- Comp-neuro - lists.cnsorg.org

PhD student in Amsterdam on embodied decision-making
by Bernadette van Wijk 28 Sep '23

28 Sep '23

Dear colleagues, Within the Neurocontrol section at the Department of Human Movement Sciences, Vrije Universiteit Amsterdam, we are looking for a PhD candidate on the topic of embodied decision-making. The candidate will work at the intersection between cognition and motor control. With clever experimental designs and a strong focus on EEG time series analysis, and neural and cognitive modelling, we aim to dig into the neural mechanisms of perceptual decision making. The 4-year project will be supervised by Dr. Bernadette van Wijk, Dr. Rob van Beers, and Prof. Jeroen Smeets. Requirements: - MSc degree in human movement sciences or a related field such as (cognitive or computational) neuroscience, psychology, or biomedical engineering - Affinity with the research topics motor control and perceptual decision-making - Prior experience with conducting behavioural experiments in human participants - Prior experience with time series analysis and statistical modelling - Comfortable with programming in Matlab and/or Python - Prior experience with conducting and analyzing EEG experiments is desired For more information and to apply, please see: https://workingat.vu.nl/ad/phd-position/d6jrlg PhD position: The neural mechanisms of Embodied decision-making - 4. Working at VU workingat.vu.nl Best, Bernadette van Wijk Assistant Professor Department of Human Movement Sciences Vrije Universiteit Amsterdam The Netherlands

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UniReps Workshop on Unifying Representations in Neural Models, NeurIPS 2023, DEADLINE 04 Oct
by Clementine Domine 27 Sep '23

27 Sep '23

We are thrilled to announce the first edition of the UniReps Workshop on Unifying Representations in Neural Models <https://unireps.org/>! To be held on Dec 15, 2023 at NeurIPS 2023 <https://nips.cc/>, New Orleans, USA. Our workshop aims to explore the emergence of similar representations from diverse neural models, both artificial and biological, when exposed to similar stimuli. We will investigate this phenomenon’s reasons, conditions, and methods and explore the potential for unifying these representations into a shared framework. Additionally, we will delve into exciting applications such as model merging, stitching, and reusing independently trained modules.*Our primary objective is to foster collaboration and idea exchange among Machine Learning, Neuroscience, and Cognitive Science researchers. We aim to create a platform for interdisciplinary discussions and collaborations by bringing together experts from diverse backgrounds. Check our **Call For Papers <https://unireps.org/call-for-papers/>** below.* *For any additional information check our **website <https://unireps.org/>* *, **Twitter profile <https://twitter.com/unireps>**, **Slack workspace <https://join.slack.com/t/unirepsunifyi-stf5976/shared_invite/zt-22vr60uon-G…>**, or contact us at **unireps.organizers(a)gmail.com**.**Call For Papers* Neural models, whether in biological or artificial systems, tend to learn similar representations when exposed to similar stimuli. This phenomenon has been observed in various scenarios, e.g., when individuals are exposed to the same stimulus or in different initializations of the same neural architecture. Similar representations occur in settings where data is acquired from multiple modalities (e.g., text and image representations of the same entity) or when observations in a single modality are acquired under different conditions (e.g., multiview learning). The emergence of these similar representations has sparked interest in the fields of Neuroscience, Artificial Intelligence, and Cognitive Science. This workshop aims to get a unified view on this topic and facilitate the exchange of ideas and insights across these fields, focusing on three key points: When: Understanding the patterns by which these similarities emerge in different neural models and developing methods to measure them. Why: Investigating the underlying causes of these similarities in neural representations, considering both artificial and biological models. What for: Exploring and showcasing applications in modular deep learning, including model merging, reuse, stitching, efficient strategies for fine-tuning, and knowledge transfer between models and across modalities. *Topics* A non-exhaustive list of the preferred topics includes: - Model merging, stitching, and reuse - Representational alignment - Identifiability in neural models - Symmetry and equivariance in NNs - Learning dynamics - Disentangled representations - Multiview representation learning - Representation similarity analysis - Linear mode connectivity - Similarity-based learning - Multimodal learning - Similarity measures in NNs *Important Dates* - Paper submission deadline: Oct 04, 2023 – Submit on OpenReview <https://openreview.net/group?id=NeurIPS.cc/2023/Workshop/UniReps> - Final decisions to authors: Oct 27, 2023 *Tracks* Submissions to the workshop are organized in two tracks, both requiring novel and unpublished results: an Extended abstract track, which will address early-stage results, insightful negative findings, opinion pieces, and a Proceedings track, which will address complete papers to be published in a dedicated workshop proceedings volume. Both tracks will be included in the workshop poster session to give an opportunity to authors to present their work, and a subset of the submissions will be selected for a spotlight talk session during the workshop.*Paper Format* The full paper submissions must be at most 9 pages long (excluding references and supplementary materials) and anonymized. We will follow the Neurips general conference submission criteria for papers - for details please see: NeurIPS Call For Papers <https://nips.cc/Conferences/2023/CallForPapers>. As a note, the reviewers will not be required to review the supplementary materials, so ensure your paper is self-contained. For the extended non-archival abstracts please use the same template but limit the submission to 4 pages, excluding references. The submission site will have an option to differentiate full papers and extended abstracts. Please make sure to use the NeurIPS LaTeX template <https://media.neurips.cc/Conferences/NeurIPS2023/Styles/neurips_2023.tex> and style file <https://media.neurips.cc/Conferences/NeurIPS2023/Styles/neurips_2023.sty>. *Clementine Domine* *Gastby Computational Neuroscience Unit Phd Student* On the behalf of the Unireps committee

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NITMB Fellows Program
by William L. Kath 27 Sep '23

27 Sep '23

Dear Colleagues and Friends, We are excited to announce the launch of the National Institute for Theory and Mathematics in Biology <https://new.nsf.gov/news/new-50-million-institute-aims-use-power-math-model>! This joint venture between Northwestern University and the University of Chicago is funded by the NSF and Simons Foundation and will form a hub for research at the interface of mathematics and biology. The NITMB <https://www.nitmb.org/> will support research projects in the Chicagoland area plus a wider network of collaborators, and will also host long programs to bring researchers from around the globe together to tackle how biological systems operate, focusing on mathematical theories, modeling, algorithms, and computational approaches. We are also excited to begin recruiting talented independent postdoctoral researchers to the NITMB, and we’d like your help spreading the word. Attached you will find our call for applications tothe NITMB Fellows <https://www.nitmb.org/nitmb-fellows> Program. These are three year positions for postdocs, who can function with a large amount of autonomy at the NITMB. We hope you’ll share this broadly. Cheers, The NITMB team ---------------------------- The newly formed NSF-Simons National Institute for Theory and Mathematics in Biology (NITMB), jointly hosted by Northwestern University and the University of Chicago, invites applications for the 2024-2027 NITMB Fellows Program. We seek remarkable early-career researchers, who will have completed a doctoral degree in Mathematics, Physics, Computer Science, Engineering, Biology or related fields by September 2024. This opportunity is open to researchers who want to develop theory and computational approaches to study any area of biology. Under the mentorship of NITMB leadership, fellows will develop an independent research program aligned with the Institute’s interest in the constraints and capabilities of living systems, fostering collaborations with NITMB members or others outside the Institute. This three-year fellowship offers a competitive salary and generous research stipend. The goal of the fellowship is to empower an early-career scholar to define their research path, either independently or in close collaboration with members across various departments, including Biological Sciences, Mathematics, Physics, Computer Science, and Engineering. Appointments can start as early as February 1, 2024 but no later than September 1, 2024, and will be at the internal University rank of Postdoctoral Scholar. This position is open to individuals who are less than seven years post attainment of their Ph.D. degree. NITMB Fellows will be part of a thriving intellectual community with no teaching obligations, allowing full dedication to groundbreaking research. There are opportunities to participate in NITMB-sponsored outreach programs. Candidates must apply by emailing their application documents to Nitmb_fellows(a)nitmb.org, and will be asked to provide the following documents: cover letter, curriculum vitae, list of publications and preprints, and a description of research interests to be pursued at the NITMB. In addition, at least three letters of recommendation must be received from faculty members or senior research scientists who are active in the field of study in question. These should be sent by email to nitmb_fellows(a)nitmb.org with the candidate’s last name in the subject line. The required materials and the letters of reference must be received by November 1, 2023. We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages diverse perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange. The Universities’ Statements on Diversity are at https://www.northwestern.edu/diversity/about/mission-and-vision/ and https://provost.uchicago.edu/statements-diversity. Northwestern University and the University of Chicago are Affirmative Action/Equal Opportunity/Disabled/Veterans Employers and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the Universities’ Notices of Nondiscrimination. Northwestern strongly recommends COVID-19 vaccinations and boosters for people who can obtain them as a critical tool for minimizing severe illness. More information can be found on the COVID-19 and Campus Updates webpage. The Northwestern campus sits on the traditional homelands of the people of the Council of Three Fires, the Ojibwe, Potawatomi, and Odawa as well as the Menominee, Miami and Ho-Chunk nations. We acknowledge and honor the original people of the land upon which Northwestern University stands, and the Native people who remain on this land today.

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Postdoc in Barcelona
by Quian Quiroga, Rodrigo (Prof.) 27 Sep '23

27 Sep '23

***Apologies for multiple postings*** We are looking for a postdoc to study single cell recordings in humans, performed in epileptic patients for curative surgery. The position will be in the recently established group of Prof. Quian Quiroga at the Hospital del Mar Research Institute, in Barcelona (https://www.imim.es<https://www.imim.es/>). The project will investigate concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons in the hippocampus and surrounding areas that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga, Cell 2019), which are involved in declarative memory functions. For more details see: https://web.archive.org/web/20220108024112/https://www2.le.ac.uk/centres/cs…<https://web.archive.org/web/20220108024112/https:/www2.le.ac.uk/centres/csn…> The successful candidate will contribute to performing recordings with patients and the analysis / modelling of the data to investigate the role of these neurons in memory. The candidate should have very good quantitative skills (data processing and programing, e.g. in Matlab) and a strong background or interest in neuroscience. Informal enquiries are welcome and should be made to Prof. Rodrigo Quian Quiroga (rquian(a)imim.es) To apply see instructions in this link: https://www.imim.es/ofertes/es_detall-oferta-temporals.html?id=2343 Review of applications will start on the 2nd October 2023, and will continue until the position is filled. Best, Rodrigo Quian Quiroga

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Tenure-track Assistant Professor Position in Quantitative Methods (Psychology) at the University of Florida
by Steve Weisberg 26 Sep '23

26 Sep '23

*Full link to job description and application: Apply Now! <https://explore.jobs.ufl.edu/en-us/job/528656/assistant-professor-in-psycho…> <https://secure.dc4.pageuppeople.com/apply/674/gateway/default.aspx?c=apply&…>* The Department of PSYCHOLOGY at the UNIVERSITY OF FLORIDA, College of Liberal Arts and Sciences, invites applications for a full-time, nine-month, tenure-accruing, OPEN-AREA Assistant Professor with special emphasis in QUANTITATIVE METHODS, beginning August 16, 2024. We encourage applications from any research orientation in psychology and the position is open to candidates who employ a wide variety of methodological tools or approaches (including, but not limited to, computational modeling, statistics, artificial intelligence, structural equation modeling, multilevel modeling, network analysis, and longitudinal data analysis). Applicants will be expected to maintain an outstanding program of research with high potential for external funding, teach psychology graduate and undergraduate courses, advise students, and provide service to the institution. The Department of Psychology values interdisciplinary approaches to research and training, and strongly encourages collaboration across its five programs (behavior analysis, behavioral and cognitive neuroscience, counseling, social, and developmental psychology). An ideal candidate would bring methodological expertise that contributes to and enhances the research profile and extramural funding of one or more of these programs. For more information about our department see http://www.psych.ufl.edu and the University of Florida see https://www.ufl.edu. This search is also connected to a campus-wide effort by the University of Florida to expand the role of artificial intelligence in higher education and research (https://ai.ufl.edu) The University is home to HiPerGator, one of the most powerful high-performance computers at a US public university (https://www.rc.ufl.edu/about/hipergator/) A member of the prestigious Association of American Universities (AAU), the University of Florida is the state’s oldest and most comprehensive land-, sea-, and space-grant university, with an enrollment of over 50,000 students. In 2023, the University of Florida was ranked the first and sixth-best public university in the United States by *The Wall Street Journal* and *U.S. News & World Report*, respectively, with exceptional research, teaching, and a university-wide commitment to diversity. For full consideration, applications must be submitted online. Click on Apply Now at the top of this posting. A complete application includes: 1. Cover letter that includes information regarding the candidate’s experience, interest, and expertise in Quantitative Psychology (1-2 pages) 2. Curriculum vitae 3. Statement of research interests and plans (2-3 pages) 4. Statement of teaching experience, interests, and philosophy (1-2 pages) 5. Up to three reprints or pre-prints 6. Contact information for three individuals who have agreed to provide a letter of recommendation (*letters will be requested for shortlisted candidates only*) Review of applications will begin on *October 15, 2023* and will continue until the position is filled. Questions about the position may be directed to Natalie Ebner and Greg Webster, search committee co-chairs at natalie.ebner(a)ufl.edu or gdwebs(a)ufl.edu. -- --------------------------------------------- *Steven M. Weisberg, PhD * Pronouns: he/him/his Assistant Professor of Psychology University of Florida Director: SCANN Lab <http://scannlab.psych.ufl.edu>

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postdoc positions in cognitive control and brain-computer interface (UTSW Neurosurgery)
by Zhongzheng Fu 26 Sep '23

26 Sep '23

Two postdoc positions are available in the laboratory of Zhongzheng Fu in the Department of Neurological Surgery, University of Texas Southwestern Medical Center. We study the neural mechanisms of cognitive control using mathematical modeling and human neurophysiology. We have several ongoing projects in the lab that include probing the network activity underlying cognitive control, the neuronal mechanisms for metacognition in decision making and artificial cognitive control. We aim to develop novel approaches to restore cognitive control in various psychiatric/neurological conditions, develop efficient brain-computer interface and ultimately enhance cognitive control in healthy individuals. Applicants who are intellectually curious and passionate about tackling challenging neuroscience problems using a combination of approaches (behavioral modelling, machine learning, intracranial recordings, neuromodulation, EEG/MEG) are encouraged to apply. Postdoctoral scientist in the lab will conduct cutting-edge research in a protected, interactive, highly collaborative, and well-funded environment, with access to state-of-the-art platforms such as intracranial recordings in various patient populations, EEG/MEG, high-performance computing sources. Qualifications for this position include Ph.D. or M.D. degree(s). Applicants who have excellent coding skills (python, MATLAB, R) and a strong background in statistics, machine learning, deep learning and signal processing are particularly encouraged to apply. Interested applicants should submit the following documents to Zhongzheng.Fu AT UTSouthwestern.edu 1. A Cover Letter describing your interest in this position. 2. A CV listing your education, training background, publications, awards, and skill sets. 3. Contact information for references For more information, please visit our lab website at https://zfu-lab.org. Zhongzheng Fu, Ph.D. Assistant Professor Department of Neurological Surgery, UT Southwestern Medical Center ________________________________ UT Southwestern Medical Center The future of medicine, today.

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Jobs at Flatiron Institute (CCN) and NYU (Center for Neural Science)
by SueYeon Chung 26 Sep '23

26 Sep '23

Dear Colleague, The Neuro-AI and Geometric Data Analysis Lab at NYU and the Flatiron Institute (PI: SueYeon Chung) are seeking postdoc fellows, grad students, and a full-time research assistant. We have multiple positions with flexible start dates. Our lab is situated in the heart of downtown New York City, operating jointly at NYU's Center for Neural Science and the Center for Computational Neuroscience at the Flatiron Institute, a research institution within the Simons Foundation dedicated to computation. The lab is also affiliated with NYU’s Center for Data Science, Minds, Brains and Machines Initiative, CILVR group, and Cognition & Perception Program. Our current research focuses on the following areas, all geared towards analytically and phenomenologically connecting various levels of abstraction and scales in information processing within biological and artificial neural networks: 1. Neural Manifolds as a Population Coding Theory: - Objective: Develop a normative theory of neural population geometry, known as neural manifolds. - Aim: Create an analytical theory that establishes a connection between the structure in high-dimensional neural data and the underlying computational processes. - Toolkits: Statistical physics (*replica method, random matrix theory*), neural network and machine learning (theory & applications), convex optimization, high-dimensional geometry, and statistics. - Applicants with backgrounds in statistical physics, machine learning theory, and theoretical neuroscience are strongly encouraged to apply. 2. Neural Manifolds as a Data Analysis Method: - Objective: Employ the theory and methods of neural manifolds for neural data analysis. - Background: We welcome applicants with backgrounds in neuroscience and cognitive science who are familiar with a wide range of experimental datasets and various model systems. An interest in collaborating with cutting-edge theory subgroups is highly encouraged. 3. Deep Learning Theory for Neuroscience: - Objective: Apply analytical insights from deep learning theory to computational approaches in systems neuroscience. - Toolkits: Statistical physics (replica method, random matrix theory), machine learning theory and applications, high-dimensional statistics. Additionally, we are exploring frontier topics, including the theory of neural manifolds for causality in large language models, the theory of multitasking and cognitive control, and the theory of semantic/categorical hierarchies and knowledge representations. If you are passionate about advancing our understanding of the structure of information in neural systems, we encourage you to apply. We welcome theorists and computational neuroscientists across a range of backgrounds, such as *machine learning* (applications and theory), *theoretical/statistical physics*, *computer science*, *computational and systems neuroscience*, and *cognitive science*. Join us in this exciting journey at the intersection of neuroscience, computation, and theory. If interested, reach out with a CV, a brief description of research interests, and a list of references to sueyeon(a)nyu.edu or schung(a)flatironinstitute.org. (Please note that official job announcements from the Flatiron Institute will be widely circulated in the upcoming weeks, but we are scheduling candidate seminars on a rolling basis.) Best, SueYeon Chung Assistant Professor Center for Neural Science, New York University Center for Computational Neuroscience, Flatiron Institute, Simons Foundation Personal Website: https://sites.google.com/site/sueyeonchung/ Lab Website: http://www.sychunglab.org/

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YOUNG RESARCHER AWARD @ FRCCS 2024
by Hocine Cherifi 25 Sep '23

25 Sep '23

*YOUNG RESARCHER AWARD* <https://iutdijon.u-bourgogne.fr/ccs-france/young-resarcher-award/> *@ **FRCCS 2024* <https://iutdijon.u-bourgogne.fr/ccs-france/> *Submission deadline: April 24, 2023* The Young Researcher Award is part of CSS FRANCE's <https://www.cssfrance.org/> global initiative to support early career researchers in their quest to advance the frontiers of science across a broad range of disciplines. It is in place to recognize early career contributions and leadership in research in Complex Systems related fields. It is awarded to young researchers up to *five years* after the Ph.D. completion (date of Ph.D. defense) and the deadline of the call for nomination. *Eligibility* - Applications for this award are welcomed by academia, business, and government scientists. - Eligible candidates should not be older than 35 years. - There should be no more than five years between the date of the Ph.D. defense and the deadline of the call for nomination. - Self-nominations are accepted and encouraged. - Any young researcher can be nominated in whatever discipline Complex Systems covers. - Candidates must commit to presenting their work at FRCCS if awarded. *Important dates* · Application deadline: *March 04, 2024* · Notification to applicants: *April 02, 2024* *Application Instruction* *For self-nomination* The application package must contain: - A CV of the candidate (maximum two pages) - Research achievement: a letter describing the context and relevance of the achievement, its scientific impact, and why it deserves an award (maximum two pages). - A long-term research project (maximum two pages) *For supporter nomination* - A CV of the candidate (maximum two pages) - Research achievement: a letter describing the context and relevance of the achievement, its scientific impact, and why it deserves an award (maximum two pages). - A statement from the candidate (maximum two pages) reflects their understanding of how the original scientific research moved science forward. *Application Process* Applications are made via a google form: Fill out the self-nomination form <https://docs.google.com/forms/d/e/1FAIpQLSc7JjwOEPF0YYBRHWomS3o-fZ3YXu0a5QU…> or the Supporter nomination form <https://forms.gle/bkVFg9pUvt2f4K1p9> *Note that Google Forms requires you to be signed in to a Google account to upload files and submit your responses. * *Selection Process* FRCCS Award Committee will evaluate all qualified candidates and propose the winner to the Advisory Board of CSS FRANCE, which will make the final decision. *Award Procedure* A prize of 1000 euros is awarded to the winner. The award also covers the registration fee of FRCCS <https://iutdijon.u-bourgogne.fr/ccs-france/> 2024 to facilitate attendance at the conference. The awardee will be recognized and present his (her) work at FRCCS <https://iutdijon.u-bourgogne.fr/ccs-france/> 2024. For more information contact: hocine.cherifi(a)gmail.com Join us at COMPLEX NETWORKS 2023 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science <https://appliednetsci.springeropen.com/> Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

