October 2021 - Comp-neuro - lists.cnsorg.org

Postdoc position in computational systems neuroscience, Voigts Lab at Janelia

by Jakob Voigts

The Voigts Lab at HHMI Janelia Research Campus is recruiting postdocs. We'll work on how neocortex builds and uses models of the world to give animals complex cognitive abilities. The lab will specifically attempt to go beyond repeated stimulus-response associations, instead using complex, naturalistic spatial behaviors to study flexible cognition. We'll be able to throw significant technology at the problem of combining sufficient measurements with complex naturalistic behavior, but more importantly we'll have to overcome the challenge of modeling, analyzing, and ultimately learning from data when there are few or no trials to average over. We will use experimental approaches, such as designing tasks where mice make decisions based on incomplete knowledge of their environment, as well as developing new computational techniques to test circuit mechanisms in the context of unconstrained behaviours. We're part of the new Mechanistic Cognitive Neuroscience research area at Janelia, where there are unique resources for this type of work. We'll work closely with experimental, theoretical, methods, and machine learning researchers in and outside of Janelia to make this research program possible, collaborative, and fun. To apply, please send a cover letter, brief statement of research interests, and CV to jvoigts(a)mit.edu. Lab website: https://www.voigtslab.org/hiring Twitter ad: https://twitter.com/jvoigts/status/1443196881958363143

Oct. 7, 2021

Postdoc in Machine learning applied to brain activity data

by Erik Fransén

Postdoc in Machine learning applied to brain activity data We are seeking a candidate with a PhD in one of the following areas Machine Learning, Computational Neuroscience, Computer Science or Physics. The project will entail analysis of neural data. We are currently analyzing data from Parkinson’s patients (eye-tracking, MEG) and extracting features to be used for disease diagnostics and prediction. The candidate will work in close collaboration with other postdocs and PIs in the consortium. dBRAIN is an interdisciplinary initiative to better understand neurodegenerative diseases such as Parkinson’s disease and Alzheimer’s disease. We combine brain imaging, machine learning, topological data analysis and computational modelling of biological neural networks at multiple scales to identify causal links among disease biomarkers and disease symptoms. This understanding should improve diagnosis, prediction of the disease progression and suggest better therapies. For more information about the position and to apply, visit the web site: https://www.kth.se/en/api/2.61673/what:job/jobID:432976/where:4/ Deadline for application: 01.Nov.2021 11:59 PM CET Prof. Erik Fransén Dept. of Computational Science and Technology School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm, Sweden https://www.kth.se/profile/erikf https://scholar.google.se/citations?user=VFtGuvcAAAAJ&hl=sv

Oct. 7, 2021

Postdoctoral position at UC San Diego

by Scott Makeig

Drs. Scott Makeig and Arnaud Delorme of the Swartz Center for Computational Neuroscience (SCCN), at UC San Diego, are seeking a postdoctoral researcher to work on a potentially three-year compute-intensive neuroimaging project between SCCN (sccn.ucsd.edu) and the Child-Mind Institute of New York (childmind.org) This Healthy Brain Network (HBN) project (healthybrainnetwork.org) is collecting MR, eye tracking, and high-density EEG data from up to 10,000 children as they perform cognitive tasks and watch movie/animations. Our neuroscientific goal is to combine high-resolution EEG source imaging and neuroinformatic development to model the development of cortical EEG source dynamics and associated eye gaze patterns during viewing of 'moving pictures', and to explore how to model individual differences in these processes. This collaboration, with Dr. Michael Milham (CMI/HBN) and colleagues, seeks to, first, develop a library of terms for the new 3rd-generation Hierarchical Event Descriptor system (HED-3G) (hedtags.org) and open-source tools for annotating events in movies to operate both standalone and in connection with our EEGLAB signal processing environment (sccn.ucsd.edu/eeglab) running on Matlab. Second, after annotating the HBN short films, the HBM data will be exported to OpenNeuro (openneuro.org) under BIDS standards (bids.neuroimaging.io), and will be made available via the forthcoming NEMAR data portal (nemar.org) for processing on the XSEDE high-performance computer network via the Neuroscience Gateway (NSG, nsgportal.org) The HBN M/EEG and behavioral/eye tracking data will be analyzed at the source and source network levels (Akalin Acar & Makeig, 2021) using advanced applications of Independent Component Analysis (Makeig et al., 1996; Delorme et al., 2012), Bayesian source and network clustering using SCALE-optimized forward head models (Akalin Acar et al., 2016, 2020). Tools and pipelines developed in the project will be made available in EEGLAB and through NSG. For more information, see the link at https://www.higheredjobs.com/institution/details.cfm?JobCode=177605674&Titl… -- Scott Makeig, Research Scientist and Director, Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla CA 92093-0559, http://sccn.ucsd.edu/~scott

