- Comp-neuro - lists.cnsorg.org

Early Registration Deadline Approaching - Bernstein Conference 2024
by Alexander Lammers 24 Jul '24

24 Jul '24

The early registration deadline for the Bernstein Conference 2024 is approaching! Register by July 31 and secure the early bird fees! Registration: https://bernstein-network.de/bernstein-conference/registration/ ____ BERNSTEIN CONFERENCE Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries. Conference website: https://bernstein-network.de/bernstein-conference/ ____ IMPORTANT DATES * Early registration deadline: Jul 31, 2024 (23:59 CEST) * Late registration deadline: Sep 11, 2024 (23:59 CEST) * Bernstein Conference: Sep 29 – Oct 2, 2024 ____ INVITED SPEAKERS Dmitriy Aronov (Columbia University, USA) Helen Barron (University of Oxford, UK) Elizabeth Buffalo (University of Washington, USA) Alex Cayco Gajic (Ecole Normale Supérieure, France) Jan Drugowitsch (Harvard University, USA) Jakob Macke (University of Tübingen, Germany) Tirin Moore (Stanford University, USA) Mala Murthy (Princeton University, USA) Memming Park (Champalimaud Foundation, Portugal) Susanne Schreiber (Humboldt Universität zu Berlin, Germany) Xiao-Jing Wang (New York University, USA) ____ CONFERENCE COMMITTEE Matthias Kaschube (Conference Chair) Srdjan Ostojic (Program Chair) Tatiana Engel (Program Vice Chair) Maria Eckstein (Workshop Chair) Wiktor Młynarski (Workshop Vice Chair) & Athena Akrami, Mehrdad Jazayeri, Jennifer Li, Scott Linderman, Ashok Litwin-Kumar, Ida Momennejad, Christina Savin, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de<mailto:bernstein.conference@fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Karsten Beneke (stellv. Vorsitzender), Prof. Dr. Ir. Pieter Jansens ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Open PhD positions at the University of Sussex
by Johanna Senk 22 Jul '24

22 Jul '24

Two fully-funded PhD scholarships (3.5 years) are available at the University of Sussex in Brighton, UK, for a project about bio-inspired multi-task learning with adaptive network structures. Applicants should have a background in physics, mathematics, computer science, computational neuroscience, or a related field. Solid skills of math and programming (preferentially in Python or C++) are required. Experience with modelling, analysis of complex systems, simulation, and software development are beneficial. Applicants should have a keen interest in neuroscience, interdisciplinary projects, and collaborative work. For further details and instructions on how to apply, please visit: https://www.sussex.ac.uk/study/fees-funding/phd-funding/view/1742-PhD-Infor… Informal enquiries about this opportunity are highly encouraged and can be sent to Johanna Senk (j.senk(a)sussex.ac.uk <mailto:j.senk@sussex.ac.uk>). -- Dr. Johanna Senk Lecturer in Computer Science School of Engineering and Informatics Chichester Building University of Sussex Brighton BN1 9QF United Kingdom

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PhD position @TU Berlin on Computational Cognitive Neuroscience of Language
by Anuja Negi 22 Jul '24

22 Jul '24

Hi, *Job Opening: PhD position @TU Berlin on Computational Cognitive Neuroscience of Language* We are looking for a highly motivated researcher to join our group for an ERC-project that focuses on the development of computational models to understand how linguistic information is represented in the human brain. Computational encoding models in combination with large language models will be developed, compared, and applied to identify linguistic representations in the brain. We are a small yet dynamic international team, driven by motivation and collaboration within a supportive environment. Please find further details about the positions and how to apply here: https://www.jobs.tu-berlin.de/stellenausschreibungen/184845 Employer: TU Berlin Salary grade: TV-L 13 Berliner Hochschulen Starting date: Immediately The application deadline is August 16th, 2024. For informal inquiries please contact Fatma Deniz (deniz(a)tu-berlin.de) directly. Best, Anuja

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CFP- ICICIP2025, Muscat, Oman, February 6-11, 2025
by Pub Conference 21 Jul '24

21 Jul '24

*Call for 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 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 paper submission system is now open. Submission link: https://openreview.net/group?id=IEEE.org/ICICIP/2025/Conference&referrer=%5… *Submission deadline: November 1, 2024*

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Announcing SNUFA 2024 workshop: 5-6 November, 2024
by Friedemann Zenke 19 Jul '24

19 Jul '24

We are happy to announce SNUFA 2024: 5-6 November (online)--your friendly focus meeting on spiking neural networks that compute. Abstract submission and registration are now open! 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. 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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"Bridging Fields in Creativity" - 11-13 September 2024 - Germany
by Matthias Kaschube 19 Jul '24

19 Jul '24

Dear Colleagues, We would like to announce the upcoming conference "Bridging Fields in Creativity: Towards Circuit Mechanisms of the Creative Process." This interdisciplinary event aims to explore and unify approaches to understanding creativity's neural mechanisms. REGISTRATION OPEN NOW Date: 11-13 September 2024 Location: Altes Amtsgericht Oppenheim, Germany (30 min from FRA airport) Homepage: conference information <https://fias.institute/en/events/conferences/2024/creativity-conference/> Registration: conference registration <https://indico.cern.ch/event/1424765/registrations/106509/> Confirmed Speakers: Anna Abraham (U Georgia, USA) Jaan Aru (U Tartu, Estonia) Roger Beaty (Penn State, USA) Mathias Benedek (U Graz, Austria) Carlos Brody (Princeton, USA) Caroline di Bernardi Luft (Brunel U London, UK) Yoed Kenett (Technion, Israel) Kristian Kersting (TU Darmstadt, Germany) Daniel Schacter (Harvard, USA) Claire Stevenson (U Amsterdam, The Netherlands) Tony Veale (U Dublin, Ireland) Angela Yu (TU Darmstadt, Germany) We look forward to seeing you in Oppenheim. Bastian Eppler, Matthias Kaschube Frankfurt Institute for Advanced Studies Institute of Computer Sciences Goethe University Frankfurt, Germany Simon Rumpel Institute of Physiology University Medical Center Johannes-Gutenberg University Mainz, Germany

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CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 19TH ANNUAL BEST ILLUSION OF THE YEAR CONTEST
by smart＠neuralcorrelate.com 19 Jul '24

