- Comp-neuro - lists.cnsorg.org

Brain Informatics 2020 conference, September 18-20, Padova (Italy).
by Samir Suweis Feb. 10, 2020

Feb. 10, 2020

Dear colleagues, we are happy to announce the next Brain Informatics 2020 conference, September 18-20, Padova (Italy) - http://www.bi2020.org/ <http://www.bi2020.org/> The Brain Informatics (BI) conference series has established itself as the world's premier research forum on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field with joint efforts from neuroscience, cognitive science, medicine and life sciences, data science, artificial intelligence, neuroimaging technologies, and information and communication technologies. The 13th International Conference on Brain Informatics (BI2020) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. The theme of BI2020 is: Innovative Computational Approaches for Understanding Brain Functions and Treat its Disorders. The BI2020 solicits high-quality original research and application papers (both full paper and abstract submissions). Relevant topics include but are not limited to: • Track 1: Cognitive and Computational Foundations of Brain Science • Track 2: Human Information Processing Systems • Track 3: Brain Big Data Analytics, Curation and Management • Track 4: Informatics Paradigms for Brain and Mental Health Research • Track 5: Brain-Machine Intelligence and Brain-Inspired Computing Publications • Main conference papers will be published in the proceedings at the Springer-Nature LNCS/LNAI Brain Informatics Book Series. • Accepted full papers will be selected to publish in the Springer Open Access Brain Informatics Journal upon revision. No article-processing fee will be charged for authors of Brain Informatics conference. • Workshop and Special Session full papers will be published at the same BI proceedings at the Springer-Nature LNAI Brain Informatics Book Series. • Organizers of Workshops and Special Sessions will be invited to prepare a book proposal based on the topics of the workshop/special session for possible book publication in the Springer-Nature Brain Informatics & Health Book Series. Timeline March 1, 2020 Workshop, Special Session & Tutorial proposal submission deadline April 1, 2020 Papers submission deadline June 1, 2020 Notification of paper acceptance June 1, 2020 Abstract submission deadline July 1, 2020 Notification of abstract acceptance July 1, 2020 Early bird registration deadline July 15, 2020 Paper registration deadline September 18, 2020 Workshops, Special Sessions and Tutorials September 19-20, 2020 Main conference All info: http://www.bi2020.org/ <http://www.bi2020.org/>

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RaPID-3 @ LREC2020: extended deadline and final call for papers
by Dimitrios Kokkinakis Feb. 10, 2020

Feb. 10, 2020

*Apologies for cross-postings* *============================* *RaPID-3*: "Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments" *Date*: 11th May, 2020 *Venue*: Palais du Pharo, Marseille, France *Website*: <https://spraakbanken.gu.se/eng/rapid-2020> *Extended **Submission Deadline*: 16th Feb., 2020, 22nd Feb., 2020 *Submission page*: <https://www.softconf.com/lrec2020/RaPID-3> ============================ Papers must be compliant with the stylesheet adopted for the main conference Proceedings: https://lrec2020.lrec-conf.org/en/submission2020/authors-kit/ ============================ *Workshop Description: **Objectives* RaPID-3 aims to be an interdisciplinary forum for researchers to share information, findings, methods, models and experience on the collection and processing of data produced by people with various forms of mental, cognitive, neuropsychiatric, or neurodegenerative impairments, such as aphasia, dementia, autism, bipolar disorder, Parkinson's disease or schizophrenia. Particularly, the workshop's focus is on creation, processing and application of data resources from individuals at various stages of these impairments and with varying degrees of severity. Creation of resources includes e.g. annotation, description, analysis and interpretation of linguistic, paralinguistc and extra-linguistic data (such as spontaneous spoken language, transcripts, eyetracking measurements, wearable and sensor data, etc). Processing is done to identify, extract, correlate, evaluate and disseminate various linguistic or multimodal phenotypes and measurements, which then can be applied to aid diagnosis, monitor the progression or predict individuals at risk. A central aim is to facilitate the study of the relationships among various levels of linguistic, paralinguistic and extra-linguistic observations (e.g., acoustic measures; phonological, syntactic and semantic features; eye tracking measurements; sensors, signs and multimodal signals). Submission of papers are invited in all of the aforementioned areas, particularly emphasizing multidisciplinary aspects of processing such data and the interplay between clinical/nursing/medical sciences, language technology, computational linguistics, natural language processing (NLP) and computer science. The workshop will act as a stimulus for the discussion of several ongoing research questions driving current and future research by bringing together researchers from various research communities. For *Topics of interest, **Submission & Publication details, **Important Dates *and *the **Organizing and **Programme Committees *see*: ** <* *https://spraakbanken.gu.se/eng/rapid-2020* <https://spraakbanken.gu.se/eng/rapid-2020>*>*

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Final Program of the Columbia Workshop on Brain Circuits, Memory and Computation, March 16-17, 2020
by Aurel A. Lazar Feb. 10, 2020

Feb. 10, 2020

Columbia Workshop on Brain Circuits, Memory and Computation 2020 BCMC 2020 March 16-17, 2020 Davis Auditorium, CEPSR Columbia University, New York, NY, USA Overview The goal of the workshop is to bring together researchers interested in developing executable models of neural computation/processing of the brain of model organisms. Of interest are models of computation that consist of elementary units of processing using brain circuits and memory elements. Elementary units of computation/processing include population encoding/decoding circuits with biophysically-grounded neuron models, non-linear dendritic processors for motion detection/direction selectivity, spike processing and pattern recognition neural circuits, movement control and decision-making circuits, etc. Memory units include models of spatio-temporal memory circuits, circuit models for memory access and storage, etc. A major aim of the workshop is to explore the integration of various sensory and control circuits in higher brain centers. A Fruit Fly Brain Hackathon <http://fruitflybrain.org/hackathons.html> is being conducted in conjunction with the workshop. Workshop participants are welcome to attend the hackathon. Organizer and Program Chair Aurel A. Lazar <http://www.ee.columbia.edu/~aurel>, Columbia University Registration Registration is free but all participants have to register <http://bcmc2020.eventbrite.com/>. Thank you! Lodging and Directions to Venue Please follow this link <http://www.bionet.ee.columbia.edu/workshops/bcmc/2020/directions> for lodging details and directions to the hotel and venue. Sponsorship The 2020 Columbia Workshop on Brain Circuits, Memory and Computation is supported by the Department of Electrical Engineering <http://www.ee.columbia.edu/>, Columbia University Center for Computing Systems for Data-Driven Science <https://datascience.columbia.edu/computing-systems>, Data Science Institute, Columbia University School of Engineering and Applied Science <http://www.engineering.columbia.edu/>, Columbia University The detailed program is available at : http://fruitflybrain.org/workshops.html <http://fruitflybrain.org/workshops.html> Aurel http://www.bionet.ee.columbia.edu

