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INCF/OCNS Software WG: Dev session on GeNN (9th March)
by Ankur Sinha March 4, 2021

March 4, 2021

Hello everyone, Apologies for the cross-posts. The INCF/OCNS Software Working Group (WG)[1] is happy to announce the next "Dev session" on GeNN[2] where James Knight and Thomas Nowotny will introduce the software and then discuss its *development* pipeline. The session will be held on March 9 at 1700 UTC. Zoom link: https://universityofsussex.zoom.us/j/97956408800?pwd=by9yVnhCZTJlenY0bVI4OE… The aim of these sessions is to stimulate discussion of the development practices and tools used by different teams to improve the software we use while also improving our knowledge of these practices and tools. We also hope to encourage more users of these tools to contribute to their development to ensure their longevity. The abstract of the session is below: ----- Large-scale numerical simulations of brain circuit models are important for identifying hypotheses on brain functions and testing their consistency and plausibility. Similarly, spiking neural networks are also gaining traction in machine learning with the promise that neuromorphic hardware will eventually make them much more energy efficient than classical ANNs. In this dev session, we will present the GeNN (GPU-enhanced Neuronal Networks) framework [1], which aims to facilitate the use of graphics accelerators for computational models of large-scale spiking neuronal networks to address the challenge of efficient simulations. GeNN is an open source library that generates code to accelerate the execution of network simulations on NVIDIA GPUs through a flexible and extensible interface, which does not require in-depth technical knowledge from the users. GeNN was originally developed as a pure C++ and CUDA library but, subsequently, we have added a Python interface and OpenCL backend. The Python interface has enabled us to develop a PyNN [2] frontend and we are also working on a Keras-inspired frontend for spike-based machine learning [3]. In the session we will briefly cover the history and basic philosophy of GeNN and show some simple examples of how it is used and how it works inside. We will then talk in more depth about its development with a focus on testing for GPU dependent software and some of the further developments such as Brian2GeNN [4]. [1] https://github.com/genn-team/genn [2] https://github.com/genn-team/pynn_genn [3] https://github.com/genn-team/ml_genn [4] https://github.com/brian-team/brian2genn ----- If you develop software for neuroscience, we would love to hear about your development pipeline. Please get in touch with the Software WG either on INCF's Neurostars platform[4] or on our GitHub repository[5]. The WG is a community based group that is open to everyone at all levels of their careers (academic or otherwise). Please introduce yourself to the community on our channels to get involved. [1] https://ocns.github.io/SoftwareWG/pages/about.html [2] http://genn-team.github.io/genn/ [3] https://ocns.github.io/SoftwareWG/2021/02/26/dev-session-james-knight-thoma… [4] https://neurostars.org/t/ocns-infrastructure-software-tools-sig-meet-and-gr… [5] https://github.com/OCNS/SoftwareWG/discussions/12 On behalf of the WG, -- Thanks, Regards, Ankur Sinha (He / Him / His) Research Fellow at the Silver Lab | http://silverlab.org/ Department of Neuroscience, Physiology, & Pharmacology University College London, London, UK Time zone: Europe/London

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Postdoc Opening on Information Dynamics inferred from in vivo electrophysiological recordings
by BATTAGLIA Demian March 4, 2021

March 4, 2021

We are looking for a postdoctoral scholar to work at the interface between theoretical and experimental neuroscience in a cooperation between the groups of Christophe Bernard and Demian Battaglia at the Institute for Systems Neuroscience (INS) of Aix-Marseille University. The project will involve using information theoretical and machine learning tools and other computationally-intensive data analysis approaches on electrophysiological recordings of unit and LFP activity in rodents. In a recent series of works, we have been characterizing dynamics of "Information Processing states" and primitive processing operations of storage and sharing by individual hippocampal and cortical neurons in anesthesia, in both control and epileptic rodents (Clawson et al., Science Advances 2019; Pedreschi et al., Network Neuroscience 2020; Clawson et al., biorXiV 2021). We plan now to generalize these analyses to behavioral and very long sleep recordings, especially in relation to how circadian rhythms affect neural system function (Debsky et al., Science Advances 2020; Brancati et al., PNAS, in press) and performance. Indeed, although it is known that circadian rhythms drive all organ functions, including the brain, it is little known how the architecture of information processing by neuronal ensembles is affected by such rhythms. The ideal candidate will have a background in computational or theoretical neuroscience, physics or theoretical computer science. Familiarity with information theory concepts, previous experience in the analysis of large neuroscience datasets (e.g. multichannel recordings, unit or LFP data...) or the modelling of spiking neural circuits is a plus. The candidate will work with researchers performing in vivo recordings in control and epileptic animals (Christophe Bernard, Pascale Quilichini...) and theoreticians (Demian Battaglia, Viktor Jirsa...) at the Institute of Systems Neuroscience in Marseille. Interactions are possible also with other French labs (e.g. University of Strasbourg) and with clinicians. If interested, the candidate will also be offered the possibility to learn in vivo electrophysiology. Aix-Marseille University is a large, international university with a rich and diverse Neuroscience community, in the vibrant multicultural city of Marseille with magnificent natural surroundings and excellent high-speed train and flight connections to major cities in Europe. The position has no mandatory teaching or administrative duties. Excellent (written and oral) communication skills in English are required. The maximum duration is three years. Candidates should send a CV, a statement of research experience and interests, expected date of availability, and the contact information for three references to christophe.bernard(a)inserm.fr and demian.battaglia(a)univ-amu.fr Application review will proceed until the position is filled. References Clawson, W., Vicente, A.F., Ferraris, M., Bernard, C., Battaglia, D., Quilichini, P.P., 2019. Computing hubs in the hippocampus and cortex. Sci Adv 5, eaax4843. doi:10.1126/sciadv.aax4843 Pedreschi, N., Bernard, C., Clawson, W., Quilichini, P., Barrat, A., Battaglia, D., 2020. Dynamic core-periphery structure of information sharing networks in entorhinal cortex and hippocampus. Netw Neurosci 4, 946–975. doi:10.1162/netn_a_00142 Clawson, W., Madec, T., Ghestem, A., Quilichini, P.P., Battaglia, D., Bernard, C., 2021. Disordered information processing dynamics in experimental epilepsy. bioRxiv. doi:10.1101/2021.02.11.430768 Debski, K.J., et al.... , Bernard, C., 2020. The circadian dynamics of the hippocampal transcriptome and proteome is altered in experimental temporal lobe epilepsy. Sci Adv 6. doi:10.1126/sciadv.aat5979 Demian Battaglia CNRS researcher - Institute for Systems Neuroscience (INS) Theoretical Neuroscience Group - Aix-Marseille Université & Visiting fellow - University of Strasbourg Institute for Advanced Studies (USIAS) @Laboratory for Cognitive and Adaptive Neurosciences (LNCA)