19 Jul '24

**** CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 19TH ANNUAL BEST ILLUSION OF THE YEAR CONTEST**** http://illusionoftheyear.com We are happy to announce the 19th edition of world's Best Illusion of the YearSM Contest, hosted by the Neural Correlate Society and supported again by the Museum of Illusions <https://www.museumofillusions.com/> as Platinum Sponsor!! Submissions are now welcome! In 2015, the Best Illusion of the YearSM Contest became an annual online event, with the goal of bringing the creativity of the illusion creator community all around the world. Anybody with an internet connection can participate! No matter where you live, you can be a contestant, and/or vote for the Top 3 winners! Contestants are invited to submit 1-minute YouTube or mp4 videos featuring novel illusions (unpublished or published no earlier than 2023) of all sensory modalities (visual, auditory, etc.) and/or cognitive nature. Novel variants of known illusions are welcome. The content of the 1-minute video presenting your illusion is solely up to you, and the only requirement is that it wows all viewers! Some examples include, but are not limited to: * A slide presentation, or succession of images, with a voice over (and/or written text, if you prefer) * A video of yourself describing your illusion * A video animation/theatrical performance of your illusion An international panel of impartial judges will rate all the videos and narrow them down to the Top 10. Then, online voters around the world will choose their favorite illusions from the Top 10 finalists. The Top 3 winners will receive cash prizes: $3,000 USD for first place; $2,000 USD for second place, and $1,000 USD for third place. The Judge Panel will rate illusions according to: * Significance to our understanding of the human mind and brain * Simplicity of the description * Sheer beauty * Counterintuitive quality * Spectacularity Submissions will be held in strict confidence by the Judge Panel. Only the Top 10 illusions will be posted online, to allow worldwide voting. Participation in the Best Illusion of the YearSM Contest does not preclude you from also presenting or submitting your work for publication elsewhere. By participating in the Best Illusion of the YearSM Contest you agree to have your illusion posted on the Contest website, if selected among the Top 10, and included in press releases and other promotional materials/fundraising initiatives for the Contest. You (and your co-authors, if appropriate) will retain the full copyright of your illusion and receive full credit as illusion creator(s). Illusions submitted to previous editions of the contest can be re-submitted to the 2024 Contest, as long as they meet the above requirements and were not among the Top 10 finalists in previous years. You can send your 1-minute video to Susana Martinez-Conde via email (illusion.contest.entries(a)outlook.com <mailto:illusion.contest.entries@outlook.com> ) until September 15th, 2024. On behalf of the Executive Board of the Neural Correlate Society: Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez, Xoana Troncoso, Peter Tse ---------------------------------------------------------- Susana Martinez-Conde, PhD Author, Champions of Illusion <x-msg://2/championsofillusionbook.com> and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology Director, Laboratory of Integrative Neuroscience Empire Innovator Scholar State University of New York (SUNY) Downstate Health Sciences University 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart(a)neuralcorrelate.com <mailto:smart@neuralcorrelate.com> Phone: +1 718-270-4520 <tel:%2B1%20718-270-4520> http://smc.neuralcorrelate.com

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Several post-doc positions available at the Paris Brain Institute (ICM) for new DBS project
by joana.guedes＠icm-institute.org 17 Jul '24

17 Jul '24

Dear all, A new multidisciplinary project recently kicked-off at the Paris Brain Institute (ICM), called DBS - From genetic mutations to motor defects & recovery: https://institutducerveau-icm.org/en/major-cross-functional-project-deep-br… We are now recruiting for 8 post-doc positions that will be shared between 2 labs at the ICM. Below, you can find more information about DBS and links to the job postings. A motor circuit approach linking genes to behavior in Parkinson’s disease DBS is an exciting collaborative, interdisciplinary and multi-species initiative at the Paris Brain Institute. By bridging approaches from human genetics, cellular neurobiology, computational approaches, physiology of motor circuits from genetic model organisms to humans, our aim is to build novel strategies to stimulate resilient motor circuits in Parkinson’s disease. The originality of the DBS project lies in its interdisciplinary approach involving duos of researchers from different fields of neuroscience with very different backgrounds who will closely train the next generation of postdoctoral fellows. Collective Interest Projects (CIPs) - Collaborative, interdisciplinary, innovative & transformative We are now recruiting postdoctoral fellows dedicated to individual Collective Interest Projects, co-supervised by experts from diverse fields. These early-career researchers will receive interdisciplinary training, spanning genetics, cellular physiology, imaging, optogenetics, behavior, or modeling. We offer world class research facilities and double supervision from leaders across fields of neuroscience. You would be part of a dynamic community of young researchers within a highly collaborative environment! The job postings (still missing one): • CorticalMLR project - https://institutducerveau-icm.org/wp-content/uploads/2024/06/dbs_cip-cortic… • LysoPDCalcium project - https://institutducerveau-icm.org/wp-content/uploads/2024/06/dbs_cip-lysopd… • MAP-MODEL-MLR project - https://institutducerveau-icm.org/wp-content/uploads/2024/07/dbs_cip-map-mo… • SUSCEPTDopamine project - https://institutducerveau-icm.org/wp-content/uploads/2024/07/dbs_cip-suscep… • Knock-in Fish project - https://institutducerveau-icm.org/wp-content/uploads/2024/07/dbs_cip-knock-… • FUST project - https://institutducerveau-icm.org/wp-content/uploads/2024/07/dbs_cip-fust_r… • Project Behavioral homology - https://institutducerveau-icm.org/wp-content/uploads/2024/07/dbs_cip-unstab… All positions are also available here: https://institutducerveau-icm.org/en/espace-dedies/welcome-recruitment-2/ Best wishes, Joana Guedes

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Tenure-Track Position in Artificial Intelligence for Science
by Frederic Jurie 15 Jul '24

15 Jul '24

Job Title: Tenure-Track Position in Artificial Intelligence for Science Department: College of Science Location: University of Caen, Normandy, France Research lab : GREYC CNRS https://www.greyc.fr Reporting To: University President Collaborating With: Fellow Academics, Postgraduate Students Position Level: Academic and Research Working Hours: 64 teaching hours per year; total working hours variable due to additional research, administrative, and service responsibilities Contract Type: Fixed-Term (4 years), with an expectation of automatic promotion to full professorship after the term Gross salary: €43,416/year Package: €200,000 (for recruitment of doctoral students, research funding, etc.) Summary of the position The University of Caen is seeking a dynamic and innovative researcher to join our faculty as a tenure-track professor in the field of Artificial Intelligence (AI) and Machine Learning (ML) for Science. This position is part of our initiative to become a leading institution in AI for transforming research across a wide range of disciplines. We are looking for candidates with a strong multidisciplinary background at the interface of AI/ML and sciences, and whose research can drive significant advancements in nuclear physics, materials science, or chemical engineering. The successful candidate will be expected to contribute to our endeavour of leveraging AI/ML to make discoveries in these fields and to explore the societal impacts of these technological advancements. Main Duties Lead pioneering research projects integrating AI/ML with nuclear physics, materials science, or chemical engineering to drive significant scientific advancements. Interdisciplinary Collaboration: Work with interdisciplinary teams to leverage AI/ML for discoveries across the above scientific disciplines. Secure Funding: Obtain external funding from national and international agencies to support and expand research initiatives. Teaching and Mentorship: Teach and mentor undergraduate and graduate students. Scholarly Publications: Publish research findings in top-tier academic journals and present at prestigious international conferences. Community Engagement: Engage with the broader scientific community and the public to communicate the societal impacts of AI/ML advancements. Curriculum Development: Contribute to the development and enhancement of the AI/ML curriculum within the College of Science. Service Responsibilities: Participate in departmental, college, and university service activities, including committee work and outreach programs. Expected Qualifications Educational Background: A Ph.D. in one of the following fields: Computer Science, AI, ML, Applied Mathematics, Material Sciences, Chemistry, Nuclear Physics. Research Experience: At least 4 years of postdoctoral research experience. Expertise: Demonstrated expertise in applying AI/ML to scientific research, with a strong publication record in top-tier journals. Funding: Proven experience in securing research funding from competitive sources. Communication Skills: Excellent communication and collaboration skills, with a track record of interdisciplinary teamwork. Mentorship: Experience in advising and mentoring graduate students. Teaching: Demonstrated teaching experience at the undergraduate and/or graduate level. Innovation: A strong commitment to innovation and the ability to translate research findings into practical applications. Leadership: Potential for leadership in developing new research initiatives and contributing to the strategic goals of the university. Language : knowledge of French is mandatory for teaching. Application Research Statement: A detailed statement outlining your research interests, goals, main contributions and achievements. Significant Publications: A list of your five most significant publications, along with a portfolio showcasing your research contributions. Research Project Proposal: A comprehensive proposal of your intended research project, including objectives, methodology, expected outcomes. Implementation Plan: A description of how you plan to implement the research project at the University of Caen, including potential collaborations, required resources, and a timeline. How to Apply Applications are to be submitted through the following site: : https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/cand_CPJ.htm The application file has to be filled in with this template: https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/CPJ/CPJ_applica… If you're having trouble with the online submission procedure (which may seem complex at first), we'll be happy to help. Important dates Application Deadline: September 15, 2024 Notification of Decision: By the end of October 2024 Position Start Date: December 2024 Contact For further information, please email Frederic Jurie at frederic.jurie(a)unicaen.fr, using 'AI for Science Tenure-Track Position' as the email's subject. In addition, the official presentation of the position (in French and English) is available here: https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/ListesPostesPub…

