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Info Day - International Master & PhD in Computational Neuroscience @ BCCN Berlin - 26.01.22
by Graduate Programs Dec. 7, 2021

Dec. 7, 2021

Dear Computational Neuroscientists, Please share the following event information with anyone who may be interested. We at the Bernstein Center for Computational Neuroscience (BCCN) Berlin will hold a hybrid "Info Day" to discuss our International Master & Doctoral Programs in Computational Neuroscience on Wednesday, January 26th, at 3pm (CET). The event will consist of talks by: * Prof. Dr. Klaus Obermayer (head of the programs) * Lisa Velenosi (teaching coordinator) * Current master and doctoral students Attendees will also have the opportunity to meet & discuss with current students and ask any questions or concerns that they may have. See our website <https://www.bccn-berlin.de/events-list/information-day-2022-international-g…> for a more detailed schedule and registration link. Best regards and I hope that everyone is staying healthy, Lisa Velenosi -- Lisa Velenosi Teaching Coordinator Bernstein Center for Computational Neuroscience Humboldt-Universität zu Berlin Philippstraße 13, Haus 6; 10115 Berlin; Germany Tel: +49 (0)30 2093 6773 Technische Universität Berlin Marchstraße 23; Raum 5.061; 10587 Berlin; Germany Tel: +49 (0)30 314 72006 SFB1315 - Network Outreach Coordinator PhD & Postdoc Cohort

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3rd BCI-UC: Voting open until Sunday
by Anja Meunier Dec. 6, 2021

Dec. 6, 2021

Dear colleagues, the voting period for the 3rd BCI Un-Conference is now open! Find the registration and voting portal here [1] [1]. We have received many excellent submissions, now it is your turn to vote for those that you would like to hear about during BCI-UC on January 27th, 2022. The voting portal will be open until Sunday, December 12th, 2021, 11:59 pm (CET). We will invite the authors of the top-voted abstracts to present at the un-conference. In addition, the 3rd BCI-UC will feature keynotes by Cynthia Chestek (University of Michigan) [2] and Thorsten Zander (TU Brandenburg) [3]. BCI-UC is an online un-conference that provides rapid dissemination of novel research results in the BCI community. Participants can submit abstracts to apply for 20 minutes presentation slots. Abstracts are not reviewed by a program committee. Rather, all registered participants can vote on which of the submitted abstracts they would like to see presented at the un-conference. Because the BCI-UC does not publish conference proceedings, submitted abstracts can report novel as well as already published work. Registration and attendance are free of charge. Presentations of the 1st and 2nd BCI-UC can be re-watched [4]. Join us in setting the BCIUC agenda! The BCI-UC committee: Moritz Grosse-Wentrup Anja Meunier Philipp Raggam Jiachen Xu Links: [1] https://bciunconference.univie.ac.at/register-vote/ [2] https://scholar.google.com/citations?user=36sxAZEAAAAJ&hl=de [3] https://scholar.google.com/citations?hl=en&user=0E49HxYAAAAJ [4] https://bciunconference.univie.ac.at/past-events/ Links: ------ [1] https://bciunconference.univie.ac.at/register-vote/

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Announcement of Reopened Research Topic — Frontiers in Computational Neuroscience
by James R Kozloski Dec. 2, 2021

Dec. 2, 2021

In collaboration with Frontiers in Computational Neuroscience, we are announcing the launch of the Research Topic: Cortico-striato-nigro-thalamo-cortical Modeling for Understanding Motor Function and Neurodegenerative Disease vol II Hosted by Pengsheng Zheng, James Kozloski, Timothy Rumbell, George V. Rebec. We would like to encourage you to contribute to this topic. Please find more information about Research Topics below, including the publishing fees that apply. You can also visit the homepage we have created on the Frontiers website, which defines the focus of the topic, and where all published articles will appear: https://www.frontiersin.org/research-topics/28267/cortico-striato-nigro-tha… Movement in the body is directly controlled by motor cortex, and also determined by multiple subcortical structures, such as thalamus and the basal ganglia (including striatum and dopamine neurons in the substantia nigra). Many lines of evidence have suggested the cortico-striato-nigro-thalamo-cortical circuitry plays a major role in motor learning and control. This circuitry has also been investigated for its causal role in the onset and progression of neurodegenerative diseases. Neurodegenerative diseases are often associated with movement disorders and neuronal dysfunction in degenerated brain structures, such as the striatum in Huntington’s disease and dopaminergic neurons in the substantia nigra pars compacta in Parkinson's disease. Degeneration fundamentally changes the dynamics of local neuronal circuits, and these changes then propagate through the structural connectome of whole brain circuitry, eventually altering global brain dynamics. However, our current understanding of these system dynamics in the cortico-striato-nigro-thalamo-cortical circuitry remains rudimentary. Hence, theoretical studies about critical system variables and computational principles of this circuitry, constrained by recordings throughout, will shed new light on causes of motor dysfunction and neurodegenerative diseases. This Research Topic of Frontiers in Computational Neuroscience aims to bring together recent advances in theoretical modeling of cortico-striato-nigro-thalamo-cortical network and experimental observations. Topics of interest include, but are not limited to, local brain circuit modeling, the functional role of neuronal plasticity in the local and global circuit, global circuit interactions and information exchange, new models validated by experimental observations, and dynamic disease risk analysis through perturbation studies. ____________________________________________________________ James Kozloski, PhD. Research Staff Member Manager, Multiscale Computational Modeling IBM Research, Healthcare and Life Sciences Research Member IBM Academy of Technology IBM Master Inventor IBM T.J. Watson Research Center P.O. Box 218 1101 Kitchawan Rd. Room 13-132E Yorktown Heights NY 10598 kozloski(a)us.ibm.com +1-914-945-3982 ibm.co/kozloski

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INCF endorses a new FAIR software best practice!
by INCF Dec. 2, 2021

Dec. 2, 2021

*INCF endorses the Five Recommendations for FAIR Software as a Best Practice* The Five Recommendations for FAIR Software <https://fair-software.eu/> aim to encourage the greater adoption of FAIR principles by providing a set of starting recommendations that researchers can use to improve the quality, reach, and reproducibility of their software. The recommendations were created by The Netherlands eScience Center <https://www.esciencecenter.nl/> and DANS <https://dans.knaw.nl/en/>, the Dutch national centre of expertise and repository for research data. The Five Recommendations for FAIR Software were endorsed on November 30, 2021, after a public comment period and review by the INCF SBP committee. Find their use cases here <http://bit.ly/SBP5recommendations>. Learn more about the recommendations here <https://bit.ly/5recommendationsblog>. /The INCF Secretariat

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Video recording from Online Workshop "Towards multipurpose neural network models II: Model testing and model fitting"
by Zélie Tournoud Dec. 2, 2021