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Comp Neuro PhD Position at Moreno-Bote lab, Barcelona
by Ruben Moreno Bote March 4, 2021

March 4, 2021

*PhD Position in* *Computational Neuroscience, Ruben Moreno-Bote Lab * *Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain* 1 fully funded PhD position is available in the group of Theoretical and Cognitive Neuroscience of Ruben Moreno-Bote in the Center for Brain and Cognition at the University Pompeu Fabra, Barcelona, Spain. We are looking for excellent candidates with Physics, Mathematics or Machine Learning background interested in developing theory for the brain and mind. Knowledge of Computational Neuroscience or Neuroscience would be ideal, but it is not necessary. The candidate will develop state of the art theory and models of cognition and intelligence by using neural networks, reinforcement learning, machine learning, data analysis and multielectrode neural data. The main research topic of our lab is decision-making, from a multidisciplinary angle. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our lab (https://www.upf.edu/web/tcn) forms part of a larger network of neuroscience labs in Barcelona. Financial support is provided by HHMI, ICREA and the Spanish MINECO. APPLICATION: A full CV in pdf format and an extract of grades for degree and master studies should be sent to the following address: ruben.moreno(a)upf.edu DEADLINE: until the position is filled STARTING DATE: any time between September 2021 and January 2022 -- Rubén Moreno Bote Serra Húnter & ICREA Academia Professor Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella c\ Ramon Trias Fargas, 25-27 Mercè Rodoreda building, 3th floor (room 24.331) 08005 Barcelona, Spain https://www.upf.edu/web/tcn https://twitter.com/morenobote <https://twitter.com/morenobote?lang=ca>

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research fellow: open and reproducible science core facility
by Jochem Rieger March 4, 2021

March 4, 2021

We have an open research fellow position (salary at post-doctoral level) for 3+2 years at the Neuroimaging Unit of Uni Oldenburg for the development of tools and infrastructure for open data data and reproducible science based on the BIDS standard. The position complemented by a full time technician position for support. The announcement is below. Please contact me if you have questions. The application deadline is March 12th We are looking forward to applications, Jochem *Scientific Research Associate m/f/d* *(Salary level E13 TVL, 100%)* ** for the development of acquisition, storage and processing pipelines for open and reproducible science building on the BIDS standard. In a newly funded project we aim to implement data storage and processing pipelines for open and reproducible science based on the BIDS standard. The successful candidate is expected to actively contribute to the implementation of neuroscience data acquisition, storage, and reproducible analysis pipelines building on the BIDS standard at the University of Oldenburg, to contribute to community efforts and dissemination. Candidates are expected to have an academic university degree (Master or equivalent) in the field of informatics, engineering, neuroscience or psychology and have shown their ability to perform excellent scientific work, e.g. demonstrated by an excellent publication record. Prior experience with the BIDS standard as well as its programming, experience with neuroimaging techniques and data analysis (especially fMRI or MEG/EEG) and fluency in English is required. Experience with open science tools and databases, other neurophysiological modalities, as well as knowlegde of German are desirable. The position is embedded in a DFG Core Facility grant and is availableas soon as possibleuntil30^th of September^.2023 (with the possibility to extend another two years after successful project evaluation). The position is suitable for part-time work. The Neuroimaging Unit hosts a state of the art MEG (Elekta Triux) and an MRI (Siemens Prisma 3T) and is embedded in an excellent interdisciplinary scientific environment with a strong research focus on neurosensory, neurocognitive, and medical research. The University of Oldenburg is dedicated to increase the percentage of female employees in the field of science. Therefore, female candidates are strongly encouraged to apply. In accordance to § 21 Section 3 NHG, female candidates with equal qualifications will be preferentially considered. Applicants with disabilities will be given preference in case of equal qualification. Please send your application including a cover letter, CV, list of potential referees, links to recent publications and copies of certificates for academic grades to Prof. Jochem Rieger, Department of Psychology, University of Oldenburg, 26111 Oldenburg, Germany (jochem.rieger(a)uol.de <mailto:jochem.rieger@uol.de>). Electronic applications (*one*pdf file) are preferred. For inquiries please use the same contact. The application deadline is*12^th of**March 2021*. -- Prof. Dr. rer. nat. Jochem Rieger Head of Applied Neurocognitive Psychology head of Neuroimaging Unit Faculty VI Carl-von-Ossietzky University 26111 Oldenburg Germany Phone: +49(0)4417984533 Fax: +49(0)4417983865

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Announcing 3 NeuroML hackathon sessions at HARMONY 2021
by Padraig Gleeson March 3, 2021

March 3, 2021

*[Apologies for cross-posting]* ** ** *We will be running 3 online NeuroML <https://neuroml.org/> hackathon sessions during the upcoming HARMONY 2021 <http://co.mbine.org/events/HARMONY_2021>meeting on 23-25th March. * ** ** *The general theme of the sessions will be: Learn to build, visualise, analyse and simulate your models using NeuroML.* * Why take part? These hackathons will give members of the modelling community the chance to: * Get high level introductions to the NeuroML language and toolchain * Meet the NeuroML core development team and editors * Find out the latest information on which simulators/applications support NeuroML * Open, discuss and work on issues related to converting your model to NeuroML, or supporting NeuroML in your simulator * Learn how to share your models with the community Times and dates All sessions will be online and take place over 3 hours (9am-noon Pacific; 12-3pm EST time; 4-7pm UK/UTC; 5-8pm CET, 9:30pm-12:30am IST; note non-standard US/EU time differences that week). The broad focus of each of the sessions (dependent on interests of attendees) is: **Tues 23rd March: Introduction to NeuroML, general questions about usage **Wed 24th March: Detailed cell/conductance based models (e.g. converting channels to NeuroML) **Thus 25th March: Abstract/point neuron networks including PyNN interactions Registration To take part in the hackathon, please register at http://co.mbine.org/events/HARMONY_2021 <http://co.mbine.org/events/HARMONY_2021>for the HARMONY meeting (registration is free). You will get sent details to access the agenda on https://harmony2021.sched.com, which will have links to the Zoom sessions for each of the days. Open an issue beforehand! While it will be possible to raise and discuss new issues at the hackathons, it will be easier to manage and plan work/discussions if you open an issue with a description of the problem you are trying to address at: https://github.com/NeuroML/NeuroML2/issues <https://github.com/NeuroML/NeuroML2/issues>. Slack To aid communication with the community during (and after) the meeting, we have a Slack channel for NeuroML related discussions. Please reply to this mail for an invite. We look forward to working with the community to drive further uptake of NeuroML compliant models and tools! * ----------------------------------------------------- Padraig Gleeson Room 321, Anatomy Building Department of Neuroscience, Physiology& Pharmacology University College London Gower Street London WC1E 6BT United Kingdom +44 207 679 3214 p.gleeson(a)ucl.ac.uk -----------------------------------------------------

