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CFP - 10th IEEE International Conference on Development and Learning (ICDL), Valparaiso Chile
by Nicolás Navarro-Guerrero 10 Feb '20

10 Feb '20

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

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

10 Feb '20

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 10 Feb '20

10 Feb '20

*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 10 Feb '20

10 Feb '20

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 10 Feb '20

10 Feb '20

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 09 Feb '20

09 Feb '20

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 09 Feb '20

09 Feb '20

[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 08 Feb '20

08 Feb '20

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 07 Feb '20

07 Feb '20

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 06 Feb '20

06 Feb '20

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 05 Feb '20

05 Feb '20

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 05 Feb '20

05 Feb '20

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 05 Feb '20

05 Feb '20

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 05 Feb '20

05 Feb '20

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 05 Feb '20

05 Feb '20

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 04 Feb '20

04 Feb '20

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 04 Feb '20

04 Feb '20

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 03 Feb '20

03 Feb '20

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) 31 Jan '20

31 Jan '20

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 31 Jan '20

31 Jan '20

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 31 Jan '20

31 Jan '20

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 31 Jan '20

31 Jan '20

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 29 Jan '20

29 Jan '20

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 29 Jan '20

29 Jan '20

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 28 Jan '20

28 Jan '20

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 27 Jan '20

27 Jan '20

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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Postdoc for theoretician to collaborate with experimentalists on hippocampal oscillations
by Canavier, Carmen C. 24 Jan '20

24 Jan '20

A postdoctoral position is available in the lab of Carmen Canavier at LSU Health Sciences Center in New Orleans. This is an exciting opportunity to participate as a theoretician in a synergistic loop with John White's experimental group at Boston University on gamma oscillations in excitatory and inhibitory neural networks. The successful candidate must be creative and able to work as part of a team. Both network level and single cell modeling using NEURON will be utilized in concert with nonlinear dynamics and other analytical methods to develop and test neural signatures of different oscillatory mechanisms. Quantitative training in Engineering, Physics, Mathematics or a related field is required, as well as some programming expertise. Some knowledge of neuroscience and familiarity with Linux is preferred. Please contact Dr. Canavier at ccanav(a)lsuhsc.edu if you are interested. The position is available immediately, but we are also interested in strong candidates who will graduate in the spring or summer.

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IMRF 2020 | CALL FOR ABSTRACTS | Deadline March 01, 2020
by Marc Ernst 24 Jan '20

24 Jan '20

**** IMRF 2020 | CALL FOR ABSTRACTS | Deadline March 01, 2020 **** IMRF - the International Multisensory Research Forum - is now accepting abstracts to be considered for poster and talk presentations at the IMRF 2020 Meeting. The IMRF 2020 is taking place in Ulm, Germany June 22-25, 2020. The IMRF hosts around 300 contributions from all over the world on topics of multisensory perception, ranging from neuroscience, cognitive science, psychology, computer science, behavioral biology and its applications. With this it is the major conference in this field. Abstracts should be submitted through the IMRF 2020 web-page <https://cops.ifp.uni-ulm.de/imrf2020/index.php/imrf-2020/registration-submi…>. They should be no more than 300 words. Each individual may present only one contribution. Presenters should be first author. An author can be co-author on more than one contribution. Submission Deadline: March 1, 2020 Decisions will be made by end of March. Registration will open shortly. For more information see the IMRF 2020 web-page <https://cops.ifp.uni-ulm.de/imrf2020/index.php> You can submit your abstracts here <https://cops.ifp.uni-ulm.de/imrf2020/index.php/imrf-2020/registration-submi…>. Looking forward to see you in Ulm later this year, On behalf of the IMRF 2020 organizing team --------------------------------------------------------- Prof. Dr. Marc Ernst Appl. Cognitive Psychology Faculty for Computer Science, Engineering, and Psychology Ulm University Albert-Einstein-Allee 43 89081 Ulm room: 43.3.103 phone: +49-731-50 320 50 sekr: +49-731-50 320 51 fax: +49-731-50 320 59 mobile: +49-152-22 543 156 marc.ernst(a)uni-ulm.de <mailto:marc.ernst@uni-ulm.de>

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NeuroBridges 2020 School announcement
by Ahmed El Hady 24 Jan '20