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Research Fellow In Approximate Data Structures
by Uwe Aickelin Feb. 10, 2020

Feb. 10, 2020

Hi, It’s a great time to join one of the world’s leading Schools of Computing and Information Systems: We are looking for a Research Fellow In Approximate Data Structures to work with two of our top Professors: http://jobs.unimelb.edu.au/caw/en/job/899981/research-fellow-in-approximate… Thanks, Uwe Aickelin Professor Uwe Aickelin | Head of School of Computing and Information Systems Melbourne School of Engineering Level 8, Doug McDonell Building, 168 Grattan Street The University of Melbourne, Victoria 3010 Australia T: +61 3 8344 3635 E: uwe.aickelin(a)unimelb.edu.au<mailto:uwe.aickelin@unimelb.edu.au> http://aickelin.com/ | http://linkedin.com/in/aickelin I acknowledge the Traditional Owners of the land on which I work, and pay my respects to the Elders, past and present. CRICOS: 00116K This email and any attachments may contain personal information or information that is otherwise confidential or the subject of copyright. Any use, disclosure or copying of any part of it is prohibited. The University does not warrant that this email or any attachments are free from viruses or defects. Please check any attachments for viruses and defects before opening them. If this email is received in error, please delete it and notify us by return email. [signature_1111626909]<https://eng.unimelb.edu.au/about/join-mse/current-opportunities#current-opp…>

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Postdoc position in London --background in video games and/or numerical analysis of ODEs/PDEs and/or computational neuroscience.
by Dimitris Pinotsis Feb. 9, 2020

Feb. 9, 2020

The Computational Neuroscience and Psychiatry Lab (www.pinotsislab.com) at University ofLondon—City is looking for a Post Doc with a strong background in video gamesand/or numerical analysis of ODEs/PDEs and/or computational neuroscience. The Lab focuses on developing new algorithms for the analysis of human and animal brain imaging data. These are based on computational models of neural dynamics and state of the art machine learning techniques. Particular emphasis is put on applications in Computational Psychiatry and developing models of brain pathology. Also, the Lab develops brain theories that can explain brain pathology, using theoretical tools from deepneural networks and Bayesian brain theories. The Post Doc shall conduct research in one or more of these areas. He/she will have the opportunity to shape the details of their project based on their specific interests. The successful candidate should have a PhD in applied mathematics, computational neuroscience, engineering or physics. Expertise in one or more modern scientific computing programming language (Python, Matlab or R) is essential. The candidate should also have familiarity with one or both of: i) the analysis of human and/or animal brain imaging data, and ii) computational modelling using numerical simulations of ordinary and/or partial differential equations or video game algorithms. For informal inquiries,please email Dr. Dimitris Pinotsis at pinotsis(a)mit.edu

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Feb 15 Application Deadline - 2020 Nengo Summer School
by Peter Blouw Feb. 9, 2020

Feb. 9, 2020

[All details about this school can be found online at https://www.nengo.ai/summer-school] The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 7th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. This two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Summer school participants will be given on-site access to Loihi, Intel’s neuromorphic research chip [1], and will learn to run high-level applications on Loihi using Nengo! More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems, and has been used to build what is currently the world's largest functional brain model, Spaun [2], which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at last year's summer school, check out this short video: https://www.youtube.com/watch?v=5w0BzvNOypc We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. [1] Davies, et al. (2018). Loihi: A neuromorphic manycore processor with on-chip learning. IEEE Micro. Vol. 38 no. 1 pp. 82-99. [ https://ieeexplore.ieee.org/document/8259423] [2] Eliasmith, C., Stewart T. C., Choo X., Bekolay T., DeWolf T., Tang Y., Rasmussen, D. (2012). A large-scale model of the functioning brain. Science. Vol. 338 no. 6111 pp. 1202-1205. DOI: 10.1126/science.1225266. [ http://compneuro.uwaterloo.ca/files/publications/eliasmith.2012.pdf] ***Application Deadline: February 15, 2020*** Format: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on building neuromorphic applications, modeling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: - interface Nengo with various kinds of neuromorphic hardware (e.g. Loihi, SpiNNaker, BrainDrop) - interface Nengo with (spiking and normal) cameras and robotic systems - integrate machine learning methods into biologically oriented models - implement modern nonlinear control methods in neural models - build perceptual, motor, and sophisticated cognitive models using spiking neurons - model anatomical, electrophysiological, cognitive, and behavioural data - use a variety of single cell models within a large-scale model - and much more… Date and Location: June 7th to June 19th, 2020 at the University of Waterloo, Ontario, Canada. Applications: Please visit https://www.nengo.ai/summer-school/, where you can find more information regarding costs, travel, lodging, along with an application form. We ask that you provide a short description of a possible project, and to briefly indicate how this project might make use of the tools and methods that the summer school will be covering, as listed above. If you have any questions about the school or the application process, please contact Peter Blouw (peter.blouw(a)appliedbrainresearch.com) The school is partially supported by Applied Brain Research, Inc. We look forward to hearing from you!