Dec. 2, 2021

Dear colleagues, We are happy to inform you that the video recordings from the *Workshop on "Towards multipurpose neural network models II: Model testing and model fitting" *are now available to watch online: See the playlist here. <https://www.youtube.com/playlist?list=PLGAiaveljnk9yz_vMjlZckOMnObk1WtlJ> ** **It took placefrom 30 September to 01 October 2021 and has been organized by Anton Arkhipov (Allen Institute, Seattle), Gaute Einevoll (NMBU/University of Oslo), with the support of the European Institute for Theoretical Neuroscience. We hope the content for these videos will be of interest for you. Kind regards, *Zélie Tournoud*/ Communication manager at EITN/ *European Institute for Theoretical Neuroscience (EITN)* UMR 9197 – *NeuroPSI*(Institut des Neurosciences Paris-Saclay) CNRS – Université Paris-Saclay 151 route de la Rotonde Bâtiment 151 91400 Saclay https://www.eitn.org */Mailing address:/*/// UMR 9197 NeuroPSI BP 45 – 91940 Les Ulis Courtaboeuf/ **

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Doctoral position on foraging dynamics in natural environment.
by Ahmed El Hady Dec. 2, 2021

Dec. 2, 2021

We are offering a PhD position at the International Max planck Research School for Quantitative Behavior, Ecology and Evolution from lab to field (IMPRS-QBEE) situated in the beautiful German town of Konstanz. It is a newly established highly interdisciplinary school that brings a full breadth of expertise from ecology to physics to computer science to neurobiology in order to understand animal behavior across the whole animal kingdom . For more information about the school, please check this website: https://www.ab.mpg.de/3228/imprs . The deadline for application is mid-january 2022: https://www.ab.mpg.de/406326/applications-2022 The PhD project I am offering is a joint project between my group and the group of Einat Couzin , both situated at the Center for advanced study of collective behavior and the Max Planck institute of Animal Behavior in Konstanz. Below are the details of the project ( https://www.ab.mpg.de/426580/Couzin-Fuch_El-Hady ): Foraging is a universal, evolutionary conserved, behavior as animals in nature forage in groups across large spaces looking for resources to satisfy their energetic needs. To date, laboratory experiments have been constrained to animals foraging in small spaces and in small groups. There is an increasing evidence that both neural and behavioral dynamics, however, are principally different in natural spatial scales. The project aims to investigate basic principles underlying foraging decisions in large-scale dynamic environments, that mimic natural habitats. We will focus on two very different model organisms, each exhibits different adaptations to foraging under conditions of considerable uncertainty: swarm-forming locusts and rats. The experiments will be performed at the imaging hangar in the visual computing of collective building at Konstanz University. The imaging hangar is the largest indoor animal imaging facility in the world, offering the opportunity to perform foraging experiments at an unprecedented scale. Using patch foraging as a quintessential behavioral paradigm, and a combination of high throughput continuous video tracking and quantitative modeling approaches, we aim to elucidate how foraging strategies are updated in a changing social and physical world. You will join our interdisciplinary team at the Max Planck Institute for Animal Behaviour (https://www.ab.mpg.de/) and the Excellence Cluster for the Advanced Study of Collective Behaviour (www.exc.uni-konstanz.de/collective-behaviour) The Max Planck Society and Konstanz University are equal opportunity employers that are committed to provide employment opportunities to all qualified applicants without regard to race, color, religion, age, nation, sexual orientation, gender identity, or disability. They seek to increase the number of women in those areas where they are underrepresented and therefore explicitly encourage women to apply. Requirements: • MSc in neuroscience, biology, physics and a clear interest in animal behaviour. • Quantitative skills. Proficiency in at least one programming language is required (C, Python or Matlab) • Good communication and writing skills. Supervisors: Ahmed El Hady ahady(a)ab.mpg.de Einat Couzin-Fuchs einat.couzin(a)uni-konstanz.de For more information , please do not hesitate to contact me.

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Diversity in Research Papers Award - applications by 21.12
by Abigail Morrison Dec. 1, 2021

Dec. 1, 2021

Dear colleagues, the Human Brain Project<https://secure-web.cisco.com/1W1yXA3r1eMXG2QECkXE7pE47kLRIgETwWjcqqDDu-0Bvs…> (HBP) launched the (DIRPA), inviting applications for the Best Diversity in Research Papers, i.e. publications that consider diversity traits such as sex, gender, age, ethnicity, etc. in their specific field of research such as neuroscience, AI or robotics. Differentiating variables has been recognised to be relevant from the level of stem cells to the reproduction of biases by AI applications. Considering sex/gender has become a mandatory requirement for Horizon Europe projects<https://secure-web.cisco.com/1N4suA7zlj2Htjj6Fi7aKdpAUd4iHisVvlrhWpFIHgjDbu…> (see also “Gendered Innovations” policy report<https://secure-web.cisco.com/1Z9Dobl_iN2xA4AcAe6cJuwwKTPhmwWVtRS87wuGclvzeA…>). The most outstanding papers will 1. be awarded with a certificate of honour. 2. be presented at the heart of a webinar to a large audience in a dedicated online event organised and promoted by the HBP<https://secure-web.cisco.com/1W1yXA3r1eMXG2QECkXE7pE47kLRIgETwWjcqqDDu-0Bvs…> and EBRAINS<https://secure-web.cisco.com/18-6-i2_g4ZweyCoaJtiyysPp45EhpsYRRnqKX35IoyD3n…>, where the authors will discuss their research related to diversity with Lutz Jäncke and further keynote speakers in April 2022. 3. be promoted with a news feature on the HBP and related Web Sites, as well as social media channels with several thousand followers. 4. especially early-stage researchers will receive a voucher for a HBP event of choice. Submission deadline: 21st December 2021 More information & submission: https://www.humanbrainproject.eu/en/about/gender-equality/measures-and-mate… _______________________________________________________ -- Prof. Dr. Abigail Morrison IAS-6 / INM-6 / SimLab Neuroscience Jülich Research Center & Computer Science 3 - Software Engineering RWTH Aachen http://www.fz-juelich.de/inm/inm-6 http://www.fz-juelich.de/ias/jsc/slns http://www.se-rwth.de Office: +49 2428 8097504 Fax # : +49 2461 61-9460 Pronouns: she/her ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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PhD position on electrical stimulation-induced changes in neuroplasticity at Inserm, Rennes, France
by Elif Köksal Dec. 1, 2021