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Bertalanffy Doctoral Student Award
by Hocine Cherifi 25 Sep '23

25 Sep '23

*DOCTORAL STUDENT AWARD* <https://iutdijon.u-bourgogne.fr/ccs-france/doctoral-student-award/> *@ **FRCCS 2024* <https://iutdijon.u-bourgogne.fr/ccs-france/> The Bertalanffy Doctoral Student Award is part of CSS FRANCE's <https://www.cssfrance.org/> global initiative to support early career researchers in their quest to advance the frontiers of science across a broad range of disciplines. It is in place to recognize early career contributions and leadership in research in Complex Systems related fields. It is awarded to young researchers enrolled in a Ph.D. program. This competition consists in presenting your research in simple terms in a five minutes video to a lay audience. Your presentation should be clear, concise, and convincing. *Eligibility* - Eligible candidates must: - Be under 30. - Be enrolled in a Ph.D. program in whatever discipline Complex Systems covers. - Commit to presenting their work at the French Regional Conference on Complex Systems <https://iutdijon.u-bourgogne.fr/ccs-france/> FRCCS <https://iutdijon.u-bourgogne.fr/ccs-france/> if awarded - Accept and authorize the use and distribution of videos and photos related to the competition, including on social networks - Have informed their thesis supervisor of their participation in the competition - Present a sufficiently advanced state of the doctoral research project *Important dates* · Application deadline: *March 04, 2024* · Notification to applicants: *April 02, 2024* *Application Instruction* The application package must contain the following: - A CV of the candidate (maximum two pages) - A summary (maximum two pages) presenting the research work, its context, main contribution, and scientific impact. - A 5 minutes video presentation. *Application Process* Applications are made via a google form on the online portal. <https://docs.google.com/forms/d/e/1FAIpQLSe49vdpumpzjVJJ7_mWgC5zKSLS1AqelD_…> *Note that Google Forms requires you to be signed in to a Google account to upload files and submit your responses. * *Selection Process* FRCCS Award Committee will evaluate all qualified candidates and propose the winner to the Advisory Board of CSS FRANCE, which will make the final decision. *Award Procedure* A prize of 500 euros is awarded to the winner. The award also covers the registration fee of FRCCS <https://iutdijon.u-bourgogne.fr/ccs-france/> 2024 to facilitate attendance at the conference. The awardee will be recognized and present his (her) work at FRCCS <https://iutdijon.u-bourgogne.fr/ccs-france/> 2024. For more information contact: hocine.cherifi(a)gmail.com Join us at COMPLEX NETWORKS 2023 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science <https://appliednetsci.springeropen.com/> Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

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The full schedule for the fourth Canadian Computational Neuroscience Spotlight is now available
by Scott Rich 25 Sep '23

25 Sep '23

Dear Comp-Neuro Listserv, The schedule for the fourth Canadian Computational Neuroscience Spotlight (CCNS), including 40+ talks from trainees, is finalized and available here <https://ccnsmeeting.ca/#04-ccns-2023-program>. Along with these fantastic talks from young scientists, the keynote speakers for the meeting are Drs. Rick Adams, Jeremie Lefebvre, and Sarah Muldoon. The meeting takes place next week, Thursday October 5-Friday October 6. Registration is completely free at https://www.crowdcast.io/c/ccnsv4, and the meeting will be entirely online. Please spread the word to anyone who might be interested in attending! Please don't hesitate to reach out if you have any questions about the meeting, and we look forward to seeing you there. Sincerely, Scott Rich

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2-year postdoc position in social neuroscience
by Bischofberger, Jasper 25 Sep '23

25 Sep '23

2-year 100% postdoc position in social neuroscience at the Julius-Maximilians-Universität Würzburg (JMU) Würzburg, Germany The Translational Social Neuroscience Unit offers a position as a postdoctoral researcher (m/f/x) starting as soon as possible. We study the psychological and neurobiological processes underlying social interactions and decisions. In current studies, we investigate drivers of human social behavior such as empathy, social norms, group membership, and egoism, as well as the social modulation of anxiety and pain processing. We use neuroscientific methods (functional magnetic resonance imaging, electroencephalography) and psychophysiological measures (heart rate, skin conductance), combined with experimental paradigms from cognitive and social psychology and simulations of social interactions in virtual reality. Using smartphone-based surveys and mobile physiological sensors, we study social interactions in everyday life. As part of the Center of Mental Health and the Department of Psychiatry, Psychosomatic and Psychotherapy, we have access to 3T and 7T fMRI research scanners, TMS, EEG, a Virtual-Reality-Labor (CAVE), and to patients with different psychiatric conditions. We cherish a good working atmosphere and work as a team, but you will also be encouraged to develop and strengthen your own research profile. We seek a candidate with a background in psychology, social neuroscience, cognitive neuroscience or cognitive science with a successfully completed PhD. Ideally; you should have experiences with computational modeling (e.g., reinforcement learning models) and the respective software (e.g. MATLAB/ R programming). Experience with the collection and analysis of empirical date (ideally including neuroscience data) and excellent language skills in English and preferably also in German are required. The research topics are subject to the fits between the candidate’s research interests, expertise, and ongoing projects in the research group, particularly the DFG-funded research project on learning and intergroup processes. Based on personal qualification, employees are remunerated according to salary group E 13 TV-L. The position is initially limited until September 30, 2025 with the option for extension. Please contact Grit Hein (Hein_G(a)ukw.de<mailto:Hein_G@ukw.de>) for questions about the position. The University of Würzburg is an inclusive, equal opportunity employer. Individuals with disabilities will be given priority, assuming equal qualifications, and are thus encouraged to apply. The University of Würzburg seeks to increase the number of women in those areas where they are underrepresented and therefore also explicitly encourages women to apply. Please send your applications including a motivation letter, research interests, CV (including publications if applicable), degree certificates and names of 2 referees by October 20th 2023 as a single PDF file to Prof. Dr. Grit Hein (Hein_G(a)ukw.de<mailto:Hein_G@ukw.de>) with [postdoc TransSocNeuro] in the subject line. Bitte beachten Sie die Hinweise des Universitätsklinikums Würzburg zu Datenschutz<https://www.ukw.de/recht/datenschutz/>, Vertraulichkeit<https://www.ukw.de/recht/vertraulichkeit/> und Nachhaltigkeit<https://www.ukw.de/klinikumsleitung-und-verwaltung/stabsstelle-nachhaltigke…>!

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Machine Learning Summer School 2024 in Okinawa: Apply by Sept. 30, 2023
by Kenji Doya 25 Sep '23

25 Sep '23

We are pleased to organize the Machine Learning Summer School 2024 at OIST: https://groups.oist.jp/mlss It will be from March 4th to 15th, and yes, we call it summer in Okinawa. The application deadline is September 30, 2023 (UTC). Please apply from here: https://groups.oist.jp/mlss/application Confirmed speakers: Pierre Alquier, ESSEC Marco Cuturi, ENSAE/Apple Kenji Doya, OIST Yu-Chiang Frank Wang, National Taiwan University/ NVIDIA Kenji Fukumizu, ISM Arthur Gretton, UCL Tatsunori Hashimoto, Stanford University Stefanie Jegelka, MIT Gitta Kutyniok, LMU Taiji Suzuki, University of Tokyo/RIKEN AIP Diyi Yang, Stanford University Amy Zhang, UT Austin Han Zhao, UIUC Target Audience: We aim to select 200 highly motivated participants. Our primary target audience consists of master and PhD students with a strong technical background in machine learning related research topics. A limited number of industry practitioners, professors, researchers, outstanding bachelor's students may also be considered. All participants are expected to have knowledge of programming in Python, a keen interest in machine learning, and familiarity with linear algebra, basic calculus, and basic probability and statistics. MLSS2024 organizers: Makoto Yamada (OIST) Masashi Sugiyama (U. of Tokyo / RIKEN AIP) Kenji Doya (OIST) Inquires: mlss2024(a)oist.jp ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

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Gatsby Unit PhD Programme 2024: Applications now open
by I-Chun 25 Sep '23

25 Sep '23

4-Year PhD Programme in Theoretical Neuroscience and Machine Learning Deadline: 13 November 2023 The Gatsby Computational Neuroscience Unit is a leading research centre focused on theoretical neuroscience and machine learning. We study (un)supervised and reinforcement learning in brains and machines; inference, coding and neural dynamics; Bayesian and kernel methods, and deep learning; with applications to the analysis of perceptual processing and cognition, neural data, signal and image processing, machine vision, network data and nonparametric hypothesis testing. The unit provides a unique opportunity for a critical mass of theoreticians to interact closely with one another and with researchers at the Sainsbury WellcomeCentre for Neural Circuits and Behaviour (SWC), the Centre for Computational Statistics and Machine Learning (CSML) and related UCL departments such as Computer Science; Statistical Science; Artificial Intelligence; the ELLIS Unit at UCL; Neuroscience; and the nearby Alan Turing and Francis Crick Institutes. Our PhD programme provides a rigorous preparation for a research career. Students complete a 4-year PhD in either machine learning or theoretical and computational neuroscience, with minor emphasis in the complementary field. Courses in the first year provide a comprehensive introduction to both fields and systems neuroscience. Students are encouraged to work and interact closely with SWC/CSML researchers to take advantage of this uniquely multidisciplinary research environment. Applicants should have a strong analytical and quantitative background, a keen interest in neuroscience, machine learning or both, and a relevant first degree, for example in Mathematics, Statistics, Computer Science, Engineering, Physics, Neuroscience or Cognitive Psychology. Full funding is available regardless of nationality. The unit also welcomes applicants who have secured or are seeking funding from other sources. Applications should be submitted directly to us via the online portal. For programme details and how to apply, see www.ucl.ac.uk/gatsby/study-and-work/phd-programme -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL

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Postdoc openings in the Savin lab at NYU
by Cristina Savin 22 Sep '23

22 Sep '23

Applications are invited for two postdoctoral positions in the Savin group in the Centre for Neural Science and Center for Data Science at NYU. We have several ongoing projects focused on statistical modeling of population responses during complex behavior, with a focus on latent population dynamics, inter-area interactions, and causal interventions. In particular, in the context of a collaboration with the Angelaki lab, we are working on elucidating mechanisms of dynamic updating of beliefs in foraging tasks, using multi-area recordings in VR and freely moving monkeys. In a separate project, funded by the Brain Initiative, we are developing tools for single trial estimation of patterns of gain modulation, in collaboration with the Coen-Cagli group. These are joint endeavors across the pair of lab, with regular joint meetings and group interactions. More broadly, the postdoc will be part of a large and intellectually vibrant community of researchers from the Center for Neuroscience and the Centre for Data Science at NYU. The successful applicant will have a degree in computational neuroscience or machine learning, excellent coding skills (python) and a track record of successful research. Prior experience in neural data analysis, probabilistic machine learning, or open software development are particularly appreciated. Prior experience in neuroscience is welcome, but not strictly required. Finally, since this is a highly interdisciplinary and collaborative project, good communication skills are important. The initial appointment is one year with the expectation of extension contingent on satisfactory progress. Please submit your application to csavin(a)nyu.edu <mailto:csavin@nyu.edu>, including - CV - a statement of research interests - contact details of three people that are familiar with your work We will be evaluating the applications on a rolling basis until the position is filled. I will be at the Bernstein meeting next week and happy to answer questions. Cristina Savin Assist.Prof. in Neural Science and Data Science NYU

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PhD position - Comp. Neuro. - Navigation using episodic memo
by Vinita Samarasinghe 22 Sep '23

22 Sep '23

*Doctoral Position in Computational Neuroscience* Are you curious about how the human brain stores memories? Have you wondered how we manage to navigate through space? Our dynamic research group uses diverse computational modeling approaches,includingbiological neural networks, cognitive modeling, and machine learning/artificial intelligence, to study learning and memory. Currently, we are actively seeking a *talented graduate student* to join our team, someone who will expand our computationalmodeling framework Cobel-RL (https://doi.org/10.3389/fninf.2023.1134405)and use it to study how episodic memory might be used to learn to navigate.* * *If you are interested in this position and are attending the Bernstein Conference please get in touch directly with Sen Cheng at the conference.*** *Your Profile: * Candidates must * have a mastersdegreein neuroscience, physics, computer science, mathematics, psychology,or a related field * be able to work independently * have experience in mathematical modeling * have excellent programming skills, * have excellent communication skills in English, and * work well in a team. We are committed to providing a supportive work environment for female researchers and those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to meet with them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare will be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. This position is *65% at TV-L E13*, starts as soon as possible and is funded for *3 years*. Please send your application, including CV, transcripts and research statement electronically, as a single PDF file, to samarasinghe(a)ini.rub.de. In addition, at least two academic references mustbe sent independently to the above email address. Deadline remains open until the position is filled. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. Please feel free to get in touch with me if you have any questions. -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email:samarasinghe@ini.rub.de

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6 open rank positions in NeuroInformatics at UIUC
by Vlasov, Yurii A 20 Sep '23

20 Sep '23

[cid:e26cf374-d29e-4fc1-9a41-a62369ce0a1c] Strategic Hiring Initiative: Neuroinformatics Cluster Hire The University of Illinois Urbana-Champaign (UIUC) is announcing a major university-wide Strategic Hiring Initiative to hire six (6) full-time tenure-track faculty positions at all levels (Assistant Professor, Associate Professor, Full Professor) in the area of Neuroinformatics that lies at the critical intersection of computational neuroscience, computer science, and information science with a primary focus on understanding the function of the brain in disease and health. This major institutional investment, which spans across the Grainger College of Engineering and the College of Liberal Arts and Sciences, seeks to expand and complement existing efforts across campus and serve as catalyst to establish UIUC as a center of excellence in understanding the function of the human brain. Additional information on this cluster hire initiative can be found on the website https://publish.illinois.edu/neuro-cluster/ Participating Departments The participating departments are: (1) Computer Science; (2) Electrical and Computer Engineering; (3) Bioengineering; (4) Statistics; (5) Psychology; and (6) Molecular and Integrative Physiology. Areas of Interest We seek applicants with expertise in computer science, biomedical informatics, and computational neuroscience, with primary research interests directed at the development and application of modern artificial intelligence or machine learning analytical tools and techniques for coordinated “big data” analyses of the state-of-the-art neuroscience datasets, such as large-scale electrophysiology, calcium/voltage imaging, multimodal brain imaging, genetic and epigenetic data, and complex behavioral datasets. Eligibility Successful candidates will be part of a large cohort of new faculty contributing to and benefiting from this rich computational systems neuroscience research environment and will have tenure homes in one of the six participating departments. Candidates interested in interactive and trans-disciplinary team research are particularly encouraged to apply. Cross-appointments between different departments are envisioned and encouraged, although each faculty member is expected to have a primary appointment in a single department. Application Instructions To ensure full consideration, candidates should apply to one or more of the six departments. Candidates should include in their application cover letters that they would like to be considered for the cluster hire program, and they should list which other departments they have applied to, if any. For other application materials, candidates should follow the directions in specific position descriptions. Candidates may be contacted if a search committee requires more information. For full consideration, apply by the closing date listed in the specific departmental position descriptions. Early applications are strongly encouraged as interviews may take place during the application periods, but hiring decisions will not be made until after the closing dates. Please contact neuroinformatics(a)illinois.edu with any questions.

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CFP: FLAIRS37, Neural Network and Data Mining Special Track, Miramar Beach, FL, May 18-21, 2024
by David B 20 Sep '23

20 Sep '23

*eural Networks and Data Mining* *Special Track at the **37th International FLAIRS Conference* <https://www.flairs-37.info/home> * Miramar Beach, Florida,** May 18-21, 2024* *Abstract Due Date: January 22 , 2024* *Submission Due Date: January 29 , 2024* *Paper acceptance notification: March 11, 2024 * *Camera ready version : April 8, 2024 * *Call for Papers* The Florida Artificial Intelligence Research Symposium (FLAIRS) is a medium-sized interdisciplinary AI conference which is noted for its double-blind reviewing, free tutorials, and beautiful venues. This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Papers and contributions are encouraged for any work related to neural networks, data mining, or the intersection thereof. Topics of interest may include (but are in no way limited to): Applications such as Pattern Recognition, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Power Systems, Signal Processing; Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cybersecurity, remote sensing, earth sciences, bioinformatics, and astronomy; Neural networks such as new developments in Back Propagation, RBF, SVM, Deep Learning, Ensemble Methods, Kernel Approaches; hybrid approaches such as Neural Networks/Genetic Algorithms, Causal Nets trained with Backpropagation, and Neural Network/Fuzzy Logic ; Acceleration of neural network modeling via software or hardware. Other modeling algorithms such as hidden Markov models, decision trees, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches; graph modeling, pattern discovery, and anomaly detection; feature extraction and selection; post-processing techniques such as visualization, summarization, or trending; preprocessing and data reduction; and knowledge engineering or warehousing. *Submission Guidelines* Submitted papers *must be original*, and not submitted concurrently to a journal or another conference. Double-blind reviewing will be provided, so submitted papers must use fake author names and affiliations. Papers must follow the FLAIRS template guidelines ( https://www.flairs-37.info/call-for-papers) and be submitted as a PDF through the EasyChair <https://easychair.org/conferences/?conf=flairs37> conference system. (Do NOT use a fake name for your EasyChair login; your EasyChair account information is hidden from reviewers.) FLAIRS will not accept any paper which, at the time of submission, is under review for or has already been published or accepted for publication in a journal or another conference. Authors are also required not to submit their papers elsewhere during FLAIRS's review period. These restrictions apply only to journals and conferences, not to workshops and similar specialized presentations with a limited audience and without archival proceedings. Authors will be required to confirm that their submissions conform to these requirements at the time of submission. *Conference Proceedings* Papers will be refereed and all accepted papers will appear in the conference proceedings. *Cochairs:* David Bisant, Central Security Svcs, bisant(a)umbc.edu Steven Gutstein, Booz Allen Hamilton, s.m.gutstein(a)gmail.com Lenin Mookiah, eBay, lenin.world(a)gmail.com *Program committee*: Martin Atzmueller (University of Kassel, Germany) Juan Banda (Montana State University, USA) Lori Bogren (SomaLogic, USA) Chandrashekar Muniyappa (Upgrade Inc, USA) Yoni Fridman (Verizon Business Solutions, USA) Diane Cook (Washington State University, USA) Sergei Dolenko (M.V.Lomonosov Moscow State University, Russian Federation) Olac Fuentes (University of Texas at El Paso, USA) Lawrence Holder (Washington State University, USA) Sheikh Rabiul Islam (University of Hartford, USA) Mike James (iProgrammer, United Kingdom) Jacek Kukluk (Dana-Farber/Harvard Cancer Center, USA) Katrina Kutchko (Verizon Business Solutions, USA) Roberto Santana (University of Basque Country, Spain) Hujun Yin (University of Manchester, UK) Ramesh Paudel (Sysco Corp, USA) Prabin Lamichhane (Tennessee Tech University, USA) Hyoil Han (Illinois State University, USA)

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PhD position: Effects of music on sleep EEG
by Martin Dresler 20 Sep '23

20 Sep '23

Hi, Within the Lullabyte.org consortium, one additional PhD position needs to filled, combining neuroscience, musicology and AI. The project will investigate the effects of generative music on sleep, as measured by wearable sleep EEG. The position will be integrated into the highly collaborative and interdisciplinary European Marie Curie Network Lullabyte.org, working on the intersection of musicology, sleep research, and AI. It will be mostly based at Endel.io in Berlin, with secondments to the Technical University Dresden and the Donders Institute in Nijmegen/NL. Requirements: strong skills in music research and experience in neuroscience, with a master degree or equivalent in one of the following (or related) fields: musicology, music technology, computer music, neuroscience, psychology. Application until 24 September 2023, starting date as soon as possible. Please send your applications including a brief (1-2 pages) motivation letter, CV, and contact information for two references to miriam.akkermann(a)tu-dresden.de Cheers, Martin Donders Sleep & Memory Lab, Radboud University Medical Center Kapittelweg 29, 6525 EN Nijmegen, Netherlands https://dreslerlab.org