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Human Neocortical Neurosolver
by Stephanie Jones Feb. 8, 2020

Feb. 8, 2020

Greetings — We are happy to announce a methods on our new software Human Neocortical Neurosolver (HNN) for cell and circuit level interpretation of human electro- and magneto-encephalography (EEG/MEG) is now in press in eLife and will be highlighted in the next issue of eLife digest. https://elifesciences.org/articles/51214 Human Neocortical Neurolover (HNN), a new software tool for interpreting the cellular and network origin of human MEG/EEG data. Magneto- and electro-encephalography (MEG/EEG) non-invasively record human brain activity with millisecond resolution providing reliable markers of healthy and disease states. Relating these macroscopic signals to underlying cellular- and circuit-level generators is a limitation that constrains using MEG/EEG to reveal novel principles of information processing or to translate findings into new therapies for neuropathology. To address this problem, we built Human Neocortical Neurosolver (HNN, https://hnn.brown.edu) software. HNN has a graphical user interface designed to help researchers and clinicians interpret the neural origins of MEG/EEG. HNN's core is a neocortical circuit model that accounts for biophysical origins of electrical currents generating MEG/EEG. Data can be directly compared to simulated signals and parameters easily manipulated to develop/test hypotheses on a signal's origin. Tutorials teach users to simulate commonly measured signals, including event related potentials and brain rhythms. HNN's ability to associate signals across scales makes it a unique tool for translational neuroscience research. HNN is an NIH funded collaborative project and you can learn more at https://hnn.brown.edu. Best, Stephanie (on behalf of the HNN development team) ******************************************* Stephanie R. Jones, PhD Associate Professor Brown University Department of Neuroscience Stephanie_Jones(a)Brown.edu https://blogs.brown.edu/joneslab/ <https://blogs.brown.edu/joneslab/> Human Neocortical Neurosolver https://hnn.brown.edu <https://hnn.brown.edu/>

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[meetings] Call for papers SAB2020, 16th International Conference on the Simulation of Adaptive Behavior, Cergy-Paris University
by alexandre pitti Feb. 7, 2020

Feb. 7, 2020

Call for papers for the 16th International Conference on the Simulation of Adaptive Behavior (SAB2020) SAB 2020 : FROM ANIMALS TO ANIMATS 16 that will be held at Cergy-Paris University (near Paris), France 22-24 september 2020 + workshops day 21st https://sab2020.sciencesconf.org/ *Scope of the Conference* ========================= The objective of this interdisciplinary conference is to bring together researchers in computer science, artificial intelligence, artificial life, control, robotics, neurosciences, ethology, evolutionary biology and related fields in order to further our understanding of the behaviors and underlying mechanisms that allow natural and artificial animals to adapt and survive in uncertain environments. The conference will focus on experiments with well-defined models including robot models, computer simulation models and mathematical models designed to help characterize and compare various organizational principles or architectures underlying adaptive behavior in real animals and in synthetic agents, the animats. *Location* ========== Cergy-Paris University, close to Paris, France *Relevant Research Areas* ========================= SAB2020 solicits contributions dealing with any aspect of adaptive behavior in natural and artificial systems. Typical, but not exclusive, topics of interest are: The animat approach Motor control Body and brain co-evolution Self-assembling and self-replication Sensory-motor coordination Action selection and behavioral sequencing Navigation and mapping Internal models and representation Evolution, development and learning Collective and social behavior Applied adaptive behavior Motivation and emotion Communication and language Emergent structures and behaviors Neural correlates of behavior Evolutionary and co-evolutionary approaches Bio-inspired and hybrid robotics Autonomous robotics Humanoid robotics Cognitive and developmental robotics Software agents and virtual creatures Philosophical and psychological issues Animats in education *Conference Format* =================== Following the tradition of SAB conferences, the conference will be single track with additional poster sessions. There will also be a day of tutorials. *Important Dates* ================= The conference will be held between 22-24 Sep 2020 and the 21st of September will be dedicated to workshops and tutorials Submission deadline : 1st of April, 2020 Notification of Acceptance : 1st of May, 2020 Camera ready: 1st of June, 2020 workshops/tutorials: 21st of September, 2020 Venue: 22nd-24th of September, 2020 Workshop/Tutorial Proposal Deadline: 21st May, 2020 Workshop/Tutorial Notification of Acceptance: 31th May, 2020 *Paper Submission Instruction and Publication Details* ====================================================== Submitted papers must not exceed 12 pages. Detailed submission instructions are available from the conference website (https://sab2020.sciencesconf.org/ or soon http://www.sab2020.org/ ). Special Issue to Springer Lecture Notes in Artificial Intelligence All accepted papers with oral or poster presentation will be published in Springer Lecture Notes in Artificial Intelligence series conference proceedings. Selected authors may additionally be invited to submit extended versions for a conference Special Issue of the Journal of Adaptive Behavior. *Workshops & tutorials* ======================= The SAB2020 organizing committee invites proposals for workshops and tutorials, which will be held on the 21st of September, 2020. Instructions for preparing the tutorial proposal and further details on the tutorials will be found at http://www.sab2020.sciencesconf.org / http://www.sab2020.org/ *Best Paper Award* ================== Two best paper prizes will be awarded at the end of the conference to honour the authors of papers of exceptional merit. For more information please refer to the official SAB2020 website. *Further Information* ===================== Up-to-date information will be published on the website https://sab2020.sciencesconf.org/ and http://www.sab2020.org/ . For information about local arrangements, registration forms, etc., please refer to the website or contact the local organizers at the address below. * Organizers * ============== ISAB Philippe Gaussier General Chair, UCP Sofiane Boucenna Program Chair, UCP Nicolas Cuperlier Program Chair, UCP Alexandre Pitti Local Chair and Publicity Chair, UCP *Conference Address* ==================== Cergy-Pontoise, CY Cergy-Paris University. Site Les Chênes *Contact * ========== sab2020(a)sciencesconf.org Alex Pitti Maître de Conférence Laboratoire ETIS, CY Cergy Paris Université, ENSEA, CNRS, UMR8051 http://perso-etis.ensea.fr/alexpitt/