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Two postdoctoral fellow positions in theoretical neuroscience
by Yoram Burak March 3, 2021

March 3, 2021

The Burak Lab at the Hebrew University and the Moser lab at the Kavli Institute for Systems Neuroscience (KISN) are seeking two postdoctoral fellows in theoretical neuroscience, to take part in a joint ERC-funded project. The project aims to identify how thousands of neurons in the mammalian cortex interact with each other to achieve computational and cognitive functions. Theory fellows taking part in the project will work on diverse theoretical and computational questions, which involve approaches ranging from pure theoretical modelling to analysis and interpretation of large scale neural data. Computational tools involve methods from nonlinear dynamics, machine learning, statistical physics, and information theory. The two theory postdoctoral fellows will be based in Jerusalem, and are expected to interact closely with members of both labs, both remotely and during visits to the KISN in Trondheim. A generous budget will be available for travel between Israel and Norway, for travel and participation in scientific meetings, and for purchase of computing equipment. We are looking for candidates with excellent demonstrated abilities in theoretical research, strong intellectual curiosity and drive, a keen interest in computational neuroscience, and an interest in relating theory to experimental data. A strong research record in theoretical neuroscience, theoretical physics, mathematics, computer science, or a related field is required. Experience with research related to machine learning, statistical physics, nonlinear dynamics, information theory, or large-scale data analysis, as well as prior familiarity with research in computational neuroscience are advantageous. *To apply:* Please send the following information to kiloneurons-positions(a)elsc.huji.ac.il in a single PDF file: 1. Curriculum vitae 2. List of publications 3. Brief statement of research interests 4. The names and contact details of three references *Deadline*: For full consideration, applications must be received by March 31, 2021. After this date, if positions are not filled, applications will be considered on a rolling basis. ___ Yoram Burak Associate Professor Racah Institute of Physics, and Edmond and Lily Safra Center for Brain Sciences The Hebrew University of Jerusalem p: +972-2-6584523 w: https://www.buraklab.me/ a: Goodman Brain Sciences Bldg 2102, Safra Campus, Jerusalem 91904, Israel

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IMRF (International Multisensory Research Forum) postponed to July 04-07 2022 in Ulm, Germany
by Marc Ernst March 3, 2021

March 3, 2021

Dear participants of the IMRF, Unfortunately, the COVID-19 pandemic situation is still affecting all our lives and the prediction for summer 2021 does not look like it will allow all of us travelling internationally without restrictions or holding a meeting in closed spaces with many people present. As many other conferences, we also considered moving to an online format for the International Multisensory Research Forum (IMRF) (https://cops.ifp.uni-ulm.de/imrf2020/ <https://cops.ifp.uni-ulm.de/imrf2020/>). However, we feel the community would not benefit as much as having a meeting in person. Therefore, with a heavy heart we decided once again (and hopefully for the last time) to postpone the „annual“ IMRF meeting. The new dates are July 04-07, 2022. Abstract submission and registration will stay open. All abstracts already submitted will be further considered. However, you can of course log on and adapt your abstracts (or symposia) until the new deadline for abstract submission. We will announce the new deadlines in due time. The abstract submission and registration page can be found here <https://cops.ifp.uni-ulm.de/imrf2020/index.php/imrf-2020/registration-submi…>. Also registrations will stay valid in case you already registered. Otherwise new registration dates will be announced shortly. Sorry for the inconvenience this third postponement may cause and thanks for your understanding. Be safe and stay healthy!!!! Best, Mac Ernst on behalf of the IMRF Organizers. --------------------------------------------------------- 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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PhD in ML and AI - two VC Scholarships
by Konstantin Nikolic March 2, 2021

March 2, 2021

Two Vice-Chancellor Scholarship PhD positions in Machine Leaning are available in the “Learning and Intelligence” group of Prof Konstantin Nikolic at University of West London, UK. The group’s interests are mostly in modelling biological systems and AI/ML related to bio-inspired themes. Potential project topics include (but are not limited to, since these scholarships are not project linked): Learning in Spiking Neural Networks (SNNs), Neuromorphic robots controlled by SNNs (available are SpiNNaker boards, Dynamic Vision Sensors, etc, for example see: https://www.youtube.com/watch?v=135fH21QXtg) Data-driven ML algorithms based on information theory and their applications (such as medical diagnostics, video/image analysis, financial/economic or some other large dataset analysis), Neural microcircuits of learning and cognitive modelling, etc. We are also interested in developing ML algorithms for controlling neuromodulatory implants. Research related to Theoretical and Computational neuroscience could be also interesting, especially if exploring some new ideas related to learning in relatively simple biological systems. The researchers will be based in the School of Computing and Engineering at University of West London, with possible close collaboration with the Centre for Bio-Inspired Technology at Institute of Biomedical Engineering, Imperial College London. Informal enquires can be directed to konstantin.nikolic(a)uwl.ac.uk<mailto:konstantin.nikolic@uwl.ac.uk>. The School enjoys state-of-the-art facilities and infrastructure and continues to invest heavily in its improvement. The UWL, sourcing its origins from the Lady Byron School in 1860, is a leading modern university in the UK, consistently progressing in the league tables for the past several years. The life on campus is enriched with frequent high-quality live performances and plays given by the students from our London College of Music and London School of Film, Media and Design, the two hubs of talent and creativity. The positions are advertised here: https://www.jobs.ac.uk/job/CCB695/phd-in-machine-learning-and-artificial-in…<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.jobs.…> Konstantin Nikolic, PhD Professor in Computer Science (AI, ML, Data) at University of West London Viiting Professor at Imperial College London (Institute of Biomedical Engineering) School of Computing and Engineering University of West London Ealing campus St Mary’s Road London W5 5RF UK email: konstantin.nikolic(a)uwl.ac.uk<mailto:konstantin.nikolic@uwl.ac.uk>, k.nikolic(a)imperial.ac.uk<mailto:k.nikolic@imperial.ac.uk> web: https://www.uwl.ac.uk/users/konstantin-nikolic, https://www.imperial.ac.uk/people/k.nikolic

