- Comp-neuro - lists.cnsorg.org

CNS*2020 Melbourne: Meeting Updates and Deadline Extensions
by Martin Zapotocky March 13, 2020

March 13, 2020

Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA* Meeting Update* *29th Annual Computational Neuroscience Meeting (CNS*2020)* Melbourne, Australia July 18--22, 2020 https://www.cnsorg.org/cns-2020-quick In response to the rapidly evolving COVID-19 situation in many countries, the previously announced deadlines are extended as follows: *Deadline for submission of abstracts*, in case *oral presentation or travel award* is requested: *April 29* *Deadline for submission of abstracts*, in case *poster presentation* is requested: *May 6* *Deadline for travel award applications* (main meeting): *April 29* Expected date of notification of abstract acceptance: May 13 Expected date of notification of oral presentation: May 27 Expected date of notification of travel award: May 27 *An update on the expected size of the meeting*: As of March 12, we have received 170 registrations for CNS*2020. This indicates a meeting with approximately *300 participants*, going by the registration patterns from previous years. We consider it likely that the final number of participants will exceed this estimate, provided the current travel uncertainties resolve. We understand that this is a fluid situation and will continue to update the membership. In case travel bans are not lifted in time for the meeting or in time for visas to be approved, OCNS will provide full registration refunds to affected members. For presenters unable to attend CNS*2020 due to a COVID-19 travel ban, we will make every effort to facilitate your remote participation in the meeting. For up-to-date information, please followhttps://www.cnsorg.org/cns-2020-covid-19-updates <http://clicks.memberclicks-mail.net/ls/click?upn=0q9n39ErOfD80mnaMiQultun8I… 0axtRVdJqvUZGkgRQOBLX2BnhPmSeOG6C7q4-2BV0Mjvqat1L2zEbHqL2bQCkFVeV8R-2BWfPxLV6-2Fi4ZVunUcxz7GFm73nAkl48kyQEYvF18hp2xor0LzSUwCE3W2JBhT5vnEpN-2FFnB9oK7KB6QZOkzQPlNq1uBvFBrKzkpizS4rrCCOqSGTWaIJ4-3D> -- Martin Zapotocky, Ph.D. Institute of Physiology, Czech Academy of Sciences Videnska 1083 14220 Prague 4, Czech Republic URL:www.biomed.cas.cz/~zapotocky Tel: +420-241-062-708 Email:zapotocky@biomed.cas.cz Upozorneni: Neni-li v teto zprave vyslovne uvedeno jinak, ma tato E-mailova zprava nebo jeji prilohy pouze informativni charakter. Tato zprava ani jeji prilohy v zadnem ohledu ustavy AV CR, v.v.i. k nicemu nezavazuji. Text teto zpravy nebo jejich priloh neni navrhem na uzavreni smlouvy, ani prijetim pripadneho navrhu na uzavreni smlouvy, ani jinym pravnim jednanim smerujicim k uzavreni jakekoliv smlouvy a nezaklada predsmluvni odpovednost ustavu AV CR, v.v.i. Disclaimer: If not expressly stated otherwise, this e-mail message (including any attached files) is intended purely for informational purposes and does not represent a binding agreement on the part of Institutes of the Czech Academy of Sciences. The text of this message and its attachments cannot be considered as a proposal to conclude a contract, neither the acceptance of a proposal to conclude a contract, nor any other legal act leading to concluding any contract; nor does it create any pre-contractual liability on the part of Institutes of the Czech Academy of Sciences.

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Nomination and Application due 1 June for MDPI Computers Travel Award 2020
by Blink Yu March 12, 2020

March 12, 2020

*** 2020 MDPI Computers Travel Award *** We are pleased to announce that the application period is now open for the Computers Travel Award 2020. The applications will be assessed by an Evaluation Committee chaired by the Editor-in-Chief of Computers. This prize provides financial support for the winner to attend an international conference in the field of computer science & engineering to be held in 2020 in order to hold a presentation, present a poster, or both. Requirements: • Applicants must be postdoctoral fellows or PhD students involved in computer science, broadly defined as any discipline covered within Computers. Required application documents: • Outline of current and future research; • CV, including a complete list of publications; • Details of the conference to be attended (conference name and website) and an abstract of the work that will be presented; • Letter of recommendation from the supervisor, research director, or department head that confirms the applicant’s status as a postdoctoral fellow/Ph.D. student. The award will be 800 CHF for each winner, with two winners in total. Please apply by clicking the link below before 1 June, 2020. The winners will be announced on 30 June, 2020. https://www.mdpi.com/journal/computers/awards/submit/876 Kind regards, Computers Editorial Office -- Mr. Blink Yu Managing Editor E-Mail: blink.yu(a)mdpi.com Skype: live:c91693ac8277e1f0 -- MDPI Wuhan Office No.6 Jingan Road, 430064 Wuhan, China MDPI Postfach, CH-4020 Basel, Switzerland http://www.mdpi.com -- Disclaimer: MDPI recognizes the importance of data privacy and protection. We treat personal data in line with the General Data Protection Regulation (GDPR) and with what the community expects of us. The information contained in this message is confidential and intended solely for the use of the individual or entity to whom they are addressed. If you have received this message in error, please notify me and delete this message from your system. You may not copy this message in its entirety or in part, or disclose its contents to anyone.

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DEADLINE 18th March, CfP - Special session - Hybrid Life III, ALife 2020
by Manuel Baltieri March 12, 2020

March 12, 2020

[Apologies for cross-posting] ********** Call for Papers - Deadline 18th March ********** Special session - Hybrid Life III: Approaches to integrate biological, artificial and cognitive systems https://sites.google.com/view/hybrid-life-iii/ <https://sites.google.com/view/hybrid-life-iii/> 2020 Artificial Life conference (ALife) Montreal, Canada, 13-18th July 2020 - http://2020.alife.org/ <http://2020.alife.org/> --------------------------------------------------------------------------------------------- DESCRIPTION: The main focus of ALife research is the study of natural and artificial systems with the goal of understanding what life is. More concretely, ALife defines ways to investigate processes that contribute to the formation and proliferation of living organisms. In this session we focus on three common approaches to tackle this investigation, proposing ways to integrate, extend and possibly improve them. More specifically we refer to: 1) the formalisation of the necessary properties for the definition of life, 2) the implementation of artificial agents, and 3) the study of the relation between life and cognition. For this special session we propose to start from these well-established Alife methodologies, and extend them through: a unified formal language for the description and modelling of living, as well as artificial and cognitive systems, e.g. control theory, Bayesian inference, dynamical systems theory, etc., the exploration of biological creatures enhanced by artificial systems (or artificial systems augmented with organic parts) in order to investigate the boundaries between living and nonliving organisms, and the evaluation of coupled biological-artificial systems that could shed light on the importance of interactions among systems for the study of living and cognitive organisms. This special sessions aims to invite contributions from the fields of psychology, computational neuroscience, HCI, theoretical biology, artificial intelligence, robotics and cognitive science to discuss current research on the formalisation, combination and interaction of artificial/living/cognitive systems from theoretical, modelling and implementational perspectives. Potential topics include, but are not limited to: Formalisation of life and cognition (e.g. dynamical systems theory, stochastic optimal control, Bayesian inference, etc.) Cognitive robotics Autopoiesis Life-mind continuity thesis Systems biology Origins-of-life theories with relationships to artificial and cognitive systems Animal-robot interaction Bio-inspired robotics Bio-integrated robotics Human-machine interaction Augmented cognition Sensory substitution Interactive evolutionary computation Artificial perception Important Dates 18th March 2020 – Paper submission deadline 17th April 2020 – Paper acceptance notification 17th May 2020 – Camera-ready version 13th-18th 2020 – Artificial Life conference (ALife), Montreal, Canada Paper Submission Papers and abstracts submitted to this special sessions will be reviewed by a selected group of experts from the ALife community as well as from other areas key to our proposal, specifically chosen for this review process. If you are submitting to a special session you will be given the opportunity to select it during the submission process. Submissions to special sessions follow the same format, instructions and deadlines of regular ALife papers. Organizers Manuel Baltieri, RIKEN Centre for Brain Science, Saitama, Japan Keisuke Suzuki, University of Sussex, Brighton, UK Hiroyuki IIzuka, Hokkaido University, Sapporo, Japan Olaf Witkowski, Cross Labs, Tokyo, Japan Lana Sinapayen, Sony Computer Science Laboratories, Tokyo, Japan Contacts For questions, enquiries and more information please check our website https://sites.google.com/view/hybrid-life-iii/ <https://sites.google.com/view/hybrid-life-iii/> or get in touch with manuel.baltieri [at] riken.jp <http://riken.jp/>. All the best, -- Manuel Baltieri Postdoctoral Research Fellow Lab. for Neural Computation and Adaptation RIKEN CBS, Saitama, Japan www.manuelbaltieri.com <https://manuelbaltieri.com/> Twitter: @manuelbaltieri

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US CCDC Army Research Lab: Post-doc & Research Coordinator positions available
by Kristen Flaherty March 11, 2020

March 11, 2020

To professional or aspiring researchers, A *postdoctoral scholar *and *full-time research coordinator* position are available to work on an DoD-funded study using multimodal neuroimaging to examine the neurobehavioral dynamics of decision making in teams. The successful applicant will be actively involved in study design, neuroimaging protocol design and calibration, behavioral neuroimaging data collection and data analysis, and writing up manuscripts and publishing. Any questions or requests for more information regarding either of these positions can be directed to Dr. Lauharatanahirun at nina.lauharatanahirun.civ(a)mail.mil. *Interested individuals should submit applications via this link: * https://www.zintellect.com/Opportunity/Details/ARL-R-HRED-300047. Review of applications will begin immediately and will continue until the positions have been filled. Thank you, Nina Lauharatanahirun, PhD *U.S. Army Research Laboratory*, HRED, Future Soldier Technologies Division, Integrated Capability Enhancement Branch Email: nina.lauharatanahirun.civ(a)mail.mil

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CFP Deadline Extension - 10th IEEE International Conference on Development and Learning (ICDL), Valparaiso Chile
by Nicolás Navarro-Guerrero March 10, 2020

March 10, 2020

Due to the COVID-19 outbreak, which has directly or indirectly affected countries how typically are well represented at the conference, we are extending the deadline submission. The health and safety of our conference participants is our top priority. Therefore, we are closely monitoring any travel advisories and governmental recommendations. Please check our website where we will post any relevant information as quickly as possible. CALL FOR PAPERS DEADLINE EXTENDED: 10th IEEE International Conference on Development and Learning (ICDL) An IEEE Computational Society-sponsored conference (This is the follow-up of the previous ICDL-EpiRob conference series) 7th-10th September 2020, Valparaiso, Chile https://cdstc.gitlab.io/icdl-2020/ ==== Important Dates ==== Submission deadline: 15th March 2020 -> New deadline: 12th April 2020 Author notification: 15th May 2020 -> moved to 31st of 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 Kind regards on behalf of the Organizing Committee, -- Nicolás Navarro-Guerrero Assistant Professor Department of Engineering, and School of Culture and Society Aarhus University, Denmark E-mail: nng(a)eng.au.dk https://au.dk/en/nng@eng.au.dk https://nicolas-navarro-guerrero.github.io/ Aarhus University Finlandsgade 22, building 5125 8200 Aarhus N Denmark Tel.: +45 8715 0000 eng(a)au.dk www.eng.au.dk/en/ -- Best regards, Nicolás -- Nicolás Navarro-Guerrero https://nicolas-navarro-guerrero.github.io/

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Research scientist or postdoctoral fellow in Montpellier (France)
by Anne Beuter March 10, 2020

March 10, 2020

Application is now open for a research scientist or postdoctoral fellow in Montpellier (France) A new company is seeking a research scientist or postdoctoral fellow to work on (1) EEG data collection and analysis and (2) noninvasive brain stimulation in human subjects. CorStim SAS, a startup created in 2019 and located in Montpellier is developing a new therapeutic approach for the treatment of poststroke chronic aphasia. The candidate must have a PhD in neuroscience, neuropsychology, biomedical engineering, or in a relevant field, with experience in data collection, analysis and brain stimulation in human subjects. The position is for 1 year, renewable, with a possibility of a permanent position. The salary will be based on experience. The position is open until filled. The candidate will work in close collaboration with members from the academic, medical and private sectors. Fluent technical English is a must and speaking French is a plus. Expertise in Matlab preferred. To apply send a letter of motivation, a CV, and arrange for two letters of reference to be sent to Prof Anne Beuter : anne.beuter(a)wanadoo.fr <mailto:anne.beuter@wanadoo.fr>.