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Opening for a postdoc/research associate in theoretical neuroscience at LMU Munich
by Andreas Herz 20 Sep '23

20 Sep '23

The Herz-Lab at LMU Munich has an opening for a postdoc/research associate in theoretical neuroscience. The lab focuses on a range of topics related to the neural basis of spatial navigation. Potential projects include the study of experimental data provided by collaboration partners, computational modeling at the network level, as well as mathematical theory. A solid background in nonlinear dynamics and/or theoretical physics is expected, and a willingness to go off the beaten track is encouraged. We are located on the vibrant Martinsried-Campus of LMU, next to the Max-Planck-Institute for Biological Intelligence (MPI-BI). The Herz-Lab forms part of the Bernstein Center for Computational Neuroscience Munich (BCCN), the Graduate School for Systemic Neuroscience (GSN), and the Munich Center for Neuroscience (MCN). For details, please get in touch with me via [ mailto:herz@bio.lmu.de | herz(a)bio.lmu.de ] or meet me at the 2023 Bernstein Conference in Berlin. Best regards Andreas Herz Further information: Herz-Lab [ http://neuro.bio.lmu.de/research_groups/res-herz_a | neuro.bio.lmu.de/research_groups/res-herz_a ] BCCN [ http://www.bccn-munich.de/ | www.bccn-munich.de ] GSN [ http://www.gsn.uni-muenchen.de/ | www.gsn.uni-muenchen.de ] MCN [ http://www.mcn.uni-muenchen.de/index.html | www.mcn.uni-muenchen.de/index.html ] MPI-BI [ http://www.bi.mpg.de/en | www.bi.mpg.de/en ]

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SNUFA 2023 abstract submission closing soon (deadline Sept 29)
by Friedemann Zenke 20 Sep '23

20 Sep '23

Dear all, For those interested in spiking neural networks, this is a reminder that the SNUFA 2023 submission deadline for contributed talks and posters is closing soon (deadline Sept 29, 2023). SNUFA is an annual online workshop focused on spiking networks as universal function approximators. It brings together computational neuroscience, machine learning, and neuromorphic engineering researchers. Topics include, but not limited to, artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. Invited speakers this year are Rodolphe Sepulchre (KU Leuven and University of Cambridge), Melika Payvand (INI, Zurich), Gabriel Ocker (Boston University), and Jeff Krichmar (UC Irvine). For details, see https://snufa.net/2023/ Hope to see you there. Kind regards on behalf of the organizers, Emre Neftci, Charlotte Frenkel, Dan Goodman, and Friedemann Zenke

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Final call for Mathematics of Neuroscience Conference: 28th Sept - 1st Oct 2023, Old Town, Rhodes, Greece.
by Battleday, Ruairidh 20 Sep '23

20 Sep '23

Fourth International Symposium on the Mathematics of Neuroscience. 28th September - 1st October 2023, Old Town, Rhodes, Greece. —---------------- Final call for general attendance and poster sessions —---------------- One week left before this year’s conference on the mathematics of neuroscience, and last chance to register for general attendance or to present a physical or virtual poster: www.neuromonster.org The line up is looking fantastic, and thank you to everyone that made a submission. Fortunately, flights and accommodation are still reasonably cheap! In this exploratory symposium, we present and discuss general mathematical models of brain function. We give priority to those models that account for brain or behavioural data, or provide simulations to that effect. Keynote Speakers Professor Aapo Hyvärinen (University of Helsinki) Painful intelligence: What AI can tell us about human suffering Professor Janneke Jehee (Donders Institute) Probabilistic representations in the human visual cortex Professor Peter Latham (UCL) What’s the question and how do we answer it? Session Chairs Probabilistic models: Dr Ruairidh McLennan Battleday (Harvard / MIT) Neurotheory: Dr James Whittington (Oxford / Stanford) Biocomputation: Professor Dan V. Nicolau (King’s College London / Oxford) Representational alignment: Dr Ilia Sucholutsky (Princeton) Confirmed Speakers Professor Andrew Adamatzky (UWE) Professor Dan Nicolau Sr (McGill) Professor Bill Thompson (Berkeley) Professor Bradley Love (UCL) Professor Iris Groen (Amsterdam) Professor Volker Tresp (Munich) Professor Daniel Graham (HWS) Professor Marcelo Bertalmío (SNRC) Professor Mayank Kejriwal (USC) Dr Thomas Parr (UCL) Dr Andreea Bobu (MIT) Dr Ilias Rentzeperis (SNRC) Dr Steeve Laquitaine (The Swiss Federal Institute of Technology) Dr. Panagiotis Mougkogiannis (UWE) Dr Jonathan V. Gill (NYU) Dr Tommaso Salvatori (Verses.ai) Dr Charles Cohen (Fidelis.ai) Dr Aslan Satary Dizaji (AutocurriculaLab & Neuro-Inspired Vision) Dr Michael Popov (OMCAN network) Dr Sunder Bukya (University of Hyderabad) Shirin Vafaei (Osaka University) Arvind Saraf (Attention Tag) Shivang Rawat (NYU) Jay Verma (University of Delhi) Declan Campbell (Princeton University) Tyler Giallanza (Princeton University) Carol Upchurch (Louisiana State University) Francesco Guido Rinaldi (SISSA) Hang Li (LMU Munich) Simon Frieder (Oxford) Sabahaddin Taha Solakoglu (Hacettepe University) Hanna Derets (University of Waterloo) Jia Li (KU Leuven) Rahul Jain (Pomona College) The symposium will be held virtually or in-person on the island of Rhodes, Greece from the 28th September - 1st October 2023 (www.neuromonster.org) Submission for poster sessions is by 250-word abstract, emailed to the session chairs at battleday(a)thinkingaboutthinking.org, indicating the desired session. -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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Multiple Tenure-Track Faculty positions at University of Oregon
by Luca Mazzucato 19 Sep '23

19 Sep '23

The University of Oregon is seeking candidates for multiple tenure-track faculty positions at the Assistant Professor level in data science, statistics, and applied math—one in the Math department and two in UO's new Data Science Department. We encourage applications from candidates working in Computational Neuroscience and Artificial Intelligence as well as other data science-related fields, and we particularly welcome applications from candidates from underrepresented backgrounds. UO's vibrant neuroscience community includes our Institute of Neuroscience <https://ion.uoregon.edu/>, the NeuroAI Center <https://ion.uoregon.edu/neuroai>, and the International Network for Bio-Inspired Computing <https://urldefense.com/v3/__https://www.in-bic.org/__;!!C5qS4YX3!EH7D1JvIbA…> . Please circulate the two job advertisements below to any potential applicants at your institution who may be interested. -- *Assistant Professor of Mathematics* https://www.mathjobs.org/jobs/list/22919 <https://urldefense.com/v3/__https://www.mathjobs.org/jobs/list/22919__;!!C5…> The University of Oregon’s Mathematics Department invites applications for a tenure-track Assistant Professor position, to begin in fall 2024. Successful candidates will be working at the interface of mathematics with statistical inference, machine learning, and/or related areas of data science. They will have a record of research excellence, potential for excellent teaching, and a commitment to promoting an inclusive community. While this position will be in the Mathematics Department, we value the ability to interact with other units on campus, including (but not limited to) the School of Computer and Data Sciences, the Department of Biology, the Institute of Neuroscience, and the Knight Campus for Accelerating Academic Impact. We welcome applicants with a wide range of academic backgrounds. Questions about this search can be directed to James Murray (jmurray9 at uoregon dot edu). -- *Assistant Professor of Data Science* https://academicjobsonline.org/ajo/jobs/25568 <https://urldefense.com/v3/__https://academicjobsonline.org/ajo/jobs/25568__…> We enthusiastically invite multiple interdisciplinary researchers to join our newly established Department of Data Science as tenure-track faculty colleagues. We invite applications from researchers working in Data Science, broadly defined, including those working in other domains who contribute to data analysis methodology for that domain (e.g., methods and/or applications of artificial intelligence, machine learning, statistical inference, computational/applied mathematics, data visualization, etc) as well as those whose research focuses directly on the methodology itself (e.g., computer science or statistics). We are building the Data Science department to center justice, diversity, equity, and inclusion (JDEI), in our department's research, teaching, and organization. Strong faculty candidates will therefore have demonstrated impactful contributions to JDEI. We encourage applications from candidates with a history of collaboration with domain experts. Questions about this search can be directed to Luca Mazzucato (lmazzuca at uoregon dot edu).

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Two faculty positions at the University of Miami (Department of Psychology)
by Mingbo Cai 19 Sep '23

19 Sep '23

The Department of Psychology at the University of Miami, a private institution in a diverse and metropolitan city, invites applications for two full-time, tenure-eligible, or tenure-track faculty members to join our department in August 2024. One position is in the department’s Adult Division, and the other is the Cognitive & Behavioral Neuroscience division. *Adult Division - *The specific area is open. Area(s) of focus could include, but are not limited to, basic research on affect, cognitive science, and/or mechanistic studies related to mental health or the impact of disparities. We also welcome outstanding scholars with expertise in one or more of the following methods, including lab-based experimental, neurophysiological, computational, and/or mobile health/digital phenotyping. Individuals with interests in data science, including advanced quantitative techniques, big data, and machine learning are also encouraged to apply. *Cognitive & Behavioral Neuroscience Division - *The specific area is open, but we are particularly interested in individuals who incorporate innovative and sophisticated cognitive, affective, or social neuroscience methods into their research program. Candidates must hold a Ph.D. (non-clinical or clinical) by the appointment start date. Applications will be considered at the rank of Assistant Professor and Associate Professor level. Appointment is expected to start on August 15, 2024. Applications can be submitted via the UM Careers website – Adult Division posting <https://umiami.wd1.myworkdayjobs.com/UMFaculty/job/Coral-Gables-FL/A-S---Ps…> and Cognitive & Behavioral Neuroscience posting <https://umiami.wd1.myworkdayjobs.com/UMFaculty/job/Coral-Gables-FL/A-S---Ps…> . Review of applications will begin on October 1, 2023 and continue until the position is filled. Inquiries, requests for information, and nominations can be sent to the Search Committee Chairs (Adult – Kiara Timpano k.timpano(a)miami.edu; Cognitive & Behavioral Neuroscience – Aaron Heller aheller(a)miami.edu) *------------------------------ * The University of Miami is an Equal Opportunity Employer – Females, Minorities, Protected Veterans, and/or Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here <https://www.hr.miami.edu/careers/eo-ada/index.html> for additional information.

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Postdoctoral positions for CRCNS project on Role of ACh on Memory
by Alex Roxin 19 Sep '23

19 Sep '23

*Call for one experimental and one theoretical postdoctoral position in the framework of a collaborative (US/Spain) CRCNS project on the role of acetylcholine on memory.* The Wang lab at the Max Plack Florida Institute for Neuroscience, and the Computational Neuroscience group at the Centre de Recerca Matemàtica (Barcelona, Spain) are looking for postdoctoral researchers for an experimental-theoretical collaboration to shed light on the role of acetylcholine (ACh) in the formation and long-term dynamics of memory in rodents. This collaborative project will combine large-scale two-photon imaging recordings of in-vivo neuronal and ACh dynamics (Wang lab), with computational modeling and analysis (Roxin group) to investigate the role of ACh in the emergence of internally generated sequences in hippocampal CA1 cells. We will furthermore track the long-term dynamics of the resulting patterns of neuronal activity to characterize the degree of representational drift and elucidate the underlying mechanisms through network modeling. *Call for Experimental Postdoctoral Researcher*: The experimental postdoctoral position will be based at the Max Planck Florida Institute for Neuroscience, in the laboratory of Yingxue Wang.The ideal candidates should have a background in neuroscience or related field, and are interested in understanding the neuronal mechanisms of learning and memory. Previous experience with electrophysiology and/or two-photon imaging in behaving animals, quantitative data analysis and computer programming is highly preferred. Excellent communication skills and the ability to work well in a team are required. The three year project will begin immediately. Max Planck Florida Institute for Neuroscience is part of the Jupiter Neuroscience Research Campus which also includes UF Scripps Biomedical Research and Florida Atlantic University. It provides a flourishing interdisciplinary research environment for neuroscience. We offer outstanding benefits and salary compensation above the NIH scales. Interested candidates are encouraged to contact Yingxue Wang at Yingxue.Wang(a)mpfi.org. *Call for Theoretical Postdoctoral Researcher*: The theoretical postdoctoral position will be based at the Centre de Recerca Matemàtica, located on the campus of the Universitat Autònoma de Barcelona, Bellaterra, Spain. The postdoctoral researcher will combine the analysis of experimental data from the Wang Lab with computational modeling in order to study the physiological and network mechanisms underlying memory formation and representational drift. This work will involve large-scale numerical simulation as well as network analysis using methods from dynamical systems theory and statistical physics. Strong coding and mathematical skills are a must. This is a three-year position which is expected to begin in early 2024. Interested candidates should contact Alex Roxin at alexander.roxin(a)gmail.com. This project is jointly funded by the National Institutes of Health (USA) and the Agencia Estatal de Investigación (Spain) in the framework of Collaborative Research in Computational Neuroscience program (CRCNS). As such, the experimental and theoretical teams will work closely together, including regular online meetings and an annual in-person meeting to be held alternatingly in Florida and Barcelona. The postdoctoral researchers will be expected to work in a collaborative fashion with members of both teams to ensure a unified research effort. -- Alex Roxin Computational Neuroscience Group Centre de Recerca Matemàtica Campus de Bellaterra, Edifici C 08193 Bellaterra (Barcelona) https://sites.google.com/site/alexanderroxin/home

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post-doc position, RL and Comp Neuro, Moreno-Bote and Jonsson Labs
by Ruben Moreno Bote 19 Sep '23

19 Sep '23

*Post-doctoral position* *Reinforcement Learning and Computational Neuroscience, Moreno-Bote and Jonsson Labs* *University Pompeu Fabra, Barcelona, Spain* We are looking for strong post-doctoral candidates interested in joining the group of Theoretical and Cognitive Neuroscience of Ruben Moreno-Bote lab and the group of Artificial Intelligence and Machine Learning of Anders Jonsson. We are looking for excellent post-doctoral candidates with Physics, Mathematics or Machine Learning background. The publication record of the candidate should be very strong in their respective discipline. The candidate will develop state of the art theory and models of RL inspired by computational neuroscience to understand natural behavior based on reward-free approaches. Related papers on the focus of the project are: [2205.10316] Seeking entropy: complex behavior from intrinsic motivation to occupy action-state path space (arxiv.org) <https://arxiv.org/abs/2205.10316> [2302.01098] A general Markov decision process formalism for action-state entropy-regularized reward maximization (arxiv.org) <https://arxiv.org/abs/2302.01098> The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. TCN lab (https://www.upf.edu/web/tcn) forms part of a larger network of neuroscience labs in Barcelona. Financial support is provided by MdM and salary is competitive. APPLICATION: A full CV in pdf format, a 1 page-long project in pdf format, and names and email addresses of 2 referees should be sent to the following address: ruben.moreno(a)upf.edu Informal inquiries are welcome. DEADLINE: until the position is filled STARTING DATE: any time between November 2023 and April 2024 -- Rubén Moreno Bote Serra Húnter Full Professor and ICREA Academia Director of the Theoretical and Cognitive Neuroscience Group Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella c\ Ramon Trias Fargas, 25-27 Mercè Rodoreda building, 3th floor (room 24.331) 08005 Barcelona, Spain https://www.upf.edu/web/tcn https://twitter.com/morenobote <https://twitter.com/morenobote?lang=ca>

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Post-doc in Paris (Benoît Girard, ISIR, Sorbonne Université, Paris)
by Benoît Girard 18 Sep '23

18 Sep '23

A 18-month postdoc position is opened at the Institute of Intelligent Systems and Robotics (ISIR, Sorbonne Université & CNRS). We are looking for a young and enthusiast researcher trained in computational neuroscience or neuro-robotics to develop a computational model of catatonia. It is based on a new theory and preliminary results obtained in the lab (Aubin et al., 2022), dealing with the study of alteration of dynamic regimes observed in models of cortico-baso-thalamo-cortical loops. Results obtained with a population model have to be reproduced and extended with a spiking model, as well as connected to motor control module so as to investigate the motor symptoms of catatonia. The position could start as soon as a candidate is found. The project builds on an ongoing collaboration between Benoît Girard (ISIR, computational neuroscience), David Cohen (ISIR and Pitié-Salpêtrière Hospital, clinical expertise) and Ghilès Mostafaoui (ETIS at Cergy-Pontoise Université, robotics and motor control) Please contact us (benoit.girard(a)isir.upmc.fr, david.cohen(a)aphp.fr, ghiles.mostafaoui(a)u-cergy.fr) for further information. Aubin, L., Batailley, B., Raffin, M., Mostafaoui, G., Cohen, D. and Girard B. (2022) Exploration of the respective roles of cortex and basal ganglia in catatonia with a computational model. Poster presented at FENS2022 and NeuralNet2022. -- Benoît Girard, ISIR, Sorbonne Université/CNRS Pyramide T55/65, CC 173 4 place Jussieu, 75252 Paris Cedex http://people.isir.upmc.fr/girard/ Submit your replications to ReScience: https://rescience.github.io/

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Scientific Computing Associate - Biophysical Modeling - Janelia Farm Research Campus
by Ahmed El Hady 17 Sep '23

17 Sep '23

Dear all, Below an exciting opportunity in Janelia Farm Research Campus to be part of an exciting collaboration if you are into scientific computing, software development and interaction with state of the art biophysics experiments: The Scientific Computing Associate (SCA) <https://www.janelia.org/support-team/scientific-computing-software/scientif…> II position represents an alternative to traditional scientific roles (e.g. postdoc) and provides an ideal environment to establish a career in computational research or software engineering. The position aims at developing qualifications and experience in computational research and professional software engineering in a research environment that enables the candidate to pursue their future career in science or industry. For each project, the SCA will be paired with an experienced software engineer and a member from the specific lab, often the lab head, to quickly learn techniques and about the project itself. The developed software will be openly accessible and the SCA will have the opportunity to become a lead contributor and to potentially publish results. The SCA position is a time-limited appointment for 12 to 24 months, with discretionary renewal for a 12-month term (maximum of 36 months in total). *What We Provide:* * A competitive compensation package, with comprehensive health and welfare benefits. * The opportunity to collaborate with skilled scientists and software engineers and work alongside computational and experimental enthusiasts * The ability to work as an independent scientist * An exciting and inspiring work environment at HHMI Janelia *What You’ll Do:* We are seeking an SCA to join our team at HHMI Janelia to lead a project aimed at /in silico/ biophysical modeling of extracellular ion dynamics in the mammalian brain. Dr. Kayvon Pedram <https://www.pedramlab.com/> will provide mentorship on biochemical aspects of the work; Dr. Ahmed El Hady <https://www.ab.mpg.de/person/111828/2736> will provide mentorship in theoretical neuroscience; and Dr. Stephan Preibisch <https://www.janelia.org/people/stephan-preibisch> and his team will provide mentorship in algorithm development and software engineering. Successful candidates will be interested in exerting intellectual and operational freedom to tackle research objectives at the intersection of these three fields. In brief, neurons convey information through electric pulses, which are generated by rapid ion transport between the cell’s interior and the local extracellular environment. These action potentials propagate from one neuron to the next via chemical synapses, where neurotransmitter-containing vesicles are released into the extracellular space for detection by neighboring neurons. The process of neurotransmitter release itself depends on a rapid, synaptically localized calcium exchange with the extracellular environment. While it is widely understood that transmembrane ion gradients are a crucial aspect of the biophysics that underlies communication within neuronal networks, there is a much more limited understanding of how molecules in the extracellular space, which are heterogenous and actively remodeled throughout the brain, contribute to neuronal communication over a variety of spatial and temporal scales. You will build theoretical frameworks and computational models to explore how extracellular factors, such as ion-ion interactions and mechanical perturbations, influence the diffusion of charged molecules, and subsequently, neuronal excitability. You can expect a close, bidirectional relationship between your theory/modeling efforts and experiments ongoing in the lab and will have the opportunity to test theoretical predictions in the laboratory, if desired. A detailed project description and bibliography will be provided to candidates at the interview stage. *What You Bring:* * M.S. or Ph.D. in Computer Science, Physics, Neuroscience, or related fields (e.g., Biology, Chemistry, Engineering). * Extensive coding experience * Collaborative and collegial attitude toward staff at all levels. For more information and application , please check here:https://hhmi.wd1.myworkdayjobs.com/en-US/External/job/Janelia-Research… <https://hhmi.wd1.myworkdayjobs.com/en-US/External/job/Janelia-Research-Camp…>