24 Jan '20

*/NeuroBridges 2020 Summer school , Cluny, France/* */( September 6th - September 17th, 2020)/* *//* I would like to bring to your attention the NeuroBridges 2020 Summer School <http://decision-making-lab.com/NeuroBridges/neurobridges2020.html> <http://decision-making-lab.com/NeuroBridges/neurobridges2020.html> NeuroBridges <https://www.facebook.com/NeuroBridges/>is a one-of-a-kind series of scientific meetings in brain research, which brings together Mediterranean and Middle Eastern scientists, in order to promote international scientific cooperation in system and computational neuroscience. A major goal of this school is to serve as a bridge between experimental and theoretical neuroscientists, addressing system-level questions. This year the school will primarily focus on the neural basis and computational principles underlying decision making. *The forthcoming NeuroBridges 2020*will be a ten-day summer school. Students will attend lectures delivered by a group of leading neuroscientists, experimentalists as well as theoreticians, which will address the fundamental questions in the field of decision making. In addition to the lectures, the students will work in groups on small research projects. The school is intended for graduate students and postdocs, primarily (but not only) from the Middle East and the Mediterranean region either working in their home countries or abroad. We will consider applicants with some background in related fields in neuroscience or cognitive psychology. Through the online application system, you will be asked to provide personal details, academic background, a motivation letter that should include a paragraph about your quantitative skills and a CV. In addition, we request two recommendation letters. The school will take place between *September 6 and September 17, 2020* in Le Centre de Conferences Internationales de Cluny (CCIC) <http://www.ccic.eu/index.html>. Cluny is a small medieval town in Burgundy, France, located about 400km southeast of Paris (accessible by fast train, TGV). All costs of registration and accommodation will be covered by the organizers. A limited number of travel grants will also be available. *NeuroBridges* is co-organized by Ahmed El Hady <http://scholar.princeton.edu/ahmedelhady/home> (Princeton Neuroscience Institute, USA), Yonatan Loewenstein <http://elsc.huji.ac.il/loewenstein/home>(Hebrew University of Jerusalem, Israel) and David Hansel <https://neurophys.biomedicale.parisdescartes.fr/members/david-hansel/> (CNRS, Paris, France). Review of applications will end in May 2020. *2020 Faculty:* Carlos Brody (Princeton) <https://pni.princeton.edu/faculty/carlos-brody> Ahmed El Hady (Princeton) <http://scholar.princeton.edu/ahmedelhady/home> David Hansel (CNRS) <https://neurophys.biomedicale.parisdescartes.fr/members/david-hansel/> Ifat Levy (Yale) <https://medicine.yale.edu/profile/ifat_levy> Yonatan Loewenstein (Hebrew U.) <https://elsc.huji.ac.il/faculty-staff/yonatan-loewenstein> Najib Majaj (NYU) <https://www.researchgate.net/profile/Najib_Majaj> Mike Shadlen (Columbia U.) <https://neuroscience.columbia.edu/profile/michaelshadlen> Eyal Winter (Hebrew U.) <http://www.ma.huji.ac.il/%7Emseyal/> Yoram Yovell (Hadassah Hebrew U. Medical Center) <http://yovell.co.il/en/> The deadline for application is *April 1st, 2020 *and the following is the website including the link for the online application: http://decision-making-lab.com/NeuroBridges/neurobridges2020.html <http://decision-making-lab.com/NeuroBridges/neurobridges2019.html> <http://decision-making-lab.com/NeuroBridges/neurobridges2019.html> For more information, please contact neurobridges2020(a)gmail.com <mailto:neurobridges2018@gmail.com>.

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[jobs] several positions in embodied computational models of body representations @CTU Prague
by Matej Hoffmann 23 Jan '20

23 Jan '20

** *Dear colleagues, * * there are several positions open in the humanoid, cognitive, neuro-, and collaborative robotics group coordinated by Dr. Matej Hoffmann (https://sites.google.com/site/matejhof/) at the Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague. The positions include PhD, post-doc, and tenure-track. Group webpage: https://cyber.felk.cvut.cz/research/groups-teams/humanoids/ The topics are in the context of the newly starting 5-year project entitled “Whole-body awareness for safe and natural interaction: from brains to collaborative robots” for excellence in fundamental research from the Czech Science Foundation (see https://cyber.felk.cvut.cz/news/new-gacr-expro-project <https://cyber.felk.cvut.cz/news/new-gacr-expro-project/>for more information) and include: * Employing humanoid robots with artificial skin to construct embodied computational models of body and peripersonal space representations * Neural network models of multisensory integration and peripersonal space * Physical human-robot interaction with special focus on tactile and proximity sensing * Social human-robot interaction focusing on touch and interpersonal distance Open positions: PhD student. The topic will be co-defined with the student depending on his skills and interests. The standard duration of the PhD study is 4 years. The funding corresponds to a gross salary of CZK 40 000 per month (approx. 1600 EUR), plus direct bonuses for scientific achievements such as top-tier publications. Postdoc. The postdoc will independently conduct research and will also be involved in shaping the research of the group and supervising students. The gross salary will be in the range of CZK 50 000-70 000 per month (approx. 2000-2700 EUR) depending on qualification, plus direct bonuses for scientific achievements such as top-tier publications. Tenure-track. This position is open in the humanoids group or in the broader context of Vision for Robotics and Autonomous Systems group (https://cyber.felk.cvut.cz/research/groups-teams/vras/) and the Research Center For Informatics (http://rci.cvut.cz/) Robots and infrastructure The humanoids group has at its disposal several humanoid robots (iCub - procurement being finalized, 2 Naos - 1 with whole-body sensitive skin) and collaborative or lightweight manipulators (KUKA LBR iiwa, UR10e with Airskin, Kinova Gen3). Additional infrastructure includes several robot hands (Barrett Hand BH8-282, QB Soft Hand) and grippers, a 3D Motion Capture System, Impact measuring devices (GTE), and integrated devices for collaborative robots (http://smartrobots.it/) The group has also access to the facilities of the Research Center for Informatics such as a high-performance computational cluster. International collaborations There is a large group of international experts who have agreed to act as collaborators/advisors on the project. These include experts in - developmental psychology: Dr. Kevin O’Regan (CNRS, Paris), Prof. Jeffrey J. Lockman (Tulane University, New Orleans) - cognitive psychology and neuroscience: Prof. Matthew Longo (Birkbeck University, London), Prof. Tobias Heed (Bielefeld), Prof. Andrea Serino (University of Lausanne), Dr. Jean-Paul Noel (Center for Neural Science at New York University), Drs. M.Gori and Giulia Cappagli (Italian Institute of Technology, Dr. S. Signorini (IRCSS Fondazione Mondino Pavia) - physical human-robot interaction: Prof. Sami Haddadin (TU Munich), Dr. Arash Ajoudani (Italian Institute of Technology), Dr. Michael Zillich (Blue Danube Robotics – manufacturer of Airskin) - social human-robot interaction: Dr. Alessandra Sciutti (Italian Institute of Technology), Dr. Hagen Lehmann (University of Macerata) How to apply. The application should include: ** -**Motivation letter (max. 1 page) ** - *CV (including 2 reference persons)* ** -***1 Letter of recommendation (can be from 1 of the reference persons above)*** Please send the applications or inquiries to matej.hoffmann(a)fel.cvut.cz <mailto:matej.hoffmann@fel.cvut.cz>with (“[PhD / Postdoc / tenure-track] application” in the subject). The positions are open until filled. Best regards, Matej Hoffmann * -- Matej Hoffmann, PhD Assistant Professor Department of Cybernetics Faculty of Electrical Engineering Czech Technical University in Prague https://sites.google.com/site/matejhof/home +420 224 357 387