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Job Opening in Juelich, Germany: Postdoc in Computational Neuroscience - Priority Program 2041Computational Connectomics
by Martina Reske March 2, 2021

March 2, 2021

The Institute of Neuroscience and Medicine (INM) at the Jülich Research Center in Germany investigates the structure and function of the brain. The subinstitute INM-6 consists of 6 groups that conduct research in the field of computational and systems neuroscience. The Priority Program "Computational Connectomics" is a Germany-wide collaboration aiming at comprehensive descriptions of neuronal network connectivity and insight into its relationships to brain dynamics and function. The candidate will strengthen our team in the project “Cellular, connectional and molecular heterogeneity in a large-scale computational model of the human cerebral cortex”, which is embedded in the context of the Priority Program. It will be supervised by Prof. Sacha van Albada and is a collaboration with Dr. Alexandros Goulas (UKE Hamburg) and Dr. Timo Dickscheid (INM-1, Jülich Research Center). This collaboration links cytoarchitecture (Dr. Dickscheid) to connectomics (Dr. Goulas) and finally cortical network dynamics (Prof. van Albada). Simulations using the neural network simulation tool NEST on the Jülich supercomputers provide the unique opportunity for investigating spiking cortical models at the full density of neurons and synapses. We are looking to recruit a Postdoc in Computational Neuroscience - Priority Program 2041 Computational Connectomics Your Job: * Extending and refining a large-scale spiking neural network model of human cerebral cortex * Investigating the origins of area- and layer-specific cortical timescales and oscillations * Supervising PhD and Master students * Maintaining active collaborations with project partners * Writing, documenting, and publishing high-quality simulation, analysis, and visualization scripts * Presenting project results at national and international conferences * Publishing project results in peer-reviewed international journals Your Profile: * Completed study (Master) in natural sciences, computer science or mathematics * PhD in computational neuroscience * Extensive experience with neural network simulations and analytical mean-field theory * Excellent knowledge of cortical anatomy and physiology * Structured and organized style of working * Fluent in English, spoken and written * Ability to work independently * Good social and student supervision skills * Willingness to travel Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with: * Comprehensive training courses and individual opportunities for personal and professional further development * Extensive company health management * Ideal conditions for balancing work and private life, as well as a family-friendly corporate policy * Full-time position with the option of slightly reduced working hours and 30 days of annual leave * Targeted services for international employees, e.g. through our International Advisory Service We offer you an exciting and varied role in an international and interdisciplinary working environment. The position is initially for a fixed term of 1 year, with possible long-term prospects. Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD). Depending on the applicant`s qualifications and the precise nature of the tasks, salary grade 13 TVöD-Bund. Forschungszentrum Jülich promotes equal opportunities and diversity in its employment relations. We also welcome applications from disabled persons. Please apply via our online recruiting system<https://www.hrecruiting.de/obf2/bewerbermanagement.php?kunden_nr=t5ChjatkIf…>, quoting the reference number 2021-091. Martina Reske -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de<http://www.csn.fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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[job] Postdoctoral Researcher on fMRI study of spontaneous thoughts and natural task
by Mingbo Cai March 2, 2021

March 2, 2021

Postdoctoral Researcher on fMRI study of spontaneous thoughts and natural tasks We seek a talented neuroscientist with extensive experience in the areas of advanced fMRI analysis, (such as encoding or decoding models) and the design of experiments using naturalistic tasks and assessing spontaneous thoughts. A 3-year postdoctoral position is available at Dr. Mingbo Cai’s lab at the International Research Center for Neurointelligence, The University of Tokyo. You will work on an exciting international collaboration project co-funded by AMED of Japan and DFG of Germany directed by both Dr. Cai <https://cailab-ircn.org/> and Dr. Nicolas Schuck <https://schucklab.gitlab.io/> at Max Planck Institute for Human Development. You will also have the opportunity to collaborate remotely with Dr. Quentin Huys <https://quentinhuys.com/> at the University College London. The project will focus on understanding the contents and dynamics of spontaneous thoughts using fMRI decoding and natural tasks. In the later stage of the project, we also plan to examine the clinical implication of differences in spontaneous thoughts. Applicants with experience working on populations with mental disorders are also highly encouraged to apply. The working language is English. The working location is at The University of Tokyo, Japan. Contract duration: renewed annually up for 3 years, with a probation period of 6 months. Starting date: On or after April 1, 2021. *Requirements* (1) Applicants must hold, or be expected to hold by the time of appointment, a PhD, M.D. or equivalent degree in Neuroscience, Psychology, Psychiatry, Machine Learning, Statistics or related fields. (2) Experience in conducting fMRI experiments and data analysis (evidenced by publications, conference presentations or writing samples). (3) Familiar with at least one of the following tools: AFNI, FSL, nilearn, BrainIAK. (4) Good speaking and scientific writing skills in English. (5) Good programming skills. (6) Willing to collaborate and help colleagues. Requirements 2 and 3 may be replaced by two or three of the preferred skills below: *Preferred skills:* (1) Research experience with fMRI experiments involving natural tasks and multivariate pattern analysis. (2) Experience with experiments investigating spontaneous thoughts. (3) Research experience with investigations of psychiatric disorders. (4) Knowledge of and experience with deep learning. *Application procedure:* Please send an email with title “[Postdoc Application] + your name” to mingbo.cai(a)ircn.jp. Please include a cover letter describing your background and research interest, a curriculum vitae, and contact information for 2-3 recommendation letters (ideally you can also request your referees to send their letters directly to the above email address). To increase the chance of being considered, we suggest you include writing samples or a copy of a poster. Informal inquiry can also be sent to Dr. Cai. *Application deadline:* The first deadline is March 31. The position will remain open until filled. We encourage early application as the review can start before the deadline. Mingbo Cai Principal Investigator International Research Center for Neurointelligence The University of Tokyo https://cailab-ircn.org/ Mingbo Cai

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WorldWideNeuRise online seminar series on inter-areal communication
by William Podlaski March 1, 2021

