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Postdoc position Neuroinformatics/Computational Neuroscience at Radboud University (Nijmegen)
by Paul Tiesinga April 17, 2020

April 17, 2020

The FLAG-ERA project NeuronsReunited is looking for a postdoctoral research associate for a 3 year position at 0.9 fte. Each mental event or voluntary motor act involves the coordinated activity of neurons in areas of the brain far apart. Thin, branched and extremely long cellular processes called axons provide the physical substrate of these interactions. Since a few years it is possible to fully trace these long-range axons one at a time. The goal of the FlagERA research project “NeuronsReunited” is to create tools for speeding up the conversion of experimental data into digital axons, and to precisely place neurons into a digital reference brain to reveal their context. They are applied to existing and new data in mouse, and the resulting insights are incorporated into new models for brain function. The project is a collaboration between five international partners, two experimental partners (Prof. Francisco Clasca, Madrid; Prof. Egidio d’Angelo, Pavia) and three computational/theoretical partners (Prof. Paul Tiesinga, Dr. Rembrandt Bakker, Nijmegen; Prof. Michele Giugliano, Trieste; Prof. Sacha Van Albada, Jülich). As a postdoctoral research associate in Nijmegen you will design pipelines to process the raw anatomical data, create tools for the precise placement of axonal arbors in a digital reference brain and be part of the team that builds models and interprets the results. A key deliverable will be the creation of a gold standard online catalog of precisely placed neurons that future generations of neuroscientists can contribute to and compare data to. The tools make use of an existing body of work that consists of web-based applications (HBP Morphology Viewer and Scalable Brain Atlas, written in JavaScript) and interactive notebooks (Python). Besides being a member of the project team, you will also be part of the European Human Brain Project and have access to the expertise of the large neuroscience community at the Donders Institute for Brain, Cognition and Behavior. The position will be embedded within the Donders Centre for Neuroscience (Faculty of Science), in particular in the Department of Neuroinformatics (Paul Tiesinga). The PIs in the department conduct research programs in computational neuroscience, neuroinformatics, large-ensemble electrophysiology/imaging and behavioural neuroscience in the general area of memory dynamics, sensory processing and decision making. What we expect from you • a PhD degree in a quantitative field (engineering, physics, computational neuroscience, etc); • expertise in neuroscience or interest in acquiring it; • excellent programming skills, preferably in JavaScript applications or Python-based pipelines; • experience with neuroinformatics, visualization/3d-graphics, image processing, and/or machine learning; • demonstrated ability to work in a multidisciplinary environment at the forefront of science; • excellent communication skills in spoken and written English. To apply: send an email to p.tiesinga(a)science.ru.nl with cover letter, CV, research statement and names of references, preferably combined into one pdf file or look for the ad at the academic transfer website (https://www.academictransfer.com/nl/, to be posted shortly) and apply there. More information: consult the following websites, • http://www.donders.ru.nl • https://www.ru.nl/science/dcn/research/neuroinformatics/ • https://scalablebrainatlas.incf.org • https://neuroinformatics.nl/HBP/morphology-viewer • https://www.flagera.eu/flag-era-calls/jtc-2019/projects/

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An expert survey on the Futures of Neurosciences
by Jarno Tuominen April 15, 2020

April 15, 2020

Dear colleagues, We are collecting an expert survey on the futures of neurosciences, and would greatly appreciate your time and effort in partaking in this research. The questions range from your perceptions on the current and futures states of the neurosciences to some more metaphysical or epistemological assumptions and beliefs. You can reach the survey here: https://webropol.com/s/futuresneurosciences >From this link you can also volunteer for the second part of this research, consisting of an online expert panel (E-Delphi method). Best wishes, Jarno Tuominen Department of Psychology and Speech-Language Pathology Turku Brain and Mind Center Finland Futures Research Center University of Turku, Finland

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Postdoctoral position at Blue Brain Project in Geneva
by Natalí Barros Zulaica April 15, 2020