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MBL Methods in Computational Neuroscience Course - deadline March 16
by Stephen A. Baccus March 9, 2020

March 9, 2020

Applications are open for the Methods in Computational Neuroscience course at the Marine Biology Laboratory in Woods Hole, MA. The course will run from August 2 to August 28, 2020, and the online application form can be found at: https://ws2.mbl.edu/studentapp/studentapp.asp?courseid=MCN The course application deadline is *March 16*. The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. Further information can be found on the MCN website: http://www.mbl.edu/mcn/ 2020 Course Directors: Stephen Baccus, Stanford University Xiao Jing Wang, New York University 2020 Faculty: Larry Abbott, Columbia University Emery Brown, MIT Randy Buckner, Harvard University Dmitri Chklovskii, Simons Institute Claudia Clopath, Imperial College London Shaul Druckmann, Stanford University Uri Eden, Boston University Bard Ermentrout, U. of Pittsburgh Adrienne Fairhall, U. of Washington James Fitzgerald, Janelia Res., HHMI Loren Frank, UCSF Michale Fee, MIT Stefano Fusi, Columbia University Surya Ganguli, Stanford University Juliana Gjorgjieva, Max Planck Institute Mark Goldman, UC Davis Nancy Kopell, Boston University Eve Marder, Brandeis University Bartlett Mel, Univ. of Southern California Liam Paninski, Columbia, U. David Redish, U. Minnesota Robb Rutledge, Yale University Terry Sejnowski, Salk Institute Mike Shadlen, Columbia U. Reza Shadmehr, Johns Hopkins Univ. Sara Solla, Northwestern University Haim Sompolinsky, Hebrew University Nelson Spruston, Janelia Research Campus Josh Tenenbaum, MIT Nao Uchida, Harvard University David Van Essen, Washington University Greg Wayne, DeepMind

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2nd CfP, Deadline Extension, 29th International Conference on Artificial Neural Networks ICANN 2020, Sept 15-18, Bratislava, SK
by Paolo Masulli ENNS March 9, 2020

March 9, 2020

29th International Conference on Artificial Neural Networks ICANN 2020 https://e-nns.org/icann2020 *Bratislava, Slovakia** **15 - 18 September 2020* ============================================================ *2nd Call For Papers, Submission Deadline Extended: 31 March * The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2020 the Faculty of Mathematics, Physics and Informatics (FMPI), Comenius University in Bratislava, together with the Slovak Society for Cognitive Science, organize the 29th ICANN Conference from the 15th to the 18th of September 2020 in Bratislava, Slovakia. *CONFERENCE TOPICS* ICANN 2020 is a dual-track conference featuring tracks in Brain Inspired Computing and Machine Learning and Artificial Neural Networks, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes: Machine Learning: Deep Learning, Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models, Recurrent Networks. Brain Inspired Computing: Cognitive models, Computational Neuroscience, Self-organisation, Reinforcement Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics. Neural Applications for: Bioinformatics, Biomedicine, Intelligent Robotics, Neurorobotics, Language Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks. *CALL FOR CONTRIBUTED SCIENTIFIC COMMUNICATIONS* All scientific communications presented at ICANN 2020 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature two categories of communications: - oral communications (15'+5') - poster communications Call for Special Sessions: ICANN2020 organizers cordially invite internationally recognised experts to organise Special sessions and workshops within the general scope of the conference. Special Session Proposal request should be sent to icann2020(a)fmph.uniba.sk Call for Papers: Authors willing to present original contributions in either oral or poster category may submit: - A *full paper* of about 10-12 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series with individual DOI. - An *extended abstract* of suggested 4 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series, without indexing. The number of oral slots is limited. In case the number of requested oral presentations is larger than the available slots the ICANN scientific committee will select which papers will be reassigned to a poster session. This selection will be based on the coherence of the programme and is totally independent of the category of submission. Submission of communications will be online. More details will be made available soon on the conference website: https://e-nns.org/icann2020/ *IMPORTANT DATES* *Deadline for full papers and extended abstracts submission: EXTENDED to 31 March 2020* Notification of acceptance: 31 May 2020 Camera-ready paper upload and registration opening: 15 June 2020 Deadline for early registration at discount rate: 15 June 2020 Conference dates: 15-18 September 2020 *BEST PAPER AWARDS* ENNS will sponsor a maximum of four best paper awards, two in the Brain Inspired Computing track (one poster and one oral communication) and, analogously, two in the Machine Learning Research track. All awards will be presented during the final ceremony. *TRAVEL GRANTS* The European Neural Network Society sponsors a number of Student Travel Grants covering part of the costs for attending ICANN. Details will be provided on the conference website. *ORGANISATION* General Chairs: Igor Farkaš (FMPI, Comenius University in Bratislava, Slovakia) Ľubica Beňušková (FMPI, Comenius University in Bratislava, Slovakia) Organising Committee Chairs: Juraj Bánovský (FMPI, Comenius University in Bratislava, Slovakia), Alessandra Lintas (ENNS Lausanne, Switzerland) Honorary Chairs: Stefan Wermter, University in Hamburg, Germany (ENNS President) Věra Kůrková, Czech Academy of Sciences, Prague, Czechia (past ENNS President) Publicity Chair: Kristína Malinovská (FMPI, Comenius University in Bratislava, Slovakia) Communication Chair: Paolo Masulli (Technical University of Denmark, ENNS)

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Bilbao Neuroscience and Computational Biology workshop (BioNCB'20): 27th-29th May 2020
by Serafim Rodrigues March 7, 2020

March 7, 2020

Dear all, We are happy to announce the 1st Bilbao Neuroscience and Computational Biology workshop (BioNCB'20) which will take place in Bilbao (Spain) at the Basque Center for Applied Mathematics (BCAM) from the 27th to the 29th May 2020. This 3-day international workshop aims at presenting recent exciting advances and challenges in Neuroscience and Computational Biology: Mathematical modelling, Data Analysis and Experiments. Confirmed speakers are leading experts, which will stimulate discussions at the interface of the aforementioned subjects. *—**—**—**—**—**—**—**—* *Plenary speakers* *—**—**—**—**—**—**—**—* Karl Friston (University College London, UK) Misha Tsodyks (Institute for Advanced Studies, Princeton, USA) Alain Destexhe (UNIC Lab, CNRS, France) Hugues Berry (Inria Rhône Alpes, France) Maria V Sanchez-Vives (IDIBAPS, Barcelona, Spain) *—**—**—**—**—**—**—**—* *Invited speakers* *—**—**—**—**—**—**—**—* Daniele Avitabile (VU Amsterdam, Netherlands) Paolo Bonifazi (Biocruces-Bizkaia Health Research Institute, Barakaldo, Spain) Jesus M Cortes (Biocruces-Bizkaia Health Research Institute, Barakaldo, Spain) Anda Degeratu (Universität Stuttgart, Germany) Juan Manuel Encinas (Achucarro - The Basque Center for Neuroscience, Leioa, Spain) Héctor García Martin (UC Berkeley, USA) Jordi Garcia-Ojalvo (Universitat Pompeu Fabra, Barcelona, Spain) Toni Guillamon (Universitat Politècnica de Catalunya, Barcelona, Spain) Mazahir T Hasan (Achucarro - The Basque Center for Neuroscience, Leioa, Spain) Mauricio Rincón Bonilla (BCAM, Bilbao, Spain) Nathalie Rouach (Collège de France, Paris, France) Susanne Schreiber (Humboldt-Universität zu Berlin, Germany) Antonio E Teruel (Universitat de les Illes Baleares, Palma de Mallorca, Spain) Yulia Timofeeva (University of Warwick, UK) Pablo Varona (Universidad Autónoma de Madrid, Spain) *—**—**—**—**—**—**—**—**—**—**—**—**—**—* *Call for poster presentations* *—**—**—**—**—**—**—**—**—**—**—**—**—**—* We are welcoming contributions for poster presentation. We will have two 1-hour poster sessions on the first and second morning of the meeting. This will give opportunities to students, postdocs and junior colleagues to present their work, get good exposure to foster discussions early on in the meeting. *Registration and submission deadline for posters: 31 March 2020* *For more informations about poster submission and registration*, please visit the workshop's webpage: https://wp.bcamath.org/bioncb20/ We are looking forward to your contributions and to seeing you in Bilbao! *The organizing committee,* Serafim Rodrigues (BCAM), Mathieu Desroches (Inria), Elena Akhmatskaia (BCAM), Andrea Guidolin (BCAM) and Jone Uria Albizuri (BCAM).

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Research assistant position in the Gershman lab at Harvard
by Sam Gershman March 5, 2020

March 5, 2020

The Computational Cognitive Neuroscience Lab at Harvard University, led by Professor Sam Gershman, is seeking a full-time Research Assistant to work on a series of projects on longitudinal computational phenotyping. The research assistant will gain experience with all aspects of the research process, which could serve as a launch pad to graduate studies. More details here: https://sjobs.brassring.com/TGnewUI/Search/Home/Home?partnerid=25240&siteid… Please note that due to regulations only U.S. citizens or permanent residents can be hired for this position.

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Coordinator position for the Helmhotz Metadata Collaboration (HMC)
by Michael Denker March 5, 2020

March 5, 2020

Forschungszentrum Jülich is looking for a Scientific Coordinator who will participate in setting up and coordinate the Hub Information of the Helmhotz Metadata Collaboration (HMC) at Forschungszentrum Jülich. The aim of the HMC Platform, which is currently being set up, is to develop and establish novel concepts and services to ensure that research data is enriched with metadata making it accessible and reusable for future applications. At Forschungszentrum Jülich, a Metadata Hub will be established as part of HMC, which is anchored in the Helmholtz Association`s research field of Information. More details regarding the position and the application procedure can be found here: https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2020-060-E… Application deadline is March 22 2020. ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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 Jagiellonian University in Kraków
by Daniel Wójcik March 5, 2020

March 5, 2020

A postdoctoral position is available at Jagiellonian University in Krakow for up to 36 months starting preferably on May 1st. The postdoc will work in one of two projects. The goal of the first is to develop point process models of neuronal spiking activity that could effectively describe adaptive processes including learning but also different types of modulation (e.g. brain-stem modulatory effects on visual information processing, etc.). The postdoc will develop abstract models, estimation methods, implement them in software, and use developed software and methods to analyze data from experimental partners after testing them on simulated data. The goal of the second project is building reinforcement learning models of behavior and development of estimation methods and tools. The focus is on rodent behavior in intelligent cages, such as IntelliCage or Eco-HAB, and taking into account individual and group learning aspects. The postdoc will develop abstract models, estimation methods, implement them in software, and use developed software and methods to analyze data from experimental partners after testing them on simulated data. The position is open within the group led by prof. Daniel Wójcik. The position is based in Cracow within the bioNN project but the researcher will also be a member of the distributed Warsaw-Cracow Neuroinflab, and will be expected to participate regularly in meetings in Warsaw every few weeks. More details: https://euraxess.ec.europa.eu/jobs/496088 http://bionn.matinf.uj.edu.pl/ Daniel Wójcik -- Prof. Daniel K. Wojcik Laboratory of Neuroinformatics, Head Graduate School, Head Nencki Institute of Experimental Biology 3 Pasteur St, 02-093 Warsaw, Poland tel: (+48 22) 5892348 fax: (+48 22) 8225342 skype: danek8317 http://neuroinflab.pl/ http://orcid.org/0000-0003-0812-9872

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5th Workshop on Molecular Communications in Tampere, Finland, on May, 18th-20th, 2020
by Kerstin Lenk March 5, 2020

March 5, 2020

Dear Madam or Sir, The 5th Workshop on Molecular Communications ( https://molecularcommunications.eu/) will be held in Tampere, Finland, on May, 18th-20th, 2020. Building on the success of the previous four workshops, this workshop will act as a hub of knowledge exchange of Molecular Communication Research in Europe with a focus on broadening the reach of the community into border disciplines. Disciplines we wish to attract include (but are not limited to): - Synthetic Biology - Systems Biology - Pharmacology - Inter/Intra Cellular Communication - Chemical Networks - Communication Engineering The workshop will deliver three profile keynote speeches in multidisciplinary topics and incorporates two focused tutorials aimed at young researchers. Moreover, the workshop will run three technical sessions focusing on emerging hot topics and will host three panel sessions. Please find some general information about the workshop in the attached PDF. Thank you very much for your consideration! With kind regards, Kerstin Lenk -- Dr. Kerstin Lenk Academy of Finland Postdoctoral Researcher Computational Biophysics and Imaging Group (CBIG)Faculty of Medicine and Health Technology BioMediTech, Tampere University Arvo Ylpön katu 34 33520 Tampere Finland Phone: +358 50 447 8470 E-mail: kerstin.lenk(a)tuni.fi Twitter: https://twitter.com/astrocytenet Website: https://research.tuni.fi/cbig/ *Human Potential Unlimited. *

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Faculty and senior postdoc positions at University of Tokyo
by Mingbo Cai March 5, 2020

March 5, 2020

How does human intelligence arise? Can we create artificial intelligence to extend or complement human intelligence? The International Research Center for Neurointelligence (IRCN) at The University of Tokyo was recently launched to solve these challenges under the World Premier International (WPI) Research Initiative of Japan. International Research Center for Neurointelligence, The University of Tokyo, Japan, has now open positions for highly motivated Senior Postdoctoral Research Fellows and Open-Rank Faculty (Assistant, Associate, and Full Professor). You will have access to our world-class technologies and facilities, extensive global collaboration networks, and vibrant international environment. In addition to independent research, successful candidates will endeavor to bridge disciplines as key computation members in our highly collaborative Team Science ecosystem. Current research themes include attention, prediction, intrinsic activity, social intelligence, autism, psychosis risk, multi-scale imaging, and critical period mechanisms. Senior postdoctoral fellows will have scientific independence and a career path to positions in industry and academia. We strongly encourage applications from international and female candidates to further enhance our diverse environment. The official language of IRCN is English and bilingual support is provided for life in cosmopolitan Tokyo. https://ircn.jp/en/careers/20200225-projectprofessor Mingbo Cai International Research Center for Neurointelligence University of Tokyo