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Simula Summer School in Computational Physiology - Apply now!
by Kimberly McCabe Feb. 6, 2020

Feb. 6, 2020

Simula Summer School in Computational Physiology: *Models, Tools, and Techniques for Excitable Tissues* *Simula Research Laboratory, Oslo, Norway, June 15-26 University of California San Diego, La Jolla, CA, USA, August 10-18* Travel grants are available through Simula. In conjunction with the University of California San Diego, Simula Research Laboratory is pleased to announce the 7th edition of our annual Summer School in Computational Physiology. This school focuses on multiscale modelling of electrophysiology and mechanics of the heart, and related material in computational neurophysiology and pharmacology. We are currently seeking master's and early doctoral students to participate, and will accept applications until *February 21st 2020*. The initial series of lectures will be hosted by Simula Research Laboratory in Oslo, Norway (June 15th-26th), followed by project work, a workshop in scientific writing from *Nature Masterclasses*, and final student presentations hosted by the University of California San Diego from August 10th-18th. The travel and accommodation expenses for successful applicants will be supported by grants from Simula designed to cover these costs. Details regarding scheduling, logistics, core scientific material, and the application process can be found through our online call for participation: www.simula.no/sscp Contacts: · Scientific content: Kimberly McCabe (kimberly(a)simula.no) · General inquiries: sscp(a)simula.no

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GdR BioComp - Banyuls, France - May 3-7
by MASQUELIER Timothee Feb. 5, 2020

Feb. 5, 2020

The next BioComp conference will take place in Banyuls, in the south of France, from Sunday 3th May evening until Thursday 7th May noon. The goal of the BioComp conference is to facilitate interdisciplinary exchanges around bio-inspired hardware systems. The conference associates contributions from all concerned disciplines: biology, computational neuroscience, mathematics, computer architecture and computer systems, microelectronics, nanotechnology and physics. http://gdr-biocomp.fr/biocomp-conference-2020/ Call for abstracts If you'd like to speak or present a poster at BioComp2020, please send a title and abstract (15 lines max) to: gdr.biocomp(a)gmail.com<mailto:gdr.biocomp@gmail.com> BEFORE March 15th, specifying oral presentation or poster. We will inform you of the final decision before April 1st. Invited speakers * Fabrice Arcizet, Institut de la Vision, Retinas and other therapeutic strategies for visual restoration * Sylvain Barbay, C2N Palaiseau France, Microlasers for neuromorphic computing * Demian Battaglia, Institut de neuroscience des systèmes, Marseille, France, Dynamics and computation in the brain * Guillaume Bellec, EPFL, Lausanne, Switzerland, Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets * Michela Chiappalone, Istituto Italiano di Technologia, Genova, Closed-loop neuroprostheses to restore neuronal communication * Iulia Comsa, Google Research Zurich, Switzerland, Temporal coding in spiking neural networks * Maxence Ernoult, C2N et CNRS/Thales, Palaiseau France, Training Recurrent Neural Networks through Equilibrium Propagation * Yan Fang, Georgia Tech, USA, Materials that compute * Douglas McLelland, Brainchip, USA, Akida System on Chip for neural networks * Michel Paindavoine, Yumain, Dijon, Neuromorphic camera * Laurent Perrinet, Institut de Neurosciences de la Timone, Large scale neural network models of low-level vision, perception and action * Javier Porte, Femto-ST, Besançon France, Optical neural networks * Jean Rouat, Université de Sherbrooke, Canada, Spike Timing Dependent Plasticity * Sylvain Saïghi, IMS Bordeaux France, Presentation of Neurotech EU network * Aida Todri-Sanial, LIRMM Montpellier France, Oscillatory Neural Networks with 2D materials * Adrien Vincent, IMS Bordeaux France, Hardware Spiking Neural Networks * Mohammed Fouda, UCI Registration Registration is mandatory for all participants. The registration fee of 168€ covers : - For PhD students and post-docs: access to the conference room and poster sessions, coffee breaks, meals (except for the free evening) and accommodation. - For permanent researchers and industrialists: access to the conference room and poster sessions, coffee breaks, meals (except for the free evening). Registration procedure 1. Go to the registration page https://www.azur-colloque.fr/DR15/inscription/inscription/266 Attention: It is IMPERATIVE to go through the whole procedure to be correctly registered, and in particular to PAYMENT. It is not possible to return to the registration page afterwards to complete it! 2. The possible means of payment are : - credit cards, - order forms for French public institutions Make sure you have all the necessary information and the payment method you have chosen before starting the procedure. Thank you and see you soon under the sun of Banyuls! The BioComp team

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Expression of interest for a tenure track position at the Assistant and Associate Professor level (RTD-A, RTD-B, PA) - University of Genova
by Paolo Massobrio Feb. 5, 2020

