ac.uk/human-robotics<http://www.imperial.ac.uk/human-robotics> eburdet(a)ic.ac.uk<mailto:eburdet@ic.ac.uk> Imperial College London South Kensington campus SW7 2AZ London, UK

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NIH-BRAIN funded computational neuroscientist postdoc position @ Dierssen's lab Barcelona
by Linus Manubens Gil July 22, 2019

July 22, 2019

A computational neuroscientist researcher position is available in the lab of Mara Dierssen<https://www.crg.eu/en/programmes-groups/dierssen-lab> at the CRG. The Cellular and Systems Neurobiology lab at the Center for Genomic Regulation, a leading renowned center for biomedical research in Europe offers a full-time contract for a research assistant. We seek a physicist, computational biologist, computational engineer or mathematician to collaborate on (1) the imaging and analysis of whole mouse brains using light-sheet fluorescence microscopy, (2) the development of a computational framework for studying the relation between multiscale 3D neuromorphological properties and neuronal network connectivity with applications in the study of Down syndrome and (3) the analysis of stereo-EEG recordings applied to the study of seizure generation in intractable epilepsy. The projects are led by the team leader of the Cellular and Systems Neurobiology group Dr Mara Dierssen and the candidate will tightly collaborate with the team of Dr Bing Ye (UMichigan). If interested, please apply at: https://recruitment.crg.eu/content/jobs/position/computational-biologist-re… Find detailed information on the position in the link and below. Best! Linus Manubens-Gil, PhD Lab 522.04 - Cellular & Systems Neurobiology Systems Biology Centre for Genomic Regulation (CRG) c/Dr. Aiguader 88 08003, Barcelona About the team/ lab/ department The Dierssen lab is centered on understanding cognition and behavior and their perturbation in intellectual disability. We are an interdisciplinary team of physicists, bioinformaticians and experimental biologists, and we focus on data collection (behavior, 3D imaging, genomic data) of many variables of the system (longitudinal behavioral analysis, mesoscopic analysis of neuronal networks, gene expression patterns). We take advantage of computer modeling and bioinformatics analysis (gene networks, neuronal network modeling, etc.) to tackling classical unresolved questions in the field, such as: (a) pathological disturbances of structural optimality in single cell and neuronal networks, (b) genomic dependence of cognitive disturbances, (c) identification of predictive non-invasive biomarkers, (d) discovery of pro-cognitive therapies. Whom would we like to hire? Professional experience Must Have · Experience in computer programming (MATLAB/Python/R/C++) is required · Experience in brain clearing experimental protocols is highly desirable Desirable but not required/ Nice to have · Experience in Light-Sheet Fluorescence Microscopy imaging and terabyte-sized dataset handling is desirable · Experience in designing and developing computational methods for three-dimensional modelling is recommended · Experience with and/or the ability to quickly acquire skills in electrophysiological recordings and analysis (e.g. EEG/EMG) is desirable Education and training · PhD in physics, computational neuroscience/biology, mathematics, computational engineering or related fields Languages · Fluent level of English Technical skills · A formal training and strong background in programming and modeling · Good script programming skills (MATLAB, Python, R, C++, shell scripting) · Laboratory animal care training (in accordance with RD 53/2013, category B) will be highly valued Competences · Highly developed organization skills The Offer · Contract duration: 3 years · Estimated annual gross salary: Salary is commensurate with qualifications and consistent with our pay scales. · Target start date: September 15, 2019 We provide a highly stimulating environment with state-of-the-art infrastructures, and unique professional career development opportunities. We offer and promote a diverse and inclusive environment and welcomes applicants regardless of age, disability, gender, nationality, race, religion or sexual orientation. The CRG is committed to reconcile a work and family life of its employees and are offering extended vacation period and the possibility to benefit from flexible working hours. Application Procedure All applications must include: 1. A motivation letter addressed to Dr Mara Dierssen. 2. A complete CV including contact details. 3. Contact details of two referees. All applications must be addressed to Dr. Mara Dierssen and be submitted online on the CRG Career site - http://www.crg.eu/en/content/careers/job-opportunities Deadline: Please submit your application by 15/08/2019

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Special Issue "Probabilistic Inference in Goal-Directed Human and Animal Decision-Making" [journal Entropy, IF=2.419]
by Domenico Maisto July 19, 2019

July 19, 2019

Dear Colleagues, please consider submitting a research article/review to the special issue of *Entropy* <https://www.mdpi.com/journal/entropy> “*Probabilistic Inference in Goal-Directed Human and Decision-Making*”. This special issue aims to focus on recent computational, methodological, algorithmic advances regarding inferential processing in decision-making with particular attention on efficiency and biological plausibility. Topics include: - *computational and neuronal circuits* involved in goal-directed decision making, with a focus on the inferential mechanisms; - *novel probabilistic models and methods* in decision making including information-theory approaches, statistical and free-energy minimization, hierarchical models, deep networks - *decision-making applications* in ethological, social, psychological, psychiatric, robotics, and computer science research. *Entropy <https://www.mdpi.com/journal/entropy>* is an online open access interdisciplinary peer-reviewed journal of growing popularity providing an advanced forum for the development and/or application of entropic and information-theoretic studies in a wide variety of applications. Author Benefits: - *Open Access*: free for readers, with article processing charges (APC) paid by authors or their institutions. -* High visibility*: indexed by the Science Citation Index Expanded (Web of Science), MathSciNet (AMS), Inspec (IET), Scopus and other databases. - *Rapid publication*: manuscripts are peer-reviewed and a first decision provided to authors approximately 19.1 days after submission; acceptance to publication is undertaken in 5 days (median values for papers published in this journal in the second half of 2018). More information on the special issue website: https://www.mdpi.com/journal/entropy/special_issues/probabilistic_inference Looking forward to your contributions Dr. Francesco Donnarumma <francesco.donnarumma(a)istc.cnr.it> Dr. Domenico Maisto <domenico.maisto(a)icar.cnr.it> Dr. Ivilin Stoianov <ivilin.stoianov(a)istc.cnr.it> Guest Editors

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Postdoc position in Computational Cognitive Neuroscience - TU Dresden - Correction
by Lorenz Goenner July 17, 2019

July 17, 2019

(Apologies for re-posting because of a broken web link) Dear colleagues, the Systems Neuroscience Lab (Prof. Michael Smolka) at TU Dresden invites applications for a Postdoctoral Fellow in Computational Neuroscience The position is initially limited until June 30 th, 2023, and is subject to TV-L remuneration (E13 scale, 100%). Within the Technische Universität Dresden, the Section of Systems Neuroscience is closely associated with the Departments of Psychiatry and Psychology and the Neuroimaging Center, which offers excellent research collaborations (e.g. Computational Cognitive Neuroscience Lab, Prof. Stefan Kiebel) and infrastructure (3 Tesla MRI scanner for full-time research, MRI-compatible EEG and eye tracking, as well as TMS and TDCS). Our international and multidisciplinary group conducts cognitive neuroscience research at the cutting edge and the translation to clinical applications. In order to better understand human action control we investigate cognitive processes such as value-based decision-making and learning. On the clinical side we study how these neuro-cognitive mechanisms contribute to the complex behavioral dysfunctions observed in mental disorders. Our lab is engaged in two Collaborative Research Centers (CRC). The CRC 940 ‘Volition and Cognitive Control: Mechanisms, Modulators, and Dysfunctions’, and the newly established TRR 265 ‘Losing and Regaining Control over Drug Intake: From Trajectories to Mechanisms to Interventions’. These centers combine research in cognitive and computational neuroscience with research in clinical psychology and psychiatry. The position is an ideal opportunity to work in an interdisciplinary group of researchers, and contribute to a wide range of projects investigating computational and neuronal underpinning of human behavior Your tasks: • Computational modelling of behavioural data from decision-making tasks • Improving existing and developing new methods (e.g., reinforcement/temporal difference learning, Markov models, Bayesian and active inference models) with support by an experienced modelling group • Preparing manuscripts and presenting results at conferences • Instructing and supervising PhD students Your profile: • University degree (master or diploma) with a strong quantitative background (e.g., computational neuroscience, physics, mathematics, computer science, statistics) • Doctoral degree and documented interest in Computational Neuroscience, Cognitive Neuroscience, Psychology • Expertise in computational modelling of behavioural data • Programming skills in common software environments (e.g., Python, MATLAB) • Keen interest in collaboration with experimental researchers to study complex human behaviour • Expertise in neuroimaging data analysis would be advantageous We offer you: • Being part of the CRCs and their scientific activities • Working in a highly interdisciplinary team with leading cognitive and computational neuroscientists We look forward to receiving your complete application (one PDF-document including a cover letter with a brief summary of research interests, full CV, and two references) until July 29th, 2019. To apply and for informal inquiries, please contact: Prof. Michael Smolka (michael.smolka(a)tu-dresden.de)

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[journals] CfP: Special Issue on Inter- and Intra-subject Variability in Brain Imaging and Decoding
by Chun-Shu Wei July 16, 2019

July 16, 2019

Dear Colleagues, In collaboration with the journal Frontiers in Computational Neuroscience, we are bringing together a selected group of international experts to contribute to an open-access article collection on: Inter- and Intra-subject Variability in Brain Imaging and Decoding ( https://www.frontiersin.org/research-topics/10801/inter--and-intra-subject-… ) We welcome you to submit your work in the field of brain imaging and decoding. Manuscripts can be submitted to this Research Topic via either of the following three journals: Frontiers in Neuroscience (Brain Imaging Methods), Frontiers in Computational Neuroscience or Frontiers in Human Neuroscience. ABOUT THIS RESEARCH TOPIC Pervasive and elusive human variability, both across and within individuals, poses a major challenge in interpreting and decoding human brain activity. Differences in brain anatomy and functionality across individuals contribute to the inter-subject variability. Within an individual, changes in neural processing, non-stationarity of brain activities, the variation of neurophysiological mechanisms, and various unknown factors might give rise to the intra-subject variability. Recently, there has been an increasing number of studies that have focused on appreciating rather than ignoring variability. Through the lens of variability, they have led to a better insight into individual differences and cross-session variations, facilitating precision functional brain mapping and decoding based on individual variability and similarity. For instance, the robustness of brain decoding has been improved by transfer learning techniques that are capable of tackling variability in data collected from different subjects across different sessions and days. On the other hand, the applicability of a neurophysiological biometric relies on its manifest inter-subject variability and minimal intra-subject variability. Critical questions, therefore, arise regarding how inter- and intra-subject variability can be observed, analyzed and modeled, what pros and cons researchers might gain from the variability, and how to deal with the variability in brain imaging and decoding. The goal of this Research Topic is to encourage researchers to examine human variability in brain imaging and decoding, with a focus on both advantages and disadvantages of inter- and intra-subject variability in mapping and modeling brain functions. We welcome empirical, theoretical and meta-analytical work and encourage authors to re-examine their datasets through the scopes of human variability rather than averaged observations and overall interpretations. Subtopics of interest include, but are not limited to: • The imaging and characteristics of inter- and intra-subject variability in neuroimaging data. • Evaluating and tracking variability within a single subject and across multiple subjects. • Obtaining neuroscientific findings from leveraging the variability in brain activities. • Enhancing the performance of brain decoding against or through variability. • Generic model learning of brain imaging • Transfer learning and model adaptation based on inter-/intra-subject variability Keywords: variability, neuroimaging, brain mapping, brain decoding, functional brain modeling, brain-computer interface, EEG, MEG, fMRI, fNIRS Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review. GUEST EDITORS Tzyy-Ping Jung, University of California, CA, United States Corey Keller, Stanford University, CA, United States Junhua Li, University of Essex, United Kingdoms Yuan-Pin Lin, National Sun Yat-sen University, Taiwan Masaki Nakanishi, University of California, CA, United States Johanna Wagner, University of California, CA, United States Chun-Shu Wei, Stanford University, CA, United States Wei Wu, Stanford University, CA, United States Yu Zhang, Stanford University, CA, United States IMPORTANT DATES 17th August 2019 – Abstract submission deadline 15th December 2019 – Manuscript submission deadline I look forward to your response. Kind Regards, Chun-Shu Wei Topic Editor, Frontiers in Computational Neuroscience On behalf of the Topic Editors. Chun-Shu Wei, Postdoctoral Fellow, Psychiatry and Behavioral Science, Stanford University cswei.tw(a)gmail.com | 858.380.8231 | https://sites.google.com/view/cswei/

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Chief Medical Officer (CMO) vacancy in Berlin-based startup
by hamed bahmani July 16, 2019

July 16, 2019

*Dopavision GmbH* is a digital-health startup based in Berlin with the mission to disrupt vision care with digital solutions. We are backed with venture capital and a research grant from the German Federal Ministry of Education and Research (BMBF). We are developing a digital solution for myopia control which aim at modulating retinal dopamine by artificial light, in order to regulate the eyeball growth. We have successfully conducted proof-of-concept experiments and are now moving into pre-clinical investigations together with national and international academic partners. We are a team of 4 experienced scientists and startup entrepreneurs and supported by renowned scientific advisors and strategic pharmaceutical partners. We are now looking for a *Chief Medical Officer (CMO) *to join the leadership team and prepare, lead, and conduct the next stage human clinical studies. If you are passionate about eye, vision, clinical studies or digital health technologies and enjoy working in an early-stage startup, then we would like to get to know you! *Your Responsibilities* · Develop our clinical investigation strategy in order to successfully launch our product as a validated medical device · Decide on the overall company strategy as a member of the leadership team · Lead our clinical investigations through all phases – you’re responsible to achieve our scientific goals and manage the project · Manage our (not-so-small) budget for clinical investigations and contribute to fund-raising activities · Build and lead your team for medical and clinical investigations · Innovate clinical study protocols for our digital medical devices, e.g., by designing new blinding and placebo methods suitable for our break-through intervention · Work closely with our regulatory and product development team, as well as the science team to align activities and solve problems together · Become an expert in previously conducted clinical studies on myopia control, eye and vision care, and existing scientific literature · Build strong partnerships with industry partners from the pharmaceutical or medical device sector, and academic partners all around the world · Write and publish the results for internationally renowned scientific journals, and present them at international conferences · Communicate the clinical strategy to investors and business stakeholders *Your Qualifications* · MD or PhD in medical sciences, vision sciences, or life sciences with proven research experience · > 5 years of experience in clinical investigations in the pharmaceutical, health care, or medical device industry, thereof 3-5 years in a leadership or project management position · Experience in digital healthcare is a plus · Ideally deep expertise in at least one of the following areas: neurobiology of the eye, ophthalmology, myopia, or optics of the eye · Working knowledge of pharmaceutical or medical device regulatory frameworks · Excellent communication skills and fluent in English; German is a plus · Strategic thinking and excellent problem-solving abilities · Entrepreneurial experience or business experience in Asia is a big plus *What we offer* · Competitive base salary plus equity · You build the team with us and define the way our company will work – as employee number 5 · Shape the future of digital medicine and address an unmet medical need that affects billions of people world-wide · Invent new protocols and ways to perform clinical investigations for digital health care together with sharp minds in the team · Continue building your scientific career by publishing your findings in renowned international journals and present them at conferences · Work together with the best scientists in the field of myopia research from all around the world – Asia, Australia, and Europe, among others · Work together with opinion leaders in digital health in Germany from our partner Flying Health, as well as our internationally leading pharmaceutical partner · Build a great, fast-learning organization with us, with a flat hierarchy and direct communication · Offices in Mindspace, the coolest co-working space in the heart of Berlin (at least in our opinion) with free yoga classes, coffee and happy hours on the terrace Sounds like your next adventure? Apply online at http://www.dopavision.com/career-cmo.html – we’re looking forward to getting to know you! Not sure? Still take a moment to reach out to get to know us or ask your questions: jobs(a)dopavision.com *Location: *Berlin *Position: *Full-time Best regards, Dr. Hamed Bahmani Founder and Managing Director, Dopavision GmbH

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Final call for the Modellers Workshop for the Brain Dynamics Toolbox
by Stewart Heitmann July 16, 2019

July 16, 2019

Modeller’s Workshop for the Brain Dynamics Toolbox Online Course July 1-19, 2019 Final Announcement. Enrolments close on Friday. The Modeller’s Workshop is an on-line course is for researchers and students who wish to use the Brain Dynamics Toolbox to simulate 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. https://bdtoolbox.org/p/modellers-workshop/ Important Dates Enrolments close Friday 19th July, 2019. Stewart Heitmann | Computational Scientist Victor Chang Cardiac Research Institute | Lowy Packer Building | 405 Liverpool St, Darlinghurst NSW 2010 Australia E: s.heitmann(a)victorchang.edu.au<mailto:s.heitmann@victorchang.edu.au> | @VictorChangInst ______________________________________________________________________ The Victor Chang Cardiac Research Institute's Email is scanned by the MessageLabs Email Security System.