Dec. 1, 2021

*Title*: Neuro-inspired macroscale models of electrical stimulation-induced changes in neuroplasticity *Context*. Epilepsy refers to a neurological disorder that affects about 1% of the general population. Recent findings indicate that non-invasive brain transcranial current stimulation (tCS) is safe and of therapeutic promise in epilepsy. However, it is not yet indicated as a standard treatment due to major scientific limitations: unknown mechanisms of action, insufficient account for patient-specific factors, poor understanding of short- and long-term effects. The ambition of the GALVANI Project (ERC-SyG 2019; 2020-26) is to transform the care of a large fraction of patients living with drug-resistant epilepsies by solving a fundamental problem: to efficiently target and control large-scale epileptic brain networks with tCS-induced neuromodulatory weak electric fields ( https://www.galvani-lab.eu/) *Rationale*. Neuroplasticity refers to a wide ensemble of brain changes at cellular and network level that result from learning, practice, environmental influences, etc. In the normal brain, neuroplasticity is physiological process that allows for acquisition of new competences for instance. In the epileptic brain, neuroplasticity is a pathological process which alters the balance between excitation and inhibition giving rise to epileptic seizures. Neuroplastic changes may occur at different time scales (short and long) and may potentiate or, on the opposite, depress neuronal activity generated by brain circuits. Electrical stimulation (supra-threshold) and neuromodulation (sub-threshold) are two different methods that can be used to alter brain plasticity in order to lower hyperexcitability and subsequently decrease the occurrence of epileptiform events. *Objective*. This research focuses on neuromodulation. The objective of the proposed PhD position is to design neuroinspired macroscale models that will account for immediate (acute) and lasting (short- or long-term) effects of neuromodulatory weak electric fields, which remain elusive to some extent. *Methods*. After deep bibliographic review, biomathematical models to be developed will combine neurophysiological models of neuronal populations with mechanisms of action induced by weak electric fields on neuronal assemblies, typically on synaptic connectivity and firing rates. They will provide a unique framework to clarify and optimize the effects of dynamic E-fields induced by stimulation. They will be based on already-existing macroscale computational models which allow for simulation of epileptic activity (interictal spikes, ictal activity) generated by large-scale networks, as observed in human epilepsies. An issue to be solved is the translation from stimulation-induced short- and long-term effects at cellular level into average effects at population level. Optimization methods will be developed for identifying “therapeutic” neuromodulation parameters. Models will use the Neural Mass Model formalism (NMMs). They will be developed in Python. They will extend already-existing models at neural mass level. Strong background is available ( https://perso.univ-rennes1.fr/fabrice.wendling/) *Scientific domains*. Engineering (computational, biomedical); Physics (biophysics, electromagnetism); Biology (neuroscience); Medicine (neurology); Computer Science (computing in maths, engineering and Medicine) Scientific environment. GALVANI involves three partners: LTSI-Inserm (Rennes), AMU-APHM (Marseille) and Neuroelectrics (Barcelona). It is intended to develop the next generation of brain stimulation solutions. GALVANI can be viewed as a distributed lab (Rennes-Barcelona-Marseille) working under a common policy to ensure coherence of research and intense collaboration and cross-fertilization. Fellows will be co-supervised in a unique, shared environment with exposure to science, technology and clinical experience. *Candidate profile*. The research project is at the interface between biomathematics (neuro-inspired models), biophysics (electric field models), and neuroscience/neurology (epilepsy). The candidate will preferably have some background in dynamical systems, computational neuroscience/systems biology or in electrical engineering with experience in bio-signal processing and in biophysics. Knowledge in electrophysiology and/or EEG analysis would be an asset. The PhD fellow will join a multidisciplinary team including research scientists in biomedical engineering, neurophysiological modeling, bio-physics, signal processing, electrophysiology, neurology. *Contract*. The position will be opened* Feb. 1st, 2022*. The contract is for 3 years with possible extension (3 months). The salary will be defined according to Inserm rules regarding doctoral student remuneration. Location in the city of Rennes, France. LTSI-Inserm laboratory, University of Rennes. In addition, the PhD fellow will have the opportunity to perform visits and to actively collaborate with engineers, researchers and clinicians of the Marseille & Barcelona groups. *Contact *(please provide resume and cover letter) Fabrice Wendling (DR Inserm, LTSI, France) Email: fabrice.wendling(a)inserm.fr Pascal Benquet (Professeur, LTSI, France) Email: pascal.benquet(a)univ-rennes1.fr Elif Koksal-Ersoz (Post-doc fellow, LTSI, France) Email: elif.koksal-ersoz(a)inserm.fr

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Postdoc / Junior Scientist positions in Prague, Czech Republic
by Magda Pokorna Dec. 1, 2021

Dec. 1, 2021

**1. Postdoctoral / Junior Scientist position in complex networks and information theory** is available to join the Complex Networks and Brain Dynamics group <http://cobra.cs.cas.cz/> for the project: “Network modelling of complex systems: from correlation graphs to information hypergraphs“ funded by the Czech Science Foundation. More information and application at https://www.cs.cas.cz/job-offer/postdoc-junior-position-Hlinka5-2021/en** 2. Postdoctoral / Junior Scientist position in Multimodal Neuroimaging Machine Learning** is available to join the Complex Networks and Brain Dynamics group <http://cobra.cs.cas.cz/> for the project: “Predicting functional outcome in schizophrenia from multimodal neuroimaging and clinical data“ funded by the Czech Health Research Council. More information and application at https://www.cs.cas.cz/job-offer/postdoc-junior-position-Hlinka6-2021/en ** ****** Do not hesitate to contact the principal investigator for informal inquiries concerning the position: Ing. Mgr. Jaroslav Hlinka, Ph.D., hlinka(a)cs.cas.cz. Jaroslav Hlinka Head of the Department of Complex Systems Institute of Computer Science Czech Academy of Sciences Pod Vodarenskou vezi 2 Prague 8, 182 07, Czech Republic Web: http://cs.cas.cz/hlinka

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3rd BCI-UC: Submission closes on Friday, December 3rd
by Philipp Raggam Nov. 30, 2021

Nov. 30, 2021

Dear Colleagues, The *abstract submission* for the 3rd Brain-Computer Interface Un-Conference (BCI-UC) *closes on Friday, December 3rd*, *at 11:59 pm (CET)* and the *voting period on submitted abstracts begins on Monday, December 6th* [1]. Abstract submissions are text-only. The length and format of the submissions are up to the authors - use whatever format you consider best for attracting up-votes! Important dates: - *Submission deadline: *December 3rd, 2021 at 11:59 pm (CET) - *Voting period:* December 6th, 2021 - December 12th, 2021 at 11:59 pm (CET) - *BCI-UC event:* January 27th, 2022, from 03:00 pm to 09:00 pm (CET) We will invite the *authors of the top-voted abstracts to present* at the un-conference. The 3rd BCI-UC will feature *keynotes* by *Cynthia Chestek* (University of Michigan) [2] and *Thorsten Zander* (TU Brandenburg) [3]. BCI-UC is an online un-conference that provides rapid dissemination of novel research results in the BCI community. Participants can *submit abstracts* to apply for *20 minutes presentation* slots. Abstracts are not reviewed by a program committee. Rather, all registered participants can vote on which of the submitted abstracts they would like to see presented at the un-conference. Because the BCI-UC does not publish conference proceedings, submitted abstracts can report novel as well as already published work. *Registration and attendance are free of charge*. Presentations of the 1st and 2nd BCI-UC can be re-watched at [4] and [5]. *All presentations will be streamed via Crowdcast* [6] and can be accessed free of charge. Join us in supporting this novel community-driven dissemination of research results! The BCI-UC committee: Moritz Grosse-Wentrup Anja Meunier Philipp Raggam Jiachen Xu Links: [1] https://bciunconference.univie.ac.at/3rd-bci-uc/ [2] https://scholar.google.com/citations?user=36sxAZEAAAAJ&hl=de [3] https://scholar.google.com/citations?hl=en&user=0E49HxYAAAAJ [4] https://bciunconference.univie.ac.at/past-events/1st-bci-uc/ [5] https://bciunconference.univie.ac.at/past-events/2nd-bci-uc/ [6] https://www.crowdcast.io/ -- DI Philipp Raggam, BSc Research Group Neuroinformatics Faculty of Computer Science University of Vienna Hörlgasse 6, A-1090 Wien, Austria