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PhD and MSc Opportunities in Computational Neuroscience and Neuroimaging at the University of Toronto
by John Griffiths 23 Jan '20

23 Jan '20

The Whole Brain Modelling Group (PI Dr. John Griffiths; www.grifflab.com) at the CAMH Krembil Centre for Neuroinformatics ( www.krembilneuroinformatics.ca) and University of Toronto is looking for PhD and MSc students with a strong background in computational neuroscience and/or neuroimaging. The focus of the Group’s work is computational models of large-scale brain activity, with particular emphases on neural dynamics as measured by M/EEG and fMRI, oscillations, brain stimulation (TMS, TDCS), neural plasticity, and macro-connectomics. The student shall conduct research in one or more of these areas. They will have the opportunity to shape the details of the project based on their specific interests, as well as to contribute to other ongoing projects on a range of topics, including: neuroinformatics of whole-brain modelling, mapping and modelling anatomical connectivity and microstructure with DWI in relation to ageing and stroke, and multi-scale modelling of the thalamocortical system in relation to sleep, pharmacological neuromodulation, and neuropsychiatric disease. The successful candidate should have, minimally, an undergraduate degree in neuroscience, engineering, physics, mathematics, psychology, or related area, and a demonstrable track record of research experience and interest in computational neuroscience and/or neuroimaging. Expertise in one or more modern scientific computing programming language (Python, Matlab, Julia, R, C++) is essential. The candidate should also have familiarity with one or both of: i) neuroimaging data analysis (s/d/fMRI and/or M/EEG), and ii) computational modelling using numerical simulations (particularly modelling of neural population activity with mean-field/neural mass/neural field techniques, either with custom implementations or with tools such as The Virtual Brain Platform or Dynamic Causal Modelling). Full details of the position and application instructions can be found at www.grifflab.com/positions/ For informal inquiries, please email Dr. John Griffiths at john.griffiths(a)camh.ca with the title “PhD in Whole Brain Modelling” in the subject line ( Note: students interested in a September 2020 start at the University of Toronto should get in touch immediately to leave time for approaching application deadlines ) -- Dr. John D. Griffiths Independent Scientist @ Krembil Centre for Neuroinformatics, CAMH, Toronto Assistant Professor @ Department of Psychiatry, University of Toronto www.grifflab.com

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[publication and call for dialog] IEEE CIS Newsletter on Cognitive and Developmental Systems
by Pierre-Yves Oudeyer 23 Jan '20

23 Jan '20

Dear colleagues, we are happy to announce the release of the latest issue of the IEEE CIS Newsletter on Cognitive and Developmental Systems (open access). This is a biannual newsletter addressing the sciences of developmental and cognitive processes in natural and artificial organisms, from humans to robots, at the crossroads of cognitive science, developmental psychology, artificial intelligence, machine learning and neuroscience. It is available at: https://goo.gl/NAwBfD Featuring dialog: === "Curiosity as Driver of Extreme Specialization in Humans" == Dialog initiated by Celeste Kidd with responses from: Elizabeth Bonawitz, Maya Zhe Wang, Brian Sweis, Benjamin Hayden, Susan Engel, Abigail Hsiung, Shabnam Hakimi, Alison Adcock, Moritz Daum, Arjun Shankar, Tobias Hauser, Goren Gordon and Perry Zurn == Topic: Curiosity-driven learning is probably one of the most fundamental mechanisms in human learning, and yet it is also probably one of the least understood. Broadly construed as spontaneous exploration and engagement with activities or material without any extrinsic goal (as opposed to searching for information useful for an extrinsic goal), many mysteries remain to be uncovered. What are the causal links between curiosity and learning? How does prior knowledge about a topic or an activity relates to curiosity about this topic? What is the role of curiosity in life-span development? Can human curiosity explain the apparently unique tendency of humans for extreme specialization? Reversely, how do different forms of curiosity (diversive or specific) evolve as children grow up and become adults? While early computational models of curiosity propose theoretical approaches to understand their cognitive mechanisms, how can we understand the affective/ emotional dimensions of curiosity? And how has the linguistic concept of “curiosity” evolved in occidental culture? Call for new dialog: === « Leveraging Adaptive Games to Learn How to Help Children Learn Effectively" == Dialog initiated by George Kachergis == Topic: How can one achieve efficiently “translational educational sciences” and get these principles used in real-world large-scale educational technologies? In this dialog, Georges Kachergis highlights challenges related to collaborations between cognitive scientists and game developers, how to deploy real world experiments, and how to enable scientific understanding when many variables cannot easily be controlled? Those of you interested in reacting to this dialog initiation are welcome to submit a response by December 15th, 2018. The length of each response must be between 600 and 800 words including references (contact pierre-yves.oudeyer(a)inria.fr) Let us remind you that all issues of the newsletter are all open-access and available at: https://goo.gl/ZjjZNz I wish you a stimulating reading! Best regards, Pierre-Yves Oudeyer, Editor of the IEEE CIS Newsletter on Cognitive and Developmental Systems Research director, Inria Head of Flowers project-team Inria and Ensta ParisTech, France http://www.pyoudeyer.com Twitter: https://twitter.com/pyoudeyer and Fabien Benureau, Editorial Assistant Cognitive NeuroRobotics Unit, Okinawa Institute of Science and Technology 1919-1 Tancha, Onna, Okinawa Japan Email: fabien.benureau [at] oist [dot] jp