March 1, 2021

WorldWideNeuRise is an online seminar series affiliated with WorldWideNeuro and eLife which aims to give early career researchers a chance to share their work. We will have several talks throughout March-April on the topic of inter-areal communication from the following speakers: Wednesday, 3 March, 5pm CET Arseny Finkelstein (Svododa lab, Janelia HHMI) Wednesday, 10 March, 5pm CET Aleena Garner (Keller lab, Friedrich Miescher Institute) Kelly Clancy (Mrsic-Flogel lab, University College London) Wednesday, 24 March, 5pm CET Matthew Perich (Rajan lab, Mount Sinai) Evren Gokcen (Yu lab, Carnegie Mellon University) Wednesday, 7 April, 5pm CET Monique Smith (Malenka lab, Stanford University) Adi Kol (Goshen lab, Hebrew University of Jerusalem) Wednesday, 21 April, 5pm CET David Tingley (Buzsáki lab, New York University) Javad Karimi Abadchi (Mohajerani & McNaughton labs, University of Lethbridge) For more information, please visit our website (https://neurise.github.io/) find us on WorldWideNeuro (https://www.world-wide.org/Neuro/WWNeuRise/) or follow us on Twitter (https://twitter.com/WWNeuRise) We are looking forward to seeing you there! The organising committee, Ellen Boven (Apps lab, U Bristol) Christina Buetfering (Häusser lab, U College London) Lucie Descamps (Kentros lab, NTNU) Gily Ginosar (Ulanovsky lab, Weizmann Institute) Loreen Hertäg (Sprekeler lab, TU Berlin) Joram Keijser (Sprekeler lab, TU Berlin) Bill Podlaski (Machens lab, Champalimaud)

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Registration open for the second Canadian Computational Neuroscience Spotlight (CCNSv2)
by Scott Rich March 1, 2021

March 1, 2021

Dear Comp-Neuro Mailing List, Last year, the Canadian Computational Neuroscience Spotlight <https://www.crowdcast.io/e/CCNS/register> (CCNS) was one of the first neuroscience conferences to successfully transition into the virtual space <https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008…> due to the COVID-19 pandemic, with more than 450 registrants from across the globe. Given the overwhelmingly positive feedback we received from this first meeting, we are excited to announce a “v2” of the conference will take place this coming May 17-18, and registration is now open <https://www.crowdcast.io/e/ccnsv2/register>. We are hoping that you will not only register for the meeting, but advertise it via email listservs, social media, and any other avenues you deem appropriate. CCNSv2 will feature four sessions chaired by internationally recognized computational neuroscientists on topics that bridge the multiple scales at which neuroscience research, both computationally and experimentally, is performed. Three of our four chairs are currently confirmed: *Dr. Etay Hay* of the Krembil Centre for Neuroinformatics, *Dr. Maurizio de Pitta *of the Basque Center for Applied Mathematics, and *Dr. Bratislav Misic* of McGill University. As CCNS was designed as a “trainee focused” meeting, each session will begin with a tutorial talk in which a topic of importance will be introduced for a broad audience. We also will host two panel discussions, one with experienced computational neuroscience researchers and the other with ECRs and current trainees, to provide a forum for trainees to ask questions of scientists at various stages of their careers. We invite all trainees to submit an abstract <https://docs.google.com/forms/d/e/1FAIpQLSdCRPkDuPdoS3M7PISDITXfB__rWDiFEi9…> to give a “trainee talk” at the meeting. We anticipate accepting all applications that reasonably fall under the broad banner of computational neuroscience unless the demand far exceeds our expectations. We will also provide an additional spotlight to four talks that are both the most meritorious and best fit with the focused themes of the meeting. Please do not hesitate to contact us if you have any further questions regarding this meeting or manners of advertising it. We look forward to seeing you at CCNSv2! Sincerely, The CCNS Organizing Committee Scott Rich <http://scottrich.strikingly.com/>, Ph.D.: Postdoctoral Research Fellow, Krembil Research Institute Andreea Diaconescu <https://cognemo.com/>, Ph.D.: Independent Scientist, Krembil Center for Neuroinformatics at CAMH John Griffiths <https://t.co/AlUQymEUae?amp=1>, Ph.D.: Independent Scientist, Krembil Center for Neuroinformatics at CAMH Milad Lankarany <https://sites.google.com/view/lnsbsp/home>, Ph.D.: Scientist, Krembil Research Institute

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Computational Brain Reimagined
by Aurel A. Lazar March 1, 2021

March 1, 2021

In recent years, the growing wealth of Drosophila neuroscience data have become available including cell type and connectome/synaptome datasets for both the larva and adult fly. To facilitate integration across data modalities and to accelerate the understanding of the functional logic of the fruit fly brain, we have developed FlyBrainLab, a unique open-source computing platform that integrates 3D exploration and visualization of diverse datasets with interactive exploration of the functional logic of modeled executable brain circuits. For a brief description, see the eLIFE paper: "Accelerating with FlyBrainLab the Discovery of the Functional Logic of the Drosophila Brain in the Connectomic Era”, February 2021, https://elifesciences.org/articles/62362 Further details are available on the Fruit Fly Brain Observatory website at https://www.fruitflybrain.org/#/ <https://www.fruitflybrain.org/#/> Here you will find guides to a wealth of fruit fly brain datasets and libraries to interactively explore circuit models. Check out "Exploring the Fruit Fly Brain Observatory” at https://www.fruitflybrain.org/#/posts/explore_ffbo <https://www.fruitflybrain.org/#/posts/explore_ffbo> and the links to open source code posted on Github: https://www.fruitflybrain.org/#/posts/resources <https://www.fruitflybrain.org/#/posts/resources> Best, Aurel http://www.bionet.ee.columbia.edu

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Modellers Workshop for the Brain Dynamics Toolbox
by Stewart Heitmann March 1, 2021

March 1, 2021

Modeller’s Workshop for the Brain Dynamics Toolbox Online Course. Enrolments open 1-20 March 2021. This is a practical self-paced course for researchers and students who wish to program their own dynamical models using the Brain Dynamics Toolbox (bdtoolbox.org<https://bdtoolbox.org/>). Participants learn the art of programming differential equations and how to use the toolbox to solve those equations interactively. Topics include programming Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. Course Website https://bdtoolbox.org/p/modellers-workshop/ Important Dates Early-bird enrolments ($125) close Sunday 6th March, 2021. Late enrolments ($150) close Saturday 20th March, 2021. Stewart Heitmann Disclaimer The information contained in this communication from the sender is confidential. It is intended solely for use by the recipient and others authorized to receive it. If you are not the recipient, you are hereby notified that any disclosure, copying, distribution or taking action in relation of the contents of this information is strictly prohibited and may be unlawful. This email has been scanned for viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business. Providing a safer and more useful place for your human generated data. Specializing in; Security, archiving and compliance. To find out more visit the Mimecast website.