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Postdoctoral Position in Deep Learning/Computer Vision with a Focus on 2D Pose Estimation
by Majid Mohajerani 15 Sep '23

15 Sep '23

Position Overview: The Mohajerani lab (https://douglas.research.mcgill.ca/majid-mohajerani/) at McGill University is seeking individuals with expertise and experience in video analysis to fill a postdoctoral position that will span three years, ideally starting in November-December 2023. The Postdoctoral position will be based in the vibrant city of Montreal, offering an exceptional quality of life with its rich cultural diversity, culinary delights, and dynamic arts scene. As part of this role, you will work at McGill University, known for its world-class research and academic excellence, providing an intellectually stimulating and inspiring environment for your career growth. The preferred candidate for this Postdoctoral opportunity should hold a Ph.D. in deep learning, computer vision, engineering, or a related field, along with a distinguished research track record. A solid foundation in machine learning, artificial intelligence, and data mining is essential. Proficiency in programming, analytical problem-solving skills, and strong organizational capabilities are prerequisites. Previous hands-on experience with deep neural networks is obligatory. We are searching for a dedicated researcher who thrives on tackling challenges and possesses expertise and enthusiasm for developing video analysis techniques utilizing deep learning methodologies. The recruited candidate will be responsible for conducting research within the PREMIERE project and for participating in the related Work Package activities. The successful candidate must possess a collaborative spirit, as this role involves cooperation with multiple institutions and investigators. Key qualifications: - Strong expertise in deep learning frameworks (e.g., TensorFlow, PyTorch, or Keras). - Demonstrated expertise in applying Recurrent Neural Networks (RNNs), Transformers for temporal sequence analysis, or hybrid models such as Convolutional-LSTM architectures. - Experience in research and/or development for action recognition, body pose and motion estimation, multi-objects tracking, activity recognition, scene understanding, etc. - Expert knowledge of the principles, algorithms, and tools of deep learning, including models, training strategies, training dataset building, loss functions, quality metrics, etc. - Excellent communication and collaboration skills. How to Apply: If you’re passionate about machine learning and want to work in a dynamic and exciting environment, please apply with your resume and a cover letter describing your relevant experience and why you’re the right fit for this role. We strive to ensure that our team is diverse, equitable, and inclusive. All qualified applicants, including women and members of visible minority groups, are welcome to apply. The application review will start on Oct 15th till the positions are filled. If you meet all the requirements, please fill out the following form. https://docs.google.com/forms/d/e/1FAIpQLSe6jDyhrjyE8nFVSokgn3vWpzEjfLhUi83…

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Tenure track faculty position Cognition and Cognitive Neuroscience Psychology at UMass Amherst
by Tejas Savalia 15 Sep '23

15 Sep '23

Dear all, The Department of Psychological and Brain Sciences at the University of Massachusetts, Amherst (http://www.umass.edu/pbs/) is inviting applications for a tenure track, academic year, faculty position at the Assistant Professor level in its Cognition and Cognitive Neuroscience Psychology program, starting in Fall 2024. We are seeking outstanding applicants with expertise in any area of cognitive psychology or cognitive neuroscience, including interdisciplinary fields connected to cognitive psychology, whose work complements and broadens existing strengths in our program. We are known for interdisciplinary and cross-area collaborations and innovation. The program has current strengths in attention, decision-making, psycholinguistics, and mathematical modeling, with connections to our Behavioral Neuroscience, Clinical Psychology, Developmental Science, and Social Psychology programs. Across the university, our faculty have strong connections to Linguistics, Information and Computer Sciences, and Speech, Language, and Hearing Sciences, as well as the Initiative in Cognitive Science, the Computational and Social Science Institute, the Institute for Diversity Sciences, and the Institute for Applied Life Sciences. The Department is interested in candidates who have demonstrated the ability to contribute to the inclusive excellence and diversity mission of the department, college, and university in research, teaching, and/or outreach. Requirements - Applicants must have a Ph.D. in Cognitive Psychology or a closely related field at the time of appointment. - A developing record of demonstrated excellence in research consistent with an early career stage. - Strong methodological skills and a theoretically-based research program. - Demonstrated ability or strong promise of extramural funding. - A strong commitment to undergraduate education, graduate training and mentoring, and diversity and inclusion. About UMass Amherst UMass Amherst, the Commonwealth's flagship campus, is a nationally ranked public research university offering a full range of undergraduate, graduate and professional degrees. The University sits on nearly 1,450-acres in the scenic Pioneer Valley of Western Massachusetts and offers a rich cultural environment in a bucolic setting close to major urban centers. In addition, the University is part of the Five Colleges (including Amherst College, Hampshire College, Mount Holyoke College, and Smith College), which adds to the intellectual energy of the region. Application Instructions Along with the application, please submit a cover letter, curriculum vitae, statement of research interests, statement of teaching philosophy, statement of contributions and future plans to diversity, equity and inclusion (see below), samples of representative research papers, and contact information for three (3) professional references. We will begin to review applications on October 1, 2023, and will continue to accept applications until the position is filled. Please submit materials online to: http://careers.massachusetts.edu/cw/en-us/job/520191?lApplicationSubSourceI… As part of our commitment to supporting our multicultural community, we seek an individual with a demonstrated commitment to diversity and one who will understand and embrace university initiatives and aspirations. The statement of contributions to diversity, equity, and inclusion should identify past experiences and future goals. These contributions may result from lived experiences, scholarships, and/or mentoring, teaching, and outreach activities. (https://www.cns.umass.edu/diversity-equity-inclusion) The University is committed to active recruitment of a diverse faculty and student body. The University of Massachusetts is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected veterans, and individuals with disabilities and encourages applications from these and other protected group members. Because broad diversity is essential to an inclusive climate and critical to the University’s goals of achieving excellence in all areas, we will holistically assess the many qualifications of each applicant and favorably consider an individual’s record working with students and colleagues with broadly diverse perspectives, experiences, and backgrounds in educational, research or other work activities. We will also favorably consider experience overcoming or helping others overcome barriers to an academic career and degree. Best, Tejas Savalia

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Fwd: CFP: UniReps Workshop on Unifying Representations in Neural Models, NeurIPS 2023, DEADLINE 04 Oct
by Clementine Domine 15 Sep '23

15 Sep '23

We are thrilled to announce the first edition of the UniReps Workshop on Unifying Representations in Neural Models <https://unireps.org/>! To be held on Dec 15, 2023 at NeurIPS 2023 <https://nips.cc/>, New Orleans, USA. Our workshop aims to explore the emergence of similar representations from diverse neural models, both artificial and biological, when exposed to similar stimuli. We will investigate this phenomenon's reasons, conditions, and methods and explore the potential for unifying these representations into a shared framework. Additionally, we will delve into exciting applications such as model merging, stitching, and reusing independently trained modules. Our primary objective is to foster collaboration and idea exchange among Machine Learning, Neuroscience, and Cognitive Science researchers. We aim to create a platform for interdisciplinary discussions and collaborations by bringing together experts from diverse backgrounds. *Check our Call For Papers <https://unireps.org/call-for-papers/> below. * *For any additional information check our website <https://unireps.org/>, Twitter profile <https://twitter.com/unireps>, Slack workspace <https://join.slack.com/t/unirepsunifyi-stf5976/shared_invite/zt-22vr60uon-G…>, or contact us at unireps.organizers(a)gmail.com <unireps.organizers(a)gmail.com>.* Call For Papers Neural models, whether in biological or artificial systems, tend to learn similar representations when exposed to similar stimuli. This phenomenon has been observed in various scenarios, e.g., when individuals are exposed to the same stimulus or in different initializations of the same neural architecture. Similar representations occur in settings where data is acquired from multiple modalities (e.g., text and image representations of the same entity) or when observations in a single modality are acquired under different conditions (e.g., multiview learning). The emergence of these similar representations has sparked interest in the fields of Neuroscience, Artificial Intelligence, and Cognitive Science. This workshop aims to get a unified view on this topic and facilitate the exchange of ideas and insights across these fields, focusing on three key points: When: Understanding the patterns by which these similarities emerge in different neural models and developing methods to measure them. Why: Investigating the underlying causes of these similarities in neural representations, considering both artificial and biological models. What for: Exploring and showcasing applications in modular deep learning, including model merging, reuse, stitching, efficient strategies for fine-tuning, and knowledge transfer between models and across modalities. Topics A non-exhaustive list of the preferred topics includes: - Model merging, stitching, and reuse - Representational alignment - Identifiability in neural models - Symmetry and equivariance in NNs - Learning dynamics - Disentangled representations - Multiview representation learning - Representation similarity analysis - Linear mode connectivity - Similarity-based learning - Multimodal learning - Similarity measures in NNs Important Dates - Paper submission deadline: Oct 04, 2023 – Submit on OpenReview <https://openreview.net/group?id=NeurIPS.cc/2023/Workshop/UniReps> - Final decisions to authors: Oct 27, 2023 Tracks Submissions to the workshop are organized in two tracks, both requiring novel and unpublished results: an Extended abstract track, which will address early-stage results, insightful negative findings, opinion pieces, and a Proceedings track, which will address complete papers to be published in a dedicated workshop proceedings volume. Both tracks will be included in the workshop poster session to give an opportunity to authors to present their work, and a subset of the submissions will be selected for a spotlight talk session during the workshop. Paper FormatThe full paper submissions must be at most 9 pages long (excluding references and supplementary materials) and anonymized. We will follow the Neurips general conference submission criteria for papers - for details please see: NeurIPS Call For Papers <https://nips.cc/Conferences/2023/CallForPapers>. As a note, the reviewers will not be required to review the supplementary materials, so ensure your paper is self-contained. For the extended non-archival abstracts please use the same template but limit the submission to 4 pages, excluding references. The submission site will have an option to differentiate full papers and extended abstracts. Please make sure to use the NeurIPS LaTeX template <https://media.neurips.cc/Conferences/NeurIPS2023/Styles/neurips_2023.tex> and style file <https://media.neurips.cc/Conferences/NeurIPS2023/Styles/neurips_2023.sty>.

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Postdoc on Dravet syndrome modeling (Inria, BCAM, Achucarro)
by desroche 15 Sep '23

15 Sep '23

Dear all, We have funds for a two-year postdoc on Dravet syndrome modeling. This is part of an international collaboration between Inria (Bordeaux, Montpellier, Sophia Antipolis, France) and BCAM - the Basque Center for Applied Mathematics (Bilbao, Spain), involving Fabien Campillo, Pierre Del Moral, Mathieu Desroches and Serafim Rodrigues. The postdoc will be based at Inria, in Montpellier. The aim of the project is to develop a multiscale model of Dravet syndrome, from ionic channels of interacting neurons to large neural populations. We will use various modeling frameworks, adapted to the scale, from piecewise-deterministic Markov processes to mean-field formalism. The postdoc will perform a mathematical analysis of the models, extensive numerical simulations as well as data analysis using neural recordings from our experimental partners. Regarding profiles that we are seeking, familiarity of the candidate with mathematical modeling in Neuroscience and Markov processes. Ability and willingness to do programming, as well as analyse experimental data, will also be a strong point to select candidates. Please apply online via the following page: https://jobs.inria.fr/public/classic/en/offres/2023-06688 Best, Mathieu Desroches. --------------------------------------------------------------------- Dr. Mathieu Desroches Research Director (Directeur de Recherche) MathNeuro <https://team.inria.fr/mathneuro/> Project Team Leader Centre Inria d'Université Côte d'Azur, France https://www-sop.inria.fr/members/Mathieu.Desroches/

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Scientific Computing Associate - Biophysical Modeling - Janelia Farm Research Campus
by Ahmed El Hady 15 Sep '23

15 Sep '23

Below an exciting opportunity in Janelia Farm Research Campus to be part of an exciting collaboration if you are into scientific computing, software development and interaction with state of the art biophysics experiments: The Scientific Computing Associate (SCA) <https://www.janelia.org/support-team/scientific-computing-software/scientif…> II position represents an alternative to traditional scientific roles (e.g. postdoc) and provides an ideal environment to establish a career in computational research or software engineering. The position aims at developing qualifications and experience in computational research and professional software engineering in a research environment that enables the candidate to pursue their future career in science or industry. For each project, the SCA will be paired with an experienced software engineer and a member from the specific lab, often the lab head, to quickly learn techniques and about the project itself. The developed software will be openly accessible and the SCA will have the opportunity to become a lead contributor and to potentially publish results. The SCA position is a time-limited appointment for 12 to 24 months, with discretionary renewal for a 12-month term (maximum of 36 months in total). *What We Provide:* * A competitive compensation package, with comprehensive health and welfare benefits. * The opportunity to collaborate with skilled scientists and software engineers and work alongside computational and experimental enthusiasts * The ability to work as an independent scientist * An exciting and inspiring work environment at HHMI Janelia *What You’ll Do:* We are seeking an SCA to join our team at HHMI Janelia to lead a project aimed at /in silico/ biophysical modeling of extracellular ion dynamics in the mammalian brain. Dr. Kayvon Pedram <https://www.pedramlab.com/> will provide mentorship on biochemical aspects of the work; Dr. Ahmed El Hady <https://www.ab.mpg.de/person/111828/2736> will provide mentorship in theoretical neuroscience; and Dr. Stephan Preibisch <https://www.janelia.org/people/stephan-preibisch> and his team will provide mentorship in algorithm development and software engineering. Successful candidates will be interested in exerting intellectual and operational freedom to tackle research objectives at the intersection of these three fields. In brief, neurons convey information through electric pulses, which are generated by rapid ion transport between the cell’s interior and the local extracellular environment. These action potentials propagate from one neuron to the next via chemical synapses, where neurotransmitter-containing vesicles are released into the extracellular space for detection by neighboring neurons. The process of neurotransmitter release itself depends on a rapid, synaptically localized calcium exchange with the extracellular environment. While it is widely understood that transmembrane ion gradients are a crucial aspect of the biophysics that underlies communication within neuronal networks, there is a much more limited understanding of how molecules in the extracellular space, which are heterogenous and actively remodeled throughout the brain, contribute to neuronal communication over a variety of spatial and temporal scales. You will build theoretical frameworks and computational models to explore how extracellular factors, such as ion-ion interactions and mechanical perturbations, influence the diffusion of charged molecules, and subsequently, neuronal excitability. You can expect a close, bidirectional relationship between your theory/modeling efforts and experiments ongoing in the lab and will have the opportunity to test theoretical predictions in the laboratory, if desired. A detailed project description and bibliography will be provided to candidates at the interview stage. *What You Bring:* * M.S. or Ph.D. in Computer Science, Physics, Neuroscience, or related fields (e.g., Biology, Chemistry, Engineering). * Extensive coding experience * Collaborative and collegial attitude toward staff at all levels. For more information and application , please check here: https://hhmi.wd1.myworkdayjobs.com/en-US/External/job/Janelia-Research-Camp…

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Postdoc in Barcelona
by Quian Quiroga, Rodrigo (Prof.) 14 Sep '23

14 Sep '23

We are looking for a postdoc to study single cell recordings in humans, performed in epileptic patients for curative surgery. The position will be in the recently established group of Prof. Quian Quiroga at the Hospital del Mar Research Institute, in Barcelona (https://www.imim.es<https://www.imim.es/>). The project will investigate concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons in the hippocampus and surrounding areas that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga, Cell 2019), which are involved in declarative memory functions. For more details see: https://web.archive.org/web/20220108024112/https://www2.le.ac.uk/centres/cs…<https://web.archive.org/web/20220108024112/https:/www2.le.ac.uk/centres/csn…> The successful candidate will contribute to performing recordings with patients and the analysis / modelling of the data to investigate the role of these neurons in memory. The candidate should have very good quantitative skills (data processing and programing, e.g. in Matlab) and a strong background or interest in neuroscience. Informal enquiries are welcome and should be made to Prof. Rodrigo Quian Quiroga (rquian(a)imim.es) To apply see instructions in this link: https://www.imim.es/ofertes/es_detall-oferta-temporals.html?id=2343 Review of applications will start on the 2nd October 2023, and will continue until the position is filled. Best, Rodrigo Quian Quiroga

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1st EBRAINS National Node Germany Workshop ***26.09.2023 in Berlin, Germany***
by Frings, Maren 14 Sep '23

14 Sep '23

Dear Colleagues, We would like to kindly invite you to participate the 1st EBRAINS National Node Germany Workshop which will take place on September 26, 2023 in Berlin from 09:00-13:30 CET. Guest Speakers: Dr. Seán Froudist-Walsh, University of Bristol Prof. Dr. Thomas Wachtler, Ludwig-Maximilians-University Munich Prof. Dr. Lena Oden, FernUni Hagen & FZ Jülich Prof. Dr. Bryan Strange, Technical University Madrid Dr. Andreas Rowald, Friedrich Alexander University Erlangen-Nürnberg Prof. Dr. Petra Ritter, Charité Universitätsmedizin Berlin Prof. Dr. Thanos Manos, Cergy Paris University For further details and for registration please browse to our <https://flagship.kip.uni-heidelberg.de/jss/HBPm?m=SgD&mI=254> event website. The EBRAINS National Node Germany (NNG) invites to the 1st EBRAINS NNG Workshop as a back-to-back event of the Bernstein Conference 2023 in Berlin, Germany. You will hear about the EBRAINS RI, its usage, an Expert Discussion on Digital tools to bridge the gap between experimental and computational neuroscience and will have the opportunity to network during our NNG lunch. <https://ebrains.eu> EBRAINS is a unique digital Research Infrastructure (RI), created by the EU-funded Human Brain Project. It is an open platform providing an extensive range of data and tools to enhance brain-related research. EBRAINS is a pan-European distributed network of services, that will in the future be organized through National Nodes. The <https://www.ebrains.eu/national-nodes/germany> EBRAINS NNG currently encompasses about 40 universities and research institutions across Germany joining forces to develop a common scientific and technical strategy, addressing the major scientific challenges of our time. The EBRAINS NNG partners offer unique services, including science liaison activities, for basic neuroscience, medical applications, and industry in the fields of: * High-Performance Computing * Neuromorphic Computing * Artificial Intelligence * Simulation * Robotics * Information privacy and security Programme Committee: Nicola Palomero-Gallagher, Petra Ritter, Fabrice Morin, Francesca Cavallaro, Björn Kindler, Sandra Diaz, Maren Frings. In case of further questions please dont hesitate to contact ebrains-nng(a)fz-juelich.de <mailto:ebrains-nng@fz-juelich.de> Kind regards Maren Frings on behalf of the Programme Committee Dr. Maren Frings Project Manager, EBRAINS National Node Germany Jülich Supercomputing Centre Institute for Advanced Simulation Tel +49 2461 61-6431 Fax +49 2461 61-6656 <http://www.fz-juelich.de/ias/jsc> www.fz-juelich.de/ias/jsc ------------------------------------------------------------------- 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.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens, Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior -------------------------------------------------------------------

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[jobs] 3.5-year PhD Scholarship in Human-like performance in neuromorphic robots
by Di Nuovo, Alessandro 14 Sep '23