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NEURON course at SFN 2019 meeting
by Carnevale, Nicholas July 16, 2019

July 16, 2019

Using NEURON to Model Cells and Networks Friday, Oct. 18, 2019 from 9 AM to 5 PM at a downtown Chicago location. Satellite event to the 2019 Society for Neuroscience Meeting This course provides a practical introduction to building and using models of neurons and networks with NEURON. Covered topics include basic concepts, workflow for building and using models, speeding up simulations with parallel hardware from multicore personal computers to massively parallel supercomputers, using Python with NEURON, and modeling reaction-diffusion with the RxD class. The registration deadline for this course is Friday Oct. 4, but you should sign up early because space is limited. See https://neuron.yale.edu/neuron/static/courses/chi2019/chi2019.html for more information and a link to the registration form. --Ted

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Open position as Chief Technology Officer (CTO) in Berlin-based startup
by hamed bahmani July 15, 2019

July 15, 2019

*Dopavision GmbH* is a digital-health startup based in Berlin with the mission to disrupt vision care with digital solutions. We are backed with venture capital and a research and development grant from the German Federal Ministry of Education and Research (BMBF). We are developing a digital solution for myopia control which can take the form of a smartphone app or an application for a virtual or augmented reality device, as well as smart glasses. We have completed proof-of-concept studies and are moving into pre-clinical investigations and technology development. We are a team of 4 experienced scientists and startup entrepreneurs and supported by renowned scientific advisors and strategic industry partners. We are now looking for a *Chief Technology Officer (CTO) *to join the leadership team and advance our product and technology strategy. If you are passionate about digital health and cutting-edge technologies and enjoy working in an early-stage startup where you can combine your strategic thinking with your hands-on mentality to develop a great consumer product, then we would like to get to know you! *Your Responsibilitie**s* · Develop our technology strategy to build a medical device which will be clinically validated and comply with medical device regulations · Decide on the overall company strategy as a member of the leadership team · Define and implement the hardware platform, software platform/technology stack and the systems infrastructure for our product · Lead the development of our application: Prototypes for different stages of experiments, and the final product · Build and lead your team of top-of-the-field developers and IT experts · Manage our product development and IT budget, and relations with external providers · Implement necessary processes for a digital medical device development setup: ISO-certification for quality management, technical documentation, and data protection · Work closely with our regulatory and clinical investigations team to successfully conduct clinical investigations, and apply for regulatory approval, risk management evaluations etc. · Communicate the technology strategy to partners and investors *Your Qualifications* · Proven experience as a CTO or similar leadership role in digital technology companies · Considerable years of experience in developing technology in a medically regulated context, ideally in a pharmaceutical, medical device or optics company · Knowledge on current digital technology trends, e.g., VR/AR/MR, eye tracking technology, smart wearables, digital displays · Track record of building successful consumer digital products, e.g., web applications, games, apps or similar · Experience with mobile native development frameworks · Understanding of budgets and business-planning · Experience with German/international data protection requirements · Excellent communication skills and fluent in English; German is a plus · Proven to be an inspiring leader to people and teams · Strategic thinking and excellent problem-solving skills · BSc/BA or higher in Computer Science, Biomedical Science, Engineering or a related field; MBA or other relevant graduate degree is a plus *What we offer* · Competitive base salary plus equity · You build the team with us and define the way our company will work – as employee number 5 · Shape the future of digital medicine and address an unmet medical need that affects billions of people worldwide · Develop a product used as a real medical treatment that can change thousands of lives · Build a great, fast-learning organization with us, with a flat hierarchy and direct communication · Access to our network of peers and partners who are shaping the Berlin ecosystem of digital health · Offices in Mindspace, the coolest co-working space in the heart of Berlin (at least in our opinion) with free yoga classes, coffee and happy hours on the terrace Sounds like your next adventure? Apply online at http://www.dopavision.com/career-cto.html – we’re looking forward to getting to know you! Not sure? Still take a moment to reach out to get to know us or ask your questions: jobs(a)dopavision.com *Location:* Berlin *Position:* Full-time Best regards, Dr. Hamed Bahmani Founder and Managing Director, Dopavision GmbH

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POSTDOCTORAL POSITIONS, BROWN UNIVERSITY (TRUCCOLO LAB)
by Wilson Truccolo July 15, 2019

July 15, 2019

Applications for postdoctoral positions in Computational Neuroscience are invited for the laboratory of Dr. Wilson Truccolo in the Department of Neuroscience at Brown University, Providence, RI, USA. The positions are for the development of theoretical and data-driven stochastic models of neuronal network dynamics, including applications to propagation and control of epileptic seizures, and collective dynamics in neocortex. Neural data consist of recordings of ensembles of single-neurons and high-density local field potentials obtained via multiple intracortical microelectrode arrays implanted in human and non-human primates. The ideal candidate will have a strong background in computational/theoretical neuroscience and modeling of stochastic neural dynamics. Related publications can be found on the Truccolo lab website ( http://www.truccololab.com/) Inquiries should be addressed to Dr. Truccolo (wilson_truccolo(a)brown.edu) Applications including a CV, statement of research interests, and the names and full contact details of three referees should be sent to wilson_truccolo(a)brown.edu. -- Wilson Truccolo, Ph.D. Pablo J. Salame '88 Goldman Sachs Associate Professor of Computational Neuroscience Department of Neuroscience & Carney Institute for Brain Science, Brown University Lab website: http://www.truccololab.com/

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Code release: SpykeTorch
by MASQUELIER Timothee July 15, 2019

July 15, 2019

We are proud to release our SpykeTorch open source code! https://github.com/miladmozafari/SpykeTorch SpykeTorch is an efficient PyTorch-based simulator of convolutional spiking neural networks, in which the neurons emit at most one spike per stimulus, and use rank-order-coding. It currently supports the STDP and Reward-modulated STDP learning rules. It can reproduce various recent papers by us and others. A Jupyter tutorial is provided, and an extensive documentation can be found here: http://cnrl.ut.ac.ir/SpykeTorch/doc/ See also the SpykeTorch paper: https://www.frontiersin.org/articles/10.3389/fnins.2019.00625/ Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini and Timothée Masquelier

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Dual Award PhD (UH/WSU) in Neuromorphic olfaction
by Michael Schmuker July 11, 2019

July 11, 2019

An exceptional opportunity for a dual award PhD position in Neuromorphic olfaction is open for EU/UK candidates at the University of Hertfordshire, UK, that includes a year abroad at Western Sydney University, Australia. The successful candidate will obtain a PhD degree from both institutions. We offer an exciting 3-year project in Neuromorphic computing under joint supervision of Dr Michael Schmuker (UHERTS), and Dr André van Schaik (WSU). The first and third year of the programme will be spent in the Biocomputation research group at UH, with the second year spent at the International Centre for Neuromorphic Systems, led by André van Schaik (WSU). The successful candidate has the unique opportunity to join two vibrant and research-driven teams at opposite ends of the world and carry home two PhD awards. The position comes with a bursary of £15,009 per year. Airfare to and from WSU in Australia is covered, too. The PhD is due to start in October 2019. EU/UK candidates with an exceptional interest in at least one of Neuromorphic computing, Event-based data processing, and chemical sensing should get in touch informally with Dr. Michael Schmuker <mailto:m.schmuker@biomachinelearning.net> by email as soon as possible. Shortlisting will begin on 21st July 2019. How to apply Download the application form <https://www.herts.ac.uk/__data/assets/pdf_file/0010/31105/uh-application-fo…>, fill it out, save it to your disk, and return it to: Lynette Spelman and Emma Thorogood <mailto:doctoralcollegeadmissions@herts.ac.uk> Research Student Administrators University of Hertfordshire College Lane Hatfield, Herts AL10 9AB tel: +44 (0)1707 286083 — Dr Michael Schmuker AFHEA Reader in Data Science Biocomputation Group University of Hertfordshire https://biomachinelearning.net

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The Journal of Mathematical Neuroscience - recent articles
by Stephen Coombes July 11, 2019

July 11, 2019

The Journal of Mathematical Neuroscience publishes research articles on the mathematical modelling and analysis of all areas of neuroscience. The Impact Factor of the journal is 2.091 The current list of journal articles is available at http://www.mathematical-neuroscience.com/ : Drift–diffusion models for multiple-alternative forced-choice decision making Alex Roxin https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… A modified Hodgkin–Huxley model to show the effect of motor cortex stimulation on the trigeminal neuralgia network Mohammadreza Khodashenas, Golnaz Baghdadi and Farzad Towhidkhah https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Linking demyelination to compound action potential dispersion with a spike-diffuse-spike approach Richard Naud and André Longtin https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Efficient calculation of heterogeneous non-equilibrium statistics in coupled firing-rate models Cheng Ly, Woodrow L. Shew and Andrea K. Barreiro https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Special Issue from the 2017 International Conference on Mathematical Neuroscience Zachary P. Kilpatrick, Julijana Gjorgjieva and Robert Rosenbaum https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… All articles are Open Access. ------------------------------------------------------- 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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3-year Research Associate in ActiveAI - University of Sheffield, UK
by Michael Mangan July 11, 2019

July 11, 2019

Are you a talented and ambitious computer scientist, computational neuroscientist or machine learner? Are you looking for an opportunity to develop the next generation AI algorithms that are required to realise the third wave of AI? We have a rare opportunity for a Research Associate to work on this problem within the Dept of Computer Science at the University of Sheffield (a world top 100 university) and in collaboration with world-leading neuroscientists in Australia through the prestigious £1.2m EPSRC Centre to Centre project (ActiveAI: active learning and selective attention for rapid, robust and efficient AI). Your primary role will be to develop a new class of ActiveAI controllers for problems in which insects excel but deep learning methods struggle. These problems have one or more of the following characteristics: (i) learning must occur rapidly, (ii) learning samples are few or costly, (iii) computational resources are limited, and (iv) the learning problem changes over time. Insects deal with such complex tasks robustly despite limited computational power because learning is an active process emerging from the interaction of evolved brains, bodies and behaviours. Through a virtuous cycle of modelling and experiments, you will develop insect-inspired models, in which behavioural strategies and specialised sensors actively structure sensory input while selective attention drives learning to the most salient information, massively reducing the search space. In this way, we will both advance neuroscience and enable ActiveAI solutions which are efficient in learning and final network configuration, robust to real-world conditions and learn rapidly. You will work under the supervision of Dr Mike Mangan, and Professors Eleni Vasilaki and James Marshall, within the Department of Computer Science (top five in the UK in the most recent REF) in partnership with UK-based research collaborators in the £4.8m EPSRC Brains on Board Programme Grant. You will also lead a new collaboration with world-leading research partners in Australia (led by Prof Andrew Barron, Macquarie University) through extended secondments. You should be educated to PhD level (or be close to completion) in a related computational field (or equivalent industrial experience), with excellent skills in computational modelling, ideally the use of neural networks to either model biological systems or to solve complex tasks. Previous experience of GPU computing, embedding models onto robots, verification of models through neuroscientific or behavioural assays, are desirable although not essential, but candidates must have an aptitude for learning or improving these skills. The formal advert with application guidelines can be found here -> http://tiny.cc/gq268y -- Dr. Mike Mangan *Lecturer in Machine Learning & RoboticsSheffield Robotics & Dept of Computer ScienceUniversity of Sheffield* https://www.sheffield.ac.uk/dcs/people/academic/mmangan

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Bristol workshop 9-13 September 2019 - The Neuroscience Data Challenge
by Conor Houghton July 9, 2019

July 9, 2019

The Neuroscience Data Challenge is a collaborative workshop which will bring people together to apply modelling and data approaches to neuroscience. It will be a workshop and hackathon designed to give us the opportunity to work as colleagues to solve problems. The Neuroscience Data Challenge will be held in Bristol from 9-13 September 2019. All are welcome, there is no fee and there are some bursaries for students and postdocs. The format is based on the "study week" that is successful and popular in applied mathematics - there will be four neuroscience problems presented at the start of the week and we will self-organize around working on them together in groups. We are hoping for an informal, fun and productive week of collaborative research! For more information go to http://www.bristol.ac.uk/neural-dynamics/information/neuroscience-data-chal… All Welcome Conor on behalf of the organizing committee: Conor Houghton, Cian O'Donnell, Rui Ponte Costa, Amelia Burroughs. ________________________________________________________________________________ The Neuroscience Data Challenge is being supported by Reimagining Recruitment, a study funded by the EPSRC and hosted by Bath University, it aims to examine the success of collaborative workshops like this.

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Postdoc position in Computational Cognitive Neuroscience - TU Dresden
by Dimitrije Markovic July 9, 2019

July 9, 2019

Dear colleagues, We are looking for candidates for a four-year post-doctoral position in Computational Cognitive Neuroscience. The position is part of the newly established Transregio (TRR) 265 Funding Programme: "Losing and Regaining Control over Drug Intake: From Trajectories to Mechanisms to Interventions". The candidates should show strong interest in combining research in cognitive and computational neuroscience with research in clinical psychology and psychiatry. The position is an ideal opportunity to work in an interdisciplinary group of researchers, and contribute to projects investigating computational and neuronal underpinning of human behaviour. For further details and application instructions, please see https://www.uniklinikum-dresden.de/de/jobs-und-karriere/stellenangebote/wis… Note : the application deadline has been extended to 31 July 2019. Best wishes, Dimitrije Markovic ============================= Dr. Dimitrije Markovic Post-Doc at Technische Universität Dresden, Department of Psychology, Dresden, Germany Lab website: https://tu-dresden.de/mn/psychologie/ifap/ni Phone: +49-351-463-43146 Personal website: http://dimarkov.github.io/ =============================

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Post doc at the NYU ECoG Lab
by Lucia Melloni July 9, 2019

July 9, 2019

Are you looking for an ambiguous postdoc opportunitu? keep reading ... The NYU ECoG group has an exciting opportunity for a postdoctoral fellow to contribute to a project aimed at unravelling laminar cortical computations and validating laminar resolution functional magnetic resonance imaging (fMRI) in humans. Laminar fMRI is becoming increasingly popular as it enables the study of feedback and feedforward flow of information in the living human brain (e.g., Muckli, Current Biology 2015). Yet, the neurovascular and physiological computations underlying laminar signals are not well understood. Our group is part of an exciting international collaboration that aims to rigorously validate laminar fMRI against laminar electrophysiology and develop a proper neurovascular coupling model. The postdoctoral fellow would contribute to this team effort involving researchers at NYU Langone Health, the Center for Magnetic Resonance Imaging in Minessotta (Essa Yacoub), and Maastrich University (Elia Formisano, Federico de Martino, Kamil Uludag). The project is funded by a BRAIN initiative RO1 grant. The role of the postdoc is to perform laminar electrophysiology in human subjects with epilepsy and as well as to conduct laminar fMRI in the same patients. We are seeking an enthusiastic and ambitious postdoc, with a strong background in human and/or animal electrophysiology and a desire to learn high-field MRI. No previous experience with MRI is required. A strong background in signal processing, and strong quantitative skills (e.g., Matlab, C++, Python) are required. The initial post is for 1 year with the opportunity to renew for up to 4 years. Postdoctoral researchers will be given the opportunity to participate in other lab research endeavors, and they are expected to make a strong contribution to the lab's overall research efforts. The research facilities at NYU are exceptional and include laminar electrophysiology setups as well as 7T MRI. The postdoc will join a vibrant community of researchers within NYU (NYU ECog, NYU Neuroscience Institute, and the NYU Center for Neural Science) and across the consortium of investigators at University of Minnesota and University of Maastricht. This is an excellent post for candidates who want to expand their research repertoire and learn new techniques, and to position themselves uniquely in the scientific landscape, leveraging laminar fMRI in humans to understand cortical computations. The possibility of dual training in electrophysiology and fMRI is unique. Interested individuals should apply by sending a cover letter, a CV and names of 2 referees who have agreed to provide recommendation letters to Lucia Melloni (lucia.melloni(a)nyulangone.org <mailto:lucia.melloni@nyulangone.org>) and Sasha Devore (sasha.devore(a)nyulangone.edu <mailto:sasha.devore@nyulangone.edu>). The post will be open until August 15, 2019. For any inquires please contact Lucia Melloni at lucia.melloni(a)nyulangone.org <mailto:lucia.melloni@nyulangone.org>