April 15, 2020

The Blue Brain Project (BBP) is looking for a postdoctoral researcher in Computational modelling to work on human brain cortical synapses and circuits. The candidate will work in a project which goal is to digitally reconstruct and simulate a human brain cortical microcircuit at the cellular and synaptic level fo detail. The successful candidate would be responsible for: - Gathering data about brain temporal cortex from literature, open-access datasets and international laboratories with which the BBP collaborates. - Interact with experimentalists to validate model predictions. - Provide scientific guidance and expertise to engineering teams and contribute to the on-going refinement of workflows and tools to build data-driven unifying brain tissue models. - Work in collaboration with engineering teams on visualisation, high performance computing, data integration and with project managers to define objectives and timelines to achieve overarching objectives and meet aggressive deadlines. - Collaboration to the general research activities and logistic activities (safety, equipment maintenance, etc.) of the unit. Candidate's profile: - PhD in neuroscience, computational neuroscience, physics or related filed. - Experience in scientific computing programming (python, script, lumpy, hdf5, Linux, ...) - Experience in whole cell electrophysiology - Experience in synapse electrophysiology analysis and research - Experience in model validation - Interest in participating in a collaborative big project - Fluent English speaking and writing. We offer: - One year, renewable contract 100% work rate - An internationally visible project in simulation-based research in neuroscience. - A young, dynamic, inter-disciplinary, and international and modern working environment (Campus Biotech, Geneva). - Possibility to participate in outreach events in Switzerland and abroad. - Very competitive salary. More information and application submission through: https://recruiting.epfl.ch/Vacancies/1036/Description/2

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[meetings] DEADLINE 1st May, CfP - Special session - Hybrid Life III, ALife 2020
by Manuel Baltieri April 14, 2020

April 14, 2020

*** UPDATES in relation to COVID-19 (Coronavirus) *** ********** Call for Papers - NEW Deadline 1st May ********** Special session - Hybrid Life III: Approaches to integrate biological, artificial and cognitive systems https://sites.google.com/view/hybrid-life-iii/ <https://sites.google.com/view/hybrid-life-iii/> 2020 Artificial Life conference (ALife) Virtual conference 13-18th July 2020 - http://2020.alife.org/ <http://2020.alife.org/> --------------------------------------------------------------------------------------------- DESCRIPTION: The main focus of ALife research is the study of natural systems with the goal of understanding what life is. More concretely, ALife defines ways to investigate processes that contribute to the formation and proliferation of living organisms. In this session we focus on three common approaches used to tackle this investigation, proposing ways to integrate, extend and possibly improve them. More specifically we refer to: 1) the formalisation of the necessary properties for the definition of life, 2) the implementation of artificial agents, and 3) the study of the relation between life and cognition. For this special session we propose to start from these well-established Alife methodologies, and extend them through: a unified formal language to describe and model living, as well as artificial and cognitive systems, e.g. control theory, Bayesian inference, dynamical systems theory, etc. the exploration of biological creatures enhanced by artificial systems (or artificial systems augmented with organic parts) in order to investigate the boundaries between living and nonliving organisms. This includes work from bio-inspired robotics, human augmentation, synthetic biology, etc. the evaluation of coupled biological-artificial systems that could shed light on the importance of interactions among systems for the study of living and cognitive organisms. This methodology welcomes contributions from the fields of human-agent interaction, animal-computer interaction, virtual / augmented reality systems, etc. This special session aims to invite contributions from the fields of psychology, computational neuroscience, HCI, theoretical biology, artificial intelligence, robotics and cognitive science to discuss current research on the formalisation, combination and interaction of artificial/living/cognitive systems from theoretical, modelling and implementational perspectives. Potential topics include, but are not limited to: Mathematical frameworks for life and cognition (e.g. dynamical systems theory, stochastic optimal control, Bayesian inference, etc.) Cognitive robotics Autopoiesis Life-mind continuity thesis Systems biology Origins-of-life theories with relationships to artificial and cognitive systems Animal-robot interaction Bio-inspired robotics Bio-integrated robotics Human-machine interaction Augmented cognition Sensory substitution Interactive evolutionary computation Artificial perception Important Dates 1st May 2020 – Paper submission deadline TBC – Paper acceptance notification TBC – Camera-ready version 13th-18th 2020 – Artificial Life virtual conference (ALife) Paper Submission Papers and abstracts submitted to this special sessions will be reviewed by a selected group of experts from the ALife community as well as from other areas key to our proposal, specifically chosen for this review process. If you are submitting to a special session you will be given the opportunity to select it during the submission process. Submissions to special sessions follow the same format, instructions and deadlines of regular ALife papers. Organizers Manuel Baltieri, RIKEN Centre for Brain Science, Saitama, Japan Keisuke Suzuki, University of Sussex, Brighton, UK Hiryuki IIzuka, Hokkaido University, Sapporo, Japan Olaf Witkowski, Cross Labs, Tokyo, Japan Lana Sinapayen, Sony Computer Science Laboratories, Tokyo, Japan Contacts For questions, enquiries and more information please check our website https://sites.google.com/view/hybrid-life-iii/ <https://sites.google.com/view/hybrid-life-iii/> or get in touch with manuel.baltieri [at] riken.jp <http://riken.jp/>. All the best, -- Manuel Baltieri Postdoctoral Research Fellow Lab. for Neural Computation and Adaptation RIKEN CBS, Saitama, Japan www.manuelbaltieri.com <https://manuelbaltieri.com/> Twitter: @manuelbaltieri