14 Sep '23

All applications must be submitted using the online application form<https://www.findaphd.com/common/clickCount.aspx?theid=160616&type=184&DID=6…>. To apply, click here<https://www.findaphd.com/common/clickCount.aspx?theid=160616&type=184&DID=6…> For information on how to apply please visit https://www.shu.ac.uk/research/degrees<https://www.findaphd.com/common/clickCount.aspx?theid=160616&type=184&DID=6…> About the Project This scholarship is to support the Horizon Europe project PRIMI: Performance in Human Robot Interaction via Mental Imagery, led by Professor Alessandro Di Nuovo (scientific coordinator). The project aims to create the next-gen humanoid robots with efficient computation, high cognition, and autonomy, by synergistically combining interdisciplinary research development in neurophysiology, psychology, machine intelligence, cognitive mechatronics, neuromorphic engineering, and humanoid robotics. The PRIMI project seeks to create more capable interactive robots with advanced abilities, able to provide innovative and personalised services. Prototypes will be used in stroke rehabilitation studies. You will join the Smart Interactive Technologies (SIT) research laboratory; a vibrant interdisciplinary group, led by Prof. Alessandro Di Nuovo, that conducts world-leading research on Artificial Intelligence and Robotics. The group is currently running several research projects worth over £2.5 million funding from the European Commission and UKRI. This PhD project will focus on machine intelligence techniques and neuromorphic computing technologies to create active inference models for interactive learning in robots with human-like performance. Background Humans can learn faster with less data by reducing surprise or uncertainty by making predictions based on internal models. Indeed, neurophysiology and developmental psychology increasingly highlight the embodied nature of intelligence, which is shaped the experiences acquired through the body, such as manipulatives, gestures, and movements. To overcome the current limitations, the research methodology will adopt the developmental neuromorphic approach with cognitive agents that are embodied in humanoid robotic platforms. Developmental robotics fundamentally differs from traditional machine learning as it targets task-independent self-determined learning via interaction with the environment rather than task-specific inference over selected, human-edited sensory data. It also differs from traditional cognitive robotics because it focuses on the processes that allow the formation of cognitive capabilities rather than these capabilities themselves. Neuromorphic computing investigates large-scale processing systems that support natural neuronal computations through spike-driven communication to imitate the efficient neuro-synaptic framework of the physical brain. Compared to traditional approaches, key advantages of neuromorphic computing are energy efficiency, execution speed and robustness against local failures. Eligibility Candidates should have (or expect to obtain before the start of the PhD) a minimum of an upper second-class honours degree (2.1) or equivalent in Computer Science, Neuroscience, or a closely related subject. To be eligible for a waiver of the international fees, candidates should have a strong Master's degree and/or scientific publications on the subject of the research project. For further details on entry requirements, please click here<https://www.findaphd.com/common/clickCount.aspx?theid=160616&type=184&DID=6…> How to apply All applications must be submitted using the online application form<https://www.findaphd.com/common/clickCount.aspx?theid=160616&type=184&DID=6…>. To apply, click here<https://www.findaphd.com/common/clickCount.aspx?theid=160616&type=184&DID=6…>. We strongly recommend you contact the lead academic, Prof. Alessandro Di Nuovo, a.dinuovo(a)shu.ac.uk<javascript:void(0)>, to discuss your application. Start date for studentship: February 2024 Interviews are scheduled for: TBC

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looking for a postdoc on modeling / optimization of brain stimulation
by Dana Brooks 14 Sep '23

14 Sep '23

Postdoctoral Research Fellow at UMass Boston A postdoctoral fellow position is available in the Brain Stimulation & Simulation Lab <https://www1.coe.neu.edu/%7Erampersad/index.html>, directed by Dr. Sumientra Rampersad, in the Department of Physics at the University of Massachusetts Boston. Our lab focuses on investigating electromagnetic brain stimulation through computational methods and experiments with healthy volunteers. This position is funded by a newly awarded 5-year NIH R01 <https://reporter.nih.gov/project-details/10719222> grant with the goal to investigate a novel form of brain stimulation called transcranial temporal interference stimulation (TIS) and to optimize and translate it into an effective and efficient neuromodulation method for academic research and clinical practice. The fellow will develop novel optimization methods for high-density TIS and supervise a PhD student who will conduct simulations and optimizations using finite element modeling. The goal is to provide noninvasive and spatially specific treatment options to patients with brain disorders resistant to existing approaches. You will join a multidisciplinary team with expertise in computational modeling and optimization, human and primate electrophysiology, cellular and systems neuroscience, and biomedical engineering. You will also have the opportunity to work on other cutting-edge projects involving several brain stimulation methods including tCS, TMS, ECoG, sEEG and TTF (see lab website <https://www1.coe.neu.edu/%7Erampersad/index.html> for examples). Our collaborators at Northeastern University, the University of Utah, Harvard University, MGH, and the University of Washington, provide us access to specialized software and unique clinical data. The fellow will be mentored by Dr. Rampersad (UMass Boston) and Dr. Dana Brooks (Northeastern). This is an outstanding career development opportunity to work with leaders in the field of brain stimulation with an exceptional record of collaboration and mentoring. Required qualifications include a PhD in physics, math, electrical, biomedical engineering, or equivalent, expertise in either brain stimulation modeling or computational optimization methods (preferred both), a track record of conference presentations and peer-reviewed publications, strong verbal and written communication skills, and proficiency in Matlab or Python. This is a one-year appointment with the possibility of extension provided satisfactory progress is made. To apply, send a cover letter and CV to Dr. Rampersad (sumientra.rampersad(a)umb.edu) with the subject “TIS postdoc”. Please describe in detail your experience with optimization, brain stimulation, FEM, coding, project management, and mentoring students.

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Faculty postion at Harvard bridging computational neuroscience and AI
by Blum, Kenneth I. 13 Sep '23

13 Sep '23

The Center for Brain Science (CBS) and Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University seek a tenure-track faculty member working across the fields of computational neuroscience and a machine learning approach to AI. Please forward this information to any interested candidates. Applications should be submitted to this site: https://academicpositions.harvard.edu/postings/12751. ***** HARVARD UNIVERSITY CENTER FOR BRAIN SCIENCE and KEMPNER INSTITUTE FACULTY POSITION The Center for Brain Science (CBS) and Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University seek a tenure-track faculty member to lead an innovative research program working across the fields of Computational Neuroscience and Machine Learning to discover how brain computation can benefit artificial systems and how principles of computation and learning in artificial systems can be used to understand the brain. Current faculty use a variety of approaches to learn how brains compute and govern cognition and behavior. The successful candidate will be appointed an Institute Investigator within the Kempner Institute and will hold an academic appointment in an appropriate department in the life or physical sciences in the Faculty of Arts and Sciences at Harvard University. A full list of potential departments can be found here: science.fas.harvard.edu/pages/about<https://science.fas.harvard.edu/pages/about>. CBS (cbs.fas.harvard.edu<https://cbs.fas.harvard.edu/>) fosters interactions across disciplinary boundaries—faculty from several academic departments have neighboring labs and share common research facilities and meeting space; its connections also reach out across the University. The Kempner Institute (harvard.edu/kempner-institute<https://www.harvard.edu/kempner-institute/>) is building a community of scholars, who work across boundaries and fields to advance our understanding of intelligence, broadly speaking. Investigators will join a dynamic community of researchers to study intelligence from biological, cognitive, engineering, and computational perspectives. A doctoral degree in the life and physical sciences, or a related discipline is required by the time the appointment begins. Candidates should have demonstrated excellence in both research and teaching. A strong doctoral record is required and postdoctoral experience preferred. Teaching will include offerings at both undergraduate and graduate levels. To apply, please use this link to submit a cover letter; curriculum vitae; three-page research statement; statement of teaching and advising philosophy; statement describing efforts to encourage diversity, inclusion, and belonging, including past, current, and anticipated future contributions in these areas; and up to three publications: https://academicpositions.harvard.edu/postings/12751. Please also submit contact information, including email addresses, for 3-5 people who will be asked by a system-generated email to upload a letter of recommendation once the candidate’s application has been submitted. Three letters of recommendation are required, and the application is considered complete only when at least three letters have been received. At least one letter must come from someone who has not served as the candidate’s undergraduate, graduate, or postdoctoral advisor. We will begin considering applications as they are received, but all materials, including letters of reference, should be submitted by October 15, 2023. Note that there are three additional faculty searches ongoing currently with the Kempner Institute at Harvard University. One is in partnership with Psychology, another with Computer Science, and a third with Applied Mathematics. If applying to more than one, please read the search criteria carefully. The health of our workforce is a priority for Harvard University. With that in mind, we strongly encourage all employees to be up to date on CDC-recommended vaccines. We strongly welcome applications from persons from underrepresented groups. Harvard University is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status.

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Open faculty position in "cognition" at the University of Rochester
by Jacobs, Robert 13 Sep '23

13 Sep '23

See the job ad below for an open faculty position in "cognition" at the University of Rochester. People interested in computational modeling are strongly encouraged to apply. Tenure-track Assistant Professor in Human or Animal Cognition The University of Rochester’s Department of Brain and Cognitive Sciences seeks to hire an outstanding early-career candidate in the area of Animal or Human Cognition. Appointment will be at the tenure-track Assistant Professor level. We particularly welcome applications from candidates researching cognition through non-invasive behavioral, computational or neuroimaging methods. Animal researchers may be either field or laboratory based. Areas of study may center on any aspect of cognition, with an emphasis on higher-level cognitive processes such as decision-making, learning and memory, concepts, communication and language, reasoning, metacognition, and collective cognition. Successful candidates will develop a research program that establishes novel collaborations within the department and across the university, and will also be part of a university–wide community engaged in graduate and undergraduate education. The University of Rochester is a distinguished research university, and the Department of Brain and Cognitive Sciences is a dynamic department with interests in the study of perception, motor control, learning, cognition, language, and development through combined neurobiological, computational, and behavioral research (http://www.bcs.rochester.edu/<http://www.bcs.rochester.edu/index.html>). It offers outstanding opportunities for developing a research program, highly ranked doctoral programs, a vibrant undergraduate major, and a collaborative environment. There is excellent collaboration among faculty across areas, and close ties to other groups in the University, particularly the Center for Visual Science, Neuroscience, Psychology, Education, Psychiatry, the Center for Language Sciences, Computer Science, Data Science, the Eastman School of Music, and Biology. The city of Rochester, NY is a diverse, energetic, and family-friendly community located on Lake Ontario adjacent to the Finger Lakes region with a metropolitan population of 1+ million. Rochester also boasts a thriving arts and music culture, substantial employment opportunities in various sectors, affordable housing, a rich history of social justice, and easy access to urban, suburban, and rural neighborhoods. Candidates should hold a PhD degree (or equivalent) in cognitive science, comparative cognition, psychology, neuroscience, or another relevant domain, and should have considerable research experience. Applicants should submit a CV, a statement of research and teaching interests, a statement of commitment to advancing equity and fostering an inclusive and diverse community, including past work and future goals, and contact information of three referees via the following website: https://www.rochester.edu/faculty-recruiting/positions/show/16192 . Questions concerning this position can be addressed to Prof. Dora Biro (dbiro(a)ur.rochester.edu<mailto:dbiro@ur.rochester.edu>), chair of the search committee, or Prof, Duje Tadin (dtadin(a)ur.rochester.edu<mailto:dtadin@ur.rochester.edu>), chair of the Department of Brain and Cognitive Sciences. Review of applications will begin on November 6, 2023 and continue until the position is filled. The University of Rochester is an Equal Opportunity Employer with a strong commitment to diversity, and actively encourages applications from candidates from groups underrepresented in higher education. Salary: $105,000 – $110,000 (9 month salary) The referenced pay range represents the full base range of pay for this job. Individual salaries will be determined within the job’s salary range and established based on market data, experience and expertise of the individual, and internal equity considerations. EOE / Minorities / Females / Protected Veterans / Disabled

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2 x Postdoctoral research fellowships Horizon Europe project PRIMI
by Di Nuovo, Alessandro 13 Sep '23

13 Sep '23

Sheffield Hallam University is advertising two positions to work on the Horizon Europe project PRIMI: Performance in Human Robot Interaction via Mental Imagery<https://cordis.europa.eu/project/id/101120727>, led by Professor Alessandro Di Nuovo (scientific coordinator). The project aims to create the next-gen humanoid robots with efficient computation, high cognition and autonomy, by synergistically combining interdisciplinary research development in neurophysiology, psychology, machine intelligence, cognitive mechatronics, neuromorphic engineering, and humanoid robotics. The PRIMI project seeks to create more capable interactive robots with advanced abilities, able to provide innovative and personalised services. Prototypes will be used in stroke rehabilitation studies. SHU unit will focus on machine intelligence techniques and neuromorphic computing technologies to create active inference models for interactive learning in robots with human-like performance. You will also join the Smart Interactive Technologies (SIT) research laboratory; a vibrant interdisciplinary group, led by Prof. Alessandro Di Nuovo, that conducts world-leading research on Artificial Intelligence and Robotics. The group is currently running several research projects worth over £2.5 million funding from the European Commission and UKRI. As a Senior Research Fellow, https://bit.ly/SnrResFellMachIntell, you are expected to work alongside the scientific coordinator of the PRIMI project, Prof. Di Nuovo, and support him in the high-level management of the project activities. It will also be your responsibility to carry out independent research as required by the project and provide leadership and support to the other staff, along with the supervision of a PhD student's research on the topics of the PRIMI project. It will be your responsibility to guarantee the delivery of research objectives, including the day-to-day management and implementation of the research tasks, e.g. design and carry-out neuro-robotic experiments, assist with data collection and perform both quantitative and qualitative analysis, develop and maintain open-source software, prepare high-quality scientific outputs, and present and organise at international events. As a Research Fellow https://bit.ly/ResFellNeuroRobot, you will carry out independent research as required by the project, provide leadership, and support the supervision of a PhD student researching on the topics of the PRIMI project. Under the mentorship of Prof. Di Nuovo, the research fellow will guarantee the delivery of the research objectives, including the day-to-day management and implementation of the research tasks, e.g. design and carry out neuro-robotic experiments, assist with data collection and perform both quantitative and qualitative analysis, develop and maintain open-source software, prepare high-quality scientific outputs, present and organise at international events. Please read the job information pack in the links above, which includes the full job description and person specification, available on our website for more details: https://www.shu.ac.uk/jobs/apply-for-jobs Alessandro Di Nuovo, PhD Professor of Machine Intelligence Leader of Technological and Digital Innovations, Advanced Wellbeing Research Centre College of Business, Technology and Engineering Sheffield Hallam University, United Kingdom Email: a.dinuovo(a)shu.ac.uk<mailto:a.dinuovo@shu.ac.uk>

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2 year Post Doc position @University of Padova - LIPh group - Dr. Michele Allegra
by Samir Suweis 13 Sep '23

13 Sep '23

We are looking for a strongly motivated young scholar for a two-year Post-doctoral position at the Physics Department, University of Padova within the LIPh Lab https://www.liphlab.com/. The post-doc will work with Dr. Michele Allegra, but also in close contact with Prof. Dal Maschio’s Lab (Department of Biomedical Sciences, Unipd) and in collaboration with Dr. Pietro Rotondo (Department of Mathematical, Physical and Information Sciences, University of Parma). The post-doc will combine data analysis and modeling to investigate low-dimensional manifolds in neural activity, comparing real data from zebrafish and computational models based on artificial neural networks (a more detailed description of the project is provided below). The position will be fully funded by the National Interest Research Project (PRIN) “Unveiling the role of low dimensional activity manifolds in biological and artificial neural networks”, which also includes funding for traveling. Candidates should have a PhD in Physics, Computational Neuroscience or a related subject. Advanced computational skills (including solid experience with Matlab or Python programming) and data analysis experience are mandatory. Previous experience with neural data is highly welcome. Starting date: as soon as possible. For further info: Michele Allegra <michele.allegra(a)unipd.it> ***************** Samir Suweis www.liphlab.com Tel: +39 049 827 71 74

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post-doc position offer on computational analysis of neuroimaging data
by GILSON Matthieu 13 Sep '23

13 Sep '23

URL REFERENCE: https://matthieugilson.eu/positions/Post-Doc_neuroimaging_biomarkers.html JOB TITLE Post-doctorate position to study diagnosis of multimodal neuroimaging data for amyotrophic lateral sclerosis RESEARCH FIELDS Data Science, Neuroimaging, Neurology, Computational Neuroscience PROJECT DESCRIPTION The project aims to develop and test prediction tools for clinical diagnosis from neuroimaging data, with pipelines covering data preprocessing and machine-learning representational techniques. The focus is on amyotrophic lateral sclerosis (ALS), a rare neurodegenerative disease for which no efficient treatment exists. A particular goal is to test the possibility of stratifying ALS patients in subtypes with slow versus fast disease progression. It is based on a dataset of 30 ALS patients and matched controls, acquired on 7T and 3T magnetic resonance imaging (MRI) scanners, which is currently being extended. Specifically, this dataset involves advanced MRI techniques that are promising for neurodegenerative diseases: quantitative and sodium MRI modalities, in addition to usual structural and functional MRI. We thus plan to build a multimodal prediction pipeline such as to test the combination of distinct types of MRI data (graph/network fusion) for clinical prediction. It also includes an international collaboration and aims to compare ALS datasets acquired in different centers. The position lies at the intersection between clinical research in a hospital and a neuroscience laboratory, aiming to bridge the different research cultures from both sides. We provide an interdisciplinary environment with a team of experts in the following fields: • computational neuroscience with Matthieu Gilson (https://matthieugilson.eu) and Xenia Kobeleva (https://xenia-kobeleva.com/) • MRI techniques with Wafaa Zaaraoui (https://crmbm.univ-amu.fr/contact/zaaraoui-wafaa) • neurology with Aude-Marie Grapperon (https://loop.frontiersin.org/people/593696) and again Xenia Kobeleva. JOB OFFER The position consists of 2 contracts for a total duration of 18 months (full time, 35 hours / week), because of combining two sources of funding. The monthly net salary is between 2000 to 2500 euros depending on previous working experience. The work place is at the Institut de Neurosciences de la Timone (INT, https://int.univ-amu.fr) and Center for Magnetic Resonance in Biology and Medicine (CRMBM, https://crmbm.univ-amu.fr) both part of Aix-Marseille University (France). Start date: October 2023 REQUIRED QUALIFICATIONS AND PROFESSIONAL SKILLS We are looking for a candidate that can demonstrate sufficient experience at the PhD level and knowledge in data analysis for neuroscientific data for reaching the project objectives. We seek profiles with solid programming skills in Python (or an equivalent language) combined with a background in the field of neurology. Experience in clinical neuroimaging, markers for neuropathologies and/or computational neuroscience will be favored. Additionally, experience with working in a interdisciplinary team and interest for open science are desired. Women are strongly encouraged to apply. The candidates will also be evaluated on their motivation, with respect to all steps of the process from data acquisition to analysis and scientific communication. CONTACT AND REQUESTED DOCUMENTS Please send a curriculum vitae summarizing your academic and professional trajectory, as well as a motivation letter, to: matthieu.gilson(a)univ-amu.fr -- Matthieu Gilson Chaire de Professeur Junior Aix-Marseille Université Institut de Neurosciences de la Timone https://matthieugilson.eu

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*** SAVE THE DATES *** From Animals to Animats 17: The 17th International Conference on Simulation of Adaptive Behavior (SAB 2024) at UC Irvine
by Jeffrey L Krichmar 12 Sep '23

12 Sep '23

*** SAVE THE DATES *** From Animals to Animats 17: The 17th International Conference on Simulation of Adaptive Behavior (SAB 2024) When: September 9-12, 2024 Where: The University of California, Irvine, Irvine CA, USA Website: https://sites.uci.edu/sab2024/ The Simulation of Adaptive Behavior (SAB) interdisciplinary conference brings together researchers in artificial intelligence, artificial life, computer science, cybernetics, ethology, evolutionary biology, neuroscience, robotics, and many other fields, to further our understanding of the behaviors and underlying mechanisms that allow natural animals and artificial agents to adapt and survive in complex, dynamic and uncertain environments. Animats denote the connection between animals and synthetic agents. The conference focuses on models and experiments designed to help characterize and compare various organizational principles and architectures underlying adaptive behavior in real animals and in animats. SAB 2024 solicits contributions dealing with any aspect of adaptive behavior. We especially invite submissions from researchers who connect biology and natural behavior to synthetic agents. Conference papers are peer-reviewed and accepted papers will be published in “From Animals to Animats 17. SAB 2024.” Lecture Notes in Computer Science, Springer. Typical, but not exclusive, topics of interest are: - Artificial Intelligence, Artificial Life, and Computational neuroscience o Action selection, behavioral sequencing o Communication and language o Emotion and motivation o Internal models and representations o Reinforcement learning o Sensory-motor coordination, motor control o Software agents and virtual creatures - Philosophical Issues o Consciousness o Ethics o Mind/Body problem - Robotics o Autonomous robotics o Bio-inspired and hybrid robotics o Cognitive robotics o Developmental robotics o Humanoid robotics o Navigation and mapping o Neurorobotics - Self-Organizing Systems o Body and brain co-evolution o Collective and social behavior o Dynamical systems approaches o Evolutionary and co-evolutionary approaches o Self-assembling and self-replication IMPORTANT DATES (tentative): Paper submission deadline: April 1, 2024 Workshop and Tutorial proposals submission deadline: April 15, 2024 Notice of acceptance: June 30, 2024 Camera-ready papers: July 15, 2024 Conference dates: • Workshops and Tutorials: September 9, 2024 • Main Conference: September 10-12, 2024 ABOUT THE SAB CONFERENCE: SAB started in 1990 (Paris, 24-28 September 1990). After years of great success, SAB has given birth to numerous other conferences (on genetics algorithms, reinforcement learning, swarm intelligence, bio-inspired systems, developmental robotics, etc.). In the forthcoming 17th edition, we want to both celebrate this prior success and expand into trending research areas. Since SAB is held every two years, we want to strengthen the conference as a place to discuss the new trends in all relevant areas from the people bringing breakthrough ideas and results. SAB will continue to have a single-track format, to propose self-critical, thought-provoking, and nurturing discussions among specialists in each area as well as with specialists in other areas, so that the conference will both present the state of the art and inspire new ideas at the cutting edge of science. As steps in this direction, this year we will have a broad range of invited speakers to discuss both, longstanding topics in SAB, and the new trends in (and the future of) the Simulation of Adaptive Behavior. The conference will be held at the CalIT2 Auditorium on the UC Irvine Campus (https://www.calit2.uci.edu) We look forward to welcoming you at SAB 2024! SAB Organizing Committee ----------- Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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Autumn School in Comp Neuro/Neurotech/NeuroAI
by O'Donnell, Cian 11 Sep '23