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ANEIS: Applied Neurosciences EBRAINS-Italy School - Sept. 9-14, 2024 (Ventotene Island, Italy)
by Mattia Maurizio 13 Jul '24

13 Jul '24

Dear Colleague, This is to announce the forthcoming ANEIS 2024 - APPLIED NEUROSCIENCES SCHOOL LINKING NEUROTECHNOLOGY TO CLINICS (Ventotene – LT – Italy - September 9-14, 2024) In the framework of EBRAINS-Italy<https://ebrains-italy.eu/> training initiatives. ANEIS 2024 program offers up to 30 students an immersive experience to the participants at the forefront of neuroscience research and its applications, covering a broad range of themes, including theoretical, computational, and systems neuroscience, data analysis, neuroinformatics, and clinical applications. The deadline for application is July 30, 2024 To process the application, and for other information, please CLICK HERE<https://aneis.eu/> Applicants can be junior scientists (PhD students and Post-Doc fellows or residency students) beginning their careers in the broad field of Neuroscience. Registration is limited to 30 participants. Admission to ANEIS 2024 will be on a selection based on the provided CV, a Motivation letter, and the sponsorship of a senior researcher. Applicants excluded from the list of attendees of ANEIS 2024 will be included in the priority list for the ANEIS 2025. The registration fee is € 300. This amount covers: · tuition fee. · lodging for 5 nights (from September 9 to September 13, 2024) · lunches only and the social dinner. · touristic boat experience We are looking forward to hearing from you. Sincerely, Michele Giugliano (SISSA and UNIMORE) Stefano Ferraina (UNIROMA1) Jonathan Mapelli (UNIMORE) Maurizio Mattia (ISS) [https://www.iss.it/o/iss/images/ISS.png] Scegli l'Istituto Superiore di Sanità. Dona il 5x1000 alla Ricerca Sanitaria Firma e inserisci il Codice Fiscale 80211730587 ________________________________ Per saperne di più clicca qui<[https://www.iss.it/-/l-iss-sostiene-i-giovani-ricercatori-con-il-5x1000-1]>

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Fully funded PhD position in Lifelong Machine Learning at Loughborough University
by Andrea Soltoggio 12 Jul '24

12 Jul '24

Dear All, A fully funded PhD position is available in my research group at Loughborough University on the topic "Lifelong learning and shareable models: How to reduce the energy footprint of AI and contribute to a sustainable decarbonised future". Please find further details at https://www.lboro.ac.uk/study/postgraduate/research-degrees/phd-opportuniti… Application deadline: 19th July 2024 This project will further extend research directions highlighted in our recent paper "A collective AI via lifelong learning and sharing at the edge" Nature Machine Intelligence, March 2024, available at : https://rdcu.be/dB9zt Requirements: Applicant should have, or expect to achieve, a first-class honours (or international equivalent) in computer science or related subjects. Applicants must meet the minimum English language requirements ( International website<http://www.lboro.ac.uk/international/applicants/english/>) Project details: Current AI models are not designed to reuse and share knowledge. When conditions change, e.g., data distributions, locations, or platforms, retraining needs to occur from scratch. In some cases, like for foundation models or for complex robotics tasks, the process requires very large amount of data and energy. Recent advances towards lifelong learning and sharable models promise to create a new efficient AI landscape in which machine-learned knowledge can be built incrementally and worldwide with optimized energy use. This PhD project aims to advance the latest lifelong learning and sharable AI models to contribute to reduce the energy footprint of AI. An overview of this emerging field can be found in a recent publication from our group on Nature Machine Intelligence https://doi.org/10.1038/s42256-024-00800-2 The student will be part of a growing group of researchers in machine learning and artificial intelligence in the Computer Science Department with collaborators from Loughborough Business School. Learn more about Digital Decarbonisation<https://www.lboro.ac.uk/schools/business-school/digital-decarbonisation/>. The project is in collaboration with the co-supervision of Dr. Vitor Castro, Dr. Rebecca Higginson and Prof. Tom Jackson. Best regards, Andrea Soltoggio -- Dr. Andrea Soltoggio (he/him or they/them) Reader in Artificial Intelligence Department of Computer Science, School of Science & Intelligent Automation Centre https://www.intelligent-automation.org.uk/about-us/centre-staff & Centre for Information Management https://www.lboro.ac.uk/departments/sbe/cim/ Haslegrave Building, N.2.03 Loughborough University LE11 3TU, UK Email: a.soltoggio(a)lboro.ac.uk<mailto:a.soltoggio@lboro.ac.uk> Web: http://www.lboro.ac.uk/departments/compsci/staff/dr-andrea-soltoggio.html

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Postdoctoral and PhD opportunities - Lefebvre Lab
by J?r?mie Lefebvre 11 Jul '24