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[CFP] Submission deadline extended to Mar 5: ICLR Workshop on How Can Findings About The Brain Improve AI Systems?
by Mariya Toneva Feb. 28, 2021

Feb. 28, 2021

ICLR 2021 - Workshop on "How Can Findings About The Brain Improve AI Systems?" Submission deadline: extended to March 5, 2021 Workshop website: https://iclrbrain2ai.github.io/ Contact: brain2ai.2021(a)gmail.com We will consider the following (non-exhaustive) list of topics for contribution: - Integration of neuroscientific data at different granularities (neural recordings, neuroimaging etc.) to train AI systems - Brain-inspired inductive biases and ML architectures for AI systems - Neuroscientific data as an evaluation metric for AI systems - Mechanistic insight into cognitive functions (vision, language, decision making, attention, etc.) - Limitations of current AI systems in tasks at which humans excel (compositionality, commonsense reasoning, continual learning, few-shot learning, causality, etc.) - Cross-modality and cross-species comparisons of neuroscientific data with respect to benefits to AI - Datasets that can facilitate the transfer of neuroscientific insight to AI Submit at: https://cmt3.research.microsoft.com/BRAIN2AI2021/Submission/Index The workshop will feature a diverse set of topics led by the following invited speakers and panelists (in alphabetical order): 1. Anima Anandkumar, California Institute of Technology 2. David Cox, Harvard University 3. Kenji Doya, Okinawa Institute of Science and Technology Graduate University 4. Allyson Ettinger, University of Chicago 5. Alona Fyshe, University of Alberta 6. Jack Gallant, University of California, Berkeley 7. Andrea Martin, Max Planck Institute for Psycholinguistics 8. Kim Stachenfeld, DeepMind 9. Josh Tenenbaum, MIT

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Postdoctoral Fellow/Research Associate position in the Theoretical and Computational Neuroscience group at Drexel University
by Ilya Rybak Feb. 26, 2021

Feb. 26, 2021

The Theoretical and Computational Neuroscience group at the Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA (https://drexel.edu/medicine/about/departments/neurobiology-anatomy/research…) has an open Postdoctoral Fellow/Research Associate position in computational neuroscience to work on computational modeling of neural circuits in the brainstem and spinal cord involved in the neural and biomechanical control of mammalian locomotion. The modeling studies in the group are performed in close, interactive collaborations with several leading laboratories in the US, Canada and Europe performing the related experimental investigations, as well as with several investigators and groups focusing on control of legged robot locomotion. The successful applicant should have strong programming skills, some background in neuroscience and experience in modeling of biological neurons and neural networks. Some mathematical background is desirable. An experience in computational modeling of biomechanics is a plus. If you are interested, please email your CV, statement of research interest, and names of three references to Ilya Rybak (rybak(a)drexel.edu<mailto:rybak@drexel.edu>). The position will remain open until filled. ================================= Ilya A. Rybak, Ph.D. Professor Department of Neurobiology and Anatomy Drexel University College of Medicine 2900 Queen Lane Philadelphia, PA 19129 USA Tel.: (215) 991-8596 Email: rybak(a)drexel.edu https://pubmed.ncbi.nlm.nih.gov/?term=rybak+IA&sort=date <https://www.researchgate.net/profile/Ilya_Rybak/publications/> http://scholar.google.com/citations?hl=en&user=SnA068QAAAAJ http://rybak-et-al.net http://www.drexel.edu/medicine/About/Departments/Neurobiology-Anatomy/Resea…

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Job opening in Juelich, Germany: Coordinator Software Development -, Neuronal Data Analysis Tools
by Martina Reske Feb. 26, 2021

Feb. 26, 2021

The Institute of Neuroscience and Medicine (INM) at the Jülich Research Center in Germany investigates the structure and function of the brain. The subinstitute Computational and Systems Neuroscience (INM-6) consists of 6 groups that conduct research in the field of computational and systems neuroscience. The Statistical Neuroscience group headed by Prof. Sonja Grün develops computational methods to analyze the joint activity of neuronal networks, and applies these methods to experimental data in the context of international collaborations. As part of the group, the team for Data Science in Electro- and Optophysiology Behavioral Neuroscience, headed by Dr. Michael Denker, develops software tools and processes to support reproducible data acquisition, analysis and model validation using state-of-the-art approaches from neuroinformatics in the spirit of co-design with scientists and closely integrated with the EBRAINS services of the Human Brain Project. To strengthen our international and interdisciplinary team we are looking to recruit a Coordinator Software Development - Neuronal Data Analysis Tools Your Job: * Agile development, maintenance, coordination and distribution of the open-source Elephant analysis software (python-elephant.org) and closely related software tools, including handling inquiries and contributions via issue systems and similar channels * Design of implementations of library features and statistical analysis tools for neuronal data * Development of solutions for software packaging, including deployment on HPC systems * Maintenance and improvement of the interactive software documentation, including content for the presentation of the software on the web and on social media * Parallelization of analysis codes using modern technologies * Development of a service-based architecture for analysis tasks * Review and evaluation of software contributions from a world-wide community with respect to scientific content, the code maturity, and the possibility to be integrated into the Elephant software * Co-design and dissemination of generic conceptual guidelines and project-specific implementations for scientific workflows * Close interaction with developers of EBRAINS and across the globe * Representing the technology at scientific conferences, during educational courses, to the public, and within the framework of the EU Flagship Project “Human Brain Project” Your Profile: * Completed study (Master) in natural sciences, computer science or mathematics * Very good expertise in the programming languages Python and C/C++; knowledge of Matlab and web-based technologies (e.g., javasscript); experience with parallelization techniques (e.g., MPI) and in the standard Linux tools; experience in web-based services for managing software (version control, issue tracking, CI,…) * Experience in implementing scientific analysis methods and creating documentation and course material * Experience in maintaining open source software projects * High ability to work in an interdisciplinary, international team * Structured and organized style of working * Fluent in English, spoken and written * Ability to work independently, systematically and on one’s own responsibility * Good communication skills with software developers and scientists * Willingness to travel Note that it is not necessary to fulfil all of these requirements in order to be considered for the position Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with: * A position in a creative and international team that conducts research at the frontiers of science, themes ranging from computational neuroscience to simulation technology * World class science environment at the interface between neuroscience and technology on the most complex known systems * Excellent scientific equipment including the fastest supercomputer in Europe * Comprehensive training courses and individual opportunities for personal and professional further development * Extensive company health management * Ideal conditions for balancing work and private life, as well as a family-friendly corporate policy * Flexible working hours and 30 days of annual leave * Targeted services for international employees, e.g. through our International Advisory Service We offer you an exciting and varied role in an international and interdisciplinary working environment. Limited until 31.03.2023, with possible long-term prospects. Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD). Depending on the applicant`s qualifications and the precise nature of the tasks, salary grade 13-14 TVöD-Bund. Forschungszentrum Jülich promotes equal opportunities and diversity in its employment relations. We also welcome applications from disabled persons. We look forward to receiving your application until 28.03.2021 via our Online-Recruitment-System<https://www.hrecruiting.de/obf2/index.php?kunden_nr=t5ChjatkIfdwmACO&link_i…>! Kind regards Martina -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de<http://www.csn.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 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Assistant Professor / Postdoc position in computational neuroscience and/or developmental robotics at the University of Tokyo
by Yukie Nagai Feb. 26, 2021