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UK PhD opportunities in Computational/Mathematical Biology or Neuroscience (EPSRC funded, 3.5 yrs, Sept 2020 start)
by James Rankin 23 Jan '20

23 Jan '20

*PhD in Computational/Mathematical Biology or Neuroscience (EPSRC funded, 3.5 yrs, Sept 2020 start) * There are a number projects proposed in Computational and Mathematical Biology or Neuroscience in the following call (follow Research Theme link to Mathematical biology and medicine). General information & apply (funding is primarily targeted at currently UK-based students): http://www.exeter.ac.uk/studying/funding/award/index.php?id=3830 Deadline is soon: 30th January. Contact: j.a.rankin(a)exeter.ac.uk or m.goodfellow(a)exeter.ac.uk

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postdoc position in reinforcement learning and decision making
by Gershman, Samuel Joseph 22 Jan '20

22 Jan '20

The Computational Cognitive Neuroscience Lab at Harvard University (Director: Sam Gershman) is seeking 1-2 postdoctoral fellows to work in the area of reinforcement learning and decision making. The start date is on or after October 1, 2020. The position is for 3 years. Requirements for this position are: (1) Experience with fMRI and/or human behavioral experiments. (2) A strong technical background in Bayesian and reinforcement learning models. Interested applicants should e-mail gershman(a)fas.harvard.edu<mailto:gershman@fas.harvard.edu> with a CV, statement of interest (not to exceed 2 pages), and a link to a publications page. For more information on the lab's research, please visit http://gershmanlab.webfactional.com/ Harvard is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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Phd position in perceptual decision making @ TU Darmstadt
by Jäkel, Frank 22 Jan '20

22 Jan '20

The Models of Higher Cognition group (PI: Frank Jaekel) at the TU Darmstadt Centre for Cognitive Science is looking for a PhD student in the area of perceptual decision making. In a joint DFG-project with the Neurophysiology group at the University of Mainz (PI: Maik Stuettgen) we are investigating neural and cognitive processes underlying criterion learning. We are looking for candidates who are interested in theory and modeling (signal detection theory, probabilistic models, reinforcement learning, neural networks) as well as psychophysical experiments in humans. Informal inquiries can be sent to jaekel(a)psychologie.tu-darmstadt.de<mailto:jaekel@psychologie.tu-darmstadt.de>. More information on the Models of Higher Cognition group can be found here: https://www.psychologie.tu-darmstadt.de/mhc and the full job ad is here: https://www.tu-darmstadt.de/universitaet/karriere_an_der_tu/stellenangebote…

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Two fully-funded PhD positions on infant neuroimaging and computational modelling at Trinity College Dublin, Ireland
by Lorijn Zaadnoordijk 22 Jan '20

22 Jan '20

Join us! Two PhD fully-funded scholarships are available to study the foundations of cognition using infant neuroimaging and computational modelling. Apply before Jan 31 for China Scholarship Council funding, or before Mar 1 for funding from our ERC FOUNDCOG project. How does the human mind develop? The FOUNDCOG team will address this question using neuroimaging of infants, in their critical first year after birth, to capture the development of the brain and its functions. We will interpret the results by comparing them to computational models of learning from artificial intelligence. In addition to characterising the development of the human mind, we aim to understand how it is disrupted by brain injury and to produce new diagnostic tools for neonatologists. 1) PhD Scholarship in Infant Neuroimaging, to start in September 2020 2) PhD Scholarship in Computational Modelling, to start in September 2020 · Includes fees, stipend and travel for 4 years, with funding from the ERC FOUNDCOG project · Excellent candidates from outside of the EU will also be considered · Selection will begin in March 2020, and the position will remain open until filled For more information, see: http://cusacklab.org/vacancies.html

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study abroad programs in Budapest
by Balazs Ujfalussy 22 Jan '20

22 Jan '20

Dear All: BSCS-US announces its two programs in Budapest for 2020. 1. Our regular program: BSCS - BUDAPEST SEMESTER IN COGNITIVE SCIENCE: FROM PHILOSOPHY TO NEUROSCIENCE will be held in the Fall of 2020, see http://www.bscs-us.org/ <http://www.bscs-us.org/>. Program start/end dates August 31 - December 4, 2020. Inquiry: bscs(a)bscs-us.org <mailto:bscs@bscs-us.org> 2. We have also a summer program Systems Neuroscience: a study abroad summer program http://www.sysneuro-semester.org/ <http://www.sysneuro-semester.org/> Program start/end dates June 15 - Aug 7, 2020 The BSCS Systems Neuroscience Program takes place at and academically supervised by the Department of Anatomy, Histology and Embryology, Semmelweis University Medical School, Budapest Inquiry: Péter Érdi (SysNeuro Director; BSCS Co-Director) perdi(a)kzoo.edu <mailto:perdi@kzoo.edu> bscs(a)bscs-us.org <mailto:bscs@bscs-us.org>