11 Jul '24

Postdoctoral and PhD opportunities - Resilience and diversity of complex networks - University of Ottawa, Ottawa, Canada Application Deadline: Sept 1st 2024 (reposted, deadline extended) The Lefebvre (https://scholar.google.com/citations?user=CNtIaZoAAAAJ&hl=fr ) and Kharouba (https://kharoubalab.weebly.com/) labs are seeking candidates to fill ONE Postdoctoral and ONE PhD (Physics, Theoretical biology and/or Cellular and molecular medicine) fully funded, co-supervised positions to explore how heterogeneity influences the dynamics and resilience of complex systems. These interdisciplinary projects will combine mathematical (e.g., dynamical systems, spectral theory), computational (e.g., data-informed simulations) approaches used in neuroscience and other complex systems fields to study how cellular heterogeneity contributes to the stability, coding capacity and resilience of neural circuits and overall brain function(s). The overall objective of the projects is to better understand the role played by heterogeneity in the genesis of critical events (e.g., seizures) and identify potential intervention strategies and/or therapeutic targets. A lay summary of the project can be found here (https://theconversation.com/what-epilepsy-teaches-us-about-diversity-and-re…) Relevant publications: https://www.cell.com/cell-reports/fulltext/S2211-1247(22)00636-2, https://www.pnas.org/doi/full/10.1073/pnas.2218841120 The successful candidate will join an extensive network of existing experimental and clinical collaborations with both internal (uOttawa) and external groups (University of Toronto, Krembil Brain Institute, UHN). The research will be conducted in the uOttawa Bioscience Complex, a teaching and research hub hosting dozens of state-of-the-art experimental and computational interdisciplinary research facilities in downtown Ottawa, Canada. Successful candidates will be immersed in a highly interdisciplinary environment, with access to many additional training and networking activities, and be associated with Centre for Neural Dynamics, the Ottawa-Carleton Institute of Biology, the uOttawa Brain and Mind Institute as well as the Krembil Brain Institute. Details Start dates: as early as September 1st 2024. Position Description: Trainees will be expected to work in-person for most of the position. Trainees will be expected to participate in the lab's scholarly activities (i.e., workshops, meetings), and to support other lab member's work whenever applicable. We expect from applicants to demonstrate the ability to work respectfully with others in teams to carry out project goals and contribute to an inclusive lab environment. Additional details of the projects will be provided during the interview process. Please don't hesitate to reach out at Jeremie.Lefebvre [at] uottawa.ca for any questions. Requirements The ideal candidates are expected to possess strong mathematical, computing, writing and presentation skills, and express a vivid interest in computational neuroscience, applied mathematics, computational biology and biophysics. Applicants must meet the required qualifications for admission to graduate/postgraduate studies at the University of Ottawa, and comply to international regulations regarding traveling, studying and working in Canada whenever applicable. Successful candidates must be eligible to work in Ontario as of September 1st 2024 (or at a mutually agreed date) Funding Postdoctoral position: This position is fully funded for 2 years with a stipend of $48,000 CAD per year plus benefits. PhD position: This position is fully funded for 4 years with a stipend of $30,000 CAD per year, including teaching assistantship duties. The successful candidate will be eligible to apply for Teaching Assistant (TA) positions and/or other scholarships, such as entrance scholarships. Accommodations and Accessibility: Should you require a copy of this posting in an alternate format, please contact us as soon as possible and we would be happy to get one to you in a timely manner. We believe in the importance of supporting on the-job success for the incumbent and are pleased to discuss and/or provide specific tools, resources, or other requirements for day-to-day work requirements, as needed. How to Apply :Interested candidates are invited to submit their application to Jeremie.Lefebvre [at] uottawa.ca, using the subject headline "Resilience position". In your dossier, please include: 1. A cover letter stating your interest and explaining why you are a good candidate for this position, and specify clearly which position (Postdoc, PhD) you are applying for 2. Up to date CV including a list of publication, if applicable 3. Contact information for 2 references Applications will be reviewed until the position is filled. Only candidates selected for an interview will be contacted. Jeremie Lefebvre

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[Meetings] Call for Participation - Join Us at NeuroWearX 2024: Advancing Wearable Robotics and Neural Interfacing Technologies @ IEEE EMBC 2024!
by NeuroWearX 10 Jul '24

10 Jul '24

Dear Neuroscientists and Roboticists, We are excited to invite you to participate in the NeuroWearX 2024 workshop, held in conjunction with the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2024) on July 15, 2024. This engaging and insightful event will take place from 8:30 AM to 12:30 PM EST at Disney's Coronado Springs in Orlando, USA. We also offer a “Hybrid” format for remote attendees. Call for Participation: Date: July 15, 2024 Time: 8:30 am - 12:30 pm EST Location: Disney's Coronado Springs, Orlando, USA Format: Onsite & Online (via Zoom for free) NeuroWearX Workshop: https://www.neurodesign-hri.ws/neurowearx-2024 In conjunction with IEEE EMBC 2024: https://embc.embs.org/2024/ Workshop Description:: The field of wearable robotics is advancing rapidly, with innovations like exoskeletons and prosthetics poised to revolutionize healthcare and enhance daily living. To fully harness their potential, these devices must be intuitive, comfortable, and seamlessly integrated with the human body and mind. NeuroWearX 2024 workshop will explore the cutting-edge integration of human, AI, and machine through wearable and implantable neural interfacing technologies. Our goal is to revolutionize healthcare with a focus on equity and accessibility. The workshop will cover a wide range of topics, including: - Neural Interfaces and Interaction Technologies: Explore biosensors, wearable robotics, Virtual/Augmented Realities, and human-AI interactions. - Neuroscience and Behavioral Psychology: Understand the cognitive and physiological interactions between humans and technology to enhance user experience, comfort, and satisfaction. - Translational Neurotechnologies: Learn about the path from research to market, technology transfer, and commercialization for diverse populations. Distinguished Speakers: - Dr. He (Helen) Huang, Professor, NC State and UNC - Dr. Pedro Lopes, Associate Professor, University of Chicago - Dr. S. Farokh Atashzar, Assistant Professor, New York University - Dr. Tyler Clites, Assistant Professor, University of California, Los Angeles - Dr. Sean Montgomery, Founder of EmotiBit Don't miss this opportunity to engage with leading experts and fellow professionals in the field. Whether you join us in person or virtually, NeuroWearX workshop is dedicated to provide an inspiring and informative event that will deepen your understanding and broaden your horizons in wearable robotics and neural interfacing technologies. Registration (for Zoom Link): Secure your spot by registering here <https://forms.gle/y6FvyN4DLWReXFFi8>: https://forms.gle/y6FvyN4DLWReXFFi8 We look forward to your participation in this exciting event! Best regards, NeuroWearX Workshop Organizing Committee

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[Call for contributed talks] Bernstein Workshop: Understanding Local Third Factors in Synaptic Plasticity
by Fabian Mikulasch 10 Jul '24

10 Jul '24

Several slots for short contributed talks are available at the Satellite Workshop *Understanding Local Third Factors in Synaptic Plasticity: Mechanisms and Functional Implications*//at the *Bernstein conference*//(Sunday, Sep 29, Frankfurt, Germany). The workshop will discuss local factors that determine synaptic plasticity beyond pre- and postsynaptic spiking. Examples include the influence of the postsynaptic membrane potential or Glial cells on synaptic plasticity. More information on https://bernstein-network.de/bernstein-conference/program/satellite-worksho… Potential speakers might apply with a short abstract of the planned talk and relevant references if applicable. We especially encourage early stage researchers to contribute their results! To apply, please contact Andreas Schneider (andreas.schneider(a)ds.mpg.de) Fabian Mikulasch (fabian.mikulasch(a)ds.mpg.de) or Viola Priesemann (viola.priesemann(a)ds.mpg.de) Best regards, Andreas Schneider Fabian Mikulasch Viola Priesemann

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Call for Participation - ACAIN 2024 - 4th Int. Advanced Course on Artificial Intelligence & Neuroscience, September 22-25 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy -> Deadline: July 23
by ICAS Organizing Committee 10 Jul '24