Feb. 5, 2020

The Department of Computer Science, Bioengineering, Robotics and Systems Engineering (DIBRIS) of the University of Genova, Italy, invites expression of interest for tenure track positions in Bioengineering (ING-INF/06, ING-IND/34) at the Assistant and Associate Professor level (RTD-A, RTD-B, PA). Rank will be determined based on qualifications and experience. Specifically, we seek interested, highly motivated, and competent researchers with an excellent background in bioengineering, who are able to teach at both the bachelor level and master level in English. Research topics of interest should spot in particular: - Neuroengineering: tools and technologies for studying-interacting with the brain Neuro-electronic interfaces; Neural signal analysis; Computational neuroscience; Electrophysiology. Contact person: Sergio Martinoia ( <mailto:sergio.martinoia@unige.it> sergio.martinoia(a)unige.it) - Sensorimotor intelligence: devices, systems, and applications Bioengineering of active sensory acquisition and processing; Cognitive and social neuroscience; Translational vision science; Joint action; Action-perception transfer; Multisensory and cross-sensory issues. Contact person: Silvio P. Sabatini ( <mailto:silvio.sabatini@unige.it> silvio.sabatini(a)unige.it ) DIBRIS ( <http://www.dibris.unige.it/en/> www.dibris.unige.it/en/) a multidisciplinary department of the University of Genova, is looking for autonomous researchers interested to collaborate with other research groups and motivated to engage in all aspects of department activities. Interested researchers should apply by sending an e-mail to one of the appointed representatives listed above, for each research theme. Same, for questions or further information about this recruit process. Application must include: 1) Complete curriculum vitae 2) Statement of research, not exceeding 4 pages and focusing on the impact of the candidate's proposed research, the underlying questions, the approach(es) to be taken, and how it will synergize with other research activities within the Bioengineering group (see website or contact person for additional info) 3) Statement of teaching not exceeding 1 page 4) Names and complete contact information of at least three professional references. Complete applications should be received by February 29, 2020. _________________________________ Paolo Massobrio, PhD Associate Professor of Bioengineering Neuroengineering and Bio-Nano Technology Lab - NBT - Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS) University of Genova Via Opera Pia 13, 16145, Genova, ITALY Phone: +39 010 3532761 URL: <http://www.dibris.unige.it/> www.dibris.unige.it E-mail: <mailto:paolo.massobrio@unige.it> paolo.massobrio(a)unige.it

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Final reminder for participating in the Special Issue for the 15th Granada Seminar in Neurocomputing Journal (IF 4.072)
by Prof. Dr. Joaquín J. Torres Feb. 5, 2020

Feb. 5, 2020

Dear Colleague This is the final reminder for paper submission to the 15th Granada Seminar Special Issue we are editing in Neurocomputing journal (Q1, IF 4.072). If still you are interested to submit your contribution to this special issue, I would like to remember you that the final deadline for submissions has been extended to February 29th. Please follow the link below to submit your original contribution to this special issue: https://www.journals.elsevier.com/neurocomputing/call-for-papers/emergent-e… Once your are in the system in the "article type" choose "VSI: emergent effects in SNN" and continue the regular submission process Submission Final Deadline: February 29th 2020 Sincerely yours Joaquin J. Torres Guest Editor of the Special Issue -- Prof. Dr. Joaquín J. Torres Department of Electromagnetism and Physics of the Matter. Institute "Carlos I" for Theoretical and Computational Physics. University of Granada.

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Two PhD Positions at The University of Melbourne and Monash University, Australia
by David Grayden Feb. 5, 2020

Feb. 5, 2020

Creating subject-specific mathematical models to understand the brain The brain is a complex machine and brain function remains yet to be fully understood. This project works at the intersection of dynamical modelling, statistical signal processing, statistical inference and machine learning to develop subject specific mathematical models of the brain that can be used to infer brain states and monitor and image the brain. This work is centred around a neurophysiological variable estimation framework we have been developing that can be applied to all kinds of brain activity recordings. There are two projects to be completed under this program and we are looking for a different student for each of these projects. Project 1: specifically extend our neurophysiological variable estimation framework to different classes of neural population models validated from microscopic data. Project 2: specifically extend our neurophysiological estimation framework to coupled networks of neural population models applied to in vivo human recordings. These projects are critical for applications of our estimation framework to all kinds of neuroscientific studies (e.g. of rest, sensation, cognition, movement or abnormal behaviour) where different models and networks are more appropriate and parsimonious for different kinds of situations and will open new ways to understanding brain function. Please contact me directly if you are interested in applying. Regards, David Professor David B. Grayden Clifford Chair of Neural Engineering Dept of Biomedical Engineering Melbourne School of Engineering The University of Melbourne, Victoria 3010 Australia http://www.bme.unimelb.edu.au<http://www.bme.unimelb.edu.au/> | https://www.linkedin.com/in/dgrayden This email and any attachments may contain personal information or information that is otherwise confidential or the subject of copyright. Any use, disclosure or copying of any part of it is prohibited. The University does not warrant that this email or any attachments are free from viruses or defects. Please check any attachments for viruses and defects before opening them. If this email is received in error please delete it and notify us by return email.

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Two Research Fellow Positions at The University of Melbourne, Australia
by David Grayden Feb. 5, 2020

Feb. 5, 2020

Two postdoctoral research fellow positions are available at The University of Melbourne, Australia. Research Fellow in Neural Modelling - 2 year position (may be extended) at Junior (Level A) or Senior (Level B) Postdoc Salary Applications close: 27 Feb 2020 11:55 PM Australian Eastern Daylight Time (UTC+11) http://jobs.unimelb.edu.au/caw/en/job/902154/research-fellow-in-neural-mode… We are seeking a highly motivated Research Fellow to undertake a project aiming to develop mathematical frameworks bridging different scales of brain activities to provide a new tool for understanding the brain. This project will provide a framework to enable the creation of subject-specific neural circuit diagrams. The activities of microscopic neurons will be linked to macroscopic brain behaviour, providing a novel technique for neuroimaging. This technique will enable insights into brain function and provide potential benefits for understanding and treating neurological disorders as well as for the development of artificial intelligence (AI) technologies. The outcomes will have a significant impact on the treatment of neurological conditions in the future through greater understanding of diseases, improved diagnostics, and subsequent treatments. Rejane Langlois Postdoctoral Fellowship - 3 year position at Junior (Level A) or Senior (Level B) Postdoc Salary Applications close: 20 Feb 2020 11:55 PM Australian Eastern Daylight Time (UTC+11) http://jobs.unimelb.edu.au/caw/en/job/902038/rejane-langlois-postdoctoral-f… The Rejane Langlois Postdoctoral Fellowship seeks to further enhance Melbourne School of Engineering research at the interface of science, engineering and medicine. The Fellow will have the opportunity to undertake independent research as well as engage in broader collaborations within the Department of Biomedical Engineering. We are looking for outstanding candidates within one of our key research areas: biomaterials and tissue engineering; biomechanics and mechanobiology; bionics, biomedical imaging and neuroengineering or systems and synthetic biology. Regards, David Professor David B. Grayden Clifford Chair of Neural Engineering Dept of Biomedical Engineering Melbourne School of Engineering The University of Melbourne, Victoria 3010 Australia http://www.bme.unimelb.edu.au<http://www.bme.unimelb.edu.au/> | https://www.linkedin.com/in/dgrayden This email and any attachments may contain personal information or information that is otherwise confidential or the subject of copyright. Any use, disclosure or copying of any part of it is prohibited. The University does not warrant that this email or any attachments are free from viruses or defects. Please check any attachments for viruses and defects before opening them. If this email is received in error please delete it and notify us by return email.