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Support open neuroscience this Giving Tuesday
by Heather Topple Nov. 30, 2021

Nov. 30, 2021

[image: Giving Tuesday.png] Support INCF’s mission to push global neuroscience further and faster Scientific progress is critical for providing our global community with cures and treatments for illnesses that cause pain and disability in so many lives. Neurological diseases are the leading cause of disability and the second leading cause of death worldwide, and mental health issues are increasing every year. While neuroscience has made significant progress in the last couple of decades, there is still much to do. A major barrier is that neuroscience is time-consuming and expensive. One way to remedy this is through the reuse and pooling of data and sharing of tools, which speeds discovery and increases sensitivity to the subtleties of brain function and disease. INCF facilitates this process by endorsing practical approaches and solutions for the application of open, FAIR, and citable neuroscience, and ensures impact through advocacy and efforts in training the next generation of neuroscientists in FAIR research management approaches. You can support our efforts by making a direct donation, or by sponsoring a membership for a student or colleague. Your gift will enable us to support open science for the global neuroscience community! *DONATE <https://incf.org/donate>* [image: GivingTuesday logo.png] ---------------------------- Heather Topple, BSc *Project Assistant* *Development and Communications* International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels väg 15A, SE-171 77 Stockholm. Sweden <https://www.google.com/maps/search/Nobels+v%C3%A4g+15A,+SE-171+77+Stockholm…> Email: heather(a)incf.org Phone: +46 085 248 70 65 incf.org neuroinformatics.incf.org

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Apply Now: Shanahan Foundation Fellowship at the Allen/UW at the Interface of Data and Neuroscience
by Adrienne L Fairhall Nov. 29, 2021

Nov. 29, 2021

***Please forward** particularly to data scientists with a Ph.D. in quantitative fields such as computer science, statistics, electrical engineering, physics, mathematics* Shanahan Foundation Fellowship at the Interface of Data and Neuroscience Overview The *Shanahan Foundation Fellowship at the Interface of Data and Neuroscience* is a three-year fellowship program that aims to: · Integrate data scientists in neuroscience research · Challenge traditional approaches to neuroscience · Provide multidisciplinary, multi-organizational co-mentorship · Provide a network and community · Support career development in data science The fellowship is co-hosted by the Allen Institute and the University of Washington (through the eScience Institute and the Computational Neuroscience Center) and is directed by Dr. Christof Koch at the Allen Institute. *Neuroscience needs data scientists.* The brain represents one of the most complex challenges facing science today. And now with advances in our methods to study the brain—Neuropixel probes that can record from 1000 neurons at once, growing consensus on data standards across laboratories—the field is flooded with data that needs interpretation. The skills of data scientists are essential to springboard the field to the next stage of discoveries. Towards that end, the Shanahan Foundation Fellowship was created to bring fresh perspectives into the field, encouraging data scientists from outside neuroscience to come and work with leading investigators at the Allen Institute and UW. The Allen Institute is unique in its infrastructure and pipeline that enables the production of standardized, reproducible data on the brain (as evidenced by our vast *data banks* <http://www.brain-map.org/>*)*. Together with our collaborators at the UW computational Neuroscience Center and eScience Institute, we provide data scientists with the ideal opportunity and resources to mine for novel insights and discoveries. Details *You do not need experience in neuroscience to apply. *The goal of the fellowship is to provide opportunities to non-traditional applicants who would not typically be funded by the typical postdoctoral fellowships in neuroscience. The fellowship has been purposefully designed to give fellows the time and mentorship to get up to speed in a new field and new data collection techniques and methods*.* Fellows will be employed by the Allen Institute as either a Scientist I or a Scientist II (with a matching salary) and will receive an affiliate postdoctoral appointment at UW. During the three-year fellowship, fellows will identify a mentor at the Allen Institute, where the fellows will be based. Fellows will select a co-mentor at the University of Washington who will provide additional guidance on a project designed by the fellow, focused on quantitative analysis of neuroscience data available through the Allen Institute’s vast data banks <http://www.brain-map.org/> – ranging from molecular, genomic, transcriptional, physiological, morphological, anatomical and functional whole-brain level in the brains of mice, non-human primates and humans – or through ongoing laboratory work. Each fellow will have the opportunity to mentor a fully-funded UW undergraduate or postbaccalaureate research assistant who helps with their research for 3-12 months. Fellows will participate in the postdoctoral career development program at the University’s *e-Science Institute* and the *UW Computational Neuroscience Center*. The eSciences Institute offers regular workshops on key topics including cloud computing, python and reproducibility. New fellows will attend the annual Summer Workshop on the Dynamic Brain <https://alleninstitute.org/what-we-do/brain-science/events-training/summer-…> where they will learn how to apply data science skills to neuroscience data and questions. Throughout the three years, fellows will be supported in developing a network in the neuroscience field and sharing their progress with peers at conferences. Up to three fellows will be selected to begin in Fall 2022. Eligibility Requirements Applicants must be data scientists in a broad sense, with a Ph.D. in a quantitative field such as computer science, statistics, electrical engineering, physics, mathematics or biology with a background in statistical, computational and machine learning methods. Ph.D.’s should have been awarded in the last 3 years. One goal of the fellowship is to build a network of collaborators, as such, priority will be given to applicants who are not currently postdoctoral fellows or scientists at the University of Washington or the Allen Institute. We believe high-quality science can only be produced when it includes different perspectives. We are building an environment of diversity and inclusion and encourage people from all backgrounds to apply for this fellowship. Application Instructions For full consideration, please submit your application by February 1, 2022. Applications may continue to be considered after this deadline on a rolling basis until positions are filled. Learn more and apply on the Shanahan Fellowship Website <https://alleninstitute.org/what-we-do/brain-science/careers/shanahan-founda…> . Applications must include: · A curriculum vitae from the applicant · Two letters of support from advisors and other mentors · A one-page personal statement from the applicant describing their history, activities, and interests as an individual (especially those outside of science) which may give the committee a greater sense of you as a person and your ability to simultaneously interact with and challenge traditional scientific fields. · A two- to three-page research statement from the applicant describing their prior research, interests in applying data science to the field of neuroscience, potential research interests (including tools they are familiar with) and how this fellowship aligns with their career goals. · The choice of the final advisor/co-advisor will be accomplished during the first year of this fellowship. Questions? Email: shanahan.fellow(a)alleninstitute.org -- Sarah A. Stone, PhD Executive Director | eScience Institute Campus Box 351570 University of Washington Seattle, WA 98195 _______________________________________________ Escience_bbl mailing list Escience_bbl(a)u.washington.edu http://mailman12.u.washington.edu/mailman/listinfo/escience_bbl

