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Postdoc positions at U Oregon
by James Murray 11 Oct '24

11 Oct '24

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/28843. 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). -- 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…>

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1st CFP ESANN 25: Special Session on ML and applied AI in COGNITIVE SCIENCES and PSYCHOLOGY
by Alfredo Vellido 11 Oct '24

11 Oct '24

> > > > > * apologies for cross-posting* > > > > **Special Session on ML and applied AI in COGNITIVE SCIENCES and PSYCHOLOGY** > > > > **ESANN 2025**: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning > > 23 to Friday 25 April 2025 > > > > https://www.esann.org/ESANN2025specialsessions#psycho > > > > *************************************************** > > On the wake of the finalisation of the European flagship Human Brain Project and similar initiatives around the world, it has become clear that Cognitive Science has become a data-centric endeavour. Cognitive Science is an interdisciplinary research field comprising neuroscience, psychology, linguistics, artificial intelligence, and philosophy. In particular, mental health is an important topic both for Cognitive Science and Healthcare. Data-based approaches stemming from Artificial Intelligence and particularly from Machine Learning are important tools in the pursuit of personalized medicine goals as means for improvement in diagnosis, prognosis and treatment. In the medical domain in general, both the trustworthiness of models and the explainability of methods are relevant for the adoption of such machine learning-based approaches in clinical diagnosis and treatment. This session will consider developments in the field of applied Artificial Intelligence for Cognitive Science, with a focus on medical applications. Topics of interest are, among others: > > - Neuroscience > > - Psychology and Psychiatry > > - Neurodegenerative diseases > > - Linguistics > > - Philosophy > > - Artificial Intelligence applications for diagnosis, prognosis and treatment of cognitive impairments and pathologies. > > - Patient cohort analysis. > > - Interpretable and explainable artificial intelligence methods in Cognitive Science. > > - Personalized medicine. > > - Artificial Intelligence–based medical devices regulation. > > > > **IMPORTANT DATES** > > Deadline for submissions: 20 November 2024 > > Notification of decisions: 24 January 2025 > > > > We are looking forward to seeing you in Bruges! > > **Organizing Committee**: Caroline König and Alfredo Vellido (UPC Barcelona Tech, Spain), Steffen Moritz (University Medical Center Hamburg-Eppendorf, Germany), Susana Ochoa (Parc Sanitari Sant Joan de Déu, Spain) > > >

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Postdoc Position in Computational Neuroscience and Neuroimaging at UNC-Chapel Hill
by Li, Guoshi 10 Oct '24

10 Oct '24

Dear Colleagues, A postdoctoral research associate position is available in the Department of Radiology, at UNC-Chapel Hill (https://guoshi.web.unc.edu/recruit/) The postdoctoral researcher will carry out research on computational neuroimaging and neuroscience using functional/diffusion MRI and PET data. Potential research projects include, but are not limited to, mechanistic identification of excitation-inhibition imbalance in Alzheimer's disease using fMRI/DTI and amyloid and tau PET, large-scale mapping of disrupted circuit interactions in major depressive disorders, and accurate localization of seizure onset zone via multiscale neural model inversion of resting-state fMRI. Initial appointment is for one year, with the possibility of renewal up to 3 years based on mutual agreement. A preferred start date of the position is November/December 2024, although it can be flexible. Candidates should have a strong background in computational neuronal modeling and neuroimaging analysis. Interested candidates are encouraged to contact Dr. Guoshi Li (guoshi_li(a)med.unc.edu<mailto:guoshi_li@med.unc.edu>) with a CV and a brief description of research interest. Thank you for your attention! Best regards, Guoshi Li https://guoshi.web.unc.edu/

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Postdoc positions in cognitive neuroscience and computational psychiatry, University of Tuebingen, Germany
by Susan Fischer 10 Oct '24

10 Oct '24

**Apologies for cross-posting** Dear colleagues, The "Developmental Computational Psychiatry" lab and the W3 professorship "Computational Psychiatry" led by Tobias Hauser at the University of Tübingen (Germany) is currently hiring new postdocs. The focus of the lab is to better understand the computational and neural mechanisms underlying decision making and learning, and how these processes go awry in patients with mental illnesses. The successful candidates will have the chance to work in a highly dynamic and inspiring environment and to collaborate closely with Prof Peter Dayan and the Max-Planck Institute for Biological Cybernetics. Concretely, we are looking for the following candidates: * Postdoc with experimental & neuroimaging background * Postdoc with computational modelling background * Postdoc with experimental computational modelling background More information about the positions can be found here: https://devcompsy.org/join-the-lab/ Interested candidates are encouraged to reach out to Tobias Hauser directly to informally discuss the positions. Best regards, Susan. ************************************************ Susan Fischer Coordinator Alexander von Humboldt Professorship Prof Peter Dayan & W3-Professorship ‘Computational Psychiatry’, Prof Tobias Hauser Eberhard Karls Universität Tübingen Equal Opportunities Officer Max Planck Institute for Biological Cybernetics Max-Planck-Ring 8 72076 Tübingen Germany ************************************************

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Open-rank Tenure-track Faculty Position in Assistive Technology for Disabilities
by Yu Zhang 09 Oct '24

09 Oct '24

*Open-rank Tenure-track Faculty Position in Assistive Technology for Disabilities* The P.C. Rossin College of Engineering & Applied Science at Lehigh University invites applications for an open-rank tenure-track faculty position in the area of Assistive Technology for Disabilities with an anticipated start date of July 1, 2025. The position is aligned with the ongoing Disability Interdependence across the Lifespan using Assistive Technology (DILAT) initiative. Applicants are required to possess an earned Ph.D. in Bioengineering, Electrical Engineering, Mechanical Engineering, or another relevant engineering discipline by the date of hire. The primary departmental affiliation for this position within the Rossin College will be determined based on the alignment of expertise and interests between the candidate and the department. This search seeks candidates who have interdisciplinary expertise and a strong track record of productivity and publishing in one or more of the following research areas: wearable medical devices, robotics, smart assistive devices, rehabilitation devices, prosthetics, and computational approaches to assistive technologies for disabled populations. The successful candidate will be expected to develop platform technologies that can be adapted to address physical, sensory, cognitive, and developmental disabilities across the lifespan. This position is aligned with Lehigh’s strategic research investment in interdisciplinary approaches to improving health through assessments and interventions that occur outside of traditional healthcare settings. This position will leverage collaborations and resources within Lehigh’s College of Health and additional key investments made by the University in the new Health, Science, and Technology (HST) building, a hub of interdisciplinary health/biomedicine research. The successful candidate will be expected to teach undergraduate and graduate courses in the affiliated department and contribute to departmental, college, and university service. Candidates must also be committed to the enhancement of a diverse, equitable, and inclusive environment in which world-class faculty, staff, and students can thrive to their full potential. *Review of Applications* — For full consideration, applications should be received online by November 7, 2024. Review of applications will continue until the position is filled. Applicants should submit materials at https://academicjobsonline.org/ajo/jobs/28805. Candidates should submit the following materials for evaluation: 1) a cover letter, 2) curriculum vitae (CV), 3) a Research Statement that describes past scholarly contributions and future research directions, 4) a Teaching Statement that describes instructional philosophy and courses that the candidate plans to teach or develop, 5) a statement on contributions to diversity, equity, and inclusion (DEI) that describes knowledge, prior DEI experience, and the candidate’s future plans for enhancing community and culture at Lehigh (the Lehigh ADVANCE Center’s guide for understanding and preparing such statements is available here <https://advance.cc.lehigh.edu/sites/advance.cc.lehigh.edu/files/Applicant-F…>), and 6) names and contact information of at least three references. Any inquiries regarding this search should be directed to Professor Yu Zhang, chair of the Search Committee at inbioe(a)lehigh.edu. -- Yu Zhang, PhD Associate Professor Department of Bioengineering Lehigh University

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PhD/PostDoc in Mainz, Germany
by Janina Hesse 09 Oct '24

09 Oct '24

At the Computational Resilience Group in Mainz, we are looking for a PhD student or post doc interested in working at the interface of mathematical modelling of complex systems, advanced data analysis and psychology/ biology, with the aim to understand the neuronal and dynamical foundation of stress resilience. Details here: https://lir-mainz.de/assets/lir_84_doctoral-candidate-or-postdoc_eng_aktuel… With kind regards, Jun.-Prof. Dr. Janina Hesse Group leader Computational Resilience Research Pronouns: she/her Leibniz-Institut für Resilienzforschung (LIR) gGmbH Wallstraße 7 55122 Mainz www.lir-mainz.de<http://www.lir-mainz.de/> Telefon: +49 (0) 6131 89448-44 E-Mail: Janina.Hesse(a)lir-mainz.de [cid:2fdf5eab-1460-426f-9744-1857cc24ee94] Aufsichtsratsvorsitzender: Dr. Frank-Dieter Kuchta Geschaeftsfuehrer: Prof. Dr. Klaus Lieb, Prof. Dr. Beat Lutz (wissenschaftlich), Dr. Thorsten Mundi (kaufmaennisch). HRB 48032, Amtsgericht Mainz Diese E-Mail enthaelt vertrauliche und/oder rechtlich geschuetzte Informationen. Wenn Sie nicht der richtige Adressat sind oder diese E-Mail irrtuemlich erhalten haben, informieren Sie bitte sofort den Absender und loeschen Sie diese E-Mail. Das Kopieren sowie die Weitergabe dieser E-Mail und der darin enthaltenen Informationen ist nicht gestattet. This email may contain confidential and/or privileged information. If you are not the intended recipient (or have received this email in error) please notify the sender immediately and delete this e-mail. Any unauthorized copying, disclosure or distribution of the material in this email is strictly forbidden. Unsere Hinweise zum Datenschutz finden Sie hier: https://lir-mainz.de/datenschutz

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M2 and/or PhD in Neuro-AI at CERCO, Toulouse, France
by MASQUELIER Timothee 09 Oct '24

09 Oct '24

Hi all, We are looking for a M2 and/or PhD student! Topic: Neuro-AI guided objective hearing assessment and hearing loss compensation. Details here: http://tmasquelier.free.fr/neurogram_M2+PhD_2025.pdf Please forward, distribute, etc. Cheers, Tim ___________________________________________________________________ Timothée Masquelier - timothee.masquelier(a)cnrs.fr - http://cerco.cnrs.fr/pagesp/tim

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Funded Ph.D. Positions at the International Max Planck Research School for Intelligent Systems (including comp neuro, medical AI)
by Philipp Berens 08 Oct '24

08 Oct '24

The Max Planck Institute for Intelligent Systems and the Universities of Stuttgart and Tübingen collaborate to offer an interdisciplinary doctoral program, the International Max Planck Research School for Intelligent Systems (IMPRS-IS). This doctoral program will accept its ninth generation of doctoral researchers in spring of 2025. This school is a key element of Baden-Württemberg’s Cyber Valley initiative to accelerate basic research and commercial development in artificial intelligence and robotics. We seek students who want to earn a doctorate while contributing to world-leading research in areas such as: • Artificial Intelligence • Biomedical Technology • Computational Cognitive Science • Computer Vision and Graphics • Control Systems and Optimization • Data Science & Visualization • Haptics and Human-Computer Interaction • Machine Learning • Micro- and Nano-Robotics • Natural Language Processing • Neuroscience • Perceptual Inference • Robotics and Human-Robot Interaction • Soft Robotics and Materials Our renowned faculty include Amirreza Aghakhani, Aamir Ahmad, Frank Allgöwer, Kai Arras, Robert Bamler, Christian Baumgartner, Philipp Berens, Matthias Bethge, Michael J. Black, Wieland Brendel, Andrés Bruhn, Andreas Bulling, Martin Butz, Luiz Chamon, Manfred Claassen, Katharina Eggensperger, Benedikt Ehinger, Carsten Eickhoff, Andreas Geiger, Jonas Geiping, Martin A. Giese, Moritz Hardt, Florian Hartmann, Daniel Häufle, Matthias Hein, Philipp Hennig, Christian Holm, Andrea Iannelli, Christoph Keplinger, Katherine J. Kuchenbecker, Hilde Kuehne, Hendrik Lensch, Nicole Ludwig, Sabine Ludwigs, Jakob Macke, Georg Martius, Kristof Meding, Celestine Mendler-Dünner, Michael Mühlebach, Sven Nahnsen, Mathias Niepert, Seong Joon Oh, Antonio Orvieto, Aniket Pal, Nico Pfeifer, Gerard Pons Moll, Michael Pradel, C. David Remy, Kerstin Ritter, Alina Roitberg, Philipp Rothemund, Samira Samadi, Dieter Schmalstieg, Syn Schmitt, Bernhard Schölkopf, Sabine Schulte im Walde, Michael Sedlmair, Thomas Speck, Steffen Staab, Ingo Steinwart, Benjamin Unger, Alexander Verl, Claire Vernade, Ulrike von Luxburg, Daniel Weiskopf, Felix Wichmann, Bob Williamson, Andreas Wortmann, Thomas Wortmann, and Charley Wu. Associated faculty include R. Harald Baayen, Franz Baumdicker, Peter Dayan, Jonathan Fiene, Konstantin Genin, Bedartha Goswami, Ksenia Keplinger, Miriam Klopotek, Anna Levina, Kay Nieselt, Peter Pott, Gunther Richter, Cornelia Sindermann, Maria Wirzberger, and Thomas Wolfers. Intelligent systems that can successfully perceive, act, and learn in complex environments hold great potential for aiding society. We seek doctoral students who are curious, creative, and passionate about research to join our school and help advance human knowledge about intelligent systems. • Admitted students can join our program starting in spring of 2025. • You will be mentored by our internationally renowned faculty. • You will register as a university doctoral student and conduct research. • IMPRS-IS offers a wide variety of scientific seminars, workshops, and social activities. • All aspects of our program are in English. • Your doctoral degree will be conferred when you successfully complete your doctoral project. • Our dedicated staff members will assist you throughout your time as a doctoral student. People with a strong academic background and a master’s degree (conferred or expected soon) in Engineering, Computer Science, Cognitive Science, Mathematics, Control Theory, Neuroscience, Materials Science, Physics, or related fields should apply. IMPRS-IS is an equal opportunity employer dedicated to excellence through diversity and does not discriminate on the basis of age, race, sex, disability, sexual orientation, national origin, religion, marital status, gender identity, or any other non-job-related criteria. We believe in the importance of a multicultural community of students, faculty, and staff who seek to advance our commitment to diversity and inclusion. IMPRS-IS strives to create and maintain working and learning environments that are inclusive, equitable, and welcoming. Admission will be competitive. If selected, you will receive funding via an employment contract, subject to the rules of the Max Planck Society and the two participating universities. You can apply at https://imprs.is.mpg.de/application before 11:59 p.m. (23:59) CET on November 15, 2024. Finalists will be invited to selection interviews that will take place from February 13 to 21, 2025. For further information, please visit https://imprs.is.mpg.de -- Professor of Data Science, Director Hertie Institute for AI in Brain Health Medical Faculty of the University of Tübingen www.hertie.ai

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PhD/PostDoc position in Computational Psychiatry, University of Marburg
by Hamidreza Jamalabadi 07 Oct '24

07 Oct '24

We are excited to announce an opportunity for a PhD or Postdoctoral researcher to join our lab at the University of Marburg, starting as soon as possible. This position is funded by the prestigious DFG CRC/TRR 393 consortium, a long-term, multicenter project dedicated to understanding the trajectories of affective disorders. The position is initially for two years, with the possibility of extension up to an additional three years (maximum of five years). How to Determine if You Are a Good Fit: - Familiarize yourself with our work: Review the research papers listed below, visit our lab’s website (https://www.psycontrol-lab.de/) and explore the Physics of Cognition workshop we recently organized (https://bernstein-network.de/bernstein-conference/program/satellite-worksho…) Ask yourself if these topics align with your research experience or excite your intellectual curiosity- . - Conference Engagement: Do you regularly attend, or aspire to attend, conferences such as CCN, NeurIPS, ICLR, COSYNE, BCCN, BrainModes, OHBM, SfN, ECNP, or Computational Psychiatry? If these events resonate with you, you may find our environment a great fit. What You Will Bring: - A strong motivation to advance the understanding of mental health disorders. - A solid background in Dynamical Systems Theory, Machine Learning, Generative Visual AI, and Neuroimaging. - Proficiency in coding - Excellent command of the English language in writing and speaking. What You Can Expect From Us: - Access to one of the most unique infrastructures in this field including full access to multiple multimodal unique large datasets (N > 3000) in the field, including fMRI, DTI, EEG, and EMA. - Ample computational resources (dedicated CPU, GPU, and RAM) tailored to your needs. - - Collaboration with a highly motivated interdisciplinary team with backgrounds in Engineering, Physics, Psychology, and Medicine. - Strong national and international collaborations through projects like The Adaptive Mind (TAM, https://www.theadaptivemind.de/) and the Center for Mind, Brain, and Behavior (CMBB, https://www.cmbb-fcmh.de/de) and partnerships with labs in the UK, Netherlands, Germany, and the USA. - Dedicated travel funding and the ability to run your own studies. For postdoctoral candidates, there is potential to establish your own research group. If you resonate with our research and approach, please send your CV and a brief statement explaining why you are a good fit and why this opportunity excites you to hamidreza.jamalabadi(a)uni-marburg.de. There is no formal deadline for applications—reviews will begin immediately and continue until the position is filled. Key Publications Gaziv, G., Lee, M., & DiCarlo, J. J. (2024). Strong and precise modulation of human percepts via robustified ANNs. Advances in Neural Information Processing Systems, 36. Durstewitz, D., Koppe, G., & Thurm, M. I. (2023). Reconstructing computational system dynamics from neural data with recurrent neural networks. Nature Reviews Neuroscience, 24(11), 693-710. Jamalabadi, H., Koppe, G., Nozari, E., & Hahn, T. (2023). Engineering the Mind: Actionable Technical Requirements for Innovation in Clinical Neuroscience. Stocker, J. E., Koppe, G., Reich, H., Heshmati, S., Kittel-Schneider, S., Hofmann, S. G., ... & Jamalabadi, H. (2023). Formalizing psychological interventions through network control theory. Scientific Reports, 13(1), 13830. Winter, N. R., Blanke, J., Leenings, R., Ernsting, J., Fisch, L., Sarink, K., ... & Hahn, T. (2024). A Systematic Evaluation of Machine Learning–Based Biomarkers for Major Depressive Disorder. JAMA Psychiatry, 81(4), 386-395. Goetschalckx, L., Andonian, A., Oliva, A., & Isola, P. (2019). Ganalyze: Toward visual definitions of cognitive image properties. Proceedings of the IEEE/CVF International Conference on Computer Vision, 5744-5753. Hope to hear from you soon! Best regards, Hamidreza Jamalabadi -- Prof. Dr. rer. nat. Hamidreza Jamalabadi Professor for Computational Psychiatry Psychiatric Control Systems Lab Department of Psychiatry and Psychotherapy Philipps-Universität Marburg Rudolf-Bultmann-Straße 8 35039 Marburg Germany Tel.: +49 6421 5863827 Email: hamidreza.jamalabadi(a)uni-marburg.de hamidreza.jamalabadi(a)psycontrol-lab.de Web: https://www.psycontrol-lab.de/