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MBL Methods in Computational Neuroscience Course
by Stephen A. Baccus Feb. 4, 2020

Feb. 4, 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 Ila Fiete, University of Texas Austin 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 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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Doctoral Position at the Institute for Neural Computation - Ruhr University Bochum
by Vinita Samarasinghe Feb. 4, 2020

Feb. 4, 2020

Prof. Sen Cheng, Institute for Neural Computation at the Ruhr University Bochum, invites applications for a *Doctoral position (TV-L E13, 65%) in Computational Neuroscience. * The position starts as soon as possible and is funded for three years. *Job description* The research group is highly dynamic and uses diverse computationalmodeling approachesincludingbiological neural networks, cognitive modeling, and machine learning to investigatelearning and memory in humans and animals. For further information see www.rub.de/cns <http://www.rub.de/cns>. The successful candidate will develop and study computational models of episodic memory and spatial navigation. The models will be based on biologically plausible spiking neurons and will account for the generation and learning of complex behaviors. The research focus will be on modeling the influence of neuro- and psychopathologies on observable behavior. The candidate mayenrollin a doctoral program in neuroscience, psychology, physics, or electrical engineering – subject to enrollment requirements of the particular program. *Your Profile: * Candidates must have * an excellent university degreein neuroscience, psychology, physics, computer science, electrical/biomedical engineering or a related field, * relevant experience modeling biological neural networks, * excellent communication skills in English, and * the ability to work well in a team. Experience with research in neuro- and psychopathologieswould be a further asset. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation is an independent research unit and combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. Please send your application, including CV, transcripts and research statement electronically, as a single PDF file, to samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de>. In addition, at least two academic references mustbe sent independently to the above email address. The deadline for applications is February 29^th , 2020. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. Contact person: Vinita Samarasinghe, samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de> -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/26 Postfachnummer 110 Universitätstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27316 Email: samarasinghe(a)ini.rub.de

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PhD opportunities in Bristol University
by Conor Houghton Feb. 3, 2020

Feb. 3, 2020

The Bristol Computational Neuroscience Unit, University of Bristol is looking to recruit to a number of EPSRC-funded PhD studentships for a Sept/Oct 2020 start: the research areas considered include Computational Neuroscience and Machine Learning. We have a vibrant Computational Neuroscience group with strong collaborative links with local and international groups working in experimental neuroscience, in machine learning and cognitive science. We have interesting projects to offer in the areas of synaptic plasticity, neural data analysis, neural coding, reinforcement learning, neurolinguistics, cortical circuit and credit assignment. More details here: https://bristolcnu.github.io/research/ http://www.bristol.ac.uk/engineering/postgraduate/funding/sceem-studentship… Bristol is a great place to live and work and so we urge you to apply or to recommend this opportunity to suitable students. Anyone interested should contact one of us to discuss potential project and their application; there are notes on the application process below; the application would need to be submitted by 21st Feb 2020. All the best, Conor, Nathan, Cian, Rui and Laurence ___________ Note that unfortunately these studentships are subject to a UK residency requirement: (https://epsrc.ukri.org/skills/students/help/eligibility/) either home students, or EC nationals who have lived in the UK for three years prior to starting the PhD; if the three years have been spent in higher education, then they have to have been resident in the EEA or Switzerland immediately before this. Students should contact one of us before applying. The selection itself goes through a two step process, students are first accepted as PhD students and are then considered for funding. Applicants should apply via http://www.bristol.ac.uk/study/postgraduate/apply/ and selecting "Computer Science PhD", ensuring they submit a short research proposal outlining the research question or area they intend to focus on and a CV by the deadline.

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Undergraduate computational neuroscience research position
by Neymotin, Samuel (NKI) Jan. 31, 2020

Jan. 31, 2020

A new paid opportunity for an Army Research Office (ARO) sponsored undergraduate research apprenticeship program (URAP) position is available for the summer of 2020 at the Nathan Kline Institute for Psychiatric Research in Orangeburg, NY (https://www.nki.rfmh.org/) The research will be conducted under the mentorship of Samuel Neymotin, Haroon Anwar, and Salvador Dura-Bernal to help achieve the goals of an ARO grant (PI: Neymotin) that aims to train detailed thalamocortical circuit models to play video games using biologically-plausible learning rules, and to compare the models’ performance against commonly used deep reinforcement learning algorithms. Students will have the opportunity to learn cutting edge methods in computational neuroscience, machine learning, and Python software development, and potentially publish their research results. Candidates will be considered based on their experience in computational neuroscience, machine learning, and Python programming. Candidates must be located within commuting distance to Nathan Kline Institute during the apprenticeship period. To be considered, please click the link to “Apply Now” at https://www.usaeop.com/program/urap/ Make sure to use code U803 (Nathan Kline Institute for Psychiatric Research , NY). For questions, email Samuel.Neymotin(a)nki.rfmh.org<mailto:Samuel.Neymotin@nki.rfmh.org> For more information about the URAP visit: http://www.usaeop.com/<https://protect2.fireeye.com/v1/url?k=1b10bbdd-47344dbc-1b1242e8-0cc47a6d17…> ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation.