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PhD Position / Computational Neuroscience / Bordeaux, France
by Nicolas Rougier July 5, 2019

July 5, 2019

---------------------------------------------------------------------- Position: Phd in Computational Neuroscience Keywords: Basal Ganglia, Frontal Cortex, Decision Making, Planning Duration: 3 years, starting 01/09/2019 Location: Bordeaux, France Net salary: 1680 euros / month Contact: Fréderic Alexandre & Nicolas Rougier ---------------------------------------------------------------------- Mnemosyne (https://team.inria.fr/mnemosyne/) is an Inria research team associated with Labri, Bordeaux's computer research laboratory, hosted at the Neurocampus in Bordeaux (https://www.bordeaux-neurocampus.fr/) We work closely with labs in Neurosciences and Medicine in order to understand executive functions such as decision, reasoning and planning, using computational models of the main structure involved (frontal cortex, basal ganglia and hippocampus). We are currently looking for a motivated doctoral student to join us on the theme of decision making modeling, considering in particular the integration of indices of a different nature. This work is part of a collaborative project with the city and the university of La Rochelle and the funding for the thesis is secured (salary of 1680 euros net per month). The candidate may come from different Masters (computer science, cognitive science, neuroscience) and must have experience in computational neuroscience and machine learning with an interest in a bio-inspired approach. In addition to the CV, a letter of motivation will be proposed before an interview. Application to be sent to Frederic.Alexandre(a)inria.fr and Nicolas.Rougier(a)inria.fr

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15th Granada Seminar on Stochastic and Collective Effects in Neural Systems
by Prof. Dr. Joaquín J. Torres July 4, 2019

July 4, 2019

Dear Computational Neuroscience community This is an official announcement of the next "15th Granada Seminar on Computational and Statistical Physics" that will be held in Granada Spain, next September 17-20, 2019 in the Science Faculty of the University of Granada, Spain. The Granada Seminar is a topical conference whose pedagogical power is especially channelled towards young researchers. In fact, one interesting aspect of this meeting is the opportunity given to young researchers to present their results and to discuss their problems with leading specialists. The Granada Seminar is Organized by the "Institute Carlos I for Theoretical and Computational Physics, University of Granada, and it is Sponsored by: - Institute Carlos I, for theoretical and computational physics, University of Granada: http://ic1.ugr.es/home/ - European Physical Society This year edition the main topic of the conference is "Stochastic and Collective Effects in Neural Systems" including Biological aspects, Modeling, Dynamics, Networks, Function and Applications. The aim of this meeting is to bring together scientists interested in Neural Systems and their statistical and collective effects from real experiments, theoretical and computational models to applications. Confirmed Main Speakers: Roberto Barrio, Universidad de Zaragoza (Spain): Insect movement gaits: neuron model, CPG and patterns Ginestra Bianconi, Queen Mary University of London (UK) Jesús Cortés, Ikerbasque (Spain) Lucilla de Arcangelis, University of Campania "Luigi Vanvitelli" (Italy) Jose Maria Delgado, Universidad Pablo de Olavide (Spain): Learning as a functional state of the brain Andrea Gabrielli, Istituto dei Sistemi Complessi (Italy): Brain Network Topology Maps Schizophrenia Dysfunctional Substrates Andre Longtin, University of Ottawa (Canada): Detecting and Learning in Noisy Neurons: From Dendrites to Spontaneous Movements Joaquin Marro, Universidad de Granada (Spain):Is the Mind just an assembly of Phase Transitions? Jorge F. Mejías, University of Amsterdam (The Netherlands) Cyriel Pennartz, University of Amsterdam (The Netherlands): Predictive representations and population coding in visual and multisensory systems Dietmar Plenz, NIH National Institute of Mental Health (USA) Ander Ramos, Tecnalia (Spain) Alex Roxin, CRM Barcelona (Spain):A network model of place-cell turnover in CA1 Mavi Sánchez-Vives, Institut d'investigacions Biomèdiques (Spain) Samir Suweis, Universita di Padova (Italy): Simple (but not too simple) models to investigate complex brain dynamics Yuhai Tu, IBM Thomas J. Watson Research Center (USA): Optimal coding strategies in the periferal olfactory systems: Compressed sensing for an array of nonlinear olfactory receptor neurons with and without spontaneous activity Pablo Varona, Universidad Autonoma de Madrid (Spain) People interested to attend the conference and present their contributions please follow the link below for further information: http://ergodic.ugr.es/cp/index.php Contributions to the conference will be invited to submit an original manuscript for a forthcomming "Special Issue on Emergent Effects in Stochastic Neural Networks with Application to Learning and Information Processing", in the Elsevier Journal Neurocomputing (Impact Factor: 4.072, Q1) -- Prof. Dr. Joaquín J. Torres Department of Electromagnetism and Physics of the Matter. Institute "Carlos I" for Theoretical and Computational Physics. University of Granada.

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DEADLINE NEAR: IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO in CAPE TOWN
by Tim Vogels July 4, 2019

July 4, 2019

Dear all, The DEADLINE for next year’s IMBIZO is approaching very quickly, with only 4 days left. Don’t let this opportunity slip by, if you are hoping to join the most diverse neuroscience summer school at the most beautiful beach in the world! We are very excited to announce that we have three new faculty this year, adding Prof. Eve Marder, of Brandeis University, Gruber and Kavli Prize winner, past president of SfN and generally awesome person in Neuroscience, coming with Prof Arthur Wingfield, also of Brandeis and also awesome person in neuroscience. And Prof. Henning Sprekeler, Technical University Berlin, Bernstein Award winner, and ALSO generally awesome person in neuroscience to our already great roster of lecturers. If you know anyone who would benefit from a diverse and extraordinary computational neuroscience summer school, please forward this information: IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO #isiCNI2020 5 - 26 January 2020, Muizenberg Beach, Cape Town, South Africa http://imbizo.africa/ <http://imbizo.africa/> Application deadline: 8th July 2019 The #isiCNI2020 is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together international and local students under the tutelage of the world's leading experts in the field. Like its international sister courses, this three-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of experimental and computational neuroscience. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modelling of neurons, neural systems, behaviour, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. Who should apply? This course is aimed at Masters and early-PhD level students though Honours or advanced undergraduates may also apply. Postdoctoral students who can motivate why the course would benefit them are also encouraged to apply, Students should have sufficient quantitative skills, (e.g. a background in mathematics, physics, computer science, statistics, engineering or related field). Some knowledge of neural biology will be useful but not essential. Experimental neuroscience students are encouraged to apply, but should ensure that they have a reasonable level of quantitative proficiency (i.e. at least second-year level mathematics or statistics and have done at least one course in computer programming). Please distribute this information as widely as you can. Essential details * Fee (which covers tuition, lodging, and meals): 1100 EUR Thanks to out generous sponsors, significant financial assistance is available to reduce and waiver fees for students, particlualry for African applicants. We also hope to provide some travel bursaries for interrnational students. If you are in need of financial assistance to attend the Imbizo, please state so clearly in the relevant section of your application. * Application deadline: 30th June 2019 * Notification of results: late August 2019 Information and application https://imbizo.africa/ <http://isicni.gatsby.ucl.ac.uk/> Questions? isicn.imbizo(a)gmail.com <mailto:isicn.imbizo@gmail.com> What is an Imbizo? \ɪmˈbiːzɒ\ | Xhosa - Zulu A gathering of the people to share knowledge. CONFIRMED FACULTY Demba Ba - Harvard University Adrienne Fairhall - Washington University Peter Latham - University College London Timothy Lillicrap - Google DeepMind Eve Marder - Brandeis University Joseph Raimondo - University of Cape Town Srikanth Ramaswamy - EPFL Lausanne Athanassia Papoutsi - IMBB-FORTH Evan Schaffer - Columbia University Anna Schapiro - University of Pennsylvania Henning Sprekeler - Technical University of Berlin Thomas Tagoe - University of Ghana Misha Tsodyks - Weiszmann Institute of Science Tim Vogels - University of Oxford Arthur Wingfield - Brandeis University Byron Yu - Carnegie Mellon University Tutors Everton Agnes University of Oxford Annik Carson - McGill University Chris Currin - University of Cape Town Callie Federer - University of Colorado Grace Lindsay - University College London Richard Pang - University of Washington Organisers Christopher Currin (University of Cape Town, South Africa) Emma Vaughan (Conference Managemant Centre) DIRECTORS Peter Latham (Gatsby Unit for Computational Neuroscience, UCL, UK) Joseph Raimondo (University of Cape Town, South Africa) Tim Vogels (University of Oxford, UK) Sponsors The isiCNI is made possible by the generous support from the Simons Foundation (https://www.simonsfoundation.org <https://www.simonsfoundation.org/>) and the International Brain Research Organisation (IBRO) (http://ibro.info <http://ibro.info/>) Organizational Affiliates University of Cape Town, University College London, University of Oxford, TReND in Africa <http://trendinafrica.org/>, CNCB <http://www.cncb.ox.ac.uk/>, Gatsby Foundation <http://www.gatsby.org.uk/>, IBRO African Center for Advanced Training in Neurosciences at UCT

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Available Slot for Intensive Talks at CNS 2019 Workshop (W9) on "Neural Multiplexed Coding, Coexistence of Multimodal Coding Strategies in Neural Systems"
by Milad Lankarany July 3, 2019

July 3, 2019

Dear CNS-2019 attendees, Our workshop (*W9*) on "*Neural Multiplexed Coding*" will be held at CNS 2019 (Barcelona), on July 17th. Our workshop hosts 6 prestigious speakers (see our website: https://sites.google.com/view/cns-workshop-on-neural-mux/home) presenting their recent researches in 30-45 minutes, as well as a few number of intensive talks, each lasting 10-15 minutes. This is a new schedule for our workshop that we want to try, i.e., a workshop comprising larger talks (30-45 mins) + short intensive talks (10-15 mins). As the intensive talks are short, we would like to invite more speakers. So, any scientist (preference is given to Postdoc) that participates in CNS 2019 and is interested in our workshop can send me his/her request and the title of the presentation. Email: milad.lankarany(a)uhnresearch.ca or milad.lankarany(a)gmail.com Best Regards, Milad Lankarany, Ph.D. <https://sites.google.com/view/lnsbsp/home?authuser=0>

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Two Postdoctoral Positions in Auditory Biophysics: Optics & Theory
by Kozlov, Andriy July 3, 2019

July 3, 2019

We welcome applications for postdoctoral candidates with expertise in optics, instrument development, or theoretical modelling who want to apply their skills in the field of the biophysics of hearing. Two positions in Dr. Andrei Kozlov’s lab (www.kozlovlab.com<http://www.kozlovlab.com/>) in the Department of Bioengineering, Imperial College London are supported by a five-year Wellcome Trust Investigator Award: one experimental and one theoretical. We investigate mechano-electrical transduction by hair cells, the receptor cells of the inner ear. These cells can detect and amplify atomic-scale vibrations at thousands of cycles per second. We are interested in understanding the mechanisms underlying this extreme sensitivity. To achieve our goal, we combine novel experimental and theoretical approaches. The experimental position will focus on developing new optical methods, including laser interferometry, and combining them with electrophysiology. Practical knowledge of optics or optomechanics is essential for this work. For more information about this kind of research, see Kozlov et al., Nature, 2011. The theoretical position focuses on modelling mechano-electrical transduction, combining analytical and numerical techniques, and is in collaboration with Dr. Thomas Risler at Institut Curie in Paris. The successful candidate for this role will have a strong background and track record in Theoretical Soft Matter, Statistical Physics or a related discipline. For more information about this kind of research, see Gianoli, Risler and Kozlov, PNAS, 2017. The positions will start between September 2019 and January 2020. Please send the names of three references, a CV with a list of publications and preprints, and an application letter describing your interests and skills. Informal inquiries are welcome. Contact: Andrei Kozlov a.kozlov(a)imperial.ac.uk<mailto:a.kozlov@imperial.ac.uk>

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PhD Position in Data Science and Modeling in Neuroimaging at Jülich Research Centre (Germany)
by Oleksandr Popovych July 3, 2019

July 3, 2019

PhD Position in Data Science and Modeling in Neuroimaging at Jülich Research Centre and University of Düsseldorf, Germany One PhD position is available in data science and computational modeling with a focus on the data-driven analysis of neuroimaging data in the lab of Prof. Dr. Simon Eickhoff at Jülich Research Centre and University of Düsseldorf in Germany. The PhD candidate will work on projects aiming to study the effective connectivity of functional brain networks derived from task-based and resting-state fMRI data. In particular, applicability, reliability and limitations of the Dynamical Causal Modeling (DCM) approach will be investigated in various large samples of healthy subjects and patients and compared to other approaches. We are specifically looking for candidates with training in data science/computational neuroscience/applied mathematics/physics or related fields and skills in programming and big data analysis. The candidate will be responsible for the preparation and preprocessing of the necessary fMRI data, development and implementation of data analysis pipelines, as well as writing manuscripts for publication. The position provides a unique opportunity to work in an interdisciplinary environment and training in processing, analysis and modeling of neuroimaging data. More details on the lab: http://www.fz-juelich.de/inm/inm-7/EN/ Requirements: Master’s degree in Applied Mathematics, Physics, Engineering, Computer Science or related fields. Experience with neuroimaging data processing and analysis and related software packages (FSL, SPM, MRtrix, etc.). Experience with programming languages such as Matlab/Python/Shell scripts/C/C++. Familiarity with mathematical data modeling, parallel programming and simulations on high-performance computational clusters will be a plus. Strong English-language writing & communication skills. To apply: Please send your CV, MA certificate, names of two referees, a one-page letter of motivation (emphasizing any related work/projects), up to 3 representative publications and/or examples of program code, if available, to Dr. Oleksandr Popovych via email (o.popovych(a)fz-juelich.de) Please mention “PhD application DCM” in the subject. -- --------------------------------------- PD Dr. Oleksandr Popovych Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour) Research Centre Jülich 52425 Jülich, Germany Tel: +49 2461 61 3332 eMail: o.popovych(a)fz-juelich.de http://www.fz-juelich.de/inm/inm-7/EN/Home/home_node.html ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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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PhD Position in Computational Neuroscience and Neuroimaging at Jülich Research Centre (Germany)
by Oleksandr Popovych July 3, 2019

July 3, 2019

PhD Position in Computational Neuroscience and Neuroimaging at Jülich Research Centre and University of Düsseldorf, Germany One PhD position is available in computational neuroscience with a focus on mathematical modeling of brain dynamics based on neuroimaging data in the lab of Prof. Dr. Simon Eickhoff at Jülich Research Centre and University of Düsseldorf in Germany. The PhD candidate will work on projects involving large-scale dynamical brain models derived from multimodal neuroimaging data (structural, functional & diffusion magnetic resonance imaging, MRI) combined with numerical simulations and analysis of model dynamics and parameter space. We are specifically looking for candidates with training in applied mathematics/computational neuroscience or related fields and experience in programming and numerical simulation of neuronal models/nonlinear dynamical systems. The candidate will be responsible for preparation of necessary neuroimaging data, derivation, validation and analytical and numerical investigation of the whole-brain dynamical models, and writing manuscripts for publication. The position provides an opportunity to work in an interdisciplinary environment and training in mathematical modeling of neuroimaging data and methods for data analysis. More details on the lab: http://www.fz-juelich.de/inm/inm-7/EN/ Requirements: Master’s degree (or equivalent) in Applied Mathematics, Physics, Engineering, Computer Science or a related field. Experience with programming languages such as C/C++/CUDA/Python/Matlab/R. Familiarity with numerical simulations of nonlinear dynamical systems/differential equations/neuronal models. Experience with parallel programming and simulations on high-performance computational clusters will be a plus. Experience with neuroimaging data processing and analysis and related software packages (FSL, SPM, MRtrix, etc.) will be of advantage. Strong English-language writing & communication skills. To apply: Please send your CV, names of two referees, one-page letter of motivation (emphasizing any related work/projects), up to 3 representative publications and/or examples of program code, if available, to Dr. Oleksandr Popovych via email (o.popovych(a)fz-juelich.de) Please mention “PhD application CNS” in the subject. -- --------------------------------------- PD Dr. Oleksandr Popovych Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour) Research Centre Jülich 52425 Jülich, Germany Tel: +49 2461 61 3332 eMail: o.popovych(a)fz-juelich.de http://www.fz-juelich.de/inm/inm-7/EN/Home/home_node.html ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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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Open Source Brain workshop 9-11 Sept 2019 & new publication
by Gleeson, Padraig July 2, 2019