Oct. 6, 2021

Postdoc in Machine Learning at KTH, Stockholm, Sweden

by Tony Lindeberg

Postdoc in Machine Learning Job description The division of Computational Science and Technology at KTH Royal Institute of Technology in Stockholm, Sweden is seeking a Postdoc in Machine Learning to handle scale-dependent image information in deep networks. In our research, we develop deep networks for processing image data that handle scaling transformations and other image transformations in a theoretically well-founded manner. Our research in this area comprises both theoretical modelling of the influence of image transformations on different architectures for deep networks and the experimental evaluation of such networks on benchmark datasets to explore their properties. The work also comprises the creation of new benchmark datasets, to enable characterization of properties of deep networks that are not covered by existing datasets. For examples of our previous work in this area, see https://www.kth.se/profile/tony/page/deep-networks Within the scope of this postdoc position, you are expected to work on and contribute to the research frontier regarding scale-covariant or scale-equivariant deep networks and/or deep networks parameterized in terms of Gaussian derivatives, on specific research topics that we choose together. The selected candidate will work closely together with the project leader Tony Lindeberg. For further information and information about to how to apply, see https://kth.varbi.com/en/what:job/jobID:432053/ Application deadline: November 1, 2021 [cid:FD2B374F-C472-4895-ADA7-B3CD5419FD22@csc.kth.se] Tony Lindeberg Professor of Computer Science — Computational Vision KTH Royal Institute of Technology Computational Brain Science Lab Division of Computational Science and Technology, CST SE-100 44 Stockholm, Sweden Phone: +46 8 790 6205 https://www.kth.se/profile/tony/

Oct. 6, 2021

Open position in Modeling at the Allen Institute

by Anton Arkhipov

Are you excited about building bio-realistic, large-scale models of brain circuits? Do you enjoy collaborative, team science environment? Do you want to contribute to understanding fundamental mechanisms of brain function? If yes, this job opening might be for you! Check out this Scientist position in the lab of Anton Arkhipov at the Allen Institute in Seattle: https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=1770679 The Scientist will build bio-realistic models and simulate the entrainment of neuronal populations by periodic sensory stimulation at different frequencies. This NIH BRAIN Initiative-sponsored project will leverage our expertise in modeling and unique data on cortex composition and connectivity at the Allen Institute, as well as experimental data from our collaborators at the group of Dr. Li-Huei Tsai at MIT. Relevant resources and publications: * https://portal.brain-map.org/explore/models/mv1-all-layers * https://portal.brain-map.org/explore/connectivity * Iaccarino et al., Nature (2016); Adaikkan et al., Neuron (2019); Martorell et al., Cell (2019) The Allen Institute believes that team science significantly benefits from the participation of diverse voices, experiences and backgrounds. High-quality science can only be produced when it includes different perspectives. We are committed to increasing diversity across every team and encourage people from all backgrounds to apply for this role. Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> alleninstitute.org<https://alleninstitute.org> brain-map.org

