- Comp-neuro - lists.cnsorg.org

[jobs] Postdoc and internship position at AI Lab, Novaquark, Montreal (possibility for remote work)
by Pierre-Yves Oudeyer Nov. 26, 2020

Nov. 26, 2020

Novaquark AI Lab, Postdoc or PhD-level internship open position Title: Intention modeling and joint attention for deep reinforcement learning agents interacting with non-expert caretakers Supervision: Jean-Christophe Baillie Team: Novaquark AI Lab, Montréal Duration: 12-36 months for postdocs, 6 months for PhD-level internships, starting early 2021. Location: in Montréal Lab, or in remote. Keywords: Deep reinforcement learning; language grounding; artificial curiosity; developmental AI; joint attention Details: https://drive.google.com/file/d/1kJl851ciJj9lOU0gZ66zjkiMRLgvSgNZ/view <https://drive.google.com/file/d/1kJl851ciJj9lOU0gZ66zjkiMRLgvSgNZ/view> How to apply: contact ailab(a)novaquark.com with a CV and letter of motivation.

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NEUROTECH Webinar: What are the hardware opportunities for neuromorphic engineering?
by Elisa Donati Nov. 25, 2020

Nov. 25, 2020

We are back with the second NEUROTECH educational webinar on Neuromorphic Computing Technologies! We will have one hour of educational material followed by a panel discussion on the open challenges in the field. Please see below the details and please spread the word! ----- At the second webinar, Prof. Johannes Schemmel, Prof. Jennifer Olson Hasler, Dr. Elisa Vianello and Dr. Bert Jan Offrein will be answering the question “What are the hardware opportunities for neuromorphic engineering?”. Join us on the 1st of December at 16:00 CET. Sign up here for free: https://neurotech.iniforum.ch/educational/ <https://neurotech.iniforum.ch/educational/> ------------------------------------------------------------------------ About NEUROTECH: Our mission is to catalyse research and collaboration in NCT. Today's neuromorphic community in Europe is leading the state of the art in this domain. The community counts an increasing number of labs that work on theory, modelling, and implementation of neuromorphic computing systems. The NEUROTECH Project will create a Cartography of NCT in Europe, explore Roadmaps for its development, collect educational and information resources on NCT, and inform about upcoming and previous events. https://neurotech.iniforum.ch <https://neurotech.iniforum.ch/> NEUROTECH Educational Webinar: As part of the NEUROTECH project, the Educational Team is organizing a webinar series on neuromorphic computing technologies. The objective is to collect educational material about the field but also hold discussions with the experts about how the field started, how it evolved, where it’s going and how it’s going to shape the future industrial landscape. Follow us on LinkedIn: NEUROTECHAI and Twitter: JoinNeurotech ————————————————————————— Elisa Donati, PhD Research Fellow Institute of Neuroinformatics University of Zurich and ETH Zurich Winterthurerstrasse 190, 8057 Zurich E-mail: elisa(a)ini.uzh.ch, eldonati(a)ethz.ch Phone: +41 0446353061 Website: www.ini.uzh.ch/people/elisa

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Open positions in Computational Neuroscience and ML (Denmark / UK)
by Diego Vidaurre Nov. 25, 2020

Nov. 25, 2020

Dear all, Apologies for cross-posting. Funded by an ERC grant, I have two open postdoc positions in my lab in Aarhus University in collaboration with Oxford University, to develop new methods on machine learning and Bayesian time series modelling, with application to specific problems in computational neuroscience. The deadline is on the 30th of May. The positions are initially for 1y, but the idea is to offer longer funding, for up to 5y. https://health.au.dk/en/about-health/vacant-positions/job/postdoc-in-integr… Many thanks d

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CFP: FLAIRS 2021 Special Track Neural Nets and Datamining, May 16-19, N Miami Beach, FL
by David B Nov. 24, 2020

Nov. 24, 2020

Covid Update: FLAIRS will virtualize some or all of the conference,as necessary. FLAIRS is an interdisciplinary conference featuring a double-blind review and free tutorials, sponsored by the Association for the Advancement of Artificial Intelligence (AAAI) www.FLAIRS-34.info May 16-19, 2021 DoubleTree Ocean Point Resort & Spa, North Miami Beach, Florida, USA Paper submission deadline: February 16, 2021 This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Who might be interested? Papers and contributions are encouraged for any work related to Neural Networks and Data Mining. What kind of studies will be of interest? This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Papers and contributions are encouraged for any work related to neural networks, data mining, or the intersection thereof. Topics of interest may include (but are in no way limited to): 1. Applications such as Pattern Recognition, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Telecommunications, Power Systems, Signal Processing; Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 2. Algorithms such as new developments in Back Propagation, RBF, SVM, Deep Learning, Ensemble Methods, Kernel Approaches; hybrid approaches such as Neural Networks/Genetic Algorithms, Neural Network/Expert Systems, Causal Nets trained with Backpropagation, and Neural Network/Fuzzy LogicApplications such as Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 3. Modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches. 4. Feature extraction and selection. 5. Post-processing techniques such as visualization, summarization, or trending. 6. Preprocessing and data reduction. 7. Knowledge engineering or warehousing. Papers dealing with Cloud-based unstructured data or Cloud-based tool suites, such as Mahout or Apache Spark, are also encouraged. Track Co-Chairs: David Bisant, Central Security Svcs, bisant(a)umbc.edu Steven Gutstein, Army Research Laboratory, s.m.gutstein(a)gmail.com William Eberle, Tennessee Tech University, weberle(a)tntech.edu Submission Instructions Submitted papers must be original, and not submitted concurrently to a journal or another conference. Full oral presentation papers may be up to 6 pages, short poster presentation papers up to 4 pages, and abstract only poster presentations up to 250 words. Submissions for special tracks, workshops, tutorials, and discussion panels are also welcome. Papers must be in AAAI format, and submitted as PDF through the EasyChair conference system, which can be accessed through the main conference web site http://www.flairs-34.info/. The proceedings of FLAIRS-34 will be published by Florida Online Journals (https://journals.flvc.org/) In order for a paper to be published in the proceedings, the paper must be accompanied by at least one AUTHOR REGISTRATION. It is also expected that for a full (i.e., maximum 6-page) paper, at least one of the authors will attend the conference to present their work. In order for a poster to be presented at the conference, it must also be accompanied by an AUTHOR REGISTRATION. Organization Conference Chair: Keith Brawner, Army Research Lab, USA Roman Barták, Charles University, Czech Republic Program Co-Chairs: Eric Bell, USA Fazel Keshtkar, St John’s University, USA

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Closed-Loop Deep Learning with Robotics, NECO Vol 32, No 11
by Sama Daryanavard (PGR) Nov. 23, 2020

Nov. 23, 2020

Dear Colleagues, In our paper we present Closed-Loop Deep Learning which combines the power of deep learning and classical control to create an efficient analogue multi-layered fast learning paradigm, for robotic navigation. At the heart of this algorithm is an error signal that arises from a reflex which is delicately used to both drive the closed loop system and train the deep learner simultaneously. Through mathematical derivation in z-space we show how to implement back-propagation in a closed-loop system. Preprint: https://arxiv.org/abs/2001.02970 Neural Computation (final version): https://www.mitpressjournals.org/doi/abs/10.1162/neco_a_01317?journalCode=n… Please do not hesitate to get in touch for a copy of the paper and to discuss your thoughts. Warmest Regards, Sama Daryanavard Dr Bernd Porr Biomedical Engineering Division, School of Engineering, University of Glasgow, Glasgow G12 8QQ, U.K.

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PhD programs in computational and theoretical neuroscience at the University of Washington
by Adrienne L Fairhall Nov. 23, 2020

Nov. 23, 2020

Looking for PhD opportunities? Join the vibrant, collaborative theoretical/computational neuroscience community at University of Washington in Seattle! Research areas span the full spectrum of scales, mechanisms, and functions of the brain — from the cellular biophysics of computation to brainwide models of neural processing and cognition to next-generation brain/computer interfaces. The Computational Neuroscience Center <https://cneuro-web01.s.uw.edu>, directed by Adrienne Fairhall and Eric Shea-Brown, is a hub for research in mathematical and computational neuroscience, connecting researchers at the University of Washington across campus and to the extended neuroscience community in the Pacific Northwest including the Allen Institute <https://alleninstitute.org/what-we-do/brain-science/>. UW is home to the Center for Neurotechnology <http://www.csne-erc.org/>, a leader in BCI technologies and neuroethics, and a member of the Weill Neurohub <https://www.weillneurohub.org/>, which collaboratively links UW with researchers with the neuroscience communities at UCSF and UC Berkeley. Specialized training is available in data science through the eScience Institute <https://escience.washington.edu>. Please visit our webpage <https://cneuro-web01.s.uw.edu> to learn more about faculty research interests and our wide range of community activities. The neuroscience community at UW is interdisciplinary, and students have the freedom to work across departments. Programs of interest to students wishing to study computational neuroscience include (w/ computational faculty in bold): NEUROSCIENCE <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=76>(Deadline Nov. 30): faculty include Nick Steinmetz, Wyeth Bair, Anitha Pasupathy, Beth Buffalo, Bing Brunton, Ione Fine, David Gire, Jeff Ojemann, Adrienne Fairhall, Eric Shea-Brown, Jeff Riffell, Steve Perlmutter, Fred Rieke, John Tuthill COMPUTER SCIENCE <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=29> (Deadline Dec. 15): faculty include Raj Rao APPLIED MATH <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=3> (Deadline Dec. 15): faculty include Eric Shea-Brown, Nathan Kutz, Eli Shlizerman, Bing Brunton, and Adrienne Fairhall as well as Allen Institute affiliate faculty Michael Buice and Stefan Mihalas BIOLOGY <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=641> (Deadline December 1): faculty include Bing Brunton, David Perkel, Jeff Riffell, Tom Daniel ELECTRICAL ENGINEERING <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=213> (Deadline Dec. 15): faculty include Chet Moritz, Amy Orsborn, Azadeh Yazdan-Shahmorad, Howard Chizeck BIOENGINEERING <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=14> (Deadline Dec. 1): Faculty include Amy Orsborn, Azadeh Yazdan-Shahmorad, Jay Rubinstein PSYCHOLOGY <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=97> (Deadline Dec. 1): Faculty include Sheri Mizumori, Ariel Rokem, David Gire, Ione Fine, Geoff Boynton, Eliot Brenowitz, Andrea Stocco BIOSTATISTICS <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=177> (Deadline December 1): Faculty include Daniela Witten and Ali Shojaie PHYSICS <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=95> (Deadline Jan 5. ): faculty include Adrienne Fairhall, Fred Rieke

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IEEE WIE ILS - ITALY: virtual event on Dec 15th, 2020
by Michela Chiappalone Nov. 23, 2020

Nov. 23, 2020

Dear friends and colleagues, we would like to let you know about this *free of charge* virtual IEEE Women in Engineering (WIE) event which will be held on December 15th 4.00PM CET. We will present two case studies of leader women in STEM and we will create awareness on mental health problems, especially arising in the research community. More information, the full speaker list and registration page can be found at this link: https://wieils-italy.eu/ IEEE WIE mission is to connect and to advance women in technology at all points in their life and career. WIE periodically organizes International Leadership Summits (ILS), providing leading-edge professional development sessions focusing on leadership, innovation, technology, and entrepreneurship that aims to inspire and advance mid-level and senior technical professionals globally. The December 15th virtual event is part of IEEE WIE International Leadership Summit (ILS) that was supposed to take place this year in Genova (Italy). Due to the pandemic, the live event has been postponed to November 2021 and further notice on it will be provided in the next months. Thank you for your kind attention and looking forward to your participation! Best regards, Michela Chiappalone & Marianna Semprini, organizers IEEE WIE ILS ------------------------------------------------------------------------- Dr Michela Chiappalone, PhD Researcher Rehab Technologies IIT-INAIL Lab Phone : +39 010 71781743 E-mail : michela.chiappalone(a)iit.it<mailto:michela.chiappalone@iit.it> ISTITUTO ITALIANO DI TECNOLOGIA Via Morego 30, 16163 Genova Site: www.iit.it<https://eur02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.iit.it…>

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Tenure-Track Assistant Professor Position in Neuroscience and Behavior
by Sébastien Hélie Nov. 21, 2020