Feb. 26, 2021

Dear colleagues, The International Research Center for Neurointelligence (IRCN) at the University of Tokyo is looking for highly motivated full-time Assistant Professor / Postdoc researchers in the field of computational neuroscience and/or developmental robotics. The selected candidates will join Cognitive Developmental Robotics Laboratory head by Prof. Yukie Nagai and have the opportunity to pursue interdisciplinary research integrating computer science, robotics, neuroscience, cognitive science, and psychology. If you are interested in being considered, please send the required documents to yukie(a)ircn.jp. Assistant Professor / Postdoc Researcher at IRCN, the University of Tokyo https://ircn.jp/en/careers/postdoctoral-fellow-project-researcher-nagai-lab… Cognitive Developmental Robotics Laboratory (Nagai Lab) http://developmental-robotics.jp --------------------------------------------------------------------------------- 1. Job title: Project Assistant Professor / Project Researcher (Postdoctoral Fellow) 2. Starting Date: Negotiable 3. Term: The first contract will be ended on March 31, 2022. The contract is renewable on a fiscal year basis (from April 1 to March 31; every year) according to research budget and research achievements. 4. Place of Work International Research Center for Neurointelligence, The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo, 113-0033 JAPAN 5. Qualifications (Required) - Ph.D. in Computer Science, Ph.D. in Engineering, or equivalent in a related field - Good communication skill in English (Preferred) - Experiences in computational neuroscience, neural network, machine learning, and/or developmental robotics are preferred. 6. Compensation & Benefits - Salary: To be determined in accordance with the University of Tokyo Regulations - Commuter allowance: JPY55,000 per month at maximum - Social Insurance: Eligible for MEXT Mutual Aid Association membership, employees’ pension, employment insurance, and workers’ accident compensation insurance. - Vacation: Annual paid vacation, Sick leave (paid), Special vacation (paid) 7. Working Hours Discretionary labor system, based on 7 hours, 45 minutes per day, or 38 hours 45 minutes per week 8. Holidays Saturdays and Sundays; Statutory public holidays of Japan; Year-end and New Year holidays (December 29 through January 3); Summer holidays 9. Applications - Deadline: When the position is filled - Application documents: (a) Cover letter in English (b) Curriculum vita in English (c) Publication list (d) Name and contact address for two references, one of which should be a previous employer - Submission: Interested applicants should send application materials to: yukie(a)ircn.jp 10. Selection Process All applications will be screened, and only those qualified will be scheduled for an online interview. --------------------------------------------------------------------------------- — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | http://developmental-robotics.jp CREST Cognitive Mirroring: http://cognitive-mirroring.org

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Computational postdoctoral position in the lab of Nancy Kopell
by McCarthy, Michelle M Feb. 25, 2021

Feb. 25, 2021

The group of N. Kopell has an opening for an energetic postdoctoral fellow who will work with experimentalists Don Arnold, Scott Fraser and others on fear conditioning and extinction in zebra fish. Such learning is known to involve temporally complex alterations in multiple brain rhythms in multiple areas of the brain, and the postdoc will work with the Kopell group and the experimentalists to understand the origin of the rhythmic changes and the effects on plasticity needed for conditioning and extinction. The relevant data involve state of the art imaging with a spatial resolution of single spines and temporal resolution fast enough to record fast brain oscillations. The relevant computations will involve networks of biophysically detailed model neurons. The successful applicant will have some background in neuroscience and experience in coding with biophysically detailed equations. Some mathematical background is desirable. If you are interested, please email Kopell: nk(a)bu.edu<mailto:nk@bu.edu>, and have three letters of recommendation sent to her via email. Also include a CV and a statement of research interests.

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Shanahan Foundation Fellowship at the Interface of Data and Neuroscience
by Adrienne L Fairhall Feb. 25, 2021

Feb. 25, 2021

We are thrilled to announce the *Shanahan Foundation Fellowship at the Interface of Data and Neuroscience* co-hosted by the Allen Institute and the University of Washington (through its eScience Institute and the Computational Neuroscience Center) in Seattle. The fellowships are funded by the Shanahan Family Foundation and the Allen Institute. This three-year data science postdoctoral fellowship program aims to *Integrate Data Scientists into Neuroscience Research*. Fellows will receive interdisiplinary co-mentorship by scientists from the Allen Institute and University of Washington. Data science is broadly interpreted to include those with PhD level training in relevant areas including physical sciences, mathematics, statistics and computer science. Please see details and application instructions here: https://alleninstitute.org/what-we-do/brain-science/careers/shanahan-founda…

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Shanahan Foundation Fellowship at the Interface of Data and Neuroscience
by Anton Arkhipov Feb. 25, 2021

Feb. 25, 2021

Announcing the Shanahan Foundation Fellowship at the Interface of Data and Neuroscience co-hosted by the Allen Institute and the University of Washington (through its eScience Institute and the Computational Neuroscience Center) and directed by Christof Koch, Ph.D.<https://alleninstitute.org/what-we-do/brain-science/about/team/staff-profil…>, Chief Scientist for the MindScope Program at the Allen Institute. The fellowships are funded by the Shanahan Family Foundation and the Allen Institute. This three-year data science postdoctoral fellowship program aims to Integrate Data Scientists into Neuroscience Research and provides Multidisciplinary, Multi-organizational Co-Mentorship (from the Allen Institute and University of Washington). Please see details and application instructions here: https://alleninstitute.org/what-we-do/brain-science/careers/shanahan-founda… Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> [Text Description automatically generated] alleninstitute.org<https://alleninstitute.org> brain-map.org

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CFP for PhD candidates in SPIKE NEURAL NETWORK FOR ATMOSPHERIC DATA MINING
by Chaabane Djeraba Feb. 25, 2021