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Two Post-Docs position @University of Padova on "Personalized whole brain models for neuroscience: inference and validation"
by Samir Suweis March 4, 2020

March 4, 2020

TWO OPENINGS FOR POST-DOC POSITIONS Two post-doc calls have been opened (see details below) in the context the following project funded by the Department of Information Engineering, University of Padova: Title of the project Personalized whole brain models for neuroscience: inference and validation Abstract of the project: Contemporary neuroscience has embraced network science to study the complex and self- organized structure of the human brain, with the promise of addressing key societal issues such as neural degeneration and treatment of neurological and psychiatric diseases and damages. These objectives will be pursued in this highly interdisciplinary project following a data-driven model based approach: our final goal is to design novel algorithmic solutions for data-driven inference of whole-brain mesoscale dynamical models as well as to develop and validate (or invalidate) models based on both data driven as well as methodological studies. Ideally, these models should provide solid grounds to develop (i) novel individual-level features for predicting cognitive and behavioral deficits originated by brain lesions or neuro- degeneration and (ii) simulation tools for designing personalized treatments such as stimulation. Team: The post-docs will work in an interdisciplinary team composed of Engineers, Psychologists, Neurologists and Physicists Salary: Approx. 25Keuro/year gross Duration: 20 months (can possibly be extended to 32 months) Opening date: approx. March 2nd, 2020 Closing date: approx. April 2nd, 2020 Link PostDoc#1: https://www.dei.unipd.it/node/26525 Link PostDoc#2: https://www.dei.unipd.it/node/26510 Contacts: Prof. Alessandro Chiuso Department of Information Engineering University of Padova chiuso(a)dei.unipd.it Prof. Alessandra Bertoldo Department of Information Engineering University of Padova bertoldo(a)dei.unipd.it POST DOCTORAL POSITION # 1 TITLE: Development and analysis of novel models and methods for effective connectivity in whole-brain network models Activity: The Post-Doc will develop and refine algorithms for estimation of effective connectivity models from neuroimaging data (fMRI) providing also an in-depth comparison between different classes of methodologies (e.g. DCM-like models and “Granger’’ causality type models). He/she will also actively collaborate in the validation studies and work in close interaction with the external collaborators (neurologists, neuroscientists, physicists). Profile: The ideal candidate should have a recent PhD in engineering, applied mathematics/physics, statistics, computer science, and related fields. He/she must have demonstrated experience in complex system modeling and advanced analytic techniques (e.g. multivariate approaches, machine learning, graph theory etc.). Strong analytical/mathematical skills are a requirement. Experience in one or more areas of neuroimaging will be plus. Programming skills (C, C++, Python, Matlab) are not a prerequisite, but a clear advantage. Moreover, the candidate must be highly motivated and creative individual with the ability to work in a dynamic, multi-disciplinary research environment and be willing to interact with both experimental and theoretical neuroscientists. POST DOCTORAL POSITION # 2 TITLE: Analysis and validation of novel models and methods for effective connectivity in whole-brain network models Activity: The activities will be mainly related to the preprocessing and analysis of neuroimaging data as well as validation, via systematic statistical testing, of effective connectivity models on animal data as well as on stroke patients. In particular, the post-doc will be involved in the design of experiments and conduct human neuroimaging research on normal brain organization and changes in network architecture among patients with stroke, with an emphasis on effective and functional connectivity network mapping. The post-doc will compare the human results with those he/she will obtain working with whole- brain rs-fMRI signals from the animal model. Profile: The position is open to recent PhDs in applied mathematics/physics, computer science, engineering, statistics and related fields, with demonstrated ability to conduct high impact research. The successful applicant will have expertise in anatomical MRI, dMRI and/or rs-fMRI analysis, familiarity with control theory and system identification, time-series analysis, statistics and graph theoretic and network modeling. Expertise in vivo electrophysiology signals analysis is also desirable. Experience with neuroimaging analysis programs (ANTs, FSL, SPM, FreeSurfer or other relevant programs), and strong knowledge on programming (e.g. good command of scripting, Python and Matlab) is also expected. Clearly, the successful candidate will be part of a diverse and multidisciplinary group including engineers of different specialties, neuroscientists, physicists, therefore a strong attitude and flexibility in team-working are required to foster cross-breeding and fertilization among the different disciplines involved in the project.

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Google Summer of Code: open source models of cortical networks
by Gleeson, Padraig March 4, 2020

March 4, 2020

--Apologies for cross-posting-- Google Summer of Code<https://summerofcode.withgoogle.com/> is an initiative to encourage students to contribute to open source software projects. Generous stipends are provided for successful applicants to work on these projects for a number of months over the summer. The INCF<http://incf.org/> has been a GSoC mentoring organisation for the past number of years, and has helped link up students with mentors to advance various projects in the wider neuroinformatics and computational neuroscience areas. The Open Source Brain initiative<http://www.opensourcebrain.org> is encouraging students to apply to be part of this. The successful candidate for our our proposal<https://neurostars.org/t/gsoc-2020-project-idea-10-open-source-cross-simula…> will take published models of cells and networks from the cortex and convert them into open, standardised formats (e.g. NeuroML and PyNN) and share them on the OSB platform as a resource for the wider community. These can be models where code is available in simulator specific formats on ModelDB, or classic models from the literature which would benefit from curating/updating/documenting. Making models available in these formats will allow them to be used & tested across multiple simulators, make the physiological properties of the models more accessible and facilitate reuse of model components. This opportunity is particularly relevant for Masters & PhD students currently working in model development/analysis in computational neuroscience. Many students are already reusing/converting/updating existing models as part of their work and this is a great opportunity to get paid extra to do this! Closing date for student applications: 31st March 2020 Period of working on projects: 18 May - 17 August 2020 More information on the cortical modelling project can be found here<https://neurostars.org/t/gsoc-2020-project-idea-10-open-source-cross-simula…>. There is another OSB project related to sharing data in Neurodata Without Borders format here<https://neurostars.org/t/gsoc-2020-project-idea-31-osb-conversion-of-public…>. Multiple other project ideas from other neuroinformatics and computational neuroscience initiatives (including The Virtual Brain, Brian, LORIS, GeNN, SciUnit, PyNN, OpenWorm) can be found on the INCF project ideas page<https://neurostars.org/c/gsoc>. ----------------------------------------------------- Padraig Gleeson Room 321, Anatomy Building Department of Neuroscience, Physiology& Pharmacology University College London Gower Street London WC1E 6BT United Kingdom +44 207 679 3214 p.gleeson(a)ucl.ac.uk<mailto:p.gleeson@ucl.ac.uk> -----------------------------------------------------

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Call for Papers :International Conference on Artificial Intelligence and Big Data (AIBD 2020)
by Fredrick Johnson March 4, 2020

March 4, 2020

International Conference on Artificial Intelligence and Big Data (AIBD 2020) April 25~26, 2020, Copenhagen, Denmark https://acsty2020.org/aibd/index.html Call for Papers International Conference on Artificial Intelligence and Big Data (AIBD 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Artificial Intelligence and Big Data. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Artificial Intelligence and Big Data. Topics of interest include, but are not limited to, the following Artificial Intelligence * AI Algorithms * Artificial Intelligence Tools and Application * Computational Theories of Learning * Data Mining and Machine Learning Tools * Fuzzy Logic * Heuristic and AI Planning Strategies and Tools * Hybrid Intelligent System * Intelligent System Architecture * Knowledge Representation * Natural Language Processing * Knowledge-based Systems * Neural Networks * Pattern Recognition * Reasoning and Evolution * Recent Trends and Developments of AI, Big Data * Robotics Big Data * Big Data Techniques, models and algorithms * Big Data Infrastructure and platform * Big Data Search and Mining * Big Data Security, Privacy and Trust * Big Data Applications in AI, Bioinformatics, Multimedia etc * Big Data Tools and systems * Big Data Mining and AI * Big Data Management * Cloud and grid computing for Big Data * Machine Learning and AI for Big Data * Big Data Analytics and Social Media * 5G and Networks for Big Data Paper Submission Authors are invited to submit papers through the conference Submission System by March 07,2020. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from AIBD 2020, after further revisions, will be published in the special issue of the following journal. * Machine Learning and Applications: An International Journal (MLAIJ) * International Journal of Artificial Intelligence & Applications (IJAIA) Important Dates Submission Deadline : March 07, 2020 Authors Notification : April 10, 2020 Registration & camera -- Ready Paper Due : April 15, 2020 Contact Us Here's where you can reach us : aibd(a)acsty2020.org or aibdconf(a)yahoo.com

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Cognitive Science Master program in Moscow Russia
by Cogito HSE March 4, 2020

March 4, 2020

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CNS*2020 Melbourne: Abstract DEADLINE EXTENDED
by Martin Zapotocky March 3, 2020

March 3, 2020

Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA* Call for Abstracts - Deadline Extension* *29th Annual Computational Neuroscience Meeting (CNS*2020)* Melbourne, Australia July 18--22, 2020 https://www.cnsorg.org/cns-2020-quick The CNS*2020 abstract submission deadline has been extended to *Wednesday, March 11* at 11:00 pm Pacific Time. Note that one of the authors *must register* as sponsoring author for the main meeting before abstract submission. *Travel awards up to 1,000 USD* are available for student and postdoc members of OCNS to attend the main meeting. Please note that an extended abstract is required when applying for a travel award or oral presentation format. *The Travel Award application deadline *coincides with the abstract submission deadline. For a statement on the Covid-19 outbreak and CNS*2020 registration, please see: <http://clicks.memberclicks-mail.net/ls/click?upn=0q9n39ErOfD80mnaMiQultun8I…>https://www.cnsorg.org/cns-2020-covid-19-updates Abstract Submission for the main meeting: https://www.cnsorg.org/cns-2020-abstract-submission The Call for Workshops remains open: https://www.cnsorg.org/cns-2020-call-for-workshops -- Martin Zapotocky, Ph.D. Institute of Physiology, Czech Academy of Sciences Videnska 1083 14220 Prague 4, Czech Republic URL:www.biomed.cas.cz/~zapotocky Tel: +420-241-062-708 Email:zapotocky@biomed.cas.cz Upozorneni: Neni-li v teto zprave vyslovne uvedeno jinak, ma tato E-mailova zprava nebo jeji prilohy pouze informativni charakter. Tato zprava ani jeji prilohy v zadnem ohledu ustavy AV CR, v.v.i. k nicemu nezavazuji. Text teto zpravy nebo jejich priloh neni navrhem na uzavreni smlouvy, ani prijetim pripadneho navrhu na uzavreni smlouvy, ani jinym pravnim jednanim smerujicim k uzavreni jakekoliv smlouvy a nezaklada predsmluvni odpovednost ustavu AV CR, v.v.i. Disclaimer: If not expressly stated otherwise, this e-mail message (including any attached files) is intended purely for informational purposes and does not represent a binding agreement on the part of Institutes of the Czech Academy of Sciences. The text of this message and its attachments cannot be considered as a proposal to conclude a contract, neither the acceptance of a proposal to conclude a contract, nor any other legal act leading to concluding any contract; nor does it create any pre-contractual liability on the part of Institutes of the Czech Academy of Sciences.