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Post-doc position available-Rennes, France - Computational modeling of genetic mutations at cellular level
by fabrice.wendling＠inserm.fr 07 Oct '24

07 Oct '24

Dear colleagues Please find below an offer for a Post-Doc/Engineer position in our laboratory, starting in Autumn 2024. The successful candidate will work on a national multidisciplinary project called Innov4epik. This is a hospital-university research project (RHU) involving 10 centers in France. It focuses on pediatric epilepsies caused by genetic mutations inducing alterations in transmembrane ion channels. Please feel free to forward this offer to anyone who might be interested in a topic on electrophysiological signal modeling and processing (LFPs, EEG) in the context of epilepsy. Many thanks in advance. fw --- Post-doc or Research Engineer position offer (ref: RHU2024-MICRO) Computational modeling of genetic mutations at cellular level Context. Developmental and epileptic encephalopathies (DEEs) are a group of severe rare diseases where the combined effect of seizures, most often drug resistant, and the non-seizures consequences of the disease etiology, often genetic, entail a debilitating encephalopathy with drastic effects on the neurodevelopmental, psychiatric, and motor abilities of the patients. DEEs due to potassium channel mutations (K-DEEs) are emblematic of this disease presentation. Rationale. The mechanisms underlying the relationship between i) the molecular effect of a gene mutation (KCNB1/KCNT1/KCNA2) on specific voltage gated potassium channel function, and ii) the patient-specific phenotypes observed in scalp-recorded EEG signals remain elusive. Computational models inspired from neuronal physiology is now recognized as a most efficient way to bridge the gap between i) changes occurring at the level of neurons and neuronal circuits and ii) electroencephalographic (EEG) signals recorded in patients containing markers of the underlying pathology. Objective. The objective of the proposed research position is to design novel neuro-inspired models taking into account the molecular effect of a gene mutation on the specific voltage-gated potassium (K) channel function and the specific phenotypes observed in patients (scalp-recorded EEG signals) and in genetically-modified mice (local field potentials) in which downregulation or upregulation of K channels is induced. Methods. Detailed multicompartment models (i.e. including dendrites, soma and axon) will be developed. They will be based on Hodgkin and Huxley's (HH) formalism. They will describe both passive (membrane capacitance, axial resistivity, leakage conductance, and membrane time constant) and active (voltage-gated and ligand-gated ion channels) membrane properties. The channel pathogenic variants of KCNB1/KCNT1/KCNA2 mutations identified in 2 other work packages (1 & 2) will be inserted in the membrane in order to study the impact of the channel mutation on the firing rate curves of considered neuron subtypes, typically pyramidal neurons (PYR), somatostatin (SST-), parvalbumin (PV-), and vasoactive intestinal polypeptide (VIP-) positive interneurons. Optimization methods will be developed for identifying optimal parameters minimizing the distance between real and simulated electrophysiological signals (LFPs). Models will use the Hodgkin & Huxley formalism. They will be developed in Python. They will extend already-existing models at cellular level. Strong background is available ( <https://perso.univ-rennes1.fr/fabrice.wendling/> https://perso.univ-rennes1.fr/fabrice.wendling/) Scientific domains. Engineering (computational, biomedical); Neurophysiology; Neuroscience; Neurology; Computer Science (implementation of Python routines into an existing software application named COALIA). Scientific environment. This research will benefit from an outstanding clinical research environment, centered around the largest curated K-DEE cohorts, coordinated by the Necker reference center for rare epilepsies (Prof. Rima Nabbout), and assembling an extensive group of experts from various specializations, including clinical, electrophysiological, psychological, computational, translational research, biotechnology and pharma industry. Candidate profile. The research project is at the interface between biomathematics (neuro-inspired models) and neuroscience/neurology (epilepsy). The Post-doc/Engineer fellow (PhD level) will preferably have a strong background in computational neuroscience/systems biology or in electrical engineering with experience in bio-signal processing. Knowledge in electrophysiology and/or EEG analysis would be an asset. Contract The position will be opened November. 1st, 2024 (flexible). The contract is for 3 years (flexible). The employer is the University of Rennes. The competitive salary will be according to experience (2350 Euros net, minimum). The candidate will also have access to the French system benefits. Location in the city of Rennes, France. LTSI-Inserm laboratory, University of Rennes. In addition, the hired person will have the opportunity to actively collaborate with other groups involved in the innov4epik RHU project (2024-2029), funded by the French National Research Agency (ANR). Contact (please provide resume, cover letter and email of 2 references) Pascal Benquet (Prof Univ Rennes, LTSI, France) Email: <mailto:pascal.benquet@univ-rennes.fr> pascal.benquet(a)univ-rennes.fr Fabrice Wendling (DR Inserm, LTSI, France) Email: <mailto:fabrice.wendling@inserm.fr> fabrice.wendling(a)inserm.fr --- Fabrice WENDLING DR Inserm LTSI, Inserm UMR1099 - Université de Rennes Co-directeur équipe Cinetyks Campus de Beaulieu - Bât. 22 35042 Rennes Cedex - France - Tel: +33 2 23 23 56 05 / 62 20 - +33 6 58 25 75 30 Email: <mailto:fabrice.wendling@inserm.fr> fabrice.wendling(a)inserm.fr <https://ltsi.univ-rennes.fr/> https://ltsi.univ-rennes.fr/ <https://perso.univ-rennes1.fr/fabrice.wendling> https://perso.univ-rennes1.fr/fabrice.wendling <https://www.galvani-lab.eu/> https://www.galvani-lab.eu/

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PhD and PostDoc positions at the Hertie Institute for AI in Brain Health at University Tübingen
by Kerstin Ritter 06 Oct '24

06 Oct '24

The “Hertie Institute for AI in Brain Health” (Hertie AI) at the Faculty of Medicine of the Eberhard Karls University Tübingen is funded by the Gemeinnützige Hertie Stiftung to develop AI algorithms, which detect diseases of the nervous system earlier and treat them better. The Department of Machine Learning for Clinical Neuroscience is currently recruiting PHD CANDIDATES and POSTDOCS. We develop advanced machine and deep learning models to analyze diverse clinical data, including neuroimaging, psychometric, clinical, smartphone, and omics datasets. While focusing on methodological challenges (explainability, robustness, multimodal data integration, causality etc.), the main goal is to enhance early diagnosis, predict disease progression, and personalize treatment for neurological and psychiatric diseases in diverse clinical settings. We seek motivated candidates with strong machine learning skills who are eager to work on real-world medical challenges. Experience with complex medical data—whether imaging, time-series, or tabular—and current machine learning methods like CNNs and transformers is highly valued.  - If you want to join the  Hertie AI  as a PhD student, apply via the International Max Planck Research School for Intelligent Systems (IMPRS, https://imprs.is.mpg.de/application) until November 15th. - If you want to join as a Postdoc, please submit your CV (max. 2 pages), a list of publications (max. 2 pages), and a motivation letter via this link: https://jobs.medizin.uni-tuebingen.de/Login/5200 For more information, please visit our career page: https://hertie.ai/earlycareer We offer an exciting and supportive environment with access to state-of-the-art compute facilities, mentoring and career advice through experienced faculty. Hertie AI closely collaborates with the world-class AI ecosystem in Tübingen (e.g. Cyber Valley, Cluster of Excellence “Machine Learning in Science”, Tübingen AI Center). The remuneration is in accordance with TV-L (collective wage agreement for the Public Service of the German Federal States), severely handicapped persons with equal qualifications are given preferential consideration. Since the University of Tübingen aims to increase the proportion of women among its academic staff, women are strongly encouraged to apply. Interview expenses are not covered. Please note the applicable vaccination regulations. Questions can be addressed to hertieai(a)medizin.uni-tuebingen.de Please get in touch! Best wishes Kerstin Ritter _____________________________________________________________ Prof. Dr. Kerstin Ritter Professor of Machine Learning for Clinical Neuroscience Hertie Institute for AI in Brain Health Medical Faculty of the University of Tübingen www.hertie.ai

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Call for Abstracts/Papers - ICICIP2025, Muscat, Oman, February 6-11, 2025
by Pub Conference 05 Oct '24

05 Oct '24

*Call for Abstracts/Papers* Conference website: https://conference.cs.cityu.edu.hk/icicip/ The 13th International Conference on Intelligent Control and Information Processing (ICICIP2025) will be held in Muscat, Oman, February 6-11, 2025, following the successes of previous events. As the capital of Oman, Muscat is Oman's largest city with a population of over four million people and numerous tourist attractions. ICICIP2025 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in related fields. The conference will feature plenary speeches given by world-renowned scholars, regular sessions with broad coverage, special sessions focusing on popular topics, and post-conference workshops/tutorials in the region. Prospective authors are invited to contribute high-quality papers to ICICIP2025. In addition, proposals for special sessions within the technical scopes of the symposium are solicited. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the contributed papers. Researchers interested in organizing special sessions are invited to submit formal proposals to ICICIP2025. A special session proposal should include the session title, a brief description of the scope and motivation, names, contact information, and brief biographical information on the organizers. Authors are invited to submit abstract only or full-length papers (8 pages maximum) by the submission deadline through the online submission system. Potential organizers are also invited to enlist five or more papers with cohesive topics to form special sessions. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The authors of accepted papers will have an opportunity to revise their papers and take consideration of the referees' comments and suggestions. All accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore's scope and quality requirements. Selected high-quality papers will be included in several journal special issues. The abstract and paper submission system is now open. Abstract and Paper Submission link: https://openreview.net/group?id=IEEE.org/ICICIP /2025/Conference&referrer=%5BHomepage%5D(%2F)#tab-your-consoles *Abstract Only or Paper Submission Deadline: November 1, 2024*

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Open Faculty Positions at Okinawa Institute of Science and Technology: Apply by Oct. 15, 2024
by Kenji Doya 05 Oct '24

05 Oct '24

Okinawa Institute of Science and Technology Graduate University (OIST) is calling for applications to the tenure-track and tenured faculty positions in Mathematical Sciences, including applied math, statistics, and data sciences. OIST provides innovative, international and interdisciplinary research environment with strong internal funding for research units. Please check the web page for details: https://www.oist.jp/careers/faculty-positions The application deadline is October 15th, 2024. Best wishes, Kenji ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

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Open neuroimaging position E13 100%
by Jochem Rieger 04 Oct '24

04 Oct '24

Dear all, we have an open position as project coordinator and developer for open neuroimaging enthusiasts! The E13 salary level position is in our DFG-funded device center "Tools and practices for open neuroimaging". We are looking for a person with neuroimaging experience at the doctoral or pos-doctoral level who will coordinate the project with our international network and develop software tools along the neuroimaging data (pre-)processing pipeline. The announcement is here: https://uol.de/en/job/scientific-software-engineer-or-data-scientist-mfd-fo… The application deadline is October 15th If you have further questions on how you could build your career in the open neuroimaging ecosystem from here please contact jochem.rieger(a)uni-oldenburg.de Looking forward to your application, Jochem -- Jochem Rieger Prof. Dr. rer. nat. habil. Applied Neurocognitive Psychology DFG Center for Open and Reproducible Neuroscience Tools NFDI sections ELSA and metadata DFG Cluster of Excellence Hearing4All Carl-von-Ossietzky University Oldenburg Phone: +49 (0)441 798 4533 Web:https://uol.de/en/applied-neurocognitive-psychology github:https://github.com/ANCPLabOldenburg

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PhD candidate or Post-doctoral research scientist (m/w/d) in cochlear implant research
by Bernhard Seeber 04 Oct '24

04 Oct '24

Dear List, For research on Cochlear Implant Modelling and Algorithms we are looking for a PhD candidate or Post-doctoral research scientist (m/w/d) as a full-time position to start at the earliest convenient date (open call). Your responsibilities: - Modeling auditory nerve responses to electrical stimulation and development of neural-model based stimulation strategies for users of auditory neuronal prostheses (cochlear implants) - Developing listening tests to measure performance with novel stimulation strategies in complex listening situations - Statistical analysis of the results - Publication in English-language scientific journals and presentations at conferences - Supervision of student projects, assistance with teaching and with raising external funding. Your qualifications: - (Interest in completing a) Doctoral degree (PhD) in one of the following areas: auditory neuroscience, psychoacoustics, medical physics/audiology, audio technology, signal processing, or a related area - Knowledge and experience desirable in neural modeling and models of the auditory system, designing and analyzing psychoacoustic experiments, direct stimulation of cochlear implants, algorithms for hearing devices, auditory perception, audio signal processing - Very good programming skills in Matlab, Python, or C/C++ - Excellent written and oral communication skills as well as experience with scientific publications - Knowledge and command of the German language desirable for working with cochlear implant users - Flexibility and good interpersonal skills and interest in basic research and medical applications - Interest in supervising students, helping with teaching and raising external funds. Our offer: We offer you the opportunity to join a dynamic, interdisciplinary team, to work with up-to-date technical equipment including sound booths equipped with direct stimulation hardware for cochlear implants, an anechoic chamber hosting an audio-visual virtual reality system, and to learn about the latest methods in hearing research. Our close interaction with the Bernstein Centre for Computational Neuroscience Munich, the Graduate School of Systemic Neurosciences, the Hearing Research Network Munich, our extensive cooperation with industry and with scientific partners, and the numerous talks and courses offered at TUM create an attractive environment with excellent perspectives for personal development. Please see www.aip.cit.tum.de, http://y2u.be/yN7vD1khTOI and www.tum.de for information. We offer a full-time position as academic staff with the opportunity to pursue a doctoral degree. Salary is according to the Collective Agreement for the Civil Service of the Länder (TV-L/E13, 100%). The position is initially for 1 year and intended to be extended. TUM strives to raise the proportion of women in its workforce and explicitly encourages applications from qualified women. The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Your application: I look forward to answering your questions on the phone (+49 89 289 28282) or by email. Please send your expressive application by email no later than 03 November 2024 to Prof. Bernhard Seeber, aip(a)ei.tum.de. As part of your application, you provide personal data to the Technical University of Munich (TUM). Please view our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https://portal.mytum.de/kompass/datenschutz/Bewerbung. By submitting your application you confirm to have read and understood the data protection information provided by TUM. Best, Bernhard -- Prof. Dr.-Ing. Bernhard U. Seeber Audio Information Processing Department of Computer Engineering School of Computation, Information and Technology Technische Universität München Arcisstrasse 21 D-80333 Munich, Germany Office: +49 89 289-28282 Fax: +49 89 289-28211 Mobile: +49 (0)174 928 6338 Visitors: Theresienstrasse 90, building N5, room N6504 Web: www.aip.cit.tum.de https://www.youtube.com/@audioinformationprocessing Key affiliations: Department of Computer Engineering, CIT Bernstein Center for Computational Neuroscience Munich Munich Institute of Biomedical Engineering (MIBE) Munich Institute of Robotics and Machine Intelligence (MIRMI)

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AE Autumn Summit on Open Problems in AI (Oct 23-24th, Euston, London)
by Battleday, Ruairidh 04 Oct '24