10 Jul '24

Call for Participation (apologies for multiple copies) ________________________________________________________________________ The 4th International Advanced Course on Artificial Intelligence & Neuroscience, September 22-25, 2024, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy W: https://acain2024.icas.events E: acain(a)icas.cc FB: https://www.facebook.com/ACAIN.LakeDistrict/ Course Deadline Regular Registration (Course): by July 23 https://acain2024.icas.events/registration/ SCOPE & MOTIVATION: ACAIN 2024: AI meets Computational Neuroscience and Cognitive Science The ACAIN 2024 is an interdisciplinary event featuring leading scientists from AI and Neuroscience, providing a special opportunity to learn about cutting-edge research in the fields of AI, Neuroscience, Neuroscience-Inspired AI, Human-Level AI, and Cognitive Science. The 4th Advanced Course on Artificial Intelligence & Neuroscience (ACAIN) is a full-immersion four-day Course and Symposium in Tuscany on cutting-edge advances in Artificial Intelligence and Neuroscience with lectures delivered by world-renowned experts. The Course provides a stimulating environment for academics, early career researchers, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with oral talks or posters, and to interact with their colleagues, in a convivial and productive environment. Two days of keynote talks and oral presentations, the ACAIN Symposium, (September 24-25), will be preceded by lectures of leading scientists, the ACAIN Course, (September 22-23). Bringing together AI and neuroscience promises to yield benefits for both fields. The future impact and progress in both AI and Neuroscience will strongly depend on continuous synergy, exchange, collaboration and efficient cooperation between the two research communities. These are the goals of the International Course and Symposium - ACAIN 2024, which is aimed both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2024 accepts rigorous research that promotes and fosters multidisciplinary interactions between artificial intelligence and neuroscience. The Advanced Course is suited for scholars, academics, early career researchers, Post-Docs, PhD students and industry leaders. The Event (Course and Symposium) will involve a total of 36-40 hours of lectures. Academically, this will be equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Event. LECTURERS https://acain2024.icas.events/course-lecturers/ * Maria Eckstein, Google DeepMind, London, UK * Auke Jan Ijspeert, EPFL, Switzerland * Zeb Kurth-Nelson, Google DeepMind & UCL, London, UK * Loic Matthey, Google DeepMind, London, UK * Kevin J. Miller, DeepMind & UCL, London, UK * Thomas Parr, Oxford University, UK * Melika Payvand, Institute of Neuroinformatics, University of Zurich & ETH Zurich, Switzerland * Alessandro Treves, International School for Advanced Studies, Italy More Lecturers TBA COURSE DESCRIPTION: https://acain2024.icas.events/course-description/ VENUE & ACCOMMODATION: https://acain2024.icas.events/venue/ ACAIN 2024 is a *Residential Conference*, all participants (invited speakers, authors, organizers, chairs, participants) must book and stay at the Riva del Sole Resort and Spa. No exceptions are allowed. https://lod2024.icas.events/lod-2024-a-residential-conference/ Riva del Sole Resort & SPA a: Località Riva del Sole - Castiglione della Pescaia (Grosseto) CAP 58043, Tuscany - Italy p: +39-0564-928111 f: +39-0564-935607 e: booking.events(a)rivadelsole.it w: www.rivadelsole.it/en ACTIVITIES: https://acain2024.icas.events/activities/ REGISTRATION: https://acain2024.icas.events/registration/ See you in Tuscany in September! ACAIN 2024 Organizing Committee. E: acain(a)icas.cc W: https://acain2024.icas.events *8th Advanced Course on Data Science & Machine Learning - ACDL 2025, *9-13 June, Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) – Tuscany, Italy An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders *Early Registration: by February 23, 2025 (AoE)* https://acdl2025.icas.events/registration/ https://acdl2025.icas.events/ acdl(a)icas.cc The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. *10th International Conference on Learning, Optimization and Data – LOD 2024, *22–25 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://lod2024.icas.events/ lod(a)icas.cc *4th Advanced Course ** and Symposium **on Artificial Intelligence and Neuroscience – ACAIN 2024,* 22–25 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://acain2024.icas.events/ acain(a)icas.cc *Author Registration Deadline: June 23 * *Early Registration Deadline for the Course: June 23* The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. *ICAS* *-* *The Interdisciplinary Centre of Advanced Studies* https://icas.cc/

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Postdoc opportunity in Stockholm, Sweden
by Gonzalo Uribarri 08 Jul '24

08 Jul '24

Hello everyone, Our research group is looking for a Postdoc to work on a project involving Machine Learning and Dynamical Systems modeling applied to biomedical data. The project is part of a collaboration with Getinge, a leading MedTech company based in Stockholm, and is funded by a grant from Vinnova, the Swedish innovation agency. You can find the details of the position at the following link: https://kth.varbi.com/en/what:job/jobID:739922/ For both formal and informal inquiries, you can contact me directly ( uribarri(a)kth.se) or the group's PI, Erik Fransén (erikf(a)kth.se) Please share this with anyone who might be interested in the position. Best regards, Gonzalo Uribarri

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[REMINDER] Student applications are open for Imbizo 2025
by Spyridon Chavlis 08 Jul '24

08 Jul '24

Dear friends and colleagues, Student applications for the next Imbizo are still *OPEN*. Don’t let this opportunity slip by if you are hoping to join the most diverse neuroscience summer school at the most beautiful beach in the world! If you know anyone who would benefit from an extraordinary computational neuroscience summer school, please distribute this information as widely as you can: *SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO (#Imbizo2025)* 12 January - 2 February 2025, Noordhoek Beach, Cape Town, South Africa https://imbizo.africa/ * Application deadline: 24th July 2024 at 20:00 UTC* The Imbizo is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together *international and local students* under the tutelage of the world's leading experts in the field. Like its international sister courses, this three-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of computational neuroscience, including experimental underpinnings and machine learning analogues. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modeling of neurons, neural systems, behavior, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. It also includes a week focused on neuroscience-inspired machine learning! *Who should apply?* This course is aimed at Masters and early-PhD level students, though Honors or advanced Undergraduates may also apply. Postdoctoral students who can motivate why the course would benefit them are also encouraged to apply. Students should have sufficient quantitative skills (e.g., a background in mathematics, physics, computer science, statistics, engineering, or related fields). Some knowledge of neural biology will be useful but not essential. Experimental neuroscience students are encouraged to apply but should ensure that they have a reasonable level of quantitative proficiency (i.e., at least second-year level mathematics or statistics and have done at least one course in computer programming). *Course fees and Scholarships:* Course Fee: €1450 includes all accommodation, meals, social activities, and ground transport in Cape Town. Thanks to our generous sponsors, significant financial assistance is available to reduce and waive fees for students, particularly for African applicants. We also hope to provide some limited travel bursaries for international students. If you need financial assistance to attend Imbizo, please state so clearly in the relevant section of your application. Scholarships on offer: (a) *Full Scholarship* includes a waived course fee (€1450) and your economy class travel to Cape Town, which will be booked by the Imbizo. (b) *Partial Scholarship* includes a waived course fee (€1450) and a set financial contribution towards your travel costs (paid after arrival in Cape Town). The amount will vary on a case by case basis. (c) *Course Scholarship* includes a waived course fee (€1450), but you will be responsible for booking and paying for your own travel costs to Cape Town. *Note:* (a) You must ensure you have a valid passport when applying. (b) Visa application and related costs remain the responsibility of all accepted students. *Important dates:* Applications CLOSE 24th July 2024 at 20:00 UTC References SUBMITTED 31st July 2024 at 20:00 UTC Outcomes NOTIFIED mid-September 2024 Accept BY 1 week after notifications Imbizo STARTS 12 January 2025 Imbizo ENDS 2 February 2025 *Information and applications* https://imbizo.africa/apply/ *Questions?* isicn.imbizo.planning [AT] gmail.com *What is an Imbizo?* \ɪmˈbiːzɒ\ | Xhosa - Zulu A gathering of the people to share knowledge. View our past FACULTY and TAs: https://imbizo.africa/people/ *ORGANIZERS and 2025 Affiliate Organisations:* Arif Hamid (University of Minnesota) Peter Latham (Gatsby Unit for Computational Neuroscience) Xaq Pitkow (Carnegie Mellon University) Emma Vaughan (Imbizo Logistics) Spiros Chavlis (Foundation for Research and Technology-Hellas) *Sponsors* The Imbizo is made possible by the generous support from the Simons Foundation (https://www.simonsfoundation.org/) the International Brain Research Organisation (IBRO) (https://ibro.org/) as well as the DeepMind, Meta, and others. -- *Spyridon Chavlis, PhD* Postdoctoral Researcher and Systems Administrator Poirazi Lab Institute of Molecular Biology and Biotechnology (IMBB) Foundation for Research and Technology-Hellas (FORTH) Nikolaou Plastira, 100 GR 70013 Heraklion, Crete, Greece Tel: (+30) 2810 39 1264 Εmail: chavlis.spiros(a)gmail.com Webpage: dendrites.gr <https://www.dendrites.gr>