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Save the date! UK Neural Computation 2020 June 22nd-24th in Sheffield
by Hannes Saal 21 Jan '20

21 Jan '20

Save the date! We are pleased to announce the 2nd annual UK Neural Computation conference, June 22nd-24th 2020, at the University of Sheffield This is a national meeting for the UK community working on the computational side of neuroscience, which last year attracted more than 130 researchers. Same basic format as last year, so we will have modelling, maths, data science, theory, machine-learning, and all combinations thereof. Schedule: June 22nd: Tutorials and seminars for early career researchers June 23rd-24th: Main meeting Confirmed speakers for the main meeting: Rui Ponte Costa (Bristol) Dan Goodman (Imperial) Marc de Kamps (Leeds) Leah Krubitzer (UC Davis) Peggy Series (Edinburgh) Huiling Tan (Oxford) Yulia Timofeeva (Warwick) Mark Van Rossum (Nottingham) Keynote: David Willshaw (Edinburgh) For further details, see the website: http://neuralcomputation.uk/ Please look out for the abstract submission and registration announcement, coming soon. Hope to see you there! Hannes Saal (Sheffield) Robert Schmidt (Sheffield) Stuart Wilson (Sheffield) Mark Humphries (Nottingham)

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Industrial Ph.D. on Machine Learning in cognitive rehabilitation (La Rioja, Spain). Deadline January 31, 2020
by Asier Erramuzpe Aliaga 21 Jan '20

21 Jan '20

[Apologies for cross-posting] Industrial Ph.D. position on Machine Learning in cognitive rehabilitation (La Rioja, Spain) Neuronup is a leading company for cognitive rehabilitation working with several thousands of patients worldwide. More information at https://app.neuronup.com/assets/pdf/info/info_en_US.pdf and https://www.neuronup.com/en/ The Neuronup headquarters are located in Logroño, the capital of the region La Rioja, Spain. Logroño is a Northen city in Spain which is only 1.30h far from Bilbao-Basque Country, 1.50h from San Sebastian-Basque Country, 1h from Pamplona-Navarre Duration of the contract: 3 years, 40 h a week Gross salary: 24K EUR Cost of living in Logroño <https://www.numbeo.com/cost-of-living/in/Logro%C3%B1o-Logrono-Spain> Requisites (all the applicants must have): R1. Degree in Computer Science or Telecommunications Engineering R2. MSc in Computer Science or Telecommunications Engineering. R3. Average marks of first degree of 7.5/10 or higher. R4. Experience in Python and R R5. Have a permanent residence in Europe R6. C1 English Level The applicant will finalize an Industrial Ph.D. in Machine Learning in Health, funded by the CDTI-project "Digital solutions for rehabilitation and cognitive stimulation in neuropsychology" Tasks to perform during the Ph.D.: T1. Development of prediction models. T2. Classification and categorization of patients. T3. Model validation. T4. Multi-dimension data visualization T5. Integration of developed tools into the Neuronup database and search engine. *Interested applicants send an updated CV and two reference letters to neuronup(a)neuronup.com <neuronup(a)neuronup.com> before January 31, 2020*

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Deadline extension: Special Entropy Issue "Information Theory in Computational Neuroscience"
by Dimitrije Markovic 20 Jan '20

20 Jan '20

Dear Colleagues, We cordially invite you to submit a manuscript for possible publication in a Special Issue on "Information Theory in Computational Neuroscience" to be published in the journal Entropy (ISSN 1099-4300, IF 2.419, http://www.mdpi.com/journal/entropy) The aim of the Special Issue is to bring together neuronal models and neuronal plasticity mechanisms that are grounded in information theory principles, modern inference, and learning algorithms. We welcome submissions that use information theory as the basis for defining generative principles of neuronal dynamics over multiple spatio-temporal scales, which informs our understanding of information processing in the brain. You can see full details of the scope and submission details at: https://www.mdpi.com/journal/entropy/special_issues/Computational_Neuroscie… The new submission deadline is 31 March 2020. You may send your manuscript at any time before the deadline or a bit later. Submitted papers should not be under consideration for publication elsewhere. Entropy is fully open access. Open access (unlimited and free access by readers) increases publicity and promotes more frequent citations, as indicated by several studies. Please kindly note that an Article Processing Charge (APC) of CHF 1600 currently applies to all accepted papers. Fortunately, it is noticed that your institute have already had a central open access fund established in MDPI's Institutional Open Access Program, it means you do not have to pay the publication fees and your institute will cover it for you if you submit your papers to MDPI journals (see details at: <http://www.mdpi.com/about/ioap><http://www.mdpi.com/about/ioap>). You may contact your library and confirm this. Please do not hesitate to come back to us if there is anything further that we can help with. We look forward to hearing from you. Kind regards, Dimitrije Markovic and Claudius Gros ============================= Dr. Dimitrije Markovic Post-Doc at Technische Universität Dresden, Department of Psychology, Dresden, Germany Lab website: https://tu-dresden.de/mn/psychologie/ifap/ni Phone: +49-351-463-43146 Personal website: http://dimarkov.github.io/ =============================