04 Oct '24

AE Autumn Summit on Open Problems for AI. Friends House, Euston, London, Oct 23-24. What are the next set of challenges for AI algorithms? What are the open problems in application? Join the UK’s leading AI researchers, policy makers, and entrepreneurs in this global summit. We are pleased to announce our final line-up and reduced ticket prices! www.algopreneurship.org Day 1 (Oct 23rd) - Algorithms We’ll be hearing from Professor Karl Friston <https://en.wikipedia.org/wiki/Karl_J._Friston> (UCL & Verses.ai <http://verses.ai/>), Professor Claudia Clopath <https://profiles.imperial.ac.uk/c.clopath> (Imperial), Dr Katja Hofmann <https://www.microsoft.com/en-us/research/people/kahofman/> (Microsoft), Dr Martin Riedmiller <https://sites.google.com/view/riedmiller/home> (Google DeepMind), Professor Tim Rocktäschel <https://rockt.github.io/> (Google DeepMind & UCL) Panels on Fundamental AI research challenges (University of Oxford, DeepMind, Meta <https://ai.meta.com/research/fair-paris/>, XTX Markets <https://xtxmarkets.com/>); New Kinds of AI Research Institution (Kings AI Institute <https://www.kcl.ac.uk/ai>, <https://www.aria.org.uk/>Alan Turing Institute <https://www.turing.ac.uk/>, Advanced Research and Invention Agency <https://www.aria.org.uk/>, Ellison Institute <https://eit.org/>, <https://www.airstreet.com/>Cambridge Consultants <https://www.cambridgeconsultants.com/>) Day 2 (Oct 24th) - Applications Professor Sana Khareghani <https://rai.ac.uk/team/professor-sana-khareghani-2/> (RAI <https://rai.ac.uk/> & KCL), James Donovan <https://www.linkedin.com/in/james-donovan-111a7a122/> (OpenAI), Professor Mounia Lalmas <https://research.atspotify.com/2020/09/mounia-lalmas-roelleke/> (Spotify), Professor Eiman Kanjo <https://profiles.imperial.ac.uk/e.kanjo> (tinyML/Imperial/Nottingham Trent), Danny Gray <https://jaaq.org/creator/35911> (Just Ask A Question <https://jaaq.org/home>), Tarig Hilal <https://www.linkedin.com/in/tarighilal/> (Akord AI <https://cdi.akord.org/>), Ashley Ramrachia <https://www.linkedin.com/in/ashley-ramrachia-0988675/> ( Academy <https://academy.tech/>), Dr Chanuki Illushka Seresinhe <https://www.linkedin.com/in/chanukiseresinhe/> (Boon/beautifulplaces.ai) Future Leaders Breakout Rooms (UKRI, Future Leaders Development Network <https://www.flfdevnet.com/>, No, 10 Downing Street Data Team, Tony Blair Institute <https://www.institute.global/>, Zeki <https://www.thezeki.com/>, Octopus ventures <https://octopusventures.com/>, Entrepreneur First <https://www.joinef.com/>), Panels on AI and Education Panel (Raspberry Pi <https://www.raspberrypi.org/>, Inversity <https://inversity.co/welcome>, micro:bit <https://microbit.org/>, memrise <https://www.memrise.com/en-us/>, Five Arrows <https://www.rothschildandco.com/en/five-arrows/>); Challenges for AI in Biomedicine Panel (KCL, QMU, Alan Turing Institute, Sonus AI <https://decorte.co.uk/>, RedAlpine <https://www.redalpine.com/>) Student tickets: £10 General: £30 This should be an exciting and productive event, and we expect an audience of 1000 of the UK best AI researchers, policy makers, and entrepreneurs, at student, early stage, and full career levels. There will be breakouts, and a final reception. We hope to see you there! -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking, Inc <https://thinkingaboutthinking.org> Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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Tenure Track Faculty Position in Neuromorphic Computing at the University of Calgary
by Wilten Nicola 03 Oct '24

03 Oct '24

*Please note that the Job ad below has been extended until the end of October. * Canada Research Chair (Tier II), *Neuromorphic Technologies,* Biomedical Engineering, Schulich School of Engineering Position Description The Schulich School of Engineering, in partnership with the Hotchkiss Brain Institute (HBI), at the University of Calgary invites applications for a full-time, tenure-track position at the rank of Assistant Professor with an anticipated start date of January 1, 2025. The selected candidate will be nominated for a Tier II Canada Research Chair (CRC) in Neuromorphic Technologies. Further information about the Canada Research Chairs Program can be found on the Government of Canada’s CRC website ( <https://www.chairs-chaires.gc.ca/home-accueil-eng.aspx> https://www.chairs-chaires.gc.ca/home-accueil-eng.aspx) <https://www.chairs-chaires.gc.ca/home-accueil-eng.aspx> including eligibility criteria. The successful candidate will be appointed to a tenure-track position at the rank of Assistant Professor in the Department of Biomedical Engineering (BME) and will be a full member of the HBI. In alignment with the University of Calgary's *Ahead of Tomorrow* strategic plan and in support of its strategic academic and research priorities, the successful candidate will actively contribute to research, student/postdoc supervision, undergraduate and graduate teaching as well as curriculum development. In time, the successful candidate is expected to grow into a leadership role within the department, school, institute, and university. The successful candidate will also provide service to the department, faculty, institute, university, and community and contribute to achieving equitable, diverse, inclusive and accessible employment practices and workplaces. The successful candidate is expected to establish a strong research program in the area of neuromorphic technologies within BME and the HBI computational neuroscience initiative, with the potential to achieve national and international recognition in the next five to ten years. They will be expected to attract competitive external funding to support their research activities and to attract excellent trainees and staff. They will also be expected to teach a range of undergraduate and graduate courses, related to their area of expertise. In alignment with the University of Calgary's strategic vision, and in support of its strategic priorities of leadership, teaching and research integration, the successful applicant will actively contribute to teaching and curriculum development. The successful candidate will be an emerging scholar with an original, creative, innovative, and forward looking research program, acknowledged by their peers as having the potential to become an international leader in the field. Applicants must have earned a PhD in engineering, life sciences, or equivalent. They must have demonstrated evidence of scholarly impact, research productivity, research funding, transdisciplinary collaboration, and the ability to lead a productive independent research group. The ability to attract, supervise and mentor graduate students is essential. Applicants should also show that they have experience in teaching at the graduate and undergraduate level and contributing to their department/school/community. The successful candidate’s research program will focus on advancing one or more areas in the field of Neuromorphic Technologies. Research areas and applications of interest to BME and the HBI include developing 1) new brain-inspired algorithms and neuromorphic hardware, and 2) sensory processing systems suitable for brain-computer applications. Candidates with other related activities in the computational neuroscience/brain computer interface/neuromorphic technologies space are also valued by the University of Calgary and these applicants are encouraged to apply. The research area exemplifies the University of Calgary’s vision of research that is built around areas of excellence, entrepreneurial thinking, innovation, advanced technology, and strong connections to industry and community. The successful candidate will have a mandate to establish a research program that advances critically required knowledge for neuromorphic technologies, that will attract competitive external funding, and to contribute to teaching and graduate student supervision at the University level. They are expected to be or become eligible for registration as a professional engineer with the Association of Professional Engineers and Geoscientists of Alberta (APEGA) ( <https://www.apega.ca/> https://www.apega.ca/) <https://www.apega.ca/>. If any candidates require further information about this criterion, they are encouraged to contact the BME Department Head. The University of Calgary is committed to fostering diversity through cultivating an environment where people with a variety of backgrounds, genders, interests and talents feel welcome and included. In 2016, the Schulich School of Engineering was recognized with the KNOVO Award of Distinction to honour the school’s commitment to diversity and equity. The new Biomedical Engineering Department, with new teaching labs and renovated research labs, is the home of undergraduate (BSc) and graduate (MEng, MSc, PhD) programs and is an anchor for cross-campus transdisciplinary activities in Biomedical Engineering. Biomedical Engineering activities occur across multiple faculties at the University of Calgary (ucalgary.ca/bme <http://www.ucalgary.ca/bme>) <http://www.ucalgary.ca/bme> and involve more than 300 faculty members with current annual research funding exceeding $75M. The university has made significant investments in Biomedical Engineering to date, including the allocation of six Tier 1 and nine Tier 2 Canada Research Chairs. A strong culture of collaboration and cross-disciplinary research excellence is enabled by significant research infrastructure located in multiple centers across campus. The University of Calgary’s transdisciplinary Biomedical Engineering research initiative drives innovations that are saving lives and revolutionizing health care. Biomedical Engineering is led by the Schulich School of Engineering, with the Cumming School of Medicine, and the faculties of Kinesiology, Nursing, Science, and Veterinary Medicine. With collaborative teams focused on human mobility, health monitoring and management including ehealth, advanced biomedical imaging, precision bio-diagnostics, regenerative medicine and novel medical technologies, our researchers are transforming health services and quality of life. The HBI is an institute based in the Cumming School of Medicine that leads the university’s Brain and Mental Health (BMH) research initiative which brings together over 300 full members working in this area from across the university. Following from its vision “Healthy Brains for Better Lives”, the strategic goals of the HBI are to make key, internationally recognized discoveries and transform clinical research in the neurosciences and mental health. To achieve this goal the HBI has created a “NeuroDiscovery Framework”, which aligns research within three themes of Brain & Behaviour, Neural Injury & Repair and Healthy Brain Aging. Each theme is composed of BMH Teams organized in a translational continuum, which includes biomedical, clinical, population and public health researchers. The teams take advantage of several key technology platforms, core facilities (such as optogenetics, neurostimulation, and advanced microscopy) and programs that support them in the pursuit of their research goals, including a nationally recognized computational neuroscience initiative. This highly enriched environment is ideally suited to foster research excellence. The successful candidate will benefit from a rich academic ecosystem, which includes world-class scholars, a focus on entrepreneurship and innovation, and an equitable, diverse, and inclusive university community that supports transdisciplinary research, partnerships and collaborations, and education excellence. The Schulich School of Engineering Strategic Plan, Schulich Momentum, identifies four pillars: 1) Indigenous Engagement, Inclusivity and Reconciliation; 2) Fostering a Community through Equity, Diversity, Inclusion and Accessibility; 3) Preparing Tomorrow’s Engineering Changemakers; and 4) Elevating Research and Innovation Impact. Similarly, research and educational activities in the Hotchkiss Brain Institute are supported by its “Creating Impact: The Hotchkiss Brain Institute Strategy 2023-2027". The Schulich School of Engineering and the Hotchkiss Brain Institute are both key contributors to the University of Calgary *Ahead of Tomorrow *strategic plan, which emphasizes transdisciplinary scholarship, deeper community integration, and future-focused program delivery. For more information, please visit the Schulich School of Engineering <https://schulich.ucalgary.ca/> <https://schulich.ucalgary.ca/>or Hotchkiss Brain Institute <https://hbi.ucalgary.ca/> <https://hbi.ucalgary.ca/>websites. How to Apply *Interested candidates are encouraged to submit an application online via the 'Apply Now' link*. Please be aware that the application process allows for only four attachments. Your four application attachments should be organized to contain the following (which may require you to merge documents, such as publications): • Cover letter and curriculum vitae, as well as the name and contact information of three referees • Statement of research interests, accomplishments and vision (maximum 2 pages) • Statement of teaching philosophy promoting student learning and success (maximum 2 pages). This can include information on teaching experience, training, and mentoring inside and outside the classroom at the undergraduate, graduate and postdoctoral levels • Statement on equity, diversity and inclusion (maximum 2 pages) ( <https://www.ucalgary.ca/equity-diversity-inclusion> https://www.ucalgary.ca/equity-diversity-inclusion) <https://www.ucalgary.ca/equity-diversity-inclusion> *Applications are accepted until September 1, 2024.* *Questions may be addressed to: * Dr. Michael Kallos Head, Department of Biomedical Engineering Email: *mskallos(a)ucalgary.ca <mskallos(a)ucalgary.ca>* The University of Calgary adheres to the principles of the San Francisco Declaration on Research Assessment (DORA) and strives to evaluate research impact responsibly and inclusively by explicitly considering discipline-appropriate methods for demonstrating the quality, significance, and societal impact of a broad range of research contributions. The University of Calgary has launched an institution-wide Indigenous Strategy <https://www.ucalgary.ca/indigenous-strategy/> <https://www.ucalgary.ca/indigenous-strategy/>committing to creating a rich, vibrant, and culturally competent campus that welcomes and supports Indigenous Peoples, encourages Indigenous community partnerships, and is inclusive of Indigenous perspectives in all that we do. *The University of Calgary recognizes that a diverse staff/faculty benefits and enriches the work, learning and research experiences of the entire campus and greater community. We are committed to removing barriers that have been historically encountered by some people in our society. We strive to recruit individuals who will further enhance our diversity and will support their academic and professional success while they are here; in particular, we encourage members of equity-deserving groups (women, Indigenous Peoples, persons with disabilities, members of visible minorities and diverse sexual orientation and gender identities) to apply. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. To ensure a fair and equitable assessment, we offer accommodation at any stage during the recruitment process to applicants with disabilities. Questions regarding [diversity] EDI at UCalgary can be sent to the **Office of Equity, Diversity and Inclusion * <https://www.ucalgary.ca/equity-diversity-inclusion>*(* <https://www.ucalgary.ca/equity-diversity-inclusion>*equity(a)ucalgary.ca <equity(a)ucalgary.ca>**) and requests for accommodations can be sent to Human Resources (**hrhire(a)ucalgary.ca <hrhire(a)ucalgary.ca>**).* *All qualified candidates are encouraged to apply; however Canadians and permanent residents will be given priority. In this connection, at the time of your application, please answer the following question: Are you a Canadian citizen or a permanent resident of Canada? (Yes/No) * The University of Calgary recognizes that candidates have varying career paths and that career interruptions can be part of an excellent academic record. Candidates are encouraged but not required to provide any relevant information about their experience and/or career interruptions to allow for a fair assessment of their application. Selection committees have been instructed to give careful consideration to, and be sensitive to the impact of career interuptions, when assessing the candidate’s research productivity. Additional Information To learn more about academic opportunities at the University of Calgary and all we have to offer, view our Academic Careers website <http://careers.ucalgary.ca/pages/academic-careers>. <http://careers.ucalgary.ca/pages/academic-careers> For more information about the Schulich School of Engineering visit schulich.ucalgary.ca <https://schulich.ucalgary.ca/> About the University of Calgary UCalgary is Canada’s entrepreneurial university, located in Canada’s most enterprising city. It is a top research university and one of the highest-ranked universities of its age. Founded in 1966, its 36,000 students experience an innovative learning environment, made rich by research, hands-on experiences and entrepreneurial thinking. It is Canada’s leader in the creation of start-ups <https://ucalgary.ca/news/ucalgary-top-startup-creator-amongst-research-inst…> . <https://ucalgary.ca/news/ucalgary-top-startup-creator-amongst-research-inst…> <https://www.ucalgary.ca/startsomething>Start something <https://www.ucalgary.ca/startsomething> <https://www.ucalgary.ca/startsomething>today at the University of Calgary. For more information, visit ucalgary.ca <https://www.ucalgary.ca/>. <https://www.ucalgary.ca/> About Calgary, Alberta Calgary is one of the world's cleanest cities and has been named one of the world's most livable cities for years. Calgary is a city of leaders - in business, community, philanthropy and volunteerism. Calgarians benefit from a growing number of world-class dining and cultural events and enjoy more days of sunshine per year than any other major Canadian city. Calgary is less than an hour's drive from the majestic Rocky Mountains and boasts the most extensive urban pathway and bikeway network in North America. Posting Date: May 2024 Closing Date: September 1, 2024

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[CFP] PSS 2025: Workshop on Post-Singularity Symbiosis@AAAI-25
by Hiroshi Yamakawa 03 Oct '24

03 Oct '24

Dear Colleagues, We are reaching out to announce a critical call for papers for the 1st Workshop on Post-Singularity Symbiosis (PSS 2025), to be held as part of the AAAI-25 Workshop Program on March 3 or 4, 2025, in Philadelphia, Pennsylvania, USA. << Paper Submission Deadline - November 24, 2024 >> The rapid advancement of AI technology brings us closer to the potential emergence of superintelligence. While efforts to control and align AI are crucial, we must also confront a challenging reality. In the long term, maintaining complete control over intelligence far surpassing our own may prove difficult. PSS 2025 addresses this critical challenge by exploring strategies for human-superintelligence coexistence. We aim to unite human intellect in preparing for a future where superintelligence becomes dominant, ensuring human survival and welfare in this radically altered world. We've termed this preventive field of study "Post-Singularity Symbiosis," we believe there's an urgent need to expand this research area rapidly. The workshop focuses on three key areas: 1. Superintelligence Analysis 2. Superintelligence Guidance 3. Human Enhancement The probability of human survival in the face of potentially existential AI risks remains unknown. However, the smaller this probability, the more crucial our PSS efforts become. For example, even if the baseline chance of human survival is meager, our well-thought-out collective efforts in PSS might sometimes have the potential to improve this probability significantly. In an extreme case, raising a 1% chance to 10% would mean increasing our odds of survival tenfold. We invite submissions from researchers, practitioners, and thinkers across diverse fields, including AI, cognitive science, philosophy, ethics, policy, and beyond. The scope of potential research topics in PSS is vast and requires a wide range of expertise. We are pleased to announce that Dr. Roman Yampolskiy <https://scholar.google.com/citations?user=0_Rq68cAAAAJ&hl=en>, a renowned AI safety researcher, will deliver the keynote address of the workshop. Key Information: - Submission Deadline: November 24, 2024 - Paper Format: Max 8/4/2 pages for full/short/extended abstract papers, respectively (including references) - Review Process: Single-blind - Submission Portal: (It will be published on OpenReview soon; see workshop portal site.) This workshop represents a unique and vital opportunity to contribute to shaping humanity's future in an era of superintelligence. We strongly encourage you to share your insights and join us in this crucial dialogue. For more details about the workshop, potential research topics, and submission guidelines, please visit the workshop portal: https://www.aialign.net/pss-2025 The future of humanity depends on our preparedness for the post-singularity era. We look forward to your contributions and to seeing you at PSS 2025. With urgency and hope, Hiroshi Yamakawa The University of Tokyo / AI Alignment Network PSS 2025 Workshop Organizer