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PhD position on Accelerating motor learning with computational scaffolding (Tel Aviv)
by Jason Friedman April 13, 2020

April 13, 2020

(also see online: http://www.movementscienceslab.com/PhDApril2020.pdf) Tel-Aviv University offers a funded full-time PhD position on “Accelerating motor learning with computational scaffolding” starting in the summer The last few years have seen an amazing explosion in artificial intelligence and machine learning - helping machines learn to perform tasks better. In this project, we will use similar techniques to optimize the human learning experience in learning complex motor behaviour. ------------------------------ *Your tasks* We will tackle the problem of learning complex motor tasks using a technique known as computational scaffolding. You will play a central role in both designing, setting up, running and analyzing the behavioural experiments with human participants, as well as working on the machine learning algorithms to perform the guidance, based on recordings from experts teaching novices. The techniques developed in this project will eventually allow enhanced remote tele-operation for learning new skills and rehabilitation in different populations. The experiments will involve motion capture, recording performance from an electric piano and use of an exoskeleton for guidance. You will be supervised by Dr. Jason Friedman, from the Dept. Physical Therapy & Sagol School of Neuroscience, and the project will be performed collaboratively with the group of Prof. Dr. Helge Ritter, from the NeuroInformatics group at Bielefeld University in Germany. ------------------------------ *Your profile* We expect: - M.Sc or equivalent in Computer Science, Biomedical engineering, Physical Therapy, Neuroscience, Psychology, Physics, Motor Control, or related areas - Knowledge and experience in machine learning and artificial intelligence - Excellent programming skills - Very good English (written and spoken) - Independent, self-reliant and dedicated style of work - Strong organizational and communication skills - Ability to cooperate and to work in a team - A background in music is an advantage ------------------------------ The successful applicant will apply to be a PhD student in the Faculty of Medicine or the Sagol School of Neuroscience. The research will primarily take place on the campus of Tel Aviv University in Tel Aviv, Israel. Tel Aviv University, with over 30,000 students, is the largest university in Israel, with a vibrant research community. The student will receive a stipend at the standard Tel Aviv University rate. ------------------------------ *Application Procedure* Send the following by email to Dr. Jason Friedman (jason(a)tau.ac.il) - A CV - A transcript of your grades from your M.Sc studies - A cover letter describing how you meet the profile and why you are interested in the position - Names, affiliations, and email address of two academic references Shortlisted applicants will be contacted for an online video interview Recruitment will take place immediately until a suitable applicant is found -- Jason Friedman, PhD Senior Lecturer Department of Physical Therapy Tel Aviv University email: jason(a)tau.ac.il web: http://curiousjason.com

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Call for Abstracts : the 2020 Conference on the Mathematical Theory of Deep Learning
by Ahmed El Hady April 11, 2020