Oct. 6, 2021

multiple positions (postdoc/phd/lab technician ) available in Tuebingen, Germany (Human psychophysics, ERP/TMS, fMRI, zebrafish )

by Li Zhaoping

Multiple job openings (PhD, Postdoc and Lab technician positions) are available in the working group/department of Li Zhaoping in the Max Planck Institute for Biological Cybernetics and/or University of Tuebingen. Please follow the links below for the open positions and application procedure. We look forward to receiving your application. • Lab Mechatronics / Programming Assistant https://jobs.tue.mpg.de/en/programs/132 <https://jobs.tue.mpg.de/en/programs/132> • PhD position in Human Psychophysics with TMS and/or EEG https://jobs.tue.mpg.de/en/programs/147 <https://jobs.tue.mpg.de/en/programs/147> • Postdoctoral position in Human Psychophysics with TMS and/or EEG https://jobs.tue.mpg.de/en/programs/148 <https://jobs.tue.mpg.de/en/programs/148> • Postdoctoral position in Human Psychophysics with High field and/or 3T fMRI https://jobs.tue.mpg.de/en/programs/149 <https://jobs.tue.mpg.de/en/programs/149> • PhD position in Zebrafish Neuroscience https://jobs.tue.mpg.de/en/programs/150 <https://jobs.tue.mpg.de/en/programs/150> • Postdoctoral position in Zebrafish Neuroscience https://jobs.tue.mpg.de/en/programs/151 <https://jobs.tue.mpg.de/en/programs/151> Informal inquiries can be addressed to jobs.li(a)tuebingen.mpg.de <mailto:jobs.li@tuebingen.mpg.de>. More information can be obtained from http://www.lizhaoping.org/jobs.html

Oct. 5, 2021

Postdoc Position in Computational Psychiatry/Neuroscience @Columbia

by Kiyohito Iigaya

The Laboratory for Computational Psychiatry and Translational Neuroscience at Columbia University (PI: Kyo Iigaya. https://www.iigayalab.com) is looking for a motivated postdoc to work on research in computational psychiatry, with a particular focus on understanding neural computation underlying maladaptive learning and decision-making under uncertainty. We are a new laboratory working at the interface between computational neuroscience and psychiatry. Our goal is to understand neural computation underlying learning and decision-making across species in normal and abnormal states, and to translate our findings to clinical applications in psychiatry. We use both theoretical and experimental tools, including reinforcement-learning models, (deep, recurrent) neural network models, web-based behavioral experiments, and fMRI. We work closely with basic and clinical laboratories across Columbia, including labs at the Psychiatry Department, the Center for Theoretical Neuroscience, and the Zuckerman Mind Brain Behavior Institute. The ideal candidate has a strong background in the computational modeling of behavioral and neural dynamics, as well as in data analyses using machine learning tools. Experiences in programming online experiments (e.g., Mturk) or administrating fMRI experiments are a plus. The successful candidate should have a Ph.D. in computational neuroscience, physics, computer science, psychology, or related fields. Candidates should send a single PDF file to ki2151(a)columbia.edu with the subject 'Postdoc Application'. The PDF should contain: 1) a CV 2) a summary of previous/current research and a future plan, and 3) the names and contact details of three referees who will be willing to write reference letters. Informal inquiries about the position are encouraged. Application reviews will start on Oct. 15 and will continue until the position is filled. Best wishes, Kyo --------------------------------- Kiyohito Iigaya, Ph.D. ki2151(a)columbia.edu Assistant Professor of Neurobiology (in Psychiatry) Columbia University Irving Medical Center

Oct. 5, 2021

Postdoctoral competition leading to a professorship position in engineering at the University de Sherbrooke