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Software Engineer position for International Brain Laboratory
by Hannah M Bayer Nov. 29, 2021

Nov. 29, 2021

The International Brain Laboratory SOFTWARE ENGINEER <https://academic.careers.columbia.edu/#/85586> will work closely with our scientists to develop and deploy software and electronic hardware for experiment control, collection, storage, and data analysis. The experiments make use of complex control systems including video, audio, and fluidics, the data are processed by sophisticated algorithms including GPU-based deep networks, and then transferred automatically to a central database. The successful candidate will interface with scientists in our member laboratories (located in London, Lisbon, Geneva, Paris, New York City, Long Island, Princeton, San Francisco, and Ashburn VA) and with the core software development team based in Lisbon, to support experiments and ensure data is of high quality. The ideal candidate would have extensive experience with Linux, Python, Arduino systems, electronics, team programming, quality assurance, web design, and system administration. A flexible attitude, the ability to quickly adapt to new situations and learn new systems, and to work independently as part of a geographically distributed team, are essential. Experience with scientific research, networking, parallel computing, or relational databases would also be desirable. As this is a distributed collaboration, the candidate should be prepared to travel to all partner sites, with a home base in Lisbon, London or New York. RESPONSIBILITIES: - To develop and support software and hardware to collect and analyse neurophysiology recordings at worldwide partner sites - To help apply these algorithms to petabyte-scale data, to draw scientific conclusions about brain function. - To support the use of the resulting algorithms and software by laboratory members and by the worldwide scientific community. - To write online documentation and help author scientific publications describing the algorithms and discoveries made with them. Any questions prior to applying, please contact info(a)internationalbrainlab.org To apply: https://academic.careers.columbia.edu/#/85586 -- Hannah M. Bayer, PhD Executive Director International Brain Laboratory

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SCGB Virtual Postdoc/Student Meeting: Wednesday, December 1 by Olivia Gozel
by Laura Long Nov. 29, 2021

Nov. 29, 2021

The Simons Collaboration on the Global Brain (SCGB) hosts postdoc/student meetings to bring together trainees interested in neural coding and dynamics to discuss ideas and data. In addition to regional meetings in New York, Boston, and the Bay Area, SCGB holds a virtual series to connect systems and computational neuroscientists independent of geography. We would love to see you at our next meeting! Please see event details and the Zoom link below. SCGB Virtual Postdoc/Student Meeting: https://www.eventbrite.com/e/scgb-global-postdocstudent-meeting-tickets-209… Wednesday, December 1st, 12pm Eastern Time https://simonsfoundation.zoom.us/j/94767192583?pwd=TXBKNXJQYzdGTmRUZTFlUUYz… Passcode: 429535 *Olivia Gozel* Postdoctoral Researcher, Doiron Laboratory The University of Chicago *Between-area communication through the lens of within-area neuronal dynamics* Neuronal dynamics range from asynchronous spiking to richly patterned spatio-temporal activity and are modulated by external and internal sources. Numerous experimental datasets show that the shared variability can be well described by a small number of latent variables, indicating coordinated trial-to-trial fluctuations within the population. Besides, cortical areas are connected through long-range excitatory projections, and it has been shown that there exists a communication subspace between connected but distinct brain areas that predicts spiking activity in a downstream area using upstream activity. However, little is known about the effect of neuronal dynamics on interactions between brain areas. Using a layered spiking network with within- and between-layer spatially structured connectivity, we show that pattern formation decreases within-area dimensionality similarly when spatio-temporal patterns emerge within a population or when they are inherited from a connected population. Yet, the fidelity of communication from an upstream to a downstream area, as estimated by a linear reduced-rank regression measure, is affected by the origin of pattern formation. Specifically, downstream activity is poorly predicted by upstream activity when spatio-temporal patterns emerge downstream, while it is particularly well predicted when shared fluctuations are mostly inherited from the upstream area. Interestingly, examination of spiking activity reveals that, even in the scenario with apparent disrupted communication, the downstream area is effectively driven by upstream activity, as expected from the strong feedforward connection strengths between layers. A mismatch in within-area dimensionality between upstream and downstream areas appears to underlie the seemingly weak communication. These results expose the limitations of linear measures when analyzing the flow of information in brain circuits with diverse neuronal dynamics. *Please note that this meeting is open to all neuroscience postdocs and PhD students, regardless of location or SCGB affiliation (sorry, no PIs). *After Q&A with the speaker, we will open breakout rooms for anyone interested in staying to chat, network, or further discuss the talk. In addition to these breakouts, SCGB Scientific Staff will be available for "office hours" to chat and answer questions about SCGB programs and support. Registration on EventBrite is encouraged but not required: https://www.eventbrite.com/e/scgb-global-postdocstudent-meeting-tickets-209… Please contact Laura Long at llong(a)simonsfoundation.org with any questions.

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Post-doctoral position advertisement
by Zaghloul, Kareem (NIH/NINDS) [E] Nov. 29, 2021

Nov. 29, 2021

Hi, I would like to post the following ad to the comp-neuro listserv. Would this be possible? I've attached a copy of the ad below. Thank you, Kareem Kareem A. Zaghloul, MD, PhD Surgical Neurology Branch National Institute of Neurological Disorders and Stroke, NIH Bldg 10, Rm. 3D20 10 Center Drive Bethesda, MD 20892-1414 O: 301-594-8114 F: 301-402-0380 Position Type Postdoctoral Position at the NIH Position Title Human memory and sequences of single unit spiking activity Position Description The National Institute of Neurological Disorders and Stroke is seeking a full-time post-doctoral position focused on understanding the neural correlates of human memory. This position involves studies focused on analyzing recordings of population spiking activity captured from the human cortex in awake participants with drug resistant epilepsy who are receiving intracranial EEG (iEEG) electrodes to monitor seizure activity. Single unit spiking activity from populations of neurons are captured through implanted microelectrode arrays. Post-doctoral fellows will join a laboratory aimed at understanding the neural mechanisms that underlie human episodic memory formation and decision making. We are specifically seeking a candidate who has a strong interest in understanding neural coding as represented by sequences of single unit spiking activity in the human cortex. We are seeking candidates that are highly creative, motivated, and independent with a Ph.D. in neuroscience, biomedical engineering, or a related field. Candidates must have a strong research background, with a record of relevant publications. Candidates will be encouraged and expected to participate in independent laboratory research, and will be expected to write scholarly manuscripts. Candidates must be able to lead and work well in a team. Candidates should have strong computational, quantitative, and/or engineering skills, with proficiency in developing custom code (Matlab, Python, etc.) for data analysis preferred. Past medical research is not required, but candidates must be willing to perform experiments in a clinical setting. Candidates will interact with clinical staff, graduate students, research fellows, and must have excellent spoken and written English skills. Applicants should submit a brief statement of research activities and interests, a current CV, and names and contact information of at least three references. Salary will be commensurate with experience and accomplishments. To arrange a meeting with the PI and to send materials required for consideration for this appointment please contact Dr. Zaghloul at: zaghloulka(a)mail.nih.gov<mailto:zaghloulka@mail.nih.gov>. Employer Name Kareem A. Zaghloul, National Institute of Neurological Disorders and Stroke Position Location Bethesda, MD Disclaimer NIH, an agency of DHHS, is an equal opportunity employer. All employees are subject to background investigation. The NIH is dedicated to building a diverse community in its training and employment programs.

