- Comp-neuro - lists.cnsorg.org

Postdoc position in comp. neuroscience at the Kavli Institute for Systems Neuroscience, Trondheim

by Soledad Gonzalo Cogno

Dear all, My lab has an opening for a postdoc position. * The position is at the Kavli Institute for Systems Neuroscience (KISN, https://www.ntnu.edu/kavli) at the Norwegian University of Science and Technology (NTNU). The Centre for Algorithms in the Cortex is based at the KISN (https://www.ntnu.edu/kavli/centre-for-algorithms-in-the-cortex) and is a recently established centre of excellence funded for 10 years by the Research Council of Norway. We offer an international and multidisciplinary environment. * The position will be part of my group, and the project is in collaboration with the Moser lab (KISN). The position will be for 2 years. * The successful candidate will combine the analysis of large-scale neural population recordings obtained with Neuropixels probes (the data will be collected by other team members) with the development of computational models. * For more information and details about how to apply please see: https://www.jobbnorge.no/en/available-jobs/job/249793/postdoctoral-fellow * Deadline: December 1st. Finally, I will be at SfN, so if anyone wants to have a chat about the position, please let me know. Best, Soledad --- Soledad Gonzalo Cogno, PhD Group Leader Kavli Institute for Systems Neuroscience Olav Kyrres gate 9 7030 Trondheim, Norway

Nov. 6, 2023

TR: Master Internship

by DEPANNEMAECKER Damien

Hi, Could you distribute this announcement to your students? Thanks a lot! We are seeking 3 master's students to systematically evaluate Virtual Epilepsy Patients (VEP). The VEP workflow employs computational models and machine learning techniques to estimate epileptogenic networks and assist in surgical strategies. In this context, the computational models are personalized whole-brain network models based on the patient's recorded data. VEP represents the first well-established instance of applying the concept of virtual brain twins in a clinical trial, called Epinov. Our team is a world leader in advancing the concept of virtual brain twins. Three topics: 1. Systematic investigation of the sensitivity of the VEP in terms of electrode locations. 2. Systematic investigation of the robustness of the VEP in terms of data features. 3. Systematic investigation of the robustness of the VEP in terms of the size of the windows of seizure analysis. About the ideal candidates: * A strong grasp of mathematics, physics, neuroscience, and computer science, or a genuine enthusiasm for cultivating these skills, is essential. * The ability to quickly acquire proficiency in new computational tools is important, and we will offer comprehensive guidance to support your learning. * Proficiency in coding is a fundamental skill. * Ideally, you are a Master 2 student and would like to complete your 6-month internship in our laboratory. * An added advantage would be a strong motivation to pursue a career in scientific research and aspire to become a Ph.D. candidate. What you will gain at the end of the training (internship): 1. You will have a clear understanding of the concept of virtual brain twins and how to use personalized modeling for clinical applications. 2. You will acquire knowledge of computational modeling. 3. You will become familiar with the various multidisciplinary approaches and perspectives in mathematics, physics, neuroscience, computer science, and medicine. 4. You will develop the ability to conduct systematic analysis. 5. You will be proficient in using VEP pipelines, which integrate numerous analysis and data preprocessing tools and models, and you will also gain the capability to add additional modules. To apply, please send your CV with 2 reference letters and a cover letter to: Huifang Wang, huyfang.wang(a)univ-amu.fr<mailto:huyfang.wang@univ-amu.fr> and Damien Depannemaecker, damien.depannemaecker(a)univ-amu.fr<mailto:damien.DEPANNEMAECKER@univ-amu.fr>

Nov. 3, 2023

NEXTEN Conference

by Goodhill, Geoffrey

NEXTEN: Envisaging Theoretical and Computational Neuroscience for the next 10 years May 16-17, 2024 Washington University in St Louis nexten.wustl.edu Theoretical/Computational Neuroscience is currently undergoing a phase of unprecedented growth. Dramatic advances in the ease with which large-scale datasets of behavior, neural activity, connectomic and gene expression information can be collected have coincided with a revolution in the capabilities of Artificial Intelligence-based algorithms to interrogate such datasets. Concurrently, these new datasets are inspiring exciting new developments in mathematical tools for extracting their underlying structure and relationships. What is the current state of the art in our theoretical/computational understanding of the brain, and what does the future hold? You are invited to join an exciting line-up of leaders in the field to address these questions. Confirmed speakers include Adam Kepecs (WashU) Mackenzie Mathis (EPFL) Terry Sejnowski (Salk Institute) Andreas Tolias (Baylor College of Medicine) Richard Zemel (Columbia University) Abstract submissions for posters are encouraged, and some of these will be selected for short talks. Some travel awards will be available for qualified trainees. The conference is sponsored by the Center for Theoretical and Computational Neuroscience at Washington University in St Louis (ctcn.wustl.edu) It will be held in the new 600,000 sq ft Neuroscience Research Building on the WashU Medical School campus, into which ~100 neuroscience labs have recently moved. The deadline for registration and abstract submission is Wednesday, February 28, 2024. However, due to the size of the auditorium total registrations are limited to 150, and so registration may close earlier than Feb 28 if this limit is reached. Registration and abstract submission will open in January 2024. Please direct any questions to ctcn(a)wustl.edu Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) Washington University School of Medicine 660 S. Euclid Avenue St. Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

Nov. 3, 2023

Pre- or post-doc position available at the Austrian Academy of Sciences in Vienna

by Robert Baumgartner

Dear colleagues, I am currently looking for an enthusiastic researcher to join a highly interdisciplinary team investigating „Dynamic Auditory Predictions in Human and Non-human Primates (Dynamates <https://www.oeaw.ac.at/en/ari/dynamates>)". The project rests on a strong collaboration between cognitive neuroscience, cognitive biology, and computational modeling. The candidate’s main task will be to perform cutting-edge model-based analyses of neurobehavioural data (psychophysics + EEG + eyetracking) that we already collected. The position is to be filled for one year and is available immediately, but open until a suitable candidate is found (1st round of evaluation will start on Nov 22). For pre-doc applications, all details can be found here: https://www.oeaw.ac.at/en/ari/ari/about-ari/news-1/project-scientist-positi… For post-doc applications, follow this link instead: https://www.oeaw.ac.at/en/ari/ari/about-ari/news-1/postdoc-position-f-m-x-f… Please distribute and don’t hesitate to contact me if you have any questions about this position! Very best, Robert — Robert Baumgartner, PhD Senior Research Associate Auditory Cognitive Neuroscience Institut für Schallforschung | Acoustics Research Institute Österreichische Akademie der Wissenschaften | Austrian Academy of Sciences Wohllebengasse 12-14, 1040 Wien, Österreich | Vienna, Austria