Nov. 21, 2020

Department of Psychological Sciences Tenure-Track Assistant Professor Position in Neuroscience and Behavior Date Available: August 2021 Principal Duties: Purdue University’s Department of Psychological Sciences invites applications for a tenure-track Assistant Professor position in Neuroscience and Behavior to begin in the Fall of 2021. The successful candidate will be expected to develop a program of nationally recognized research and teach undergraduate and graduate level courses. You can learn more about our department at our website: https://www.purdue.edu/hhs/psy/. Qualifications: The candidate must have a Ph.D. in psychology, neuroscience, or a related field and should have appropriate postdoctoral experience. Candidates should have a strong publication record, a research program with a high likelihood of obtaining external funding, and potential for teaching and mentoring excellence. We are particularly interested in candidates whose research is at the intersection of neuroscience and aging, but we will consider all candidates who conduct research in neuroscience, broadly defined. The College & University: The Department of Psychological Sciences is the largest Department in the College of HHS (http://www.purdue.edu/hhs/) which is the second largest college at Purdue. The department's graduate program in Neuroscience and Behavior was recently restructured to integrate research in human neuroscience within the program's traditional focus on (non-human) animal neuroscience. The Psychological Sciences faculty have strong connections with centers, institutes, and resources across campus, including the Life Science MRI Facility (https://www.purdue.edu/hhs/mri/) the Center for Research on Brain, Behavior, and NeuroRehabilitation (CEREBBRAL; https://www.purdue.edu/hhs/cerebbral/) the Purdue Institute for Integrative Neuroscience (PIIN; https://www.purdue.edu/discoverypark/institute-for-integrative-neuroscience/) and the Center on Aging and the Life Course (CALC; https://www.purdue.edu/aging/about) Established in 1869, Purdue is Indiana’s land-grant university, a comprehensive educational and research institution and member of the American Association of Universities. The West Lafayette campus, located one hour north of Indianapolis and two hours south of downtown Chicago, has ten academic colleges with an enrollment of 44,500 students from over 133 countries. The diverse greater Lafayette/West Lafayette community (http://www.homeofpurdue.com) has a population of approximately 200,000, and a low cost of living. Application Procedure: Applications must include (1) a cover letter of interest, (2) a curriculum vitae, (3) a research statement, (4) three peer-reviewed research articles, (5) a teaching statement, and (6) a diversity, equity, and inclusion statement (see below), and 7) contact information for three references. Application materials should be submitted by January 6th, 2021 for full consideration. Review of applications will continue until the position is filled. A background check is required for employment in this position. Questions regarding the position may be sent to Dr. Julia Chester, Chair of the Search Committee (jcheste(a)purdue.edu) Interested candidates should apply to https://career8.successfactors.com/sfcareer/jobreqcareer?jobId=12135&compan…. Purdue University’s Department of Psychological Sciences is committed to advancing diversity in all areas of faculty effort including discovery, instruction, and engagement. Candidates should address at least one of these areas in the separate Diversity and Inclusion Statement, indicating their past experiences, current interests or activities, and/or future goals to promote a climate that values diversity and inclusion. Equal Opportunity: Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply. ----------------------------------------------------------------- Sébastien Hélie, Ph.D. Associate Professor of Psychological Sciences Director of CEREBBRAL -- Offices: PRCE 359 / DLR 331 Phone: (765) 496-2692 Website: http://ccn.psych.purdue.edu/ ----------------------------------------------------------------

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Postdoctoral position in computational neuroscience at UCSF and Lawrence Berkeley National Laboratory
by Kirst, Christoph Nov. 21, 2020

Nov. 21, 2020

The lab of Christoph Kirst<https://profiles.ucsf.edu/christoph.kirst> at UCSF<https://weill.ucsf.edu/> and the Lawrence Berkeley National Laboratory<https://www.lbl.gov/research-areas/> is looking for a postdoctoral scholar working at the interface between theoretical neuroscience and neuromorphic computing. The project seeks to explore mechanisms underlying dynamical self-reconfiguration of neuronal networks in brains and machines. Areas of interest are broad and include adaptive processing in dynamically self-reconfiguring neuronal networks, coordination of large scale distributed computation as well as energy efficient neuromorphic hardware. A potential research direction is to explore oscillatory mechanisms to coordinate computation and implement those into neuromorphic hardware of super-conducting oscillators. The ideal candidate would be capable of creating novel ideas and frameworks for flexible analog computation in neuronal and artificial networks. Experience with computation in dynamical systems, theoretical and experimental neuroscience, machine learning, neuromorphic computing or hardware design are advantageous. Interactions between researchers at UC San Francisco, UC Berkeley and at LBNL are encouraged. Postdoctoral researchers will have access to allocations on some of the world-leading supercomputers including Cori, and Perlmutter (Berkeley/NERSC). The lab is committed to providing a diverse and inclusive environment for all scholars, and applications are especially encouraged from all underrepresented groups. Additionally, the lab is committed to the professional development of the members, making it valuable preparation for people who are interested in academic, industrial, or entrepreneurial careers. The position has no mandatory teaching or administrative duties. Excellent (written and oral) communication skills in English are required Candidates should send a CV, a statement of research experience and interests, expected date of availability, and the contact information for three references to christoph.kirst(a)ucsf.edu. Application review will proceed until the position is filled. Christoph Kirst Assistant Professor Department of Anatomy Kavli Institute for Fundamental Neuroscience University of California San Francisco Faculty Scientist Lawrence Berkeley National Laboratory Sandler Neuroscience Building 675 Nelson Rising Lane, Suite 514G San Francisco, 94158, CA, USA Phone: 415-502-7372 https://profiles.ucsf.edu/christoph.kirst [cid:b1051939-2ae0-4294-a389-d3100054eba7]

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Job Posting: MindCORE Research Fellowship for Postdoctoral Scholars at the University of Pennsylvania (apply by Jan 14)
by Calvert, Heather J Nov. 20, 2020

Nov. 20, 2020

MindCORE Research Fellowship for Postdoctoral Scholars MindCORE (Mind Center for Outreach, Research, and Education) seeks to recruit outstanding postdoctoral researchers for our Research Fellowship for Postdoctoral Scholars. Housed within the School of Arts & Sciences of the University of Pennsylvania, MindCORE is an interdisciplinary effort to understand human intelligence and behavior. Designed for individuals who have recently obtained a PhD degree in psychology, linguistics, neuroscience, philosophy, computer science or other cognitive science discipline, the MindCORE Fellowship is a springboard for young researchers as they establish their own research program. Fellows are also encouraged to pursue collaborative research with faculty working across disciplines at Penn. Benefits Fellows receive a competitive salary, relocation allowance, health insurance plus a modest research budget. Fellows also benefit from access to the greater community of academics including visiting scholars plus leading research facilities equipped with cutting-edge instrumentation all on an urban campus in a vibrant city. Fellows are invited to join regular working group meetings within their field plus career development workshops aimed at young researchers, and will be provided with a mentoring committee. Funding is provided in one year terms renewable for up to three years. Eligibility & Application * Applicants must have formally completed all requirements of the PhD degree and provide a copy of their diploma at the time of appointment. Candidates must submit 1-2 page research statement that identifies at least three MindCORE faculty at Penn (https://mindcore.sas.upenn.edu/people/faculty-and-associates/) with whom the applicant would be interested in collaborating, along with a CV and contact information for two referees. * Submitted documents should be saved with candidate's Lastname_Firstname.PDF in one PDF file in this order: research statement, CV, referees (name, affiliation, email address). Complete applications should be submitted through the form on our website: https://web.sas.upenn.edu/mindcore/post-doctoral-research-fellowship/. Questions can be emailed to pennmindcore(a)sas.upenn.edu<mailto:pennmindcore@sas.upenn.edu> * Applications due January 14, 2021. Selection All eligible and complete applications will be evaluated by the Selection Committee and are judged on the following criteria: * Scientific excellence * Scientific match and interdisciplinarity * Career potential MindCORE awards ~2 post-doctoral Fellowships per year. Positions may start as early as July 1, 2021. Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class. Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. Thank you for posting/sharing! Heather J. Calvert (she / her) Executive Director, MindCORE, University of Pennsylvania Penn's hub for the integrative study of the mind. hcalvert(a)sas.upenn.edu<mailto:hcalvert@sas.upenn.edu> https://web.sas.upenn.edu/mindcore/ Follow MindCORE on Twitter & Facebook @PennMindCORE

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The KiloNeurons ERC project: post-doctoral and PhD research positions in theoretical neuroscience
by Yoram Burak Nov. 20, 2020

Nov. 20, 2020

The Burak Lab at the Hebrew University is recruiting *post-doctoral research associates* and *graduate students* in theoretical neuroscience to take part in an *ERC Synergy* research project led by Edvard Moser (NTNU) and Yoram Burak (HUJI). The €10M *KiloNeurons* project is a collaborative endeavor bringing together theoretical and experimental researchers from the two labs, aiming to identify how thousands of neurons in the mammalian cortex interact with each other to achieve computational and cognitive functions. Team members at HUJI will develop theories of neural network dynamics and methodologies for interpretation of large scale neural recordings. Experimental data will be collected in the Moser Lab, and analyzed in close collaboration between the labs. Research will be conducted at the *Edmond and Lily Safra Center for Brain Sciences*, offering a superb intellectual environment for interdisciplinary brain research, with a strong emphasis on systems and computational neuroscience. The Burak Lab is affiliated also with the *Racah Institute of Physics*. Extensive interaction, including research visits, will take place with the *Kavli Institute for Systems Neuroscience* (Trondheim, Norway). *Postdoctoral research positions* Candidates for postdoctoral positions must have an excellent research record in theoretical neuroscience, theoretical physics, mathematics, computer science, or a related field, and a keen interest in computational neuroscience. Experience with research related to machine learning, statistical physics, nonlinear dynamics, information theory, or large-scale data analysis, as well as familiarity with research in computational neuroscience are advantageous, but not individually required. We are looking for candidates with excellent abilities in theoretical research, strong intellectual curiosity and drive, and an interest in relating theory to experimental data. *To apply for postdoctoral research positions*Please send the following information to yoram.burak(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 Please include the text 'POSTDOC_APPLICATION' in the subject header of the email. *Deadline*: For full consideration, applications must be received by December 21, 2020. *Graduate student positions*Candidates for graduate student positions must have an excellent record from their undergraduate studies in physics, mathematics, computer science, or a related field, and a keen interest in computational neuroscience. We are looking for candidates with an excellent ability to learn new topics and with superb intellectual curiosity and drive. Students can join through the physics Ph.D. program at the Racah Institute of Physics, or the Ph.D. program in brain sciences at the Edmond and Lily Safra Center. Other graduate study programs at the Hebrew University may be appropriate, depending on the background of the candidate. *To apply for graduate student positions*Please send the following information to yoram.burak(a)elsc.huji.ac.il in a* single PDF file*: 1. Curriculum vitae 2. Grade transcripts from undergraduate studies and, if applicable, M.Sc. studies 3. Brief statement (up to one page) describing why you would like to join the project as a graduate student 4. M.Sc. graduates: please provide the names and contact details of two references Please include the text 'PHD_APPLICATION' in the subject header of the email. *Deadline*: University deadlines and possible starting dates depend on the specific program joined. For full consideration in this search please apply by December 21, 2020. *See also*: https://www.buraklab.me/kiloneurons https://sciencebusiness.net/network-updates/ntnu-eu10m-erc-synergy-grant-no…

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Assistant Professorin Computational Neuroscience (W1) with tenure track option (to W2) - Institute of Cognitive Science, Osnabrueck
by Prof. Pipa Nov. 20, 2020

Nov. 20, 2020

The School of Human Sciences at Osnabrück University seeks to appoint, at the Institute of Cognitive Science, an Assistant Professor (m/f/d) in Computational Neuroscience at the earliest possible date. This tenure-track Professorship is funded by the German Federal Government under its Program for the Promotion of Young Academics (Tenure-Track Program). Research experience in the field of experimental and computer aided Human Cognitive Neuroscience, proven by a publication record in recognized scientific journals is expected. Further, on the theoretical side, significant experience in training and analysing deep neural networks as models of brain functions is required. Experimental work should cover a variety of methods, including, e.g., EEG, MEG, fMRI, TMS and Eyetracking, combined with advanced analysis by machine learning methods. Research should be in the area of experimental and computer aided Cognitive Neuroscience. The professorship complements and cooperates with the existing research groups of the Institute of Cognitive Science at Osnabrück University. Further, the holder of the position should actively contribute to existing and future collaborative research projects (currently, the RTG Situated Cognition, RTG Computational Cognition, and SIDDATA) and should participate in the respective continuation research proposals. In addition, the professorship should represent the complete range of the subject in both research and teaching in all degree programs of Cognitive Science (BSc, MSc, PhD). Teaching is in English. Osnabrück University is a certified family-friendly university and is committed to helping working/studying parents balance their family and working lives. Osnabrück University is actively seeking to increase the number of female Professors in its employ. Applications from women are therefore particularly welcome. You can find more information here. https://www.uni-osnabrueck.de/universitaet/stellenangebote/professuren-junio rprofessuren/ For further information, please contact Prof. Dr Gordon Pipa, E-Mail: gpipa(a)uni-osnabrueck.de. Please submit your application by January 03, 2021 (bewerbungfb08(a)uni-osnabrueck.de enter the code word "CN" in the subject of your e-mail ) We look forward to receiving your application. ---------------------------------------------------------------------------- ----------------------------------- Professor and Chair of the Neuroinformatics Department Dr. rer. nat. Gordon Pipa Institute of Cognitive Science, Room 50/218 tel. +49 (0) 541-969-2277 fax (private). +49 (0) 5405- 500 80 98 home office. +49 (0) 5405- 500 90 95 e-mail: gpipa(a)uos.de webpage: http://www.ni.uos.de research gate: https://www.researchgate.net/profile/Gordon_Pipa/?ev=prf_act linkedin: https://de.linkedin.com/in/gordon-pipa-47771539 Personal Assistent and Secretary of the Neuroinformatic lab: Anna Jungeilges Tel. +49 (0)541 969-2390 Fax +49 (0)541 969-2246 Email: anna.jungeilges(a)uni-osnabrueck.de visit us on http://www.facebook.com/CognitiveScienceOsnabruck https://twitter.com/#!/CogSciUOS