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Postdoctoral Researcher position at University of Göttingen, CIDBN, SPP 2205
by von Behren, Christina Nov. 29, 2021

Nov. 29, 2021

Dear list, We would like to draw your attention to a postdoc opportunity at the Göttingen Campus Institute for Dynamics of Biological Networks (CIDBN), University of Göttingen: The Department of Data-driven Analysis of Biological Networks at the Georg-August-Universität Göttingen invites applications for a position as Postdoctoral Researcher (f/m/d) This position is available starting from January 1st, 2022. It is a fulltime position and is fixed until 31.03.2024. Salary and working hours will be according to the German grade 13 TV-L (100%, currently 39.48 hours per week). The position will be associated with the group of Prof. Dr. Michael Wibral. We are recruiting a Postdoc for the interdisciplinary research project "Evolutionary Convergence of Hierarchical Information Processing" funded by the German Research Foundation (DFG) within the research initiative SPP 2205 "Evolutionary optimization of neuronal processing"<https://www.uni-goettingen.de/de/618311.html>. The project aims to establish the common information theoretic principles of computation in hierarchical neural systems that are conserved across species from drosophila, via rodents to primates and humans. We are looking for candidates with an excellent PhD/Master's Degree in neuroscience, cognitive science, physics, computer science or a related field who are committed to pursuing a career in research. The successful applicant will develop and apply novel information theoretic measures to electrophysiological neural recordings and calcium imaging signals to investigate signatures of predictive hierarchical information processing. The ideal candidate should have excellent skills in scientific writing, experience with the application of information theory to biological data, and should have demonstrated her/his ability to work independently. Prior experience with predictive coding theory and experiments are plus. Proven coding skills in a language relevant to data analysis (e.g. Python, Julia, R, Scala, Java), prior experience with research-data management systems (RDMS) are also considered as an advantage. We offer the opportunity to become a member of a vibrant community dedicated to innovative research and teaching at the frontier of the exact and biological sciences, and to connect to the latest developments in information theory, including partial information decompositions. The Göttingen Campus is a leading center of biophysics and neuroscience in Europe hosting numerous internationally renowned research institutions, including the University and its Medical Center, the three life science Max Planck Institutes, the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience (BCCN) Göttingen. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference. Please submit your application in digital form only and send all relevant documents in one single PDF-document, including a letter of interest, your curriculum vitae with a list of publications, copies of your certificates and contact information of at least two references to Wibral_lab(a)uni-goettingen.de by December 13, 2021. If you have any questions, please contact Prof. Dr. Michael Wibral via e-mail: michael.wibral(a)uni-goettingen.de. [cid:image003.png@01D7E52F.C6D6F9C0] Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Hinweisblatt zur Datenschutzgrundverordnung (DSGVO) https://www.uni-goettingen.de/hinweisdsgvo Best Regards, Christina von Behren ------ Goettingen Campus Institute for Dynamics of Biological Networks Bernstein Centre for Computational Neuroscience Goettingen Heinrich-Düker-Weg 12 37073 Goettingen Germany Tel.: +49-(0)551-39-26674

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Postdoc vacancy in A-eye (AI, eye, MRI) at CHUV - Lausanne, Switzerland
by Benedetta Franceschiello Nov. 29, 2021

Nov. 29, 2021

Dear Colleagues, Dr. Meritxell Bach Cuadra and I are looking for a postdoctoral researcher interested in the field of large-scale analysis of eye MRI (MReye) data with AI. Please find here attached the call and the link for postulating: https://recrutement.chuv.ch/vacancy/post-doctoral-position-on-deep-learning… Informal inquiries are welcome. Thank you very much, Kind regards, -- Benedetta Franceschiello, Ph.D. Research Scientist CIBM Center for Biomedical Imaging, EEG CHUV-UNIL Section LINE, Laboratory for Investigative Neurophysiology <https://www.unil.ch/line/en/home.html> Radiology Department, Lausanne University Hospital (CHUV) and University of Lausanne Tel: +41 787409774 Rue Centrale 7, CH-1003, Lausanne, Switzerland https://sites.google.com/view/benedettafranceschiello-phd/ I work flexibly - so whilst it suits me to email now, I do not expect a response or action outside of your own working hours.

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Positions in modeling at the Allen Institute
by Anton Arkhipov Nov. 29, 2021

Nov. 29, 2021

Dear colleagues, We are hiring for multiple positions in bio-realistic modeling at the Allen Institute. Please apply soon! For example, see this Scientist position: https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=1770679<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Falleninst…> If you don’t have a PhD (perhaps just finishing a BS or MS degree?), we would love to hear from you too. Please contact me at antona(a)alleninstitute.org<mailto:antona@alleninstitute.org>. We are developing biologically realistic models of cortical circuits in the mouse brain at the level of a cortical area and the whole cortex. In collaboration with the group of Dr. Li-Huei Tsai at MIT, we investigate the cell type and circuit mechanisms of neuronal entrainment to periodic sensory stimulation at different frequencies. The project leverages the Allen Institute’s unique multi-modal data: https://portal.brain-map.org. Additional relevant resources and publications: * https://portal.brain-map.org/explore/models/mv1-all-layers<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fportal.br…> * https://portal.brain-map.org/explore/connectivity<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fportal.br…> * Iaccarino et al., Nature (2016); Adaikkan et al., Neuron (2019); Martorell et al., Cell (2019) The Allen Institute believes that team science significantly benefits from the participation of diverse voices, experiences and backgrounds. High-quality science can only be produced when it includes different perspectives. We are committed to increasing diversity across every team and encourage people from all backgrounds to apply for these roles. Best wishes, Anton. Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> alleninstitute.org<https://alleninstitute.org> brain-map.org

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Post-doc: biologically accurate computational models of thalamocortical circuitry
by Sean Hill Nov. 25, 2021

Nov. 25, 2021

Are you Interested in thalamocortical circuitry and its functions? We are seeking an outstanding candidate for a fully-funded post-doctoral position at Blue Brain, EPFL - in Geneva, Switzerland - to develop biologically-accurate computational models of thalamocortical circuitry. Please follow the link for more details and to apply: https://recruiting.epfl.ch/Vacancies/1755/Description/2 CONFIDENTIALITY NOTICE: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message. AVIS DE CONFIDENTIALITÉ : Ce message électronique, ainsi que tout fichier qui y est joint, est reserve à l'usage exclusif du destinataire visé et peut contenir des renseignements confidentiels et privilégiés. Toute lecture, utilisation, divulgation ou distribution non autorisée est interdite. Si vous n'êtes pas le destinataire visé, veuillez en aviser l'expéditeur par retour de courriel et détruire toutes les copies du message original.