Feb. 25, 2021

The FOX research team from the CRIStAL laboratory (UMR CNRS) of Lille University - FR, in collaboration with bio-inspired team of Kent University - UK is looking for PhD student candidates on the following subject : SPIKE NEURAL NETWORK FOR ATMOSPHERIC DATA MINING Title : SPIKE NEURAL NETWORK FOR ATMOSPHERIC DATA MINING Abstract of the PhD subject : The objective of the PhD thesis is the study of bio-inspired pattern recognition of atmospheric phenomena, from earth observation satellite. In particular, the thesis project studies neuromorphic learning approach for the classification of spatiotemporal image sequences available in large quantities and without terrain truth or with very limited terrain truth. The data are aerosols, collected from earth observation satellites. The results of the thesis will contribute to make a large amount of atmospheric data accessible, even exploitable by the scientific community in the domain of the detection, tracking and prediction of the air quality. We are looking for excellent PhD candidates in thre domain of AI applied to atmospheric data. Key words : Spike neural network, Machine learning, Artificial intelligence, atmospheric data mining Candidates must hold a Master degree in Computer Science, Mathematics, Statistics. Experience in one or more of the following is a plus: • image processing, computer vision; • machine learning; • research methodology (literature review, experimentation…). Candidates should have the following skills: • good proficiency in English, both spoken and written; • scientific writing; • programming (experience in Python, Java or C++). More details are available here : https://filesender.renater.fr/?s=download&token=76a3ba06-63af-43a7-a34a-40e… The PHD thesis will be funded in the framework of the AI_PhD@Lille program. http://www.isite-ulne.fr/index.php/en/phd-in-artificial-intelligence/ http://www.isite-ulne.fr/wp-content/uploads/2021/02/Thèses-IA_Campagne2021_… www.isite-ulne.fr/wp-content/uploads/2021/02/Thèses-IA_Campagne2021_I_Site… The candidate will be funded for 3 years; he/she is expected to defend his/her thesis and graduate by the end of the contract. The monthly gross salary is around 2000€, including benefits (health insurance, retirement fund, and paid vacations). Additional financial support is expected in the framework of the AI_PhD@Lille program. The position is located in Lille, France. With over 110 000 students, the metropolitan area of Lille is one France's top education student cities. The European Doctoral College Lille Nord-Pas de Calais is headquartered in Lille Metropole and includes 3,000 PhD Doctorate students supported by university research laboratories. Lille has a convenient location in the European high-speed rail network. It lies on the Eurostar line to London (1:20 hour journey). The French TGV network also puts it only 1 hour from Paris, 35 mn from Brussels, and a short trips to other major centres in France such as Paris, Marseille and Lyon. We look forward to receiving your application as soon as possible, but no later than 20.03.2021. — Chaabane Djeraba (PhD), Professeur, Univ. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, Bat. IRCICA, 50 avenue Halley, 59650 Villeneuve d’Ascq, France, chabane.djeraba(a)univ-lille.fr

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Open Master, PhD and Postdoc positions in Germany
by Tatjana Tchumatchenko Feb. 25, 2021

Feb. 25, 2021

Dear friends and colleagues, I would appreciate if you could spread the word among your students and postdocs. My group which is now at the University of Bonn is looking for Master Students, PhD Students and Postdocs Master Students, PhD Students or Postdocs interested in understanding how neuronal networks work, how they respond to stimuli and what role connectivity and single neuron dynamics play for the activity of the brain. Though the focus of my research is on the theory side, my lab has close ties to experimentally oriented labs and Master projects could include both theory and experiments. We are looking for bright and hard-working students with a life-science or quantitative background (physics, math, biology etc). The following PhD projects are currently open: 1) A project exploring the intersection of protein dynamics and machine learning 2) A project designing models describing protein dynamics in dendrites and analyzing imaging data, https://jobrxiv.org/job/institute-of-experimental-epileptology-and-cognitio… The postdoctoral position will address the relation between neurological diseases, protein dynamics and network activity. When applying please attach a CV (with a publication record) and a current copy of academic transcripts and mention at least one academic reference. For more information, please contact Prof. Tatjana Tchumatchenko via email tatjana.tchumatchenko(a)uni-bonn.de https://twitter.com/TTchumatchenko www.tchumatchenko.de

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PhD position in cognitively-inspired reinforcement learning for robotics at Sheffield, UK
by Aditya Gilra Feb. 25, 2021

Feb. 25, 2021

Dear all, Announcing a PhD position with Dr Aditya Gilra and Dr James Law at the University of Sheffield, UK on "Incorporating self- and world-models in neural networks for flexible robot learning and control". The position is funded for 3.5 years by the EPSRC. Details at: https://www.findaphd.com/phds/project/incorporating-self-and-world-models-i… Candidates will be interviewed on a rolling basis as the applications come in. International (non-UK) candidates are advised to apply well in advance of the 7th March deadline. Don't hesitate to email back for further details. Best, Aditya. -- Aditya Gilra, Lecturer (Assistant Professor), Machine Learning Group <https://www.sheffield.ac.uk/dcs/research/groups/machine-learning> & Neuroscience Institute <https://www.sheffield.ac.uk/neuroscience-institute/research/computational-a…> , Department of Computer Science, University of Sheffield, UK. https://www.sheffield.ac.uk/dcs/people/academic/aditya-gilra http://www.adityagilra.net/

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Three Post-Doc / Research Associate positions in 'Causal eXplainable Reinforcement Learning' project at Sheffield / Vienna / Lille
by Aditya Gilra Feb. 25, 2021

Feb. 25, 2021

Dear All, Announcing three post-doc / research associate openings to work closely together as part of a ~3 year Chist-Era project, to develop causal inference methods for explainable actions in reinforcement learning ( https://www.chistera.eu/projects/causalxrl) starting in ~Q2, 2021: -> At the University of Sheffield with Dr Aditya Gilra and Prof Eleni Vasilaki, with an emphasis on biologically-plausible neural circuits -- https://www.jobs.ac.uk/job/CEH708/research-associate-in-causal-explainable-… (Deadline: 18th March 2021, but might be extended). -> At the University of Vienna with Prof Moritz Grosse-Wentrup, with an emphasis on causal inference and brain-computer interfaces -- https://ni.cs.univie.ac.at/ (ad to appear). -> At INRIA Lille with Prof Philippe Preux, with an emphasis on reinforcement learning and applications -- https://jobs.inria.fr/public/classic/en/offres/2020-03209 (Deadline: 31st March 2021). Please feel free to email back for any further information. Best, Aditya. -- Aditya Gilra, Lecturer (Assistant Professor), Machine Learning Group <https://www.sheffield.ac.uk/dcs/research/groups/machine-learning> & Neuroscience Institute <https://www.sheffield.ac.uk/neuroscience-institute/research/computational-a…> , Department of Computer Science <https://www.sheffield.ac.uk/dcs>, University of Sheffield <https://www.sheffield.ac.uk/>, UK. https://www.sheffield.ac.uk/dcs/people/academic/aditya-gilra http://www.adityagilra.net/

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