Nov. 3, 2023

Faculty opening in Georgia Tech ECE

by Rozell, Christopher J

Hello Comp Neuro! Please share this widely. Georgia Tech’s School of Electrical and Computer engineering (ECE) is hiring faculty in bioengineering with a preference for candidates aligned with an emerging institute for neuroscience, neurotech and society: https://b.gatech.edu/3QIvgnZ. Application review starts Dec 15. The job ad is here: https://bit.ly/3QIUaU8 Even if you're not a traditional ECE, consider applying if you work in topics such as neuroengineering or computational neuroscience. The search is open to all areas, including biosensing, bioelectronic interfacing, imaging, biomedical data analysis and computational modeling. The neuro community in ATL is incredible, combining cutting edge interdisciplinary research with a highly collaborative and friendly culture. There’s a particularly strong computational neuroscience community here. GT is making major investments in growing neuro, and plans to launch a novel PhD program in Neuroscience & Neurotechnology next year. ECE at GT has a long history of applying engineering principles to biotech problems. Faculty share strong collaborations with colleagues developing cutting edge foundational technologies and local clinical partners (e.g., Schools of Medicine at Emory University and Morehouse). Overall, I love working at GT (and especially ECE). Local colleagues are friendly and helpful. GT is ambitious, growing and supportive. Collaboration opportunities are abundant. And the technical expertise is top shelf....there are local experts in any area you need. I also love living in ATL. It is a diverse and vibrant city full of distinct neighborhoods. It's affordable and an easy travel hub. It's a green city that's great for outdoor activity. The food and arts culture is quite good. The weather is temperate much of the year. Come be my colleague! I'm happy to answer any questions. Share with anyone who might be interested. Regards, chris

Nov. 2, 2023

Postdoctoral Research Position at the Australian National University

by Michael McCullough

Jubilee Joint Associate (Postdoctoral Research Fellow) in Computational Neuroscience and AI @ The Australian National University To apply visit: https://jobs.anu.edu.au/jobs/jubilee-joint-associate-postdoctoral-research-… The John Curtin School of Medical Research and the School of Computing at the Australian National University are seeking a Postdoctoral Research Fellow for joint appointment of up to 3 years to work in the areas of computational neuroscience and artificial intelligence. The successful candidate will hold the title of Jubilee Joint Associate and work under the supervision of Jubilee Joint Fellow Dr Michael McCullough in the Computational Neuroscience Group within the Eccles Institute of Neuroscience and Computational Science Cluster within the School of Computing. The Jubilee Joint Associate will undertake independent research within one or more of the following themes: * Topological structures and dynamics of brain activity on neural manifolds. * Network neuroscience and the brain as a complex system. * Computational ethology and modelling behavioural sequences. This is an exciting opportunity to start building research independence, work at the interface of two rapidly evolving fields, and collaborate with leading experts in neuroscience, biomedicine and computer science. For further information, please contact Dr Michael McCullough at michael.mccullough(a)anu.edu.au About You Our ideal candidate will have completed a PhD (or is expecting to be awarded a PhD within six months of appointment commencement) in computational neuroscience, computer science, mathematics, physics, or equivalent qualifications and experience in a related area. Applicants should have an emerging track record of research in the fields of computational neuroscience, artificial intelligence, computational biology or complex systems as evidenced by peer-reviewed publications and conference presentations. Experience in student supervision and mentoring is desirable but not essential. About the John Curtin School of Medical Research The John Curtin School of Medical Research is a leading centre of medical research in Australia. Researchers have a tradition of excellence in addressing the world’s most pressing biomedical issues. The Eccles Institute of Neuroscience is an internationally recognised research institute based in the John Curtin School of Medical Research dedicated to understanding the brain and nervous system. The Institute is home to a diverse community of independent research groups, with a focus on cellular and synaptic physiology, sensory physiology, retina, and muscle. About the School of Computing The School of Computing has a strong foundation in computing and information sciences at ANU. We are a transformative centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and computational science. Our mission is motivated by the need to design, drive and sustain strategic activities via five broad focus areas: Computing Foundations, Computational Science, Intelligent Systems, Data Science and Analytics, and the Software Innovation Institute. Be part of an innovative and forward-looking intellectual agenda, built on a diverse, inclusive culture. The ANU provides attractive benefits and excellent support to maintain a healthy work/life balance and offers generous remuneration benefits, including four weeks paid vacation per year, assistance with relocation expenses and 17% employer contribution to superannuation. This also includes generous parental leave, the possibility of flexible and part time working arrangements, a parental and aged care support program, dual career hire programs, ANU school holiday programs, and childcare facilities on campus. For more information, visit: https://services.anu.edu.au/human-resources Applicant Information In order to apply for this role you will need to upload the following documents via the ANU Jobs portal with your application: A detailed curriculum vitae (CV) including a full publication list and the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees, you can complete these online when prompted in the application form. A statement addressing the selection criteria. A 1-2 page statement outlining a proposed research project. --- Michael H McCullough, PhD [he/him/his] Jubilee Joint Fellow School of Computing & Eccles Institute of Neuroscience, John Curtin School of Medical Research The Australian National University Canberra ACT 2600

Nov. 1, 2023

MindCORE Fellow applications at Penn due Dec. 3

by Maria Geffen

MindCORE Research Fellowship for Postdoctoral Scholars MindCORE <https://mindcore.sas.upenn.edu/> (Mind Center for Outreach, Research, and Education) seeks to recruit outstanding postdoctoral researchers for our Postdoctoral Fellowship. 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 neuroscience, psychology, linguistics, philosophy, computer science, or other cognitive science discipline, the MindCORE Fellowship is a springboard for early researchers as they establish their own research program. Fellows are expected to pursue collaborative relationships with faculty working across disciplines at Penn, including faculty in computational neuroscience <https://cni.upenn.edu/people>. These collaborations may take different forms from engaging in research projects with multiple faculty independently, to generating new collaborative research that brings multiple faculty together, to contributing to interdisciplinary discussion and reading groups. Find a list of current and former MindCORE Fellows here <https://mindcore.sas.upenn.edu/people/>. MindCORE awards ~2 postdoctoral Fellowships per year. Positions may start as early as July 1, 2023. Benefits Fellows receive a competitive salary, relocation allowance, health insurance, plus a $20,000 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. This is campus-based (not remote) position. 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. Penn has a five-year term limit for postdocs, so candidates ideally have 0-2 years of previous postdoc time. · 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/ <https://mindcore.sas.upenn.edu/people/faculty-and-associates/>) with whom the applicant would be interested in collaborating, along with a CV, contact information for two referees, and a cover letter with a 1-2 paragraph diversity statement that includes past experiences and activities, and future plans to advance diversity, equity, and inclusion at Penn. Applicants should be mindful of the interdisciplinary backgrounds of the reviewers and make the proposals clear to readers. · Application documents should be saved with candidate’s Lastname_Firstname.pdf in one PDF file in this order: cover letter, 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-fellowshi… <https://web.sas.upenn.edu/mindcore/post-doctoral-research-fellowship/>. Questions not answered on our FAQ <https://urldefense.com/v3/__https:/bpb-us-w2.wpmucdn.com/web.sas.upenn.edu/…>, can be emailed to pennmindcore(a)sas.upenn.edu <mailto:pennmindcore@sas.upenn.edu>. · Applications due December 3, 2023. Selection All eligible and complete applications will be evaluated by the Selection Committee and are judged on the following criteria: · Scientific excellence · Potential to contribute to or lead within diverse community · Scientific match and interdisciplinarity · Career potential ______________________________ Maria N. Geffen, Ph.D. (she/her) Professor Department of Otorhinolaryngology Department of Neuroscience Department of Neurology Co-Director, Computational Neuroscience Initiative Stemmler Hall G14 3450 Hamilton Walk Philadelphia PA 19104 (215)898-0782 mgeffen(a)pennmedicine.upenn.edu <mailto:mgeffen@pennmedicine.upenn.edu> My zoom room <https://pennmedicine.zoom.us/my/mgeffen?pwd=eWVFbUJFUGRJZ3g1eU9YZEZic2VwZz09> Follow me @geffenlab@mastodon.world <https://mastodon.world/@geffenlab> http://hosting.med.upenn.edu/hearing <http://hosting.med.upenn.edu/hearing> Twitter: @neimarkgeffen <http://twitter.com/neimarkgeffen>