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Computational neuroscience graduate/postdoc positions at UMD
by Daniel A. Butts Nov. 25, 2021

Nov. 25, 2021

The NeuroTheory Lab at University of Maryland (College Park) is recruiting graduate students and postdocs to work at the interface of systems-level neurophysiology and machine learning. The goal of our research is to understand how sensory neurons contribute to perception and behavior. Our premise is that such understanding necessarily involves interpreting large-scale recordings in sufficiently complex (“natural”) experimental contexts. We specialize in statistical modeling, which can directly test hypotheses about neural computations and their mechanistic underpinnings using large-scale neurophysiological recordings, in close collaboration with experimental labs. Information about current projects, as well as our recent work, can be found at: neurotheoryumd.github.io <http://neurotheoryumd.github.io/> We are interested in exceptional and highly motivated individuals with a quantitative background in physics, mathematics, engineering, or computer science. Applicants must also have working knowledge of systems/computational neuroscience, and be interested in pursuing this field. We encourage applications from members of under-represented groups. Our lab is set in the Biology Department in the spacious College Park campus in suburban Washington DC (accessible by metro), and also nearby to several collaborators at NIH. There are several graduate programs that we are affiliated with (primarily nacs.umd.edu <http://nacs.umd.edu/>) that have an application deadline of December 1. Please contact me if you are interested in applying to the lab as a graduate student or postdoc, with a CV and brief description of your interests and how they align. Dan Butts Associate Professor Department of Biology University of Maryland, College Park

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Doctoral position on causal inference and explainable AI at the University of Vienna
by Moritz Grosse-Wentrup Nov. 25, 2021

Nov. 25, 2021

We have an opening for a doctoral position in the Neuroinformatics Group at the University of Vienna (https://ni.cs.univie.ac.at/) The project's goal is to develop causal inference methods that generate human-interpretable concepts for explainable AI. These methods will be applied in close collaboration with other group members to study the link between neuronal activity and cognition in artificial and biological intelligent systems. We are looking for an intrinsically motivated student with a Master (or equivalent) degree in Computer Science, Neural Engineering, Electrical Engineering, Mathematics, Physics, or a related field. We expect strong competencies in machine learning and programming, as well as a passion for interdisciplinary research in general and learning about the brain in particular. The ability to speak German would be beneficial but is not required. Employment is according to the collective bargaining agreement §48 VwGr. B1 Grundstufe (praedoc, 75%), see http://personalwesen.univie.ac.at/en/jobs-recruiting/job-center/salary-sche… The duration of employment is three years and can be extended to a maximum of four years. The initial contract will be limited to 1.5 years and automatically renewed for another 1.5 years at the end of the 12-month probation period. Job duties involve research as well as teaching (in English or German). The Neuroinformatics Group is part of the Faculty of Computer Science at the University of Vienna, the oldest and largest public research university in the German-speaking world (https://en.wikipedia.org/wiki/University_of_Vienna) Research in our group focuses on two topics: Causal inference for bridging the gap between neuronal activity and cognition and AI/ML algorithms for brain-computer interfacing. Our offices are located in downtown Vienna, a city that has been repeatedly ranked as having the world's highest quality of living. We strive to be a diverse research group and particularly welcome (and, given equal qualifications, give preference to) applications from groups currently underrepresented in academia! To apply, please set up an account (https://zid.univie.ac.at/en/setting-up-a-uaccount/) and submit the following documents via https://servicedesk.univie.ac.at/plugins/servlet/desk/portal/89/create/1277: * Letter of motivation (~one page) * CV * Abstract of Master thesis * Degree certificates * Contact information of two referees * List of publications and evidence of teaching experience (if any) The application deadline is the 13th of December, 2021. Please choose reference number "#06 PC2: Neuroinformatics, Prof. Grosse-Wentrup" when submitting your application. Because there are two separate projects linked to this call, please indicate in your motivation letter whether you are applying to the BCI or the causal inference project. If you have any questions prior to applying, please feel free to contact me via moritz.grosse-wentrup(a)univie.ac.at. Best, Moritz Grosse-Wentrup -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna Hörlgasse 6, A-1090 Wien, Austria moritz.grosse-wentrup(a)univie.ac.at +43-1-4277-79610 http://neural.engineering/

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Doctoral position on AI / ML algorithms for invasive brain-computer interfacing at the University of Vienna
by Moritz Grosse-Wentrup Nov. 25, 2021

Nov. 25, 2021

We have an opening for a doctoral position to develop artificial intelligence / machine learning algorithms for invasive brain-computer interfacing (BCI) in the Neuroinformatics Group at the University of Vienna (https://ni.cs.univie.ac.at/) The project's goal is to develop a language BCI based on invasive, single-cell recordings in a human subject. The project will be carried out in close collaboration with Simon Jacob at the Technical University Munich (http://simonjacob.de/) We are looking for an intrinsically motivated student with a Master's (or equivalent) degree in Computer Science, Neural Engineering, Electrical Engineering, Mathematics, Physics, or a related field. We expect strong competencies in machine learning and programming, as well as a passion for interdisciplinary research in general and learning about the brain in particular. The ability to speak German would be beneficial but is not required. Employment is according to the collective bargaining agreement §48 VwGr. B1 Grundstufe (praedoc, 75%), see http://personalwesen.univie.ac.at/en/jobs-recruiting/job-center/salary-sche… The duration of employment is three years and can be extended to a maximum of four years. The initial contract will be limited to 1.5 years and automatically renewed for another 1.5 years at the end of the 12-month probation period. Job duties involve research as well as teaching (in English or German). The Neuroinformatics Group is part of the Faculty of Computer Science at the University of Vienna, the oldest and largest public research university in the German-speaking world (https://en.wikipedia.org/wiki/University_of_Vienna) Research in our group focuses on two topics: Causal inference for bridging the gap between neuronal activity and cognition and AI/ML algorithms for brain-computer interfacing. Our offices are located in downtown Vienna, a city that has been repeatedly ranked as having the world's highest quality of living. We strive to be a diverse research group and particularly welcome (and, given equal qualifications, give preference to) applications from groups currently underrepresented in academia. To apply, please set up an account (https://zid.univie.ac.at/en/setting-up-a-uaccount/) and submit the following documents via https://servicedesk.univie.ac.at/plugins/servlet/desk/portal/89/create/1277: * Letter of motivation (~one page) * CV * Abstract of Master thesis * Degree certificates * Contact information of two referees * List of publications and evidence of teaching experience (if any) The application deadline is the 13th of December, 2021. Please choose reference number "#06 PC2: Neuroinformatics, Prof. Grosse-Wentrup" when submitting your application. Because there are two separate projects linked to this call, please indicate in your motivation letter whether you are applying to the BCI or the causal inference project. If you have any questions prior to applying, please feel free to contact me via moritz.grosse-wentrup(a)univie.ac.at. Best, Moritz Grosse-Wentrup -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna Hörlgasse 6, A-1090 Wien, Austria moritz.grosse-wentrup(a)univie.ac.at +43-1-4277-79610 http://neural.engineering/