11 Sep '23

Final notice for online applications for our 3rd annual Autumn School in Computational Neuroscience, Neurotechnology and Neuro-inspired AI (ISRC-CN3), hosted at the Intelligent Systems Research Centre (ISRC) at Ulster University, Northern Ireland (in-person attendance slots are now full). The School runs from 25-31st October 2023. Topics and lecturers: * Introductory neuroscience / Elaine Murray, Ulster University * Mathematics for neuroscience / Rachel Nicks, University of Nottingham * Computational modelling of plasticity and learning in brains / Cian O’Donnell, Ulster University * Computational modelling of neuronal and glial interactions / Liam McDaid, Ulster University * Modelling the dynamics of decision-making / KongFatt Wong-Lin, Ulster University * Investigating time series neural data: Common signal processing practices / Saugat Bhattacharyya, Ulster University * Fundamentals of functional and effective connectivity / Maria Dauvermann, University of Birmingham * Non-invasive brain-computer interfaces: Enhancing applicability using computational intelligence and technological advances / Girijesh Prasad, Ulster University * Decoding mental imagery from electroencephalography (EEG) and applications of AI-enabled wearable neurotechnology for communication and rehabilitation / Damien Coyle, University of Bath & Ulster University * Brain-inspired spiking neural network models for life-long and explainable learning / Nikola Kasabov, Auckland University of Technology & Ulster University * Introduction to Lifelong Learning / Shirin Dora, Loughborough University * Foundations of Large Language Models / Muskaan Singh, Ulster University * Neuromorphic Engineering / Jim Harkin, Ulster University * Ethical and regulatory issues in Neuroscience There will also be daily computer lab sessions and group projects. The school is primarily targeted at PhD student level but we also welcome applications from MSc students, postdoctoral researchers, academic faculty, and industrial researchers. Registration is made highly affordable: £50 for attendees from high-income countries, £20 for attendees from low- and middle-income countries. For more information and application, please visit the website at: https://www.ulster.ac.uk/faculties/computing-engineering-and-the-built-envi… Deadline for online application is 15th September 2023. Sponsored by generous funding from NeuroCONCISE, IEEE Brain, IEEE Computational Intelligence Society, IEEE EMBS, and g.tec. This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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General attendance open for Symposium on the Mathematics of Neuroscience (28th Sept - 1st Oct 2023, Old Town, Rhodes, Greece)
by Battleday, Ruairidh 11 Sep '23

11 Sep '23

Fourth International Symposium on the Mathematics of Neuroscience. 28th September - 1st October 2023, Old Town, Rhodes, Greece. —---------------- General attendance now open; poster sessions still accepting submissions. —---------------- We have finalized the schedule for this year’s conference on the mathematics of neuroscience, and have opened registration for general attendance: www.neuromonster.org Thank you to everyone that made a submission! We will continue to accept submissions for the poster sessions until the 20th September (and, registration for poster sessions includes general conference admission). In this exploratory symposium, we present and discuss general mathematical models of brain function. We give priority to those models that account for brain or behavioural data, or provide simulations to that effect. Keynote Speakers Professor Aapo Hyvärinen (University of Helsinki) Painful intelligence: What AI can tell us about human suffering Professor Janneke Jehee (Donders Institute) Probabilistic representations in the human visual cortex Professor Peter Latham (UCL) What’s the question and how do we answer it? Session Chairs Probabilistic models: Dr Ruairidh McLennan Battleday (Harvard / MIT) Neurotheory: Dr James Whittington (Oxford / Stanford) Biocomputation: Professor Dan V. Nicolau (King’s College London / Oxford) Representational alignment: Dr Ilia Sucholutsky (Princeton) Invited Speakers Professor Andrew Adamatzky (UWE) Professor Dan Nicolau Sr (McGill) Professor Bill Thompson (Berkeley) Professor Bradley Love (UCL) Professor Iris Groen (Amsterdam) Dr Thomas Parr (UCL) Dr Ilias Rentzeperis (SNRC) The symposium will be held virtually or in-person on the island of Rhodes, Greece from the 28th September - 1st October 2023 (www.neuromonster.org) Submission for poster sessions is by 250-word abstract before the 20th September 2023, emailed to the session chairs at battleday(a)thinkingaboutthinking.org, indicating the desired session. -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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tenure track assistant professor position in auditory systems neuroscience at the University of Pennsylvania
by Maria Geffen 08 Sep '23

08 Sep '23

Dear Colleagues, The Hearing Research Center at the University of Pennsylvania <https://www.med.upenn.edu/pennhearing/> has an opening for a tenure-track assistant professor in auditory systems neuroscience to join our team. Applications are accepted on rolling basis, with preference given to applications received by Oct 16. Application is available here: https://apply.interfolio.com/100900 <https://apply.interfolio.com/100900> Assistant Professor of Auditory Neuroscience, Tenure Track <https://apply.interfolio.com/100900> The Department of Otorhinolaryngology: Head and Neck Surgery <https://www.pennmedicine.org/departments-and-centers/otorhinolaryngology> at the Perelman School of Medicine <https://www.pennmedicine.org/> at the University of Pennsylvania <http://upenn.edu/> seeks candidates for an Assistant Professor position in the tenure track <https://apply.interfolio.com/100900>. Expertise is required in the specific area of systems neuroscience with a focus on identifying the neural correlates of hearing function or dysfunction with an emphasis on identifying the causal relationships between neural activity in individual neurons and/or circuits and learning or behavior. Particular areas of interest include computational neuroscience and translational approaches. Applicants must have an M.D. or Ph.D. or M.D./Ph.D. degree. Teaching responsibilities may include training of graduate students and post-doctoral investigators. Research or scholarship responsibilities may include building an independent research program in basic and/or translational studies in auditory neuroscience. Scholarship should include peer-reviewed publications and presentations of work at scientific meetings and other venues. The selected candidate will be expected to develop interactions with investigators not only in the department <https://www.med.upenn.edu/pennhearing/>, but within the greater neuroscience community in the Perelman School of Medicine <https://mindcore.sas.upenn.edu/> (e.g. the Computational Neuroscience Institute <http://cni.upenn.edu/>) and across the University campus. Ideally, the candidate should have the vision and ability to effectively interact with clinicians to establish and foster translational research programs within their research discipline. The ideal candidate should have completed advanced postdoctoral training or be an early career investigator with an exceptional record of research achievement demonstrating a trajectory for success in academic medicine. Key selection criteria will be in research excellence and originality of science. There is opportunity for a secondary appointment in a basic science department for the successful candidate. Candidates with a keen interest in building interdisciplinary programs through interactions across the basic and clinical departments within the Perelman School of Medicine, as well as other health-related schools at the University of Pennsylvania, are encouraged to apply. The Department of Otorhinolaryngology: Head and Neck Surgery is among the leading departments in the nation, and home to basic and translational scientists who conduct world-class research in auditory systems neuroscience <https://www.med.upenn.edu/pennhearing/>. The Perelman School of Medicine <https://www.pennmedicine.org/> at the University of Pennsylvania <http://upenn.edu/> provides an intellectually vibrant and collaborative interdisciplinary environment, with a wealth of cutting-edge research resources. We seek candidates who embrace and reflect diversity in the broadest sense. The University of Pennsylvania is an EOE. Minorities/women/individuals with disabilities/protected veterans are encouraged to apply. ______________________________________ Maria N. Geffen, Ph.D. (she/her) Professor Department of Otorhinolaryngology Department of Neuroscience Department of Neurology Co-Director, Computational Neuroscience Initiative Stemmler Hall G14 3450 Hamilton Walk Philadelphia PA 19104 (215)898-0782 mgeffen(a)pennmedicine.upenn.edu <mailto:mgeffen@pennmedicine.upenn.edu> My zoom room <https://pennmedicine.zoom.us/my/mgeffen?pwd=eWVFbUJFUGRJZ3g1eU9YZEZic2VwZz09> Follow me @ <https://mastodon.world/@geffenlab>geffenlab(a)mastodon.world <mailto:geffenlab@mastodon.world> @geffenlab.bsky.social <https://bsky.app/profile/geffenlab.bsky.social> http://hosting.med.upenn.edu/hearing <http://hosting.med.upenn.edu/hearing> Twitter: @neimarkgeffen <http://twitter.com/neimarkgeffen>

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free online Vision Courses available
by Li Zhaoping 08 Sep '23

08 Sep '23

These online courses (available at https://zhaoping.thinkific.com/ ) include A very brief introduction of what is known about vision experimentally <https://zhaoping.thinkific.com/courses/a-very-brief-introduction-of-what-is…> A very brief introduction to simple mathematical methods for computational vision <https://zhaoping.thinkific.com/courses/a-very-brief-introduction-to-simple-…> The efficient coding principle <https://zhaoping.thinkific.com/courses/the-efficient-coding-principle> Visual attention and V1 Saliency Hypothesis <https://zhaoping.thinkific.com/courses/visual-attention-and-v1-saliency-hyp…> Visual decoding and recognition <https://zhaoping.thinkific.com/courses/visual-decoding-or-recognition> You can mix and match them for graduate courses in (e.g.,) "Introduction to Vision", "Systems Vision Science", and "Computational Vision". They have been used for teaching in the University of Tuebingen, and are also suitable for self-study. Questions and comments are most welcome! Li Zhaoping -- Li Zhaoping, Ph.D. Prof. of Cognitive Science, University of Tuebingen Head of Department of Sensory and Sensorimotor Systems, Max Planck Institute for Biological Cybernetics Author of "Understanding vision: theory, models, and data", Oxford University Press, 2014 www.lizhaoping.org

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Special issue on Deep SNNs
by MASQUELIER Timothee 08 Sep '23

08 Sep '23

Dear colleagues, Please consider submitting your work to our Frontiers Research Topic "Deep Spiking Neural Networks: Models, Algorithms and Applications": https://www.frontiersin.org/research-topics/58546/deep-spiking-neural-netwo… Best, Tim ___________________________________________________________________ Timothée Masquelier - timothee.masquelier(a)cnrs.fr - http://cerco.cnrs.fr/pagesp/tim

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Watch our A Eye workshop via Zoom (September 19-22, 2023): 'Cortical Prostheses - Interdisciplinary Research Towards Artificial Vision for the Blind'
by David Rotermund 08 Sep '23

08 Sep '23

We would like to invite you to watch the talks of our workshop 'Cortical Prostheses - Interdisciplinary Research Towards Artificial Vision for the Blind'. It will take place from 19 to 22 September 2023. If you are interested in watching the talks via Zoom (free of charge), please use the web form at https://www.uni-bremen.de/i-see/hwk-workshop to register. In addition to the registration form, you will also find the abstracts of all the presentations and a provisional timetable (which is in German time) on the website. If you have any questions, please don't hesitate to ask. Here is the list of scheduled talks: Michael Beyeler Human-in-the-Loop Optimization of Simulated Prosthetic Vision Avi Caspi Eye tracking in cortical visual prosthesis - from theory to practice Gislin Dagnelie Early functional outcomes for the first human with the Intracortical Visual Prosthesis (ICVP) Theo Doll Additively Fabricated Cortical Electrodes – a materials challenge Udo Ernst I-See - Evaluating novel approaches for constructing visual cortical prostheses Eduardo Fernandez Jover Towards an advanced cortical visual neuroprosthesis based on intracortical microelectrodes Ione Fine Pulse trains to percepts: Using virtual patients to describe the perceptual effects of human visual cortical stimulation Shelley I. Fried Towards the development of a micro-coil based cortical visual prosthesis Diego Ghezzi High-density wide-area cortical visual prosthesis Umut Guclu Neural Coding and Neuroprosthetics with Deep Learning and Synthetic Reality Michael Herzog A psychophysical approach to object rendering in future V4 prostheses Dirk Jancke Probing electrical brain stimulation in genetically modified mice Arto Nurmikko Wireless Networks of Implanted Microchips for Distributed Cortical Sensing and Stimulation Christopher Pack Design considerations for an extrastriate visual cortical prosthetic Carlos Ponce Estimating the capacity of neuronal population encoding via image reconstructions Bogdan Raducanu Chips to neurons and back: electronic circuits for neural recording and stimulation Pieter Roelfsema Visual perception and consciousness and their restoration when the eyes fail Andreas Schander Development of neural probes for chronic recording and electrical stimulation Michael Schmid Influence of visual cortex stimulation on perception: Insights from experiments in non-human primates Martin Schrimpf Do Topographic ANNs Predict the Behavioral Effects of Neural Interventions in Primate IT Cortex? Fabian Sinz Exploring the Visual System with Functional Digital Twins and Inception Loops Anna Wang Roe A novel interface for cortical columnar neuromodulation with multi-point infrared neural stimulation Daniel Yoshor Implementing a Visual Cortical Prosthetic: Advances and Challenges best wishes David

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Postdoctoral Position at Stevens in Multiphysics Brain Aging Modeling
by Johannes Weickenmeier 06 Sep '23

06 Sep '23

Dear all, We have a post-doc position available on our “white matter damage progression during healthy brain aging” project that is part of a U19 NIH-funded program investigating the Diverse Vascular Contributions to Cognitive Impairment and Dementia (Diverse VCID) to improve meaningful diagnosis for people at risk for dementia: https://diversevcid.ucdavis.edu/ The work will take place within the Soft Tissue Biomechanics group led by Prof. Johannes Weickenmeier at Stevens Institute of Technology: www.weickenmeierlab.com<http://www.weickenmeierlab.com>. This is a full-time position to work on developing computational models to predict deep white matter lesion formation and progression. **Scientific Profile Requested** Requirements: PhD in Mechanical Engineering, Physics, Computer Science, Maths, and related fields. Skills and track-record: * Constitutive modelling of soft tissues, numerical simulation, multiphysics modeling * Analytical study of numerical simulations * Demonstrated ability to work independently and as part of a collaborative research team. * Ability to present and publish research outcomes in spoken (talks) and written (papers) form. * Fluency in spoken and written English. Scientific Profile: The preferred candidate will have: * Strong background in computational mechanics, biophysics, and/or constitutive modeling * Interest to work in interdisciplinary research at the interface of engineering, health, and medicine Deadline: ASAP Required Application Materials: CV Looking forward to your applications, Johannes Weickenmeier _______________________________________ Johannes Weickenmeier, PhD, Assistant Professor and Director of the Center for Neuromechanics Stevens Institute of Technology | Department of Mechanical Engineering | phone: 201-216-5527 | pronouns: he/him/his | Soft Matter Biomechanics: www.weickenmeierlab.com<https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.weicke…>

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Subject: COMPLEX NETWORKS 2023 Menton Riviera France Submission Deadline Extended Sept 11, 2023
by Fabian Braesemann 06 Sep '23

06 Sep '23

You are cordially invited to submit your contribution until September 11, 2023 (Extended Firm Deadline). 12 th International Conference on Complex Networks & Their Applications Menton Riviera<https://www.menton-riviera-merveilles.co.uk/>, France November 28 - 30, 2023 COMPLEX NETWORKS 2023<https://complexnetworks.org/> KEYNOTE SPEAKERS • Michael Bronstein<https://www.cs.ox.ac.uk/people/michael.bronstein/> University of Oxford UK • Kathleen Carley<https://www.cylab.cmu.edu/directory/bios/carley-kathleen.html> Carnegie Mellon University USA • Manlio De Domenico<https://manliodedomenico.com/> University of Padua Italy • Danai Koutra<http://web.eecs.umich.edu/~dkoutra/> University of Michigan USA • Romualdo Pastor-Satorras<http://www.fen.upc.edu/~romu/> Univ. Politècnica de Catalunya Spain • Tao Zhou<https://scholar.google.com/citations?user=MXgWgmEAAAAJ&hl=en> USTC China TUTORIALS • Tiago de Paula Peixoto<https://skewed.de/tiago> CEU Vienna Austria • Maria Liakata<https://www.turing.ac.uk/people/researchers/maria-liakata> Queen Mary University of London UK SUBMISSION You can submit at : https://complexnetworks.org/submission/ • A Full paper (not previously published work up to 12 pages) • An Extended Abstract (about published or unpublished research up to 4 pages) PUBLICATION • Papers will be included in the conference proceedings edited by Springer • Extended abstracts will be published in the Book of Abstracts (with ISBN) • Extended versions will be invited for publication in special issues of international journals: o Applied Network Science<https://appliednetsci.springeropen.com/> edited by Springer o Advances in Complex Systems<https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific o Complex Systems <https://www.complex-systems.com/about/> o Entropy<https://www.mdpi.com/journal/entropy> edited by MDPI o PLOS Complex systems<https://plos.org/complex-systems-research-journal/> o PLOS<https://journals.plos.org/plosone/> one<https://journals.plos.org/plosone/> o Social Network Analysis and Mining<https://link.springer.com/journal/13278> edited by Springer TOPICS Topics include, but are not limited to: o Models of Complex Networks o Structural Network Properties and Analysis o Epidemics o Community Structure o Motifs o Network Mining o Network embedding o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Controllability o Synchronization o Visual Representation o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems o Financial and Economic Networks o Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics o Earth Sciences Applications o Resilience and Robustness of Complex Networks o Networks for Physical Infrastructures o Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks o Graph-Based Natural Language Processing GENERAL CHAIRS Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA) --- Dr Fabian Braesemann Departmental Research Lecturer in AI & Work Oxford Internet Institute University of Oxford Publicity Co-Chair 12th International Conference on Complex Networks & Their Applications 28 - 30 November, 2023, French Riviera, France fabian.braesemann(a)oii.ox.ac.uk<mailto:fabian.braesemann@oii.ox.ac.uk> +44 7731 700 704 Google Scholar<https://scholar.google.at/citations?user=L2AXGNwAAAAJ&hl=en> | LinkedIn<https://uk.linkedin.com/in/fabian-braesemann-210645138> Oxford Internet Institute University of Oxford 1 St Giles Oxford, OX1 3JS

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Modellers Workshop for the Brain Dynamics Toolbox
by Stewart Heitmann 06 Sep '23

06 Sep '23

Enrolments for the Modeller’s Workshop for the Brain Dynamics Toolbox are now open. Master the art of programming dynamical systems in Matlab using the Brain Dynamics Toolbox. This online course is for researchers, students and instructors who wish to build their own models. Each step is explained in a short video lecture with a practical focus on programming techniques. Topics include Ordinary Differential Equations (ODEs), Delay Differential Equations (DDEs), Stochastic Differential Equations (SDEs), Partial Differential Equations (PDEs), model-specific plotting functions and command-line tools. Example code is provided in all cases. Study time is 8 hours. Course Website https://bdtoolbox.teachable.com/p/modellers-workshop Toolbox Website https://bdtoolbox.org Important Information The course is limited to 25 students. Enrolments close 30th Sep 2023. Stewart Heitmann Disclaimer The information contained in this communication from the sender is confidential. It is intended solely for use by the recipient and others authorized to receive it. If you are not the recipient, you are hereby notified that any disclosure, copying, distribution or taking action in relation of the contents of this information is strictly prohibited and may be unlawful. This email has been scanned for viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business. Providing a safer and more useful place for your human generated data. Specializing in; Security, archiving and compliance. To find out more visit the Mimecast website.