Oct. 31, 2023

Tenure-track position at UT Austin

by Weatherly, Christopher J

The Department of Neuroscience<https://neuroscience.utexas.edu/> at The University of Texas at Austin invites applications for a tenure-track faculty position at the rank of Assistant Professor. We seek outstanding candidates with innovative research proposals in all areas of neuroscience to build upon existing strengths in the fields of learning and memory, computational and theoretical neuroscience, cellular and sensory systems, addiction, developmental neuroscience, biophysics, and synaptic plasticity. This position comprises a highly competitive salary and start-up funds. We expect new faculty to develop and maintain an ambitious research program within a vibrant and collegial academic environment. The department values candidates who have demonstrated a commitment to student and trainee mentorship. Ranked among the top ten public universities and the flagship campus of The University of Texas System, UT Austin is distinguished by a world-class faculty engaged in highly collaborative and interdisciplinary research among programs in Neuroscience, Psychology, Computer Science, Statistics, Mathematics, Engineering, Physics, Chemistry, and Molecular Biosciences. Close ties with the new Dell Medical School provide additional opportunities for collaboration with translational researchers in Neurology, Neurosurgery, and Psychiatry. Full job posting: https://faculty.utexas.edu/career/122847 --- Christopher Weatherly Executive Assistant to Robert Messing, MD Department of Neuroscience - The University of Texas at Austin

Oct. 31, 2023

Call for Participation COMPLEX NETWORKS 2023 Menton France November 28 - 30, 2023

by Hocine Cherifi

*12th** International Conference on Complex Networks & Their Applications* *Menton Riviera* <https://www.menton-riviera-merveilles.co.uk/>*, France *November 28 - 30, 2023 COMPLEX NETWORKS 2023 <http://www.complexnetworks.org/> *Registration:* https://complexnetworks.org/registration/ *See the detailed program at :* https://complexnetworks.org/program/ *KEYNOTE SPEAKERS* Michael Bronstein <https://www.cs.ox.ac.uk/people/michael.bronstein/>* - *Univ. of Oxford UK - *Physics-inspired Graph Neural Networks* <https://complexnetworks.org/keynote-speakers-3/> Kathleen Carley <https://www.cylab.cmu.edu/directory/bios/carley-kathleen.html> - Carnegie Mellon Univ. USA - *Coupling in High Dimensional Networks* <https://complexnetworks.org/keynote-speakers-3/> Manlio De Domenico <https://manliodedomenico.com/> Univ. of Padua Italy: *An Emerging Framework for the Functional Analysis of Complex* <https://complexnetworks.org/keynote-speakers-3/>* Interconnected Systems* Danai Koutra <http://web.eecs.umich.edu/~dkoutra/> - Univ. of Michigan USA - *Advances in Graph Neural Networks: Heterophily and Beyond* <https://complexnetworks.org/keynote-speakers-3/> Romualdo Pastor-Satorras <http://www.fen.upc.edu/~romu/> - UPC Spain - *Opinion Depolarization in Interdependent Topics and the Effects of Heterogeneous Social Interactions* <https://complexnetworks.org/keynote-speakers-3/> Tao Zhou <https://scholar.google.com/citations?user=MXgWgmEAAAAJ&hl=en> - USTC China - *Recent Debates in Link Prediction* <https://complexnetworks.org/keynote-speakers-3/> *TUTORIALS (November 27, 2023)* Tiago de Paula Peixoto <https://skewed.de/tiago> - CEU Vienna Austria - *Network Inference and Reconstruction* <https://complexnetworks.org/tutorials/> Maria Liakata <https://www.turing.ac.uk/people/researchers/maria-liakata> - Queen Mary University of London UK - *Longitudinal language processing from user generated content* <https://complexnetworks.org/tutorials/> Best regards, and looking forward to seeing you at COMPLEX NETWORKS 2023. Hocine Cherifi, Luis M. Rocha COMPLEX NETWORKS 2023 General Chairs Join us at COMPLEX NETWORKS 2023 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science <https://appliednetsci.springeropen.com/> Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

Oct. 31, 2023

Correction: faculty positions in Comp. Neuro & in Complex Systems at UC Davis

by Mark Steven Goldman

Thanks to the community for identifying the website error for the 2 faculty positions at UC Davis (and apologies to those receiving this extra email). The corrected application sites are below: Cognitive Computational Neuroscience: https://recruit.ucdavis.edu/JPF06093 Physics of Complex Systems: https://recruit.ucdavis.edu/JPF06057 Best regards, Mark Goldman

Oct. 31, 2023

NSG Workshop at SfN2023: Neuroscience Gateway (NSG) - Software Dissemination, Large Scale Modeling, Data Analysis on Supercomputers Satellite Workshop - 2023 Society for Neuroscience Annual Meeting

by Majumdar, Amitava

Please join us at the workshop titled: "Neuroscience Gateway - Software Dissemination, Large-Scale Neuronal Modeling, Data Processing on Supercomputers", at SfN2023. Workshop date/time: November 11, 2023; 8:30am - 12:30pm Location: George Washington University, B1220, Science and Engineering Hall, 800 22nd St NW, D.C. https://www.seas.gwu.edu/science-and-engineering-hall There is no charge to attend the workshop but given the limited space, we are requiring interested attendees to please register. Full agenda, with title of talks, speakers, abstracts etc. and link to the registration page is here: https://www.nsgportal.org/SfN2023_NSGWksAgendaWLogo.htm List of talks and speakers: Title: Human Neocortical Neurosolver: A Software Tool for Cell and Circuit Level Interpretation of MEG/EEG signals Stephanie Jones, Nicholas Tolley, Dept of Neuroscience, Brown University Title: NIH BRAIN Initiative (Part I): The convergence of modeling and data science in the NIH BRAIN Initiative Grace C.Y. Penga, Susan N. Wrightb, Hermon Gebrehiwetc NIH BRAIN Initiative (aNational Institute of Biomedical Imaging and Bioengineering (NIBIB), bNational Institute on Drug Abuse (NIDA), c National Institute of Neurological Disorders and Stroke (NINDS) Title: NIH BRAIN Initiative (Part II): Data science across the NIH BRAIN initiative brain circuits projects Manuel Schottdorf1, Guoqiang Yu2, Edgar Y. Walker3 NIH U19 Data Science Consortium (1Princeton, 2Virginia Tech, 3University of Washington) Title: Modeling the development of the visual system: computational challenges vs high-performance computing Ruben A Tikidji-Hamburyan and Matthew T. Colonnese, Department of Pharmacology and Physiology, The George Washington University, Washington D.C., United States Title: NIC: An integrated neuroinformatics tool for studying brain interaction dynamics in neurological disorders Authors: Katrina Prantzalos1, Dipak Upadhaya1, Shafiabadi N1, Gurski N1, Fernandez-BacaVaca G1, Yoshimoto K2, Sivagnanam S2, Majumdar A2, Sahoo SS1 1Case Western Reserve University, University Hospitals Cleveland Medical Center; 2San Diego Supercomputing Center/University of California San Diego Title: Whole brain connectome models mapping brain structure to function to study lifespan ageing and neurological diseases Arpan Banerjee1, Suman Saha1, Samuel Berkins1, Anagh Pathak1, Neeraj Kumar1, Priyanka Chakraborty1, Varun Madan Mohan1, Anirudh Vattikonda1, Amit Naskar1, Dipanjan Roy1,2 1. National Brain Research Centre, NH 8 Manesar, Gurugram 122052, India 2. Indian Institute of Technology Jodhpur, NH 62, Jodhpur, India Title: The role of computational models in experimental research: predictive vs. explanatory power Sherif M. Elbasiouny1,2 and Mohamed H. Mousa1 1Department of Neuroscience, Cell Biology, and Physiology, Boonshoft School of Medicine and College of Science and Mathematics Wright State University, Dayton, OH, United States 2Department of Biomedical, Industrial, and Human Factors Engineering, College of Engineering and Computer Science Wright State University, Dayton, OH, United States Best regards. Workshop Organizers Amit Majumdar, Subha Sivagnanam, Kenneth Yoshimoto, University of California San Diego Ted Carnevale, Yale University