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Conference on Curiosity, Creativity, and Complexity, NYC, May 18-19
by Pierre-Yves Oudeyer 20 Jan '20

20 Jan '20

On May 18-19 2020, Columbia University in New York will host a conference on Curiosity, Creativity, and Complexity, catalyzing interdisciplinary discussion on these topics across neuroscience, psychology, artificial intelligence, and economics. Registration opens mid-February. Faculty, students, and postdocs are welcome to attend. Full details and updates: https://zuckermaninstitute.columbia.edu/curiosity-creativity-and-complexity… <https://zuckermaninstitute.columbia.edu/curiosity-creativity-and-complexity…>

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Okinawa/OIST Computational Neuroscience Course 2020: application deadline approaching
by Erik De Schutter 20 Jan '20

20 Jan '20

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2020 Methods, Neurons, Networks and Behaviors June 29 to July 16, 2020 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 29th through July 16th, 2020 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc) only; January 1 - February 2, 2020. Applicants will receive confirmation of acceptance in March. Like in preceding years, the 17th OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and provides partial travel support. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Michael Berry II (Princeton University, USA) • Tiago Branco (Sainsbury Wellcome Centre, London, UK) • Zenas C Chao (University of Kyoto, Japan) • Erik De Schutter (OIST) • Kenji Doya (OIST) • Gaute Einevoll (Norwegian University of Life Sciences, Norway) • Tomoki Fukai (OIST) • Boris Gutkin (Ecole Normale Supérieure, Paris, France) • Bernd Kuhn (OIST) • Devika Narain (Erasmus Medical Center, Rotterdam, Netherlands) • Alex Pouget (University of Geneva, Switzerland) • Ivan Soltesz (Stanford University, USA) • Saori C. Tanaka (ATR, Japan) • Tatjana Tchumatchenko (Max Planck Institute for Brain Research, Frankfur, Germany) • Marylka Yoe Uusisaari (OIST)

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CNS*2020: Abstract Submission and Registration Open
by Martin Zapotocky 15 Jan '20

15 Jan '20

Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA *Call for Abstracts** **29th Annual Computational Neuroscience Meeting (CNS*2020)** **Melbourne, Australia** **July 18--22, 2020* *Local Organizers:* Anthony N. Burkitt (Chair), Mark Cook, Alex Fornito, David Grayden (Treasurer), Luan Ismahil, Tatiana Kameneva, Levin Kuhlmann, Hamish Meffin The main meeting begins the evening of Saturday July 18 and runs through Tuesday July 21. It will be preceded by a day of tutorials (Saturday July 18) and followed by workshops (Tuesday July 21 mixed with the main meeting and Wednesday July 22 workshops only). *Keynote Speakers:* *Matt Botvinick*, /DeepMind Technologies/ *Zhaoping Li*, /Max Planck Institute for Biological Cybernetics/ *Geoff Goodhill*, /The University of Queensland/ *Daniel Polani*, /University of Hertfordshire/ Registration and abstract submission are open. *Abstract submission deadline: March 4, 2020. * Note that one of the authors must register as sponsoring author for the main meeting *before abstract submission*. In case the abstract is not accepted for presentation, the registration fee will be refunded. Submitted abstracts are used for creating the program and for publication. Please follow the formatting guidelines on the submission site. Travel awards are available for student and postdoc members of OCNS. Please apply using the drop-down box on the abstract submission form and note that an extended abstract is required when applying for a travel award or oral presentation format. Registration: https://ocns.memberclicks.net/index.php?option=com_mc&view=mc&mcid=form_265… Abstract Submission for Main Meeting: https://www.cnsorg.org/cns-2020-abstract-submission Workshop proposals are being accepted at: https://www.cnsorg.org/cns-2020-call-for-workshops Tutorial proposals are being accepted at: https://www.cnsorg.org/cns-2020-call-for-tutorials For up-to-date conference information, please visit: https://www.cnsorg.org/cns-2020-quick -------------------------------------------------------------------------------------------------------------------------------- OCNS is the international member-based society for computational neuroscientists. Become a member to be eligible for travel awards and more. Visit our website for more information: http://www.cnsorg.org --------------------------------------------------------------------------------------------------------------------------------

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Call for papers: ICLR workshop on Bridging Cognitive Science and AI
by Jessica Hamrick 15 Jan '20

15 Jan '20

Dear all, Aida Nematzadeh, Kaylee Burns, Alison Gopnik, Josh Tenenbaum, Emmanuel Dupoux and I are organizing a workshop that will be held at the International Conference on Learning Representations (ICLR) 2020. The goal of the workshop will be to showcase research in AI that is inspired by human cognition, as well as cognitive models that leverage AI to provide insight into various aspects of human learning and processing. Please see below for our call for papers. We hope to see some of you there! Cheers, Jess Call for Papers We are pleased to invite papers to our workshop at ICLR 2020, titled “Bridging AI and Cognitive Science”: https://baicsworkshop.github.io/ Cognitive science and artificial intelligence (AI) have a long-standing shared history. Indeed, even today many researchers have an interest in performing multidisciplinary research across the two fields. To this end, our workshop aims to inspire connections between AI and cognitive science across a broad set of topics, including perception, language, reinforcement learning, planning, human-robot interaction, animal cognition, child development, and reasoning. We are sourcing short, four-page papers (deadline: February 5, 2020) from cognitive science, neuroscience, and AI across two tracks: The Research track will highlight advances at the intersection of AI, cognitive science, and neuroscience. We welcome submissions on: - AI systems which draw inspiration from natural intelligence, - Computational models of natural intelligence that leverage methods from AI, - Demonstrations of failure cases of AI systems where humans or animals succeed, - Datasets or environments for AI systems which target a particular aspect of natural intelligence, or - Papers which address privacy and fairness in machine learning, using insights from the behavioral sciences, or - Works which otherwise combine AI and cognitive science. The Blue Sky Ideas track will showcase longer-term ideas or positions on ways to connect AI with cognitive science. While we will not require such ideas to be fully instantiated in a working system, we do expect them to be grounded in empirical or computational evidence. We welcome submissions on: - Aspects of cognition which are under-explored in AI, - The order in which the research community should solve cognitive tasks in AI, - How research in AI could inform research in cognitive science, - Survey papers which summarize one area of research in AI or cognitive science for researchers in the other field, or - Works which otherwise propose a longer-term idea or position about the intersection of cognitive science and AI.