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2 PhD positions in the European Training Network project ENTRAIN-VISION in Prague
by Jan Antolik March 3, 2020

March 3, 2020

2 PhD positions are available in the European Training Network project ENTRAIN-VISION <http://www.entrain-vision.eu/> in Prague, within the Marie Sklodowska-Curie ETN - Early Stage Researcher (PhD) program. Blindness is the most feared handicap leading to the greatest exclusion from society by reducing patient autonomy and mobility. Clinical trials have demonstrated the possibility to regain some useful vision with retinal prostheses in patients having lost photoreceptors. New approaches are entering into clinical trials such as photovoltaic implants, optogenetic therapy and even cortical prostheses for patients having lost eye to brain connection. In the ENTRAIN-VISION <http://www.entrain-vision.eu/> project, the Early Stage Researchers (ESRs) will work on these innovative technologies for restoring vision in blind patients. Their training in academic institutes or industry will be completed by several secondments, including at least one at an industry partner. In addition, several summer schools will address scientific subjects on vision restoration and transferable skills in technology transfer, clinical trials, start-up creation, and communication to the media. At the Computational Systems Neuroscience Group (CSNG <http://antolik.net/>) at Charles University in Prague, we will address the problem of how to encode visual stimulus, such that the stimulation of the targeted visual processing stage (retina, thalamus or cortex) leads to perception of the given stimulus by the implanted subject. We will address this question via computational means, relying on both large-scale recurrent spiking neural network models of early visual system <https://www.biorxiv.org/content/biorxiv/early/2019/04/18/610378.full.pdf>, as well as novel <https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi…>deep neural network <https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi…> machine learning techniques. This way, we will inform the future design of the visual prosthetic devices and contribute to the information processing software that will run on the implanted hardware. What we offer: - Obtain a PhD from Charles University <https://cuni.cz/uken-1.html> in Prague. - Internships at technological innovators Innovatric <http://innovatrics.com/> and GoodAI <https://goodai.com/>, and 3 month secondment at another ENTRAIN-VISION <http://www.entrain-vision.eu/> partner (see attachments for full list). - Work in close collaboration with the leading vision restoration lab of Dr. Serge Picaud <http://www.institut-vision.org/en/retinal-information-processing-pharmacolo…> at the Institute de la Vision <http://www.institut-vision.org/>, Paris. - A full-time 3-year paid contract, starting September 2020. Main tasks and responsibilities: - Building and testing large-scale recurrent spiking neural network models of early visual system. - Extending these simulations with model of the prosthetic system, and calibrating the resulting simulation stack against physiological data provided by the project partners. - Developing encoding schemes for visual stimuli that will provide both accurate and efficient stimulation of the neural visual substrate. - Evaluating candidate encoding schemes in the simulation environment. - Finding efficient implementations of the selected encoding schemes in the low-powered prosthetic hardware. Skills and qualifications: - Bachelor (BSc) and Master (MSc) in Physics/Mathematics/Engineer/Neuroscience/Computer Science or related fields - Programming skills: Python. - Willing to learn new skills and work in teams - High level of English proficiency - Prior experience in neural modelling a plus For further information on all project partners, *how to apply* and *deadlines* please see attached documents. Ján Antolík <http://antolik.net/>, PhD -- Associate Researcher Computational Systems Neuroscience Group Faculty of Mathematics and Physics Charles University in Prague, Czech Republic

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CAMP at Bangalore 2020 Course application deadline extended
by U.S.Bhalla March 3, 2020

March 3, 2020

Dear Colleagues, The deadline to apply for CAMP at Bangalore 2020 has been extended till *March 10*. The course runs from 29 June 2020 to 14 July 2020. CAMP (Computational Approaches to Memory and Plasticity at NCBS, Bangalore) is a 16-day summer school where students will be trained in theoretical and computational modeling, pertaining to memory and plasticity in the brain, spanning different scales of space, time and complexity. This flavor of CAMP will focus on — *Hippocampus beyond Space, and Dimensionality & Manifolds*. The course will have lectures, hands-on tutorials, and project work to launch students into the exciting field of computational neuroscience. The course is supported by the Simons Foundation. Students worldwide are encouraged to apply. Accommodation and food will be free for the selected students. There is no registration fee. Students are advised to obtain independent travel grants. Application deadline: 10 March 2020, 11:59 PM IST Referee letters must reach by 12 March 2020, 11:59 PM IST *Speakers:* Aaron Batista, University of Pittsburgh, USA Alessandro Treves, SISSA, Italy Collins Assisi, IISER Pune, India Kishore Kuchibhotla, Johns Hopkins University, USA Marianne Fyhn, University of Oslo, Norway Sachin Deshmukh, IISc Bangalore, India Srdjan Ostojic, Ecole normale supérieure, France Suhita Nadkarni, IISER Pune, India Taro Toyoijumi, RIKEN, Japan Torkel Hafting, University of Oslo, Norway Visit the course website *http://camp.ncbs.res.in/* for more details about the course and previous CAMPs. Course Organizers: Arvind Kumar (KTH Stockholm) Rishikesh Narayanan (Indian Institute of Science, Bangalore) Upinder Bhalla (National Centre for Biological Sciences, Bangalore) Best, Organizing Committee CAMP 2020

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Special Issue on “Computational Models of M/EEG and Their Applications"
by Benedetta Franceschiello March 3, 2020

March 3, 2020

Dear colleagues, The call for papers for our special in Brain Topography on “Computational Models of M/EEG and Their Applications" - is out! The full call can be found here <https://www.springer.com/journal/10548/updates>. Please feel free to distribute this call to colleagues who you think might be interested, and do not hesitate to contact us with any questions. Important dates at a glance: - informal proposal to the guest editors* before *March 31st*, 2020 - manuscript submission from now until *June 15th*, 2020 **katharina.glomb(a)unil.ch <katharina.glomb(a)unil.ch>, benedetta.franceschiello(a)fa2.ch <benedetta.franceschiello(a)fa2.ch> and jlefebv3(a)uOttawa.ca <jlefebv3(a)uOttawa.ca> with “BTOP Special Issue Proposal” as the subject line* A list of topics include the following, though interested authors are encouraged to expand beyond them: *Computational models of M/EEG at the level of single cells and micro-circuits:* models of single-cell or ensemble activity of different types of neurons that are relevant to the analysis and modeling of M/EEG recordings. *Computational models of M/EEG at the level of neural masses and neural fields:* models of population dynamics and how they could determine specific features of the electrical activity recorded by M/EEG *Macroscopic computational models for M/EEG taking into account brain connectivity and/or gradients:* models investigating the contributions of brain connectivity and/or cortical gradients to global activity. *Applications of computational models of M/EEG:* how quantitative and qualitative measures extracted through computational models of M/EEG help to interpret behavioural or perceptual mechanisms, e.g.: brain stimulation, epilepsy, anesthesia, coma and disorders of consciousness, neuropsychiatric disorders, and brain-computer interfaces. Best regards, -- Benedetta Franceschiello, Ph.D. Postdoctoral Fellow Laboratory for Investigative Neurophysiology <https://www.unil.ch/line/en/home.html> UNIL and Department of Radiology RC7, Centre Hospitalier Universitaire Vaudois (CHUV) and Service of Ophthalmology Fondation Asile des Aveugles Tel: +41 787409774 Rue du Bugnon 46, CH-1011 Lausanne https://sites.google.com/view/benedettafranceschiello-phd/

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Job Opening at the Allen Institute for Brain Science: Computational Studies of Cortical Circuits
by Anton Arkhipov March 3, 2020

March 3, 2020

An exciting opportunity to work at the Allen Institute for Brain Science: Scientist I/II - Computational Studies of Cortical Circuits. Apply here: https://alleninstitute.org/what-we-do/brain-science/careers/job-search/ Follow the link above and choose "Scientist I/II - Computational Studies of Cortical Circuits" from the list of available positions. Please feel free to contact me with any questions: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org>. Scientist I/II - Computational Studies of Cortical Circuits The Allen Institute for Brain Science is seeking exceptional candidates for a position of Scientist in our Seattle-based, multidisciplinary organization. The Scientist will join the computational team of Anton Arkhipov and will focus on data analysis and modeling of structure, activity, and computations in mouse cortical circuits. Our computational team collaborates closely with experimentalists to build systematic classifications of structure and function of the mouse visual cortex based on high-throughput recordings in vitro (e.g., http://celltypes.brain-map.org and Gouwens et al., Nature Neurosci., 2019) and in vivo (e.g., https://portal.brain-map.org/explore/circuits and Siegle et al., bioRxiv 805010, 2019). Using systematically constructed models of neurons from diverse types (Gouwens et al., Nature Comm., 2018), we are building and simulating data-driven, highly realistic models of the mouse visual cortex (Arkhipov et al., PLOS Comp. Bio., 2018; Billeh et al., Neuron, in press, 2020; https://portal.brain-map.org/explore/models/mv1-all-layers) The team has also developed and disseminated the software enabling such modeling studies (https://alleninstitute.github.io/bmtk/ and https://github.com/AllenInstitute/sonata) Join us to analyze world-class experimental data and build the next generation of brain models. This work will enable mechanistic predictions regarding structure and function of cortical circuits and will drive new experiments. Job Responsibilities: * Collaborate with in-house experimentalists to analyze data from Neuropixels electrophysiology and/or 2-photon calcium imaging in the mouse brain, as well as electron microscopy connectomics. * Use these data to build and simulate models of cortical circuits, in order to study mechanisms connecting circuit structure and function. * Publish/present findings in peer-reviewed journals/scientific conferences. Required Qualifications: * PhD degree in Neuroscience, Physics, Applied Mathematics, or related fields. * Strong publication record. Preferred Qualifications: * Track record of scientific excellence and independent thinking. * Experience in computational neuroscience and/or systems neuroscience is preferred, but other strong applicants will be considered (with background in computational physics, biophysics, and related disciplines). * Candidates with strong background in experimental systems neuroscience, willing to switch to computational work, are encouraged to apply. * Experience with scientific programming (e.g., in Python) and sharing/collaborative development of software (e.g., GitHub) is a plus. It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities. Anton Arkhipov Associate Investigator T: 206.548.8414 [cid:image002.png@01D5F0BA.BCEF7290] www.alleninstitute.org<http://www.alleninstitute.org/>

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Quantitative Systems Pharmacology (QSP) positions (all levels) at Certara
by Hugo Geerts March 2, 2020

March 2, 2020

The Certara Quantitative Systems Pharmacology (QSP) group, a global organization focused on the impactful application of QSP and mechanistic PKPD modeling and simulation in drug discovery and development is seeking highly motivated and talented QSP modelling experts at all levels, who share our passion for using quantitative approaches to understand and impact complex drug discovery and development questions. Certara is now also the leading provider of QSP approaches in neuro-degenerative diseases through the recent acquisition of the In Silico Biosciences modelling platform. Full time positions are available at various levels of experience across our global locations and for flexible, home-based roles. We are looking for individuals with * Postdoctoral experience in systems modelling for drug discovery/ development teams. * PhD (or equivalent) in life sciences, engineering, computer sciences, mathematics physics or equivalent. * Good understanding of PKPD, pharmacology and biology and its application in drug discovery and development. * Very familiar and outstanding hands-on expertise with Matlab, Neuron or other similar modelling software. * Strong publication record (commensurate with level of experience). Team working * Excellent interpersonal skills. * Skilled and experienced at facilitating a multi-disciplinary team to work together on a complex project. * Ability to clearly and efficiently communicate with all stakeholders. * Organized and with track record of delivering quality results on time. Personal * Ability to work virtually with project teams across different locations and time zones. * Leads by example. * Self-reliant. Other skills * Highly computer literate and familiar with modern IT and communications technology. * Good presentation skills. * Combines scientific excellence with ability to make impact in drug discovery and development programs. * Ability to manage multiple client project timelines and deliverables simultaneously. Role (depending on experience) * Overall responsibility for project delivery of quality QSP solutions on time. * Provide hands-on technical support for model building when required. * Work with clients to ensure they receive the expected added value. * Work with the consortium/ consulting teams to ensure optimal deployment of resources. * Work with Certara QSP line management to deliver optimum solutions. * Provide general expert technical input across Certara QSP portfolio. * Mentor other Certara QSP staff. Further information about Certara : https://www.certara.com/ Closing Date for Applications: Midnight (UK time), 29th March 2020 Applications: Please send your CV, covering letter to the Certara Careers Page: https://workforcenow.adp.com<https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.htm…> NOTICE: The information contained in this electronic mail message is intended only for the personal and confidential use of the designated recipient(s) named above. This message may be an attorney-client communication, may be protected by the work product doctrine, and may be subject to a protective order. As such, this message is privileged and confidential. If the reader of this message is not the intended recipient or an agent responsible for delivering it to the intended recipient, you are hereby notified that you have received this message in error and that any review, dissemination, distribution, or copying of this message is strictly prohibited. If you have received this communication in error, please notify us immediately by telephone and e-mail and destroy any and all copies of this message in your possession (whether hard copies or electronically stored copies). Thank you. buSp9xeMeKEbrUze

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In-vivo two-photon imaging of synaptic proteins_Postdoc opportunity in Australia
by Patricio Opazo Olavarria March 2, 2020

March 2, 2020

Dear colleagues, There is an exciting postdoc opportunity to investigate the molecular basis of memory formation in the lab of Dr. Patricio Opazo and Dr. Victor Anggono at the Queensland Brain Institute in Brisbane, Australia. The project will involve implementing a visual discrimination go/no go task in awake mice under the two-photon microscope to visualize the dynamics of synaptic proteins during learning and memory in the visual cortex. For more information about this position please contact Dr Patricio Opazo on email p.opazo(a)uq.edu.au<mailto:p.opazo@uq.edu.au>. or Apply directly at the University of Queensland Jobs search here: http://search.jobs.uq.edu.au/caw/en/job/509656/postdoctoral-research-fellow Kind regards, Pato ********************************************************** Patricio Opazo, PhD Group Leader Clem Jones Centre for Ageing Dementia Research Queensland Brain Institute The University of Queensland Building 79, Upland Rd Brisbane Qld 4072 Australia T +61 7 3443 2485 M +61 (0)428 311 510 E p.opazo(a)uq.edu.au W qbi.uq.edu.au/opazogroup CRICOS code: 00025B [signature_1643568986] The University of Queensland is embracing the Green Office philosophy. Please consider the environment before printing this email. This email (including any attached files) is intended solely for the addressee and may contain confidential information of The University of Queensland. If you are not the addressee, you are notified that any transmission, distribution, printing or photocopying of this email is prohibited. If you have received this email in error, please delete and notify me. Unless explicitly stated, the opinions expressed in this email do not represent the official position of The University of Queensland.