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[Call for Participants] 1st International Whole Brain Architecture Workshop (Online, July 16 Evening JST)
by 山川宏 08 Jul '24

08 Jul '24

Dear Everyone, Hiroshi Yamakawa, Chairperson of the Whole Brain Architecture Initiative (WBAI), Japan. I'm pleased to announce that we will host the "1st International Whole Brain Architecture Workshop" as detailed below. This workshop is a key activity in WBAI's efforts to develop human-like artificial intelligence. Specifically, we aim to share and utilize standardized Brain Reference Architecture (BRA) data and related data papers as design specifications for human-like AI. This workshop marks the first of its kind. Brain-inspired AI systems with architectures similar to the human brain provide intrinsic high interpretability and human compatibility. This approach could effectively bridge the gap to more advanced artificial intelligence (AGI) This event will bring together researchers and experts from a wide range of disciplines, including neuroscience, cognitive science, and artificial intelligence, to understand and emulate the computational capabilities of the brain, and to share and leverage such data We look forward to serving as a catalyst. We cordially invite you to participate in this exciting event. Details: Date & Time: Tuesday, July 16, 2024, 18:00-21:03 JST Format: Online (via Zoom) Language: English Participation Fee: Free Program Highlights: - Keynote Lecture: Prof. Kenji Doya (Okinawa Institute of Science and Technology) "Digital Brain Project of Brain/MINDS 2.0" - Oral Presentation Session (4 presentations) - Tutorial on BRA data construction To register, please fill out the form at the following link: https://docs.google.com/forms/d/e/1FAIpQLSfIqbu1oGUP6LE6ON0tHRDpFWUHmViz7-G… Registered participants will receive Zoom meeting information (URL) the day before and on the day of the event. Organizers: Organizer: The Whole Brain Architecture Initiative Supported by Transformative Research Areas (A) Biology of Behavior Change Operation: WBA Study Group Executive Committee Program Chair: Yoshimasa Tawatsuji Executive Chair: Hiroshi Yamakawa For more information, please visit: https://wba-initiative.org/en/24158/ If you have any questions, please don't hesitate to contact us at: bra-support(a)wba-initiative.org We look forward to your participation! Best regards, Hiroshi Yamakawa Whole Brain Architecture Initiative (WBAI)

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Adam Tyson: Software Tools for Systems Neuroscience @ INCF/OCNS Software WG session on 9th July, 1500 UTC
by Ankur Sinha 08 Jul '24

08 Jul '24

Dear all, Apologies for the cross posts. Please do spread the word to interested colleagues. Adam Tyson from the Neuroinformatics Unit at the Sainsbury Wellcome Centre will talk about the software tools that their group develops at the next INCF/OCNS Software Working Group (WG) session on July 09 at 1500 UTC. There will be a Q&A/discussion session after the presentation, followed by any WG business. Please find the abstract and joining information below: - When: July 9, 1500 UTC - Where: Zoom: https://ucl.zoom.us/j/91017703246?pwd=RmdwMW9xL0FFaFVVL0Z6dUtnbkplZz09 - Web page: https://ocns.github.io/SoftwareWG/2024/06/26/wg-meeting-9-july-2024-softwar… Abstract: Understanding the brain requires processing and analysing large, multidimensional datasets. Systems neuroscience, in particular, has undergone a drastic transformation, with individual labs now commonly generating terabytes or even petabytes of data annually. While there has been an increase in software tools to process this data, many of these tools are single-purpose, inadequately maintained, or poorly integrated with the broader software ecosystem. This talk will outline some of the tools we are developing for computational neuroanatomy, video behavioural analysis, and data management. About the speaker: Adam Tyson is the Head Research Engineer at the Sainsbury Wellcome Centre and Gatsby Computational Neuroscience Unit at University College London. He established the Neuroinformatics Unit, a research software engineering team dedicated to developing robust, maintainable, and user-friendly software tools for neuroscience and machine learning. Adam completed a PhD in neuroscience at King's College London before working as a software developer at the Institute of Cancer Research and the Sainsbury Wellcome Centre. Resources/links: - BrainGlobe: https://brainglobe.info/ - Movement: https://movement.neuroinformatics.dev/ - NeuroBluePrint: https://neuroblueprint.neuroinformatics.dev/ - Neuroinformatics Unit: https://neuroinformatics.dev/ - Sainsbury Wellcome Centre: https://www.sainsburywellcome.org/web/ - Gatsby Computational Neuroscience: https://www.ucl.ac.uk/gatsby/gatsby-computational-neuroscience-unit On behalf of the WG, -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London

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Online Vocational Training and Internship: Python programing and Hypothesis Testing
by PRANAV NERURKAR 08 Jul '24

08 Jul '24

Dear colleagues, Apologies for the cross posts. Please spread the word to interested colleagues. Greetings Hope you are doing well. We are launching an internship. Registration: https://internships.utkarshminds.com/ In summary this two months internship has: 1. Students will experience advanced data analysis and work on 25 projects 2. After completion they can get a internship completion certificate 3. They can add in their resume and increase chances of getting a job 4. Only a one time fee of Rs. 99 (USD 2/EURO 2) *Description:* This internship is designed to equip you with the essential skills and knowledge to become an Applied Python Developer. You will learn how to write efficient Python code, work with data structures, handle file operations, and build real-world applications using Python. *Key Highlights:* 1. Experience writing efficient Python code 2. Master data structures and algorithms in Python 3. Build real-world applications with Python *What you will experience:* 1. Write Efficient Python Code 2. Experience best practices for writing clean, readable, and efficient Python code 3. Data Structures and Algorithms 4. Master essential data structures and algorithms in Python for effective problem solving 5. Build Real-world Applications 6. Apply your Python skills to build practical applications and projects Regards *Pranav A. NERURKAR* Specialist - AI & Data science UTKARSH MINDS +91 961-999-77-97 pranav.nerurkar@ <amandine.deplantes(a)igonogo.io>utkarshminds.com www.utkarshminds.com Nirmala Sadan, Jaya Nagar, Kasturba cross road no. 1, Mumbai - 400066