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5th EADM Summer School: Learning and decision making, 8-15 July, 2020
by Hrvoje Stojic Jan. 31, 2020

Jan. 31, 2020

SAVE THE DATE! Date: 8-15 July, 2020 Location: Universitat Pompeu Fabra, Barcelona, Spain Theme: Learning and decision making Eligible: Early career researchers Applications open: 15 February, 2020 Further details available at: https://ldmss.org The 5th EADM Learning and Decision Making summer school will take place from the 8th to the 15th of July and will cover a wide range of topics related to learning and decision making, including reinforcement learning, sampling biases, decisions from experience, function learning, category learning and social learning. Participants will receive advanced training and hands-on tutoring on various computational modeling approaches in learning and decision making from experts in the field and will get feedback on their latest research ideas in poster sessions. The academic syllabus will be complemented with social activities in and around Barcelona. Applications will open on the 15th of February! Confirmed faculty include: Mirta Galesic (Santa Fe Institute) Maarten Speekenbrink (University College London) Johannes Müller-Trede (IESE Business School) Henrik Olsson (Santa Fe Institute) G. Elliot Wimmer (University College London) Mehdi Keramati (City University) Elizaveta Konovalova (Max Planck Institute for Human Development) More coming soon! The organization team: Gael Le Mens (Universitat Pompeu Fabra) Emmanouil Konstantinidis (University of Warwick) Hrvoje Stojic (University College London) Pantelis P. Analytis (University of Southern Denmark) Mikhail Spektor (Universitat Pompeu Fabra) Feel free to contact us at: ldmss(a)protonmail.com or on Twitter @ldmsschool ----------------------------- Hrvoje Stojic, PhD Postdoctoral researcher University College London Website: http://hstojic.re/

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3 Year PhD or Postdoc position in Computational Neuroscience, Charles University, Prague
by Jan Antolik Jan. 31, 2020

Jan. 31, 2020

The newly formed Computational System Neuroscience Group is inviting applications for several fully funded PhD or Postdoc positions in Computational Neuroscience and Neuroinformatics at the Faculty of Mathematics and Physics, Charles University, Prague, starting September 2020 The studentships are ideal for students who want to apply their computational and analytical skills to problems in neuroscience and related fields. Successful candidates will have a strong background in numerical sciences, such as computer science, math or physics, and a keen interest in shaping the future of neuroscience. For the PhD positions no previous experience in neuroscience is required. A broad range of topics is available (see http://antolik.net/research) including but not limited to: large-scale spiking models of the early and higher visual system, machine learning techniques in visual neuroscience, developmental models of early sensory systems and development of tools for computational modelling. We encourage applicants to explore the work of the group <http://antolik.net/projects.html> by looking at its past and present projects. Interested candidates are invited to send their CV and a brief description of their interest in this position to antolikjan(a)gmail.com, to initiate discussions about potential PhD or Postdoc projects of interest.

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Ten Years Reproducibility Challenge / June 22, 2020 in Bordeaux, France
by Nicolas Rougier Jan. 31, 2020

Jan. 31, 2020

Dear all, There are two months left if you want to take up the "Ten Years Reproducibility Challenge” whose goal is to try to compile / run your old code (> 10 years) that accompanied one of your published article or preprint (see below). More information at: https://github.com/ReScience/ten-years/ Deadline: 01/04/2020 (https://github.com/ReScience/submissions) Workshop: 22/06/2020 (Bordeaux, France) List of declared participants: https://github.com/ReScience/ten-years/issues/1 Three papers already submitted (one published): https://github.com/ReScience/submissions/issues?q=is%3Aissue+is%3Aopen+labe… Nicolas Rougier --- Did you ever try to run an old code that you wrote for a scientific article you published years ago? Did you encounter any problems? Were you successful? We are curious to hear your story. This is the reason why we are editing a special issue of ReScience to collect these stories. The ten years reproducibility challenge is an invitation for researchers to try to run the code they've created for a scientific publication that was published more than ten years ago. This code can be anything (statistical analysis, numerical simulation, data processing, etc.), can be written in any language and can address any scientific domain. The only mandatory condition to enter the challenge is to have published a scientific article before 2010, in a journal or a conference with proceedings, which contains results produced by code, irrespectively of whether this code was published in some form at the time or not. Note that we do not ask you to write a new version of your old code. We ask you instead to try to make your old code to run on modern hardware/software (with minimal modifications) in order to check if you can obtain the exact same results that were publised at least ten years ago. Sounds easy? We have good reasons to think this might be more difficult than you think. And maybe the first problem you'll have to solve is to find your own source code. More information at: https://github.com/ReScience/ten-years/

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NEURONUS 2020 IBRO Neuroscience Forum (24-26 April 2020, Krakow, Poland)
by Michał Zaręba Jan. 29, 2020