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Postdoctoral Position in Computational Neuroscience, Barcelona, Spain
by Alex Roxin March 2, 2020

March 2, 2020

A. Roxin, Centre de Recerca Matemàtica, Bellaterra (Barcelona), Spain. Available immediately. Applications will be accepted until the position is filled. We are looking for a highly motivated researcher to study the network mechanisms underlying episodic memory formation in hippocampus. The project involves modelling as well as the analysis of electrophysiological and Ca-imaging data from mice. The ideal candidate has a strong background in math, physics or similar field. Experience in neuroscience is highly desirable but not required. To apply please send a CV, letter of interest, and contact information for two references to Alex Roxin at aroxin(a)crm.cat. Pre-application inquiries can be sent to the same address. -- Alex Roxin Computational Neuroscience Group Centre de Recerca Matemàtica Campus de Bellaterra, Edifici C 08193, Bellaterra (Barcelona) Spain https://sites.google.com/site/alexanderroxin/home

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PhD Position in Multilingualism/Psycholinguistics
by Narly Golestani March 1, 2020

March 1, 2020

With the launch of a new ‘NCCR Evolving Language’ (http://www.snf.ch/SiteCollectionDocuments/nfs/Faktenblatt_NCCR_evolvinglang…) which involves nearly 40 different research groups from a large variety of disciplines across Switzerland, we seek to fill a PhD position for a four-year project starting in May 2020, or at the selected candidate’s convenience. Our goal is to make progress in understanding language giftedness from cognitive, psychological and neural perspectives. To this end, we plan to carry out a set of studies involving both behavioral measures of cognitive and language-related abilities (e.g. auditory/perceptual abilities, phonemic perception and production, inductive learning, working memory etc) and brain imaging measures (fMRI and sMRI). The research group involves two PIs (Golestani, Geneva; and Berthele, Fribourg) and a postdoc. Data will be collected with Francophone (mono- and multilingual) subjects. Applicants should hold an MA degree in psychology, linguistics or a related field (e.g. psycholinguistics, applied linguistics, multillingualism), have a good command French and English and have strong quantitative research and statistics skills. Additional mastery of German and experience with neuroimaging techniques would be a strong advantage. The NCCR places great emphasis on gender diversity and we particularly encourage women to apply. Applicants may send a pdf file including a cover letter, a CV, names and contact information of 2-3 references as well as any other relevant documents to Narly.Golestani(a)unige.ch<mailto:Narly.Golestani@unige.ch> and Raphael.berthele(a)unifr.ch<mailto:Raphael.berthele@unifr.ch>. Deadline for application: March 31 2020 ----------------------------------------------------------------------------------------------------------------------------------------------------------------- Brain and Language Lab Prof. Narly GOLESTANI 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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Postdoc position at the University of Melbourne, Australia
by Anthony Burkitt March 1, 2020

March 1, 2020

Postdoctoral research fellow position in Neuroengineering / Computational Neuroscience at The University of Melbourne, Australia Applications close: 10 Mar 2020 11:55 PM Australian Eastern Daylight Time (UTC+11) http://jobs.unimelb.edu.au/caw/en/job/902247/research-fellow-in-neuroengine… We are seeking an emerging, self-motivated individual with the ability to work collaboratively with the team, as well as lead their own research activities, to contribute to a multidisciplinary project at the forefront between neuroscience, robotics and artificial intelligence. This is the perfect opportunity for anyone looking to develop a career in research and apply their mathematical skills to neuroscience. This role will work in The Bionics, Biomedical Imaging and Neuroengineering group, comprised of leading internationally recognised researchers. You will work on a multidisciplinary project on perception, navigation and spatial awareness, in which the insights and mechanisms from neuroscience and the modelling of neural systems, particularly of vision and other sensory systems, can be analysed and used to inspire applications in autonomous robots and other artificial systems. Regards, Tony Burkitt Professor Anthony N. Burkitt BSc (Hons) PhD Chair of Bio-Signals and Bio-Systems NeuroEngineering Laboratory, Department of Biomedical Engineering Melbourne School of Engineering The University of Melbourne, Victoria 3010 Australia T: +61 3 90353552 І M: +61 422 960 880 І E: aburkitt(a)unimelb.edu.au<mailto:aburkitt@unimelb.edu.au> W: www.eng.unimelb.edu.au<http://www.eng.unimelb.edu.au> http://www.bme.unimelb.edu.au

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Modellers Workshop for the Brain Dynamics Toolbox, 1-20 March 2020
by Stewart Heitmann Feb. 29, 2020

Feb. 29, 2020

Modeller’s Workshop for the Brain Dynamics Toolbox Online Course Mar 1-20, 2020 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. Course Website https://bdtoolbox.org/p/modellers-workshop/ Important Dates Early-bird enrolments ($100) close Sunday 8th March, 2020. Late enrolments ($125) close Friday 20th March, 2020. 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 Disclaimer The information contained in this communication from the sender is confidential. It is intended solely for use by the recipient and others authorized to receive it. If you are not the recipient, you are hereby notified that any disclosure, copying, distribution or taking action in relation of the contents of this information is strictly prohibited and may be unlawful. This email has been scanned for viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business. Providing a safer and more useful place for your human generated data. Specializing in; Security, archiving and compliance. To find out more visit the Mimecast website.

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COSYNE 2020: Live streaming
by Tomas Hromadka Feb. 29, 2020

Feb. 29, 2020

==================================================== 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 ==================================================== ---------------------------------------------------- LIVE STREAMING ---------------------------------------------------- Please note that tutorials and *selected* talks from Cosyne 2020 are streamed live on Cosyne youtube channel (https://www.youtube.com/channel/UCzOTbZTHTubFNjANAR33AAg) ---------------------------------------------------- COSYNE ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. For details on workshop proposals please see below or visit Cosyne.org -> Workshops. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. This year we would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. COSYNE INVITED SPEAKERS Matthew Botvinick (Deepmind/Princeton) Megan Carey (Champalimaud) John Cunningham (Columbia) Gul Dolen (Hopkins) Rainer Friedrich (FMI Basel) Sam Gershman (Harvard) Lisa Giocomo (Stanford) Christopher Harvey (Harvard) Mehrdad Jazayeri (MIT) Wei Ji Ma (NYU) Hendrikje Nienborg (Tuebingen/NIH) Linda Wilbrecht (Berkeley) Marta Zlatic (Janelia) ORGANIZING COMMITTEE General Chairs: Eugenia Chiappe (Champalimaud) and Christian Machens (Champalimaud) Program Chairs: Anne-Marie Oswald (U Pittsburgh) and Srdjan Ostojic (Ecole Normale Superieure Paris) Workshop Chairs: Catherine Hartley (NYU) and Blake Richards (McGill) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Robert Wilson (U Arizona) Diversity Chairs: Eva Dyer (Georgia Tech, Emory) and Eric Shea-Brown (U Washington) Publicity Chair: Adam Calhoun (Princeton) Development Chair: Michael Long (NYU) Tutorial Chair: Il Memming Park (Stony Brook) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ---------------------------------------------------- COSYNE MAILING LISTS ---------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details.

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PhD position in numerical methods for uncertainty quantification in large-scale brain activity
by Avitabile, D. Feb. 28, 2020

Feb. 28, 2020

The Department of Mathematics of Vrije Universiteit Amsterdam welcomes applications for a fully-funded, 4-year PhD student position in Computational Mathematics. In this project you will work on uncertainty quantification for large-scale brain dynamics under the supervision of Daniele Avitabile. The project lies at the intersection between mathematical neuroscience and computational mathematics. You will study and implement methods for spatio-temporal patterns in a novel class of neural field models, which are relevant to understand epileptic seizures, visual hallucinations and short-term working memory. You will be based in the Department of Mathematics at VU Amsterdam, and collaborate closely with Gabriel Lord, at Radboud University. The application deadline is the 19th of April 2020, and the starting date is the 1 September 2020, or earlier. Applications should be sent using the following link, which also contains further details on the advertised position workingat.vu.nl/ad/phd-position-in-uncertainty-quantification-for-large-scale-brain-dynamics/i462jk Informal enquires can be directed to Daniele Avitabile (d.avitabile(a)vu.nl) Daniele Avitabile Associate Professor in Applied Mathematics Vrije Universiteit Amsterdam www.danieleavitabile.com

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Postdoctoral position at Karolinska Institute
by Konstantina Kilteni Feb. 28, 2020

Feb. 28, 2020

We are excited to announce an opening postdoctoral position at our lab in Karolinska Institute, to work on touch and tickle perception during voluntary movements! The main research focus of our lab ( https://ki.se/en/neuro/kilteni-laboratory) concerns how we distinguish self-generated from externally generated sensations. To address this question, we combine psychophysics, neuroimaging (fMRI, EEG) and neurostimulation (TMS) techniques. *What we offer:* - Access to research-dedicated 3T MR scanner, TMS and EEG. - Access to multiple robotic setups to study force, touch and tickle perception, as well as to EMG and motion tracking devices. - A dynamic, interdisciplinary, and international research environment, full of expertise and curiosity. *Requirements:* - A PhD in neuroscience, cognitive science, psychology, biomedical engineering, computer science or a related discipline. - Experience in any of the project’s techniques (psychophysics, fMRI, TMS, EEG). - Keen interest in experimental approaches to study touch perception. - Motivation to work independently as well as in a team environment. Candidates will contribute to all steps of the research from literature review to implementation of study design, data collection, data analysis and preparation of manuscripts. The position is available for 1 year with the possibility for continuation for 1 more year, starting in May 2020 (with some flexibility on the starting date). An application should include a CV, a list of publications, a summary of current work and references. For further information, please follow the link: https://ki.varbi.com/what:job/jobID:320274/ Deadline of applications: *March 19th.* We are very curious and very excited about our research. *Join us!* ---------------------------------------------------------------------------- Konstantina Kilteni | Ph.D. Assistant Professor Department of Neuroscience | Karolinska Institutet Solnavägen 9 | 17165 Stockholm | Sweden http://orcid.org/0000-0002-6887-6434

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BCAM course on Statistical Physics of Neural Networks, Bilbao, Spain, May 11-15, 2020
by Maurizio De Pittà Feb. 28, 2020

Feb. 28, 2020

Dear colleagues, The Basque Center of Applied Mathematics (BCAM) in Bilbao, Spain, is hosting a 1-week course on "Statistical Physics of Neural Networks" by Yonatan Aljadeff (The Weizmann Institute of Science, Israel), during May 11-15, 2020. The course will consist of five lessons of 2-hour each in the morning, with the possibility to deepen the material taught in the class by frontal meetings with Dr. Aljadeff during the rest of the day. This is an excellent occasion to learn about some of the most advanced material in computational neuroscience. The course is tailored to students with a strong background in mathematics and physics, who are either at advanced undergraduate or graduate levels, as well as to students who are strongly interested in pursuing doctoral research in computational neuroscience. The program of the course is as follows: 1. Random matrices (RMT). The circular and elliptic laws. A statistical physics derivation of Girko’s circular law–the spectral density of an asymmetric random matrix; and the elliptic law–the spectral density for a random matrix with correlations. 2. Transition to chaos in random networks. Dynamic mean-field analysis (DMFT) of a neural network model with random synaptic weights. 3. Random networks with structure. Extension of the RMT and DMFT to partially random and partially structured systems, e.g. systems with cell-type dependent interactions, distance-dependent interactions, heterogeneous and correlated degree distributions, etc. 4. The classical perceptron. Gardner's calculation by Replica method of the capacity of a classical perceptron. 5. Perceptrons in neuroscience. Modern applications of perceptron theory: relating predictions of the synaptic weight distribution to empirical distributions; robustness to noise via excitation-inhibition balance; learning. Attendance to the course is free, but online registration is mandatory before May 8, 2020. There is also limited support available for Spanish and International students (outside of The Basque Country). Students who are willing to apply for financial support must register to the course before March 6, 2020, and indicate their will to apply for funding during the registration process. Registration and further information on the course may be retrieved from the link below: http://www.bcamath.org/en/courses/2020-05-11-bcam-course Thank you for your consideration. ----- Maurizio De Pitta' Research Fellow Research Line in Mathematical, Computational and Experimental Neuroscience BCAM -- Basque Center of Applied Mathematics https://sites.google.com/site/mauriziodepitta/home

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[Jobs] Early Stage Researchers (ERS) Positions in the EU-Marie Sklodowska-Curie ETN COBRA (COnversational BRAins)
by Alessandro D'Ausilio Feb. 28, 2020