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[Call for Abstracts] - 3rd International Conference on the Ethics of Artificial Intelligence (3ICEAI) (19-25 September 2024)
by steven gouveia 05 Jul '24

05 Jul '24

[Call for Abstracts] 3rd International Conference on the Ethics of Artificial Intelligence (3ICEAI) University of Azores, Ponta Delgada, São Miguel Island, Azores 19-25 September 2024 (19-20 Online, 23-25 in-person) About: The third edition of this conference will be organized into two distinct segments. The first segment, scheduled for September 19-20, 2024, will be conducted exclusively online, featuring virtual presentations. The second segment, taking place from September 23-25, 2024, will consist solely of in-person sessions. ETHICS OF AI AWARD 2024 (in-person talks only): The best-submitted abstract will receive the opportunity to deliver a special Award Talk similar to a keynote talk (note: the selected author will have the fee waived). Previous winner (2023): Dr. Cristina Voinea (The Oxford Uehiro Centre for Practical Ethics, Uni. Oxford). We're also proud to announce a publication partnership with Palgrave Macmillan. Selected papers presented at the conference will be considered (following a peer-review process) for inclusion in the Palgrave Handbook of the Ethics of Artificial Intelligence, which will be edited by Steven S. Gouveia. The community is invited to submit proposals in different research fields until August 1st, 2024. KEYNOTES SPEAKERS: * Sabina Leonelli holds the Chair of Philosophy and History of Science and Technology at the Technical University of Munich, where she is also Research Director of the Ethical Data Initiative. * Pekka Mäkelä is an is a Research Coordinator in the Helsinki Institute for Social Sciences and Humanities (HSSH) at the University of Helsinki and the co-leader of the RADAR Group. * Ariane Hanemaayer is an Associate Professor at Brandon University, Canada, in the departments of Sociology and Gender and Women's Studies, and Affiliate Scholar at the Max Planck Institute for the History of Science. * Raul Hakli is a university researcher in practical philosophy and co-leader of the RADAR group. * Eleanor Drage is a Senior Research Fellow at the University of Cambridge Leverhulme Centre for the Future of Intelligence. * Hasse Hämäläinen is AI Scientist at Mehiläinen, holding a PhD in Philosophy in Philosophy from the University of Edinburgh. * Veridiana Cordeiro is a sociologist, a Professor at the Department of Sociology at the University of São Paulo, and a research fellow at the Center for Artificial Intelligence (IBM-Sao Paulo Research Foundation). Topics might include (but are not limited to): 1. Algorithmic Fairness and Bia 2. Privacy and Data Protection 3. Transparency and Explainability 4. Accountability and Responsibility 5. Human Rights and Social Justice 6. AI in Healthcare 7. AI in Autonomous Systems 8. Ethical Frameworks and Guidelines 9. AI and Decision-Making 10. Ethics of AI in Public Policy 11. AI and Environmental Ethics 12. Ethical Education and Awareness 13. AI in the Workplace 14. Global Perspectives on AI Ethics 15. Emerging Ethical Issues in AI 16. AI, Aesthetics and Cinema 17. Other topics related. FEES: * Professionals (posdoc, professor, tenure-track): € 160,00 * Students: (Master, PhD): € 110,00 Languages of the colloquium: English and Portuguese. SUBMISSIONS: * IMPORTANT: you should clearly state if you are submitting for the online segment (OS) (19-20 September) or the in-person segment (PS) (23-25 September). If (OS), you need to provide a preferred time schedule considering the Azores Time Zone (UTC - 1 hour). In-person submissions have a higher chance of being accepted (more slots available); * Proposals should include two files: (in word. format): (1) a cover page with identification, academic affiliation, and title (2) an anonymized title and abstract (maximum 250 words) and sent to interconfethicsofai(a)gmail.com * Paper duration: 30 minutes (20 minutes presentation + 10 minutes for discussion); * Information: in order to facilitate the request for funding of the accepted talks so speakers can prepare their travel in advance, notification of acceptance or rejection will be given in a 7-10 days period after the submission is submitted (and reviewed); * Papers presented at the colloquium are expected to be published in several projects (volumes, special issues, etc.) (this is optional - more information after the end of the conference); * Any doubts or concerns can be addressed to: interconfethicsofai(a)gmail.com Venue: University of Azores | Address: Rua da Mãe de Deus, 9500-321 Ponta Delgada, São Miguel, Açores. Organization: Mind, Language and Action Group | Institute of Philosophy | University of Porto Center for Humanistic Studies | University of the Azores Organizing Committee Steven S. Gouveia (Chair) Rui Sampaio da Silva (Local Organizer) Sofia Miguens Jaroslav Malík Romeu Ivolela Liberty Severs Support: CEEC Project by FCT 2022.02527.CEECIND TL Modern & Contemporary Philosophy RG Mind, Language and Action Group (MLAG) Instituto de Filosofia da Universidade do Porto – UIDB/00502/2020 Fundação para a Ciência e a Tecnologia (FCT) Reitoria da Universidade do Porto + Center for Humanistic Studies University of the Azores

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PhD-Researcher and Lecturer, Neurocomputation of Language, Tilburg University (1.0 fte, six years)
by Harm Brouwer 03 Jul '24

03 Jul '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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Ph.D. position in Theoretical and Applied Neuroscience - Deadline 29th July 2024.
by Eleonora Russo 02 Jul '24

02 Jul '24

One Ph.D. position is available within the National Ph.D. Program in ‘Theoretical and Applied Neuroscience’. The Ph.D. will be held in the Brain Dynamics Lab<https://www.santannapisa.it/en/institute/biorobotics/brain-dynamics-laborat…> at the Biorobotics Institute of Sant'Anna School of Advanced Studies, Pisa (Italy) in collaboration with the Kelsch Group<http://www.synapticwiring.com/index.html> at the University Medical Center, Johannes Gutenberg University, Mainz (Germany). Information about the call can be found here<https://www.unicam.it/bandi/2024/bando-n0046958-del-28062024>. The deadline for applying to the position is at 13:00 on 29 July 2024. The project description can be found here<https://www.unicam.it/sites/default/files/bandi/2024/06/ANNEX%201_TAN_ciclo…> under ‘Code 4.2’. Project title: Functional modeling of brain dynamics: understanding reinforcement learning through the lens of dynamical systems. Keywords: neural coding, neuronal manifolds, modelling, dynamical system reconstruction, RNN, statistical mechanics, machine learning, reinforcement learning, dopamine. Host Institution: Sant'Anna School of Advanced Studies, BioRobotics Institute Reference person/supervisor: Russo Eleonora; eleonora.russo(a)santannapisa.it Research topic description Understanding the dynamical systems governing neuronal activity is crucial for unraveling how the brain performs cognitive functions. Historically, various forms of recurrent neural networks (RNNs) have been proposed as simplified models of the cortex. Recently, due to remarkable advancements in machine learning, RNNs' ability to capture temporal dependencies has been used to develop tools for approximating unknown dynamical systems by training them on observed time-series data. This approach allows us to use time series of electrophysiological multi-single unit recordings as well as whole brain ultra-high field functional imaging (fMRI) to parametrize neuronal population dynamics and build functional models of cognitive functions. The objective of this research project is to investigate the neuronal mechanisms underlying the reinforcement and depreciation of perceived stimuli in the extended network of the mouse forebrain regions. Research team and environment The PhD student will carry out his/her/their studies primarily at the BioRobotics Institute of Sant'Anna School of Advanced Studies. The project will expose the student to a highly international and interdisciplinary context, in tight collaboration with theoretical and experimental neuroscientists in Italy and abroad. At the BioRobotics Institute, the research groups involved will be the Brain Dynamics Lab, the Computational Neuroengineering Lab, and the Bioelectronics and Bioengineering Area. Moreover, the project will be carried out in tight collaboration with the experimental group of Prof. Wolfgang Kelsch, Johannes Gutenberg University, Mainz, Germany. During the PhD, the student will have the opportunity to spend a period abroad. Preferred Research Skills and Competences The ideal candidate has a strong interest in neuroscience and a background in physics/math/biomedical engineering with computational and programming skills (ideally, knowledge of Matlab and/or Python). The ideal candidate carries out his/her/their work in a diligent, independent, and highly collaborative manner. The project will not require any experimental work. Best wishes, Eleonora Russo --------------------------------------------------------------------------------------------------------------------- Eleonora Russo, Ph.D. PI of the Brain Dynamics Laboratory Assistant Professor at Sant’Anna School of Advanced Studies, The BioRobotics Institute, P.za Martiri della Liberta', 33 56127 Pisa, Italy