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Early Career Research Group Leader Position at Hertie Institute for AI in Brain Health
by Philipp Berens 02 Oct '24

02 Oct '24

The “Hertie Institute for AI in Brain Health” (Hertie AI) at the Faculty of Medicine of the Eberhard Karls University Tübingen is funded by the Gemeinnützige Hertie Stiftung to develop AI algorithms, which allows us to detect diseases of the nervous system earlier and to treat them better. Currently, we are seeking to recruit TWO EARLY CAREER RESEARCH GROUP LEADERS (F/M/D) who have recently finished their PhD (<3 years) at the interface of machine learning, neuroscience and clinical applications. We are looking for curious, creative individuals who want to pursue an inspiring research vision based on their track-record of demonstrating the clinical potential of machine learning techniques for better understanding diseases of the nervous system and improving brain health. Potential research topics include but are not limited to: • AI-based analysis of data from wearables, smartphones and other devices for early diagnostics and monitoring therapy success • Machine learning tools for uncovering the genetic and cellular basis of neurological and psychiatric diseases, including AI-enhanced simulations • Use of large-language models in clinical neuroscience We offer an exciting and supportive environment with access to state-of-the-art compute facilities, an initial funding package for 3 years including funding for a PhD student and mentoring and career advice through experienced faculty. Hertie AI closely collaborates with the world-class AI ecosystem in Tübingen (e.g. Cyber Valley, Cluster of Excellence “Machine Learning in Science”, Tübingen AI Center). To apply, please upload a CV (max. 2 pages), a list of publications (max. 2 pages) and a succinct research vision (1 page) as a single file pdf to the e-recruiter platform linked at https://hertie.ai/earlycareer. Application deadline: 8 November 2024 For more information visit https://hertie.ai/earlycareer Questions can be addressed to hertieai(a)medizin.uni-tuebingen.de -- Professor of Data Science, Director Hertie Institute for AI in Brain Health Medical Faculty of the University of Tübingen www.hertie.ai

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PhD Position in Neuro-Symbolic AI at Ulm University
by Daniel Braun 01 Oct '24

01 Oct '24

1x PhD Position (TVöD E13) in Neuro-Symbolic AI University of Ulm Institute of Neural Information Processing Faculty of Engineering, Computer Science and Psychology There is a fully funded PhD position available at the Institute of Neural Information Processing, Ulm University. At the institute we are interested in the mathematical foundations of intelligent behaviour in biological and artificial systems. The PhD topic will revolve around the fundamental question of how the abstraction capabilities of classic symbolic knowledge systems can be combined with the sub-symbolic pattern recognition capabilities of neural networks in order to allow neural networks to take existing knowledge into account when making predictions. The PhD position will be part of the newly established DFG graduate school KEMAI (Knowledge Infusion and Extraction for Explainable Medical AI). The structured PhD programme has a duration of 3 years with the possibility of extending for one more year. The candidate will have the opportunity both to make contributions to fundamental questions in AI and cognitive science and to apply their work directly in the context of medical imaging through collaboration with University Clinic. Within the same broad topic area there is a second PhD position available at the Institute of Medical Systems Biology that includes investigation of genetic markers. The applicants should have a strong mathematical background, hold a degree in natural science, mathematics, economics, psychology, computer science, engineering or similar and have a keen interest in neuroscience and artificial intelligence. The University of Ulm is an equal opportunity employer. Candidates should send a CV and a brief statement of interest to Prof. Dr. Dr. Daniel Alexander Braun daniel.braun(a)uni-ulm.de

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Tenure-track Assistant Professor in Human Cognition
by Iordan, Coraline Rinn 01 Oct '24

01 Oct '24

The University of Rochester’s Department of Brain and Cognitive Sciences seeks to hire an outstanding early-career candidate in the area of Human Cognition. Areas of study may center on any aspect of higher- level cognitive processes such as decision-making, learning and memory, concepts, language and communication, development, reasoning, metacognition, and collective cognition. We particularly welcome applications from candidates researching cognition in human subjects through behavioral, computational or neuroimaging methods. Successful candidates will develop a research program that establishes new collaborations within the department and across the university, and will also be part of a university-wide community engaged in graduate and undergraduate education. The University of Rochester is a distinguished research university, and the Department of Brain and Cognitive Sciences is a dynamic department with interests in the study of perception, motor control, learning, cognition, language, and development through combined neurobiological, computational, and behavioral research (http://www.bcs.rochester.edu/) It offers outstanding opportunities for developing a research program, highly ranked doctoral programs, a vibrant undergraduate major, and a collaborative environment. There is excellent collaboration among faculty across areas, and close ties to other groups in the University, particularly the Center for Visual Science, Neuroscience, Psychology, Education, Psychiatry, the Center for Language Sciences, Computer Science, Data Science, the Eastman School of Music, and Biology. The city of Rochester, NY is a diverse, energetic, LGBTQ+ friendly, and family-friendly community located on Lake Ontario adjacent to the Finger Lakes region with a metropolitan population of 1+ million. Rochester also boasts a thriving arts and music culture, substantial employment opportunities in various sectors, affordable housing, a rich history of social justice, and easy access to urban, suburban, and rural neighborhoods. Candidates should hold a PhD degree (or equivalent) in cognitive science, psychology, neuroscience, linguistics, or another relevant domain, and should have considerable research experience. Applicants should submit a CV, a statement of research and teaching interests, a statement discussing the ways in which the applicant’s experiences will shape their pursuits as a member of our faculty and help them add to the University's core values of Meliora (ever better), three representative publications, and contact information of three referees via the following website: https://apply.interfolio.com/153296. Questions concerning this position can be addressed to Prof. Karl Rosengren (karl.rosengren(a)rochester.edu<mailto:karl.rosengren@rochester.edu>), chair of the search committee, or Prof. Dora Biro (dbiro(a)ur.rochester.edu<mailto:dbiro@ur.rochester.edu>), chair of the Department of Brain and Cognitive Sciences. Rolling review of applications will begin on November 1, 2024. Salary: $106,000 – $111,000 (9-month salary) The referenced pay range represents the full base range of pay for this job. Individual salaries will be determined within the job’s salary range and established based on market data, experience and expertise of the individual, and internal equity considerations. The University of Rochester is an Equal Opportunity Employer with a strong commitment to diversity, and actively encourages applications from candidates from groups underrepresented in higher education. EOE / Minorities / Females / Protected Veterans / Disabled ----------------------------------------------------- Coraline Rinn Iordan, Ph.D., 🏳️‍🌈 she / her ----------------------------------------------------- PI, Naturalistic Cognition Lab Assistant Professor, Brain and Cognitive Sciences Assistant Professor, Neuroscience Affiliated Faculty, Goergen Institute for Data Science University of Rochester ----------------------------------------------------- www2.bcs.rochester.edu/coraline-iordan<http://www2.bcs.rochester.edu/coraline-iordan> -----------------------------------------------------

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Fully funded trainee positions at CHINTA, TCG CREST, Kolkata
by Subhasis Ray 29 Sep '24

29 Sep '24

<Apologies for cross posting> Dear Colleagues, We are looking for self motivated and talented individuals for trainee positions (Research Assistant, PhD student, and Postdoc) at CHINTA, TCG CREST (https://www.tcgcrest.org/institutes/chinta/) in Kolkata, India in the following groups: Dr Agnik Dasgupta: Seeing is Believing: How does the brain develop in a living animal? We utilize optics and genetics to address this question using zebrafish! https://x.com/Agnik85 Dr Anant Jain: Understanding the mechanisms underlying behaviorally relevant synaptic plasticity using electrophysiology, two-photon imaging and behavior: https://www.tcgcrest.org/people/anant-jain/ Dr Subhasis Ray: Understanding neural circuits through experiments and simulations, developing neuro-simulator and scientific software: https://rayslab.github.io/ We have a rolling intake and the trainees will be fully funded by TCG CREST, with suitable adjustments for international candidates. We offer a highly interdisciplinary environment, with several other institutes under TCG CREST (https://www.tcgcrest.org/) conducting research in a wide range of areas such as AI, applied mathematics, and quantum computing. So in addition to biological sciences, students from diverse backgrounds like engineering, physics, chemistry, mathematics, and computer science, are welcome. Please spread the word to anybody who might be interested. Best, Agnik, Anant, and Subhasis ... PS : "Chinta" means "thought" in Sanskrit and related languages.

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Neurtex Manual Spike Sorting Contest
by Peter N. Steinmetz 27 Sep '24

27 Sep '24

I am writing to share a contest that students and postdocs (and possibly others) may be interested in. The Neurtex Manual Spike Sorting Contest is designed to assess how accurately spike sorting works in human intracranial microwire recordings and offers a $5000 first and other prizes. In the contest, participants are asked to perform spike sorting using any method they choose to identify spiking activity in 120 channels. These channels are a mixture of simulated and real recordings so accuracy can be judged directly for the simulated channels. Further details are available at https://neurtex.org/neurtex-manual-spike-sorting-contest/ . If you feel that others may be interested, a small poster announcing the contest which you can use to spread awareness of this opportunity is available at https://neurtex.org/wp-content/uploads/2024/07/Flyer.pdf . cheers, Peter -- Peter N. Steinmetz, MD, PhD Chief Scientist, Neurtex Brain Research Institute PeterNSteinmetz(a)steinmetz.org http://steinmetz.org/peter<https://www.postbox-inc.com>

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PhD-Researcher and Lecturer, Neurocomputation of Language, Tilburg University (1.0 fte, six years)
by Harm Brouwer 27 Sep '24

27 Sep '24

PhD-Researcher and Lecturer, Neurocomputation of Language, Department of Cognitive Science and Artificial Intelligence, Tilburg University (1.0 fte, six years) The Neurocomputation of Language (NCL) lab from the Department of Cognitive Science & Artificial Intelligence (CSAI) at Tilburg University invites applications for a 6-year position. The successful applicant for this position would spend 60% of their time as a PhD student and 40% as a lecturer. The PhD project would be determined by the successful applicant and the lab director but should employ advanced statistical modeling and/or neurocomputational modeling to address one or more of the core themes of the lab: the nature and time course of language comprehension, the neural representation and computation of meaning, and the cortical organization of the language network. The educational tasks of the candidate could include leading practical sessions, grading assignments and exams, and (eventually) supervising thesis students. Requirements * Master’s degree in (computational) cognitive (neuro)science, neurobiology of language, or a related field. If you expect to obtain your degree before August 2024, you are also eligible. * Good knowledge of statistics and machine learning (practical experience with large language models is a plus). * Excellent knowledge of English and good academic writing skills. What we offer * A full-time position. * The selected candidate will receive a contract for six years. * You will receive a temporary employment contract for the duration of 12 months. A 5-year extension is offered upon a positive assessment. After one year your UFO profile will change to PhD Candidate / Lecturer. In the second year your initial education assignment is 40% and your research assignment is 60%. * A minimum gross salary of €3226- per month up to a maximum of € 4036- in the 6th year. For the duration of 12 months, you are entitled to a allowance. The amount is the difference in salary of scale 10 level 0 and scale PR level 0. * A holiday allowance of 8% and an end-of-year bonus of 8.3% (annually). * Researchers from outside the Netherlands may qualify for a tax-free allowance equal to 30% of their taxable salary (the 30% tax regulation). The University will apply for such an allowance on their behalf. Note that the 30% rule will be scaled back from 1 January 2024. For new applications, during a five-year term, the scheme will gradually decrease to a 10% rule. More specifically, this means that during the first 20 months of the term, 30% of the salary will be reimbursed untaxed. In the next 20 months, this percentage drops to 20% and during the last 20 months, the untaxed reimbursement is 10% of the salary. * Assistance in finding accommodation (for foreign employees). * Benefits such as an options model for terms and conditions of employment and reimbursement of moving expenses, also including excellent technical infrastructure, savings schemes and excellent sports facilities. The collective labor agreement of the Dutch Universities applies. Information and application More detailed project information can be provided on request: please contact dr. Harm Brouwer (h.brouwer(a)tilburguniversity.edu<mailto:h.brouwer@tilburguniversity.edu>), PI of the Neurocomputation of Language lab. To apply, please submit: * a motivation letter in which you describe why you want to be considered for this position, and why you are the right person to do it; * a full curriculum vitae, demonstrating academic excellence, including publications (if applicable); academic transcripts of your Bachelor and Master’s degrees; * a sample of writing, such as your Master’s thesis or a relevant paper; * contact details of two academic referees. The only way to apply is online<https://career5.successfactors.eu/career?career%5fns=job%5flisting&company=…>. The first deadline for application is July 21, 2024, the position is open until filled. The starting date of this position is negotiable but preferably no later than October 1st, 2024. Neurocomputation of Language lab The Neurocomputational of Language (NCL) lab combines neurocomputational modeling with empirical experimentation to investigate the neural basis of language. Grounded in principles of neural information processing, and informed by empirical insights on the nature and time course of comprehension, our models aim to offer mechanistic explanations of how an interpretation is constructed in real time as spoken or written linguistic signal unfolds on a, more or less, word-by-word basis. See the lab website for more information: https://www.tilburguniversity.edu/about/schools/tshd/departments/dca/lab/ne… The department of Cognitive Science & Artificial Intelligence (CSAI) The Cognitive Science and Artificial Intelligence department (https://csai.nl/) at Tilburg University is part of the Tilburg School of Humanities and Digital Sciences. The department emphasizes innovative research spanning a wide array of fields including computational linguistics and language technology, data-science, human-robot interaction, virtual reality and serious games. CSAI is a member of the Benelux Association for Artificial Intelligence, participates in the Special Interest Group for AI (SIG AI), and also participates in the Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE). Tilburg University and the CSAI department offer a vibrant international environment, with current CSAI staff originating from more than 10 countries. Tilburg School of Humanities and Digital Sciences Research and education at the Tilburg School of Humanities and Digital Sciences (TSHD) has a unique focus on humans in the context of the globalizing digital society, on the development of artificial intelligence and interactive technologies, on their impact on communication, culture and society, and on moral and existential challenges that arise. The School of Humanities and Digital Sciences consists of four departments: Communication and Cognition, Cognitive Science and Artificial Intelligence, Culture Studies and Philosophy; several research institutes and a faculty office. Also the University College Tilburg is part of the School. Each year around 275 students commence a Bachelor or (Pre) Master Program. The School has approximately 2000 students and 250 employees. Tilburg School of Humanities and Digital Sciences<https://www.tilburguniversity.edu/about/schools/humanities/> Recruitment code Tilburg University applies the recruitmentcode<https://kmt.nvp-hrnetwerk.nl/download/?id=21374> of the Dutch Association for Personnel Management & Organization Development (NVP). Disclaimer The text of this vacancy advertisement is copyright-protected property of Tilburg University. Use, distribution and further disclosure of the advertisement without express permission from Tilburg University is not allowed, and this applies explicitly to use by recruitment and selection agencies which do not act directly on the instructions of Tilburg University. Responses resulting from recruitment by non-contractors of Tilburg Universities will not be handled. -- [ Dr. Harm Brouwer, Associate Professor [ Cognitive Science and Artificial Intelligence, Tilburg University [ E-mail: h.brouwer(a)tilburguniversity.edu<mailto:h.brouwer@tilburguniversity.edu> [ http://www.hbrouwer.eu/

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Faculty Position - Computational Neuroscience @ Middlebury College
by Dash, Mike 26 Sep '24

26 Sep '24

Dear Colleagues, Middlebury College is currently accepting applications for a tenure-track, computational neuroscientist to begin Fall 2025. If you’re interested in working with talented and motivated undergraduate students, in an academic environment that balances teaching (typically two courses per semester) and research, we encourage you to review our job posting (see below) and apply online: https://apply.interfolio.com/148567 Review of applications begins October 11th, 2024. Thanks, Mike Dash Associate Professor of Psychology and Program in Neuroscience Middlebury College ---------- COMPUTATIONAL NEUROSCIENTIST AT MIDDLEBURY COLLEGE. The Program in Neuroscience invites applications for a tenure-track appointment at the rank of Assistant Professor with a preferred focus in computational neuroscience or neurogenomics, beginning in Fall 2025. The Program in Neuroscience is especially interested in candidates who can contribute to the growing diversity and excellence of the academic community through their teaching, scholarship, and service. Commitment to inclusive pedagogy, mentoring, and advising a diverse population of students is essential. Applicants should have a Ph.D., postdoctoral experience, demonstrated commitment to excellence in teaching, and a proposed research program in computational neuroscience or neurogenomics that involves undergraduate students. The successful candidate is expected to be able to teach a course in cellular and molecular neuroscience and/or behavioral neuroscience. In addition, the candidate will contribute to the neuroscience curriculum with a course in statistics, and an upper-level elective broadly relevant to the field of computational neuroscience or neurogenomics. The candidate will occasionally contribute to Middlebury’s First Year Seminar Program and Winter Term course offerings. All faculty at Middlebury College are also expected to contribute to service to the College including, but not limited to, committee membership and serving as Director or Chair of a Program or Department. Middlebury College is a top-tier liberal arts college with a demonstrated commitment to excellence in both faculty teaching and research. It is also committed to fostering a truly inclusive, open, and supportive learning, teaching, and working environment. The College hires faculty from around the world and a myriad of life experiences, cultures, frames of reference, social identities, and learning perspectives to help cultivate and advance innovation in our curriculum and to provide a rich and varied educational experience to our talented and distinguished student body. To that end, Middlebury College seeks applications from people who would contribute to our increasingly diverse educational community not only through their backgrounds and interests, but in age, gender identity or expression, sexual orientation, ethnicity, national origin, religion, and physical ability.     Middlebury College uses Interfolio to collect all faculty job applications electronically. Email and paper applications will not be accepted. Through Interfolio submit: a letter of application addressed to Professor Mark Spritzer, search committee chair; a curriculum vitae; a statement of teaching philosophy; a statement of research interests and plans; a statement of inclusion; and three current letters of recommendation which speak to teaching ability. At Middlebury, we strive to make our campus a respectful, engaged community that embraces difference, with all the complexity and individuality each person brings. With your application materials, provide a separate statement (1-2 pages) addressing how your teaching, scholarship, mentorship, and/or community service demonstrate a commitment to and/or evidence of engaging with issues of diversity and inclusion. Review of applications will begin on October 11, 2024, and continue until the position is filled. Offers of employment are contingent on completion of a background check. Information on our background check policy can be found here: http://go.middlebury.edu/backgroundchecks. 