July 2, 2019

[Apologies if you receive multiple copies of this due to cross-posting] The 2019 Open Source Brain workshop will be held in Alghero, Sardinia on 9-11th September 2019. Full details: http://www.opensourcebrain.org/docs/Help/Meetings#OSB_2019 Open Source Brain (http://www.opensourcebrain.org) is a platform for sharing and collaboratively developing models in computational neuroscience. Models of cells and circuits in standardised formats can be visualised, analysed and simulated through a standard web browser. A key driver for the development of this technology is to improve accessibility, scientific scrutiny, reproducibility and reuse of models of brain function. The platform is described in a recent paper in Neuron: https://www.cell.com/neuron/fulltext/S0896-6273(19)30444-1 The 2019 OSB Workshop will highlight the latest features of OSB and engage current and future users of the platform through invited talks, posters, hands on demonstrations, and user presentations. Since we are substantially expanding the functionality of Open Source Brain to enable sharing of standardized experimental data used to build and test the models of neurons and circuits, this year’s meeting will have two key themes: 1) Accessible sharing of cellular neuroscience data Through support for the Neurodata Without Borders (NWB) format, OSB will facilitate sharing of multiple types of experimental data used to constrain computational models, including electrophysiological recordings, Ca2+ fluorescence imaging, 2D, 3D and 4D imaging and behavioural data. Challenges, requirements and solutions to data standardization will be discussed. 2) Modelling cortical structures across scales Cortical networks are modelled at many scales from abstract representations of interacting populations (neural masses) to networks of biophysically and morphologically detailed cell models. NeuroML is being expanded to cover a greater range of these models, which will allow them to be shared and simulated on OSB, facilitating comparison of models and ideas between researchers. This ongoing work is taking place as part of the SIG on Standardised Representations of Network Structures<https://www.incf.org/activities/standards-and-best-practices/incf-special-i…>. Registration The registration fee for the meeting for 3 days will be £130. This will help cover organisation and speaker costs, meeting room hire, lunch, tea and coffee for 3 days and one workshop dinner. Please register here<https://onlinestore.ucl.ac.uk/conferences-and-events/faculty-of-life-scienc…>. Registration closes on 1st September 2019. Confirmed speakers Yazan Billeh (Allen Institute, USA) Matteo Cantarelli (MetaCell Ltd) Alex Cayco Gajic (UCL, UK & École Normale Supérieure, France) Sharon Crook (Arizona State University, USA) Jeffrey S. Diamond (NINDS, USA) Matt Earnshaw (University College London, UK) Jan Fousek (Aix Marseille Université, France) Padraig Gleeson (University College London, UK) Boris Marin (Universidade Federal do ABC, Brazil) Diego Restrepo (University of Colorado, USA) Simon Schultz (Imperial College, UK) Angus Silver (University College London, UK) Sacha van Albada (Jülich Research Centre, Germany) For more details please see: http://www.opensourcebrain.org/docs/Help/Meetings#OSB_2019 The OSB 2019 organising committee Padraig Gleeson Matt Earnshaw Angus Silver

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Academic Fellowship positions Computational Neuroscience, Nottingham
by Mark van Rossum June 30, 2019

June 30, 2019

The University of Nottingham is a research intensive university ranked in the top 10 in the UK and in the top 30 of Europe. It has a strong tradition in Cognition, Perception, Mathematical Biology, and structural and functional Imaging research. To support further development across these areas, and stimulate new research opportunities, the University has recently made a major investment in Computational Neuroscience. As part of this investment we are inviting applications for two independent fellowships. The positions are for 3 years, after which the fellows are expected to be competitive candidates for permanent positions at the University. The positions are ideal for researchers with a strong vision that are planning to develop their own research group in a supportive, interdisciplinary environment with outstanding research facilities. We are interested in candidates working across a broad spectrum of research topics areas in Computational Neuroscience, including functional neuroimaging, neural networks, and models of cognition. Research methodologies could include numerical simulation, machine learning, theoretical neuroscience, and innovative data analysis. The Fellows will be based in the School of Psychology and/or Mathematical Sciences. For more info and the online application form see http://jobs.nottingham.ac.uk/SCI215819 For informal inquiries contact Mark van Rossum, mark.vanrossum(a)nottingham.ac.uk, +44-115-7486851 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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【2019ICCBC】International Collegiate Competition for Brain-inspired Computing
by 郑浩 June 30, 2019

June 30, 2019

Dear Collegiates, International Collegiate Competition for Brain-inspired Computing [2019 ICCBC] is an annual academic activity hosted by Tsinghua University to provide a platform for international communication and collaboration on issues of integrating neuroscience and computer science to build intelligent machines and solve real-world issues. This contest is organized by the center for brain-inspired computing research [CBICR] at Tsinghua University. We look forward to talents who have insights into these issues. Final will be held in Oct in Tsinghua University. Prize is BIG! Airfare can be partly covered for finalists! More information can be found bellow and on official website: https://contest.cbicr.org/en/ ICCBC 2019 International Collegiate Competition for Brain-inspired Computing What is contest about？ How computation emerges from the human brain is a fundamental and unsolved mystery for general intelligence and behavior. The combination of neuroscience and computer science is considered as the most promising approach to the development of artificial general intelligence (AGI) - one of the most exciting blueprints of this century. How the computational principles in the brain promote artificial intelligence strategies and how to implement silicon-based brain-inspired systems are the key research topics in brain-inspired computing. In this annual contest, we gather global talents who have unique insights into these issues, or who have creative ideas on applications to solve real-world problems. This contest provides a unique platform for the participants to share their knowledge, discuss the state-of-the-art and examine the future challenges of brain-inspired computing. In addition, participants have the opportunity to win decent prizes. What is the expectation? In this year’s contest, we generalize brain-inspired computing to a broader extent, reflecting the integration of neuroscience and computer science on issues related to general intelligence. Themes include Perception, Cognition, Computation and Decision making. Embodiment can be theories, algorithms, hardware, software, application, etc. Two special topics are setup this year. The Education topic aims to promote a better education system based on our knowledge of brain development and AI strategies. The “Hybrid topic” aims to inspire ideas on hybrid computing models. Since heterogeneity is a common feature of neural system, it is of great importance to intelligent behavior but its implementation is not trivial. Hybrid models that integrate AI and spiking neurons are possible approaches. For more details, please go to https://contest.cbicr.org/en/ Organization and partner Host: Tsinghua University Organizer: Office of Scientific R&D, Tsinghua University Center for Brain-Inspired Computing Research Co-organizers: Tsinghua Holdings, Co., Ltd CETHIK Group Corporation Lynxi Technologies Co., Ltd. Awards | Total award amount | RMB 1,000,000 | | Grand prize | RMB 300,000 for one team | | First prize | RMB 100,000 for two teams | | Second prize | RMB 60,000 for three teams | | Third prize | RMB 30,000 for four teams | | Excellence prize | RMB 20,000 for six teams | | Second prize for the preliminary round | RMB 5,000 for 16 teams | Evaluation In accordance with the principles of fairness, impartiality, and openness, all entries will be evaluated based on the following criteria and weightings: Novelty (25%) Technical advancement and difficulty (20%) Completeness and reproducibility (20%) Live presentation and demonstration (15%) Application value and significance (10%) Formality of document reporting (10%) Time Table | Events | Deadline | Comments | | Online application | 28 July 2019 | Login to the official website https://contest.cbicr.org/ and fill in the registration information. | | Entry submission | 15 Sept. 2019 | Document requirements: slide presentation, technical documentation, source code, videos, application executables, etc. | | Finals | 19-20 October 2019 | 16 teams will advance to the finals. Invited Talks and Poster Session on first day Slide Presentation and Awarding on second day | Past review The contest has cumulatively received applications of 444 teams from 131 different universities. The entries covered a large range of aspects including algorithm, software and hardware. In 2018, the team from the Institute of Automation, Chinese Academy of Sciences won the special award and was awarded 300 thousand RMB in cash. For more details, please refer to the official web “Past review”: https://contest.cbicr.org/en/index.php?id=27 Contact Official website: https://contest.cbicr.org/en/ for more details Tel: (+86) 010-62787245 Email: contest(a)cbicr.org Info about Organizer The Center for Brain Inspired Computing Research (CBICR) was established in September 2014 at Tsinghua University. It is the first research center in China to advance brain-inspired intelligence, covering neural functional, computing theory, neural coding, machine learning algorithms, operational systems, programming software, system integration, architecture design, chip processing, material science and nanotechnology. The center consists of 35 affiliated faculties from seven departments at Tsinghua University, including neuroscience science, electronic engineering, microelectronics, computer science, automation, material science and precision instrument, with the goal of innovations on interdisciplinary research. The center focuses on the development of brain-inspired computing by integrating neuroscience and computer science. -- ICCBC Team

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[DEADLINE EXTENSION]: 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 June 30, 2019

June 30, 2019

Dear Colleagues,The submission deadline for MLCN 2019 workshop as a satellite event of the MICCAI 2019 conference has been extended to 14/07/2019. For more information, please visit https://mlcnws.com/call-for-papers/ . 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 14, 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/ twitter: @MLCNworkshop <https://twitter.com/MLCNworkshop>

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Neuronal Oscillations Workshop at CNS-2019 - July 17, 2019 - Barcelona + Data Blitz
by Horacio G. Rotstein June 29, 2019

June 29, 2019

Dear All, We would like to call your attention to the CNS-2019 ( https://www.cnsorg.org/cns-2019) workshop on "Neuronal Oscillations: mechanisms, computational properties, and functionality" on July 17, 2019. Please check the information here <http://www.vassiliscutsuridis.org/workshops/CNS2019/CNS2019web.htm> http://www.vassiliscutsuridis.org/workshops/CNS2019/CNS2019web.htm The CNS workshops originated as a spontaneous gathering of CNS participants interested in discussing a specific topic. In order to revive this tradition and give the opportunity to the community to interact, this year we are including a *data blitz* session. CNS participants interested in briefly presenting their work are encouraged to do so. It will be helpful if you contact us in advance to be able to plan. Looking forward to seeing you in Barcelona Horacio -- Horacio, NY/NJ area. Horacio G. Rotstein, PhD (he/him/his) Professor Mathematical Biology & Computational Neuroscience BioDatanamics Lab Federated Department of Biological Sciences Rutgers University / New Jersey Institute of Technology Newark, NJ, 07102, USA. Graduate Faculty Behavioral Neurosciences Program Rutgers University (NWK) tel: (1-973) 596-8460 e-mail: horacio(a)njit.edu horacior(a)andromeda.rutgers.edu <horacio(a)njit.edu> http://web.njit.edu/~horacio

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Fw: Research Associate Position in Early detection of Alzheimer's
by Dr. Krishna Miyapuram June 28, 2019

June 28, 2019

Applications are invited from interested and motivated candidates for the post of Research Associate in a time-bound research project funded by India-Trento Programme for Advanced Research for a temporary period purely on contractual basis. Principal Investigator Dr. Krishna Prasad Miyapuram. Project Title Early detection of Alzheimer’s using Individualized Brain Atlases and Machine Learning. Name of the Post Research Associate. Salary Rs. 36000/- + HRA (subject to revision as per DST norms). Essential Qualification PhD in Psychology, Cognitive Science, Neuroscience, Computer Science, Electrical Engineering, Biomedical Engineering, or any other related field. Desirable Qualification Previous knowledge of structural and functional MRI, Brain Imaging Techniques, Programming experience in Matlab, Brain connectivity Analysis, Familiarity with Machine Learning techniques. Tenure The appointment will be for One Year duration. How to Apply Interested candidates should apply by sending a CV by e-mail to the PI Dr Krishna Prasad Miyapuram Assistant Professor (HSS & CSE) Indian Institute of Technology – Gandhinagar (email: kprasad(a)iitgn.ac.in) preferably before July 5th, 2019. The applications will remain open until the Position is filled. Selection will be based on the interview (by telephone for outstation candidates). Shortlisted candidates will be intimated well in advance the date and time of the interview. Contact E-mail: kprasad(a)iitgn.ac.in.

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Two related articles on Efficient Coding in the Brain
by Jeff Krichmar June 28, 2019

June 28, 2019

Dear Colleagues, I don’t usually like to post papers to these lists. But, I thought it was more than just a coincidence that two papers from our group on how the brain efficiently represents information came out today. Hope you enjoy. Feedback is most welcome. "Neural correlates of sparse coding and dimensionality reduction” M Beyeler, EL Rounds, KD Carlson, N Dutt, and JL Krichmar PLoS Computational Biology https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006… "Making BREAD: Biomimetic Strategies for Artificial Intelligence Now and in the Future” JL Krichmar, W Severa, MS Khan, JL Olds Frontiers in Neuroscience - Neuromorphic Engineering Section https://www.frontiersin.org/articles/10.3389/fnins.2019.00666/full Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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Modeller's Workshop for the Brain Dynamics Toolbox, 1-19 July 2019.
by Stewart Heitmann June 27, 2019

June 27, 2019

Modeller’s Workshop for the Brain Dynamics Toolbox Online Course July 1-19, 2019 The Brain Dynamics Toolbox is an open toolbox for simulating dynamical systems in neuroscience. This on-line course is for researchers, students and instructors 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. https://bdtoolbox.org/p/modellers-workshop/ Important Dates Early-bird enrolments ($100) close Friday 7th July, 2019. Late enrolments ($150) close Friday 19th July, 2019. Lifetime Access This is a self-paced on-line course. After enrolling, students have unlimited lifetime access to the course materials. Stewart Heitmann | Computational Scientist Victor Chang Cardiac Research Institute | Lowy Packer Building | 405 Liverpool St, Darlinghurst NSW 2010 Australia E: s.heitmann(a)victorchang.edu.au | @VictorChangInst ______________________________________________________________________ The Victor Chang Cardiac Research Institute's Email is scanned by the MessageLabs Email Security System.