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Call for 2021 Telluride Neuromorphic Cognition Engineering Workshop Topic Area Proposals
by Emre Neftci Nov. 20, 2020

Nov. 20, 2020

The Telluride Neuromorphic 2021 Workshop Organizers are soliciting topic area proposals for the 2021 Telluride Neuromorphic Cognition Engineering Workshop ( https://sites.google.com/view/tellurideneuromorphic2021/home ) which will run from June 27 to July 16 2021. Details of the call can be found here: https://docs.google.com/document/d/1oVU27pg-O3hIRepgfx1GnrZawiDhG6zNBsTty_k… Important upcoming dates: - 17.12.2020: Proposer's Day (5pm CET (9am USA Mountain Time). We will answer questions from prospective proposers about the topic area organization. - 01.15.2021: Deadline for Topic Area Proposals. -- Emre Neftci, PhD, Assistant Professor, Neuromorphic Machine Intelligence Lab (http://nmi-lab.org/) Department of Cognitive Sciences, 2308 Social & Behavioral Sciences Gateway Building, UC Irvine 92697-5100

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PhD opportunity: Neurocomputational mechanisms of decision making
by Simon Kelly Nov. 19, 2020

Nov. 19, 2020

Applications are invited for a *fully-funded, 4-year PhD* position in the Kelly lab in University College Dublin, to work on a project examining the task-adaptive role of evidence accumulation in perceptual decision making using human neurophysiology combined with computational modelling. This project is funded under a Wellcome Trust Investigator Award, by the SFI-HRB-Wellcome Research Partnership. The extent to which evidence accumulation underpins decision formation in some or all perceptual tasks is still widely debated. Accordingly, there now exist many distinct, alternative mathematical decision models that limit the role of evidence accumulation in various ways, most notably through leaky integration or "collapsing" decision bounds. The trouble is, these alternative models can often be made to fit behavioral data equally well but lead to fundamentally different inferences. With the rapidly growing use of these models across many basic and clinical research domains, it is past time that we knew whether, why and how these alternative mechanisms are invoked across different task scenarios, including ones representative of real life. This project will draw on novel neurally-informed modelling approaches developed by our lab (see, e.g. [1-3]) and others, to uncover core principles governing how neurocomputational decision processes are flexibly adapted to diverse task demands. The Kelly lab is based in the School of Electrical and Electronic Engineering in University College Dublin, Ireland, and is affiliated with the Trinity College Institute of Neuroscience. It has strong collaborative links to basic and clinical cognitive neuroscience research groups employing a range of methods, both locally and internationally. The successful candidate will have ample opportunities for wider collaborations and the learning of new skills. Interested candidates should submit their CV and a brief research statement describing their background and research interests and how they align with the project and the broader interests of the Kelly lab, to simon.kelly(a)ucd.ie. The PhD position is intended to start in Sept 2021, with some flexibility. [1] Afacan-Seref K, Steinemann NA, Blangero A, Kelly SP. Dynamic interplay of value and sensory information in high-speed decision making. Current Biology. 2018. 28(5):795-802.e6. [2] Kelly SP, Corbett EA, O'Connell RG. Neurocomputational mechanisms of prior-informed perceptual decision making in humans. Nature Human Behaviour. In Press. [3] O'Connell RG, Shadlen MN, Wong-Lin K, Kelly SP. Bridging Neural and Computational Viewpoints on Perceptual Decision-Making. Trends Neurosci. 2018;41(11):838‐852. doi:10.1016/j.tins.2018.06.005 ----------------------------------------------------------- Simon Kelly, Ph.D. Associate Professor School of Electrical and Electronic Engineering University College Dublin t: +353 (1) 716 1803 e: simon.kelly(a)ucd.ie -----------------------------------------------------------

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2 Postdoc positions: Neurocomputational mechanisms of decision making
by Simon Kelly Nov. 19, 2020

Nov. 19, 2020

Applications are invited for two 3-year postdoctoral positions in the Kelly lab in University College Dublin, to work on a project examining the task-adaptive role of evidence accumulation in perceptual decision making using human neurophysiology combined with computational modelling. This project is funded under a Wellcome Trust Investigator Award, by the SFI-HRB-Wellcome Research Partnership. The extent to which evidence accumulation underpins decision formation in some or all perceptual tasks is still widely debated. Accordingly, there now exist many distinct, alternative mathematical decision models that limit the role of evidence accumulation in various ways, most notably through leaky integration or "collapsing" decision bounds. The trouble is, these alternative models can often be made to fit behavioral data equally well but lead to fundamentally different inferences. With the rapidly growing use of these models across many basic and clinical research domains, it is past time that we knew whether, why and how these alternative mechanisms are invoked across different task scenarios, including ones representative of real life. This project will draw on novel neurally-informed modelling approaches developed by our lab (see, e.g. [1-3]) and others, to uncover core principles governing how neurocomputational decision processes are flexibly adapted to diverse task demands. The Kelly lab is based in the School of Electrical and Electronic Engineering in University College Dublin, Ireland, and is affiliated with the Trinity College Institute of Neuroscience. It has strong collaborative links to basic and clinical cognitive neuroscience research groups employing a range of methods, both locally and internationally. The successful candidate will have ample opportunities for wider collaborations and the learning of new skills. Interested candidates should submit their CV and a brief research statement describing their background and research interests and how they align with the project and the broader interests of the Kelly lab. Please submit these materials through the UCD job vacancies site ( https://www.ucd.ie/workatucd/jobs/ - search for job ref number *012812*), before the *deadline of Jan 11 2021*. The positions are intended to start in April/May 2021, with some flexibility. [1] Afacan-Seref K, Steinemann NA, Blangero A, Kelly SP. Dynamic interplay of value and sensory information in high-speed decision making. Current Biology. 2018. 28(5):795-802.e6. [2] Kelly SP, Corbett EA, O'Connell RG. Neurocomputational mechanisms of prior-informed perceptual decision making in humans. Nature Human Behaviour. In Press. [3] O'Connell RG, Shadlen MN, Wong-Lin K, Kelly SP. Bridging Neural and Computational Viewpoints on Perceptual Decision-Making. Trends Neurosci. 2018;41(11):838‐852. doi:10.1016/j.tins.2018.06.005 ----------------------------------------------------------- Simon Kelly, Ph.D. Associate Professor School of Electrical and Electronic Engineering University College Dublin t: +353 (1) 716 1803 e: simon.kelly(a)ucd.ie -----------------------------------------------------------

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Postdoc position in decision neuroscience: Multi-site project
by Simon Kelly Nov. 19, 2020

Nov. 19, 2020

Applications are invited for a 3-year postdoctoral research position in the Kelly lab in University College Dublin, to work on a collaborative Tripartite project on the neural mechanisms of perceptual decision making, jointly funded by Science Foundation Ireland, HSC-Northern Ireland and the U.S. National Institute of Mental Health. The overall, multi-site project involves non-human primate neurophysiology (Michael Shadlen in Columbia University), intracranial human EEG (Stephan Bickel in Northwell-Hofstra School of Medicine), biologically based neural network modelling (KongFatt Wong-Lin, Ulster University), human fMRI (Redmond O’Connell in Trinity College Dublin) and human EEG (Simon Kelly in UCD), with several planned visits and regular interactions among labs, and diverse skill-building opportunities. The primary focus of the postdoc position in UCD is to contribute insights using human EEG, in close alignment with, and with contributions to, the experiments conducted in other modalities and at the other sites. A key focus of the project is to understand the role of neural representations of cumulative evidence that are abstracted from specific motor requirements, and to find out where and how such representations are computed in the human and non-human primate brains. Interested candidates should submit a brief research statement and CV including publications through the UCD job vacancies site ( https://www.ucd.ie/workatucd/jobs/ – search for job ref number 012810). Informal enquiries can be directed to Simon (simon.kelly(a)ucd.ie) Candidates should explain in their statement how their own research interests fit with those of the Kelly lab and why they are suited to this particular multi-site neuroscience project. The deadline for submitting applications is Dec 16 2020, and shortlisting and interviews will take place shortly after that. It is hoped that the candidate can start on this project early in the new year. ----------------------------------------------------------- Simon Kelly, Ph.D. Associate Professor School of Electrical and Electronic Engineering University College Dublin t: +353 (1) 716 1803 e: simon.kelly(a)ucd.ie -----------------------------------------------------------

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postdoc position at Georgia Tech
by Rozell, Christopher J Nov. 19, 2020

Nov. 19, 2020

A postdoctoral position in computational neuroscience is available in the lab of Christopher Rozell at the Georgia Institute of Technology (Atlanta, GA). This BRAIN Initiative research project seeks to advance the field of closed-loop computational neuroscience by pioneering the use of real-time feedback stimulation during experiments to decouple recurrently connected circuit elements and make stronger causal inferences about circuit interactions. This position will have a broad opportunity to develop models and algorithms that are implemented in novel experiments using closed-loop optogenetic stimulation. We aim to provide both new scientific insight about computation in neural circuits (especially sensory coding in the thalamo-cortical circuit) as well as new approaches and algorithmic tools for the community to use in novel electrophysiology experiments. This position will work as part of a team and in close collaboration with the experimental lab of Garrett Stanley (also at Georgia Tech), and it is expected that the computational and algorithmic approaches will be implemented experimentally through close partnership with experimentalists in the Stanley Laboratory. Applicants should hold a PhD in a related discipline with a strong record of research impact, quantitative thinking and collaborative work. Experience in computational neuroscience, machine learning, feedback control, and causal inference is all advantageous. The lab is committed to providing a diverse and inclusive environment for all scholars, and applications are especially encouraged from all underrepresented groups. Additionally, the lab is committed to the professional development of the members, making it valuable preparation for people who are interested in academic, industrial or entrepreneurial careers. The position has no mandatory teaching or administrative duties. Excellent (written and oral) communication skills in English are required. This particular project is part of the Collaborative Research in Computational Neuroscience program (CRCNS), providing access to a community of researchers across the country who are focused on similar types of collaborations between computational and experimental labs. Georgia Tech's campus in the heart of midtown Atlanta, which has a thriving and collaborative neuroscience community that has a particular emphasis on computational and systems neuroscience. Atlanta is also one of the fastest-growing metropolitan areas in the United States, boasting a wide range of opportunities for recreation and culture. Georgia Tech has competitive benefits (including comprehensive medical insurance) and is an equal opportunity employer. The position would ideally start as soon as possible (spring 2021). The appointment is initially for 12 months with the expectation of renewal. Compensation will be commensurate with relevant experience. Candidates should send a CV, a statement of research experience and interests, expected date of availability, and the contact information for three references to crozell(a)gatech.edu with the subject line "CRCNS postdoc". Application review will proceed until the position is filled and should be received by December 1 for full consideration. http://siplab.gatech.edu/CRCNS_postdoc_ad.html

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Postdoctoral fellow in Computational Neuroscience investigating mechanisms of sensorimotor integration.
by Ausborn,Jessica Nov. 19, 2020