Oct. 30, 2023

SNUFA 2023 program now online

by Friedemann Zenke

Dear all, The SNUFA 2023 workshop program is now online (https://snufa.net/2023/) Like every year, we look forward to two afternoons packed with "spiking networks as universal function approximators." Date and time: Tue, 7 Nov 2023 15:00 - Wed, 8 Nov 2023 18:30 CET Location: online Details: https://snufa.net/2023/ Register (for free) for the online event: https://www.eventbrite.co.uk/e/snufa-2023-tickets-675972952297 Program: November 7th (Times in CET) 14:00 Welcome by the organizers Session 1 (Chair: Charlotte Frenkel) 14:10 Rodolphe Sepulchre, KU Leuven and University of Cambridge (invited) 14:55 Veronika Koren -- Efficient computing of high-dimensional neural representations with biologically plausible E-I spiking networks 15:15 Alessio Quaresima, Hartmut Fitz, Renato Duarte, Peter Hagoort, Karl Magnus Petersson -- Dendrites support formation and reactivation of sequential memories through Hebbian plasticity 15:35 Break (30mins) Session 2 (Chair: Friedemann Zenke) 16:05 Gabriel Ocker, Boston University (invited) 16:50 Maayan Levy & Tim P. Vogels -- Capacity of a spiking network with preserved weight distribution: a game-theory-inspired study 17:10 Flash talks by selected poster presenters 17:30 Break (30mins) 18:00 Poster session (Zoom) November 8th (Times in CET) 14:00 Welcome to day two Session 3 (Chair: Dan Goodman) 14:05 Melika Payvand, INI, Zurich (invited) 14:50 Ilyass Hammouamri -- Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings 15:10 Justus Huebotter, Pablo Lanillos, Serge Thill, Marcel van Gerven -- Training Spiking Neural Networks for Continuous Control with Surrogate Gradients 15:30 Break (30mins) Session 4 (Chair: Emre Neftci) 16:00 Jeff Krichmar, UC Irvine (invited) 16:45 Alexander Efremov, Martino Sorbaro, Pau Vilimelis Aceituno, Benjamin Grewe -- Training fast spiking networks through STDP and control feedback 17:05 Antony W. N’dri, Céline Teulière and Jochen Triesch -- Combining various types of spike timing-dependent plasticity to learn efficient neural codes 17:25 Closing remarks Best wishes from your friendly organizers, Emre Neftci, Charlotte Frenkel, Dan Goodman, and Friedemann Zenke

Oct. 30, 2023

faculty position in Physics of Complex Systems at UC Davis (Applications due Nov. 27)

by Mark Steven Goldman

We are pleased to announce a faculty position in the Physics of Complex Systems, to reside within the UC Davis Department of Physics. The position will focus on discovering physical principles and developing computational models and theoretical methods to predict the behavior and organization of a broad range of complex systems. Computational/theoretical neuroscience is an area of strong interest, and will complement the 6 current computational/theoretical neuroscience faculty at UC Davis, as well as two separate hires going on this year in Computational Cognitive Neuroscience. The application deadline (strict!) is Monday, November 27. More information is provided in the advertisement below: Physics of Complex Systems posting: https://recruit.ucdavis.edu/JPF05981 Guidelines for writing a statement of contributions to diversity, equity, and inclusion can be found here: https://academicaffairs.ucdavis.edu/guidelines-writing-diversity-statement We look forward to your applications, Mark Goldman

Oct. 28, 2023

faculty position in Computational Cognitive Neuroscience at UC Davis (Applications due Nov. 16)

by Mark Steven Goldman

We are pleased to announce a faculty position in Computational Cognitive Neuroscience, to reside at our interdisciplinary Center for Neuroscience. This hire continues our major expansion in Computational Neuroscience, with the hire joining the 6 current computational/theoretical neuroscience faculty at UC Davis, as well as a second hire going on this year in the same area. The application deadline (strict!) is Thursday, November 16. More information is provided in the advertisement below: Cognitive Computational Neuroscience posting: https://recruit.ucdavis.edu/JPF05981 We look forward to your applications, Mark Goldman Randy O'Reilly Rishi Chaudhuri Sergey Stavisky

Oct. 28, 2023

Postdoctoral position in computational neuroscience methods (NEURON simulator)

by McDougal, Robert

The McDougal lab at Yale University seeks one or two highly motivated Postdoctoral Associates to advance the frontiers of neuroscience simulation. In addition to papers, etc, this work will be shared with the community in the form of enhancements to the NEURON<https://nrn.readthedocs.io/> simulator. Related lab projects include: combining machine learning and mechanistic modeling, multisimulation (interoperation with other tools), high-resolution simulations of subcellular chemical dynamics, and algorithm development (GPUs, initialization, performance enhancements). The Postdoctoral Associate will lead one or more of these projects and will present this work at conferences, in publications, and in the form of open-source software. Mentorship and career development opportunities will be tailored to the Postdoctoral Associate’s interests. Applicants should hold or be about to complete a PhD in a quantitative field (e.g., mathematics, computer science), neuroscience, or a related field. Strong programming skills in Python and C++ are essential, as is scientific excellence as demonstrated through publication history. Experience with the NEURON<https://nrn.readthedocs.io/> simulator, in machine learning, numerical methods, and/or GPU computing is desirable, but not required. The successful candidate will join the McDougal lab (Biostatistics/Health Informatics, Computational Biology and Bioinformatics, Wu Tsai Institute, Biomedical Informatics and Data Science). We are major contributors to the development of the NEURON simulator and run the ModelDB<https://modeldb.science/> model discovery platform. We additionally have a wide-range of collaborations at Yale and beyond, applying informatics methods to solve biomedical challenges. Please apply online: http://apply.interfolio.com/135170<https://apply.interfolio.com/135170>. Interested individuals should submit a CV, cover letter, and contact information for three professional references. Review of applications will begin immediately and will continue until the position is filled. Initial appointment is for one year with the possibility of renewal. Questions regarding this position should be directed to Dr. Robert McDougal at: robert.mcdougal(a)yale.edu<mailto:robert.mcdougal@yale.edu> Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.