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Postdoctoral position at the University of Pittsburgh
by Anna Manelis June 27, 2019

June 27, 2019

*Postdoctoral Position opening at the University of Pittsburgh in neuroimaging of mood disorders* Candidates are being considered for a post-doctoral associate position in the Anticipation, Cognition and Emotion lab ( www.ace.pitt.edu ) at the University of Pittsburgh (http://www.pitt.edu) to work with Dr. Anna Manelis and her team. A successful candidate will work on the NIMH funded research project that uses multimodal neuroimaging (fMRI, MRI, DTI and fNIRS) to understand the contribution of anticipatory processing to cognitive and emotional dysfunction in individuals with mood disorders. Pittsburgh is a vibrant community which promotes diversity and collaboration within its university and medical systems. Our lab works in conjunction with the University of Pittsburgh Medical Center to perform neuroimaging studies which will help us to better understand mood disorders, including major depressive disorder and bipolar disorders. *Required Qualification*s: we are seeking a highly motivated candidate with a PhD degree (or anticipated PhD degree) in psychology, cognitive neuroscience, computational neuroscience or a related discipline. A strong research background in the analysis and interpretation of neuroimaging data is required. A successful candidate will have excellent writing and communication skills. Candidates with a strong computational background are encouraged to apply. Experience with FSL, Freesurfer and E-prime is preferred. The ability to program in Shell, Matlab, Python and/or R is preferred. Experience with fNIRS, graph modeling and pattern classification analyses is a plus. While prior experience with clinical populations is not necessary, we expect candidates to be interested in neuroimaging research of working and episodic memory and/or anticipatory and emotional processing in individuals with mood disorders. *Responsibilities*: · Help to run fMRI/fNIRS experiments · Analyze fMRI, MRI, DTI and fNIRS neuroimaging data · Write manuscripts · Present findings from studies at conferences This is a full-time position that can be extended to 3 years. We are looking for someone to join our lab in Fall 2019 (with some flexibility). This position is funded by the NIMH and salary will vary based on experience. If you are interested in this position, please send a CV, research statement, preprints/reprints of papers, and the names and contact information for two references to *Anna Manelis (manelisa(a)upmc.edu <manelisa(a)upmc.edu>).*

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Paper: Forward propagation closed loop learning
by Bernd Porr June 27, 2019

June 27, 2019

Dear all, we have a new paper out where we have propagated errors forwards (and not backwards): "For an autonomous agent, the inputs are the sensory data that inform the agent of the state of the world, and the outputs are their actions, which act on the world and consequently produce new sensory inputs. The agent only knows of its own actions via their effect on future inputs; therefore desired states, and error signals, are most naturally defined in terms of the inputs. Most machine learning algorithms, however, operate in terms of desired outputs. For example, backpropagation takes target output values and propagates the corresponding error backwards through the network in order to change the weights. In closed loop settings, it is far more obvious how to define desired sensory inputs than desired actions, however. To train a deep network using errors defined in the input space would call for an algorithm that can propagate those errors forwards through the network, from input layer to output layer, in much the same way that activations are propagated. In this article, we present a novel learning algorithm which performs such ‘forward-propagation’ of errors. We demonstrate its performance, first in a simple line follower and then in a 1st person shooter game." https://journals.sagepub.com/doi/10.1177/1059712319851070 The PDF of the accepted submission version can be found on my personal homepage: https://www.berndporr.me.uk/Porr_Miller_FCL_2019_Adaptive_Behaviour.pdf https://www.berndporr.me.uk/publications.php The code is available here: https://github.com/glasgowneuro/feedforward_closedloop_learning A video clip of the learning behaviour of a simple FPS agent is here: https://www.youtube.com/watch?v=QLVDBdlAQLY Best, /Bernd Porr & Paul Miller -- www: http://www.tinnitustailor.tech http://www.attys.tech http://www.glasgowneuro.tech http://www.berndporr.me.uk Mobile: +44 (0)7840 340069

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LAST DAYS to register to the Summer School in Computational and Theoretical Models in Neuroscience, Venice, Italy
by suweis infn June 26, 2019

June 26, 2019

ConTaMiNEURO 2019 Summer school ,Venice, Italy (September 9th - September 14th, 2019) - LAST DAYS TO REGISTER 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/> 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. FEW PLACES STILL AVAILABLE 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 under close supervision of 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 Ca Bottacin 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/> 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 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 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Ass. Prof. Samir Suweis Physics Dept., University of Padova www.liphlab.com @SamirSuweis Tel: +39 049 827 71 74

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The 3rd International Neural Dynamics Summer School 2019
by Conor Houghton June 26, 2019

June 26, 2019

We are offering twelve fully funded positions on the Wellcome Trust sponsored summer school for training and research experience in neural dynamics (TRENDs). This is an opportunity for undergraduate and Masters students to experience experimental and computational neuroscience research. More info can be found here: http://www.bristol.ac.uk/neural-dynamics/information/trends/ 04/09/2019 – 06/09/2019 Bristol University, UK The training and research in neural dynamics summer school is an exciting Wellcome Trust funded course held at the University of Bristol. The aim is to introduce young scientists to experimental and computational techniques used in neuroscience research. The summer school will be a three-day course made up of a series of seminars and lab visits where successful candidates will get first hand experience of electrophysiological recordings (both in vitro and in vivo), EEG recordings, brain imaging, optogenetics, data analysis workshops and practical classes on learning to code in Python. No prior experience is necessary, but a keen interest is essential! We welcome applications from science undergraduates from a wide range of backgrounds (Physics, Engineering, Maths, Computer Science, Neuroscience, Psychology etc.). For successful applicants all costs to attend the course, including travel expenses within the UK, accommodation and food will be covered. Overseas travel expenses will be considered on a case by case basis. Deadline 3 July, 2019 All the best Conor

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3 year postdoc position available
by Dietmar Heinke June 25, 2019

June 25, 2019

The Computational Psychology Lab (https://comp-psych.bham.ac.uk/ ) seeks to recruit a full-time postdoctoral-level Research Fellow for a research project titled "Integrating vision and action through selection history". It is funded by two bodies, UK Research and Innovation (ESRC) and US-funding agency NSF (National Science Foundation). The US collaborator is Professor Joo-Hyun Song, Brown University https://www.brown.edu/academics/cognitive-linguistic-psychological-sciences… The project aims at advancing our understanding of how humans execute visually-guided reaching in multi-object environments. It takes a highly interdisciplinary approach by combining computational modelling and empirical work. The research will be based on earlier work published here: Strauss, S., Woodgate, P.J.W., Sami, S. A., & Heinke, D. (2015) Choice reaching with a LEGO arm robot (CoRLEGO): The motor system guides visual attention to movement-relevant information. Neural Networks, 72, 3-12. http://dx.doi.org/10.1016/j.neunet.2015.10.005<http://dx.doi.org/10.1016/j.neunet.2015.10.005> Informal enquiries should be directed to Dietmar Heinke at D.G.HEINKE(a)bham.ac.uk Closing date: 24 July 2019 An on-line application can be submitted at the bottom of this page: https://bham.taleo.net/careersection/external/jobdetail.ftl?job=19000076&tz… Main Duties/Responsibilities * Undertake work within the specified research grant (ES/T002409/1): * Extend CoRLEGO to model data collected by Professor Joo-Hyun Song * Compare models using Bayesian methods * Conduct behavioural experiments under guidance of Professor Joo-Hyun Song * Disseminate research findings for publication, research seminars, etc. * Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline * Contribute to knowledge transfer in computational modelling and related areas that is of benefit to the College and the University, often under supervision of the Principle investigator * Contribute to public engagement activities * Contribute to generating funding and writing bids Person Specification Skills and Knowledge: * Programming skills (preferably in MatLab), mathematical skills Experience in at least three of the following fields: * Robotics, computer vision, computational modelling, behavioural science (human vision or/and movement control), Bayesian statistics, Markov Chain Monte Carlo (MCMC) methods, Dynamic neural fields Generic skills: * Ability to communicate complex information clearly * Ability to work in an interdisciplinary project * Understanding of and ability to contribute to broader management/administration processes Qualifications * PhD preferably in electrical engineering, computer science, physics or mathematics

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WCCI2020 Glasgow, Scotland - Call for papers
by Stefan Wermter June 25, 2019

June 25, 2019

*IEEE World Congress on Computational Intelligence* WCCI2020 Facebook <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.facebook.com_wcci2…> WCCI2020 Twitter <https://urldefense.proofpoint.com/v2/url?u=https-3A__twitter.com_wcci2020&d…> 19-24 July 2020, Scottish Event Campus <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.sec.co.uk_&d=DwMFa…>, Glasgow. wcci2020.org <https://urldefense.proofpoint.com/v2/url?u=https-3A__wcci2020.org_&d=DwMFaQ…> On behalf of the WCCI Organizing Committee <https://urldefense.proofpoint.com/v2/url?u=https-3A__wcci2020.org_-3Fpage-5…>, it is our great pleasure to invite you to the IEEE World Congress on Computational Intelligence. The 2020 IEEE World Congress on Computational Intelligence (IEEE WCCI 2020) is the world's largest technical event in the field of computational intelligence. IEEE WCCI 2020 will host three flagship conferences under one roof : * IJCNN - International Joint Conference on Neural Networks (cooperation between IEEE-CIS & INNS) * FUZZ-IEEE - IEEE International Conference on Fuzzy Systems * IEEE-CEC - IEEE Congress on Evolutionary Computation This encourages cross-fertilisation of ideas among the three big areas and provides a forum for intellectuals from all over the world to discuss and present their research findings on computational intelligence. *Important deadlines: <https://urldefense.proofpoint.com/v2/url?u=https-3A__wcci2020.org_&d=DwMFaQ…>* 15Nov2019 Special Session & Workshop Proposals 15Dec2019 Competition & Tutorial Proposals 15Jan2020 Paper submission 15Mar2020 Paper Acceptance Notification 15Apr2020 Final paper submission & Early registration 19-24Jul2020 Conference Dates ------------------------------------------------------------------------ *Calls: <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.wcci2020.org_wp-2D…>* (click to see pdf description) *Call for Papers <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.wcci2020.org_wp-2D…> : * Papers for IEEE WCCI 2020 should be submitted electronically using the Congress website www.wcci2020.org and will be refereed by experts in the fields and ranked based on the criteria of originality, significance, quality and clarity. *Call for Special Sessions: * IEEE WCCI 2020 solicits proposals for special sessions within the technical scope of the three conferences. Special sessions are to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. Cross-fertilization of the three technical disciplines and newly emerging research are strongly encouraged. Inquiries regarding special sessions and proposals should be addressed to Special Sessions Chairs : Richard Duro, University of A Coruña. Spain <mailto:Richard Duro. Special Session Co-Chair. WCCI2020 Glasgow. Uof A Coru%C3%B1a. Spain<richard(a)udc.es>?subject=WCCI2020%20Glasgow,%20UK%20-%20FUZZ%20Special%20Sessions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Humberto Bustince, Public University of Navarra, Pamplona, Spain <mailto:Humberto Bustince. Special Session Co-Chair. WCCI2020 Glasgow. Public Uof Navarra. Pamplona. Spain<bustince(a)unavarra.es>?subject=WCCI2020%20Glasgow,%20UK%20-%20CEC%20Special%20Sessions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> David Corne, Heriot-Watt University, Scotland, UK <mailto:David Corne. Special Session Co-Chair. WCCI2020 Glasgow. Heriot-Watt U. Scotland. UK<dwcorne(a)gmail.com>?subject=WCCI2020%20Glasgow,%20UK%20-%20IJCNN%20Special%20Sessions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Xiao-Jun Zeng, University of Manchester, UK <mailto:Xiao-Jun Zeng. Special Session Co-Chair. WCCI2020 Glasgow. Uof Manchester. UK<x.zeng(a)manchester.ac.uk>?subject=WCCI2020%20Glasgow,%20UK%20-%20Cross-disciplinary%20and%20Applications%20Special%20Sessions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> *Call for Tutorials: * IEEE WCCI 2020 will feature pre-Congress tutorials, covering fundamental and advanced topics in computational intelligence. A tutorial proposal should include title, outline, expected enrollment, and presenter/organizer biography. Inquiries regarding tutorials should be addressed to Tutorials Chairs : Barbara Hammer, Bielefeld University, Germany <mailto:Barbara Hammer. Tutorial Session Co-Chair. WCCI2020 Glasgow. Bielefeld U. Germany<bhammer(a)techfak.uni-bielefeld.de>?subject=WCCI2020%20Glasgow,%20UK%20-%20Tutorials%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Plamen Angelov, Lancaster University, UK <mailto:Plamen Angelov. Tutorial Session Co-Chair. WCCI2020 Glasgow. Lancaster U. UK<p.angelov(a)lancaster.ac.uk>?subject=WCCI2020%20Glasgow,%20UK%20-%20Tutorials%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Ponnuthurai Suganthan, Nanyang Technological University, Singapore <mailto:Ponnuthurai Suganthan. Tutorial Session Co-Chair. WCCI2020 Glasgow. Nanyang TechU. Singapore<epnsugan(a)ntu.edu.sg>?subject=WCCI2020%20Glasgow,%20UK%20-%20Tutorials%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> *Call for Competitions: * IEEE WCCI 2020 will host competitions to stimulate research in computational intelligence. A competition proposal should include descriptions of the problem(s) addressed, evaluation procedures, and a biography of the organizers. Inquiries regarding competitions should be addressed to the Competitions Chairs : Huanhuan Chen, University of Science and Technology of China, China <mailto:Huanhuan Chen. Competition Co-Chair. WCCI2020 Glasgow. Uof Science and Technology of China. China<hchen(a)ustc.edu.cn>?subject=WCCI2020%20Glasgow,%20UK%20-%20Competitions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Jialin Liu, Southern University of Science and Technology, Shenzhen, China <mailto:Jialin Liu. Competition Co-Chair. WCCI2020 Glasgow. Southern UofS&T. Shenzhen. China<liujl(a)sustc.edu.cn>?subject=WCCI2020%20Glasgow,%20UK%20-%20Competitions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Bill Buchanan, Edinburgh Napier University, UK <mailto:Bill Buchanan. Competition Co-Chair. WCCI2020 Glasgow. Edinburgh Napier U. UK<B.Buchanan(a)napier.ac.uk>?subject=WCCI2020%20Glasgow,%20UK%20-%20Competitions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Christos Panayiotou, University of Cyprus, Cyprus <mailto:Christos Panayiotou. Competition Co-Chair. WCCI2020 Glasgow. Uof Cyprus. Cyprus<christospspamucy.ac.cy>?subject=WCCI2020%20Glasgow,%20UK%20-%20Competitions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> *Call for Workshops: * The 2020 IEEE WCCI invites proposals for workshops to be held in conjunction with the main event. The overall purpose of a workshop is to provide participants with the opportunity to present and discuss novel research ideas on active and emerging topics of Computational Intelligence. Topics of the proposed workshops should therefore be aligned with those set forth in the call for papers for the main event. Prospective workshop organizers are invited to submit their proposals to the Workshops Chairs below: Ali Minai, University of Cincinnati, USA <mailto:Ali Minai. Workshop Co-Chair. WCCI2020 Glasgow. Uof Cincinnati. USA<ali.minai(a)uc.edu>?subject=WCCI2020%20Glasgow,%20UK%20-%20Workshops%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Lipo Wang, National Technological University of Singapore <mailto:Lipo Wang. Workshop Co-Chair. WCCI2020 Glasgow. National TechU. Singapore<elpwang(a)ntu.edu.sg>?subject=WCCI2020%20Glasgow,%20UK%20-%20Workshops%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> ------------------------------------------------------------------------ *Venue: * IEEE WCCI 2020 will be held in Glasgow, Scotland, UK - one of Europe's most dynamic cultural capitals and the "World's Friendliest City" [Rough Guide 2015]. Steeped in culture, rich in history and alive with an excitement you can sense as you walk through its elegant Victorian streets, squares, parks and gardens. The Conference will be held at the prestigious Scottish Event Campus (SEC) <https://urldefense.proofpoint.com/v2/url?u=https-3A__www.sec.co.uk_&d=DwMFa…>, which was a key venue for the 2014 Glasgow Commonwealth Games. ------------------------------------------------------------------------ * IEEE WCCI 2020 General Co-Chairs * Amir Hussain <mailto:Amir Hussain. General Co-Chair. WCCI2020 Glasgow. Edinburgh Napier U. Scotland. UK<hussain.doctor(a)gmail.com>?subject=WCCI2020%20Glasgow,%20UK%20-%20General%20Inquiry&body=If%20your%20[questions,%20comments]%20are%20related%20to%20the%20Calls%20above,%20or%20to%20the%20responsibilities%20of%20Organizing%20Committee%20as%20listed%20at%20https://www.ijcnn.org/organizing-committee%20,%20please%20contact%20the%20appropriate%20Chair%20directly.%20%20I%20would%20be%20happy%20to%20answer%20%20your%20other%20[questions,%20comments].%20%20Please%20add%20them%20below,%20then%20send.> Founding Head of the Cognitive Big Data and Cybersecurity (CogBiD) Research Lab, Edinburgh Napier University, Scotland, Marios Polycarpou <mailto:Marios Polycarpou. General Co-Chair. WCCI2020 Glasgow. Uof Cyprus<mpolycar(a)ucy.ac.cy>?subject=WCCI2020%20Glasgow,%20UK%20-%20General%20Inquiry&body=If%20your%20[questions,%20comments]%20are%20related%20to%20the%20Calls%20above,%20or%20to%20the%20responsibilities%20of%20Organizing%20Committee%20as%20listed%20at%20https://www.ijcnn.org/organizing-committee%20,%20please%20contact%20the%20appropriate%20Chair%20directly.%20%20I%20would%20be%20happy%20to%20answer%20%20your%20other%20[questions,%20comments].%20%20Please%20add%20them%20below,%20then%20send.> Director of the KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus Xin Yao <mailto:Xin Yao. General Co-Chair. WCCI2020 Glasgow. Southern Uof S&T. China<x.yao(a)cs.bham.ac.uk>?subject=WCCI2020%20Glasgow,%20UK%20-%20General%20Inquiry&body=If%20your%20[questions,%20comments]%20are%20related%20to%20the%20Calls%20above,%20or%20to%20the%20responsibilities%20of%20Organizing%20Committee%20as%20listed%20at%20https://www.ijcnn.org/organizing-committee%20,%20please%20contact%20the%20appropriate%20Chair%20directly.%20%20I%20would%20be%20happy%20to%20answer%20%20your%20other%20[questions,%20comments].%20%20Please%20add%20them%20below,%20then%20send.> Chair, Dept of Computer Science and Engineering, Southern University of Science & Technology, Shenzhen, Guangdong, China *********************************************** Professor Dr. Stefan Wermter Chair of Knowledge Technology Department of Computer Science University of Hamburg Vogt Koelln Str. 30 22527 Hamburg, Germany Email: wermter AT informatik.uni-hamburg.de http://www.informatik.uni-hamburg.de/~wermter/ http://www.informatik.uni-hamburg.de/WTM/ ***********************************************