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Multiple Ph.D. Positions in AI and Machine Learning at Indiana University Bloomington
by Zoran Tiganj Nov. 25, 2021

Nov. 25, 2021

The Center for Machine Learning at Indiana University brings together over 10 faculty working in areas including theory, reinforcement learning, statistical learning, speech and audio processing, robotics, planning and control, medical image processing, graphical models, computational neuroscience, computer vision, case-based reasoning, and deep learning. Please visit our Center website at https://cml.luddy.indiana.edu/people/. Together we have at least 10 PhD positions available for Fall 2022 admission. Topics include: - Algorithms for ML: scalable (e.g., parallel, distributed round/communication-efficient) algorithms for reinforcement learning, online learning, clustering. - Probabilistic ML: graphical models, efficient inference algorithms, applications, and computational/statistical learning theory. - AI: probabilistic planning, unsupervised learning, memory augmentation, reinforcement learning, and the connections between planning and probabilistic inference. - Robotics: planning, decision-making, and learning methods for autonomous robotic systems, and coordination approaches for distributed multi-robot or swarm systems. - Computer Vision: object and action recognition, 3D reconstruction, egocentric computer vision, deep learning, and graphical model inference. - ML and DL for speech/music/audio processing: speech enhancement, source separation, privacy and security for speech/audio applications, speech/audio coding, music information retrieval and music signal processing For all areas ideal candidates should have demonstrable strong math and theory skills and/or excellent programming and system building skills. Background in the relevant areas listed above is of course desirable. Applicants should have received a Bachelor’s degree in computer science, engineering, statistics, or related fields. The Center brings together faculty from different departments across the university, including Computer Science, Intelligent Systems Engineering, and Statistics. Each faculty has a home department (listed on the website above) but can advise students in other departments. Please mention the faculty with whom you would like to work in your Statement of Purpose. You may apply to multiple programs. For best consideration, please submit applications by these dates: - Computer Science: Priority deadline: December 1, 2021, Second round: January 1, 2022 - Intelligent Systems Engineering: Priority deadline: December 1, 2021, Second round: January 1, 2022 - Statistical Science: Priority deadline: January 15, 2022 For detailed information about the programs and application process, please visit: https://luddy.indiana.edu/admissions/apply/graduate.html Email inquiries: - For information about the admission process or requirements, please write goluddy(a)indiana.edu - For information about the Center for Machine Learning, please contact iucml(a)indiana.edu - For information about specific positions or projects, please write to the faculty member directly.

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Readership/Principal Lectureship in Robotics and Adaptive Systems at the University of Hertfordshire
by Volker Steuber Nov. 25, 2021

Nov. 25, 2021

Readership/Principal Lectureship in Robotics and Adaptive Systems School of Physics, Engineering and Computer Science University of Hertfordshire, Hatfield, UK Closing: 6. December 2021 Applications are invited for a Reader/Principal Lectureship on emerging topics in Robotics/AI, including, but not limited to: - Robotics: embodied and/or cognitive robotics, soft robotics, adaptive or evolutionary robotic design, robot safety and ethics, sensorics and robotics, emotional/social robots, smart homes and sensors, sensor fusion, assistive robotics, human-robot interaction, agricultural robotics - Machine learning: reinforcement learning, Deep Methods, statistical methods, large scale data modelling/intelligent processing and high-performance learning algorithms - Biological and biophysical computation paradigms, systems biology, neural computation - Complex Systems: collective intelligence, adaptive, autonomous and multi-agent/robot systems, collective and swarm intelligence, social and market modelling, adaptive, evolutionary and unconventional computation #complexsystems - Mathematical Modelling: statistical modelling, information-theoretic methods, compressive sensing, intelligent data visualization, multiscale models, optimization; causality - Emerging Topics in AI: computer algebra and AI, topological methods (e.g. persistent homology), algebraic and category-theoretical methods in AI; modern topics in games and AI; quantum algorithms for AI #computeralgebra - AI and applications: financial modelling, AI and biology/physics/cognitive sciences - Foundations: fundamental questions of intelligence and computation, emergence of life/intelligence, Artificial Life #artificiallife Closing Date: 6. December 2021 To apply and for further information, please see: https://www.jobs.ac.uk/job/CKJ638/reader-principal-lecturer-in-robotics-and… Volker Steuber Professor of Computational Neuroscience Biocomputation Research Group School of Physics, Engineering and Computer Science University of Hertfordshire College Lane, Hatfield, AL10 9AB, UK +44 (0)1707 284350 biocomputation.herts.ac.uk<http://biocomputation.herts.ac.uk>

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Postdoc at the University of Leicester to work on human single cell recordings
by Quian Quiroga, Rodrigo (Prof.) Nov. 23, 2021

Nov. 23, 2021

The Centre for Systems Neuroscience at the University of Leicester, UK, offers a 3-years postdoc position to study single cell recordings in humans – performed in epileptic patients for curative surgery. The project will investigate concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons in the hippocampus and surrounding areas that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga Nature Reviews Neuroscience 2012), which are involved in declarative memory functions. For more details see: www.le.ac.uk/csn The successful candidate will contribute to performing recordings with patients in collaborating hospitals and the analysis of the data to investigate the role of these neurons in memory. He/She should have very good quantitative skills (data processing, and programing e.g. in Matlab) and a strong background or interest in neuroscience. He/She should be able to work both independently and as part of a research team within the Centre for System Neuroscience at Leicester and with our external collaborators. Informal enquiries are welcome and should be made to Paula Warrington, Research Centre Manager, csn(a)le.ac.uk or 0116 252 3249. To apply, please use this link: https://jobs.le.ac.uk/vacancies/1393/research-associate.html The applications should include a curriculum vitae and a brief description of their scientific interests The closing date for the applications is 21st October 2019. Cheers, Rodrigo Rodrigo Quian Quiroga Centre for Systems Neuroscience University of Leicester www.le.ac.uk/csn

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