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Register today: INCF Neuroinformatics Assembly 2023
by INCF 05 Sep '23

05 Sep '23

There's still time to register for Assembly! *INCF Neuroinformatics Assembly 2023* *Sep 18-20, 2023* *Virtual via Gather* Abstracts due Sep 11, 2023 Regular registration: 50 USD Student registration: 20 USD **Discounted registration for INCF members** Learn about and share the latest advancements in neuroinformatics! This year’s theme is Transparency in FAIR Neuroinformatics and the following topics will be represented at the assembly: - "Opening the black box”: How to make AI/ML interpretable for Neuroinformatics - Neuroscience data integration through use of Digital Brain Atlases - *2 PhD credits!* - “A FAIR share”: The feasibility and scalability of data sharing from the infrastructure POV - A FAIR roadmap for knowledge graphs and ontologies - “Is this FAIR?”: Transparency in EDI & career development & management - From repositories to workflows: A FAIR roadmap for building and endorsing tools *Register today: *neuroinformatics.incf.org/assembly22-registration *Submit your abstract: *neuroinformatics.incf.org/abstract-submission *Learn more: *neuroinformatics.incf.org

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Two postdoctoral (senior research officer) positions in Essex Brain-Computer Interfaces and Neural Engineering Laboratory
by Poli, Riccardo 05 Sep '23

05 Sep '23

Dear all, We have two senior research officer (post-doc) jobs available on our “semantic brain-computer interface” project led by Dr Ian Daly with myself (Riccardo Poli) and Silke Paulmann (in Psychology) within the Essex Brain-Computer Interfaces and Neural Engineering Laboratory.<https://www.essex.ac.uk/departments/computer-science-and-electronic-enginee…> These are three-year full-time positions to work on developing decoding models for EEG-fNIRS signals and BCI devices. Full details: https://hrorganiser.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.ope… Deadline: 13th October 2023 Many thanks, Riccardo -- Prof Riccardo Poli https://www.essex.ac.uk/people/polir15101/riccardo-poli E-mail: rpoli(a)essex.ac.uk<mailto:rpoli@essex.ac.uk> Zoom: https://essex-university.zoom.us/my/rpoli Address: School of Computer Science and Electronic Engineering University of Essex Wivenhoe Park Colchester CO4 3SQ, UK

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postdoc position announcement at INMED (Marseille)
by Lorenzo Fontolan 01 Sep '23

01 Sep '23

An ERC-funded postdoctoral position is available in the Cossart lab at the Mediterranean Institute of Neurobiology (INSERM, Aix-Marseille University, Marseille, France) to work in a collaborative, interdisciplinary, and friendly environment (by the Calanques). The Cossart lab aims at understanding memory circuits in the brain and describing how they develop in health and disease. To this aim, we use cutting-edge optical, computational, and data analysis methods. The candidate will apply their skills to extract information from our datasets, build computational models to make predictions, and work in close collaboration with experimentalists. The candidate will be co-supervised by Dr. Lorenzo Fontolan, a computational neuroscientist who recently started his research group at Inmed. Starting date fall/winter 2023. We especially invite applications from prospective postdocs with backgrounds in physics, applied mathematics, and electrical engineering. To apply, please send a CV, a short statement containing research interests and previous experience, and two names of references with contact information to: *rosa.cossart(a)inserm.fr <rosa.cossart(a)inserm.fr> *and* lorenzo.fontolan(a)inserm.fr <lorenzo.fontolan(a)inserm.fr>* Lorenzo Fontolan -- Group Leader *Turing Centre for Living Systems (CENTURI) Institut de Neurobiologie de la Méditerranée & Centre de Physique Théorique Université Aix-Marseille, France* *https://www.inmed.fr/neural-computation-and-dynamics <https://www.inmed.fr/neural-computation-and-dynamics>* *https://centuri-livingsystems.org/l-fontolan/ <https://centuri-livingsystems.org/l-fontolan/>*

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Postdoc position in Bilbao on open-ended network self-organization
by Miguel Aguilera 01 Sep '23

01 Sep '23

Hi all, We are offering one postdoc position on self-organized network modelling at the Basque Center for Applied Mathematics in Bilbao (Basque Country, Spain) under the supervision of MIguel Aguilera. DETAILS: **Postdoctoral Fellow on open-ended, self-organized, bio-inspired networks** Topics: One of the outstanding challenges in modelling living and cognitive systems is to capture their ability to continuously adapt and develop. Our behavioural responses are not fixed but driven instead by a complex ecology, composed of myriads of fluid and inconspicuous neurodynamical patterns that have slowly grown on us. AI models like neural networks can capture complex behaviours, but often this open-ended, liquid and ongoing reconfiguration is incredibly challenging to reproduce with static topologies. In contrast, liquid neural networks (or 'liquid brains') are a widespread class of networks with a particular feature: nodes (which may represent 'neurons' or 'agents' and typically all share identical rules) not only process information from neighbour nodes, but they also dynamically modify their network connections, e.g. by moving in space. These networks show how neural-like processing typically associated with static physiological networks can also emerge from fluid collective interaction, dynamically exploring configuration spaces beyond standard connection weight changes. Examples of this kind of model include collective decision-making and fluctuations in ant colonies or idiotypic cascades in immune networks. Objective: The aim of this project is to develop a theory of learning in liquid brains, focused on two aspects: 1) How do liquid brains learn? How is this process different from static neural networks?, and 2) what is the adaptive potential of liquid brains when they are embodied as an agent in interaction with a changing external environment? Answering these questions has the potential to extend the idea of liquid brains from a theoretically deep and intriguing concept to a useful tool available to the machine learning community. Specifically, liquid brains could afford more open-ended, self-improving systems, exploiting fluid reconfiguration of nodes as an adaptive dimension which is generally unexplored. This could also allow modes of learning that avoid catastrophic forgetting, as reconfigurations in the network are based on reversible movement patterns. In terms of technology transfer, this advances can also have important implications for new paradigms like edge computing. PI in charge: Miguel Aguilera <https://maguilera.net/> Salary and conditions: The gross annual salary of the Fellowship will be 29.120€ - 35.360€ according to experience. Additionally, we offer a moving allowance up to 2.000€. Should the researcher have a family at the time of recruitment: 1. 2.000€ gross in a single payment will be offered (you must be married-official register or with children and the certificate to prove it must be sent). 2. 1.200€ gross per year/per child (up to 2 children) will be offered (the certificate to prove it must be sent). Contract and offer: 1 + 1 years Deadline: 8TH September 2023, 14:00 CET How to apply: Applications must be submitted on-line at: https://joboffers.bcamath.org/apply/ic2023-08-postdoctoral-fellow-in-open-e… **Scientific Profile Requested** Requirements: PhD in Physics, Engineering, Computer Science, Maths, Artificial Intelligence, Computational Neuroscience and related fields. Skills and track-record: * Modelling experience with complex or neural network models, e.g. Hopfield networks, Ising models, Boltzmann machines, sandpile models, flock/swarm/insect colony models. * Solid programming skills * Analytical study of stochastic processes * Demonstrated ability to work independently and as part of a collaborative research team. * Ability to present and publish research outcomes in spoken (talks) and written (papers) form. * Fluency in spoken and written English. Scientific Profile: The preferred candidate will have: * Strong background in complex systems, neural network modelling, biophysics, information theory and/or statistical mechanics * Interest to work in interdisciplinary research projects Application and Selection Process Formal Requirements: The selected candidate must have applied before the application deadline online at the webpage https://joboffers.bcamath.org/ The candidates that do not fulfil the mandatory requirements will not be evaluated with respect to their scientific profile. Additional documents could be requested during the evaluation process so as to check this fulfilment. Application: Required documents: * CV * Letter of interest * 2 recommendation letters * Statement of past and proposed future research (2-3 pages) Evaluation: Based on the provided application documents of each candidate, the evaluation committee will evaluate qualitatively: the adaption of the previous training and career to the profile offered, the recommendation letters, the main results achieved (papers, proceedings, etc.), the statement of past and proposed future research and other merits; taking in account the alignment of these items to the topic offered. Incorporation: As soon as possible -- Miguel Aguilera | Ikerbasque Research Fellow | BCAM – Basque Center for Applied Mathematics |https://maguilera.net

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Kempner Research Fellows
by Cengiz Pehlevan 01 Sep '23

01 Sep '23

The Kempner Institute at Harvard University has opened the application for the next cohort of Kempner Research Fellows. The application is open now and will close on October 9, 2023. The 3 year fellowship provides a generous stipend, funding for research, and access to our GPU cluster. We seek candidates who are working on or more of the following areas: Foundations of intelligence, including mathematical and computational models of intelligence, cognitive theories of intelligence, and the neurobiological basis of intelligence. Applications of artificial intelligence, including natural language processing, visual scene processing and analysis, and to the mechanistic analysis of high dimensional neural and behavioral data. The study of these applications can either be from an engineering standpoint (e.g., development of new methodologies or advancing the state of the art) as well as from a scientific one (e.g., achieving a better understanding of deep learning). To be eligible, a candidate must be, at the earliest, in the final year of their Ph.D. training and at the latest, have received their PhD no earlier than 9/1/2021. See this link for more information and how to apply: https://www.harvard.edu/kempner-institute/opportunities/the-kempner-institu… Email KempnerInstitute(a)harvard.edu <mailto:KempnerInstitute@harvard.edu> for any questions about the position.

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Postdoc Position in Hamburg, Germany
by Jan Gläscher 31 Aug '23

31 Aug '23

Dear Colleagues, there is a Postdoc position for 4 years (starting January 2024) available in my lab to work on a project on dynamic belief updating in stochastic and changing environments using computational modeling of behavior, combined EEG-fMRI, and eye-tracking. Details can be found here <https://drive.google.com/file/d/1neec58x-6RQe-WuKt33xJRJPIhZzm-We/view?usp=…>. Our lab is at www.glascherlab.org <https://www.glascherlab.org/>. Best wishes, Jan Jan Gläscher, Ph.D. Research Group Leader “Valuation and Social Decision-Making" Institute for Systems Neuroscience University Medical Center Hamburg-Eppendorf Germany -- _____________________________________________________________________ Universitätsklinikum Hamburg-Eppendorf; Körperschaft des öffentlichen Rechts; Gerichtsstand: Hamburg | www.uke.de Vorstandsmitglieder: Prof. Dr. Christian Gerloff (Vorsitzender), Joachim Prölß, Prof. Dr. Blanche Schwappach-Pignataro, Marya Verdel _____________________________________________________________________ SAVE PAPER - THINK BEFORE PRINTING

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PhD position on neuromorphic electronic systems for artificial olfaction
by Jakob Jordan 30 Aug '23

30 Aug '23

(fowarded on behalf of Dr. Kevin Max, University of Bern, Switzerland) Dear colleagues, as part of our new project SYNCH: neuromorphic electronic systems for artificial olfaction, we are looking for a PhD candidate interested in working on neuromorphic hardware integration. The position is open at the department of Electrical Engineering at TU Eindhoven, the Netherlands. If you are interested or know somebody who is, please consider the following link: https://jobs.tue.nl/en/vacancy/phd-position-on-neuromorphic-electronic-syst… Cheers, Kevin

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2024 NERF PhD Program
by pedro goncalves 30 Aug '23

30 Aug '23

Dear all, Want to do a PhD in neurosciences? Join us - we're recruiting! Neuro-Electronics Research Flanders (NERF) is an interdisciplinary research center located in Leuven, Belgium. We study neuronal circuits and develop new technologies to link circuit activity to brain function. We offer students an opportunity to carry out cutting-edge systems neuroscience research in an international and collaborative environment, with multi-disciplinary training and access to advanced neurotechnologies. More details about the positions and NERF can be found at https://nerfphdcall.sites.vib.be/en Best wishes, Pedro Gonçalves --------------- Pedro Gonçalves Principal Investigator at NERF, a joint research initiative by imec, VIB, and KU Leuven https://goncalveslab.sites.vib.be/en

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The Bernstein Conference 2023 in Berlin is approaching
by Alexander Lammers 30 Aug '23

30 Aug '23

***The Bernstein Conference 2023 in Berlin is approaching*** ___ The 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. All information: https://bernstein-network.de/bernstein-conference/ ___ Events Bernstein Conference: Sept 26 - 29, 2023 Satellite Workshops: Sept 26 – 27, 2023 Main Conference: Sept 27 – 29, 2023 Postdoc Meeting: Sept 27, 2023 PhD Symposium: Sept 29 – 30, 2023 ___ Schedule Find the detailed schedule here: https://bernstein-network.de/bernstein-conference/program/schedule/ ___ Registration Registration Deadline: Sept 13, 2023 On-site registration possible if sufficient places are available. All information: https://bernstein-network.de/bernstein-conference/registration/ ___ Invited Speaker Opening Lecture Marlene Cohen (University of Chicago, USA) Invited Talks Tiago Branco (Sainsbury Wellcome Center, UK) Stefano Fusi (Columbia University, USA) Ann Kennedy (Northwestern University, USA) Julija Krupic (University of Cambridge, UK) Wiktor Mlynarski (LMU Munich, Germany / Institute of Science and Technology, Austria) Adrien Peyrache (McGill University, Canada) Kanaka Rajan (Icahn School of Medicine at Mount Sinai, USA) Christopher Summerfield (University of Oxford and Deepmind, UK) Julia Veit (Albert-Ludwigs-Univesität Freiburg, Germany) ___ Conference Committee Robert Gütig (Conference Chair) Tatjana Tchumatchenko (Program Chair) Srdjan Ostojic (Program Vice Chair) Anna Levina (Workshop Chair) Maria Eckstein (Workshop Vice Chair) & Athena Akrami, Ann Hermundstad, Mehrdad Jazayeri, Christian Leibold, Ashok Litwin-Kumar, Ida Momennejad, Nicole Rust, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ___ FAQ & Contact Find FAQs here: https://bernstein-network.de/bernstein-conference/general-information/impor… 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), Dr. Ir. Pieter Jansens ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Faculty positions at Okinawa Institute of Science and Technology, Japan
by Erik De Schutter 30 Aug '23

30 Aug '23

Dear computational neuroscientists, OIST is recruiting in all areas of science, but assistant professor level recruitment in computational neuroscience is a priority for the coming years to reinforce our strength in CNS. So go ahead and apply, we’re actively looking for female candidates. Apply at https://groups.oist.jp/facultypositions

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Bordeaux Neurocampus: 1st Open Science Workshop
by Fjola Hyseni 30 Aug '23

30 Aug '23

To whom it may concern, I would like to diffuse an email about the 1st Open Science Workshop in Bordeaux. -------------------------------------------------------------------------------------------------------------- Hey, Open Science enthusiast! Are you ready to dive into a whirlwind of knowledge, fun, and free lunch? Our Open Science Workshop <https://bordeaux-neurocampus.github.io/OS-Workshop-2023/> is just around the corner, and trust us, you won't want to miss it! Get ready to be blown away by some seriously cool speakers who are pushing the boundaries in the world of Open Science! And the best part? It's completely FREE to attend! Yup, you read that right – no registration fees! Lunch and coffee are also included & free because great minds need some fuel. 📅 When: October 16th- 20th 🕒 Where: Neurocampus - University of Bordeaux 💡 What: A One-Week Open Science Workshop 💸 Travel grants: YES! Coming from outside of Bordeaux? No problemo, we have a few travel grants available! ✅ Training hours: Yup! This week can be validated as training hours! Soon, the course will be on ADUM! 📝 Where to apply: Click HERE <https://bordeaux-neurocampus.github.io/OS-Workshop-2023/apply>! 👥 Who can apply: Anyone working in research and interested in improving their practices! 🗣️ Feel free to pass this message to a friend – the more, the merrier! We look forward to welcoming you to this amazing workshop! Sincerely, The Organizers

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Postdoc - Computational Neuroscience
by Aaron Milstein 29 Aug '23

29 Aug '23

Dr. Aaron Milstein, Assistant Professor of Neuroscience and Cell Biology, is seeking a postdoc to join his computational neuroscience lab at Rutgers University in Piscataway, NJ. Projects in the lab focus on understanding a newly discovered form of synaptic plasticity that depends on dendritic spikes called behavioral timescale synaptic plasticity (BTSP). We hypothesize that this plasticity mechanism is involved in coordinating supervised learning across multiple brain regions. Ideal candidate: – Interested in bio-inspired neural networks and/or neural circuits – Enjoy learning and tackling difficult research questions – Completed (or close to completing) a PhD – Have research experience in a relevant topic (e.g. Neuroscience, Computational Neuroscience, Computer Science, Machine Learning, Bioengineering, etc.). What we offer: – A supportive work environment in a fun international team with room to develop your own project – The option to collaborate with other world-class neuroscience and engineering labs at Rutgers and beyond – Opportunities to travel to national and international conferences – Healthcare coverage – Salary in line with the NIH payscale (based on years of experience) You can learn more about the lab here: https://milsteinlab.com We look forward to hearing from you! Please apply at the following link: https://jobs.rutgers.edu/postings/204606

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Call for abstracts extended (Sept 3rd): Symposium on the Mathematics of Neuroscience, Rhodes, Greece, Sept 28th-Oct 1st, 2023
by Battleday, Ruairidh 29 Aug '23

29 Aug '23

Fourth International Symposium on the Mathematics of Neuroscience. 28th September - 1st October 2023, Old Town, Rhodes, Greece. —---------------- Deadline extended (Sept 3rd): Call for abstracts —---------------- Our deepest gratitude to all of you that have submitted so far! We are extending our invitation to submit abstracts for this year’s conference on the mathematics of neuroscience until September 3rd: www.neuromonster.org In this exploratory symposium, we present and discuss general mathematical models of brain function. We give priority to those models that account for brain or behavioural data, or provide simulations to that effect. Submissions will be assigned to either a short talk, spotlight talk, or poster presentation. Keynote Speakers Professor Aapo Hyvärinen (University of Helsinki) Professor Janneke Jehee (Donders Institute) Professor Peter Latham (UCL) Session Chairs Probabilistic models: Dr Ruairidh McLennan Battleday (Harvard / MIT) Neurotheory: Dr James Whittington (Oxford / Stanford) Biocomputation: Professor Dan V. Nicolau (King’s College London / Oxford) Representational alignment: Dr Ilia Sucholutsky (Princeton) Confirmed Talks Professor Andrew Adamatzky (UWE) Professor Dan Nicolau Sr (McGill) Professor Bill Thompson (Berkeley) Professor Bradley Love (UCL) Professor Iris Groen (Amsterdam) Dr Thomas Parr (UCL) Dr Ilias Rentzeperis (SNRC) The symposium will be held virtually or in-person on the island of Rhodes, Greece from the 28th September - 1st October 2023 (www.neuromonster.org) Submission is by 250-word abstract before the 3rd September 2023, emailed to the session chairs at battleday(a)thinkingaboutthinking.org, indicating the desired session. -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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Faculty position at Cold Spring Harbor Laboratory in computational neuroscience
by Benjamin Cowley 28 Aug '23

28 Aug '23

Hi all, Cold Spring Harbor Laboratory has an open search for a faculty position in computational/theoretical neuroscience. Applications are due Nov. 15, 2022. https://www.cshl.edu/about-us/careers/faculty-positions/ Here is the job description: Cold Spring Harbor Laboratory (CSHL) is seeking to fill a faculty position in the area of COMPUTATIONAL/THEORETICAL NEUROSCIENCE. Of particular interest to this search are candidates with expertise in computational and theoretical neuroscience, machine learning, and artificial intelligence. The successful candidate will have an outstanding record of research achievement and an innovative research program. They will join a highly interactive and collaborative neuroscience group working on neural circuits, neural development, neurogenetics, theoretical and computational neuroscience, artificial intelligence, synaptic function, brain disorders, rodent cognition, perception, and social behavior. Preference will be given to applicants at the Assistant Professor level, but outstanding candidates at all career stages will be considered. Cold Spring Harbor Laboratory is a world-renowned research and educational institution with programs in cancer, neuroscience, plant biology, genomics, and quantitative biology. Located on the North Shore of Long Island 30 miles from New York City, the Laboratory has a rich and successful research environment rooted in interdisciplinary collaboration as well as an innovative graduate school that attracts talented students each year. CSHL is committed to fostering a diverse work environment that values best practices in mentorship, equity, and inclusion. Successful candidates will be expected to establish productive research programs while mentoring diverse groups of students and postdocs. Applications are strongly encouraged from groups historically underrepresented in science, including women and U.S. racial/ethnic minority populations. To apply, please submit a cover letter, CV, description of research accomplishments, statement of future research plans, and a statement of diversity & mentoring to: https://cshl.peopleadmin.com/postings/20153 Position ID 03299-R; letters of reference will be requested separately. The statement of diversity & mentoring should describe a candidate’s mentoring philosophy, contributions to equity and inclusion in science, and prior training (as applicable) in mentoring, academic management/leadership, and antidiscrimination/antiracism. We will begin considering applications on a rolling basis on October 5, 2022, and applications will be considered until *November 15*. Inquiries regarding the search should be directed to: CSHLfacultyjobs(a)cshl.edu