Oct. 27, 2023

[Job] Brown University – Tenure-Track Position in Neuroscience

by Theresa Desrochers

Dear colleagues, Please see the below ad for a Tenure Track position in the Department of Neuroscience at Brown University and feel free to distribute. Thank you. Brown University – Tenure-Track Position in Neuroscience The Department of Neuroscience at Brown University invites applications from rising neuroscientists for a tenure-track Assistant Professor position. Applicants should have a Ph.D. and/or M.D., postdoctoral experience, and a record of research excellence. We are particularly interested in candidates who share our commitment to increasing diversity and inclusion in neuroscience. Applicants working in all areas of neuroscience, including non-human primate studies, are encouraged to apply. The successful applicants will establish a vibrant research program and participate in the education of undergraduate, graduate, and/or medical students. The Department (http://neuroscience.brown.edu <http://neuroscience.brown.edu/>) excels in research and teaching across the full spectrum of contemporary neuroscience through its shared values: innovation, collaboration, equity in STEM, and committed mentorship. The department is in the Division of Biology and Medicine (https://biomedical.brown.edu <https://biomedical.brown.edu/>) and affiliated with the Warren Alpert Medical School ( https://medical.brown.edu <https://medical.brown.edu/>) and the Carney Institute for Brain Science (https://www.brown.edu/carney <https://www.brown.edu/carney/>), which fosters interdisciplinary studies of mind and brain across Brown. A list of other faculty searches in brain science at our institution can be found at https://www.brown.edu/carney/open-faculty-searches For full consideration, applications should be submitted by December 1st and should include a cover letter; curriculum vitae; description of research plans (3 pg. max); diversity and inclusion statement (1 pg); teaching statement (1 pg); and 3 publications (with a brief statement regarding significance of the candidate’s contribution to each). Candidates should have three letters of reference submitted before the application deadline. Letters of support should speak to the candidate’s potential as a scholar, colleague, mentor and teacher. Apply at https://apply.interfolio.com/132440. Equal Employment Opportunity Statement As an EEO/AA employer, Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a person’s race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law, and caste, which is protected by our University policies. ~Theresa

Oct. 26, 2023

Faculty position at Washington University in St Louis

by Goodhill, Geoffrey

Assistant Professor Position in Computational Neuroscience The Department of Neuroscience at Washington University School of Medicine (https://neuroscience.wustl.edu<https://neuroscience.wustl.edu/>) is currently recruiting investigators with the passion to create knowledge, pursue bold visions, and challenge canonical thinking as we expand into our new 600,000 sq ft purpose-built neurosciences research building. We are now seeking a tenure-track investigator at the level of Assistant Professor to develop an innovative research program in Theoretical/Computational Neuroscience. Applicants should have a strong background in physics, mathematics, engineering, computer science, or a related field and hold a PhD. The successful candidates will join a thriving theoretical/computational neuroscience community at Washington University, including the new Center for Theoretical and Computational Neuroscience. In addition, the Department also has world-class research strengths in systems, circuits and behavior, cellular and molecular neuroscience using a variety of animal models including worms, flies, zebrafish, rodents and non-human primates. We are particularly interested in outstanding researchers who are both creative and collaborative. The Department’s focus on fundamental neuroscience, outstanding research support facilities, and the depth, breadth and collegiality of our culture provide an exceptional environment to launch your independent research program. To apply, submit an application packet including a cover letter describing your interest in our Department, curriculum vitae, a research statement (of no more than 3 pages) to the Faculty Opportunities Portal and arrange for three confidential letters of recommendation to be sent to neurosearch(a)wustl.edu c/o Professor Linda J. Richards, Head, Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110. The review of applications will begin on November 6, 2023. Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 660 S. Euclid Avenue St. Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

Oct. 26, 2023

Apply to the Bertalanffy Doctoral Student Award 2024

by Amira Mouakher

*DOCTORAL STUDENT AWARD* <https://iutdijon.u-bourgogne.fr/ccs-france/doctoral-student-award/>** *@ **FRCCS 2024* <https://iutdijon.u-bourgogne.fr/ccs-france/>** The Bertalanffy Doctoral Student Award is part of CSS FRANCE's <https://www.cssfrance.org/>global initiative to support early career researchers in their quest to advance the frontiers of science across a broad range of disciplines. It is in place to recognize early career contributions and leadership in research in Complex Systems related fields. It is awarded to young researchers enrolled in a Ph.D. program. This competition consists in presenting your research in simple terms in a five minutes video to a lay audience. Your presentation should be clear, concise, and convincing. *Eligibility* * Eligible candidates must: * Be under 30. * Be enrolled in a Ph.D. program in whatever discipline Complex Systems covers. * Commit to presenting their work at the French Regional Conference on Complex Systems <https://iutdijon.u-bourgogne.fr/ccs-france/>FRCCS <https://iutdijon.u-bourgogne.fr/ccs-france/>if awarded * Accept and authorize the use and distribution of videos and photos related to the competition, including on social networks * Have informed their thesis supervisor of their participation in the competition * Present a sufficiently advanced state of the doctoral research project ** *Important dates* ·Application deadline: *March 04, 2024* ·Notification to applicants: *April 02, 2024* *Application Instruction* The application package must contain the following: * A CV of the candidate (maximum two pages) * A summary (maximum two pages) presenting the research work, its context, main contribution, and scientific impact. * A 5 minutes video presentation. *Application Process* Applications are made via a google form on the online portal. <https://docs.google.com/forms/d/e/1FAIpQLSe49vdpumpzjVJJ7_mWgC5zKSLS1AqelD_…> *Note that Google Forms requires you to be signed in to a Google account to upload files and submit your responses. * ** *Selection Process* FRCCS Award Committee will evaluate all qualified candidates and propose the winner tothe Advisory Board of CSS FRANCE, which will make the final decision. *Award Procedure* A prize of 500 euros is awarded to the winner. The award also covers the registration fee of FRCCS <https://iutdijon.u-bourgogne.fr/ccs-france/>2024 to facilitate attendance at the conference. The awardee will be recognized and present his (her) work at FRCCS <https://iutdijon.u-bourgogne.fr/ccs-france/>2024. For more information contact: hocine.cherifi(a)gmail.com <mailto:hocine.cherifi@gmail.com>

Oct. 26, 2023

Allen Institute Modeling Software Email List

by Anton Arkhipov

Dear Colleagues, Would you like to know what's new in our modeling work and software modeling tools at the Allen Institute? If yes, please sign up here<https://secure2.convio.net/allins/site/SSurvey?amp;ACTION_REQUIRED=URI_ACTI…> to receive announcements a few times a year. We will be sharing messages about * Latest research on modeling brain circuits at the Allen Institute * New features and capabilities of BMTK<https://alleninstitute.github.io/bmtk/>, SONATA<https://github.com/AllenInstitute/sonata/>, and VND<https://www.ks.uiuc.edu/Research/vnd/> * Information about new job openings and important events at the Allen Institute We look forward to keeping in touch with you! Best regards, Anton. Anton Arkhipov Investigator, Allen Institute antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> alleninstitute.org<https://alleninstitute.org> brain-map.org<https://portal.brain-map.org/>

Oct. 26, 2023

Postdoctoral Research Associate Position in Computational Neuroscience (Computational Modelling of Decision Making)

by Wong-Lin, Kongfatt

Applications are invited for an externally funded Postdoctoral Research Associate position at the Intelligent Systems Research Centre (ISRC) in Ulster University, UK. The successful candidate will develop and apply computational modelling, and theoretical and analytical techniques to understand brain and behavioural data across primate species, and to apply biologically based neural network modelling to elucidate mechanisms underlying perceptual decision-making. The duration of the position is 24 months, from January 2024 till end of 2025. The personnel will be based at the ISRC in Ulster University, working with Prof. KongFatt Wong-Lin and his team, while collaborating closely with international collaborators in the USA and the Republic of Ireland, namely, Prof. Michael Shadlen at Columbia University (USA), Prof. Stephan Bickel at Northwell-Hofstra School of Medicine (USA), Prof. Redmond O'Connell at Trinity College Dublin (Ireland), Prof. Simon Kelly at University College Dublin (Ireland), and Prof. S. Shushruth at University of Pittsburgh (USA). The ISRC is dedicated to developing a bio-inspired computational basis for AI to power future cognitive technologies. This is achieved through understanding how the brain works at multiple levels, from cells to cognition and apply that understanding to create models and technologies that solve complex issues that face people and society. All applicants should hold a degree in in Computational Neuroscience, Computational Biology, Neuroscience, Computing, Engineering, Mathematics, Data Science, Physical Sciences, Biology, or a cognate area. Apply online: https://my.corehr.com/pls/coreportal_ulsp/erq_jobspec_version_4.display_for… Closing date for receipt of completed applications: 8th November, 2023. Job Ref: 023762. For any informal enquiries regarding this position, please contact KongFatt Wong-Lin; email: k.wong-lin(a)ulster.ac.uk ; website: https://www.ulster.ac.uk/staff/k-wong-lin 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. 25, 2023