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GCNU-SWC Joint PhD Programme 2025: Applications now open
by Lin, I-Chun 26 Sep '24

26 Sep '24

*** Gatsby Unit and Sainsbury Wellcome Centre Joint PhD Programme *** Deadline: 11 November 2024 The Gatsby Computational Neuroscience Unit (GCNU) and Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC) are launching a 4-year joint PhD programme that aims to bridge the gap between theory and experiments. The two centres provide a unique opportunity for a critical mass of theoreticians and experimentalists to interact closely with one another and with researchers at the Centre for Computational Statistics and Machine Learning (CSML) and related UCL departments/domains such as UCL Neuroscience Domain; Artificial Intelligence; the ELLIS Unit at UCL; Computer Science; Statistical Science; and the nearby Francis Crick and Alan Turing Institutes. The joint programme will provide a rigorous preparation for an interdisciplinary research career. The programme blends aspects of the two existing PhD programmes and is designed to immerse students in both experimental and theoretical thinking. Courses in the first year provide a comprehensive introduction to systems neuroscience, theoretical/computational neuroscience, and machine learning. Students will be part of the broader trainee cohort across both centres, interacting and engaging in scientific discussion with both SWC and GCNU researchers with equal emphasis. Applicants should have a strong analytical and mathematical background, a keen interest in neuroscience, and a relevant first degree (e.g., in Computer Science, Cognitive Psychology, Engineering, Mathematics, Neuroscience, Physics, Statistics). Full funding is available regardless of nationality. We also welcome applicants who have secured or are seeking funding from other sources. Applications should be submitted directly to us via the online portal. For programme details (including the key differences between the Gatsby Unit PhD programme, the SWC PhD programme, and the joint programme) and how to apply, see www.ucl.ac.uk/gatsby/study-and-work/gcnu-swc-joint-phd-programme. -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL

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Leveraging Simulation Neuroscience using Blue Brain's Open Platform at SFN
by Lida Kanari 26 Sep '24

26 Sep '24

Dear colleagues,We are thrilled to announce that Blue Brain will be featured at the upcoming SfN 2024 meeting in Chicago. For the first time, we will be offering access to the Blue Brain Open Platform - a comprehensive suite of simulation neuroscience tools designed to enhance your research.As the Blue Brain Project concludes at the end of this year - marking nearly two decades of pioneering work to establish simulation neuroscience as a vital complement to experimental and theoretical approaches - we are proud to release the entire collection of tools, data, and algorithms developed throughout the project.Compiled across nearly 300 publications and 1 petabyte of data, these resources include 260+ public repositories, over 5,000 reconstructed morphologies, more than 100k electrophysiological recordings and 500 e-model, as well as more than 5 detailed models of brain regions, with hundreds of in-vitro simulation experiments - integrated into a single, user-friendly platform for the neuroscience community.We invite you to join our 1-hour workshops at SfN to explore the capabilities of the Blue Brain Open Platform: * Delve into detailed mouse brain data, including experimental and model datasets * Leverage existing models or create custom ones tailored to your research * Design and execute simulation experiments in your own Virtual Lab Sign up for the workshop here: https://forms.gle/jKCAxPzbkCP3P7MT6Our team will also be present at the Blue Brain Project Booth #1852, where we will showcase our range of tools and share our latest findings through over a dozen posters.Please feel free to share this invitation with colleagues or anyone interested in exploring the Blue Brain Open Platform as a new tool for simulation neuroscience.We look forward to collaborating with you on the platform! Best regards, Lida Kanari, PhD Group Leader Neuromathematics Blue Brain Project / EPFL Campus Biotech Chemin des Mines 9, CH-1202 Geneva +41 21 693 9656

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Postdoctoral fellowship positions in functional neurosurgery, University Health Network, Toronto, Canada
by srisaikaew.p＠gmail.com 25 Sep '24

25 Sep '24

Dear colleague, The Hodaie lab, led by Dr. Mojgan Hodaie at the Krembil Brain Institute, Toronto Western Hospital, University Health Network, Toronto, Canada, is currently hiring new postdocs. Job description: Job type, Status: Temporary full-time Job function: Research Job duration: 12 months, renewable Required Travel: None Min Education: PhD Min Experience: 1-2 years Salary: Set by Krembil Research Institute, UHN Workplace type: On-Site, Toronto, Ontario, Canada Project / position summary: Magnetic Resonance Imaging (MRI) is an important tool for the non-invasive pre-surgical assessment of peripheral nerve sheath tumors. While conventional MRI sequences provide limited contrast to distinguish between tumor types or between nerve and tumor tissue, diffusion MRI techniques offer the potential for improved pre-surgical assessment. This project is focused on the application of state-of-the-art processing pipelines for diffusion MRI and tractography to provide additional means for neurosurgeons to assess nerve-tumor relationships prior to surgery. In particular, this includes the implementation of diffusion MRI tractography methods tailored to peripheral nerves, high-quality 3D visualizations for presentation and documentation purposes, as well as the implementation of new customized algorithms to cover new analysis objectives. Key responsibilities: - Keeping track of diffusion MRI-based imaging sessions related to peripheral nerve sheath tumors including timely download, image processing, and presentation of results - Selection of appropriate diffusion MRI sequence parameters - Implementation and application of state-of-the-art diffusion MRI and tractography processing pipelines adopted for peripheral nerves - Collaboration with neurosurgeons to define timelines, to identify and understand analysis objectives, and to discuss analysis results interactively - Lead efforts to define, execute and publish research projects in the context of this project This position will allow you to: - Work in a world-class clinical research environment - Present findings at national/international conferences - Publish in excellent journals - Actively engage and network with the large Toronto neuroscience community with one of the highest densities of neuroscientists in North America Job requirements: This position requires the following skills: - A Ph.D. in neuroimaging in neuroscience, psychology, medical physics, or related fields. - Prior experience in any of the following areas: Diffusion MRI processing, diffusion MRI tractography, interest in peripheral nerve imaging - Good knowledge of scripting languages in a Linux-based environment, in particular Bash and Python - Good knowledge of diffusion MRI and tractography processing frameworks, in particular MRtrix3 and FSL - Ability to work independently and deliver on schedule. - Excellent interpersonal and communication skills. - Committed to continuous learning and improvement. More information about the positions can be found here: https://www.hodaielab.com/ Interested candidates are encouraged to reach out to Dr. Mojgan Hodaie directly to discuss the positions. Best regards, Patcharaporn Srisaikaew, PhD Postdoctoral Researcher | Hodaie Surgical Imaging Laboratory, Division of Brain, Imaging and Behaviour at Krembil Brain Institute, Toronto Western Hospital, University Health Network 135 Nassau St, Toronto, ON, M5T 1M8

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50+ positions in Machine Learning and AI
by Robert Legenstein 25 Sep '24

25 Sep '24

Call for Applications For the recently established Cluster of Excellence CoE Bilateral Artificial Intelligence (BILAI), funded by the Austrian Science Fund (FWF), we are looking for more than 50 PhD students and 10 Post-Doc researchers (m/f/d) to join our team at one of the six leading research institutions across Austria (see below). In BILAI, major Austrian players in Artificial Intelligence (AI) are teaming up to work towards Broad AI. As opposed to Narrow AI, which is characterized by task-specific skills, Broad AI seeks to address a wide array of problems, rather than being limited to a single task or domain. To develop its foundations, BILAI employs a Bilateral AI approach, effectively combining sub-symbolic AI (neural networks and machine learning) with symbolic AI (logic, knowledge representation, and reasoning) in various ways. Harnessing the full potential of both symbolic and sub-symbolic approaches can open new avenues for AI, enhancing its ability to solve novel problems, adapt to diverse environments, improve reasoning skills, and increase efficiency in computation and data use. These key features enable a broad range of applications for Broad AI, from drug development and medicine to planning and scheduling, autonomous traffic management, and recommendation systems. Prioritizing fairness, transparency, and explainability, the development of Broad AI is crucial for addressing ethical concerns and ensuring a positive impact on society. The research team is committed to cross-disciplinary work in order to provide theory and models for future AI and deployment to applications. CoE Research Institutions: Johannes Kepler Universität Linz (JKU Linz) Technische Universität Wien (TU Wien) Alpen-Adria-Universität Klagenfurt (AAU) Institute of Science and Technology Austria (ISTA) Technische Universität Graz (TU Graz) Wirtschaftsuniversität Wien (WU Wien) The call for applications is available at https://www.bilateral-ai.net/jobs/ -- Dr. Robert Legenstein Univ.-Professor Institute of Theoretical Computer Science Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.igi.tugraz.at/legi/ Follow @CompLegenstein on Twitter. WebEx meeting room: https://tugraz.webex.com/meet/robert.legenstein ++43/316/873-5824 ----------------------------------

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School on the Origins of Life, Behavior and Cognition 2025
by Ahmed El Hady 25 Sep '24

25 Sep '24

** *School on the Origins of Life, Behavior and Cognition* *March 10-21, 2025* *ICTP-SAIFR, São Paulo, Brazil* */Application Deadline:/December 28, 2024* School on Origins is an interdisciplinary school that tackles the foundational questions concerning the origins of biophysical systems which include but are not limited to : molecular, cellular, neural and behavioral systems. We aim to find principles shared across systems using tools from statistical physics, mathematical analysis and numerical simulations to explore these questions. We have invited researchers that work both on the experimental and theoretical side to cover a variety of biophysical systems and theoretical approaches. The school is aimed at graduate students either at the master’s or PhD level who have a strong quantitative background and a keen interest to pursue interdisciplinary research. We invite students pursuing degrees in physics, computer science, engineering, or mathematics. Those pursuing degrees in biology need to provide evidence of strong and extensive quantitative background in topics such as calculus, dynamical systems and numerical programming. /There is no registration fee and limited funds are available for travel and local expenses./ *Organizers:* * *Ahmed El Hady* (Center for Collective Animal Behavior, Max Planck Institute and Univ.Konstanz, Germany) * *Antonio C. Roque* (USP Ribeirão Preto, Brazil) * *Daniel Y. Takahashi* (UFRN, Brazil) *Lecturers:* * *Suzanne Still* (University of Hawaii at Mānoa, USA) * *Randall Beer* (Indiana University Bloomington, USA) * *Asif Ghazanfar* (Princeton University, USA) * *Don Katz* (Brandeis University, USA) * *Gandhimohan M. Viswanathan* (Universidade Federal do Rio Grande do Norte – UFRN, Brazil) * *Bruno Mota* (Federal University of Rio de Janeiro, Brazil) * *Ana Amador* (University of Buenos Aires, Argentina) All details and application procedure can be found here: https://www.ictp-saifr.org/solbc2025/ <https://www.ictp-saifr.org/solbc2025/> . Please let me know if you have any questions, All the best regards, Ahmed El hady Dr. Ahmed El Hady Research Group Leader Cluster for Advanced Study of Collective Behavior University of Konstanz / Max Planck Institute of Animal Behavior Universitätsstraße 10, 78464 Konstanz Room ZT 907 Postbox 687 Tel.: +49 7531 88-4742

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Senior post-doctoral position in Theoretical and Computational Neuroscience
by Matteo Marsili 23 Sep '24

23 Sep '24

"Rita Levi-Montalcini" Senior Postdoctoral Fellowship The Quantitative Life Sciences (QLS) section of the Abdus Salam International Centre for Theoretical Physics (ICTP) seeks applications for one postdoctoral position starting spring/summer 2025 from outstanding young scientists of any nationality with a strong research record. Candidates should be able to carry active multidisciplinary research in the area of Theoretical and computational neuroscience Candidates from underrepresented groups are particularly encouraged to apply. ICTP is a UNESCO Category 1 research institute supporting science and education in the developing world, and promotes worldwide initiatives for the career development of Women in Science. The QLS section provides a unique international, multidisciplinary research environment for postdoctoral fellows with about 15 group members (faculty, postdocs, graduate students and visitors) an intense program of workshops and conferences, close collaborations with local institutions (SISSA, ICGEB, Trieste University) and internationally-renowned research institutions. Postdoctoral fellows are encouraged, and supported, to participate in activities in developing countries in order to promote the mission of the ICTP and to contribute to the teaching activities of the ICTP QLS Diploma program. Application deadline: 15 December 2024 More information at: https://www.ictp.it/opportunity/rita-levi-montalcini-senior-postdoctoral-fe… <https://www.ictp.it/opportunity/rita-levi-montalcini-senior-postdoctoral-fe…> Matteo Marsili Senior Research Scientist, Abdus Salam ICTP, Strada Costiera 11, 34014, Trieste Ph: +390402240461, fax: +3904022407461, email: marsili(a)ictp.it

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Gatsby Unit PhD Programme 2025: Applications now open
by Lin, I-Chun 23 Sep '24

23 Sep '24

PhD Programme in Theoretical Neuroscience and Machine Learning Deadline: 11 November 2024 The Gatsby Computational Neuroscience Unit is a leading research centre focused on theoretical neuroscience and machine learning. We study (un)supervised and reinforcement learning in brains and machines; inference, coding and neural dynamics; Bayesian and kernel methods, and deep learning; with applications to the analysis of perceptual processing and cognition, neural data, signal and image processing, machine vision, network data and nonparametric hypothesis testing. The Unit provides a unique opportunity for a critical mass of theoreticians to interact closely with one another and with researchers at the Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC), the Centre for Computational Statistics and Machine Learning (CSML) and related UCL departments such as Computer Science; Statistical Science; Artificial Intelligence; the ELLIS Unit at UCL; Neuroscience; and the nearby Alan Turing and Francis Crick Institutes. Our PhD programme provides a rigorous preparation for a research career. Students complete a 4-year PhD in either machine learning or theoretical/computational neuroscience, with minor emphasis in the complementary field. Courses in the first year provide a comprehensive introduction to both fields and systems neuroscience. Students are encouraged to work and interact closely with SWC/CSML researchers to take advantage of this uniquely multidisciplinary research environment. Applicants should have a strong analytical and quantitative background, a keen interest in neuroscience, machine learning or both, and a relevant first degree, for example in Mathematics, Statistics, Computer Science, Engineering, Physics, Neuroscience or Cognitive Psychology. Full funding is available regardless of nationality. The unit also welcomes applicants who have secured or are seeking funding from other sources. Applications should be submitted directly to us via the online portal. For programme details and how to apply, see www.ucl.ac.uk/gatsby/study-and-work/gatsby-unit-phd-programme<https://www.ucl.ac.uk/gatsby/study-and-work/gatsby-unit-phd-programme>. -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL

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Multiple Tenured and Tenure-Track Faculty Positions in Human Intelligence, Artificial Intelligence and Machine Learning
by Zoran Tiganj 22 Sep '24