by Jean Rouat

Dear all, The University of Sherbrooke (Quebec, Canada), is currently seeking female doctoral candidates and young doctoral graduates for the Claire-Deschênes postdoctoral fellowship competition. This unique opportunity aims to promote postdoctoral training for women leading to a professorship position in engineering at the University de Sherbrooke. We encourage submissions in the emerging fields of systems-neuroscience, computational neuroscience, and neuromorphic computing. Candidates from other fields of Computer Engineering will also be considered such as software aspects for new architectures (distributed, heterogeneous, neuromorphic and quantum); artificial intelligence; standalone systems; information security; formal methods. Any other relevant field may be considered. The candidate will demonstrate the ability to teach several subjects (C and C++ programming systems, networking and programmable logic) and present their vision for teaching information technology to engineering students. Applications must be received no later than November 18, 2021. Details regarding the application procedure are available at: English: www.usherbrooke.ca/promo/genie/claire-deschenes-en/ French: www.usherbrooke.ca/promo/genie/claire-deschenes/ Do not hesitate to contact me with any questions. Jean Rouat, ing., Ph.D. Full Prof. ECE Dept. App. Comp. Computer Science Dept. Member Institut interdisciplinaire d’innovation technologique - 3IT, https://www.usherbrooke.ca/3it/en/ Associate Member Institut Quantique, https://www.usherbrooke.ca/iq/ Faculty of Engineering, 2500 boul. université Sherbrooke, Québec, J1K 2R1 Member of the Center for Interdisciplinary Research in Music Media and Technology McGill Schulich School of Music, 527 Sherbrooke Street West Montréal, Québec, H3A 1E3 https://www.cirmmt.org Jean.Rouat(a)usherbrooke.ca https://www.gel.usherbrooke.ca/rouat https://www.gel.usherbrooke.ca/necotis https://www.usherbrooke.ca/recherche/specialistes/?getSpecialist=369656&pag… https://scholar.google.com/citations?hl=en&user=LQVQJ50AAAAJ&view_op=list_w…

Oct. 4, 2021

PhD position in theoretical neuroscience in Berlin

by Tilo Schwalger

Dear all, we are looking for a PhD candidate in theoretical neuroscience on the topic "Dynamics and variability of structured spiking neural networks". Although the focus is on the theory side, the project also includes the analysis of neuronal population data and associated problems of data assimilation. Methods will be developed within the frameworks of stochastic processes, statistical physics and nonlinear dynamics. The PhD position in my group will be part of the vibrant computational neuroscience community at the Bernstein Center for Computational Neuroscience Berlin and the Institute of Mathematics (Stochastics and Financial Mathematics) of TU Berlin. The successful candidate should have a degree in mathematics or physics, keen interest in computational neuroscience, expertise in analytical calculations, programming skills (C++ or C, Python or Julia, LaTeX), and excellent command of the English language, and good communication skills. Funding is provided for five years. Applications, including a letter of motivation, a CV, a current copy of academic transcripts, and a list of at least two potential referees should be sent by email to me: schwalger(a)math.tu-berlin.de The deadline for applications is October 15th 2021, however, later applications might also be considered. More information is available under: https://tub.stellenticket.de/en/offers/106202/?locale=en Kind regards, Tilo Schwalger -- Tilo Schwalger, PhD Assistant Professor Bernstein Center for Computational Neuroscience, Berlin Philippstr. 13, Haus 6, 10115 Berlin Room: 202, phone: 0049(0)302093 6788 Technische Universität Berlin Institute of Mathematics Straße des 17. Juni 136, 10623 Berlin Room: 726, phone: +49 (0)30 314-22698 http://page.math.tu-berlin.de/~schwalge tilo.schwalger(a)bccn-berlin.de

Oct. 4, 2021

Last call - Register for free - ISRC Computational Neuroscience, Neurotechnology and Neuro-inspired AI Autumn School (ISRC-CN3)

by Wong-Lin, Kongfatt

LAST CALL: Register for FREE and attend our ISRC Computational Neuroscience, Neurotechnology and Neuro-inspired AI Autumn School (ISRC-CN3) at the following link: https://store.ulster.ac.uk/product-catalogue/faculty-of-computing-engineeri… Student bursaries are available - please state this when registering. This Autumn School (25-29 October) is organised by our Intelligent Systems Research Centre (ISRC) at Ulster University, Magee campus. More details can be found here: https://sites.google.com/view/isrc-cn3/home Please share this with your contacts to help promote the event. If you have any further queries about this event, please contact KongFatt Wong-Lin (k.wong-lin(a)ulster.ac.uk<mailto:k.wong-lin@ulster.ac.uk>). This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

Oct. 3, 2021