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Postdoc positions at U Oregon

by James Murray

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

Oct. 11, 2024

1st CFP ESANN 25: Special Session on ML and applied AI in COGNITIVE SCIENCES and PSYCHOLOGY

by Alfredo Vellido

> > > > > * 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) > > >

Oct. 11, 2024

Postdoc Position in Computational Neuroscience and Neuroimaging at UNC-Chapel Hill

by Li, Guoshi

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/

Oct. 10, 2024

Postdoc positions in cognitive neuroscience and computational psychiatry, University of Tuebingen, Germany

by Susan Fischer

**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 ************************************************

Oct. 10, 2024

Open-rank Tenure-track Faculty Position in Assistive Technology for Disabilities

by Yu Zhang

*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

Oct. 9, 2024

PhD/PostDoc in Mainz, Germany

by Janina Hesse

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

Oct. 9, 2024

M2 and/or PhD in Neuro-AI at CERCO, Toulouse, France

by MASQUELIER Timothee

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

Oct. 9, 2024

Funded Ph.D. Positions at the International Max Planck Research School for Intelligent Systems (including comp neuro, medical AI)

by Philipp Berens

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

Oct. 8, 2024

Join Us for the Statistical Physics of Cognition Workshop – Institute of Physics, London

by Rajpal, Hardik

Dear Colleagues, We are excited to announce that the Statistical Physics of Cognition workshop will take place on the 25th and 26th of November 2024 at the Institute of Physics, King's Cross, London. This workshop will explore the intersection of physics and neuroscience to better understand cognition, bringing together leading researchers from various disciplines, including statistical mechanics, network science, self-organized criticality, information theory, and more. The programme for the workshop is now live and can be viewed here: https://iop.eventsair.com/spc2024/programme. While registrations open next week, we invite those interested in attending to fill out an expression of interest form in advance: https://iop.eventsair.com/spc2024/registration We especially encourage PhD students and Early Career Researchers to participate by submitting abstracts for poster presentations. This is a great opportunity to present your research, receive feedback from leading experts, and engage in exciting discussions. * Abstract submission deadline: 31st October 2024 * Submit your abstract here: https://iop.eventsair.com/spc2024/abstract-submission We look forward to welcoming you to what promises to be a thought-provoking event at the frontier of cognitive science and physics. Please feel free to share this announcement with your colleagues, students, and networks. If you have any questions, don’t hesitate to reach out. Best regards, Hardik Rajpal Research Associate Organizing Committee, Statistical Physics of Cognition Workshop Imperial College London

Oct. 7, 2024

PhD/PostDoc position in Computational Psychiatry, University of Marburg

by Hamidreza Jamalabadi

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/

Oct. 7, 2024