October 2023 - Comp-neuro - lists.cnsorg.org

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