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[meetings] Call for contributions: Workshop on "Role of movement-based active perception in navigation and its neurorobotic correlates" at SWARM 2019, Okinawa, Japan
by Danish Shaikh June 25, 2019

June 25, 2019

Call for contributions ----------------------------- Workshop on "Role of movement-based active perception in navigation and its neurorobotic correlates" at SWARM 2019: The 3rd International Symposium on Swarm Behavior and Bio-Inspired Robotics, Okinawa, Japan Date: November 22, 2019 Location: Okinawa Institute of Science and Technology, Onna-son, Okinawa, Japan Workshop url: https://arilab.unit.oist.jp/swarm2019/#ws Workshop overview ---------------------------- Active perception in animals involves executing behaviours that move sensory appendages (e.g. eyes, pinnae, antennae or whiskers) in space to increase flow of sensory stimuli as well as the sampled information content. This increased sampling can significantly improve the animal's understanding of its environment. In this context, perception (interpretation of sensory stimuli) and action (behaviours that move the sensory appendages) are tightly coupled. Several biological studies have identified the important role of movement-based active sensing for increasing sensory volumes and many robotic studies have investigated the principles underlying active perception in adaptive behaviour. Insects and rodents are very promising model organisms to study active perception, as they possess highly mobile sensory appendages, a wide variety of sensilla and a well-studied nervous system. The neurorobotic approach, i.e. developing robotic models of biological neural mechanisms, is well-suited for hypothesis-testing as it allows one to isolate and embed the neural mechanism of interest within an artificial body that can sense and act in the real world. This relieves scientists from the task of modelling the statistics of sensory stimuli, as the real world provides these statistics for free. This full day workshop brings together leading experts, from both biology and neurorobotics perspectives, to shed light on the principles underlying active antennal perception as well as its neural correlates and discuss the neurorobotic approach to modelling active perception. Learning outcomes: - Understanding the basic concepts and principles of active perception - Knowledge of neural correlates of active perception - Knowledge of embodied AI and the neurorobotic approach - Applying these concepts and knowledge in developing agents/robots that utilise actively moving antennae to execute navigation behaviours such as taxis The full-day workshop consists of: - Theory (lectures): Invited talks by experts from biology and neurorobotics, - Practice tutorial: Hypothesis-testing via neurorobots in simulated and/or real-world navigation tasks, - Discussion and future directions Submission guidelines ------------------------------ Contributions in the form of 1 page conf. style abstract on active perception. This includes both studies in biological organisms as well as in robots. All abstracts must be formatted in the SWARM conference style, templates for which can be found here - https://arilab.unit.oist.jp/swarm2019/#submission Selected contributions will be presented in a form of a poster during the workshop. We particularly encourage young scientists to contribute their research results (reporting early-stage research where results are not yet available is welcome as well). We also welcome live robot demonstrations on active perception models. Submissions have to be sent to danish[at]mmmi.sdu.dk (please replace [at] with @) in PDF format only. One author per accepted workshop contribution (poster and/or demo) is required to register for and attend the workshop to present the accepted abstract. Outstanding contributions might be selected for oral presentations. Relevant dates -------------------- Deadline for abstract submission: August 21, 2019 Anywhere on Earth time - https://time.is/Anywhere_on_Earth Notification of acceptance: September 21, 2019 Workshop: November 22, 2019 Tentative list of speakers ---------------------------------- - Einat Couzin-Fuchs (University of Konstanz, Germany) - Venkatesh N. Murthy (Harvard University, USA) - Danish Shaikh (University of Southern Denmark, Denmark) - Alejandro Pequeño Zurro (University of Southern Denmark, Denmark) Workshop organizers ----------------------------- Danish Shaikh Alejandro Pequeño Zurro Contact ----------- Danish Shaikh (danish[at]mmmi.sdu.dk) Assistant professor Embodied Systems for Robotics and Learning Maersk Mc-Kinney Moller Institute University of Southern Denmark Campusvej 55, 5230 Odense M Denmark Tel. (office): +45 6550 9526 www.sdu.dk

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Computational Neuroscience PhD and Postdoc Positions, University of Calgary
by Wilten Nicola June 23, 2019

June 23, 2019

The newly formed research group of Dr. Wilten Nicola, at the Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary invites applications for talented PhD and postdoctoral researchers commencing in the fall of 2019 or Winter of 2020. The Nicola lab is focused on the interplay between network connectivity, and dynamics in populations of spiking neurons.. We attack this problem using two general approaches: *Bottom Up*: Given a set of synaptic weights, what dynamics or phenomenon emerge in a network of neurons coupled by these weights? Potential methods*: Fokker-Planck systems, Mean-field approaches, Wilson-Cowan modelling. * *Top Down*: Given a desired dynamical system that a network should display, how should the individual neurons be coupled together such that the network displays these dynamics? *Potential methods: Inverse Problem Theory and Machine Learning approaches to training Recurrent Neural Networks.* *PhD Requirements:* An undergraduate/masters degree in Mathematics, Physics, Statistics, Engineering, or other quantitative fields with a strong interest in neuroscience, or machine learning. *Postdoctoral Requirements*: A PhD in applied/pure mathematics, computational neuroscience, physics, or related quantitative fields. As part of the Hotchkiss Brain Institute, an eagerness to collaborate with experimental researchers in the department is a must! Examples include Jaideep Bains, Cam Teskey, Stephanie Borgland, and Jonathan Epp. Calgary, Canada’s fastest growing major city, is vibrant and multicultural with a population of more than 1,000,000. Situated near the Rocky Mountains, Banff National Park and Lake Louise, Calgary offers great quality of life and outstanding recreational activities. *Interested candidates for the positions should submit, via email, a curriculum vitae, and a summary of research interests. PhD candidates should also submit undergraduate/masters transcripts. Postdoctoral candidates should submit reprints of (up to) their three most relevant publications by August 15th. Submit directly to * Dr Wilten Nicola Assistant Professor Faculty of Medicine, University of Calgary Foothills Medical Center 1403 29th Street NW Calgary, Alberta, Canada T2N 2T9 Email: nicolacompneurolab(a)gmail.com *Applications will be considered until all positions are filled.*

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Full-time and Internship positions at Apple
by Burak Yildiz June 23, 2019

June 23, 2019

We have a full-time position and an internship position in Computational Neuroscience at Apple in the San Francisco Bay Area. It's a rare opportunity to do neuroscience research in industry! Please apply directly through Apple's website. - Computational Neuroscientist / Machine Learning Scientist (Full-time) https://jobs.apple.com/en-us/details/200071090/computational-neuroscientist… - Quantitative Systems Neuroscientist PhD Intern (6 months starting from September 2019) https://jobs.apple.com/en-us/details/200059097/quantitative-systems-neurosc… Burak Yildiz Sr. Research Scientist at Apple

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postdoctoral position announcement
by Yuri Dabaghian June 20, 2019

June 20, 2019

*Job Title: * *Postdoctoral Associate in Neural Circuits of Learning and Memory* NIH-funded postdoctoral positions are immediately available to study neural circuit mechanisms of learning and memory and their involvements in neurological disorders. Successful candidates will a) design and perform in vivo electrophysiological experiments that record a large number of single neurons in rats performing behavioral tasks, in combination with optogenetic, pharmacological and computational approaches, and b) carry out extensive, in-depth computational analyses of the recorded data and develop of data-driven models of neuronal network dynamics during spatial learning. Experimental position will be based in the laboratory of Dr. Daoyun Ji at Baylor College of Medicine, which conducts high-quality hypothesis-driven research on exciting questions of how specific memory representations are formed, recalled and consolidated, which aspects of memory processing are impaired in neurodegenerative diseases and how they can be rescued at the neural circuit level. Computational and modeling position, focusing on recently developed methods of data analyses, will be based in the laboratory of Dr. Yuri Dabaghian the Department of Neurology at the University of Texas Houston, McGovern Medical School. A Ph.D. in basic sciences/engineering or equivalent is required. Candidates with background in neuroscience, physical sciences, mathematics, and/or engineering are encouraged to apply. Previous experiences in data analyses, electrophysiology, animal behavior, and/or optogenetics using transgenic models or viral injections are preferred, but not required. We are looking for scientists who share our research interests and who are motivated by exciting science and eager to learn new skills. To apply, please send application materials including a detailed CV, cover letter, and contact information of 3 references to Profs. D. Ji (dji(a)bcm.edu) and Dr. Yuri Dabaghian (yuri.a.dabaghian(a)uth.tmc.edu) The position is available immediately, until filled. *Minimum Education: *Ph. D. in basic sciences or engineering. *Minimum Job Experience:* None. *Additional Information:* https://www.bcm.edu/research/labs/daoyun-ji https://med.uth.edu/neurology/faculty/yuri-a-dabaghian-phd/ Send application and inquiries to yuri.a.dabaghian(a)uth.tmc.edu and dji(a)bcm.edu. *Job Category*: Postdoctoral Fellow/Associate *Required Documents*: CV, cover letter, and contact information of 3 references *Optional Documents*: None

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Job opening at predoctoctoral level @ Madrid. Machine Learning Human Brain Aging Project
by Jaime Gomez-Ramirez June 17, 2019

June 17, 2019

One predoctoctoral position is available at Fundación CIEN (Centre for Research in Neurodegenarative Diseases) in Madrid, Spain ( https://www.fundacioncien.es/) PILEP +90 “Longevity research program Spain-Portugal +90 (PILEP+90)”. PILEP +90 is an International Research Project including the University of Braga (Portugal), University of Southern Denmark (Denmark) and Fundación CIEN (Madrid, Spain). The candidate will work in the PILEP +90 project "Application of machine learning to study factors of healthy and pathological aging”, led by Jaime Gómez-Ramírez at Fundación CIEN. The researcher will be affiliated with Big Data Research & Brain Analytics Unit, Area of NeuroImaging at Fundación CIEN. The goal of this project is to use state-of-the-art machine learning to understand human brain aging. In particular, the project will study healthy subjects 90 years or older. For this purpose, the project lead will have access to magnetic resonance imaging (MRI), lifestyle, cognitive performance and genetic data of the participants in the study. Fundación CIEN is home to a multidisciplinary community of scientists in neuroscience, with special focus on aging, both healthy and pathological. The researcher will have access to a large MRI dataset collected in the last 8 years and will collaborate with the international partners in the project. Qualifications: Candidates should have university degree in a relevant field (e.g, or computer science, physics, engineering, psychology or mathematics) by the start date. The candidate should have experience in computer programming (Python, Matlab, C) and statistical data analysis. The ideal candidate will have a publication record that includes computational modeling and empirical data analysis and will be interested to apply or be enrolled in a PhD program. The appointment is for one year, the salary is 23.400 euros gross before taxes. The contract includes contributions to the Spanish social Security system, which covers for illness, injuries and accidents at work, unemployment, maternity and paternity leave. The selection process is open for candidates that already have the legal right to work in the EU. We especially encourage applications from women and members of minorities that are underrepresented in science. The position is available immediately. The deadline to apply is the 25th of June 2019. Applicants are invited to submit their applications at https://ciberned.cientifis.com/Publica/Convocatorias/Solicitantes/Solicitan… . Applicants are requested to send in CV, degree certificate, cover letter (including a brief summary of previous research accomplishments and future plans) with two to three referee names. Applicants may contact Dr. Gomez-Ramirez directly (email: jgomez(a)fundacioncien.es) for further information. More information about the project can be found at https://cenie.eu/en/blogs/pilep90/application-data-mining-techniques-identi… Jaime Gomez-Ramirez, PhD Big Data Research & Brain Analytics Unit, Area of NeuroImaging Centre for Research in Neurodegenerative Diseases Fundación Reina Sofia Valderrebollo, 5 Madrid, Spain

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2 PhD Positions at NTNU (Norway)
by Benjamin Dunn June 17, 2019

June 17, 2019

Two PhD positions (1 for theory and 1 for experiments) are currently available to characterize the population neural activity in normal and Alzheimer’s disease animals. This is part of a collaboration between the Kavli Institute for Systems Neuroscience, NTNU and the Department of Mathematics, NTNU. Please apply here: https://www.jobbnorge.no/en/available-jobs/job/170189/2-phd-fellowships-in-… The deadline is July 1st! Ben (Benjamin Dunn)

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Ph.D. positions in Neuromorphics and Robotics at KTH Stockholm
by Jörg Conradt June 17, 2019

June 17, 2019

Here a call for open Ph.D. positions in Neuromorphics and Robotics (algorithms and hardware), exact project flexible. Application deadline July 12. https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:274694 Would you know of anyone interested? Please forward. Any information needed? Please anyone inquire informally by brief email. Information on our work here ("old and somewhat outdated" pages from my former group): http://tum.neurocomputing.systems/en/research/index.html Thank you! I am very much looking forward to increasing the group at KTH. Jörg [Kth Logo] Jörg Conradt Prof. Dr. KTH Royal Institute of Technology Computational Science and Technology School of Electrical Engineering and Computer Science Lindstedtsvägen 5, SE-114 28 Stockholm, Sweden Phone: +46-8-790 6231 Email: conr(a)kth.se<mailto:conr@kth.se>, Web: www.kth.se<http://www.kth.se/>

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Full Professorship Theoretical Systems Neuroscience
by Carsten Mehring June 13, 2019

June 13, 2019

The Faculty of Biology of the University of Freiburg invites applications for a Full Professorship (W 3) for Theoretical Systems Neuroscience at the Department of Biology III to be filled as soon as possible. This professorship is also particularly suitable for highly qualified early career researchers. The future job holder should be internationally renowned for the investigation of complex brain functions using modern theoretical neuroscientific approaches. In this context, investigations at the systems level using modern approaches from the theoretical and/or computational neurosciences are particularly welcome. Thematically, the professorship should focus on one of the following areas: learning mechanisms, decision-making processes, sensory systems, sensorimotor integration/control, or the mechanistic understanding of neuronal networks in functional and dysfunctional brains. Collaborations with the experimental and theoretical neuroscientific research groups and research centres established in Freiburg are very welcome. Further information on neuroscientific research in Freiburg can be found on the website www.neuro.uni-freiburg.de <http://www.neuro.uni-freiburg.de/> as well as on the homepages of the Faculty of Biology www.bio.uni-freiburg.de <http://www.bio.uni-freiburg.de/> and the Bernstein Center Freiburg www.bcf.uni-freiburg.de <http://www.bcf.uni-freiburg.de/>. Teaching contributions to the MSc Neuroscience, the BSc and MSc Biology, the Master of Education Biology as well as contributions to the organization of the MSc Neuroscience are expected. Prerequisites for the employment of Professors are a university degree, an outstanding dissertation and an excellent publication record. Substantial achievements and experience in academic research and teaching, at the level of a Habilitation according to the German academic system, are expected. We are particularly pleased to receive applications from women for the position advertised here. The following application documents are to be submitted: o Curriculum vitae o Certificates of degrees and academic qualifications as well as references o Complete list of papers and invited lectures specifying the 10 most important publications Please send your application including supporting documents mentioned above and the application form (http://www.zuv.uni-freiburg.de/formulare/bewerbungsbogen_englisch.pdf <http://www.zuv.uni-freiburg.de/formulare/bewerbungsbogen_englisch.pdf>) citing the reference number 00569, by 31.07.2019 at the latest. Please send your application to the following address in electronic form: The Dean of the Faculty of Biology, Schänzlestr. 1, D-79104 Freiburg. Via e-mail: application(a)biologie.uni-freiburg.de <mailto:application@biologie.uni-freiburg.de>Further information on the appointment procedure can be found in the Procedure Governing Appointments to Professorships at the University of Freiburg, available under http://www.zuv.uni-freiburg.de/formulare/berufungsleitfaden-en.pdf <http://www.zuv.uni-freiburg.de/formulare/berufungsleitfaden-en.pdf#_blank>