Feb. 28, 2020

Applicants are invited for two Early Stage Researchers (ESR) of EU Marie Sklodowska-Curie Actions (MSCA) to be hosted at the Italian Institute of Technology (IIT). The positions are for a fixed-term of 3 years and the successful applicants are expected to register for PhD at the University of Ferrara, in Translational Neurosciences and Neurotechnologies. The two Early Stage Researchers (ESR) of COBRA H2020 project (G.A. N. 859588), an EU Innovative Training Network of MSCA involving 9 partners, which will train a group of 15 researchers that will be the next generation of researchers to accurately characterize and model the linguistic, cognitive and brain mechanisms deployed by human speakers in conversational interactions with human interlocutors as well as artificial dialog systems. ERS2 Objectives: When people are engaged in meaningful social interaction, they automatically and implicitly adjust their speech, vocal patterns and gestures to accommodate to others. Although these processes have extensively been explored at the behavioral level, very little is known about their neural underpinnings. Prior investigations have shown that suppression of alpha oscillations, overlaying sensorimotor regions, are a possible marker of action-perception coupling during non-speech (Tognoli & Kelso, 2015) and speech based (Mukherjee et al., 2019) interactive tasks. The project, by running dual-EEG recordings, will investigate if behavioral speech alignment translates into identifiable brain oscillatory markers. Key objectives are (i) to develop and validate metrics to quantify phonetic accommodation during natural speech interactions and (ii) to identify electrophysiological markers of between-speaker convergence. Expected results: - A computational pipeline, based on deep-learning methods, to extract phonetic accommodation patterns of speakers engaged in a meaningful social interaction; - A significant contribution to the field of hyper-scanning by exploring the neurophysiological correlates of phonetic convergence during conversations. Based in Ferrara, Italy Full-time three-year contract, starting September 2020 PhD enrolment at: University of Ferrara Main supervisor’s institution: Italian Institute of Technology Main supervisor: Prof. Alessandro D’Ausilio, Prof. Luciano Fadiga Secondments: - AMU (Aix-Marseille Universitè, France): making-up of linguistic material in both Italian and French, contribution to design of experimental set-up and to phonetic analyses (5,5 months); - HU-ZAS (Humboldt-Universität, Germany): Assessment of a repertoire of metrics for measuring phonetic convergence in conversational speech (5 months). Contact: alessandro.dausilio(a)iit.it <mailto:alessandro.dausilio@iit.it> ERS10 Objectives: For adults, mastering the segmental and supra-segmental aspects of a second language (L2) is particularly challenging. Although we know that such a capability is partially maintained during adulthood, we do not know yet how to facilitate effective and long-lasting L2 learning. This project is based on the hypothesis that when people engage in meaningful social interactions, they automatically and implicitly align at multiple levels (Pickering, Garrod, 2013), including the phonetic (Mukherjee et al., 2019) and the facial expression ones. ESR10 will tackle the fundamental scientific question of speech alignment in L2 and whether it drives long-lasting improvements in L2 skills. Key objectives are (i) to investigate the dynamics of alignment in L2 (English) and (ii) to quantify improvements when participants are engaged in a conversation with native speakers. Expected results: - Validation of a set of game-like tools to quantify L2 speech and facial movements alignment; - Exhaustive investigation of alignment in L2, its relation with L2 proficiency before training and long term retention of L2 improvements. Based in Ferrara, Italy Full-time three-year contract, starting September 2020 PhD enrolment at: University of Ferrara Main supervisor’s institution: Italian Institute of Technology Main supervisor: Prof. Alessandro D’Ausilio, Prof. Luciano Fadiga Secondments: - IISAS (Slovak Academy of Sciences, Slovakia): training on methods for analyzing acoustic-prosodic alignment in dialogues (5 months); - DAVI (DAVI, France): training on how to explore facial movement alignment in L2 (5,5 months). Contact: alessandro.dausilio(a)iit.it <mailto:alessandro.dausilio@iit.it> Contract The ESR will be contractually employed for 36 months by the main institution, and will be covered under the social security scheme of the enrolling country. The contract will be compliant with the applicable EC Marie Skłodowska-Curie Actions-ITN general conditions. Experience eligibility requirement: Eligible applicants must be in the first 4 years of their research careers (full-time equivalent research experience) at the date of the recruitment (measured from the time the Master’s degree has been obtained). Eligible applicants must not hold a Doctoral Degree yet. Mobility eligibility requirement: The fellow must not have resided and not have carried out their main activity (work, studies, etc.) in Italy for more than 12 months in the 3 years immediately prior to the recruitment date,. Selection process Applications must contain the following: • An up-to-date CV, without gaps, in order for the selection committee to easily check the mobility and experience requirements. CVs that either do not clearly show the applicant’s past experience, or have gaps, will be considered ineligible; • A letter exposing her/his motivation for a COBRA PhD fellowship, and her preference for two of the fifteen PhD projects proposed in COBRA; • At least 1 reference letter (in English) from one former supervisor and/or professor; • The scan of the degree (usually the master’s degree) which would formally entitles her/him to embark on a doctorate, either in the country in which the degree was obtained, or in the country in which the researcher will be recruited. If the degree has not been obtained yet, the applicant will have to provide a declaration of her/his university stating that the degree will be obtained before the expected starting date; • Transcripts of records (document indicating the applicant’s ranking and marks within her/his master’s degree as well as the courses/modules she/he has followed). • The complete application should be provided in the form of one single pdf file, named as follows: lastname-firstname.pdf. THE APPLICATION IS DONE VIA THE COBRA WEBPAGE: https://www.cobra-network.eu/ <https://www.cobra-network.eu/> DEADLINE: MARCH 31st 2020

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Scientific software developer position at the SimLab Neuroscience, Juelich, Germany
by Abigail Morrison Feb. 27, 2020

Feb. 27, 2020

Dear colleagues, We have another scientific software developer position available in the SimLab Neuroscience at the Juelich Supercomputing Centre, Juelich Research Centre, Germany. We are looking for candidates with a proven track record in developing scientific software who are interested in developing a modern HPC-amenable simulator for morphologically detailed neuronal networks, and engaging with the neuroscience community. For a full description and details of how to apply, please see the announcement on our website: https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2020-061-E… Closing date: 15 March 2020 All the best, Abigail Morrison -- Prof. Dr. Abigail Morrison IAS-6 / INM-6 / SimLab Neuroscience Jülich Research Center & Computer Science 3 - Software Engineering RWTH Aachen http://www.fz-juelich.de/inm/inm-6 http://www.fz-juelich.de/ias/jsc/slns http://www.se-rwth.de Office: +49 2461 61-9805 Fax # : +49 2461 61-9460 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Postdoc position available - computational modeling and real-time fMRI neurofeedback of language
by Narly Golestani Feb. 27, 2020

Feb. 27, 2020

With the launch of a new ‘NCCR Evolving Language’ (http://www.snf.ch/SiteCollectionDocuments/nfs/Faktenblatt_NCCR_evolvinglang…) which involves nearly 40 different research groups from a large variety of disciplines across Switzerland, we seek to fill a Postdoc position for a four-year project starting in May 2020, or at the selected candidate’s earliest convenience. Our goal is to make progress in understanding the importance of prosody in language processing. To this end, we plan to carry out a set of studies involving both computational modeling of fMRI data and real-time fMRI neurofeedback to understand the mechanisms whereby prosody and rhythm support linguistic processing per se. The computational modeling work will be an extension of our recent work on the neural encoding of acoustic information in speech sounds (https://www.ncbi.nlm.nih.gov/pubmed/31285622) The research will be done in the group of Narly Golestani (www.brainandlanguagelab.org<http://www.brainandlanguagelab.org>) in Geneva, in collaboration with researchers in Switzerland and abroad (Elia Formisano in Maastricht, and Frank Scharnowski in Vienna). Applicants should hold a degree in Biomedical Engineering, Computational Neuroscience, or a related field, and should have solid experience in human brain imaging, and ideally also in computational modelling (i.e. encoding / decoding) of fMRI data, real-time fMRI based neurofeedback, machine learning, statistics and programming. The NCCR places great emphasis on gender diversity and we particularly encourage women to apply. To apply, please send a cover letter, CV, names and contact information of 2-3 references as well as any other relevant documents to Narly.Golestani(a)unige.ch<mailto:Narly.Golestani@unige.ch>. Feel free to contact me should you have any questions. Deadline for application: March 15th 2020 ----------------------------------------------------------------------------------------------------------------------------------------------------------------- Brain and Language Lab Prof. Narly GOLESTANI 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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Masters fellowships in computational neuroscience within the Interdisciplinary Master in Life Science at ENS/PSL Paris
by boris gutkin Feb. 27, 2020

Feb. 27, 2020

Mathematics of Neural Circuits team (Pi Boris Gutkin, https://lnc2.dec.ens.fr/en/teams/mathematics-neural-circuits) at the Laboratory for Cognitive and Computational Neuroscience, Ecole Normale Superieure Paris France is looking for highly qualified candidates to support for the masters (m1 and m2) fellowship competition within the Interdisciplinary Master in Life Science ENS Paris. Within the framework of the PSL Q-Life Institute of Convergence <https://www.univ-psl.fr/q-life>, a scholarship program offering competitive stipends for students following the Interdisciplinary Master in Life Science (IMaLiS <https://www.enseignement.biologie.ens.fr/spip.php?rubrique44>) has been established to specifically support two categories of students : International students (10,000 €/year), French students with a degree in a scientific discipline other than Life Sciences (6,000 €/year). In addition to providing the fellowship, the program can reserve rooms at the Cité International Universitaire de Paris <http://www.ciup.fr/en/> for some of the students. The deadline is April 17 2020. More details on the program can be found here: https://www.enseignement.biologie.ens.fr/spip.php?article189&lang=fr <https://www.enseignement.biologie.ens.fr/spip.php?article189&lang=fr> For more information and preliminary interview please contact: boris.gutkin(a)ens.fr Boris Gutkin, PhD Research Director CNRS Group for Neural Theory, LNC INSERM U960 Institut d'Etude de la Cognition de l'Ecole normale supérieure Ecole normale superieure, Paris Sciences et Lettres* 29 rue d'Ulm. 75005 Paris, France Phone: +3314432 <tel:%2B33144322674>2956 Internet:http://gnt.ens.fr/ <http://audition.ens.fr/>

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Vacancy for studying the visual cortex
by Pieter Roelfsema Feb. 27, 2020

Feb. 27, 2020

We have an exciting opportunity for a PhD-student or postdoc to work on the neuronal mechanisms for object perception and perceptual organization Project description The perception of objects and their segregation from cluttered backgrounds requires interactions between lower and higher areas of the visual cortex. In this project we will simultaneously record from low-level and higher-level cortical areas of the temporal stream in monkeys trained on tasks that rely on object vision. We compare the activity of neurons in the different brain areas to the tuning of units in deep neural networks, to elucidate the contributions of feedforward and feedback connections between brain areas. We expect from you: You are highly motivated, self-driven with a degree in neuroscience, (neuro)psychology, biomedical sciences, natural sciences, material science, mathematics, physics, etc. A high level of written and spoken English and good programming skills are required. You will have experience with neurophysiological techniques, the analysis of neuronal activity in alert animals, and a background in neuroscience. You should expect from us: • Mentoring, supervision and training • Access to state-of-the art infrastructure • A stimulating international research environment Environment The Netherlands Institute for Neuroscience (www.nin.nl) is the country’s leading fundamental neuroscience research institute. It provides a critical mass of scientists and neuroscience technologies, together with a highly interactive, dynamic, multi-cultural environment. English is the working language of all research groups. Amsterdam is an internationally oriented city and an attractive, progressive and easy-to-integrate environment. The research groups have members from more than 27 nations with backgrounds ranging from philosophy to engineering. Appointment We offer an exciting job at a dynamic research institute and an attractive package of fringe benefits. The position is for a period of 3 or 4 years in total for a postdoctoral researcher or PhD-student, respectively. The first appointment is for one year with an extension for the remaining period pending on an evaluation. Salary The salary will be commensurate with experience and institutional guidelines based on the Collective Labour Agreement for Dutch Universities; CAO NU). Full time monthly salary for a PhD student is € 2.325,- in the 1st year to € 2.979,- in the 4th year before taxes. The starting salary for a postdoctoral researcher depends on experience and ranges from € 3.123,- to € 4.274,-.- before taxes. A 8% holiday allowance and 8.3% year-end bonus are excluded. A 8% holiday allowance and 8.3% year-end bonus are excluded. We offer travel expenses, paid parental leave, flexible working hours, 30 days paid leave per year and help by finding a house. Starting date The position is available from Mid 2020 To apply Please, send your application to l.van.der.vecht(a)nin.knaw.nl<mailto:l.van.der.vecht@nin.knaw.nl> including: 1. A Curriculum Vitae 2. An application letter 3. Two (for PhD applicants) or three (for postdoctoral applicants) reference letters Evaluation of candidates will begin immediately, and continue until the position is filled. We aim to fill the position between April and July 2020. All qualified applicants will receive consideration for employment without regard to race, religion, sexual orientation, nationality, disability, etc.