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Leverhulme doctoral programme: Interested in both Machine Learning and Neuroscience?
by Christopher Laurie Buckley 15 Jan '20

15 Jan '20

Hi all, Applications for our interdisciplinary Leverhulme Doctoral Scholarship Programme at the University of Sussex, “From Sensation and Perception to Awareness”, for entry in September 2020 are now open. There are many great projects and you can propose your own but if you're interested in both Machine Learning and Neuroscience then why not come study Active Inference in brains and machines with myself and the venerable Prof Anil K. Seth. See our project description on the website below. For this project please inquire at c.l.buckley(a)sussex.ac.uk FUNDED PHD POSITIONS AT THE UNIVERSITY OF SUSSEX The University of Sussex invites applications for PhD studentship awards within its Leverhulme Doctoral Scholarship Programme entitled “From Sensation and Perception to Awareness”, directed by Jamie Ward and Anil Seth. The prestigious Sussex Leverhulme Trust Doctoral Scholarship Programme <https://www.findaphd.com/common/clickCount.aspx?theid=3783&type=185&url=htt…> brings together doctoral researchers from different disciplines to advance our understanding of the interactions between sensing, perception, and awareness in humans, animals, and machines. The Programme will support an intake of up to NINE students starting in September 2020. PhD students will be registered within one of the participating schools (Life Sciences, Informatics, Psychology, Media Film & Music, and Brighton and Sussex Medical School). The closing date for applications is January 31st, 2020. For further details, including how to apply, see… https://www.findaphd.com/phds/program/studentships-available-from-the-unive… <https://www.findaphd.com/phds/program/studentships-available-from-the-unive…> Dr Christopher L. Buckley Senior Lecturer in Neural Computation Evolutionary and Adaptive Systems Group Sussex Neuroscience Department of Informatics and Engineering University of Sussex Falmer Brighton, UK c.l.buckley(a)sussex.ac.uk

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Call for Satellite Workshop Proposals, Bernstein Conference 2020 in Berlin
by Anja Dorrn 15 Jan '20

15 Jan '20

Call for Satellite Workshop Proposals, Bernstein Conference 2020 in Berlin +++ The Bernstein Network Computational Neuroscience invites proposals for Satellite Workshops preceding the Bernstein Conference 2020 in Berlin at the Technical University. +++ ____ BERNSTEIN CONFERENCE The Bernstein Conference has established itself as the largest annual Computational Neuroscience conference in Europe attracting an international audience from across the world. The Satellite Workshops provide a stage to discuss topical research questions, novel scientific approaches and challenges in Computational Neuroscience and related fields. www.bernstein-conference.de<http://www.bernstein-conference.de> ____ IMPORTANT DATES - Satellite Workshops: September 29 – 30, 2020 o Tuesday, Sep 29, 2 pm – 6.30 pm o Wednesday, Sep 30, 8.30 am – 12.30 pm - Main Conference: September 30 – October 2, 2020 - Deadline for Satellite Workshop proposal submission: +++ March 31, 2020 +++ - Notification of workshop acceptance: planned in April 2020 ____ WORKSHOP PROPOSALS Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. The format should be designed to foster debate, rather than a series of talks. The Workshop Selection Committee<https://www.bernstein-network.de/de/bernstein-conference/2020/conference-co…> will take scientific excellence, topical relevance and gender diversity into account as their selection criteria. Workshop proposals are welcome for either half-day or full-day workshops. Workshop Proposal Forms can be downloaded here: https://www.bernstein-network.de/en/bernstein-conference/2020/satellite-wor… Please submit the completed form to bernstein.conference(a)fz-juelich.de<mailto:bernstein.conference@fz-juelich.de> +++ Deadline: March 31, 2020 – not to be extended +++ ____ FINANCIAL SUPPORT Workshop registration is free for all organizers and speakers of workshops. Workshop organizers will additionally receive a waiver for the main conference fee. From the accepted workshops up to ten workshops will be selected to receive financial support of up to 1500 € each. ____ WORKSHOP SELECTION COMMITTEE Tim Vogels (Workshop Chair) Marion Silies (Workshop Vice Chair) Danielle Bassett Matthew Botvinick Peter Dayan Alain Destexhe Julijana Gjiorgjieva (Program Vice Chair) Tim Gollisch Stephanie Palmer Nathalie Rochefort Nicole Rust Elad Schneidmann (Program Chair) Gasper Tkacik ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de<mailto:bernstein.conference@fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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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Feb 15 Application Deadline - 2020 Nengo Summer School
by Peter Blouw 14 Jan '20