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Post-doctoral Fellow Advertisement
by Zaghloul, Kareem (NIH/NINDS) [E] June 13, 2019

June 13, 2019

Hi, I would like to post the following ad for a post-doctoral position to the computational neuroscience listserv: Position Title Post-doctoral position in human intracranial physiology and human memory Position Description The National Institute of Neurological Disorders and Stroke is seeking a full-time post-doctoral position focused on understanding the neural correlates of human memory. This position involves studies focused on analyzing and manipulating human intracranial electrophysiological signals, including single-unit activity, local field potentials, and intracranial EEG (iEEG), captured from participants with drug resistant epilepsy and from participants receiving deep brain stimulation surgery. Post-doctoral fellows will join a laboratory aimed at understanding the neural mechanisms that underlie human episodic memory formation and decision making and at developing novel and innovative techniques to directly communicate with those circuits. We are seeking candidates that are highly creative, motivated, and independent with a Ph.D. in neuroscience, biomedical engineering, or a related field. Candidates must have a strong research background, with a record of relevant publications. Candidates will be encouraged and expected to participate in independent laboratory research, and will be expected to write scholarly manuscripts. Candidates must be able to lead and work well in a team. Candidates should have strong computational, quantitative, and/or engineering skills, with proficiency in developing custom code (Matlab, Python, etc.) for data analysis preferred. Past medical research is not required, but candidates must be willing to perform experiments in a clinical setting. Candidates will interact with clinical staff, graduate students, research fellows, and must have excellent spoken and written English skills. Applicants should submit a brief statement of research activities and interests, a current CV, and names and contact information of at least three references. Salary will be commensurate with experience and accomplishments. Applicants who will be attending the Society for Neuroscience (Chicago, IL) conference can arrange for a meeting with the Principal Investigator, Dr. Kareem Zaghloul. To arrange a meeting with the PI and to send materials required for consideration for this appointment please contact Dr. Zaghloul at:zaghloulka@mail.nih.gov<mailto:zaghloulka@mail.nih.gov>. Employer Name Kareem A. Zaghloul, National Institute of Neurological Disorders and Stroke Position Location Bethesda, MD Disclaimer NIH, an agency of DHHS, is an equal opportunity employer. All employees are subject to background investigation. The NIH is dedicated to building a diverse community in its training and employment programs. If you could post this ad for me and confirm that everything is ok, I would appreciate it. Thank you, Kareem Kareem A. Zaghloul, MD, PhD Surgical Neurology Branch National Institute of Neurological Disorders and Stroke, NIH Bldg 10, Rm. 3D20 10 Center Drive Bethesda, MD 20892-1414 O: 301-594-8114 F: 301-402-0380

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TVB Node#9 Workshop - Warsaw, August 31
by Julie Courtiol June 12, 2019

June 12, 2019

*The Virtual Brain: Node#9 Workshop* 31 August 2019 Warsaw, Poland This workshop will explain the fundamental principles of full brain network modelling using the open-source neuroinformatics platform The Virtual Brain (TVB) <https://www.thevirtualbrain.org/>. This simulation environment enables the biologically realistic modelling of brain network dynamics using connectome-based approaches across different brain scales. Researchers from different backgrounds can benefit from an integrative software platform including a simulation core written in Python and a supporting framework for data management. The workshop is organized with interleaved oral presentation and hands-on sessions. The hands-on sessions will let you immediately apply the concepts from the lectures to your simulations in TVB. The TVB Node#9 is an official training course of the Neuroinformatics2019 <https://www.neuroinformatics2019.org> holding on September 1-2, also in Warsaw. Registration and further information: bit.ly/tvb-node9 Contact: julie.courtiol(a)charite.de Best regards, Julie -- Julie Courtiol Charité Universitätsmedizin Berlin

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BRAIN Theories postdocs to develop history dependent theories across scales.
by Fidel Santamaria June 11, 2019

June 11, 2019

Two Postdoctoral positions to develop a framework to study history dependent activity across scales and species. The objective of this NIH BRAIN Theories project is to develop a unified theoretical framework to study history dependence across the nervous system. This is based on our previous work on using fractional order differential equations to study reaction diffusion and spiking dynamics in single neurons. In this project, we will further extend our theory to determine variability in cortical neurons, understand the effect of history dependence on network dynamics, coding, and information rates; and will apply our knowledge at the cellular level to predict and understand sensory processing in intact animals. This is an expansive project, with multiple collaborations. The fitting candidates will have the opportunity to interact with laboratories at McGill University, in Canada; Max Planck Institute for Dynamics & Self Organization, in Germany; and the Allen Brain Institute. Your theoretical background could be in dynamical systems, applied math, or computational neuroscience. Having knowledge of fractional order differential equations is a plus, but not required. Technically, you need to know Matlab. Knowledge of python and NEURON are a plus. You have to have a fundamental knowledge of neuroscience or demonstrate a willingness to catch up. The laboratory has all the necessary resources, from high end CPU/GPU servers, to local clusters, and access to the largest supercomputers and cloud services through the Texas Advanced Computer Center and the Chameleon Cloud. The laboratory also offers an interdisciplinary environment where experiments in cerebellar research are combined with computational and theoretical approaches. We just acquired a new multi-photon microscope with spatial light modulation capabilities that will allow us to interrogate the cerebellum in ways not possible before. San Antonio is one of the best places to live in the US. It is one of the most affordable large cities in the country, the weather is mild for most of the year, and you can afford to have a nice life. If interested, send a cover page, CV, and list of three references to fidel.santamaria(a)utsa.edu -- Fidel Santamaria, PhD Associate Professor Department of Biology One UTSA circle University of Texas at San Antonio, San Antonio, TX 78249 Office: (210) 458-6910 Lab: (210) 458-6982 Fax: (210) 458-5658 Office/Lab Location: BSB 1.03.30 http://www.utsa.edu/santamarialab/index.htm

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Official PGENESIS 2.4 release and GENESIS 2.4 Update
by Dave Beeman June 10, 2019

June 10, 2019

I would like to announce the Official Release of PGENESIS 2.4 along with a significant update to GENESIS 2.4. GENESIS is implemented with an object-oriented design that groups related object and command definitions into separately compiled libraries. Parallel GENESIS (PGENESIS) adds a library with a "postmaster" object to the usual usual GENESIS objects and commands. This allows a GENESIS simulation (e. g. a large network model) to be split into many MPI processes that communicate through the postmaster. The November 2014 release of GENESIS 2.4 was intended to be the last packaged GENESIS 2 distribution for download from the GENESIS web site (http://genesis-sim.org/GENESIS) As GENESIS is user-supported, rather than centrally developed, updates to GENESIS and PGENESIS are now obtained from the Repository for Continued Development of the GENESIS 2.4 Neural Simulator (https://github.com/genesis-sim/genesis-2.4) The object-oriented design and organization not only fosters the community development of neural models, but of the simulator itself. This new mutually-developed release of PGENESIS is such an example. As users have continued to contribute new libraries and improvements, there has been an increased use and extension of GENESIS and PGENESIS for its original purpose of realistically modeling cortical networks of multicompartmental neurons on parallel computers. Recent updates to GENESIS and a merge of the GENESIS/PGENESIS development branch from the U.S. Army Research Laboratory have addressed a number of issues in order to increase its scalability for modeling very large networks on high performance computing resources, allowing for models of millions of neurons. These improvements have made it necessary for a new release of a combined package of the May 2019 GENESIS 2.4 Update and the PGENESIS 2.4 Official Release. Information about this release and downloads are available from the GENESIS web site (http://genesis-sim.org/GENESIS) The official release of PGENESIS 2.4 is much improved from the December 2014 preliminary release. Updates of GENESIS since the 2014 release allow the fast "hsolve" solver to be used with new synaptic plasticity models and measurements of cortical field potentials. The efficient delivery of spike events when hsolve is used with large network models results in increases in simulation speed by factors of 10 to 20. This release of PGENESIS 2.4 is also now available for running large-scale network simulations on supercomputers at the Neuroscience Gateway Portal (NSG). For further information, see the https://www.nsgportal.org web page. Dave Beeman

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Neuromechanics workshop at Bernstein 2019
by Charlotte Le Mouel June 7, 2019

June 7, 2019

We are pleased to announce the "Neuromechanics in humans and other animals" workshop at the Bernstein Conference for Computational Neuroscience 2019. The workshop will take place in Berlin over two half-days, the afternoon of Tuesday 17th September, from 14h to 18h30, and the morning of Wednesday 18th September, from 8h30 to 12h30. The workshop program is attached. The list of speakers is: Prof. Friedl de Groote, KU Leuven, Belgium Prof. Ann Hallemans, University of Antwerp, Belgium Prof. Jaap van Dieën, University of Amsterdam, Netherlands Prof. Marcus Gruber, University of Konstanz, Germany Prof. Heiko Wagner, University of Münster, Germany Dr. Anne Koelewijn, FAU Erlangen-Nürnberg , Germany Dr. Susanne Lipfert, TU München, Germany Dr. Emanuel Andrada, University of Jena, Germany Registration costs for the workshop are 60 until 9th July / 80 until 30th August/ 100 on site. Further information on the conference is available here: http://bernstein-conference.de/ All the best, Dr. Charlotte Le Mouel and Dr. Alexander Spröwitz Dynamic Locomotion Group, Max Planck Institute for Intelligent Systems

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Bernstein Conference 2019 - deadlines approaching
by Bernstein Communication June 7, 2019

June 7, 2019

BERNSTEIN CONFERENCE 2019, September 17-20 in Berlin The deadline for abstracts aimed as contributed talks and posters is approaching! ************************************************************** Deadline for abstracts aimed as contributed talks and posters: June 13, 2019 Deadline for abstracts aimed as posters only: July 03, 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. For abstract submission and more information please visit: bernstein-conference.de/2019/abstracts 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. Submission of an abstract does not replace conference registration (intercongress.de/cgi-bin/regform_79106.exe?company=79106&event=1969&language=1&Entry=9). For more information on the conference, please visit: bernstein-conference.de -- Dr. Claudia Duppé/ Dr. Nikola Schwarzer Press and Public Relations Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) phone: (+49) 0761 203 96787 mail: bernstein.communication(a)fz-juelich.de<mailto:bernstein.communication@fz-juelich.de> web: www.bernstein-network.de<http://www.bernstein-network.de/de/start_page> ______________________________________ Twitter: NNCN_Germany<https://twitter.com/NNCN_Germany?lang=de> 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…> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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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postdoc position at UCL: decision neuroscience, computational psychiatry
by Hauser, Tobias June 7, 2019

June 7, 2019

The Developmental Computational Psychiatry lab, based at University College London (www.devcompsy.org<http://www.devcompsy.org>) is offering a postdoc position to work in decision neuroscience and computational psychiatry (esp. OCD). We are looking someone with a strong background in computational modelling, neuroimaging and/or psychiatry. The postdoc will be joining a young and interdisciplinary lab that works at the intersection of computational neuroscience, psychiatry, pharmacology and cognitive development. This means that the position offers the freedom to pursue own projects under Tobias' supervision. The position is based at the Max Planck UCL Centre for Computational Psychiatry & Ageing Research and the Wellcome Centre for Human Neuroimaging at UCL. This is a unique environment with access to cutting-edge neuroimaging facilities (3 & 7T fMRI, MEG, etc.) and is embedded in the very collaborative, world-class UCL computational neuroscience community. Potential candidates may contact Tobias directly to talk about the position and potential projects in person. This position is funded by Wellcome Trust. Application deadline is 15 June 2019. More details and application submission here: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTgwNzQ0NiZ2dF90… Best, Tobias --- Dr Tobias U. Hauser Sir Henry Dale Fellow, Principal Investigator Developmental Computational Psychiatry lab Max Planck UCL Centre for Computational Psychiatry & Ageing Research Wellcome Centre for Human Neuroimaging University College London 10-12 Russell Square London WC1B 5EH +44 207 679 5264 (internal: 45264) t.hauser(a)ucl.ac.uk<mailto:t.hauser@ucl.ac.uk> www.tobiasuhauser.com<http://www.tobiasuhauser.com/> www.devcompsy.org<http://www.devcompsy.org>

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Research Fellow Position in Seizure Prediction
by Levin Kuhlmann June 7, 2019

June 7, 2019

We have a Research Fellow opening through a collaboration between the University of Melbourne and Monash University for someone to develop and crowdsource machine learning and data science approaches to solving seizure prediction. Seizure prediction will enable the generation of warnings so a person with epilepsy can move to safety, or activation of electrical stimulation or drug delivery to prevent seizures. Our team leverages unique long-term human brain activity data to find novel, clinically relevant solutions to seizure prediction, and publishes these findings in the highest impact neurology journals (Lancet Neurology, Nature Reviews Neurology, Nature Neuroscience, Brain, PNAS). The appointed research fellow is expected to successfully contribute to and drive innovative research activities to help make seizure prediction a viable option to support patients with epilepsy. The successful candidate will hold a PhD or equivalent qualification complemented with experience in machine learning, data science, signal processing, dynamical systems theory, time series analysis and/or cloud computing. Applications close: 2nd July 2019 To apply visit: https://careers.pageuppeople.com/422/ci/en/job/900082/research-fellow-seizu…

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Open PhD position in Juelich, Germany: An approach to tracking the provenance of data acquisition and analysis in neuroscience
by Martina Reske June 6, 2019

June 6, 2019

The Helmholtz School for Data Science in Life, Earth and Energy offers a PhD position in neuroscience! See here for more information on the specific position: https://www.hds-lee.de/fileadmin/user_upload/HDS_LEE/open_positions/An_appr… Kind regards, Martina -- 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 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 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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Calling all python programmers!
by Marina June 5, 2019

June 5, 2019

Check out this unique job opportunity at the Allen Institute for Brain Science and apply to be part of a diverse team of neuroscientists and engineers working to understand how experience influences neural processing. Python fluency and a desire to work as part of a team are key qualifications. Apply here: Job posting on Indeed <https://www.indeed.com/viewjob?jk=964ae8a153d09354&q=allen+institute&l=Seat…> *Software Engineer I – Software tools for behavioral neuroscience * The Allen Institute for Brain Science seeks a Software Engineer to be an essential member of a scientific team investigating how neural circuits represent visual categories and how this coding is modified by experience, expectation, and motivation. The datasets created as part of this project will be publicly released as an open data resource for the community, in line with the Allen Institute’s core principles of big science, open science & team science. The primary role of this Software Engineer will be to work closely with neuroscientists and engineers to develop and maintain software tools for conducting and analyzing experiments designed to measure brain activity during behavior. This will require developing an in depth understanding of the scientific motivation and rationale of these studies in order to effectively translate scientific requirements into code. Accordingly, experience with or interest in neuroscience is highly valued. As part of a highly collaborative environment with an existing software ecosystem, good communication and enthusiasm for working with and learning from others is essential to this role. This position will serve as a bridge between scientific and engineering teams by contributing to early development alongside scientists, then helping to translate that development work into a highly standardized production environment. This will involve making use of existing tools and building extensions that can be used for new avenues of research. Responsibilities of this position include designing and writing stimulus control software, testing and troubleshooting code for running experiments and interacting with experimental hardware, building visualization tools to observe data acquisition in real time, writing tests, validation functions, and documentation to ensure that code is robust and results are accurate, attending meetings to discuss scientific goals and task requirements, and facilitating cross team coordination. *RESPONSIBILITIES* - Collaborate with diverse scientific and technical teams - Contribute to the design and creation of open data resources - Work with scientists and software engineers to transform complex requirements into software - Develop code to control and interact with hardware for running experiments - Implement behavior task logic in code using existing or new codebases - Understand and utilize internal databases for data management - Create and analyze visual stimuli such as images or 3D rendered objects - Write, test and troubleshoot scripts for running behavior experiments - Write unit tests and validation functions to ensure that software is working according to specifications - Write well documented code, refactor and document existing code - Manage scientific analysis codebase, address GitHub issues, maintain documentation - Build visualization tools to evaluate data quality and scientific results - Transfer knowledge of scientific code to the Process Engineering team for production implementation - Enjoys solving problems - Strong communication skills - Desire to work as part of a team in a collaborative environment - Dedicated team player *REQUIRED QUALIFICATIONS* - Bachelor’s degree in a relevant technical discipline, such as computer science, computational neuroscience, data science, or biomedical engineering - Proficient in Python - Strong programming ability for scientific computing - Experience with Python tools for scientific computing (numpy, scipy, pandas, scikit-learn, scikit-image, etc) - Working knowledge of Git for version control and collaborative coding - Experience writing unit tests, debugging code, using profiling tools *DESIRED QUALIFICATIONS* - 1+ years of relevant experience in a team oriented software development environment - 1+ years of experience with scientific computing - Experience with systems or behavioral neuroscience - Experience refactoring existing code bases to improve maintainability. - Experience with relational (e.g. postgres, SQL) and/or distributed (e.g. MongoDB) databases - Experience with scientific data visualization - Experience with image or signal processing - Experience with hardware interfaces, graphical user interfaces - Experience meeting aggressive timelines and deliverables - Experience pursuing research projects in collaborative fashion