Postdoctoral Fellow Positions at CCN, Flatiron Institute

by Matthew Turner

*Flatiron Research Fellow (Postdoctoral Fellow), NeuroAI and Geometric Data Analysis* *Description* Applications are invited for Flatiron Research Fellowships (FRF) in the NeuroAI and Geometric Data Analysis Group (SueYeon Chung, PI) at the Center for Computational Neuroscience at the Flatiron Institute of the Simons Foundation, whose focus is on understanding computation in the brain and artificial neural networks by: (1) analyzing geometries underlying neural or feature representations, embedding and transferring information, and (2) developing neural network models and learning rules guided by neuroscience. To do this, the group utilizes analytical methods from statistical physics, machine learning theory, and high-dimensional statistics and geometry.The CCN FRF program offers the opportunity for postdoctoral research in areas that have strong synergy with one or more of the existing research groups at CCN or other centers at the Flatiron Institute. In addition to carrying out an independent research program, Flatiron Research Fellows are expected to: disseminate their results through scientific presentations, publications, and software release, collaborate with other members of the CCN or Flatiron Institute, and participate in the scientific life of the CCN and Flatiron Institute by attending seminars, colloquia, and group meetings. Flatiron Research Fellows may have the opportunity to organize workshops and to mentor graduate and undergraduate students. The mission of CCN is to develop theories, models, and computational methods that deepen our knowledge of brain function — both in health and in disease. CCN takes a “systems" neuroscience approach, building models that are motivated by fundamental principles, that are constrained by properties of neural circuits and responses, and that provide insights into perception, cognition and behavior. This cross-disciplinary approach not only leads to the design of new model-driven scientific experiments, but also encapsulates current functional descriptions of the brain that can spur the development of new engineered computational systems, especially in the realm of machine learning. CCN’s current research groups include computational vision <https://www.simonsfoundation.org/flatiron/center-for-computational-neurosci…> (Eero Simoncelli <https://www.simonsfoundation.org/people/eero-p-simoncelli/>, PI), neural circuits and algorithms <https://www.simonsfoundation.org/flatiron/center-for-computational-neurosci…> (Dmitri ‘Mitya’ Chklovskii <https://www.simonsfoundation.org/people/dmitri-mitya-chklovskii/>, PI), neuroAI and geometric data analysis <https://www.simonsfoundation.org/flatiron/center-for-computational-neurosci…> (SueYeon Chung <https://www.simonsfoundation.org/people/sueyeon-chung/>, PI), and statistical analysis of neural data <https://www.simonsfoundation.org/flatiron/center-for-computational-neurosci…> (Alex Williams <https://www.simonsfoundation.org/people/alex-williams/>, PI), and is planning to expand the number of research groups in the near term. Interested candidates should review the CCN public website for specific information on CCN’s research areas. Applicants who are interested in a joint appointment between two CCN research groups should submit the same application to both groups, noting the dual application in their research statement. Please note that Alex William’s statistical analysis of neural data group is not recruiting at CCN in 2023. FRF positions are two-year appointments and are generally renewed for a third year, contingent on performance. FRF receive a research budget and have access to the Flatiron Institute’s powerful scientific computing resources. FRF may be eligible for subsidized housing within walking distance of the CCN. Review of applications for positions starting between July and October 2024 will begin in November 2023. For more information about life at the Flatiron Institute, visit https://www.simonsfoundation.org/flatiron/careers. Qualifications *MINIMUM QUALIFICATIONS* Education PhD in computational neuroscience or a relevant technical field such as electrical engineering, machine learning, statistics, physics, or applied math. Related Skills & Other Requirements - Flexible multi-disciplinary mindset; - Strong interest and experience in the scientific study of the brain; - Demonstrated abilities in analysis, software and algorithm development, modeling and/or scientific simulation; - Ability to do original and outstanding research in neuroscience; - Ability to work well independently as well as in a collaborative team environment. Selection Criteria: Applicants must have a PhD in a related field or expect to receive their PhD before the start of the appointment. Applications will be evaluated based on 1) past research accomplishments 2) proposed research program 3) synergy of applicant’s expertise and research proposal topic with existing CCN staff and research programs. *COMPENSATION AND BENEFITS* The full-time annual compensation for this position is $90,000. In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package. Application Instructions - Required Application Materials - Cover letter (optional); - Curriculum Vitae with bibliography; - Research statement of no more than three pages describing past work and proposed research program. Applicants are encouraged to discuss the broad impact of the past and proposed research on computational neuroscience. Applicants who are interested in a joint appointment between two CCN research groups should submit the same application to both groups, noting the dual application in their research statement. - Three (3) letters of recommendation *For more information and to apply, please visit: https://apply.interfolio.com/134616 <https://apply.interfolio.com/134616>* Cordially, MATTHEW B. TURNER any pronouns Senior Manager for Center Administration | Center for Computational Neuroscience Co-Chair, Flatiron Institute Professional Development Committee Co-Chair, Pride@SF Employee Resource Group Flatiron Institute 917.363.1095 mobile mturner(a)flatironinstitute.org 162 Fifth Avenue, New York, NY 10010 simonsfoundation.org/flatiron <https://www.simonsfoundation.org/flatiron/>