14 Jan '20

[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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Postdoc positions on Consciousness Research at Monash Uni, Australia
by Naotsugu Tsuchiya 14 Jan '20

14 Jan '20

Position A: DP180100396 (in collaboration with Masafumi Oizumi, Hiroto Kawasaki, Giulio Tononi) No report paradigm in EEG/MEG/intracranial recordings and the analysis of integrated information across sensory and prefrontal cortex Position B: DP180104128 (in collaboration with Marta Garrido, Ueli Rutishauser, Ralph Adolphs) The analysis of MEG/intracranial recordings, using Granger causality and integrated information We are looking for highly talented postdocs (application from PhD students with a prospect of getting PhD in 1 year are welcomed) for the above two ARC-funded positions. Ideal candidates in both positions would have strong publications, strong programming skills in Matlab/Python, strong background in data analysis, preferably neuroimaging data or neural spikes. The projects include 1) design of various psychophysical paradigms (*pdf <https://academic.oup.com/nc/article/doi/10.1093/nc/niw023/2970153/Are-we-un…>)*, including no-report paradigms (*pdf <https://drive.google.com/file/d/0B9N0ysU85rs7bEF5d1VVX3J4T3c/view>*), which can be used for subsequent EEG/MEG/intracranial recording experiments and 2) analysis of EEG/MEG/intracranial data using the approximations of integrated information (link1 <http://www.eneuro.org/content/4/5/ENEURO.0085-17.2017>, *link <https://drive.google.com/open?id=0B9N0ysU85rs7NFVSQlIza215eVU> *, *link <http://www.pnas.org/content/early/2016/12/02/1603583113.abstract>*, *link <http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.10046…>)* ). Please send the inquiry with your CV to naotsugu.tsuchiya(a)monash.edu. Applicants with most fit background and skills will be contacted for subsequent interview over the internet. The positions will be available until they are filled. Regards Nao Tsuchiya -- -- *Nao (Naotsugu) Tsuchiya* Associate Professor *Monash Institute of Cognitive and Clinical Neurosciences* Attention and Memory Program School of Psychological Sciences Monash University 770 Blackburn Monash Brain Imaging facility, Clayton, VIC 3800 Australia T: +61 3 9905 4564 E: naotsugu.tsuchiya(a)monash.edu W: homepage: http://users.monash.edu.au/~naotsugt/Tsuchiya_Labs_Homepage http://med.monash.edu.au/psych/email-sig/miccn-email-sig.jpg <http://www.monash.edu/neuro-institute/> 2. Visiting Researcher at Department of Dynamic Brain Imaging, Advanced Telecommunications Research (ATR), Japan 3. Visiting Researcher at CiNet, Osaka University, Japan orcid.org/0000-0003-4216-8701

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AREADNE 2020 2nd Call for Abstracts: Submission Open
by John Pezaris 13 Jan '20

13 Jan '20

AREADNE 2020 Research in Encoding and Decoding of Neural Ensembles Nomikos Conference Centre, Santorini, Greece 16-20 June 2020 http://areadne.org info(a)areadne.org *** SECOND CALL FOR ABSTRACTS: SUBMISSION OPEN *** Dear Colleague, We are pleased to announce solicitation of abstracts for poster presentation at AREADNE 2020, 16-20 June 2020, our eighth meeting to be held at the Nomikos Conference Centre in Santorini, Greece. Continuing with the same highly successful format, AREADNE 2020 will bring scientific leaders from around the world to present their theoretical and experimental work on the functioning of neuronal ensembles. The meeting will provide an informal yet spectacular setting in which attendees can discuss their recent ideas and discoveries, with a relaxed pace that emphasizes interaction Please see the Call for Abstracts for additional details, including links for templates, at http://areadne.org/call-for-abstracts Submissions of abstracts for poster presentations are due by 24 January 2020; notifications will be provided by 21 February 2020. We strongly encourage potential attendees to submit an abstract as presenters have registration priority. For information about the conference, please refer to the main web page http://areadne.org or send email to us at info(a)areadne.org. We hope to see you at AREADNE 2020! --- John Pezaris and Nicholas Hatsopoulos AREADNE 2020 Co-Chairs

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Post-Doc positions
by sio 13 Jan '20

13 Jan '20

Postdoctoral position The Vision and Natural Computation group at the Vision Institute, Paris, France, (http://www.institut-vision.org/en/ <http://www.institut-vision.org/en/>) seeks experienced and outstanding applicants for a post-doctoral researcher in the field of neuromorphic enginering in any related field including machine learning, event-based computer vision, robotics and spiking neural networks. The applicant will join the Vision and Natural Computation group let by Profs R Benosman and S.H Ieng. The group is a pioneer of neuromorphic event based computation and among the leading teams of the international neuromorphic engineering community. We are interested in candidates willing to work on any aspects of event based computation, preference will be given to those interested in developing any aspect related to new forms of machine learning inspired by neurosciences and going beyond the current status-quo of conventional machine learning. The position will open in January 2020. Interested applicants should submit a detailed curriculum vitae with brief paragraphs of research interests, career goals and why you feel you are a good fit for the lab and perhaps a reference person to contact. Information should be sent to ryad.benosman(a)upmc.fr <mailto:ryad.benosman@upmc.fr> and sio-hoi.ieng(a)upmc.fr <mailto:sio-hoi.ieng@upmc.fr>, please also mention in the email the earliest date at which you could join. Kind regards, S. ieng

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