Nov. 19, 2020

Dr. Jessica Ausborn’s group at Drexel University College of Medicine, in the Department of Neurobiology & Anatomy has a postdoctoral position available for an exciting new research project involving computational models of sensorimotor integration based on neural and behavior data in Drosophila. The interdisciplinary collaboration with the experimental group of Dr. Katie von Reyn (Drexel School of Biomedical Engineering) will involve a variety of computational techniques including the development of biophysically detailed and more abstract mathematical models together with machine learning and data science techniques to identify and probe the algorithms computed in neuronal pathways that perform sensorimotor transformations. The Ausborn laboratory is part of an interdisciplinary group of Drexel’s Neuroengineering program that includes computational and experimental investigators. This collaborative, interdisciplinary environment enables us to probe biological systems in a way that would not be possible with either an exclusively experimental or computational approach. https://drexel.edu/medicine/about/departments/neurobiology-anatomy/research… More details on how to apply can be found here: https://careers.drexel.edu/en-us/job/495192/postdoctoral-researcher ----- Jessica Ausborn Assistant Professor Neurobiology and Anatomy College of Medicine Drexel University 2900 W Queen Lane Philadelphia, PA 19129

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PhD with Bristol Neural Computation Hub
by Cian O'Donnell Nov. 19, 2020

Nov. 19, 2020

The Bristol Neural Computation Hub, University of Bristol, UK is looking to recruit to a number of EPSRC-funded PhD studentships for a Sept/Oct 2021 start: the research areas considered include Computational Neuroscience and Machine Learning. We have a vibrant Computational Neuroscience group with strong collaborative links with local and international groups working in experimental neuroscience, in machine learning and cognitive science. We have interesting projects to offer in our respective research areas: Laurence Aitchison (http://www.gatsby.ucl.ac.uk/~laurence/) gaussian processes and deep learning. Jeff Bowers (https://jeffbowers.blogs.bristol.ac.uk) deep learning as models of cognition. Conor Houghton (https://conorhoughton.github.io) information theory, decision making and affective state and linguistics. Nathan Lepora (http://lepora.com) robotics, neuroscience, biomimetics. Cian O’Donnell (https://odonnellgroup.github.io) synaptic plasticity, autism, statistical methods for neural data. Rui Ponte Costa (https://neuralml.github.io) credit assignment in cortical circuits. More details on the group here: https://bristolcnu.github.io/research/ Bristol is one of the top places to live and work in the UK and so we urge you to apply or to recommend this opportunity to suitable students. Anyone interested should contact one of us to discuss potential project and their application as early as possible; there are notes on the application process below; the final application would need to be submitted by 15th Jan 2021. All the best, Conor, Nathan, Cian, Rui, Laurence, and Jeff ___________ Information on the studentships: http://www.bristol.ac.uk/engineering/postgraduate/funding/sceem-studentships International students (including EU who haven’t lived in the UK) are very much eligible to apply but the process will be more competitive as only maximum 30% of the studentships are open for them. The remainder of these studentships are subject to a UK residency requirement: (https://epsrc.ukri.org/skills/students/help/eligibility/) Students should contact one of us before applying as you would need our nomination and also time to develop their project proposal with us. The selection itself goes through a two step process, students are first accepted as PhD students by the University and are then considered for funding within the School. Applicants should apply via http://www.bristol.ac.uk/study/postgraduate/apply/ and select "Computer Science PhD", ensuring they submit a short research proposal outlining the research question or area they intend to focus on and a CV by the deadline.

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Online workshop series - Neural Control: From data to machines
by plan4act Nov. 18, 2020

Nov. 18, 2020

We are pleased to announce that registration is now open for the remaining sessions of our ongoing workshop series *Neural Control: From data to machines* with weekly Zoom-sessions each Thursday morning at 10am (CET) throughout November and December. It's not too late to register for tomorrow's session (*Nov 19th*)! Topic: Movement disorders leave individuals unable to control parts of their bodies, creating a disconnect between their brain and the world around them. This workshop series looks at how neural activity can be mapped to control smart systems, producing desired movements on demand. To discuss the implied problems and solutions, we have brought together experts from the different involved scientific fields. Details and registration at: https://alexandria.physik3.uni-goettingen.de/cns-group/projects/webinars/ <https://alexandria.physik3.uni-goettingen.de/cns-group/projects/webinars/> Confirmed Speakers: * *Dario Farina* * *Silvestro Micera* * *Tonio Ball* * *Nick Ramsay* * *Juan Álvaro Gallego* * *Florentin Wörgötter* * *Alexander Gail* * *Christian Tetzlaff* * *Michael Fauth* * *Tomoki Fukai* * *Petra Ritter* * *Valerio Mante* * *Hans Scherberger* * *Gordon Cheng* * *Poramate Manoonpong* * *Jan-Matthias Braun* * *Eugenio Gaeta* * *Daniel Durstewitz* * *Yukie Nagai* Please forward to anyone who may be interested. Best, Florentin Wörgötter and Christian Tetzlaff

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Fully-funded PhD Position in Cognitive Neuroscience
by Alireza Soltani Nov. 17, 2020

Nov. 17, 2020

Fully-funded PhD Position in Cognitive Neuroscience The Cognitive and Affective Neuroscience Lab and the Computational and Cognitive Neuroscience Lab at Dartmouth have a joint, fully-funded PhD position for a motivated student to work on an exciting project on understanding how interactions between belief, expectation, and prior experience shape learning about reward and pain, process of belief formation, and how expectation or reward and pain influences perception and learning. The project is a collaboration between two labs and involves a combination of human experiments and computational modeling. A suitable candidate would have a strong background in cognitive and/or computational neuroscience, good computer programming skills, and a strong desire to understand neural mechanisms underlying cognition. Interested candidates should contact Alireza Soltani (Alireza.Soltani(a)dartmouth.edu) and/or Tor Wager (Tor.D.Wager(a)dartmouth.edu) To apply, please visit the PBS’s Graduate Admissions page <https://pbs.dartmouth.edu/menufeature/graduate/graduate-admissions> Relevant references: Soltani, Khorsand, Guo, Farashahi, Liu (2016). Neural Substrates of Cognitive Biases during Probabilistic Inference. Nature Communications, 7:11393 Jepma, Koban, van Doorn, Jones, Wager (2018). Behavioural and neural evidence for self-reinforcing expectancy effects on pain. Nature human behaviour, 2(11):838-55.

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[Journals] 1st CFP: Special Issue on "Theory of Mind in Humans and in Machines"
by Bogdan Ionut Cirstea Nov. 16, 2020

Nov. 16, 2020

Dear colleagues, Apologies for cross-posting. Together with Prof. Fabio Cuzzolin (Oxford Brookes University, UK) and Prof. Barbara Jacquelyn Sahakian (University of Cambridge, UK), we are organizing a special issue (Frontiers Research Topic) on the emerging topic of "Theory of Mind in Humans and in Machines" under the "Frontiers in Artificial Intelligence" and "Frontiers in Computational Neuroscience" journals. We would like to invite you to contribute articles to the Research Topic. For more information on this special issue, please visit the website at https://www.frontiersin.org/research-topics/16802/theory-of-mind-in-humans-… . Papers may be submitted until the 3rd of April 2021. Submitted papers should not be under consideration for publication elsewhere. We also encourage authors to send a short abstract (via the platform) to ensure compliance with the topic and scope of the Frontiers journals as early as possible. The submission of abstracts is not mandatory and the deadline is the 4th of December 2020. Topics of interest include, but are not limited to, theoretical proposals, computational experiments, and case studies of: • Computational Theory of Mind • Learning from Demonstrations • Cognitive Models for Learning from Demonstration and Planning • Neuroscience-inspired models of Theory of Mind • Human-Robot Interaction • Cooperative Inverse Reinforcement Learning (assistance games) • Learning from Preferences If you intend to send an article to the special issue, please do let us know by hitting the "Participate" button in the web interface. If you have any questions or need any kind of assistance from us, please do not hesitate to let us know. On behalf of the topic editors, Bogdan-Ionut Cirstea Topic Editors: Prof. Fabio Cuzzolin, Oxford Brookes University, UK < fabio.cuzzolin(a)brookes.ac.uk> Prof. Barbara Jacquelyn Sahakian, University of Cambridge, UK < bjs1001(a)cam.ac.uk> Dr. Bogdan-Ionut Cirstea, Oxford Brookes University, UK < bcirstea(a)brookes.ac.uk>

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PhD and Postdoc Positions in Computational/Theoretical Neuroscience (Western University)
by Lyle Muller Nov. 16, 2020

Nov. 16, 2020

The lab of Lyle Muller (http://mullerlab.ca) in the Department of Applied Mathematics and the Brain and Mind Institute at Western University (London, Ontario) has multiple PhD positions and one postdoctoral position in computational and theoretical neuroscience. NeuroNex Postdoctoral Scholar: This scientist will work with an international NeuroNex consortium<https://www.nxwm.io> studying the transcriptomic, cellular, and network basis of working memory. The project will incorporate analysis of multichannel neural data and computational models ranging from single neurons to spiking neural networks and machine learning algorithms. The researcher will work within a dynamic team and with data at multiple scales (transcriptomics, intracellular patch clamp, and extracellular spiking data). Joint PhD position with Julio Martinez-Trujillo<https://martinez-trujillo-uwo.ca>: This scientist will join a growing marmoset electrophysiology program in the Martinez-Trujillo lab, where multichannel arrays will record neural spiking activity at high spatial and temporal resolution during sensory and cognitive tasks. These multimodal experiments will be complemented by computational analyses and models collaboratively developed in the two labs. Joint PhD position with Wataru Inoue<https://www.schulich.uwo.ca/physpharm/people/faculty/Bio%20Pages/inoue_wata…>: This scientist will develop a real-time interface between recorded neurons and computational models of these single cells. The candidate will then use these “dynamic clamp” recordings to study how the properties of single cells are shaped by network activity and how network activity is in turn shaped by these properties. Research in this project will involve developing intracellular recording paradigms in conjunction with single neuron and spiking network models. Candidates interested in the lab’s research are additionally encouraged to contact the PI to discuss other projects of interest. Research in the lab utilizes a combination of large-scale numerical simulations and analytical approaches. Prior experience with scientific computing languages (MATLAB, Julia, or Python) and/or low-level programming (C/C++) is preferred. Prior experience with computational modeling, signal processing, or random graph theory is also preferred. Western University offers an excellent research environment and support. Graduate students can apply through the departments of Applied Mathematics or Neuroscience. Interested candidates (both graduate and postdoc) can write to lmuller2(a)uwo.ca<mailto:lmuller2@uwo.ca> with a CV to arrange an interview. Review of applications will begin on 15 December. BrainsCAN has an upcoming Graduate Studentship<https://brainscan.uwo.ca/programs/graduate_studentship_program/index.html> (deadline 4 January 2021) for highly talented candidates. Both our group and the University are deeply committed to fostering diversity in the sciences. Applications from underrepresented groups are strongly encouraged. BrainsCAN has an upcoming EDI Postdoctoral Special Call<https://brainscan.uwo.ca/programs/pdf_special_call/index.html> (deadline 4 December 2020), and any interested applicants can write the PI directly to discuss applications for this opportunity. -- Lyle Muller http://mullerlab.ca

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Postdoctoral Fellow/Research Associate Position in Computational Neuroscience and Biomechanical Modeling
by Danner,Simon Nov. 16, 2020

Nov. 16, 2020

We are looking to fill a Postdoctoral Fellow/Research Associate position in Computational Neuroscience and Biomechanical Modeling at the Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA. Our group studies the spinal locomotor circuitry and its interactions with the musculoskeletal system and afferent feedback. The qualified postdoc will work on several collaborative, interdisciplinary, NIH-funded projects to uncover the connectivity and function of somatosensory afferents and various genetically or anatomically identified interneurons. The studies involve the development of computer models of mouse, rat, and cat biomechanics connected with models of the spinal locomotor circuitry. The successful candidate will closely collaborate with other computational and experimental neuroscientists: they will use experimental data to implement and refine the model, and use the model to derive predictions that will then be tested experimentally by our collaborators. The qualified candidate will benefit from joining a well-funded research group that works in a dynamic, collaborative and interdisciplinary environment. The highly collegial Danner lab is a member of the Neuroengineering Program, the Theoretical & Computational Neuroscience group, and the Spinal Cord Research Center within Drexel University College of Medicine’s Department of Neurobiology and Anatomy (http://drexel.edu/medicine/About/Departments/Neurobiology-Anatomy/) in Philadelphia, PA. The Department provides an outstanding scientific environment for multidisciplinary training. Interactions and collaborations between labs and between other departments are encouraged. More detailed information can be found here: https://careers.drexel.edu/en-us/job/495193/postdoctoral-researcher To apply, please email a current CV and contact information for 3 references to smd395(a)drexel.edu<mailto:smd395@drexel.edu>. The position will remain posted until filled. -- Simon M. Danner Assistant Professor Neurobiology and Anatomy College of Medicine Drexel University 2900 W Queen Lane Philadelphia, PA 19129

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Special Research topic in Frontiers of Neuroscience: “Symmetry as a Guiding Principle in Understanding Neural Information Processing.”
by Benedetta Franceschiello Nov. 16, 2020