Jan. 29, 2020

CALL FOR ABSTRACTS for NEURONUS 2020 IBRO Neuroscience Forum is open only UNTIL FEBRUARY 14! More information and registration forms can be found our website: http://neuronusforum.pl/. With prominent speakers and an unique atmosphere of one of the oldest and most beautiful Polish cities, NEURONUS IBRO Neuroscience Forums have established themselves in the European calendar of scientific events as a platform for communication between scientists from different fields of neuroscience. The program of the conference consists of numerous sessions on biological, cognitive, computational and medical aspects of neuroscience, creating a dynamic environment for sharing knowledge. The schedule of the meeting is further complemented with lectures by invited guests, and we invest a lot of effort to attract as influential neuroscientists as possible. This year’s keynote speakers include: - Karl Friston (University College London, the UK) - Pico Caroni (University of Basel, Switzerland) - Karin Roelofs (Radboud University Nijmegen, the Netherlands) - Alejandro Schinder (Leloir Institute, Buenos Aires, Argentina) - Adam Hampshire (Imperial College London, the UK) - Dayu Lin (New York University School of Medicine, the USA) Furthermore, a special panel concerning the Future of Neuroscience will be held. We have confirmed participation of three pioneering researchers: - Viktor Jirsa (Aix-Marseille University, France) - Panayiota Poirazi (Institute of Molecular Biology and Biotechnology, Heraklion, Greece) - Dominik Paquet (Ludwig Maximilian University of Munich, Germany) During the upcoming 11th edition of the conference, we will traditionally continue to put emphasis on development of early-career researchers. The main purpose of this event is to provide means for both young and experienced neuroscientists to share the latest discoveries, knowledge and experience in neuroscience, as well as make valuable contacts with scientists representing various fields of neurobiology. We actively promote young scientists through preferentially allocating oral presentations of their experimental results. We strongly encourage you to join this special initiative, and hope to see you in the pleasant spring scenery of Krakow! On behalf of the Organising Committee, Michał Zaręba

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Call for submissions for the special issue on "Reaching and Grasping the Multisensory Side of Dexterous Manipulation"
by Ivan Camponogara Jan. 29, 2020

Jan. 29, 2020

Dear List, In collaboration with the journal "Frontiers in Psychology", we are bringing together a selected group of international experts to contribute to an open-access article collection on: "Reaching and Grasping the Multisensory Side of Dexterous Manipulation" Guest Editors: Dr. Ivan Camponogara, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates Dr. Luigi F. Cuturi, Italian Institute of Technology (IIT), Genoa, Italy Dr. Simone Toma, Arizona State University, Tempe, United States Dr. Marco Santello, Arizona State University, Tempe, United States The submission deadline is 31 July 2020. Visit the collection homepage for the full description of the project: https://www.frontiersin.org/research-topics/12640 Kind Regards, Ivan Camponogara Topic Editor, Cognition Section, Frontiers in Psychology On behalf of the Topic Editors. -- Ivan Camponogara Postdoctoral Associate New York University Abu Dhabi (NYUAD) Office Tel (UAE): +971 2 628 4960 New York University Abu Dhabi, Saadiyat Campus Computational Research Building (A2), desk 144-B P.O. Box 129188 Abu Dhabi, United Arab Emirates ᐧ

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Postdoc position in systems neuroscience
by Tania Rinaldi Barkat Jan. 28, 2020

Jan. 28, 2020

Dear colleagues, The Brain and Sound Lab at Basel University is happy to announce a postdoc position in systems neuroscience for an ambitious, smart and self-driven scientist. A background in neuroscience, physics, computer science, mathematics or engineering is desirable. For more information , please check www.brainsoundlab.com<http://www.brainsoundlab.com> or contact tania.barkat(a)unibas.ch<mailto:tania.barkat@unibas.ch>. Best regards Tania. --------------------------- Tania Rinaldi Barkat Assistant Professor in Neurophysiology Basel University Department of Biomedicine, room 7001 Klingelbergstrasse 50-70 4056 Basel Switzerland +41 61 207 1638 www.brainsoundlab.com

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PostDoc position in Cognitive Developmental Neuroscience at Freie Universität Berlin
by Moritz Köster Jan. 26, 2020

Jan. 26, 2020

Dear colleagues, please find below the announcement for an open PostDoc Position on “visual perceptual processes and learning mechanisms in the infant brain” at Freie Universität Berlin. We would highly appreciate if you could forward this announcement to potentially interested candidates. With best regards, Moritz Köster --- Dr. Moritz Köster <https://www.ewi-psy.fu-berlin.de/einrichtungen/arbeitsbereiche/kulturvergl_…> Freie Universität Berlin *PostDoc position in Cognitive Developmental Neuroscience at Freie Universität Berlin* We seek for a highly qualified PostDoc (3 years, 100%, TV-L 13) to join us in investigating the development of early visual perceptual processes and learning mechanisms in the infant brain. The position will focus on the application of state of the art analysis-methods from cognitive neuroscience (e.g., neural oscillatory analyses, SSVEP, MVPA, connectivity analyses) to infant EEG data, to understand the development of the visual system in the first year of life. The scope of the project is within the cognitive developmental neuroscience, a highly dynamic, multidisciplinary, and rapidly growing field. The position is part of a DFG-funded project led by Dr. Moritz Köster at the Freie Universität Berlin, in collaboration with Prof. Stefanie Höhl (Vienna University) and Dr. Radoslaw Martin Cichy (Freie Universität Berlin). The post holder will be affiliated with the “Neural Dynamics of Visual Cognition” group at the Freie Universität Berlin. The main responsibilities will be performing cutting-edge EEG data analyses, publishing articles in high-ranked peer-reviewed journals, the supervision of data assessments, and the training and co-supervision of a PhD student (based at Vienna University). The preferred starting date is the 1st of March 2020 (but this date is flexible). Interested candidates should send a CV, a brief motivation letter, and the names and contact details of two academic references to moritz.koester(a)fu-berlin.de. All applications will be considered until the official closing date (soon announced on the job site of the University <https://www.fu-berlin.de/universitaet/beruf-karriere/jobs>), but later applications will be accepted until the position is filled. Informal requests can be sent to moritz.koester(a)fu-berlin.de at any time. *Requirements:* - PhD in Cognitive Neuroscience, Psychology, Biology, or a related discipline (completed or submitted) - Very good programming skills (preferentially Matlab) and experience with time series analyses (preferentially on EEG/MEG data) - Excellent command of written and spoken English *Desired:* - First-authored publications in cognitive (developmental) neuroscience - Experience with programming and conducting neuroscience studies - Theoretical knowledge and interest in cognitive neuroscience and/or developmental psychology - Experience in student supervision (Bachelor/ Master’s theses)

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