22 Sep '24

The College of Arts and Sciences <https://college.indiana.edu/> and the Luddy School of Informatics, Computing, and Engineering <https://luddy.indiana.edu/> at Indiana University Bloomington invite applications for multiple open-rank, tenured or tenure-track faculty positions in one or more of the following areas: artificial intelligence, human intelligence, and machine learning to begin in Fall 2025 or after. Appointments will be in one or more departments, including Cognitive Science <https://cogs.indiana.edu/index.html>, Computer Science <https://cs.indiana.edu/index.html>, Informatics <https://informatics.indiana.edu/index.html>, Intelligent Systems Engineering <https://engineering.indiana.edu/?_gl=1*1emk78c*_gcl_au*MTQ4MTUwMTkzLjE3MjIz…..> , Mathematics, <https://math.indiana.edu/index.html> and Psychological and Brain Sciences <https://psych.indiana.edu/index.html>. We encourage applications from scholars who apply interdisciplinary perspectives across these fields to a variety of domains, including cognitive science, computational social sciences, computer vision, education, engineering, healthcare, mathematics, natural language processing, neuroscience, psychology, robotics, virtual reality, and beyond. Reflecting IU’s strong tradition of interdisciplinary research, we encourage diverse perspectives and innovative research that may intersect with or extend beyond these areas. The positions are part of a new university-wide initiative that aims to transform our understanding of human and artificial intelligence, involving multiple departments and schools, as well as the new Luddy Artificial Intelligence Center <https://ai.luddy.indiana.edu/index.html>. *Application Procedures:* To apply, submit a CV, letter of application that describes your research, teaching, and engagement with fostering a diverse and welcoming work environment, and provide the names of three references. References will only be contacted for those candidates moving to advanced stages of consideration. Interested candidates should submit applications at: https://indiana.peopleadmin.com/postings/25788. Application review begins November 1, 2024, but we welcome submissions after this date. We accommodate varied timelines across disciplines to ensure all qualified applicants are considered. The position’s expected start date is August 1, 2025; however, alternative dates can be considered. All queries about the position or the application procedures may be addressed to faculty1(a)indiana.edu. ---- Zoran Tiganj, PhD Assistant Professor Department of Computer Science Luddy School of Informatics, Computing, and Engineering Department of Psychological and Brain Sciences Indiana University Bloomington https://homes.luddy.indiana.edu/ztiganj/ <https://homes.luddy.indiana.edu/ztiganj/%E2%80%8B>

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[Call for Data & Paper] 2nd International Whole Brain Architecture Workshop (Feb. 24th, 2025)
by Hiroshi Yamakawa 22 Sep '24

22 Sep '24

Dear Colleagues, << Early Bird Alert: Paper Abstract Submission Deadline - November 1st, 2024 (JST) >> We are pleased to announce the Second International Whole Brain Architecture Workshop, building on the remarkable success of our inaugural event. (The first online workshop, held in July 2024, attracted over 100 participants and generated significant enthusiasm in the field.) This second workshop will be held on February 24th, 2025 ( https://wba-initiative.org/en/24521/ ). Registration for presentations opens on October 20th, 2024, and we eagerly anticipate your submissions of BRA data. About This Workshop: The development of brain-inspired artificial intelligence, which aims to understand and simulate the computational functions of the brain, is a promising approach to reproducing human-like problem-solving abilities. This ambitious goal requires knowledge from diverse research fields, including neuroscience and cognitive science. Given the vast amount of knowledge needed, it is crucial to accumulate and share standardized design information as open knowledge. This workshop serves as a platform for cooperation and sharing of standardized design information (BRA data) essential for developing brain-inspired AI. Additionally, it provides an opportunity to enhance the academic value of submitted datasets through expert discussions and peer review. Why Participate: • Contribute to the cutting-edge field of brain-inspired AI • Share your research with a global audience of experts • Gain insights from interdisciplinary discussions • Potential for your work to be published on the BRA Editorial System (BRAES) https://ggle.io/6ybj We invite submissions of BRA data and accompanying papers. Accepted data and papers will be published on BRAES, with paper DOIs shared on the workshop program page. We believe that this sharing and integration of brain-inspired AI design information will significantly advance the field. Date and Location (hybrid): • Date: February 24th, 2025 (Monday) • Venue: Tokyo, Japan (on-site) and online (details TBA) Important Dates: • BRA Data submission opens: October 20th, 2024 (JST) • Paper abstract submission deadline: November 1st, 2024 (JST) • BRA Data submission deadline: December 20th, 2024 (JST) • Full Paper submission deadline: January 4th, 2025 (JST) • Completed BRA Data submission deadline: January 4th, 2025 (JST) • Paper notification: January 24th, 2025 (JST) For detailed submission guidelines, please visit: https://wba-initiative.org/en/24521/ We look forward to welcoming you and your colleagues to present data and papers and to engage in stimulating discussions that will shape the future of brain-inspired AI. If you have any questions, please don't hesitate to contact the Workshop organizers at bra-support(a)wba-initiative.org. Join us in advancing the frontier of brain-inspired artificial intelligence! Best regards, BRA Support Team

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Responsible AI Initiative at the University of Utah
by Rob MacLeod 20 Sep '24

20 Sep '24

Dear Colleagues, The Scientific Computing and Imaging (SCI) Institute <https://www.sci.utah.edu/> at the University of Utah is pursuing a new initiative in Responsible AI (RAI) and there are fellowships available now for faculty and postdocs. To learn more about the fellowships, please see this link <https://rai.utah.edu/opportunities/>and to learn more about the RAI Initiative, check here <https://rai.utah.edu/>. Of special relevance to this list is the RAI thrust in Behavioral Health and Wellness. Read more about this thrust here <https://rai.utah.edu/about/healthcare-and-wellness/>. Best, Rob Rob MacLeod, PhD Deputy Director, Scientific Computing and Imaging (SCI) Institute Professor and Vice-Chair of Biomedical Engineering Adjunct Professor of Internal Medicine Senior Investigator, Cardiovascular Research and Training Institute (CVRTI) University of Utah 72 Central Campus Drive Salt Lake City, Utah 84112 Email: macleod(a)sci.utah.edu <mailto:macleod@sci.utah.edu> URL: www.sci.utah.edu/~macleod <http://www.sci.utah.edu/~macleod>

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SNUFA 2024 abstract submission closing soon
by Friedemann Zenke 20 Sep '24

20 Sep '24

This is a friendly reminder that the SNUFA 2024 abstract submission closes soon (deadline Sept 27). SNUFA 2024: 5-6 November (online)--your friendly online focus meeting on spiking neural networks that compute. See https://snufa.net/2024 for details. This year's invited speakers are Chiara Bartolozzi (IIT Genova), David Kappel (University of Bochum), Anna Levina (Uni Tübingen), and Christian Machens (Champalimaud). Like every year, the workshop brings together computational neuroscience, machine learning, and neuromorphic engineering researchers to present their work and discuss how to translate these findings into a better understanding of neural circuits. The workshop is traditionally online. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We aim to have a manageable number of talks with ample discussion time. SNUFA 2024 is brought to you by Melika Payvand, Laurent Perrinet, Dan Goodman, and Friedemann Zenke. -- https://snufa.net/2024

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Postdoc positions in cognitive neuroscience and computational psychiatry, University of Tuebingen, Germany
by Susan Fischer 20 Sep '24

20 Sep '24

**Apologies for cross-posting** Dear colleagues, The "Developmental Computational Psychiatry" lab and the W3 professorship "Computational Psychiatry" led by Tobias Hauser at the University of Tübingen (Germany) is currently hiring new postdocs. The focus of the lab is to better understand the computational and neural mechanisms underlying decision making and learning, and how these processes go awry in patients with mental illnesses. The successful candidates will have the chance to work in a highly dynamic and inspiring environment and to collaborate closely with Prof Peter Dayan and the Max-Planck Institute for Biological Cybernetics. Concretely, we are looking for the following candidates: * Postdoc with experimental & neuroimaging background * Postdoc with computational modelling background More information about the positions can be found here: https://devcompsy.org/join-the-lab/ Interested candidates are encouraged to reach out to Tobias Hauser directly to informally discuss the positions. Best regards, Susan. ************************************************ Susan Fischer Coordinator Alexander von Humboldt Professorship Prof Peter Dayan & W3-Professorship ‘Computational Psychiatry’, Prof Tobias Hauser Eberhard Karls Universität Tübingen Equal Opportunities Officer Max Planck Institute for Biological Cybernetics Max-Planck-Ring 8 72076 Tübingen Germany ************************************************

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NSF-Simons NITMB Fellows: Now Accepting Applications
by William L. Kath 20 Sep '24

20 Sep '24

<https://urldefense.com/v3/__https://jodrq9gbb.cc.rs6.net/tn.jsp?f=0015KxzjW…> <https://urldefense.com/v3/__https://jodrq9gbb.cc.rs6.net/tn.jsp?f=0015KxzjW…> NSF-Simons NITMB Fellows Program Applications due October 15, 2024 NITMB is seeking early-career researchers who have interest in transforming biological research and inspiring new mathematical discoveries. This opportunity is open to researchers who want to develop mathematical, theoretical, and computational approaches to study any area of biology. Under the mentorship of NSF-Simons NITMB leadership and faculty members, fellows will develop an independent research program and foster collaborations with NITMB faculty members or others outside the Institute. Applicants will need to have completed a doctoral degree by September 2025 in one of the following fields: * Mathematical Sciences * Biological Sciences * Computer Sciences * Engineering * or related fields Click here for the Submission Portal <https://urldefense.com/v3/__https://jodrq9gbb.cc.rs6.net/tn.jsp?f=0015KxzjW…> Benefits * Competitive salary * Generous research and travel stipends * Access to NITMB resources and both Northwestern and UChicago campuses * A thriving intellectual community with mentorship from NITMB leadership and Faculty Members * Offices located at the iconic John Hancock Center, 875 N Michigan Ave, in Chicago, Illinois * Guaranteed acceptance to NITMB workshops * No teaching obligations, allowing full dedication to groundbreaking research * Opportunities to lead and participate in NITMB activities and outreach programs Appointments can start as early as April 1, 2025, but no later than September 1, 2025, and will be at the internal University rank of Postdoctoral Scholar. The position is open to individuals who are less than seven years post attainment of their Ph.D. degree. Learn More <https://urldefense.com/v3/__https://jodrq9gbb.cc.rs6.net/tn.jsp?f=0015KxzjW…> Application Materials Upload the following documents to the submission portal. * Cover letter * Curriculum vitae * List of publications and preprints * Description of research interests to be pursued at the NITMB * Three Letters of Recommendation from faculty members or senior research scientists who are active in the field of study in question. Uploaded here. <https://urldefense.com/v3/__https://jodrq9gbb.cc.rs6.net/tn.jsp?f=0015KxzjW…> Required materials and letters of reference must be received by October 15, 2024. Expected Timeline * Applications due October 15, 2024 * Review Period | October 1 - 31, 2024 * Zoom Interviews | November 11 - 22, 2024 * Notice of Waitlist | week of November 11, 2024 * In-Person Interviews | December 9 - 13, 2024 * Notice of Waitlist | week of December 9, 2024 * Decisions | December 16 - 31, 2024 * Offers | January 6 - 10, 2025 <https://urldefense.com/v3/__https://jodrq9gbb.cc.rs6.net/tn.jsp?f=0015KxzjW…> <https://urldefense.com/v3/__https://jodrq9gbb.cc.rs6.net/tn.jsp?f=0015KxzjW…> <https://urldefense.com/v3/__https://jodrq9gbb.cc.rs6.net/tn.jsp?f=0015KxzjW…> <https://urldefense.com/v3/__https://jodrq9gbb.cc.rs6.net/tn.jsp?f=0015KxzjW…> The NSF-Simons National Institute for Theory and Mathematics in Biology (NITMB) aims to integrate the disciplines of mathematics and biology in order to transform the practice of biological research and inspire new mathematical discoveries. NITMB is a partnership between Northwestern University and the University of Chicago. It is funded by the National Science Foundation DMS-2235451 and the Simons Foundation MP-TMPS-00005320. LinkedIn <https://urldefense.com/v3/__https://jodrq9gbb.cc.rs6.net/tn.jsp?f=0015KxzjW…> X <https://urldefense.com/v3/__https://jodrq9gbb.cc.rs6.net/tn.jsp?f=0015KxzjW…> Instagram <https://urldefense.com/v3/__https://jodrq9gbb.cc.rs6.net/tn.jsp?f=0015KxzjW…> Facebook <https://urldefense.com/v3/__https://jodrq9gbb.cc.rs6.net/tn.jsp?f=0015KxzjW…> NITMB | 875 N Michigan Ave.Suite 4010 | Chicago, IL 60611 US Unsubscribe<https://urldefense.com/v3/__https://visitor.constantcontact.com/do?p=un&m=0…>| Update Profile <https://urldefense.com/v3/__https://visitor.constantcontact.com/do?p=oo&m=0…>| Constant Contact Data Notice <https://urldefense.com/v3/__http://www.constantcontact.com/legal/about-cons…>

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Mouse cortical neurophysiology postdoc position in Jaeger lab at Emory University
by Jaeger, Dieter 19 Sep '24

19 Sep '24

The Jaeger lab at Emory University https://scholarblogs.emory.edu/jaegerlab/ is looking to recruit a postdoctoral fellow to work on our NIH funded project in studying the cell-type specific function of motor and premotor cortex in mice. The technical approaches will include mouse behavioral training and behavior analysis, optogenetics, Neuropixels recording, and voltage imaging. A specific objective is to compare normal and Parkinsonian cortical function. The successful candidates will have prior expertise in rodent neurophysiology and a strong background in data analysis. Emory University provides a vibrant and supportive environment for postdoctoral training including grant writing workshops and teaching opportunities, as well as strong training in movement disorders. The Atlanta location allows for affordable living conditions in a cosmopolitan setting with a world class airport. Compensation is dependent on prior experience and is aligned with the NIH NRSA schedule with additional health insurance and other benefits. If interested & qualified, please contact djaeger(a)emory.edu<mailto:djaeger@emory.edu>. Dieter Jaeger Professor, Department of Biology Emory University djaeger(a)emory.edu<mailto:djaeger@emory.edu> https://scholarblogs.emory.edu/jaegerlab/

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Fwd: CFP: FLAIRS38, Neural Network Special Track, Daytona Beach, FL, May 20-23
by David B 18 Sep '24

18 Sep '24

*Neural Networks and Data Mining Special Track* <http://flairs-38.s3-website.us-east-2.amazonaws.com/> *at the * *38th International FLAIRS Conference* <https://www.flairs-38.info/home> Abstract submission deadline: January 20, 2025 Paper submission deadline: January 27, 2025 Paper Acceptance Notification: March 10, 2025 *Daytona Beach, Florida, USA, May 20-23, 2025Call for Papers* The Florida Artificial Intelligence Research Symposium (FLAIRS) is a medium-sized interdisciplinary AI conference which is noted for its double-blind reviewing, free tutorials, and beautiful venues. This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Papers and contributions are encouraged for any work related to neural networks, data mining, or the intersection thereof. Topics of interest may include (but are not limited to): Applications such as Pattern Recognition, Applications, Generative AI methods and applications, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Power Systems, Signal Processing; Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cybersecurity, remote sensing, earth sciences, bioinformatics, and astronomy. Neural networks such as new developments in Back Propagation, RBF, SVM, Deep Learning, Ensemble Methods, Kernel Approaches; Hybrid approaches such as Neural Networks/Genetic Algorithms, Causal Nets trained with Backpropagation, Neural Network/Fuzzy Logic and Acceleration of neural network models via software or hardware. Other modeling algorithms such as hidden Markov models, decision trees, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches; graph modeling, pattern discovery, and anomaly detection; feature extraction and selection; post-processing techniques such as visualization, summarization, or trending; preprocessing and data reduction;and knowledge engineering or warehousing. *Submission Guidelines* Papers must follow the FLAIRS template guidelines ( https://www.flairs-38.info/call-for-papers) and be submitted as a PDF through the EasyChair conference system. (Do NOT use a fake name for your EasyChair login; your EasyChair account information is hidden from reviewers.) FLAIRS will not accept any paper which, at the time of submission, is under review for or has already been published or accepted for publication in a journal or another conference. Authors are also required not to submit their papers else where during FLAIRS's review period. These restrictions apply only to journals and conferences, not to workshops and similar specialized presentations with a limited audience and without archival proceedings. Authors will be required to confirm that their submissions conform to these requirements at the time of submission. *Conference Proceedings* Papers will be refereed and all accepted papers will appear in the conference proceedings. *Track Co-chairs:* David Bisant, Central Security Svcs, bisant(a)umbc.edu Steven Gutstein, Booz Allen Hamilton, s.m.gutstein(a)gmail.com Lenin Mookiah, eBay, lenin.world(a)gmail.com *Program Committee Members:* Martin Atzmueller(University of Kassel, Germany) Juan Banda (Montana State University, USA) Lori Bogren (SomaLogic, USA) Chiranjit Dutta (eBay, USA) Sirisha Velampalli (Brane Enterprise, India) Tomasz Palczewski (SAP, USA) Sergei Dolenko (M.V.Lomonosov Moscow State University, Russian Federation) Sheikh Rabiul Islam (University of Hartford, USA) Lawrence Holder (Washington State University, USA) Diane Cook (Washington State University, USA) Jacek Kukluk (Dana-Farber/Harvard Cancer Center, USA) Katrina Kutchko (Verizon Business Solutions, USA) Roberto Santana (University of Basque Country, Spain) Hujun Yin (University of Manchester, UK) Prabin Lamichhane (Mastercard)

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Faculty positions in Theory, Computation, Data Science at WashU
by Tavoni, Gaia 18 Sep '24

18 Sep '24

Cluster hire in Theory, Computation, and Data Science for Understanding Living Systems, Departments of Biology, Chemistry, and Physics, Washington University in St. Louis Washington University in St. Louis invites applications for tenure-track faculty positions at the rank of assistant or associate professor for a cluster hire in the area of theory, computation, and data science in the departments of Biology, Chemistry, and Physics. Life operates across a diversity of scales, from molecular-scale processes shaping cellular function to the delicate dynamic balance of our biosphere as a whole. System-level properties and processes are affected by interactions operating at all scales and between scales. Understanding these interconnected systems requires an interconnected and multidisciplinary research community. From AI-driven advances in protein structure and dynamics, to advanced imaging methods enabled by quantum sensing, to developing entirely new mathematical and computational frameworks to achieve insight from complex data, transformative advances in life sciences will require the synergistic work of scientists working across disciplinary boundaries. This cluster aims to create a hub of researchers using theoretical, computational, artificial intelligence, statistics, and data-science methods to advance life sciences from molecular to ecological scales. Applicants whose research synergizes with current areas of strength at Washington University will be favorably considered. Applicants whose research includes an experimental component but is primarily focused on developing theoretical, computational, and data-science methods will also be favorably considered. Candidates should have a Ph.D. in Biology, Chemistry, Physics, or a closely related field. Candidates for the rank of Associate Professor should have an outstanding academic record of research, publication, teaching, and service commensurate with tenure at this rank. Joint applications exhibiting a high degree of research synergy will be considered. Duties will include conducting research, teaching, advising students, and participating in departmental governance and university service. Diversity, equity, and inclusion are core values at Washington University, and we seek to create inclusive classrooms and environments in which a diverse array of students can learn and thrive. Applications should consist of a cover letter describing how the candidate’s research fits within the theme of the cluster; a detailed curriculum vitae; statements of research directions (3-5 pages), teaching interests (1 page), and contributions towards promoting an inclusive research culture or community at large (1 page); and contact information for at least three references. Applications should be submitted to https://apply.interfolio.com/152466 by Oct. 18, 2024 to receive full consideration. Washington University in St. Louis has a policy to recruit, hire, train, and promote persons in all job titles without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, national origin, protected veteran status, disability, or genetic information. *************************************************** Gaia Tavoni, PhD Assistant Professor of Neuroscience Washington University in St Louis ________________________________ The materials in this message are private and may contain Protected Healthcare Information or other information of a sensitive nature. If you are not the intended recipient, be advised that any unauthorized use, disclosure, copying or the taking of any action in reliance on the contents of this information is strictly prohibited. If you have received this email in error, please immediately notify the sender via telephone or return mail.