Nov. 16, 2020

*S**pecial Research topic in Frontiers of Neuroscience. Guest editors: T. Poggio (MIT),F. Anselmi (BCM), A. Patel (BCM), A. Tacchetti (Deep mind)* *Title: *“Symmetry as a Guiding Principle in Understanding Neural Information Processing.” Researchers are invited to submit papers for this special edition. For more information, or to submit a manuscript, please visit URL: https://www.frontiersin.org/research-topics/15343/symmetry-as-a-guiding-pri… Submission deadline: April 13, 2021 The aim of this Research Topic is to cover promising, recent, and novel research trends regarding on the role of symmetry in shaping the learning/ information processing and neuronal organization in the brain, within a theoretical and computational perspective. Areas to be covered in this Research Topic may include, but are not limited to: - New architectures beyond convolutional networks: biologically plausible sensory representations that are simultaneously selective for object identity and invariant to nuisance variation (including but not limited to group transformations, beyond translations) in mammalian cortex. - Sample complexity and invariant representations: is the brain using symmetries to perform efficient computation? - Variants of common plasticity rules or new class of rules that incorporate sensory data symmetries: how can the brain discover data symmetries and learn to represent sensory input in an invariant way? - Role of time continuity, crucial in the sensory experience, in defining classes of symmetries (implicit unsupervised labelling For questions, please contact Prof. Fabio Anselmi via email: Fabio.Anselmi(a)bcm.edu

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You are invited to EEG/ERPs recording and analyses WEBINAR
by Maryam Nov. 16, 2020

Nov. 16, 2020

“EEG/ERPs recording and analyses A multifaceted approach to EEG signal” Dear researchers, We are pleased to announce the upcoming webinar organized by ScienceBeam. Please also share with interested students and researchers. Date and Time: December 1st, 11:00 AM CEST Speaker: Dr. Raphaël Fargier ➢ PhD in Cognitive Neuroscience, Université Claude Bernard Lyon 1 ➢ Post-doctoral fellow at Aix-Marseille University-LPL Highlights: • Basics of EEG recording and pre-analyses • Multifaceted approach to EEG signal processing ➢ ERPs ➢ Microstates (Spatio-temporal segmentation) ➢ Single-trials ➢ Oscillations (Time-frequency decomposition) • Case studies “Electrophysiology of language”: how EEG can inform on how words are learned, produced and understood You don’t want to miss this webinar! Save your seat via the link below: https://sciencebeam.com/raphael-fargier-webinar/ Can’t attend live? You should still register. We’ll send out the recording after the webinar to all the registrants. If you need more information please contact us: workshop(a)sciencebeam.com WhatsAppno: 008613380781282

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Fully-funded PhD Position in Computational and Cognitive Neuroscience
by Alireza Soltani Nov. 15, 2020

Nov. 15, 2020

Fully-funded PhD Position in Computational and Cognitive Neuroscience The Computational and Cognitive Neuroscience Lab (CCNL) at Dartmouth has a fully-funded PhD position for a motivated student to work on an exciting project on the role of attention in reward-based learning. The project involves a combination of human experiments and computational modeling. Experimentally, it aims to extend our previous studies that examined learning with multiple cues (Soltani et al, 2016) and multi-dimensional cues (Farashahi et al, 2017; Farashahi et al, 2020). In terms of computational modeling, the aim is to extend current mechanistic models (c.f., Soltani et al, 2016 and Farashahi et al, 2017) as well as recurrent neural networks to better understand the role of attention in learning from high-dimensional stimuli and how complex learning strategies emerge over time. A suitable candidate would have a strong background in cognitive and/or computational neuroscience, good computer programming skills, and a strong desire to understand neural mechanisms underlying cognition. Interested candidates should contact Alireza Soltani (Alireza.Soltani(a)dartmouth.edu) To apply, please visit the Dartmouth PBS’s Graduate Admissions page <https://pbs.dartmouth.edu/menufeature/graduate/graduate-admissions> For more recent publications from the lab please visit http://ccnl.dartmouth.edu <http://ccnl.dartmouth.edu/> Relevant references: 1. Soltani A, Khorsand P, Guo CZ, Farashahi S, Liu J (2016). Neural Substrates of Cognitive Biases during Probabilistic Inference. Nature Communications, 7:11393 2. Farashahi S, Rowe K, Aslami Z, Lee D, Soltani A (2017). Feature-based Learning Improves Adaptability without Compromising Precision. Nature Communications, 8:1768. 3. Farashahi S, Xu J, Wu S-W, Soltani A (2020). Learning Arbitrary Stimulus-Reward Associations for Naturalistic Stimuli Involves Transition from Learning about Features to Learning about Objects. Cognition, 205.

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Assistant Professor / Postdoc position in computational neuroscience and/or developmental robotics at the University of Tokyo
by Yukie Nagai Nov. 13, 2020

Nov. 13, 2020

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, 2021. The contract is renewable on a fiscal year basis (from April 1 to March 31; every year) according to research budget, research activity, and research achievements. Contract duration is until March 31, 2023. 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 Engineering, Ph.D. in Computer Science or equivalent in a related field - Good communication skill in English (Preferred) - Experiences in computational neuroscience, neural network, machine learning, and/or developmental robotics will be 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 and Selection Process - 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 - Selection Process: All applications will be screened, and only those qualified will be scheduled for an interview (on-site or via video). --------------------------------------------------------------------------------- — 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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Scientific Liaison Officer position open at Jülich Supercomputing Center, Germany
by Abigail Morrison Nov. 12, 2020

Nov. 12, 2020

Dear colleagues, we have a position open for a Scientific Liaison Officer for EBRAINS at the Jülich Supercomputing Center, Jülich Research Center, Germany. We are looking for candidates with excellent communication skills, a strong scientific background and computing skills to both promote EBRAINS in the neuroscientific community, and trigger development activities within the Human Brain Project to ensure the requirements of the community are being met. For a full description and details of how to apply, the announcement on our website: https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2020-359-E… Closing date: 1.12.2020 All the best, Abigail Morrison -- 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 2461 61-9805 Fax # : +49 2461 61-9460 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ 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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Brain Connectivity Workshop 2021
by Tanya Brown Nov. 11, 2020

Nov. 11, 2020

After careful deliberation, and based on the latest public health authority information on COVID-19, along with swirling uncertainties regarding travel and gatherings, we have decided to host the next Brain Connectivity <https://bcw-2021.com/>Workshop <https://bcw-2021.com/> online. We are pleased to announce that it has been rescheduled for *MAY 25-28, 2021. *We a im to make this event accessible and inclusive and the timing of the schedule will aim to satisfy a global audience. Registration for the Brain Connectivity Workshop 2021 is Now Open <https://bcw-2021.com/register>. **Spots are limited in order to facilitate discussion throughout the workshop** This year we will revisit that primordial theme from a different perspective: *"What does the mind think of the brain?"* focusing the discussions around what we have learned about our mind over the last 20 years of brain connectomics. The topics will focus on *consciousness and cognition*, looking at the tripartite relationship between anatomical connectivity, brain dynamics and cognitive function. *SPEAKERS* | Dani Bassett | Gustavo Deco | Athena Demertzi | Andreea Diaconescu | Lisa Feldman Barrett | Emily Finn | Karl Friston | | Mike Halassa | Biyu Jade He | Sean Hill | Viktor Jirsa | Michael Mack | Randy McIntosh | Bratislav Misic | | Rosalyn Moran | Petra Ritter | Mac Shine | Enzo Tagliazucchi | Giulio Tononi | Brandon Turner | Please check the BCW website <https://bcw-2021.com/> for more details about the *program* and *speakers* <https://bcw-2021.com/details>. *REGISTER TODAY* <https://bcw-2021.com/register> We hope you can join us, along with leaders in the field of brain connectomics. The BCW 2021 Organizers www.bcw-2021.com

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Data scientist position in the Cardona lab at the LMB
by Andrey Stoychev Nov. 11, 2020

Nov. 11, 2020

The lab of Dr Albert Cardona (https://www2.mrc-lmb.cam.ac.uk/group-leaders/a-to-g/albert-cardona/) is seeking to recruit a junior data scientist -- for lack of a more appropriate name -- to work on connectomics in the Drosophila fly and in many other organisms at the MRC Laboratory of Molecular Biology in Cambridge, UK. This is a 3-year, full-time position that's all about imagery: from electron microscopy volumes to laser-scanning microscopy. Duties include data handling, image registration, segmentation with machine learning, synapse detection, and more. More information can be found in the following ad, which is now closed, but will reopen soon: https://mrc.tal.net/vx/mobile-0/appcentre-int/brand-3/candidate/so/pm/1/pl/…. Please note that this ad claims that a PhD is necessary, but that's not at all a requirement. It also claims this position is for a postdoc, which is also not correct. Enquiries should be sent to Dr Albert Cardona at acardona(a)mrc-lmb.cam.ac.uk. Applications should be either sent directly to Dr Albert Cardona, or submitted through the ad linked above (when it reopens).

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Postdoc positions in Computational/Systems Neuroscience at Washington University in St Louis
by Geoffrey Goodhill Nov. 11, 2020

Nov. 11, 2020

POSTDOC POSITIONS IN THE NEW GOODHILL LAB AT WASHINGTON UNIVERSITY In 2021 I am starting a new Computational, Systems and Developmental Neuroscience lab at Washington University in St Louis (USA) and several postdoc positions will be available. The lab will primarily focus on the formation of neural circuits underlying behavior. This will include developing novel experimental, computational and theoretical methods, and applying them to domains including hunting behavior, social behavior and sleep. The lab will be fully integrated between experimental and theoretical work, performing behavioral and calcium imaging experiments with zebrafish models, and will also have collaborations with other labs working on a range of model systems. Besides questions in basic neuroscience, a particular area of focus will be the circuit perturbations that underlie Autism Spectrum Disorders. For a list of previous publications see www.goodhill.org/pubs.html<http://www.goodhill.org/pubs.html> For these positions particularly suitable backgrounds include computational neuroscience, systems neuroscience, zebrafish neuroscience, optical physics, or more generally physics, applied mathematics, engineering and computer science. Washington University in St Louis is ranked in the top 10 globally for Neuroscience and Behavior, and offers an outstanding intellectual environment for neuroscience research. The lab will be based at the Medical School between the departments of Neuroscience and Developmental Biology, but also expects to develop strong links with the Faculty of Engineering and departments of Mathematics and Physics. If you would like to discuss these positions further please contact me at my current address below, including a detailed CV and cover letter explaining your interest. Professor Geoffrey J Goodhill Queensland Brain Institute and School of Mathematics & Physics University of Queensland St Lucia, QLD 4072, Australia Email: g.goodhill(a)uq.edu.au<mailto:g.goodhill@uq.edu.au> http://www.qbi.uq.edu.au/professor-geoffrey-goodhill

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postdoc position to study spike dynamics in the thalamus during sleep and memory
by Carmen Varela Nov. 10, 2020

Nov. 10, 2020

We are looking for a talented and highly motivated postdoc interested in studying the *dynamics of thalamic cell ensemble activity during learning and memory in rodents. *One of the goals in the Varela lab is to investigate the spike dynamics and brain states that allow animals to learn and make sense of their environment. https://www.varelalab.org/ The postdoctoral researcher will gain expertise in systems and behavioral neuroscience using extracellular electrophysiology and behavior to study the spike dynamics associated with sleep-dependent memory consolidation. Possibility of contributing to additional collaborative projects. We are a small young lab and highly interactive; we love what we do and work closely to support and help each other succeed. The lab is located in the beautiful Jupiter campus of Florida Atlantic University, a rapidly growing neuroscience hub that also holds our partners, the Max Planck Florida Institute for Neuroscience and Scripps Research Institute. *Requirements:* PhD with experience in electrophysiology and rodent models; outstanding interpersonal skills and motivation to work in a collaborative environment. Experience with MATLAB (or other programming languages) preferred. Candidates selected for an interview will be asked to provide contact information for three references. Start date flexible, January-May of 2021. *Interested applicants, please submit your curriculum to Carmen Varela: varelac(a)fau.edu <varelac(a)fau.edu>* FAU is an equal opportunity/affirmative action institution and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veterans’ status or any other characteristic protected by law. -- *Carmen Varela, Ph.D.* Assistant Professor Psychology Department Florida Atlantic University MC-19, room 106 Jupiter, FL 33458

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Phd project in Brighton, UK, within SoCoBio's 4-year doctoral training program
by Sylvia Schröder Nov. 10, 2020