Oct. 25, 2023

Postdoc positions in Neuro-AI at the University of Oregon

by James Murray

Postdoc positions are available at the University of Oregon’s NeuroAI Center (ion.uoregon.edu/neuroai<https://urldefense.com/v3/__https://ion.uoregon.edu/neuroai__;!!K-Hz7m0Vt54…>) in the Murray and Mazzucato labs. In our research, we seek to uncover the principles of how the brain performs computations related to sensory perception, decision making, and motor control. While previous experience in computational neuroscience and machine learning are desirable, applicants from other quantitative fields (e.g. math, physics, statistics, computer science) who are eager to learn about neuroscience are highly encouraged to apply as well. Some of the scientific questions that motivate our work are * How do different regions of the brain interact to learn new motor skills? * What are the neural mechanisms underlying optimal performance in complex cognitive tasks? * What are the principles that enable brains and artificial agents to learn efficiently from experience while minimizing forgetting? * How can neural circuits generate the complex dynamics enabling naturalistic animal behavior? Our labs aim at building mechanistic models of brain function grounded in a combination of theoretical approaches, neural network-based simulations, and statistical analysis of experimental data. The candidate will have the opportunity to collaborate with a large network of experimental collaborators at University of Oregon and at other institutions with expertise in sensory processing (visual, auditory, and olfactory), motor control, naturalistic behavior, neural engineering, and brain-computer interfaces. The Oregon NeuroAI Center is part of the Institute of Neuroscience at the University of Oregon (ion.uoregon.edu<https://urldefense.com/v3/__http://https.ion.uoregon.edu__;!!K-Hz7m0Vt54!jj…>), a major hub for systems and theoretical neuroscience research. The successful candidate will also join our International Network for Bio-Inspired Computing (in-bic.org<https://urldefense.com/v3/__http://www.in-bic.org__;!!K-Hz7m0Vt54!jjW_DXqAj…>), a worldwide consortium of NeuroAI groups that provides trainees with an extended network for collaboration, including trainee exchanges, workshops, and schools. The University of Oregon is located in Eugene, Oregon, a vibrant college town in the Pacific Northwest with ample cultural offerings and phenomenal access to outdoor recreation. We offer a competitive salary commensurate with the candidate’s experience, and remote work arrangements may be considered. Our Institute strongly advocates for inclusivity in science, and we encourage applications from underrepresented groups. Required Qualifications Successful candidates will have a PhD in a quantitative field, including physics, neuroscience, mathematics, statistics, computer science, or related fields. Applicants should have a strong quantitative background including at least some coding experience. Application The application can be found here: https://academicjobsonline.org/ajo/jobs/26101<https://urldefense.com/v3/__https://academicjobsonline.org/ajo/jobs/26101__…>. Application reviews will start on December 1st and will continue until the position is filled. Inquiries can be sent to James Murray (jmurray9 at uoregon dot edu) or Luca Mazzucato (lmazzuca at uoregon dot edu). Applications should include a CV, two-page statement of research interests, a one-page DEI statement (guidelines<https://urldefense.com/v3/__https://provost.uoregon.edu/sites/provost1.uore…>), and contact information for three letters of reference. -- James M Murray Assistant Professor Depts. of Biology and Mathematics and Institute of Neuroscience University of Oregon murraylab.uoregon.edu<https://urldefense.com/v3/__https://murraylab.uoregon.edu__;!!K-Hz7m0Vt54!j…>

Oct. 25, 2023

Postdoctoral position in Computational Neuroscience to study role of sleep in memory and learning

by Bazhenov, Maksim

The Bazhenov Lab at the University of California, San Diego, is currently seeking to fill a postdoctoral position to study the role of sleep in memory, learning, and forgetting. This exciting project involves close collaboration with experimental labs. The ultimate goal of the work is to advance our understanding of how the human and animal brain learns from experience and how sleep contributes to memory consolidation for recent learning. The successful candidate will be responsible for designing anatomically realistic biophysical brain network models based on experimental data. These models will be instrumental in uncovering network dynamics involved in memory consolidation, reconsolidation and forgetting during sleep, as well as guiding data analysis and generating innovative experimental predictions. Additionally, depending on the candidate's interests and experience, there may be opportunities to participate in other related lab projects. These projects include developing whole human brain model based on Human Connectome Project (HCP) data and mouse brain model based on the Allen Mouse Brain Connectivity Atlas. Other projects involve applying principles learned from neuroscience to artificial intelligence, focusing on areas such as continuous learning, knowledge generalization, and adaptation to novel situations and contexts. An ideal candidate should have a background in computational/theoretical neuroscience and neural modeling. Programming experience with C/C++ is required, and knowledge of Python and PyTorch is a significant plus. The University of California offers excellent benefits, and the salary will be based on research experience. Applicants should send a brief statement of research interests, a CV, and the names of three references to Maxim Bazhenov at mbazhenov(a)ucsd.edu<mailto:mbazhenov@ucsd.edu> Maxim Bazhenov, Ph.D. Professor, Department of Medicine, Institute for Neural Computation, UCSD, School of Medicine http://www.bazhlab.ucsd.edu/