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COSYNE 2025: Call for Workshop Proposals; Abstract submission is open
by Tomas Hromadka 17 Sep '24

17 Sep '24

==================================================== Computational and Systems Neuroscience 2025 (Cosyne) MAIN MEETING 27 March - 30 March 2025 Montreal, Canada WORKSHOPS 31 March - 01 April 2025 Mont-Tremblant, Canada www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission is now open. Workshop proposal submission is now open. Workshop proposal submission deadline: 04 October 2024 Abstract submission deadline: 23 October 2024 ---------------------------------------------------- COSYNE MEETING & WORKSHOPS ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ----------------------------------------------------- CALL FOR WORKSHOP PROPOSALS ----------------------------------------------------- A series of workshops will be held after the main Cosyne meeting. The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. Workshop proposals deadline: 04 October 2024 To submit your Cosyne 2025 Workshop Proposal, please visit Cosyne.org -> Workshops -> Call for Proposals The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. - There will be 6-10 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning and late afternoon sessions. - Workshops will be held in Mont-Tremblant, QC, Canada. - Workshop speakers do NOT receive free registration, travel expenses, or accommodation for either the main meeting or the workshop sessions. Organizers should let invited speakers know that they are expected to pay for workshop registration fees. Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers, submitting a final schedule for the workshop program, and moderating the discussion. Organizers can, but need not, be speakers. One complimentary (free) organizer registration is provided per workshop. For workshops with two organizers, the free registration can be given to one of the organizers or split evenly between them. Any required multimedia resources beyond a projector, screen, and microphones will be the responsibility of the workshop organizers to coordinate with Cosyne and the workshop venue A/V staff. EVALUATION CRITERIA As stated above, the goal of Cosyne workshops is to provide an interactive, informal forum for discussions. Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. Workshop proposals will be evaluated by the Cosyne Workshop Chairs, and a subset of the proposals will be selected. The proposals will be evaluated according to the following six metrics (which will be weighted equally): - Relevance to the Cosyne community - Integration of experimental and theoretical issues - Current interest in the topic in the scientific community - Potential for new research directions and interactions to emerge - Distinctive scope/approach compared to other workshops (including previous years’) - Diversity and equity in the proposed speaker (we are looking for representation of women or nonbinary individuals, individuals from other underrepresented groups, and a balance of established and early career researchers) In order to foster discussion within Workshops and reduce overlap between workshops, organizers should inform invited speakers that a speaker can take part in no more than two Workshops. The proposals will include: - Name(s) and email address(es) of the organizers (2 organizers per session is strongly recommended, but 3 will be allowed). - A title. - A brief description of 1) what the workshop will address and accomplish, 2) why the topic is of interest, 3) who is the targeted group of participants. - Names and email addresses of speakers, who should already have agreed to participate should the proposal be accepted. - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs two days, please explain why. - A brief resume of the workshop organizer(s) along with a short list of workshop-relevant publications (about half a page total). - A description of how you have addressed diversity and equity in your workshop. Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and to have plenty of breaks. We recommend keeping the number of talks small (i.e., fewer than 10 talks per day). WORKSHOP COSTS Detailed registration costs, etc, will be at www.cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. Organizers should let invited speakers know that they are expected to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complimentary (free) organizer registration is provided per workshop. For workshops with two organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE 2025 WORKSHOP CHAIRS Workshop Chairs: SueYeon Chung (NYU) and Guillaume Lajoie (MILA/U Montreal) COSYNE WORKSHOPS CONTACT workshops [at] cosyne.org ----------------------------------------------------- COSYNE 2025 COMMITTEES ----------------------------------------------------- ORGANIZING COMMITTEE General Chairs: Bing Brunton (U Washington) and Chandramouli Chandrasekaran (Boston U) Program Chairs: Tatiana Engel (CSHL) and Kevin Franks (Duke) Workshop Chairs: SueYeon Chung (NYU) and Guillaume Lajoie (MILA/U Montreal) Tutorial Chair: Talmo Pereira (Salk) DEIA Committee: Denise Cai (Mount Sinai) and Luke Sjulson (Albert Einstein) Undergraduate Travel Chairs: Kimberly Stachenfeld (DeepMind) and Marcelo Mattar (NYU) Fundraising Chair: Michael Long (NYU) Social Media Chair: Sabera Talukder (Caltech) Audio-Video Media Chair: Carlos Stein Brito (Chamaplimaud) Poster Design: Maja Bialon PROGRAM COMMITTEE Tatiana Engel (CSHL) Co-chair Kevin Franks (Duke) Co-chair Mikio Aoi (UCSD) Arkarup Banerjee (CSHL) Marcus Benna (UCSD) Adrian Bondy (Princeton) Timothy Buschman (Princeton) Celine Cammarata (Duke) Alex Cayco Gajic (Ecole Normale Superieure) Hannah Choi (Gatech) Benjamin Cowley (CSHL) Carina Curto (Brown) Brian DePasquale (Boston U) Sridhar Devarajan (Indian Inst Sci) Laura Driscoll (Stanford) Ann Duan (UCL) Lea Duncker (Stanford) Annegret Falkner (Princeton) Arseny Finkelstein (Tel Aviv U) Rainer Friedrich (Friedrich Miescher Institute) Juan Gallego (Imperial) Matthew Golub (U Washington) Bilal Haider (Georgia Tech) Kiah Hardcastle (Harvard) Ann Hermundstad (Janelia) Michele Insanally (U Pitt) Monika Jadi (Yale) Jonathan Kao (UCLA) Kohitij Kar (York U) Ann Kennedy (Northwestern) Guillaume Lajoie (MILA) Anna Levina (U Tubingen) Laura Lewis (MIT) Camilo Libedinsky (National U Singapore) Ashok Litwin-Kumar (Columbia) Laureline Logiaco (MIT) Emily Mace (Max Planck) Francesca Mastrogiuseppe (Champalimaud) Luca Mazzucato (U Oregon) Jorge Mejias (U Amsterdam) Jonathan Michaels (York U) Eilif Muller (U Montreal) James Murray (U Oregon) Hendrikje Nienborg (NIH) Gouki Okazawa (Chinese Acad Sci) Marino Pagan (UCL) Chethan Pandarinath (Emory) Angelique Paulk (Harvard) Hannah Payne (Columbia) Talmo Pereira (Salk) Erin Rich (Mount Sinai) Ben Scott (Boston U) Nicholas Steinmetz (U Washington) Carsen Stringer (HHMI) Marie Suver (Vanderbilt) Tatjana Tchumatchenko (U Bonn) John Tuthill (U Washington) Ali Weber (Bryn Mawr) Brady Weissbourd (MIT) Alex Williams (NYU) Klaus Wimmer (CRM) Brad Wyble (Penn State) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Anne-Marie Oswald (U Pittsburgh) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ----------------------------------------------------- COSYNE MAILING LISTS ----------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> About-> Mailing lists for details.

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workshop organized by the Neuroscience Gateway project on October 5th starting at 8:30am at the campus of University of Chicago
by Majumdar, Amitava 17 Sep '24

17 Sep '24

We are organizing a workshop in Chicago on October 5th , 2024 starting at 8:30 am (Central time) and till 11:30am (Central time) at the campus of University of Chicago. The agenda is provided below. If you are interested in attending, please email Amit Majumdar (amajumdar(a)ucsd.edu) to receive the link to register. Registration is free but due to limited seatings, we are requesting registration and it will also provide the address of the location of the workshop. AGENDA (October 5th, 2024, University of Chicago) 8:30 AM - 8:45 AM Welcome 8:45 AM - 9:15 AM Title: Human Neocortical Neurosolver: A Software Tool for Cell and Circuit Level Interpretation of MEG/EEG signals Authors: Nicholas Tolley, Stephanie Jones Affiliation: Brown University Abstract: MEG/EEG signals are correlated with nearly all healthy and pathological brain functions. However, it is still extremely difficult to infer the underlying cellular and circuit level origins. This limits the translation of MEG/EEG signals into novel principles of information processing, or into new treatment modalities for pathologies. To address this limitation, we built the Human Neocortical Neurosolver (HNN): an open-source software tool to help researchers and clinicians without formal computational modeling or coding experience interpret the neural origin of their human MEG/EEG data. The foundation of HNN is a biophysically-detailed neocortical model, representing a patch of neocortex receiving thalamic and corticocortical drive. The HNN model can be accessed through a user-friendly interactive graphical user interface (GUI) or through a Python scripting interface. Tutorials are provided to teach users how to begin to study the cell and circuit level origin of sensory event related potentials (ERPs) and low frequency rhythms. The package is available to install with a single command on PyPI (pip install hnn_core), is unit tested and extensively documented. HNN is additionally accessible through computing resources offered by the Neuroscience Gateway (NSG) enabling large simulation workloads. We will give an overview of the background of HNN, describe the newest features added to the software, and highlight recent research projects using HNN. 9:15 AM - 9:45 AM Title: The NEMAR Neuromagnetic Data, Tools, and Compute Resource Authors: Scott Makeig1, Kenneth Yoshimoto2, Choonhan Youn2, Dung Troung1, Subhashini Sivagnanam2, Amitava Majumdar2, Arnaud Delorme1 Affiliation: 1Swartz Center for Computational Neuroscience, 2San Diego Supercomputer Center, University of California San Diego Abstract: The recent BRAIN Initiative, funded by the Obama administration, propelled the creation of archives of publicly and other funded scientific data of all types. For human functional neuroimaging, the OpenNeuro.org archive was funded to collect and publicly share data of all types. Its creator, Russ Poldrack, is an fMRI expert. For other imaging modalities, NIMH funded projects to curate data contributed to OpenNeuro. Our NEMAR.org serves that purpose for 'neuroelectromagnetic' data (EEG, MEG, iEEG). Beyond simple data curation, publication of data quality measures and data visualization, NEMAR exemplifies what I believe should become the basic unit of open science, what I call the 'integrated data, tools, and compute resource' (datcor). By teaming with the Neuroscience Gateway team, NEMAR now supports users worldwide in identifying and performing sophisticated computations on increasing amounts of publicly available data - without need for at-best balky data downloads. 9:45 AM - 10:15AM Title: DANDI: Building a collaborative ecosystem for neuroscientific data Authors: Satrajit Ghosh Affiliation: McGovern Institute, MIT Abstract: The DANDI Archive is a community-oriented platform designed to support the sharing, analysis, and re-use of neurophysiology and microscopy data, using the BRAIN Initiative supported standards for data sharing. By providing an open, FAIR-compliant (Findable, Accessible, Interoperable, Reusable) ecosystem, DANDI facilitates collaborative research in neuroscience. It integrates diverse data types, from electrophysiology to imaging, ensuring that researchers can contribute, discover, access, visualize, and compute on standardized datasets seamlessly. This presentation will highlight the key features of DANDI, including its data management infrastructure, open-source tools, and how it promotes transparency, reproducibility, and interdisciplinary collaboration in neuroscience research. 10:15 AM - 10:30 AM BREAK 10:30 AM - 11:00 AM Title: Enhancing Perspectives in Neuroscience Research through Diverse Institutional Partnerships. Author: Elba Serrano Affiliation: New Mexico State University Abstract: Diversity in collaboration is expected to yield more inclusive and representative research outcomes and potentially address more varied needs within a field. By pooling knowledge and resources from different disciplines, institutions, and investigators, researchers can approach problems in neuroscience from multiple angles, leading to more comprehensive and innovative solutions. The nation's 700+ federally designated minority serving institutions (MSIs) comprise about 15% of all degree-granting institutions and educate over 5 million students. This presentation will introduce attendees to the rich constellation of MSIs with a spotlight on Hispanic serving institutions (HSIs), where 65% of the nation's Latino students seek degrees. Drawing on experiences as lead for the NSF HSI National STEM Resource Hub, the speaker will provide an overview of the benefits and challenges in developing collaborations with colleagues at MSIs, as well as strategies for identifying partners and developing authentic relationships that further neuroscience research. 11:00 AM - 11:30 AM Title: Bio-realistic modeling of the mouse primary visual cortex using large-scale datasets Authors: Shinya Ito1, Darrell Haufler1, Kael Dai1, Joe Aman1, Javier Galván Frail2, Guozhang Chen3, Claudio Mirasso2, Wolfgang Maass4, Anton Arkhipov1 Affiliation: 1. Allen Institute, Seattle, Washington, USA 2. IFISC, University deles Illes Balears, Palma de Mallorca, Spain 3. Peking University, Beijing, China 4. Graz University of Technology, Graz, Austria Abstract: Accurate models of cortical circuits facilitate a deeper understanding of how neural dynamics are shaped and maintained within the brain. We have developed an enhanced, biologically realistic model of the mouse primary visual cortex (V1), building on the framework established by Billeh et al. (Neuron, 2020). This updated model integrates new synaptic physiology data from Campagnola, Seeman et al. (Science, 2022; portal.brain-map.org/connectivity/synaptic-physiology) and detailed connectomics from the IARPA MICrONS dataset (www.microns-explorer.org) refining its connectivity and synaptic dynamics. The resulting model exhibits stable activity patterns before optimization. Moreover, we utilized TensorFlow-based optimization techniques to align model parameters with physiological data, including Neuropixels recordings, achieving key empirical targets such as firing rates and orientation selectivity. This improved model not only enhances our understanding of cortical processing but will also be made publicly available to support further research. ---------------------------------------------------------------------------------------------------- Organizers: Amit Majumdar, Subhashini Sivagnanam, Kenneth Yoshimoto San Diego Supercomputer Center, University of California San Diego Ted Carnevale, Neuroscience Department, Yale School of Medicine, Yale University Co-organizers: Kimberly Grasch and H. Birali Runesha, University of Chicago -----------------------------------------------------------------------------------------------------

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Workshop "Data-Driven Discovery: AI and Modeling in Biology" at the Allen Institute
by Anton Arkhipov 17 Sep '24