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Tenure-Track Faculty Position available in machine learning and computational neuroscience
by Lopez, Camila Feb. 26, 2020

Feb. 26, 2020

Tenure-Track Faculty Position in machine learning and computational neuroscience The Center for Neuroscience and Artificial Intelligence (CNAI) and the Department of Neuroscience at Baylor College of Medicine invite applications for a faculty position in machine learning or computational neuroscience. A major goal of the Center is to decipher the brain’s algorithms of perception, learning, motor control and cognition, and to test these algorithms in real-world machine learning applications. The Center aims to advance the field of artificial intelligence and to revolutionize how machine learning impacts society. We are seeking applications at the assistant professor level, but accomplished mid-career or senior scientists at the level of associate or full professor with strong records of research productivity, grant support and a demonstrated collaborative spirit are also encouraged to apply. Research interests may focus on any area related to machine learning and computational neuroscience. The Center for Neuroscience and Artificial Intelligence and The Department of Neuroscience at Baylor College of Medicine are located within a dynamic, collaborative research environment on the Texas Medical Center, with one of the highest densities of clinical, translational, and basic science research facilities in the world. The Neuroscience Department, including primary and affiliated faculty, is a vibrant community with strong ties to Rice University, the Neurological Research Institute (NRI), the University of Texas Health Sciences, and the University of Houston. CNAI has a strong partnership with NeuroEngineering and Data Science faculty at Rice University, and joint appointments with relevant departments at Rice University are possible. Applicants should apply directly to the job posting link: https://career4.successfactors.com/sfcareer/jobreqcareer?jobId=594&company=… First consideration will be given to applications received by March 29, 2020, but applications will be accepted until the positions are filled. Baylor College of Medicine is an equal opportunity employer, committed to building a culturally diverse intellectual community, and encourages applications from women and minorities.

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Workshop "Recent approaches to Graph Convolutional Networks, Graph Representation Learning and Reinforcement Learning"
by Sébastien Lerique Feb. 26, 2020

Feb. 26, 2020

Dear all, The ENS de Lyon (France) is organising a 2-days workshop bringing together researchers in Graph Convolutional Networks, Graph Representation Learning and Reinforcement Learning. Recent years have seen many developments in these related fields, and this workshop will provide two days of close interactions, fostering the emergence of new collaborations. It will take place on the 23-24 March 2020, at ENS Lyon. **Keynote speakers** - Don Towsley (University of Massachusetts) - Michaël Defferrard (EPFL) - Geert Leus (TU Delft) - Bruno Scherrer (Inria, Université de Lorraine) - Andreas Loukas (EPFL) - Sebastien Gerchinovitz (IRT St. Exupéry Toulouse) **Call for Contributions** We call for contributions based on recent works, either published or not, with special emphasis on works by PhD students or young researchers. The scope of the meeting includes the following topics: - Graph Convolutional Networks - Graph Representation Learning - Reinforcement Learning - and of course any combination of the three! There are 6 to 8 available slots for talks, which will be 20 minutes presentation and 10 minutes questions. To submit a proposal, please write to ixxi(a)ens-lyon.fr with a link to the article you wish to present (or a copy in pdf format). **Submission deadline:** 28 February 2020 (Anywhere on Earth) Further information and updates can be found on the website: https://gcn-grl-rl.sciencesconf.org/ Please forward this announcement to your respective communities! Best wishes, Sébastien Lerique

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Postdoc position in computational neuroscience and/or developmental robotics at the University of Tokyo
by nagai.yukie＠mail.u-tokyo.ac.jp Feb. 26, 2020

Feb. 26, 2020

Dear colleagues, The International Research Center for Neurointelligence (IRCN) at the University of Tokyo is looking for highly motivated full-time postdoc researchers in the field of computational neuroscience and/or developmental robotics. The selected candidates will join Cognitive Developmental Robotics Laboratory and have the opportunity to pursue interdisciplinary research integrating computer science, neuroscience, cognitive science, psychology, robotics, etc. If you are interested in being considered, please send the required documents to yukie(a)ircn.jp. Postdoctoral Fellow at IRCN, the University of Tokyo https://ircn.jp/en/careers/postdoctoral-fellow-project-researcher-nagai-lab… Cognitive Developmental Robotics Laboratory (Nagai Lab), the University of Tokyo http://developmental-robotics.jp/en/ --------------------------------------------------------------------------------- 1. Job title: Project Assistant Professor / Project Researcher (Postdoctoral Fellow) 2. Starting Date: Negotiable 3. Term: The first contract will be ended on March 31, 2021. The contract is renewable on a fiscal year basis (from April 1 to March 31; every year) according to research budget, research activity, and research achievements. Contract duration is until March 31, 2022. 4. Place of Work International Research Center for Neurointelligence The University of Tokyo, Institutes for Advanced Study 7-3-1 Hongo Bunkyo-ku Tokyo, 113-0033 JAPAN 5. Qualifications (Required) - Ph.D. in Engineering, Ph.D. in Computer Science or equivalent in a related field - Good communication skill in English (Preferred) - Experiences in neural network, machine learning, computational neuroscience and/or developmental robotics will be preferred. 6. Compensation & Benefits - Salary: To be determined in accordance with the University of Tokyo Regulations - Commuter allowance: JPY55,000 per month at maximum - Social Insurance: Eligible for MEXT Mutual Aid Association membership, employees’ pension, employment insurance, and workers’ accident compensation insurance. - Vacation: Annual paid vacation, Sick leave (paid), Special vacation (paid) 7. Working Hours Discretionary labor system, based on 7 hours, 45 minutes per day, or 38 hours 45 minutes per week 8. Holidays Saturdays and Sundays; Statutory public holidays of Japan; Year-end and New Year holidays (December 29 through January 3); Summer holidays 9. Applications and Selection Process - Applications deadline: When the position is filled - Application documents: (a) Cover letter in English (b) Curriculum vita in English (c) Publication list (d) Name and contact address for two references, one of which should be a previous employer - Submission: Interested applicants should send application materials to: yukie(a)ircn.jp - Selection Process: All applications will be screened, and only those qualified will be scheduled for an interview (on-site or via video). --------------------------------------------------------------------------------- — 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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Two fully funded PhD positions in Computational Neuroscience at Georgia State University
by Yaroslav Molkov Feb. 25, 2020

Feb. 25, 2020

> > Two fully funded doctoral student positions in computational neuroscience > for the duration of up to four years with very competitive compensation are > available in the Department of Mathematics and Statistics at Georgia State > University starting in fall 2020. The successful candidates will work > with Dr. Yaroslav Molkov and his collaborators on neural control of > breathing and locomotion. For more details, visit > https://math.gsu.edu/ymolkov/. > > The University: http://www.gsu.edu > Georgia State University is the Southeast's leading urban research > institution. It is on the list of the top 100 public universities for > doctoral degrees awarded. More than 250 fields of study are offered through > some 55 accredited degree programs at the bachelor's, master’s, specialist > and doctoral levels. Our student body is the best qualified and most > diverse in our history. More than 40,000 students are seeking degrees at > Georgia State, and more than 28,000 of them are on campus each semester. > Students come to our campus from every county in Georgia, every state in > the nation and 160 countries. The campus is located in the heart of > downtown Atlanta. > > The Department: http://mathstat.gsu.edu > Currently, the department has twenty seven tenured or tenure-track faculty > members, fourteen lecturers and academic professionals, and about eighty > graduate students. The Department’s faculty members are very active in > research and publication. They regularly publish in top-ranked journals, > more than 1/3 of the research faculty members are supported by various > federally funded grants, and several members have been serving on editorial > boards of journals. They have been directing PhD dissertations and MS > theses within the department, joint with other departments of the College > of Arts and Sciences, and in conjunction with other universities. > > Please apply at http://cas.gsu.edu/graduate-studies/admissions/ > > For additional information, please contact Dr. Molkov, Email: ymolkov > @gsu.edu <fenescu(a)gsu.edu>. > > ================================= > Yaroslav Molkov, PhD > Associate Professor > Department of Mathematics & Statistics/Neuroscience Institute > Georgia State University > 25 Park Place, Atlanta, GA 30303, Room 1415 > Phone: (404) 413-6422 > Email: ymolkov(a)gsu.edu >

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13ᵗʰ Advanced Scientific Programming in Python in Ghent, Belgium, 31 August—5 September, 2020
by Jakob Jordan Feb. 24, 2020

Feb. 24, 2020

13ᵗʰ Advanced Scientific Programming in Python ============================================== a Summer School by the ASPP faculty and the Ghent University https://aspp.school Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist. Lectures are devised to be interactive and to give the students enough time to acquire direct hands-on experience with the materials. Students will work in pairs throughout the school and will team up to practice the newly learned skills in a real programming project — an entertaining computer game. We use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. We show how clean language design, ease of extensibility, and the great wealth of open source libraries for scientific computing and data visualization are driving Python to become a standard tool for the programming scientist. This school is targeted at Master or PhD students and Post-docs from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or R is absolutely required. Basic knowledge of Python and of a version control system such as git, subversion, mercurial, or bazaar is assumed. Participants without any prior experience with Python and/or git should work through the proposed introductory material before the course. We are striving hard to get a pool of students which is international and gender-balanced. Date & Location =============== 31 August–5 September, 2020. Ghent, Belgium. Application =========== You can apply online: https://aspp.school/wiki/applications Application deadline: 23:59 UTC, Sunday 24 May, 2020 There will be no deadline extension, so be sure to apply on time. Be sure to read the FAQ before applying: https://aspp.school/wiki/faq Participation is for free, i.e. no fee is charged! Accommodation in the student residence comes at no costs for participants. We are trying to arrange financial coverage for food expenses too, but this may not work. Participants however should take care of travel expenses by themselves. Program ======= • Version control with git and how to contribute to open source projects with GitHub • Best practices in data visualization • Testing and debugging scientific code • Advanced NumPy • Organizing, documenting, and distributing scientific code • Advanced scientific Python: context managers and generators • Writing parallel applications in Python • Profiling and speeding up scientific code with Cython and numba • Programming in teams Faculty ======= • Caterina Buizza, Personal Robotics Lab, Imperial College London UK • Lisa Schwetlick, Experimental and Biological Psychology, Universität Potsdam Germany • Nelle Varoquaux, CNRS, TIMC-IMAG, University Grenoble Alpes France • Nicolas P. Rougier, Inria Bordeaux Sud-Ouest, Institute of Neurodegenerative Disease, University of Bordeaux France • Pamela Hathway, Neural Reckoning, Imperial College London UK • Pietro Berkes, NAGRA Kudelski, Lausanne Switzerland • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin Germany • Tiziano Zito, Department of Psychology, Humboldt-Universität zu Berlin Germany • Zbigniew Jędrzejewski-Szmek, Red Hat Inc., Warsaw Poland Organizers ========== Head of the organization for ASPP and responsible for the scientific program: • Tiziano Zito, Department of Psychology, Humboldt-Universität zu Berlin Germany Local team: • Nina Turk, Photonics Research Group, INTEC, Ghent University – imec Belgium • Freya Acar, Office for Data and Information, City of Ghent Belgium • Joan Juvert Institutional organizers: • Wim Bogaerts, Photonics Research Group, INTEC, Ghent University –imec Belgium • Sven Degroeve, VIB-UGent Center for Medical Biotechnology, Ghent Belgium • Jeroen Famaey, Department of Mathematics and Computer Science, University of Antwerp – iMinds Belgium • Bernard Manderick, Artificial Intelligence Lab, Vrije Universiteit Brussel Belgium Website: https://aspp.school Contact: info(a)aspp.school

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Vacancy as project assistant and lab manager
by Walter Senn Feb. 24, 2020

Feb. 24, 2020

There is a position available as project assistant and joint lab manager (40-60%) at the Institute of Physiology, University of Bern, Switzerland. Job description You will coordinate the activities of the research groups Petrovici and Senn (roughly 10 people). The groups are working in the field of computational neuroscience and are developing learning algorithms for brain-inspired computing. Additionally, we are developing implementations of efficient computational paradigms in neuromorphic hardware. The groups are part of the Human Brain Project, and within this consortium need administrative and managerial support. You will support us in editing scientific publications and outreach material, organize meetings, ensure timely reporting on science and finances, and will help us in the communication on organizational and administrative issues with partners of the Human Brain Project. We offer insights into the Human Brain project, an exciting European Flagship for Research, mentoring and training, flexible working hours, a stimulating international research environment, salary according to the Swiss University standards, and a working place in the center of Bern, the beautiful capital of Switzerland and UNESCO World Heritage Centre. Qualification We are searching for highly motivated candidates with a degree in natural sciences, preferably neuroscience, (neuro)psychology, biomedical sciences, natural sciences, material science, mathematics or physics. A high level of written and spoken English is required. The ideal candidate will have managerial experience with an understanding of neuroscientific research. Application Please send your CV with an application letter and the name and contact of two references to Walter Senn (walter.senn(a)pyl.unibe.ch <mailto:walter.senn@pyl.unibe.ch>) and Mihai Petrovici (mihai.petrovici(a)pyl.unibe.ch <mailto:mihai.petrovici@pyl.unibe.ch>), with cc to Sabine Herzog (sabine.herzog(a)pyl.unibe.ch <mailto:sabine.herzog@pyl.unibe.ch>). The first evaluation round will begin on March 23rd, 2020. The position will remain open until filled. With best regards Mihai Petrovici and Walter Senn

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Postdoc position at Max Planck Institute for Brain Research in Frankfurt, Germany
by Gjorgjieva, Julijana Feb. 24, 2020