Nov. 10, 2020

Within SoCoBio‘s 4-year doctoral training program <https://southcoastbiosciencesdtp.ac.uk/>, the labs of Sylvia Schröder <https://www.sussex.ac.uk/research/labs/schroeder-lab/index> and Leon Lagnado <https://lagnadolab.com/> are offering the following Phd project in collaboration with their industrial partner, Scientifica <https://www.scientifica.uk.com/>: * **“Integration of visual and behavioural signals in the early visual system”* In this project, you will discover how retinal, cortical and neuromodulatory inputs shape the responses of visual neurons in the superior colliculus. The goal of your Phd project is to understand the mechanisms of signal integration, i.e. which inputs to the superior colliculus shape its neural activity, and the advantages of this integration for visual processing. You will use two-photon imaging in awake mice to simultaneously record activity of neurons in the superior colliculus as well as of axons originating in the retina, visual cortex, or brainstem nuclei such as the dorsal raphe (serotonin). You will compare the responses of the axonal inputs to those in the neurons, and you will observe how these signals change depending on the visual input and the behaviour of the animal. In the beginning of your project, you will develop an advanced imaging technique in collaboration with our industrial partner, Scientifica. You will adapt the existing two-photon microscope to image two separate fields of view simultaneously. This technique, termed multi-region imaging, will enable you to record inputs and outputs of superior colliculus at sufficient detail, speed, and quantity. Application to the program: https://southcoastbiosciencesdtp.ac.uk/ <https://southcoastbiosciencesdtp.ac.uk/> Project description: https://southcoastbiosciencesdtp.ac.uk/project/integration-of-visual-and-mo… <https://southcoastbiosciencesdtp.ac.uk/project/integration-of-visual-and-mo…> For further information, contact sylvia.schroeder(a)ucl.ac.uk

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13 fully-funded PhD positions for "SmartNets"
by Fleur Zeldenrust Nov. 9, 2020

Nov. 9, 2020

Dear all, The "SmartNets <http://www.smartnets-etn.eu>" consortium is looking for a total 13 PhD students studying network computation. The objective of SmartNets is to provide high-level training into the functioning of biological networks to a new generation of early stage researchers, to provide them with the skills necessary for thriving careers in a burgeoning area that underpins innovative technological development across a range of diverse disciplines. This goal will be achieved by a unique combination of “hands-on” research training, non-academic placements (industrial and non-profit organisations) and courses and workshops on both scientific and complementary -so-called “soft”- skills facilitated by the academic-non-academic composition of the consortium. SmartNets brings together neuroscientists, behavioural and cognitive scientists, physicists, computer scientists, and non-profit stakeholders in order to train the next generation of data scientists that will: 1) develop a fundamental understanding of the relationship between structure and function in biological networks and 2) translate this knowledge into novel technological solutions. The PhD students will develop a unique interdisciplinary set of skills that will make them capable of analyzing networks at many levels and for many systems. There are positions across 5 countries and institutes (Fleur Zeldenrust, Radboud University, the Netherlands; Tansu Celikel, Radboud University the Netherlands; Julijana Gjorgjieva, Max Planck Gesellschaft, Germany; Iain Couzin, Max Planck Gesellschaft, Germany; Yiota Poirazi, Foundation for Research and Technology, Greece; Georges Debrégeas, Sorbonne Université, France; Joni Dambre, Ghent University, Belgium). For more information, please refer to https://www.smartnets-etn.eu/vacancies/ Best regards, Fleur Zeldenrust -- Fleur Zeldenrust Assistant Professor Department of Neurophysiology Donders Institute for Brain, Cognition and Behaviour Faculty of Science, Radboud University Heyendaalseweg 135, postvak 33, kamer 02.204 6525 AJ Nijmegen, the Netherlands tel +31 24 36 53195 fleurzeldenrust.nl

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Master + PhD offer: A computational model of the retino-thalamo-cortical pathway
by Bruno Cessac Nov. 9, 2020

Nov. 9, 2020

The new French Agence Nationale de la Recherche (ANR) project "ShootingStar" aims at studying the unexplored neuroscience and psychophysics of the visual perception of fast (over 100 deg/s) motion, and incorporating these results into models of the early visual system. This project involves the Integrative Neuroscience and Cognition Center (Paris), the Institut des Neurosciences de la Timone (Marseille), the vision Institute (Paris), NeuroPsi (Paris) and the INRIA Biovision team (Sophia-Antipolis). In this context B. Cessac (Biovision) and A. Destexhe (NeuroPsi) aim at developing a retino-thalamico-cortical mean-field model of the primary visual system. We have a funding for a PhD, that can be preceded by a 6 month Master 2 internship. We are seeking talented, curious and open-minded young scientists with strong backgrounds in physics or computer science, strong interests in neuroscience, and solid skills in programming (C++ and Python). The application deadline is 30th December 2020. For more detail please visit: [ https://team.inria.fr/biovision/files/2020/10/2020-internship-M2-shootingst… | https://team.inria.fr/biovision/files/2020/10/2020-internship-M2-shootingst… ] Bruno Cessac Directeur de Recherche Inria-Senior scientist Head of BIOVISION team 2004 Route des Lucioles 06902 Sophia Antipolis Cedex 2 Email: bruno.cessac(a)inria.fr Phone: +33-4-9238-5035 Fax: +33-4-9238-7845 Webpage: https://team.inria.fr/biovision/bruno-cessac/

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Free Online Seminar: How to build your own Connectome?
by Markus Butz-Ostendorf Nov. 6, 2020

Nov. 6, 2020

Dear List, My apologies for cross-postings first of all! I would like to draw your attention to our second online seminar on Connectomics. We have invited our clinical neuroimaging specialist Dr Yong Li from Biomax Brain Science to demonstrate how brain tumors change the human Connectome and how the Connectome heals after tumor surgery. Abstract at the end of this message. The seminar takes place online on Tue, 10 Nov 2020 at 3pm (CET). Participation is free of charge but registration is kindly requested via this link https://www.biomax.com/webinar Explore NICARA yourself by registering a free demo account at https://ssl.biomax.de/nicara/ Kind regards, Markus == *Abstract* Brain damage such as tumors, traumatic brain injury or stroke alter the characteristics of the broader connectome—the map of all neural connections in the brain. A hot topic in ongoing research using the connectome approach is how brain rewiring can compensate for lesion-induced cognitive deficits before and after intervention. The site of a lesion within the connectome is critical. Damage of a node that acts e.g. as an integrator hub of several subnetworks is significantly more detrimental to cognitive functions than a damaged node with low connectivity or existing by-passes. Understanding brain rewiring in response to lesions is the major focus of clinical as well as computational neuroscience projects (such as The Virtual Brain) to pave the way for personalized medicine in neurology and related fields. In this online seminar we will focus on brain tumors and explore their effects on the connectome using NICARA™. A particular image processing pipeline in NICARA, employing the best available open-source tools for image preprocessing and probabilistic fiber tracking, enabled us to automatically extract full brain tractography based structural connectome data from DTI raw images. Besides the pipeline, we will discuss quality control mechanisms especially designed for the assessment of large cohorts. As an example, data set we used the Brain Tumor Connectomics Data (Aerts H et al. Modeling Brain Dynamics in Brain Tumor Patients Using the Virtual Brain. eNeuro. 2018 Jun 4;5(3): ENEURO.0083-18.2018.) and assessed alterations in major white matter fiber tracts before and after surgery. For quantification, provided not only the abstract presentation of digitalized connectome networks in MNI space by a 3D lattice graphs but also offered fiber density maps directly in the patient’s native T1w for a precise judgement of fiber pathway density distribution in the vicinity of, and remote to, a tumor. Our clinical neuroimaging specialist Dr. Yong Li will further show how he uses NICARA to explore, manage and compare extracted connectome networks for group comparisons, individual patient-matched controls comparisons and longitudinal assessments. NICARA is a novel neuroimaging tool created by clinical neuroimaging scientists for clinical and translational neuroscience users. A technical introduction by product manager Dr. Markus Butz-Ostendorf at the end of the seminar on how NICARA stores and retrieves connectome information using of knowledge models will complement the scientific presentation. The seminar will take place on November 10, 2020 at 3:00 p.m. (CET) and will last about 45 minutes. Make use of this opportunity and register today at www.biomax.com/webinar. Next seminar for Pharmacologists : 1/12/2020, 3:00 pm To register, please go to https://www.biomax.com/webinar and request your access data via the webinar page. We are looking forward to meeting you. -- Dr. rer. nat. Markus Butz-Ostendorf Innovation Manager Brain Science Senior Product Manager Biomax Informatics AG Robert-Koch-Str. 2, 82152 Planegg, Germany Registergericht: Amtsgericht München, HRB 134442 Vorstand: Dr. Klaus Heumann Vorsitzender des Aufsichtsrates: Prof. Dr. Hans-Werner Mewes Tel: +49 89 895574-862 Fax: +49 89 895574-825 Email:markus.butz-ostendorf@biomax.com Website:http://www.biomax.com PGP:https://ssl.biomax.de/pgp/

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COSYNE 2021: Abstract submission closes soon; Registration info
by Tomas Hromadka Nov. 5, 2020

Nov. 5, 2020

==================================================== Computational and Systems Neuroscience 2021 (Cosyne) MAIN MEETING ONLINE 24 - 26 February 2021 www.cosyne.org ==================================================== The Cosyne abstract deadline is just one week away! Abstracts are due November 12, 2020 by 11.59pm PST. This year, because of the generous support of donors, we will be able to make registration low- or no-cost for a large number of attendees. Registration will open after final decisions are made on abstracts in January 2021. Registration rates will be $25 for students and postdocs, $100 for all other academics, and $150 for corporate attendees. We will have a fee waiver open for >1000 registrants. We will share additional details as support is finalized in the next few weeks. If you would like help revising your abstract before the deadline, or helping provide feedback to others, please consider joining the Cosyne Mentoring Forum! Rainer Engelken and Stephanie Palmer are organizing a google group to offer positive, constructive critiques of abstracts, along with "pro tips" for conveying the ideas and impact in your work effectively. Please sign up to review abstracts and submit your own for feedback. You can email sepalmer [at] uchicago.edu directly and also join the Cosyne mentoring group. Visit Cosyne.org -> Mailing lists for details on how to join the group. ---------------------------------------------------- COSYNE ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. Cosyne 2021 will take place online, February 24 - 26, 2021. The goal of this year's meeting is to promote early stage investigators. Therefore, there are no invited talks from established researchers. The format will include featured contributed talks chosen from submitted abstracts, and interactive poster-like presentations (short recorded presentation + live interactions). More details to follow. All abstract submissions will be reviewed as in previous years, but reviewing will be fully double blind. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ---------------------------------------------------- COSYNE 2021 TUTORIAL ---------------------------------------------------- Cosyne 2021 main meeting will be preceded by an online Cosyne Tutorial Session led by Kanaka Rajan (Icahn School of Medicine at Mount Sinai) on 23 February 2021. More details will be posted on www.cosyne.org. ORGANIZING COMMITTEE General & Program Chairs: Anne-Marie Oswald (U Pittsburgh) and Srdjan Ostojic (Ecole Normale Superieure Paris) Diversity Chairs: Eva Dyer (Georgia Tech, Emory) and Eric Shea-Brown (U Washington) Publicity Chair: Adam Calhoun (Princeton) Tutorial Chair: Il Memming Park (Stony Brook) Development Chair: Michael Long (NYU) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) PROGRAM COMMITTEE Athena Akrami (UCL) Demba Ba (Harvard) Omri Barak (Technion) Brice Bathellier (Paris) Yoram Burak (Hebrew University) Christine Constantinople (NYU) Saskia De Vries (Allen Institute) Victor de Lafuente (UNAM Mexico) Jan Drugowitsch (Harvard) Tatiana Engel (CSHL) Annegret Falkner (Princeton) Kevin Franks (Duke) Tim Hanks (UC Davis) Ann Hermundstad (Janelia) Andrew Leifer (Princeton) Sukbin Lim (Shanghai) Scott Linderman (Stanford) Mackenzie Mathis (EPFL Lausanne) Ida Momennejad (Microsoft) Cris Niell (U Oregon) Il Memming Park (Stony Brook) Adrien Peyrache (McGill Montreal) Kanaka Rajan (Icahn School of Medicine at Mount Sinai) Robert Rosenbaum (Notre Dame) Christina Savin (NYU) Marshal Shuler (Johns Hopkins) Daniela Vallentin (Max Planck Munich) CONTACT meeting [at] cosyne.org COSYNE MAILING LISTS Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details.