April 11, 2020

*Call for Abstracts: The 2020 Conference on the Mathematical Theory of Deep Learning* We are now accepting abstracts for poster presentations at DeepMath 2020. DeepMath is a two day conference focused on the theoretical understanding of deep learning and neural networks (for more information see www.deepmath-conference.com <http://www.deepmath-conference.com/>). A principal goal of this conference is to bring together theoreticians working on deep learning from various disciplines and perspectives. We therefore encourage submissions from researchers from diverse disciplines including, but not limited to * Statistics * Physics * Computer science * Neuroscience * Mathematics * Psychology * Engineering Topics may address any area of deep learning research such as * expressivity * generalization * optimization * representations * computation * network architectures * recurrent networks. To complement the wealth of conferences with applications and theory the focus for DeepMath 2020 will be exclusively on the theoretical and mechanistic understanding of the underlying properties of neural networks. Invited speakers for DeepMath 2020 include * Richard Baraniuk (Rice U) * Gitta Kutyniok (TU Berlin) * Eero Simoncelli (NYU) * Rene Vidal (Johns Hopkins) * Lenka Zdeborova (CEA Saclay) * Demba Ba (Harvard U) * Stephanie Jegelka (MIT) * Mikhail Belkin (OSU) Abstracts will not be made public (i.e., no official proceedings), and will be doubly-blind reviewed and selected for quality. All poster submissions should be properly anonymized in order to allow for blind refereeing. *Submissions should be no more than 1 page* although a second page may be used for references. Authors should submit a pdf file prepared using the *Latex style file available here <https://storage.googleapis.com/wzukusers/user-23451351/documents/5c90d93c12…>* (https://storage.googleapis.com/wzukusers/user-23451351/documents/5c90d93c12… <https://storage.googleapis.com/wzukusers/user-23451351/documents/5c90d93c12…>) and should adopt all formatting, subject headings, font sizes, etc. defined therein. Submissions that fail to meet the format requirements will not be reviewed. The first author listed on the abstract is considered to be the presenting author. Each presenting author may submit only one abstract. Investigators interested in having their abstracts considered for presentation should submit their abstracts no later than June 1. Authors may submit their abstracts at: https://cmt3.research.microsoft.com/DEEPMATH2020 <https://cmt3.research.microsoft.com/DEEPMATH2020> For more information, please visit the conference website at www.deepmath-conference.com <http://www.deepmath-conference.com/>

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Postdoc position, PhD position and further opportunities in the group “Neural network dynamics and computation” (Raoul-Martin Memmesheimer)
by Raoul-Martin Memmesheimer April 10, 2020

April 10, 2020

Postdoc position, PhD position and further opportunities in the group “Neural network dynamics and computation” (Raoul-Martin Memmesheimer) The “Neural network dynamics and computation” group of Raoul-Martin Memmesheimer at Bonn University offers a PhD and a postdoctoral researcher position to study the dynamics, function and evolution of earliest nervous systems. Your research may address a variety of modeling topics and include experiments on jellyfish nervous systems. The experiments are planned in collaboration with Heinz Beck (Department of Epileptology) and Gerhard von der Emde (Institute for Zoology). The German research council (DFG) fully funds the positions via a grant of the program “SPP 2205 - Evolutionary Optimization of Neuronal Processing”. First related results of our group are presented in Pallasdies et al., “From single neurons to behavior in the jellyfish Aurelia aurita” Elife 2019. If you are at an earlier career stage, you may want to write your Bachelor’s or Master’s thesis on the topic. Optimal backgrounds of applicants include theoretical and experimental neuroscience, theoretical physics, computer science, mathematics and (quantitative) biology. If you are interested in more information, see our website (www.neuralnetworkdynamicscomputation.de) and/or contact us via email, for example Raoul-Martin Memmesheimer (rm.memmesheimer(a)uni-bonn.de) or Wilhelm Braun (wbraun(a)uni-bonn.de) We are looking forward to your application!

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Cheng lab - Two PhD positions in Computational Neuroscience
by Vinita Samarasinghe April 8, 2020

April 8, 2020

Sen Cheng, at the Institute for Neural Computation, Ruhr University Bochum, is looking to fill two PhD positions. Both are funded for 3 years and start as soon as possible. The positions are in the field of computational neuroscience and excellent programming skills are mandatory. 1.The successful candidate will study the function of episodic memory in spatial navigation and time series prediction using computational modeling. This research builds on a computational model that was developed in the research group. The model incorporates a virtual environment and machine learning methods such as reinforcement learning, and deep neural networks. This model should be extended to enable the use of episodic memory in reinforcement learning. https://www.stellenwerk-bochum.de/jobboerse/wissenschaftl-mitarbeiterin-wis… 2. 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. https://www.stellenwerk-bochum.de/jobboerse/wissenschaftl-mitarbeiterin-wis… The deadline for applications is 30.04.2020 23:59 CEST. For further details regarding the positions and instructions on how to apply please follow the given links. English versions of the postings can also be found at: https://www.ini.rub.de/the_institute/jobs/ Please quote the job number when applying. We look forward to hearing from you! Kind regards, -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/26 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0) 234 32 27316 Email: samarasinghe(a)ini.rub.de