Feb. 24, 2020

We invite applications for a postdoctoral research position at the Computation in Neural Circuits group at the Max Planck Institute for Brain Research in Frankfurt, Germany. We use mathematical and computational approaches to study how neural networks self-organize into functional units from a combination of mechanisms including synaptic, homeostatic and intrinsic plasticity. We investigate different levels from individual synaptic inputs on dendrites to large-scale networks of higher order cortex. We are especially interested in these aspects during cortical development before and shortly after birth when the brain is highly plastic, but general aspects of learning and memory, especially under naturalistic stimuli and behaviors are also of great interest. For our recent work, you can see our latest papers and preprints: http://cns.wzw.tum.de/index.php?id=pubs We collaborate with different experimental research groups in the US, UK, Netherlands and Germany and benefit from interactions with the strong neuroscience community in Frankfurt. Our applications range across animals from rodent to Drosophila and reptiles. Successful applicants can choose from a range of projects including data analysis, theoretical model development and analytical calculations, numerical simulations, and applications to rich datasets from collaborating labs. Applicants should have a strong quantitative background (in mathematics, physics, engineering, computer science, or related fields) and good programming skills (Matlab, C/C++ or Python). The position can start as early as spring 2020. For more information or an informal questions, email me at gjorgjieva(a)brain.mpg.de<mailto:gjorgjieva@brain.mpg.de>. I will also be at Cosyne. To apply for this position, please email the following: 1. A curriculum vitae 2. A description of research interests, including a motivation for why you chose to apply to our group 3. A writing sample, either a manuscript, thesis or code 4. Contact details for 2-3 referees Lookin forward to your applications! ----------------------------------------- Julijana Gjorgjieva, PhD Research Group Leader Max Planck Institute for Brain Research Max-von-Laue-Str. 4, Frankfurt Assistant Professor of Computational Neuroscience Technical University of Munich, WZW Freising office: +49 69 850033 3600 http://cns.wzw.tum.de

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The Electrosensory Cocktail Party Problem - PhD position at Bernstein Center Berlin & Humboldt University (Physics Dep.) available
by Benjamin Lindner Feb. 24, 2020

Feb. 24, 2020

*Weakly nonlinear interactions in an electrosensory cocktail party problem* Within the DFG priority program "Evolutionary Optimisation of Neuronal Processing", we are looking for a PhD candidate to work on the detection of weak signals in the presence of much stronger distractors, a joint project with the experimental lab of Jan Benda (University Tubingen, Germany). The 'cocktail party problem' is here regarded as a general theoretical problem and will be explored by the successful candidate by means of analytical calculations and numerical simulations of stochastic models of spiking neurons. Beyond pursuing purely theoretical approaches, the main goal of this project is to understand weakly nonlinear interactions specifically in the electrosensory system of weakly electric fish, an experimental model system of the Benda lab. In order to get an idea about similar approaches pursued in the past, have a look at some of the joint publications of the Benda lab and the Lindner group: Fisch et al. J. Neurosci. 32, 17332 (2012) Sharafi et al. J. Comp. Neurosci. 34 , 285 (2013) Grewe et al. PNAS 114 E1977 (2017) The successful candidate should have a degree in physics, mathematics or computational neuroscience (a background in neurobiology is desirable but not obligatory), programming skills (C++, Python, LaTeX, Linux), an excellent command of the English language, good communication skills, team spirit, and, last but not least, great enthusiasm for interdisciplinary projects. Funding is provided for three years, starting within the next three months. For details on the doctoral examination process at the Physics Department of Humboldt University Berlin, see https://fakultaeten.hu-berlin.de/en/mnf/wisskar/promotionen/zula. Applications, including a letter of motivation, a CV, and a list of three potential referees should be sent by email to   me benjamin.lindner(a)physik.hu-berlin.de  (cc to nikola.schrenk(a)bccn-berlin.de) The deadline for applications is March 25, 2020, however, later applications might also be considered. Kind regards, Benjamin Lindner -------------------------------------------------------------------------------------------------------------------- Benjamin Lindner Professor for Theory of Complex Systems and Neurophysics Bernstein Center for Computational Neuroscience Berlin Philippstr. 13, Haus 2, 10115 Berlin Room: 1.17, phone: 0049(0)302093 6336 Department of Physics Humboldt University Berlin Newtonstr. 15 12489 Berlin Room: 3.408, phone: 0049(0)302093 7934 http://people.physik.hu-berlin.de/~lindner/index.html --------------------------------------------------------------------------------------------------------------------

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Scientific software developer position at the SimLab Neuroscience, Juelich, Germany
by Abigail Morrison Feb. 24, 2020

Feb. 24, 2020

Dear colleagues, we have a scientific software developer position available in the SimLab Neuroscience, Juelich Research Centre, Germany. We are looking for candidates with a proven track record in developing scientific software who are interested in neuroscientific modelling and simulation as well as the graph analysis and visualization of neuroscience data. For a full description and details of how to apply, please see the announcement on our website: https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2020-053-E… All the best, Abigail Morrison -- Prof. Dr. Abigail Morrison IAS-6 / INM-6 / SimLab Neuroscience Jülich Research Center & Computer Science 3 - Software Engineering RWTH Aachen http://www.fz-juelich.de/inm/inm-6 http://www.fz-juelich.de/ias/jsc/slns http://www.se-rwth.de Office: +49 2461 61-9805 Fax # : +49 2461 61-9460 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Vacancies in learning methods for hierarchical cognitive processing
by Pieter Roelfsema Feb. 23, 2020

Feb. 23, 2020

We have exciting opportunities for 3 PhD-student or postdocs to work on Architectures and learning methods for hierarchical cognitive processing Project description Our recent theoretical insights have allowed a preliminary understanding of how animals learn to represent and memorize the key features of sensory stimuli for the guidance of action based on reinforcement learning (Rombouts et al. PloS Comp Biol 2015; Holtmaat & Roelfsema, Nature Reviews Neuroscience, 2018). The present project focuses on the hierarchical learning of cognitive subroutines, which can be incorporated into larger routines, by trial and error. We aim to develop a biologically plausible learning rules that endow neural networks with the possibility to learn hierarchical task structures and learn and execute cognitive tasks. Topics of interest include - the role of learnable/flexible working memory models in learning and executing hierarchically structures routines. The project is a collaboration between in the Vision & Cognition group (Dr. Pieter Roelfsema) at the Netherlands Institute for Neuroscience and the Machine Learning Lab at the Centrum Wiskunde & Informatica in Amsterdam (Dr. Sander Bohte). We expect from you: You are highly motivated, have a solid computational background, an interest in cognitive neuroscience and good programming skills. You should expect from us: The position involves a temporary appointment for 3-4 years. The first appointment is for one year with extension for the remaining period pending on an evaluation. We offer a competitive salary with excellent secondary benefits and friendly taxes, and also an extremely friendly, interactive and international working environment. Amsterdam is one of Europe's most beautiful and livable cities where almost everybody speaks and understands English, so that candidates need not be afraid of the language barrier. Environment About the NIN The Netherlands Institute for Neuroscience (www.nin.nl) is the country’s leading fundamental neuroscience research institute. It provides a critical mass of scientists and neuroscience technologies, together with a highly interactive, dynamic, multi-cultural environment. English is the working language of all research groups. Amsterdam is an internationally oriented city and an attractive, progressive and easy-to-integrate environment. The research groups have members from more than 27 nations with backgrounds ranging from philosophy to engineering. For more information about the Vision & Cognition groep visit our https://herseninstituut.nl/onderzoek/onderzoeksgroepen/roelfsema-groep/ About Centrum Wiskunde & Informatica Centrum Wiskunde & Informatica (CWI) is the Dutch national research institute for mathematics and computer science and is part of the Institutes Organisation of NWO. The mission of CWI is to conduct pioneering research in mathematics and computer science, generating new knowledge in these fields and conveying it to trade, industry, and society at large. CWI is an internationally oriented institute, with 160 scientists from approximately 27 countries. The facilities are first-rate and include excellent IT support, career planning, training, and courses. CWI is located at Science Park Amsterdam that is presently developing into a major location of research in the natural sciences in The Netherlands, housing the sciences of the University of Amsterdam and of the Vrije Universiteit as well as several other national research institutes next to CWI. For more information about the CWI ML research group at CWI, please visit our https://www.cwi.nl/research/groups/networks-and-optimization/networks-and-o… Appointment We offer an exciting job at a dynamic research institute and an attractive package of fringe benefits. The position is for a period of 3 or 4 years in total for a postdoctoral researcher or PhD-student, respectively. The first appointment is for one year with an extension for the remaining period pending on an evaluation. Salary The salary will be commensurate with experience and institutional guidelines based on the Collective Labour Agreement for Dutch Universities; CAO NU). Full time monthly salary for a PhD student is € 2.325,- in the 1st year to € 2.979,- in the 4th year before taxes. The starting salary for a postdoctoral researcher depends on experience and ranges from € 3.123,- to € 4.274,-.- before taxes. A 8% holiday allowance and 8.3% year-end bonus are excluded. A 8% holiday allowance and 8.3% year-end bonus are excluded. We offer travel expenses, paid parental leave, flexible working hours, 30 days paid leave per year and help by finding a house. Starting date The position is available from April 2020. To apply Please, send your application to l.van.der.vecht(a)nin.knaw.nl including: 1. A Curriculum Vitae 2. An application letter 3. Two reference letters Evaluation of candidates will begin immediately, and continue until the position is filled. We aim to fill the position between April and July 2020. All qualified applicants will receive consideration for employment without regard to race, religion, sexual orientation, nationality, disability, etc. Any acquisition further to this advertisement will not be appreciated.

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PhD positions in Interactive AI CDT
by Rui Ponte Costa Feb. 22, 2020

Feb. 22, 2020

We are looking to recruit PhD students for our unique EPSRC-funded Centre for Doctoral Training in Interactive Artificial Intelligence at the University of Bristol, UK. The IAI Centre in a nutshell Building on Bristol’s world-leading expertise in AI, machine learning, neuroscience and human-computer interaction, the Centre for Doctoral Training in Interactive Artificial Intelligence offers PhD studentships that will train you to become a leader in human-in-the-loop and interpretable AI systems. This unique Centre is based in the School of Computer Science, Electrical and Electronic Engineering and Engineering Mathematics. Its mission is to deliver cohorts of highly-trained PhD graduates with the skills to design and implement complex interactive AI pipelines solving societally and scientific important problems. After the taught first year, covering foundational topics in data-driven AI, knowledge-driven AI, human-AI interaction and responsible AI, you will undertake a 3-year research project, supervised by one of the 60 academics in the supervisory network and in close collaboration with one or more external partners. The Centre partners with a wide range of external organisations including Alan Turing Institute, Microsoft Research, Amazon Research, Dyson, Thales, and many others. How to apply Applicants must hold/achieve a minimum of an upper-second class honours degree in a relevant discipline (e.g., computer science, engineering, mathematics, statistics). Enhanced EPSRC studentships covering fees and living costs are available to UK / EU students (EU citizens are eligible if they have lived in the UK for at least 3 years; a small percentage of positions can also be considered for non-UK/EU candidates). For full details, contact information and on-line applications, navigate to www.bristol.ac.uk/cdt/interactive-ai<https://www.findaphd.com/common/clickCount.aspx?theid=4377&type=185&url=htt…>. Deadline: 2nd March 2020, 00:00 (GMT) For admission enquires please contact iai-cdt-admissions(a)bristol.ac.uk<mailto:iai-cdt-admissions@bristol.ac.uk>. For more informal inquires feel free to contact academics affiliated with the program. Best wishes, Bristol Computational Neuroscience Unit<http://bristolcnu.github.io/> SCEEM | Faculty of Engineering & Bristol Neuroscience, University of Bristol, UK

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Postdoc and PhD positions on Biological Deep Learning
by Walter Senn Feb. 22, 2020

Feb. 22, 2020

Dear all A postdoc and two PhD positions devoted to the modeling of learning in deep cortical networks are available in our Computational Neuroscience labs at the University of Bern, Switzerland. Our research is focused on biologically realistic models of spatio-temporal processing in recurrent cortical networks and their relation to reinforcement learning, Bayesian computing, learning to learn, and neuromorphic implementations. The positions are part of the European Human Brain Project and are available from April 1st, 2020, for 3 years (extendable through other funding). We offer a stimulating environment with three research groups in theoretical and computational neuroscience, along with experimental neuroscience at the same Department of Physiology (physio.unibe.ch/gruppen.aspx <http://physio.unibe.ch/gruppen.aspx>), as well as close collaboration with other labs in neuroscience, artificial intelligence and neuromorphic engineering. Ideal candidates should have a strong background in computational neuroscience, machine learning, applied mathematics and/or physics. Please send your CV, publication list, letter of motivation and contact information for at least two references to Walter Senn (walter.senn(a)pyl.unibe.ch <mailto:walter.senn@pyl.unibe.ch>) and Mihai Petrovici (mihai.petrovici(a)pyl.unibe.ch <mailto:mihai.petrovici@pyl.unibe.ch>), with cc to Sabine Herzog (sabine.herzog(a)pyl.unibe.ch <mailto:sabine.herzog@pyl.unibe.ch>). The first evaluation round will begin on March 23rd, 2020. The positions will remain open until filled. With best regards, Mihai Petrovici and Walter Senn

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