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Grant For Equipping Electrophysiology Labs
by Maryam Nov. 5, 2020

Nov. 5, 2020

Dear researchers, We are happy to announce that in order to accelerate neuroscience researches, ScienceBeam, a designer and manufacturer of neuroscience applications including EEG/ERP, QEEG, Neuro-Biofeedback and animal electrophysiology systems, is providing limited number of grants (30% - 70%) for equipping the neuroscience/electrophysiology laboratories to any young researcher with a well-defined research proposal. We particularly want to encourage outstanding candidates to apply for the ScienceBeam grant. We are also very keen to invite graduate students, who are towards the end of their Ph.D. and desire to return to their country to promote research in the field of Basic and Clinical Neuroscience. This Grant is offered for the below equipment: ➢ Neuro-biofeedback device ➢ Animal electrophysiology system ➢ EEG/QEEG/ERP acquisition system Consider the below terms and conditions: • Researches related to diagnosis and treatment of sensorimotor disorders (Multiple Sclerosis (MS), Alzheimer’s disease, and Parkinson) • Researches related to diagnosis and treatment of psychological and cognitive disorders. • Researches related to diagnosis and treatment of mental and nervous rehabilitation. To apply for any above grants please consider the following points: • Candidates should have a Ph.D. in neuroscience, physiology, pharmacology, psychology, medical engineering, and any related area. • Interested candidates must send an email request to grant(a)sciencebeam.com including their resumes and research proposal. • Candidates should submit a cover letter, a curriculum vitae, a list of publications, and a clear research proposal describing her/his research plan for two next year’s describing why they need our products. • Young candidates should arrange for two letters of recommendation sent on their behalf to grant(a)sciencebeam.com • All materials must be submitted to grant(a)sciencebeam.com until December 1st, 2020. For more information visit the link below: https://sciencebeam.com/mid-autumn-festival/ And submit your resume and research proposals to: grant(a)sciencebeam.com

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Virtual Training Webinar: Introduction to the Neuroscience Gateway Using NEURON and EEGLAB; November 20, 2020; 9:30 AM - 12:30 PM US Pacific Time
by Majumdar, Amitava Nov. 4, 2020

Nov. 4, 2020

Date of Neuroscience Gateway training webinar: Friday, November 20, 2020 Time: 9:30 AM - 12:30 PM US Pacific Time Registration is free (but total registration is limited): https://www.sdsc.edu/event_items/202011_NSGwebinar.html The Neuroscience Gateway (NSG<https://www.nsgportal.org/index.html>) enables large scale modeling and data processing research in neuroscience. NSG provides easy to use web portal based and programmatic access to supercomputing and high throughput computing resources. NSG is free and open to researchers and students. NSG provides about 20 widely used neuroscience software<https://www.nsgportal.org/software.html> for modeling, simulation, data processing, data analysis and machine learning optimally installed on supercomputing and high throughput computing resources. Neuroscientists who plan to use NSG for their research, irrespective of which of the NSG-provided neuroscience software they may use, will find this webinar useful. This webinar will provide training on how to use the NSG and its various features within the context of two widely used neuroscience software for modeling and data processing - NEURON and EEGLAB. The NEURON<https://neuron.yale.edu/neuron/> simulation environment is used by researchers and students worldwide for building and using computational models of neurons and networks of neurons. EEGLAB<https://sccn.ucsd.edu/eeglab/index.php> is an interactive Matlab toolbox for processing continuous and event-related EEG, MEG and other electrophysiological data incorporating independent component analysis (ICA), time/frequency analysis, artifact rejection, event-related statistics. We will also talk about a new supercomputer called Expanse<https://www.sdsc.edu/services/hpc/expanse/> that is becoming available to NSG for running these software. NSG is funded by the US National Science Foundation and National Institutes of Health. Agenda (listed in Pacific Time) * 9:30am - 9:50am: Introduction to NSG * Amit Majumdar, Kenneth Yoshimoto, Subhashini Sivagnanam, San Diego Supercomputer Center, University of California San Diego * 9:50am - 10:10am: Demo of using NSG - via the portal and the programmatic REST access * Subhashini Sivagnanam, San Diego Supercomputer Center, University of California San Diego * 10:10am - 10:35am: Introduction to NEURON * Ted Carnevale, Department of Neurobiology, Yale University * 10:35am - 10:55am: Demo of using NSG for NEURON * Ted Carnevale, Department of Neurobiology, Yale University * 10:55am - 11:10am: Break * 11:10am - 11:30am: Introduction to EEGLAB * Arnaud Delorme, Swartz Center for Computational Neuroscience, University of California San Diego * 11:30am - 12:10pm: Demo of using NSG for EEGLAB * Arnaud Delorme, Swartz Center for Computational Neuroscience, University of California San Diego * 12:10pm - 12:30pm: Q&A For questions, please email nsghelp(a)sdsc.edu -Amit Majumdar NSG Team San Diego Supercomputer Center University of California San Diego

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Two year postdoctoral position in Computational Neuroscience at the European Neuroscience Institute
by Jaramillo, Jorge Hernan Hoyos Nov. 4, 2020

Nov. 4, 2020

Dear Colleagues, The Distributed Neural Dynamics and Control group at the European Neuroscience Institute (ENI) in Göttingen, Germany invites applications for a two year postdoctoral position focused on the simulation of subcortical and cortical dynamics in the context of cognitive function and clinical applications. A quantitative background and programming skills are required (e.g., PhD in Computational Neuroscience, Physics, Engineering), while experience with dynamical systems and previous exposure to neurobiology are preferred. Details of the position and application instructions can be found here: https://www.umg.eu/karriere/stellenangebote/stellenanzeigen-detail/?jobId=3… Application deadline: 15 Nov, 2020 Start: January 2021. Women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment. For any questions about the position, please contact Jorge Jaramillo ( j.jaramillo(a)eni-g.de ). Jorge Jaramillo ENI Group Leader: Distributed Neural Dynamics and Control http://www.eni-g.de/groups/distributed-neural-dynamics

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Postdoctoral Research Assistant in Learning Algorithms for Neurmorphic Computing, Stralsund, Germany
by André Grüning Nov. 4, 2020

Nov. 4, 2020

In the lab of Prof Gruening and within the EU-funded research project "The Human Brain Project" we are offering a 24months fixed-term postdoctoral post, available immediately. ‍The formal job ad can be found at https://www.hochschule-stralsund.de/host/aktuelles/stellenangebote/ (in German only), but feel free to contact me informally in person and in English at <mailto:andre.gruening@hochschule-stralsund.de>. ‍Welcome to the University of Applied Sciences Stralsund! With our campus on the shores of the Baltic Sea, we deliver industrial related studies with excellent job prospects to about 2300 students. Life on our campus is characterised by excellent facilities for both teaching and research and flat hierarchies. The historical centre of the UNESCO world heritage town of Stralsund is within easy reach on foot; maritime water sports, nature and the island of Rugia at our doorstep stand for the highest quality of life. As a certified family-friendly institution we embrace modern life and a proper work-life balance. We are looking forward to meeting people who are keen to strengthen our research team and are advertising the following fixed-term post, subject to confirmation of funding: **Research Assistant (f/m/d) in the EU-funded research project “The Human Brain Project”** The post is available immediately for 24 months (full-time) for a postdoctoral candidate. You will be working in the area of artificial intelligence based on neuromorphic hardware. Neuromorphic hardware is a modern and active area of research with the aim to design devices for artificial intelligence that utilise the spike-based operation of biological nervous systems. The energy consumption of such systems for example promises to be an order of magnitude less than classical AI systems. Neuromorphic systems are being developed within academic research as well as in industry. The work will be carried out in close cooperation with research groups across Europe that are partners in the Human Brain Project, for example groups at the Universities of Heidelberg, Bern or Manchester. **Your job responsibilities include the following:** - Development, implementation and evaluation of learning rules for artificial spiking neural networks with the aim to realise deep learning on neuromorphic hardware. - Contribution to and cooperation within the international framework of the EU/H2020 Flagship project “The Human Brain Project”, see <https://www.humanbrainproject.eu/> in the area described above. - Participation in project management and reporting. **We expect from you:** - A PhD in a relevant area, for example computer science, mathematics, physics, cognitive science and neuroscience or engineering. - Programming experience, for example Python, C, C++. Experience with embedded systems is a plus. - Experience within the area of artificial neural networks. - Keen interest to familiarise yourself with the neuroscientific foundations of the project. - Experience with Unix-like operating systems and tool chains. - Experience in the write up of scientific reports and publications. Experience with LaTeX is a plus. - Experience with presenting research results. - Solid mathematical expertise. - A conscientious, independent and self-motivated attitude towards work. **We offer:** - A diverse, interesting and challenging job at an innovative, modern and family friendly institution in the lively world-heritage and Hanseatic town of Stralsund. - A work contract subject to the collective labour agreement of the public service of the German federal states (TV-L). - Remuneration up to pay grade 13 subject to personal and collective qualifying conditions. - 40 hrs/week; part-time and flexible work is possible. The University of Applied Science Stralsund is keen to increase the proportion of female employees in all areas where they are underrepresented. We therefore expressly invite qualified women to apply. As a certified family-friendly institution we support actions to reconcile family and job. Childcare can be arranged for a potential future interview. At an equal level of professional aptitude, applicants with recognised disabilities or equivalent (please provide evidence) will be preferred. For details of the job description, please contact Prof André Grüning (E-Mail: <mailto:andre.gruening@hochschule-stralsund.de>). According to §68 Abs 3 PersVG M-V, the Employee Committee (Personalrat) gets involved into HR matters for research staff only on the candidate’s request. If desired, please include such request in free form within your application documents. Please send your job application with all relevant documents in a single pdf file to <mailto:bewerbungpersonal@hochschule-stralsund.de> or by mail to Hochschule Stralsund Vertrauliche Personalangelegenheit Dezernat Personal, Haushalt und Controlling Zur Schwedenschanze 15 18435 Stralsund on or before the **deadline of 15.11.2020**. Thereafter applications will be reviewed until the post is filled. The protection of your personal data is very important to us. We will therefore collect, process and utilise any data arising in the application process only in line with the applicable data protection regulations. As application documents cannot be returned, please submit copies only. The University of Applied Sciences Stralsund does not cover any application expenses, including those arising for a potential interview. -- Prof. Dr. André Grüning -- Mathematik und Künstliche Intelligenz Fakultät Elektrotechnik und Informatik Hochschule Stralsund -- Mathematics and Computational Intelligence Faculty of Electrical Engineering and Computer Science University of Applied Sciences Stralsund -- 18435 Stralsund Deutschland/Germany

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NEURON Virtual Course deadline approaching
by Ted Carnevale Nov. 4, 2020

Nov. 4, 2020

*What:* The one-day NEURON course presented as a series of short webinars. *When:* The webinars will run from 1 PM to 3 PM New York time on Monday and Tuesday, Nov. 16 and 17, and on Monday and Tuesday, Nov. 23 and 24, 2020 *Speakers:* Ted Carnevale and Robert McDougal Registration is on a first-come, first-serve basis, and the deadline is Friday, November 13, 2020 at 5 PM New York time. There is no fee, but *total registration will be limited to 40 individuals* in order to be most responsive to participants' questions. For more information and a link to the application form: https://neuron.yale.edu/neuron/static/courses/nrn2020/nrn2020.html

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Deadline extended to Nov. 15th Postdoctoral position for the development of acquisition, storage and processing pipelines for reproducible science building on the BIDS standard.
by Jochem Rieger Nov. 3, 2020

Nov. 3, 2020

Dear colleagues, We have an open post-doc level position 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. We are looking forward to applications, Jochem The Neuroimaging Unit at the School of Medicine and Health Sciences of the Carl von Ossietzky Universität Oldenburg is seeking to fill the position of a *Postdoctoral Research Associate m/f/d *(Salary level E13 TVL, 100%) *for the development of acquisition, storage and processing pipelines for reproducible science building on the BIDS standard.* The position is embedded in a DFG Core Facility grant and is available*as soon as possible*for a duration of three years (with the possibility to extend another two years after successful project evaluation). The position is suitable for part-time work. In a newly funded project we aim to implement data storage and processing pipelines for reproducible science building on the BIDS standard. 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 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. Therefore, 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, demonstrated by the outstanding quality of their doctorate/PhD research and an excellent publication record. Prior experience with the BIDS standard as well as its programming, experience with neuroimaging techniques and data analysis (especially fMR or MEG/EEG) and fluency in English is required. Experience with open science tools and databases, other neurophysiological modalities, as well as knowledge of German are desirable. 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)uni-oldenburg.de <mailto:jochem.rieger@uni-oldenburg.de>). Electronic applications (one pdf file) are preferred. For inquiries please use the same contact. The application deadline is*15th of November 2020*. -- 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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computational neuroscience postdoc at Harvard
by Sam Gershman Nov. 3, 2020

Nov. 3, 2020

The Gershman lab <http://gershmanlab.webfactional.com> at Harvard University is seeking a postdoctoral fellow to work on modeling of the basal ganglia and dopamine function. The postdoc will work closely with experimentalists as part of an NIH-funded U19 grant. Candidates must have a strong background in computational neuroscience and reinforcement learning models. Experience with neural data analysis is desirable but not required. The start date for this position is on or around September 1, 2021, but this can be flexibly adjusted as needed. The position is fully funded for 3 years. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law. Interested applicants should contact Sam Gershman (gershman(a)fas.harvard.edu) along with a CV and list of references.