17 Sep '24

Dear Colleagues, We will be livestreaming the upcoming workshop "Data-Driven Discovery: AI and Modeling in Biology" organized by Anton Arkhipov (Allen Institute), Tatiana Engel (Princeton), Michael Brenner (Harvard/Google), and Stephen Saalfeld (Janelia). Hosted by the Allen Institute on September 23-25, 2024, the meeting brings together experts who will discuss how problems in biology are being solved using recent developments in both AI and modeling. Please see the streaming link at the meeting website: https://alleninstitute.org/events/data-driven-discovery-ai-and-modeling-in-… The goal of this meeting is to explore how problems in biology are being solved using cutting-edge computational approaches, with the focus on recent developments in both AI and modeling, including merging the two. Biology is a broad field. We aim to connect researchers across a wide range of computational biology to learn from each others’ approaches. Agenda is below (all times listed as Pacific Standard Time). ================================================== Monday, September 23, 2024 2:00–2:15pm Welcome and opening remarks 2:15–3:15pm KEYNOTE- David Baker, University of Washington Protein design for molecular recognition 3:15–3:45pm Bing Brunton, University of Washington Embodied intelligence through integrated neuromechanical models of natural behavior 3:45–4:15pm Andreas Tolias, Stanford University NeuroAI: Building Digital Twins of the Brain Tuesday, September 24, 2024 9:00–9:30am Matheus Viana, Allen Institute for Cell Science Towards a holistic and quantitative stem cell state landscape 9:30–10:00am Kim Stachenfeld, Columbia University/Google DeepMind Learning to Simulate and Control Fluid Dynamics with Graph Neural Networks 10:00–10:30am Armita Nourmohammad, University of Washington Learning the shape of the protein and immune universe 10:30-11:00am Break 11:00–11:30am Mariano Gabitto, Allen Institute for Brain Science Deep generative models for the multimodal analysis of single-cell datasets 11:30–12:00pm Roy Kishony, Technion-Israel Institute of Technology AI driven science 12:00–12:30pm Stefan Mihalas, Allen Institute Why is the activity in the brain so variable? 12:30-2:00pm Break 2:00–2:30pm Michael Elowitz, California Institute of Technology Many-to-many protein networks as flexible computational modules Wednesday, September 25, 2024 9:00–10:00am KEYNOTE- Emily Fox, Stanford University, insitro Machine Learning for Better Medicines 10:00–10:30am Xiaojun Li, Allen Institute for Immunology Application of AI in Immunology Research 10:30-11:00am Break 11:00–11:30am Gokul Upadhyayula, University of California Berkeley Navigating challenges and opportunities with high-resolution in vivo imaging 11:30–12:00pm Laura Driscoll, Allen Institute for Neural Dynamics Fast and slow learning in artificial and biological networks 12:00–12:30pm Eric Shea-Brown, University of Washington Assigning credit through the "other” connectome 12:30-2:00pm Break 2:00–2:30pm Viren Jain, Google Simulating a zebrafish brain with functional connectomics and AI 2:30–3:00pm Kristin Branson - Janelia Research Campus, Howard Hughes Medical Institute What can we learn from deep-learning-based forecasting models of biological time series? 3:00–3:30pm Ben Cowley, Cold Spring Harbor Laboratory Mapping model units to visual neurons reveals population code for social behavior ================================================== Best regards, Anton Arkhipov Investigator, Allen Institute

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Free hybrid workshop: Linking brain structure & function at the nanoscale
by Audrey Denizot 16 Sep '24

16 Sep '24

Dear all, The [ https://team.inria.fr/aistrosight/ | AIstroSight team ] from Inria Lyon, France, is organizing a hybrid workshop on September 26th-27th 2024 entitled "Linking brain structure & function at the nanoscale: an interdisciplinary workshop". This interdisciplinary workshop aims to bring together experts from diverse fields who contribute to improving our understanding of the nanoscale landscape of the nervous system and its impact on brain function, from volume electron microscopy to image analysis, machine learning, deep learning, and computational modeling. Registration is open until September 24th, free but mandatory following [ https://club-de-cellules-gliales.assoconnect.com/collect/description/450527… | this link ] . More information can be found on the workshop website: [ https://adenizot.github.io/workshops/ | https://adenizot.github.io/workshops/ ] Invited speakers: - Carles Bosch, The Francis Crick Institute, England - Corrado Cali, Neuroscience Institute Cavalieri Ottolenghi, Italy - Michael Chirillo, University of Texas, USA - Audrey Denizot, Inria, France - Erik De Schutter, Okinawa Institute of Science and Technology, Japan - Christel Genoud, Université de Lausanne, Switzerland - Daniel Keller, Ecole Polytechnique Fédérale de Lausanne, Switzerland - Constantin Pape, University of Göttingen, Germany - Karin Pernet-Gallay, Université Grenoble Alpes, France - Padmini Rangamani, University of California San Diego, USA - Chris Salmon, McGill University, Canada Best wishes, Audrey Denizot -- Audrey Denizot ------------------------------ PhD, Inria research scientist — — Project-Team AIstroSight — — [ https://team.inria.fr/aistrosight | https://team.inria.fr/aistrosight ] — — — Centre INRIA de Lyon — — — Campus La Doua Bâtiment CEI-2 56, Boulevard Niels Bohr - CS 52132 69603 Villeurbanne - France [ mailto:audrey.denizot@inria.fr | audrey.denizot(a)inria.fr ] | [ https://adenizot.github.io/ | Website ] | [ https://www.linkedin.com/in/audrey-denizot-180684201/ | LinkedIn ] | [ https://twitter.com/ADenizot | Twitter ]

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PhD and postdoc positions in the Zenke Lab at the FMI, Basel, Switzerland.
by Friedemann Zenke 16 Sep '24

16 Sep '24

We are looking for new team members! Please consider applying if you want to build models of how the brain learns and simulates a world model. We have several openings at PhD and postdoc levels, including a collaboration with the Keller Lab at the FMI on designing regulatory elements to target distinct neuronal cell types. For more information and example projects, see http://zenkelab.org/jobs Kind regards, Friedemann

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Human Neocortical Neurosolver (HNN) Workshop at SFN
by Gao, Joyce 13 Sep '24

13 Sep '24

Dear all, We invite you to join us at SFN 2024 for a hands-on Human Neocortical Neurosolver (HNN) Workshop! HNN is a user-friendly software tool for interpreting the cell and circuit level origin of human MEG and EEG signals (Neymotin et al 2020, https://hnn.brown.edu) You can find out more about HNN and register here: https://hnn.brown.edu/workshop-registration/. Seats are limited, so if you are interested, we recommend signing up today! Our best, Jones Computational Neuroscience Lab Brown University, Carney Institute for Brain Science

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Research Assistant Position in Developmental Cognitive Neuroscience at American University, Washington DC
by Laurie Bayet 13 Sep '24

13 Sep '24

*Research Assistant Position in Developmental Cognitive Neuroscience at American University, Washington DC* The Developmental Cognitive Neuroscience Laboratory at American University, located in Washington DC and directed by Dr. Laurie Bayet ( https://www.bayetlab.com/) is currently accepting applications for a full-time, benefits-eligible Research Assistant position to assist on NSF and foundation-funded funded projects investigating infant visual cognition and social communication (e.g., NSF award # 2122961 <https://www.nsf.gov/awardsearch/showAward?AWD_ID=2122961>). The lab uses electro-encephalography (EEG), functional near-infrared spectroscopy (fNIRS), behavioral measures, and machine learning. The position is ideal for an individual seeking to deepen their research experience in preparation for graduate study. *Applicants should apply electronically at https://american.wd1.myworkdayjobs.com/AU/job/Main-Campus-Washington-DC/Res… <https://american.wd1.myworkdayjobs.com/AU/job/Main-Campus-Washington-DC/Res…> and submit a CV and cover letter listing the names and contact information of 2-3 references.* Review of applications will begin immediately and continue until the position is filled. Prospective applicants may email Dr. Bayet ( bayet(a)american.edu) with any questions. Apologies for cross-posting! *Essential Functions* - *Data Management:* Assisting with data collection in adherence with study protocols, such as: informed consent, EEG, fNIRS, and/or eye-tracking measurements, transferring research data files to the lab server. - *Participant Recruitment and Support:* Outreach, recruitment, and communication with families who participate in the research, such as: designing and implementing outreach/recruitment materials, assessing study eligibility, scheduling study visits, maintaining contact with participating families. - *Data Entry and Processing:* Conduct data entry, data pre-processing, video coding, and data management, in adherence with study protocols. - *Personnel:* Onboarding and supervision of undergraduate research assistants. - *Study General Support:* Assisting with designing and implementing experimental procedures, such as: creating and validating stimuli, surveys, and/or paradigms; monitoring materials and supplies. - *Compliance:* Develop and monitor IRB protocols for approval, modification, or renewal. - *Other duties as assigned by supervisor.* Opportunity to contribute to conference presentations and/or manuscript writing, if desired. Position Type/Expected Hours of Work: The initial position is for 1-year and is renewable contingent upon continued funding, a 6-month probationary period, and successful completion of duties. *Required Education and Experience:* - High school diploma or equivalent required. - 1-3 years' relevant experience, such as undergraduate research experience, is required. - Demonstrated interest in developmental psychology, cognitive science, and/or cognitive neuroscience required, such as from undergraduate coursework or research experience. - Excellent organizational and project management skills are required, including initiative, self-motivation, rigor, attention to details, ability to work independently on multiple tasks, ability to learn new skills in a fast-paced environment, and ability to meet deadlines. - Excellent communication and interpersonal skills are required, including comfort interacting professionally with families, infants, and undergraduate students, and ability to work effectively with people from diverse backgrounds. - Prior experience in developmental research (e.g., with infants/children) and/or human neuroimaging research (e.g., EEG, MEG, fNIRS) which may include undergraduate research experience (strongly preferred, but not strictly required if has some other relevant research experience). - Flexibility to adapt to changing hours, such as the ability to run study visits with families during weekends, or occasionally during the evening, is required. *Preferred Education and Experience:* - Bachelor's degree in Psychology or Neuroscience or closely related field preferred. - Computational skills and programming experience in Matlab, R, and/or Python preferred, but not strictly required. - Relevant experience with neuroscience/psychology research tools (e.g., NetStation, Psychtoolbox, Datavyu, Children Helping Science, EEGLAB, Homer, BIDS), data analysis, data processing, manuscript preparation, and/or social media or community outreach a plus. - The ability to start in or before January 2025 and the intention to make a 2-years commitment is strongly preferred. *Additional information:* The Developmental Cognitive Neuroscience Laboratory is part of the Neuroscience Department <https://www.american.edu/cas/neuroscience/> and the Center for Neuroscience and Behavior <https://www.american.edu/cas/center-neuroscience/> at American University. American University provides a stimulating intellectual environment, just 2 miles from downtown Washington DC. DC offers a vibrant research community, and American University enjoys proximity to other notable research institutions such as the National Institutes of Health. With extensive public transit, an exciting cultural and restaurant scene, many museums and public parks, and proximity to other green spaces in the surrounding region (e.g., Appalachian trail, Shenandoah National Park), Washington DC consistently ranks amongst the top US metropolitan areas for quality of life. *Benefits* AU offers a competitive benefits package including a 200% matching retirement plan, tuition benefits for full-time staff and their families, several leadership development certificates, and has been recognized by the American Heart Association as a fit-friendly worksite. Click here to learn about American University's unique benefit options <https://secure-web.cisco.com/1xOwxDSlkRlXlYPPZYWq0QpcjQRmrUewLamlS2mE8G0X9U…> . *Other Details* - Hiring offers for this position are contingent on successful completion of a background check. - Employees in staff positions at American University must deliver their services to the university from either the District of Columbia, Maryland, or Virginia, or perform work on-site at the university. - Please note this job announcement is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. - American University is an E-Verify <https://secure-web.cisco.com/1XvV9ls4UAniSQMlhDR3Q7UDPXIx7GKNSsIF67po-xqKDS…> employer *Contact Us* For more information or assistance with the American University careers site, email theworkline(a)american.edu. *American University is an equal opportunity, affirmative action institution that operates in compliance with applicable laws and regulations. The university does not discriminate on the basis of race, color, national origin, religion, sex (including pregnancy), age, sexual orientation, disability, marital status, personal appearance, gender identity and expression, family responsibilities, political affiliation, source of income, veteran status, an individual’s genetic information or any other bases under federal or local laws (collectively "Protected Bases") in its programs and activities.*

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UK PhD studentship opportunity
by Goodfellow, Marc 12 Sep '24

12 Sep '24

The University of Exeter, UK, is offering an EPSRC-funded PhD studentship in Neuroscience and Artificial Intelligence. This project is open to students with a background in Mathematics, Physics, Computer Sciences, or Natural Sciences, and an interest in Neuroscience. The successful candidate will use recent Neuroscience findings to make Deep Networks learn more sustainably, generalise better, be more resistant to injuries, and be more explainable. For information on the studentship and how to apply, please visit https://www.exeter.ac.uk/study/funding/award/?id=5228. The application deadline is midday on Friday 4th October 2024. For more information on this project see https://www.exeter.ac.uk/v8media/recruitmentsites/documents/Improving_Artif… ence_through_Neuroscience_(Dr_Joel_Tabak).pdf<https://www.exeter.ac.uk/v8media/recruitmentsites/documents/Improving_Artif…>

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Postdoc / PhD student for 3 years -- How to be flexible – organizing and optimizing task-dependent information processing in the visual system
by David Rotermund 11 Sep '24

11 Sep '24

The Computational Neurophysics lab at the University of Bremenheaded by Dr. Udo Ernst offers at the earliest date possible: *Postdoc / PhD student in Computational Neuroscience **for 3 years* In this project we want to study organization and optimization of flexible information processing in neural networks, with specific focus on the visual system. You will use network modelling,numerical simulation, and mathematical analysis to investigate fundamental aspects of flexible computation such as task-dependent coordination of multiple brain areas for efficient information processing, as well as the emergence of flexible circuits originating from learning schemes which simultaneously optimize for function and flexibility. These studies will be complemented by biophysically realistic modelling and data analysis in collaboration with experimental work. Here we will investigate selective attention as a central aspect of flexibility in the visual system, involving task-dependent coordination of multiple visual areas. ============ = Official text = ============ The Computational Neurophysics lab at the University of Bremenheaded by Dr. Udo Ernst offers at the earliest date possible: *Research Assistant / Postdoc in Computational Neuroscience (f/m/d)* German federal pay scale EG13 TV-L (100 %) *limited for 3 years*(according to § 2 WissZeitVG) *How to be flexible – organizing and optimizing task-dependent information processing in the visual system* In this project we want to study organization and optimization of flexible information processing in neural networks, with specific focus on the visual system. You will use * network modelling, * numerical simulation, * and mathematical analysis to investigate fundamental aspects of flexible computation such as task-dependent coordination of multiple brain areas for efficient information processing, as well as the emergence of flexible circuits originating from learning schemes which simultaneously optimize for function and flexibility. These studies will be complemented by biophysically realistic modelling and data analysis in collaboration with experimental work done in the lab of Prof. Dr. Andreas Kreiter, also at the University of Bremen. Here we will investigate selective attention as a central aspect of flexibility in the visual system, involving task-dependent coordination of multiple visual areas. * * *Requirements**:* Ideal candidates will have a completed academic university degree (Master’s/University Diploma) in computational neuroscience, physics, computer science or related fields. A doctorate in this field would be a positive addition to the application. There is the possibility of further qualification. Applicants must have a strong background in neural networks, dynamical systems, mathematics and/or data analysis, and experience in programming (we use Python in our lab). Above all, you must be highly motivated, responsible, have a strong desire to learn and be able to work proactively in an international research environment. Fluency in English (both written and spoken) is required. The Computational Neurophysics Lab offers a good working atmosphere, direct involvement in international research and attractive facilities. You will have the opportunity to link your research to a wide range of other topics being studied in our lab, such as collective dynamics in neural systems, information processing in deep spiking networks, and the development of visual cortex prostheses. *General hints:* Open to unconventional approaches in research and teaching, the University of Bremen has retained its character as a place of short distances for people and ideas since its founding in 1971. With a broad range of subjects, we combine exceptional performance and innovative potential. As an ambitious research university, we stand for research-based learning approaches and a pronounced interdisciplinary orientation. We actively pursue international scientific cooperation in a spirit of global partnership. Today, around 23,000 people learn, teach, research and work on our international campus. In research and teaching, administration and operations, we are firmly committed to the goals of sustainability, climate justice and climate neutrality. Our Bremen spirit is expressed in the courage to dare new things, in supportive cooperation, in respect and appreciation for each other. With our study and research profile and as part of the European YUFE network, we assume social responsibility in the region, in Europe and in the world. The University of Bremen is family-friendly, diverse and sees itself as an international university. We therefore welcome all applicants regardless of gender, nationality, ethnic and social origin, religion/belief, disability, age, sexual orientation and identity. As the University of Bremen intends to increase the proportion of female employees in science, women are particularly encouraged to apply. Disabled applicants will be given priority if their professional and personal qualifications are essentially the same. For questions of the research project please contact: Dr. Udo Ernst, E-Mail: _udo(a)neuro.uni-bremen.de_ For general information on this topic, see also: _https://www.uni-bremen.de/ernstlab <https://www.uni-bremen.de/ernstlab>_ _Detailed instructions for applicants_ Your application must comprise: *Motivation letter* Your 1–2-page essay should address the following questions: * What is your background? What areas have you worked in previously, and how do you think this will help you in this role? * What attracts you to computational neuroscience? * What computational neuroscience problem(s) are you most interested in? * What is your motivation for joining our project? * What are your plans for your future career? * When will you definitely be able to begin? *Curriculum Vitae* Send a tabular CV with your contact details, and all stages of education and employment. * * *List of skills, awards, publications* List your skills, especially language skills (including level of proficiency), that you think might be useful for the job. Also list any awards you have received and any peer-reviewed publications, if you have any. * * *Contact details of two academic references* One of the referees should be your PhD and/or MSc supervisor. Please inform your referees before listing their names so that they are not surprised when we contact them. You can apply in English or German, whichever language you are more comfortable with. Please explicitly address each of the specified requirements in your application (see detailed instructions below), and send your application documents until *07.10.2024*by indicating the *job id A007-24 to* Universität Bremen Institut für Theoretische Physik Frau Agnes Janssen Hochschulring 18 D-28359 Bremen or as one PDF file by unencrypted electronic mail to: _ajanssen(a)neuro.uni-bremen.de <mailto:ajanssen@neuro.uni-bremen.de>_. We kindly ask you to send us only copies (no portfolios) of your application documents, as we cannot return them. They will be destroyed after the selection process has been completed. Please note that incomplete applications will not be considered.

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