Oct. 23, 2023

New doctoral program for Computational Neuroscience at Penn

by Maria Geffen

The Computational Neuroscience Initiative <https://cni.upenn.edu/> at the University of Pennsylvania is pleased to announce a new program for Interdisciplinary Training in Computational Neuroscience (ITCN) <https://cni.upenn.edu/education> at the doctoral level. The goal of the ITCN is to train a new generation of scientists to make quantitative links between properties of the brain and properties of the mind. ITCN trainees will learn to use computational methodology to interpret experimental results; build predictive models of brain function that inform the design of the experiments; and support an ever-growing list of neuroscience-related applications, from brain-machine interfaces in the clinic to cutting-edge forms of artificial intelligence. The ITCN brings together students and faculty <https://www.cni.upenn.edu/people> from Penn’s PhD programs in Neuroscience <https://www.med.upenn.edu/ngg/> (Biomedical Graduate Studies <https://www.med.upenn.edu/bgs/>, Perelman School of Medicine), Bioengineering <https://be.seas.upenn.edu/doctoral/> (School of Engineering and Applied Sciences), Physics <https://www.physics.upenn.edu/graduate/> (School of Arts and Sciences), and Psychology <https://psychology.sas.upenn.edu/graduate> (School of Arts and Sciences). To join the ITCN, students first apply to one of those “home” PhD programs. Once admitted, students then typically apply to the ITCN before starting classes in their first year. Those selected meet with the ITCN Advisory Committee, both individually and as a group, to develop individualized training plans that meet the goals and requirements of the ITCN and each student’s home program. These plans include coursework, research, and other activities, that aim to build both expertise in computational neuroscience and a sense of community in the ITCN. Details are found here <https://cni.upenn.edu/education>. CNI/ITCN Leadership: Vijay Balasubramanian <http://www.sas.upenn.edu/~vbalasub/public-html/Home.html> Director (Physics): Theoretical and computational neuroscience Maria Geffen <https://hosting.med.upenn.edu/hearing/>, Co-director (Otorhinolaryngology, Neuroscience, Neurology): Neuronal circuits for auditory perception and learning: how our brain makes sense of sounds Joshua Gold <http://www.med.upenn.edu/goldlab/>, Co-director (Neuroscience): Mechanisms of decision-making and learning the primate brain CNI/ITCN Faculty: Michael Arcaro <https://psychology.sas.upenn.edu/people/michael-arcaro> (Psychology): Mammalian vision, development of sensory systems Geoffrey Aguirre <https://cfn.upenn.edu/aguirre/wiki/> (Neurology): Cortical organization for visual perception and recovery of visual function Victor Barranca <http://www.swarthmore.edu/NatSci/vbarran1/index.html> (Mathematics and Statistics, Swarthmore): Mathematical neuroscience and neuronal dynamics Danielle Bassett <http://www.danisbassett.com/> (Bioengineering, CIS, Neurology): Complex Systems, Network Science, Computational Neuroscience, Systems Biology, Dynamical Systems, Soft Materials, Behavioral Network Science Michael Beauchamp <https://www.med.upenn.edu/beauchamplab/> (Neurosurgery): Neural mechanisms for multisensory integration and visual perception in human subjects Vikas Bhandawat <https://drexel.edu/biomed/research-and-design/labs-research-groups/bhandawa…> (Biomedical Engineering, Drexel): How animal behavior emerges from the complex interaction amongst the animal's nervous systems, their muscle-body dynamics and their environment David Brainard <http://color.psych.upenn.edu/brainard/> (Psychology): Human vision, machine vision, and computational modeling of visual processing Johannes Burge <https://psychology.sas.upenn.edu/people/johannes-burge> (Psychology): Computational modeling, perceptual systems, vision Yale Cohen <http://auditoryresearchlaboratory.weebly.com/> (Otorhinolaryngology, Bioengineering, Neuroscience): Understanding the representation of auditory information in the cortex, how auditory information is integrated with cognitive processes, and how auditory and visual information is combined to form unified sensory percepts Long Ding <http://www.med.upenn.edu/dinglab/> (Neuroscience): Electrophysiology; psychophysics; basal ganglia; frontal cortex; perceptual decisions Russell Epstein <http://www.psych.upenn.edu/epsteinlab/> (Psychology): Visual recognition and spatial cognition in humans Marc Fucillo <https://www.med.upenn.edu/fuccillolab/> (Neuroscience): The synaptic and circuit mechanisms of behavioral control Ethan Goldberg <https://goldbergneurolab.com/> (Neurology, CHOP): Ion channel, cellular, and synaptic neurophysiology; Neurogenetics; Neurodevelopmental disorders; Neurobiology of disease Joshua Goldwyn <https://www.swarthmore.edu/joshua-goldwyn> (Mathematics & Statistics, Swarthmore): Auditory neuroscience and the perception of sound Jay Gottfried <https://hosting.med.upenn.edu/gottfriedlab/> (Neurology, Psychology): Using multidisciplinary techniques to elucidate perception, learning, and memory through the lens of the olfactory system Casey Halpern <https://www.med.upenn.edu/apps/faculty/index.php/g275/p2009396/> (Neuroscience): Preclinical studies and developing clinical trials to expand indications for deep brain stimulation and other novel brain surgical therapies Joseph Kable <http://www.psych.upenn.edu/kable_lab/Joes_Homepage/Home.html> (Psychology): Psychological and neural mechanisms of human decision-making Michael Kahana <http://memory.psych.upenn.edu/Main_Page> (Psychology): Human episodic memory for verbal, visual and spatial information Eleni Katifori <http://web.sas.upenn.edu/katifori/> (Physics): Topology, function and development of biological distribution networks, elasticity and mechanics of thin cells, pattern formation Konrad Kording <http://koerding.com/> (Bioengineering, Neuroscience): Data that matters Hualou Liang <http://drexel.edu/biomed/faculty/core/LiangHualou/> (Biomedical Engineering, Drexel): Analysis of complex, high-dimensional neuroscience data Minghong Ma <https://www.med.upenn.edu/apps/faculty/index.php/g309/p42685> (Neuroscience): Neurobiology of the sense of smell Tim Machado <https://lab.timmachado.com/> (Neuroscience): How do motor command pathways interact to generate specific movements? Joel Mainland <http://www.med.upenn.edu/apps/faculty/index.php/g20000342/p8508331> (Monell Center): Developing a predictive model relating molecular structure and olfactory perception Yoichiro Mori <https://www.sas.upenn.edu/~y1mori/> (Mathematics, Biology): Mathematical Biology, Physiology and Biophysics, Applied and Numerical Analysis Philip Nelson <http://www.physics.upenn.edu/~pcn/> (Physics): stochastic modeling; computational neuroscience; multielectrode recording Bijan Pesaran <https://pesaranlab.org/people/bijan-pesaran/> (Neurosurgery, bioengineering): Understanding large-scale circuits in the brain and how to engineer novel brain-based therapies Alexander Proekt <https://www.med.upenn.edu/apps/faculty/index.php/g275/p8841436> (Anesthesiology): Neuronal dynamics and neuronal mechanisms of anesthesia Nicole Rust <http://www.sas.upenn.edu/psych/rust-lab/> (Psychology): The neural correlates of visual memory Anna Schapiro <https://www.schapirolab.org/> (Psychology): Memory, learning, neural network modeling, sleep, consolidation, hippocampal-cortical interactions Marc Schmidt <https://www.bio.upenn.edu/people/marc-schmidt> (Biology): Avian brain dynamics in complex naturalistic social environments; computational neuroethology of courtship interactions in groups of songbirds; social context as a computationally constructed variable Alan Stocker <http://www.sas.upenn.edu/~astocker> (Psychology): Computational perception and cognition Flavia Vitale <https://vitalelab.med.upenn.edu/> (Neurology, Bioengineering, Physical Medicine and Rehabilitation): To study, monitor and treat neurological and neuromuscular disorders such as epilepsy, Parkinson's, nerve injury, and chronic pain Franz Weber <https://www.med.upenn.edu/weberlab/> (Neuroscience): The neural and homeostatic mechanisms controlling REM sleep, and the functional role of this brain state in emotional memories and behaviors ______________________________ Maria N. Geffen, Ph.D. (she/her) Professor Department of Otorhinolaryngology Department of Neuroscience Department of Neurology Co-Director, Computational Neuroscience Initiative Stemmler Hall G14 3450 Hamilton Walk Philadelphia PA 19104 (215)898-0782 mgeffen(a)pennmedicine.upenn.edu <mailto:mgeffen@pennmedicine.upenn.edu> My zoom room <https://pennmedicine.zoom.us/my/mgeffen?pwd=eWVFbUJFUGRJZ3g1eU9YZEZic2VwZz09> Follow me @geffenlab@mastodon.world <https://mastodon.world/@geffenlab> http://hosting.med.upenn.edu/hearing <http://hosting.med.upenn.edu/hearing> Twitter: @neimarkgeffen <http://twitter.com/neimarkgeffen>

Oct. 23, 2023

Post-doctoral position in Systems Neuroscience at Yale

by Anirvan Nandy

The Nandy lab <https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnandylab.…> and the Jadi lab <https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.jadil…> in the Departments of Neuroscience <https://medicine.yale.edu/neuroscience/> & Psychiatry <https://medicine.yale.edu/psychiatry/> at the Yale School of Medicine have an immediate opening for a Postdoctoral Associate, to investigate the neural mechanisms of perception and attention. Applicants with the following skills are particularly encouraged to apply: (a) research background in cognitive, systems, or computational neuroscience, (b) expertise in electrophysiology in behaving animals, and/or (c) highly quantitative data analytic skills (possibly including computational modeling). The candidate will carry out high-density multi-areal electrophysiological recordings while animals are engaged in attention-demanding visual tasks. The individual will be required to train animals, generate electrophysiological data, and perform advanced statistical data analyses and modeling in a highly collaborative research environment. This is a multi-year fully funded position. The initial appointment will be for a period of 1 year, with scope for multi-year renewal subject to satisfactory progress. Candidates will be reviewed on a rolling basis until the position is filled. Yale provides an outstanding environment for conducting successful and rigorous postdoctoral training toward obtaining an independent research position. The neuroscience community at Yale is highly active and involves interdisciplinary collaborations across multiple academic units including the Departments of Neuroscience, Psychiatry, Psychology, Computer Science, Statistics & Data Science, Molecular, Cellular & Developmental Biology, and more. The Wu Tsai Institute <https://wti.yale.edu/>, Kavli Institute for Neuroscience <https://medicine.yale.edu/kavli/>, and the Swartz Center for Theoretical Neurobiology provide excellent opportunities for training and cross-disciplinary dialog. Yale and our labs are highly committed to promoting diversity among its students, faculty, and staff. Women, persons with disabilities, protected veterans, and individuals from underrepresented minority groups are strongly encouraged to apply. Interested candidates should e-mail their applications to anirvan.nandy(a)yale.edu <mailto:anirvan.nandy@yale.edu>. The application should include (1) a CV; (2) a one-page description of research interests; (3) contact information for 3 referees. -------------------------------------------------------------------------- Anirvan Nandy, PhD Yale Orthwein Scholar for Vision Science Dept. of Neuroscience | Kavli Institute | Wu Tsai Institute Yale University https://nandylab.org <https://nandylab.org/>

Oct. 23, 2023