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faculty position in Computational Approaches to Psychology, Neuroscience & Behaviour at McMaster University
by Sue Becker Nov. 3, 2020

Nov. 3, 2020

Dear colleagues, We have an open faculty position at the Assistant Professor level in Computational Approaches to Psychology, Neuroscience and Behaviour. The candidate could conduct computational research in a wide range of areas. Please see the job advert and the link below for details. https://careers.mcmaster.ca/psp/prepprd/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_APP_SC… Please feel free to share this with others who may be interested. thanks and best wishes, Sue -- Sue Becker, Professor Neurotechnology and Neuroplasticity Lab, PI Dept. of Psychology Neuroscience & Behaviour, McMaster University www.science.mcmaster.ca/pnb/department/becker [1] Tenure-Track Assistant Professor in Computational Approaches to Psychology, Neuroscience & Behaviour McMaster University is located on the traditional territories of the Haudenosaunee and Mississauga Nations, and within the lands protected by the Dish with One Spoon wampum agreement. _Position Description_ The Department of Psychology, Neuroscience & Behaviour at McMaster University in Hamilton, Ontario, Canada invites applications for a full-time, tenure-track faculty position in Computational Approaches to Psychology, Neuroscience & Behaviour at the Assistant Professor level, beginning July 1, 2021. The successful candidate will use computational models to investigate fundamental questions related to psychology, neuroscience, and/or behaviour. Applications from any area that applies computational modelling to understand neural function or behaviour are welcome. Applications from early-career candidates are especially encouraged. Areas of interest include, but are not limited to, big data analytics and machine learning applied to neural or behavioural data, computational models of reward and motivation, computational models of learning and memory, computational models of social interactions, and computational models of spatial navigation. The candidate could apply models to any level of analysis, from neurons to circuits to systems to populations. The Department of Psychology, Neuroscience & Behaviour has long-standing strengths in cognitive and computational neuroscience, sensory systems and behavioural neuroscience, perception, cognition, development, evolutionary psychology, and animal behaviour. We value and encourage collaboration among researchers and educators, and have close ties with the Departments of Biology, Kinesiology, Music, Electrical & Computer Engineering, and Psychiatry & Behavioural Neuroscience. Many of our faculty are affiliated with McMaster's interdisciplinary graduate programs in Neuroscience and Computational Science & Engineering. For more information on the Department, please visit https://www.science.mcmaster.ca/pnb/ McMaster University is a globally renowned institution of higher learning and a research community committed to advancing human and societal health and well-being. Our focus on collaboratively exchanging ideas and approaches makes us uniquely positioned to pioneer ground-breaking solutions to real-world problems leading to a Brighter World. The Faculty of Science works to create global impact by advancing scientific discovery and knowledge, and promoting greater understanding. Our innovative, interdisciplinary approach generates new methods and insights, results, and lasting change. _Commitment to Inclusive Excellence_ The diversity of our workforce is at the core of our innovation and creativity and strengthens our research and teaching excellence. In keeping with its Statement on Building an Inclusive Community with a Shared Purpose, McMaster University strives to embody the values of respect, collaboration and diversity, and has a strong commitment to employment equity. The University seeks qualified candidates who share our commitment to equity and inclusion, who will contribute to the diversification of ideas and perspectives, and especially welcomes applications from First Nations, Métis and Inuit peoples, members of racialized communities ("visible minorities"), persons with disabilities, women, persons who identify as 2SLGBTQ+. We invite all applicants to complete a brief Diversity Survey, which takes approximately two minutes to complete, through McMaster's application submission portal. All questions are voluntary, with an option to decline to answer. All information collected is confidential and will be used to support efforts to broaden the diversity of the applicant pool and to promote a fair, equitable and inclusive talent acquisition process. Job applicants requiring accommodation to participate in the hiring process should contact the Office of the Dean, Faculty of Science at baileyd(a)mcmaster.ca to communicate accommodation needs. _How to Apply_ Complete applications must be made online at https://hr.mcmaster.ca/careers/current-opportunities/ (Faculty Positions, Job 34946) by the deadline to the attention of Dr. Bruce Milliken, Professor & Chair, Department of Psychology, Neuroscience & Behaviour, McMaster University, 1280 Main Street West, Hamilton, Ontario, L8S 4K1. A complete application consists of: * a cover letter (including a statement regarding whether the applicant has Canadian citizenship/permanent resident status (see below)) * a current Curriculum Vitae, and three (3) representative publications (reprints or preprints) * a statement of research interests (2-page maximum) * a statement of teaching philosophy and interests (2-page maximum) * a statement of experience and plans for advancing equity, diversity and inclusion in post-secondary education, community-based or other professional settings (2-page maximum) * the names and full contact information of at least three referees. o Letters of reference are not required and will not be reviewed at the application stage; the Department will request letters of recommendation from referees at later stages of the search process. Review of complete applications will begin December 10, 2020 and continue until the position is filled. All applicants will receive an on-line, system-generated confirmation of receipt of their application; however, only short-listed applicants will be contacted for interviews. Please be advised that any full-time, permanent faculty member of the Department can request confidential access to the application materials, including the reference letters. Progressive policies are in place to assist faculty members achieve a work-life balance. Salary will be commensurate with qualifications and experience. All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority. To comply with the Government of Canada's reporting requirements, the University is obliged to gather information about applicants' status as either Canadian citizens or Permanent Residents of Canada. Applicants need not identify their country of origin or current citizenship; however, all applications, as stated above, MUST include one of the following statements in their application package: "I am/am not a citizen or permanent resident of Canada." Applications that do not include this information will be deemed incomplete. Links: ------ [1] http://www.science.mcmaster.ca/pnb/department/becker

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Fully-funded PhD Positions in Neuroscience in Germany and US | IMPRS for Brain and Behavior
by Ezgi Bulca Nov. 3, 2020

Nov. 3, 2020

Dear all, Our PhD applications are open, please forward it to people who might be interested. 15 fully-funded PhD Positions in Neuroscience | IMPRS for Brain and Behavior Bonn, Germany & Jupiter, Florida (USA) Looking for a PhD position in neuroscience? Apply to our fully-funded, international PhD program in the Max Planck Society! IMPRS for Brain and Behavior is a transatlantic collaboration between the Max Planck associated caesar in Bonn and the University of Bonn, along with the USA partners Max Planck Florida Institute for Neuroscience (MPFI) and Florida Atlantic University. The Projects More than 40 labs with an enormous variety of research projects are seeking outstanding PhD candidates to join their research. See our website (https://www.imprs-brain-behavior.org/research/faculty/) for further information on our faculty and possible doctoral projects. Topics include but are not limited to circuits and behavior, learning and memory, sensory processing, molecular signaling in neurons, nervous system development, biophysics of neurons and glia, and disorders of the nervous system. Successful candidates will work in a young and dynamic, interdisciplinary, international environment, embedded in the local scientific communities in Bonn or Jupiter. Your Profile Proven track record of academic and research excellence. Bachelor's or Master's degree (or equivalent) in life sciences, physics, mathematics, computer science, engineering, or other relevant subject (Degree should be concluded before admission to the PhD, latest by October 2021). Fluency in written and spoken English. Research experience is of advantage. Our Offer Immersion in a stimulating scientific culture of interaction and international cooperation. State-of-the art facilities with novel scientific technologies and advanced infrastructure. Dedicated support and mentoring personnel. Competitive salary funded for the whole duration of studies and no tuition fees. We are committed to diversity and equal opportunity for all applicants. Application deadline: November 15, 2020 https://www.imprs-brain-behavior.org/admissions/application-info/ You will need: CV, letter of motivation, contact info for 2 referees, academic certificates and transcripts. Only online applications accepted. Short-listed candidates will be (virtually) interviewed in January-February. Positions must be started latest in October 2021. If you have any questions, feel free to contact the coordinator Ezgi Bulca at imprs.info(a)caesar.de<mailto:imprs.info@caesar.de> . All the best, Ezgi Bulca Ezgi Bulca IMPRS for Brain & Behavior Coordinator phone +49/228/9656-318 e-mail: ezgi.bulca(a)caesar.de<mailto:ezgi.bulca@caesar.de> www.imprs-brain-behavior.mpg.de<http://www.imprs-brain-behavior.mpg.de> research center caesar center of advanced european studies and research an associate of the Max Planck Society Ludwig-Erhard-Allee 2 53175 Bonn, Germany www.caesar.de<http://www.caesar.de/>

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PhD and post-doctoral positions in computational neuroscience and speech production, University of Geneva, Switzerland
by Timothée Proix Nov. 3, 2020

Nov. 3, 2020

One PhD and one postdoctoral positions are available under the supervision of Timothée Proix (https://timothee.proix.ch) in the Auditory Language Group led by Prof. Anne-Lise Giraud (https://neurocenter-unige.ch/research-groups/anne-lise-giraud) at the University of Geneva, Geneva, Switzerland. The project aims at developing a large-scale model of speech production using intracranial EEG data, and lies at the interface between data analysis, dynamical systems modeling, and machine learning. *Postdoctoral position. *The candidate will contribute to acquisition and analysis of intracranial EEG data and speech recordings. Applicants should have solid bases in maths/physics/bioengineering, prior experience in electrophysiological recordings and data analysis, as well as programming and machine learning skills. *P**hD** position. *The candidate will develop theoretical tools using dynamical systems theory to model neural activity during speech production. Applicants should hold a master degree in maths/physics/informatics/engineering. Previous experience in dynamical systems modeling, neuroscience, and programming will be valued. The research will be performed at the campus Biotech in the university of Geneva, a vibrant and stimulating environment for neuroscience research. The positions are funded by the Swiss National Science Foundation, and salaries are in compliance with their guidelines. The ideal start is early 2021, with some flexibility. Applications will be considered until the positions are filled. To apply, send a motivation letter, CV, and contact information for 2-3 references, as well as any other relevant documents to timothee.proix (at) unige.ch. Best regards, Timothée Proix

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Modellers Workshop for the Brain Dynamics Toolbox, Nov 1-21 2020.
by Stewart Heitmann Nov. 1, 2020

Nov. 1, 2020

Modeller’s Workshop for the Brain Dynamics Toolbox Online Course Nov 1-21, 2020 The Brain Dynamics Toolbox is an open toolbox for simulating dynamical systems in neuroscience. This is a self-paced course is for researchers, students and instructors who wish to use the toolbox to build their own dynamical models. Participants learn the art of programming differential equations in Matlab 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 Enrolments ($125) close 21st November, 2020. Stewart Heitmann | Computational Scientist Victor Chang Cardiac Research Institute | Lowy Packer Building | 405 Liverpool St, Darlinghurst NSW 2010 Australia E: s.heitmann(a)victorchang.edu.au<mailto:s.heitmann@victorchang.edu.au> | @VictorChangInst 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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Gatsby Unit PhD Programme
by Maneesh Sahani Oct. 31, 2020

Oct. 31, 2020

We're currently accepting applications for 2021 entry to the 4-year Gatsby Unit PhD programme at University College London. The Unit studies the fundamental principles of learning, perception and action in brains and machines. Ours is one of the original programmes to bring together neuroscience and machine learning, creating a critical mass for interaction amongst theoreticians in related fields. First-year courses provide training in both fields, after which thesis research may specialise in one or the other or encompass both. Students are able to work closely with colleagues in the Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC, with which we share a purpose-designed building), or the cross-faculty Centre for Computational Statistics and Machine Learning (CSML); and we have links to many world-class research groups in related departments at UCL and beyond. Applicants should have a very strong analytical and mathematical background, a keen interest in neuroscience and/or machine learning and a relevant first degree, for example in Computer Science, Engineering, Mathematics, Neuroscience, Physics, Psychology or Statistics. Full funding is available regardless of nationality. For more details and how to apply, see: http://www.gatsby.ucl.ac.uk/teaching/phd Information about the Unit and our research interests can be found at http://www.gatsby.ucl.ac.uk/about.html, http://www.gatsby.ucl.ac.uk/research.html, and the individual faculty webpages at http://www.gatsby.ucl.ac.uk/Members.html. Applications must be received by 15th November 2020. Please direct enquiries to admissions(a)gatsby.ucl.ac.uk. -- Maneesh Sahani, Ph.D. Professor of Theoretical Neuroscience and Machine Learning, Director, Gatsby Computational Neuroscience Unit UCL, 25 Howland Street, London W1T 4JG

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