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12 PhD fellowships in Neuroscience at the Padova Neuroscience Center, University of Padova
by suwies infn April 8, 2020

April 8, 2020

The Padova Neuroscience Center is delighted to announce its call for about 12 fully funded PhD fellowships in Neuroscience at the University of Padova (see flyer: http://pnc.unipd.it/wp-content/uploads/2020/03/PhD@PNCFlyer_2020.pdf <http://pnc.unipd.it/wp-content/uploads/2020/03/PhD@PNCFlyer_2020.pdf>). The multidisciplinary PhD program includes research lines and methods from Multimodal Imaging, Molecular-Cellular, Cognitive-Affective-Behavioral, Clinical-Translational and Computational Neuroscience. Given the COVID-19 emergency, the time-frame for the application has been postponed to 4th of May-16th of June 2020 (at 1 pm). The details for the application could be found here: http://pnc.unipd.it/admission/ <http://pnc.unipd.it/admission/>. Stay tuned! Interested candidates can also contact us (pnc.generalinfo(a)gmail.com <mailto:pnc.generalinfo@gmail.com>) for further information. Please forward this message to collaborators and students. **** Padova University is one of the oldest and most prestigious universities in Europe - established in 1222. The University of Padova invests significantly in research activities and projects. Padova, is a small and beautiful town, shaped around the University. Affordable living costs, great food and social life, and you can bike everywhere! ***** Assistant Professor, www.liphlab.com, Physics & Astronomy Dept. Padova Neuroscience Center University of Padova Tel: +39 049 827 71 74 @SamirSuweis https://suweis.github.io/ Why don't you join the next generation publishing experiment with "Peer Community In" - publish and read at no cost and inject more money into research! Check us out @ https://peercommunityin.org https://youtu.be/4PZhpnc8wwo @PeerCommunityIn

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Postdoc job in New York in computational neuroscience - Fall 2020
by Ruben Coen-Cagli April 7, 2020

April 7, 2020

The Laboratory for Computational Neuroscience<https://sites.google.com/site/rubencoencagli> (Coen-Cagli lab) invites applications for a postdoctoral position in the Department of Systems and Computational Biology and Department of Neuroscience at Albert Einstein College of Medicine (Einstein) in New York City. Our lab studies how biological sensory systems interpret the surrounding environment. We study probabilistic representations of natural images, to understand visual perception and neural activity in visual-cortical populations. We combine theories of probabilistic neural coding, computer vision and machine learning algorithms, psychophysics, and neurophysiology through collaborations. The candidate is expected to perform research related to these topics. Applicants must have a Ph.D. in a relevant discipline, with an academic record of scientific excellence and independent research, and a keen interest in interdisciplinary approaches to biological and neural systems. Prior experience should include areas such as computational neuroscience, machine learning, computer vision, or statistics. We are particularly interested in applicants with a genuine interest in linking theoretical and computational work to quantitative analysis of neurophysiology data, in the context of a NIH funded project<https://projectreporter.nih.gov/project_info_description.cfm?aid=9801995&ic…> on natural image processing in the visual cortex. The project is a collaboration with the laboratory of Adam Kohn<https://www.einstein.yu.edu/faculty/10522/adam-kohn/> at Einstein, and the fellow will have the opportunity for substantial interactions with the Kohn lab. Einstein offers a vibrant interdisciplinary environment, with a growing systems and computational contingent. It is located in a quiet neighborhood of New York, only a short subway ride from Manhattan. Information about working at the Einstein, including benefits and housing for postdocs, can be found at: https://www.einstein.yu.edu/research/belfer-institute/ The position starts in fall 2020, and is funded for several years, with an initial one-year appointment and expectation of extension given satisfactory performance. Salary is competitive and will be commensurate with experience. Candidates should send a single pdf file, consisting of a 1-page motivation letter, CV, and publication list to ruben.coencagli(a)gmail.com. Furthermore, candidates should organize two letters of reference, to be sent to the same e-mail address. The position is open until filled. Albert Einstein College of Medicine is an equal opportunity employer committed to hiring minorities, women, individuals with disabilities and protected veterans. Ruben Coen Cagli, PhD Department of Systems and Computational Biology, and Dominick Purpura Department of Neuroscience Albert Einstein College of Medicine 1300 Morris Park Ave. Price 353B Bronx, 10461. NY office: +1.718.678.1150 web: https://sites.google.com/site/rubencoencagli/<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.goo…>

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