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12th rTAIM Online Seminar | Francesco Prinzi (Uni. Palermo) | 24 July 2024 - 2pm Lisbon Time Zone | Zoom
by steven gouveia 02 Jul '24

02 Jul '24

Dear All, Following the 11th rTAIM Online Seminar (by Walter Sinnott-Armstrong, Duke University) available here: https://www.youtube.com/watch?v=iL8fYl-I0d8, we are happy to announce the final seminar of this academic year, the 12th rTAIM Online Seminar, with the participation of Professor Francesco Prinzi (University of Palermo, IT), 24th July 2024, 14h-15h30 Lisbon Time Zone, via Zoom. Title: From Theory to Practice: Overcoming Challenges in Implementing AI-Based CDSSs in Healthcare Abstract: In recent years, the adoption of computer-assisted tools employing Artificial Intelligence (AI) techniques has increased in several fields. These tools, which harness machine-learning and deep-learning architectures, have been pivotal in Medicine with the development of Clinical Decision Support Systems (CDSSs). CDSSs are designed to assist clinicians in critical healthcare processes, where understanding the decision-making process and ensuring system reliability are paramount. Despite the potential of data-driven AI, its application in medicine remains fraught with challenges, including the creation of high-performing yet non-interpretable CDSSs. Consequently, only a few CDSSs have transitioned from theoretical frameworks to clinical practice. Several factors hinder this transition: insufficient clinician involvement in data preparation, limited datasets, a lack of external validation, etc. The engagement of clinicians in model interpretation is crucial, as relying solely on accuracy metrics raises significant concerns about the models' validity. Regulatory agencies have responded by proposing frameworks and guidelines such as the GDPR and the AI Act to address concerns about applications of machine learning models. This presentation aims to elucidate these critical challenges and provide recommendations for implementing reliable CDSS. In particular, the discussion will focus on achieving explainability in AI models, highlighting the importance of transparent and interpretable results. The concept of Trustworthy AI is central to this integration, emphasizing that explainability, one of the key features in trustworthy AI, is essential for developers to technically validate results, for clinicians to align models with clinical literature, and for patients to understand the decisions. The presentation will cover methods to achieve explainability in both shallow and deep learning architectures, considering tabular and image inputs. Additionally, a new paradigm addressing the accuracy-explainability trade-off will be discussed, offering insights into future developments in this field. Short Bio: Francesco Prinzi received his Ph.D. in biomedicine, neuroscience and advanced diagnostics in 2023, University of Palermo. He is currently Assistant Professor at University of Palermo and affiliated with the Computer Laboratory of the University of Cambridge (UK). His research is focused on the development of diagnostic and predictive models through Machine Learning, Explainable Artificial Intelligence and Medical Imaging Analysis methods. Link: https://videoconf-colibri.zoom.us/j/93235662066?pwd=4JGunJeQskC2DOVbALXGu2P… ID Meeting: 932 3566 2066 Password: 761386 We are also happy to announce that the Call for Abstract for the 3rd International Conference on the Ethics of Artificial Intelligence that will happen in the São Miguel Islands in the Azores (Portugal), between 19-25 September 2024 (online and in-person), is OPEN for submissions (notifications of acceptance/rejectance) are given in 7-10 days). Pending peer review/editorial board acceptance, some of the papers accepted at the 3ICEAI will be selected for inclusion in the Palgrave Handbook of the Ethics of Artificial Intelligence, currently under development with Palgrave Macmillan. We will also have the ETHICS OF AI AWARD 2024 (in-person talks only): the best-submitted abstract will receive the opportunity to deliver a special Award Talk similar to a keynote talk (note: the selected author will have the fee waived). You can find the information related to the 3ICEAI here: https://trustaimedicine.weebly.com/3iceai.html Organizer

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Two postdoc positions in decision-making and learning at the University of Zurich, Switzerland
by mailinglists.4svr4＠simplelogin.com 01 Jul '24

01 Jul '24

Postdoc in neuroscience of reward learning The successful candidate will work with Prof. Todd Hare and other SNS Lab researchers on the neuro-computational basis of human learning and decision making using cutting-edge neuroimaging techniques. For example, the successful candidate will work on a project aimed to determine if reward learning and corresponding striatal responses incorporate causal knowledge during Pavlovian conditioning. Using theoretically grounded and empirically verified reward learning predictions – blocking, conditioned inhibition, and overexpectation – we will test how Pavlovian conditioning operates over stimuli that are known to be either causal generators or correlated predicters of reward outcomes. Knowledge of the causal mechanisms should, in principle, determine how a reward learning agent summates predictions over two or more conditioned stimuli and whether a specific conditioned inhibitor will block a given causal state. We will test these hypotheses using modified versions of the standard conditioned inhibition and overexpectation paradigms together with functional neuroimaging. The results of these studies will provide important new insights into the fundamental nature of reward learning. They will reveal if Pavlovian conditioning mechanisms, which are generally thought to be model-free, incorporate model-based knowledge of cause-and-effect relationships in the environment or if instead they remain agnostic about causality and operate via predictiveness alone. https://jobs.uzh.ch/offene-stellen/postdoc-in-neuroscience-of-reward-learni… Postdoc in physiology of learning and decision making The successful candidate will work with Prof. Todd Hare and other SNS Lab researchers on projects testing the dynamic interplay between decision-making and attention, arousal, memory, emotion regulation and executive functions. These studies will make use of eye-tracking, pupil dilation, cardiac and respiratory data in combination with behavioral paradigms, validated questionnaires, and computational modeling. The use of neuroimaging data (EEG, fMRI), pharmacological manipulations, or brain stimulation is also possible. https://jobs.uzh.ch/offene-stellen/postdoc-in-physiology-of-learning-and-de…

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