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postdoctoral position
by Daniel Ferris June 5, 2019

June 5, 2019

A postdoctoral researcher position studying human locomotion is available in the laboratory of Dr. Daniel Ferris ( https://faculty.eng.ufl.edu/human-neuromechanics-laboratory) This position is for an initial one-year appointment, and has the potential to be renewed for an additional three years based on performance and funding availability. Dr. Ferris has a long history of training professionals who have entered and succeeded in both academic and industry positions. The postdoctoral research will work on a currently funded NIH project (U01 AG061389) designed to identify neural correlates of mobility impairments in older adults. Research will involve using high-density electroencephalography (EEG) to track changes in electrocortical dynamics in older adults in a longitudinal study. Subjects will walk on a range of terrain surfaces to determine how they compensate for surfaces that challenge their stability. We will determine whether poorer walking performance is associated with the Compensation Related Utilization of Neural Circuits Hypothesis (CRUNCH). CRUNCH is a well-supported model of brain activity patterns that are seen when older individuals perform tasks of increasing complexity. CRUNCH describes the over-recruitment of frontoparietal brain networks that older adults exhibit in comparison to young adults, even at low levels of task complexity. CRUNCH also describes the limited reserve resources available in the older brain. These factors cause older adults to quickly reach a ceiling in brain resources when performing tasks of increasing complexity. *Attributes of UF and Gainesville*: The BME Department is housed in a state-of-the art building that is located in the medical school and steps from engineering. The University of Florida is one of only a few comprehensive universities, having medical, veterinary, dental, nursing, public health, and engineering disciplines all co-localized on the same, contiguous campus. UF is a highly collaborative environment that provides researchers with many opportunities for learning (e.g., top seminar programs, excellent core research facilities) and research collaborations. Gainesville is located in the northern region of Florida, within 1-1.5 hours of each coast, and just 1.5-2 hours to Orlando and Tampa. It is a small to medium-sized city with a low cost of living, excellent public and private schools, and southern hospitality. While Gainesville is widely recognized as the home of the Gators, it is quickly becoming known as a center for innovation and a place with a lifestyle that’s comfortable for families, yet attractive for young professionals. In 2013 the financial website NerdWallet deemed Gainesville the #1 fastest growing US city ( http://www.eng.ufl.edu/careers/why-gainesville) The J. Crayton Pruitt Family Department of Biomedical Engineering is one of only a few departments in the nation to be co-localized with a top-ranked medical school, veterinary school and dental school. The department is housed in a new state-of-the-art building (completed in 2010) that is co-located with the medical school and steps from engineering. Biomedical Engineering at UF partners with many local research centers and institutes including the McKnight Brain Institute, the Clinical and Translational Science Institute, the National High Magnetic Field Laboratory and the Malcom Randall VA Medical Center. *Minimum Qualifications*: Applicants must have a Ph.D. in neuroscience, biomedical engineering, kinesiology or a related biomedical science area. Applicants must have experience with manuscript preparation and submission. Experience with Matlab, EEGLAB, EEG, and motion analysis is desirable. *Salary:* minimum is $48,000 annually *Days to post:* Position is open until filled. *Special Instructions to applicants:* In addition to applying online to Careers at UF (https://jobs.ufl.edu/) Applicants should send a CV, a brief statement of interest, and contact information for two references to Dr. Ferris at dferris(a)bme.ufl.edu. Review of applications will start immediately and continue until the position is filled. -- Daniel P. Ferris, Ph.D. Editor-In-Chief, IEEE-TNSRE editortnsre(a)gmail.com

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Two PhDs and two Post-doc positions in Neuro-inspired Deep Learning with T. Serre & R. VanRullen
by Rufin VanRullen June 5, 2019

June 5, 2019

Two PhDs and two Post-doc positions in Neuro-inspired Deep Learning with T. Serre & R. VanRullen [Apologies for cross-postings] We are seeking talented and motivated students and post-docs for a number of open positions, in a collaborative effort between the labs of Thomas Serre (Brown University/Toulouse) and Rufin VanRullen (Toulouse). The positions will be based in Toulouse (France), with numerous opportunities to travel, in particular for visits to and close collaborations with the Serre lab at Brown University (USA). The successful candidates will become involved in a number of projects, depending on their particular interests, and will also have the opportunity to develop independent projects. Applicants for the PhD positions should hold a Masters degree or equivalent. Applicants for the post-doc positions should hold a PhD, or expect to receive their PhD shortly. Candidates must have a strong background in computer vision and/or computational neuroscience and/or machine learning. Excellent python programming skills and Tensorflow/PyTorch experience are required. Additionally, applicants at the post-doc level should ideally have a track record of relevant publications at top venues (e.g., NIPS, ICML, CVPR, ICCV, ICLR, etc.). Exceptional candidates with a primary degree in Neuroscience and strong programming/quantitative abilities will also be considered. The fellows will be located in a state-of-the-art facility within the new ANITI (Artificial and Natural Intelligence Toulouse Institute) research center in Toulouse, France. They will be part of the AI Research Chairs held by Thomas Serre ("Reverse-engineering the brain") and Rufin VanRullen ("Deep Learning with semantic, cognitive and biological constraints"). They will also benefit from a lively local community of Deep Learning researchers: the Toulouse Interdisciplinary Deep Learning "TIdDLe" group (https://tiddle-group.github.io) Perks include: competitive salaries, clement weather, high quality of life, vibrant research environment. To apply, send a CV, a short (<1 page) explanation of research interests, and the name of 3 potential referees to thomas_serre(a)brown.edu and rufin.vanrullen(a)cnrs.fr The positions start in Fall 2019 (later start dates can be negotiated), the application procedure is and will remain open until all positions are filled. For more information about ongoing research projects in our labs, consult: http://serre-lab.clps.brown.edu/ and http://cerco.ups-tlse.fr/~rufin/ Some relevant papers: D. Linsley, J. Kim, & T. Serre. Sample-efficient image segmentation through recurrence. ArXiv 2019. https://arxiv.org/abs/1811.11356 D. Linsley, J. Kim, V. Veerabadran, C. Windolf & T. Serre. Learning long-range spatial dependencies with horizontal gated-recurrent units. Neural Information Processing Systems, 2018. https://neurips.cc/Conferences/2018/Schedule?showEvent=11042 D. Linsley, D. Schiebler, S. Eberhardt & T. Serre. Learning what and where to attend. International Conference on Learning Representations, 2019. https://openreview.net/forum?id=BJgLg3R9KQ VanRullen, R., Reddy, L. (2019). Reconstructing Faces from fMRI Patterns using Deep Generative Neural Networks. Nat Comm Biol. https://www.nature.com/articles/s42003-019-0438-y VanRullen, R. (2017). Perception Science in the age of Deep Neural Networks. Front. Psychology 8:142. https://www.frontiersin.org/articles/10.3389/fpsyg.2017.00142/full McLelland, D. & VanRullen, R. (2016). Theta-Gamma Coding Meets Communication-through-Coherence: Neuronal Oscillatory Multiplexing Theories Reconciled. PLoS Comput Biol 12(10), e1005162. https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005…

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Post-doctoral position in neural circuitry underlying sensory perception
by Pedro Lagomarsino de Leon Roig June 5, 2019

June 5, 2019

We invite applications for two postdoctoral positions focusing on the application of causal optogenetic approaches to dissect the neural circuits underlying sensory perception. The applicants should have a strong background in neurophysiology, circuit neuroscience, or behavioral neuroscience and be highly independent with a strong propensity for interdisciplinary research. Previous experience with electrophysiological recordings, two-photon GCaMP imaging, optogenetics or behavioral analysis is desirable. Candidates must hold a PhD in neuroscience, physics, bio-engineering or a related discipline and be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and who are willing to interact with both experimental and theoretical neuroscientists. Research activities will be carried out in the Optical Approaches to Brain Function Laboratory, supervised by Dr. Fellin. For reference to recent work please see Forli et al. Cell Reports 2018, Zucca et al. eLife 2017; Bovetti and Fellin, J. Neurosci. Methods 2015; Beltramo et al., Nat. Neurosci. 2013. Applications (full CV, two recommendation letters, and statement of research interest) should be sent by email to Dr. Tommaso Fellin ( tommaso.fellin(a)iit.it)

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Post-doc Position in Open-Ended Deep Reinforcement Learning
by Jochen Triesch June 4, 2019

June 4, 2019

We have an opening for a post-doc position in my lab (http://fias.uni-frankfurt.de/en/neuro/triesch) at the Frankfurt Institute for Advanced Studies (FIAS) to study Open-Ended Deep Reinforcement Learning in simulated robots. We study systems that effectively learn to control their bodies and their environment by defining their own learning goals, practicing the skills for achieving these goals and setting themselves progressively harder goals. The work will be performed in the context of the European GOAL-Robots project (http://www.goal-robots.eu) For a quick overview of the project, check out this video: https://youtu.be/sordZmyp8u8. The focus of this post-doc position will be on simulated humanoids learning visually guided object interaction. We are seeking an outstanding and highly motivated post-doc for this project. Applicants should have obtained a PhD in Machine Learning, Robotics, or a closely related field. The ideal candidate will have excellent programming and analytic skills and a broad knowledge of machine learning, robotics, and vision. An interest in cognitive development in human infants is a plus. The Frankfurt Institute for Advanced Studies (https://fias.institute/en/) is a research institution dedicated to fundamental theoretical research in various areas of science. The city of Frankfurt is the hub of one of the most vibrant metropolitan areas in Europe. It boasts a rich culture and arts community and repeatedly earns high rankings in worldwide surveys of quality of living. Applications should be sent as a single pdf file to triesch(a)fias.uni-frankfurt.de. Please include a brief statement of research interests, CV, and contact information for at least two references. The position can be filled immediately and applications will be reviewed on a continuing basis. The initial appointment will be for one year. -- 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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one postdoc position on testing models of mood and meta-cognition through large scale mobile platform - UPF & Telefonica Alpha (Barcelona)
by Alexandre Hyafil June 4, 2019

June 4, 2019

One fully funded postdoc position is available under the supervision of Rubén Moreno Bote and Alexandre Hyafil jointly between University Pompeu Fabra (UPF) and the innovation facility Alpha powered by Telefonica, both in Barcelona, Spain. The position involves part time at the Theoretical and Cognitive Neuroscience group at the *Center for Brain and Cognition* (UPF)( https://www.upf.edu/web/ruben-moreno-bote) and at Alpha (www.alpha.company/) Alpha was established by Telefonica in January 2016 to address some of the biggest problems in society by conceiving and delivering radical solutions and breakthrough technology. The candidate will use psychophysics tasks on a large-scale mobile platform with >5k users to track the dynamics of meta-cognition and mood across various days. Candidates should have a PhD and expertise in Computational Neuroscience, Cognitive neuroscience or Cognitive psychology. Ideally he/she should have ample experience with psychophysics and sophisticated data analysis / machine learning techniques. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience. Our lab forms part of a larger network of neuroscience labs in Barcelona. Candidates, please send a CV, letter of motivation and contact emails for references to alexandre.hyafil(a)upf.edu. Informal enquiries are recommended. Gross salary: 36 k€/year. Deadline: until the position is filled. Starting date: as soon as possible. Initial appointment is for one year.

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Independent Research Fellow in Neural Data Science (UK)
by Mark Humphries June 3, 2019

June 3, 2019

The University of Nottingham is investing in a major new research capacity in computational neuroscience. As part of this investment, we seek applications for a 2-year independent fellowship in Neural Data Science. The position is ideal for researchers with a clear vision to start their own research programme in a supportive, multi-disciplinary environment. We seek candidates positioned to join us in advancing the field of neural data science. This newly emerging discipline develops and uses the full gamut of modern computational techniques on neural data, to answer scientific questions about the brain. Candidates should be able to demonstrate a track record of quality research, and be able to independently manage their research. The Fellow will be attached to the Humphries's lab (https://www.humphries-lab.org/) for mentoring and scientific guidance, but work independently. For more on neural data science, see our guide: https://medium.com/the-spike/a-neural-data-science-how-and-why-d7e3969086f2 For full details of the role and to apply: https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI168019 Please send informal enquiries to Professor 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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Full-Time Research Assistant (RA)/ Lab Manager at Max Planck Institute, Research Group of Lucia Melloni
by Lucia Melloni June 1, 2019

June 1, 2019

We are hiring! Come join us as a Research Assistant/Lab Manager We are looking for a passionate and talented Lab Manager to join the research group of Lucia Melloni at the Max Planck Institute for Empirical Aesthetics (Frankfurt am Main, Germany). Our lab is interested in understanding why we perceive and remember the way we do, and specifically why we are conscious. To tackle those questions we use a range of methods including psychophysics, magnetoencephalography, functional magnetic resonance imaging, and invasive recordings in epilepsy patients. The lab manager is expected to provide support for research activities carried out in the lab but also to pursue research projects of his/her own. The position is particularly suited for a recent graduate from a Neuroscience, Psychology, Cognitive Science, Computer Science or related program who is seeking to work in an innovative research environment in preparation for graduate school. A two-year commitment is expected; the anticipated start date is August 2019 or soon after. Interested applicants are welcome to email Lucia Melloni directly for enquiries regarding the position (lucia.melloni(a)ae.mpg <mailto:lucia.melloni@ae.mpg>.de). Please submit your application, including a CV and a cover letter describing your background, experience and motivation - preferably in pdf format, and the names of two references that have previously agreed to be contacted no later than June 24, 2019, to: job(a)ae.mpg.de <mailto:job@ae.mpg.de> and lucia.melloni(a)ae.mpg.de <mailto:lucia.melloni@ae.mpg.de> with the subject Lab Manager L.Melloni For the full job description please see here <https://www.aesthetics.mpg.de/institut/jobs/lab-manager-neuroscience-fmd.ht…>: https://www.aesthetics.mpg.de/institut/jobs/lab-manager-neuroscience-fmd.ht… <https://www.aesthetics.mpg.de/institut/jobs/lab-manager-neuroscience-fmd.ht…>

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6th ESI Systems Neuroscience Conference "The recurrent cortex: feedback, dynamics, and dimensionality". Registration + Abstract submission are now open
by MFES, events May 31, 2019

May 31, 2019

6th ESI Systems Neuroscience Conference "The recurrent cortex: feedback, dynamics, and dimensionality" 5-6 September 2019 Frankfurt am Main, Germany =========================================== The Ernst Strüngmann Institute Systems Neuroscience Conference (ESI SyNC) 2019 will take place this year on September 5th and 6th at the Ernst Strüngmann Institute in Frankfurt, Germany. This year's theme is 'The recurrent cortex: feedback, dynamics, and dimensionality'. The conference will feature eleven internationally renowned speakers who will give talks on neural feedback, signal dimensionality, and temporal dynamics. Ample time for both formal and informal discussion has been included in the schedule. There will also be a poster session for which we welcome submissions. Confirmed speakers =========================================== Sacha van Albada Alessandra Angelucci Carina Curto Peter Dayan Thomas Fraps Nikolaus Kriegeskorte Jakob Macke Tatyana Sharpee Fred Wolf Rafael Yuste Li Zhaoping Registration and abstract submission are now open! =========================================== For more information and to register for the conference or submit a poster presentation, please visit: www.esi-frankfurt.de/esisync/<http://www.esi-frankfurt.de/esisync/> Or contact: esi-sync(a)esi-frankfurt.de<mailto:esi-sync@esi-frankfurt.de> Limited spaces are available, so early registration is encouraged. Best Regards, The ESI SyNC 2019 organizing team: Wolf Singer Pascal Fries Renata Vajda William Barnes Christini Katsanevaki Katharine Shapcott Cem Uran Yiling Yang

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