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COMPLEX NETWORKS 2023 Menton Riviera France Submission Deadline Sept 02, 2023
by Hocine Cherifi 28 Aug '23

28 Aug '23

You are cordially invited to submit your contribution until *September 02, 2023*. *12* *th **International Conference on Complex Networks & Their Applications* Menton Riviera <https://www.menton-riviera-merveilles.co.uk/>, France November 28 - 30, 2023 COMPLEX NETWORKS 2023 <https://complexnetworks.org/> *KEYNOTE SPEAKERS* · Michael Bronstein <https://www.cs.ox.ac.uk/people/michael.bronstein/> University of Oxford UK · Kathleen Carley <https://www.cylab.cmu.edu/directory/bios/carley-kathleen.html> Carnegie Mellon University USA · Manlio De Domenico <https://manliodedomenico.com/> University of Padua Italy · Danai Koutra <http://web.eecs.umich.edu/~dkoutra/> University of Michigan USA · Romualdo Pastor-Satorras <http://www.fen.upc.edu/~romu/> Univ. Politècnica de Catalunya Spain · Tao Zhou <https://scholar.google.com/citations?user=MXgWgmEAAAAJ&hl=en> USTC China *TUTORIALS* · Tiago de Paula Peixoto <https://skewed.de/tiago> CEU Vienna Austria · Maria Liakata <https://www.turing.ac.uk/people/researchers/maria-liakata> Queen Mary University of London UK *SUBMISSION* You can submit at : https://complexnetworks.org/submission/ · A *Full paper *(not previously published work up to 12 pages) · An *Extended Abstract* (about published or unpublished research up to 4 pages) *PUBLICATION* · *Papers *will be included in the conference *proceedings edited by Springer* · *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* · *Extended versions* will be invited for publication in *special issues of international journals:* o Applied Network Science <https://appliednetsci.springeropen.com/> edited by Springer o Advances in Complex Systems <https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific o Complex Systems <https://www.complex-systems.com/about/> o Entropy <https://www.mdpi.com/journal/entropy> edited by MDPI o PLOS Complex systems <https://plos.org/complex-systems-research-journal/> o PLOS <https://journals.plos.org/plosone/> one <https://journals.plos.org/plosone/> o Social Network Analysis and Mining <https://link.springer.com/journal/13278> edited by Springer *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Epidemics o Community Structure o Motifs o Network Mining o Network embedding o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Controllability o Synchronization o Visual Representation o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems o Financial and Economic Networks o Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics o Earth Sciences Applications o Resilience and Robustness of Complex Networks o Networks for Physical Infrastructures o Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks o Graph-Based Natural Language Processing *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA) Join us at COMPLEX NETWORKS 2023 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science <https://appliednetsci.springeropen.com/> Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

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LASCON 2024 - IX Latin American School on Computational Neuroscience (Call for applications) Caixa de entrada
by Antonio Roque 27 Aug '23

27 Aug '23

**** Apologies for cross-posting **** IX Latin American School on Computational Neuroscience - LASCON 2024 January 8 - February 2, 2024, University of Sao Paulo, Sao Paulo, Brazil www.sisne.org/lascon-ix APPLICATION DEADLINE: October 14, 2023 Dear Colleagues, After the hiatus of the pandemic, I am pleased to announce that the 9th edition of the Latin American School on Computational Neuroscience (LASCON 2024) will take place January 8 - February 2, 2024 at the NeuroMat Center in the University of Sao Paulo, Sao Paulo, Brazil. LASCON aims at introducing young researchers and graduate and advanced undergraduate students to the use of computational and mathematical methods for modeling neurons and neural networks. The following topics will be covered: single-cell models (biophysically detailed, reduced and simplified), circuit and network models of biophysically detailed and simplified spiking neurons, probabilistic neuronal models, synaptic plasticity and learning, spike train analysis, neural population models, neuron-glia interaction models, models of extracellular fields, brain criticality, computational psychiatry, traveling waves in neural systems, and dynamics of neuronal functional connectivity. These subjects will be taught via theoretical classes and hands-on tutorials with the use of the programs NEURON, NetPyNE, NEST, Brian, The Virtual Brain and others. Students will have to work on small research projects (to be done in groups of two), which they will present orally at the end of the school. The following lecturers will be in charge of theoretical classes and tutorials: Aline Duarte, University of Sao Paulo, Sao Paulo, SP, Brazil Arnd Roth, University College, London, UK Christophe Pouzat, University of Strasbourg, Strasbourg, France Demian Battaglia, Aix-Marseille University, Marseille, France Fabio M. Simoes de Souza, Federal University of ABC, Sao Bernardo do Campo, SP, Brazil Gaute Einevoll, Norwegian University of Life Sciences, As, Norway German Mato, Bariloche Atomic Center, San Carlos de Bariloche, Argentina Hans Ekkehard Plesser, Norwegian University of Life Sciences, As, Norway Horacio Rotstein, New Jersey Institute of Technology, Newark, NJ, USA John Murray, Yale School of Medicine, New Haven, CT, USA Junji Ito, Juelich Research Center, Juelich, Germany Lyle Muller, Western University, London, Ontario, Canada Marja-Leena Linne, Tampere University, Tampere, Finland Mauricio Girardi-Schappo, Federal University of Santa Catarina, Florianopolis, SC, Brazil Mauro Copelli, Federal University of Pernambuco, Recife, PE, Brazil Sonja Gruen, Juelich Research Center, Juelich, Germany Tilo Schwalger, Technical University of Berlin, Berlin, Germany Valeriy Bragin, State University of New York, New York, NY, USA William Lytton, State University of New York, New York, NY, USA The number of students is limited to 40 and applications should be made electronically via the application form in the school's web page ( www.sisne.org/lascon-ix) Applicants are also requested to submit a detailed CV (in English) and to provide two letters of recommendation. The application deadline is October 14, 2023 (until midnight, US Pacific time). There is no registration fee for the school. Depending on available funding, the school organization may provide free accommodation for students not from the Greater Sao Paulo area. Travel costs will have to be covered by the students. Sao Paulo is the major transportation hub in South America, so it is possible to fly from basically anywhere in the world to its airports. In the selection procedure, priority will be given to Latin-American students, but students from other parts of the world are encouraged to apply as well. LASCON 2024 is an activity of the FAPESP Center for Neuromathematics (NeuroMat - http://neuromat.numec.prp.usp.br/) I am looking forward to see you in Sao Paulo. Best regards, Antonio Roque LASCON Director -- Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil antonior(a)usp.br <antonior(a)ffclrp.usp.br> aroquesilva(a)gmail.com www.sisne.org ORCID: 0000-0003-1260-4840 <https://orcid.org/0000-0003-1260-4840> ResearcherID: C-2316-2011 <http://www.webofscience.com/wos/author/record/C-2316-2011> Google Scholar: GqHWF74AAAAJ <http://scholar.google.com.br/citations?user=GqHWF74AAAAJ> CV Lattes: 4609096963207702 <http://lattes.cnpq.br/4609096963207702>

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2 lecturer (assistant professor) in computer science posts available at Ulster University
by Wong-Lin, Kongfatt 26 Aug '23

26 Aug '23

https://www.jobs.ac.uk/job/DCF900/lecturer-in-computer-science https://www.ulster.ac.uk/about/jobs Salary: 7/8 (£39,369 - £56,054) Closing Date: 4th September 2023 at 23:59 Reference Number: 022187 The post holder will support the delivery of key areas of teaching and research in the discipline of Computing. They will contribute to the delivery of undergraduate and postgraduate degree programmes offered by the School of Computing, Engineering and Intelligent Systems, and undertake research in areas aligned with the Intelligent Systems Research Centre (ISRC). - ABOUT YOU - - Hold a Degree in Computer Science, Software Engineering or cognate discipline. - Hold a PhD in Computer Science, Software Engineering or cognate discipline. - Have evidence of an advanced level of knowledge and experience of Computing Science with specific experience in Artificial Intelligence and/or Computer Networks and/or IoT/Pervasive Computing and/or Games Development and/or Neurotechnology. The School of Computing, Engineering & Intelligent Systems holds a Silver Athena SWAN Award in recognition of our commitment to advancing Gender equality. You can read more about what this means on our University website. The University has a range of initiatives to support a family friendly working environment, including flexible working. The University is an equal opportunities employer and welcomes applicants from all sections of the community, particularly from those with disabilities. Appointment will be made on merit. This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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Tenure-track faculty position at Washington University in St Louis
by Goodhill, Geoffrey 26 Aug '23

26 Aug '23

ASSISTANT/ASSOCIATE PROFESSOR IN NEUROSCIENCE Washington University in St. Louis Department of Biology The Department of Biology at Washington University in St. Louis seeks a neuroscientist for a tenure-track position at the Assistant or Associate Professor level. The successful candidate will establish a research program focused on cutting-edge questions in developmental, cellular or systems neuroscience with particular interest in neuroethology, biologically-inspired artificial intelligence, evolution, or neural computation. The successful candidate will: join a vibrant neuroscience community; contribute to advising, mentoring, and teaching; and develop an externally funded and internationally recognized research program. These links provide more information about our department (biology.wustl.edu<https://biology.wustl.edu/>) graduate education (dbbs.wustl.edu<https://dbbs.wustl.edu/>), and WUSTL neuroscience community (neuroscienceresearch.wustl.edu<https://neuroscienceresearch.wustl.edu/>). Review of applications will begin October 2, 2023. Applications will be accepted until the search concludes. Diversity, equity, and inclusion are core values of the Biology Department and Washington University. Please provide a single pdf containing a cover letter, curriculum vitae, research statement, teaching statement, diversity statement, three papers, and the names and contact information for three references. Applications should be submitted through Interfolio (https://apply.interfolio.com/130284)

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Thalamus Anatomy and Connectomics Conference (October 30 – 31 in Tübingen)
by vin 25 Aug '23

25 Aug '23

Dear Esteemed Researchers, Greetings! We are thrilled to invite you to the upcoming Thalamus Anatomy and Connectomics Conference, funded by the SPP-2041. The conference aims to dive deep into the fascinating and intricate thalamus. This event promises to be an enriching experience, fostering discussions and collaborations. 📅 Date: October 30 – 31, 2023 📍 Location: Max Planck Campus Tübingen, Germany *Registration:* The conference is free of charge. The onsite-registration is limited to approx. 50 participants. Please apply. *https://www.tuebingen.mpg.de/thalamus <https://www.tuebingen.mpg.de/thalamus>* We look forward to welcoming you to an intellectually stimulating and inspiring conference. Kindest regards, Organizing Team Thalamus Anatomy and Connectomics Conference Vinod Kumar Max Planck Institute for Biological Cybernetics Tuebingen, Germany.

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Postdoctoral position in Computational Neuroscience
by Bazhenov, Maksim 25 Aug '23

25 Aug '23

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

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Job opportunity at the Gatsby unit, SWC and NeuroGEARS
by Joaquin Rapela 25 Aug '23

25 Aug '23

Hello list, We have an open position for a research software engineer (machine learning and neuroscience) in London (UK) at the Gatsby Unit, the Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC) and NeuroGEARS Ltd. Deadline: 25 August 2023 We invite applications for a Research Software Engineer (RSE) position with expertise in: . software development and/or . machine learning and/or . neural data analysis and/or . experimental control (ideally with the Bonsai ecosystem) to contribute to the recently funded project ``Machine Learning for Neuroscience Experimental Control'' https://gow.bbsrc.ukri.org/grants/AwardDetails.aspx?FundingReference=BB%2FW… The initial appointment will be for two years. Salary will be in the range of £50,085-£63,291; a competitive supplement may be offered to candidates who match well the knowledge, skills and experience required for this role. We offer the unique research environment of the Gatsby Unit, the SWC and NeuroGEARS, as well as an unparalleled learning experience. By interacting with our scientists and engineers you could acquire unique skills in computational neuroscience, statistical neural data analysis, machine learning, experimental neuroscience and research software engineering. For detailed information and how to apply, please visit the UCL Job Portal (Ref B02-05510): https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?jobId=13635. For informal inquiries about the position, please contact me at j.rapela ‘at’ ucl.ac.uk. Cordially, Joaquin

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Postdoc in computational olfaction/ ML / AI / Data Science
by Michael Schmuker 24 Aug '23

24 Aug '23

The Biocomputation group at the University of Hertfordshire is looking for a data scientist / ML / AI expert to join the interdisciplinary BioMachineLearning team working in computational olfaction. Whether your background is in computational neuroscience, neuromorphic computing, electronic noses, robotics, data wrangling, even cheminformatics: There is a project for you where you can bring your full expertise to blossom in a collaborative environment. Our lab is embedded in the Odor2Action Network (https://odor2action.org <https://odor2action.org/> ), a research consortium of 16 labs in the US, UK, and Canada, investigating how animals use odours to guide behaviour. There will be opportunities for travel to project meetings, conferences, etc. It is also possible to organise stays at one of our partner labs. We embrace flexible working, both in terms of working hours and the possibility to work from home (with the requirement to work from within the UK). Questions? Please do get in touch via email. More information about the job and how to apply is on the application form: https://www.jobs.herts.ac.uk/go/053215 Deadline 1st September! -- Dr Michael Schmuker AFHEA Professor of Neural Computation Biocomputation Group University of Hertfordshire http://biomachinelearning.net <http://biomachinelearning.net/>

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2 x Postdoctoral research fellowships Horizon Europe project PRIMI @ Sheffield Hallam University (UK)
by Di Nuovo, Alessandro 24 Aug '23

24 Aug '23

Sheffield Hallam University (UK) is advertising two positions to work on the Horizon Europe project PRIMI: Performance in Human Robot Interaction via Mental Imagery<https://cordis.europa.eu/project/id/101120727>, led by Professor Alessandro Di Nuovo (scientific coordinator). The project aims to create the next-gen humanoid robots with efficient computation, high cognition and autonomy, by synergistically combining interdisciplinary research development in neurophysiology, psychology, machine intelligence, cognitive mechatronics, neuromorphic engineering, and humanoid robotics. The PRIMI project seeks to create more capable interactive robots with advanced abilities, able to provide innovative and personalised services. Prototypes will be used in stroke rehabilitation studies. You will also join the Smart Interactive Technologies (SIT) research laboratory; a vibrant interdisciplinary group, led by Prof. Alessandro Di Nuovo, that conducts world-leading research on Artificial Intelligence and Robotics. The group is currently running several research projects worth over £2.5 million funding from the European Commission and UKRI. As a Senior Research Fellow, https://bit.ly/SnrResFellMachIntell, you are expected to work alongside the scientific coordinator of the PRIMI project, Prof. Di Nuovo, and support him in the high-level management of the project activities. It will also be your responsibility to carry out independent research as required by the project and provide leadership and support to the other staff, along with the supervision of a PhD student's research on the topics of the PRIMI project. It will be your responsibility to guarantee the delivery of research objectives, including the day-to-day management and implementation of the research tasks, e.g. design and carry-out neuro-robotic experiments, assist with data collection and perform both quantitative and qualitative analysis, develop and maintain open-source software, prepare high-quality scientific outputs, and present and organise at international events. As a Research Fellow https://bit.ly/ResFellNeuroRobot, you will carry out independent research as required by the project, provide leadership, and support the supervision of a PhD student researching on the topics of the PRIMI project. Under the mentorship of Prof. Di Nuovo, the research fellow will guarantee the delivery of the research objectives, including the day-to-day management and implementation of the research tasks, e.g. design and carry out neuro-robotic experiments, assist with data collection and perform both quantitative and qualitative analysis, develop and maintain open-source software, prepare high-quality scientific outputs, present and organise at international events. Please read the job information pack in the links above, which includes the full job description and person specification, available on our website for more details: https://www.shu.ac.uk/jobs/apply-for-jobs Alessandro Di Nuovo, PhD Professor of Machine Intelligence College of Business, Technology and Engineering Sheffield Hallam University, United Kingdom Email: a.dinuovo(a)shu.ac.uk<mailto:a.dinuovo@shu.ac.uk>

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Postdoctoral position at the Cluster for advanced study of collective behavior ( deadline 15th Sept 2023)
by Ahmed El Hady 24 Aug '23

24 Aug '23

Dear Colleagues, We are seeking a PostDoc with a quantitative background who has finished (or about to finish) a doctoral degree in a quantitative field preferably but not limited to physics. The candidate should show enthusiasm for tackling theoretical foundations of behavior. The PostDoc will join our interdisciplinary and international team studying social foraging in animal groups. The researcher will be based in the integrative biophysics group at the University of Konstanz and Max Planck Institute of Animal Behavior, located in Konstanz, Germany. The integrative biophysics group led by Dr. Ahmed Elhady is focused on theoretical and computational understanding of mechanisms underlying foraging. The group has an extensive network of local and international collaborators. Through those collaborations, the PostDoc researcher will have access to a large number of data sets depicting foraging behaviors in locusts, rodents, non-human primates (marmosets) and human performing similar social foraging tasks. The PostDoc project can potentially address the following questions: 1. What are the quantitative foraging decision strategies employed by a particular animal species during social foraging? 2. How does those decision strategies compare across animal species in a quantitative evolutionary manner? 3. How did evolutionary processes quantitatively shape foraging behaviours? 4. How can one extend social foraging theory to account for different group size and different spatial environmental constraints? For a glimpse of our research work , please check this talk given by the group leader Ahmed Elhady : https://www.youtube.com/watch?v=bRNnsgka0d0 For questions about the position and / or research of the integrative biophysics group, please do not hesitate to contact me via email : ahmed.el-hady(a)uni-konstanz.de The postdoc position will be embedded within the highly collaborative environment of the cluster for advanced study of collective behavior at the University of Konstanz. The expected starting date is 01/12/2023 and deadline for application is 15/09/2023. For more information and application , please visit the website :https://stellen.uni-konstanz.de/jobposting/4418ec7f80f7b2371d7a0e963fab434a58c726cd0 All the best regards, Ahmed elhady Dr. Ahmed Elhady Group leader Integrative biophysics group Cluster for Advanced Study of Collective Behavior Max Planck Institute of Animal Behavior Universitätsstraße 10, 78464 Konstanz Room ZT 907 Postbox 687 Tel.: +49 7531 88-4742

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10 days to submit your abstract for the fourth Canadian Computational Neuroscience Spotlight
by Scott Rich 23 Aug '23

23 Aug '23

Dear Comp-Neuro mailing list members, The fourth edition of the Canadian Computational Neuroscience Spotlight (CCNS) <https://ccnsmeeting.ca/#04-ccns-2023-program>, taking place October 5-6 online via Crowdcast (register here <https://www.crowdcast.io/c/ccnsv4>), is fast approaching, as is our first deadline for abstract submission for trainee talks. *To be considered for a spotlight presentation, submit your abstract <https://docs.google.com/forms/d/e/1FAIpQLSeev-EA5ccwKapzRV43xD4NfDYGyDeAiWp…> by September 1 at 5 p.m. EDT*; late abstracts will be accepted until September 13 at 5 p.m. EDT but will only be considered for parallel talks as space allows. As a point of clarification, *you do not need to be Canadian, or be located at a Canadian institution, to submit an abstract*: while the meeting's namesake comes from its original impetus in the early stages of the pandemic, we have fully embraced the international nature of virtual meetings, including in these trainee talks. We invite submissions from trainees at all levels, and anticipate that all submissions reasonably falling under the broad banner of "computational neuroscience" will be accepted unless the demand far exceeds our expectations. Please feel free to reach out to the organizing committee if you have any questions. Sincerely, The CCNS Organizing Committee: Scott Rich <http://scottrich.strikingly.com/>, Ph.D. Research Fellow, SickKids Research Institute. Andreea Diaconescu <https://cognemo.com/>, Ph.D. Independent Scientist, Krembil Center for Neuroinformatics at CAMH. John Griffiths <https://t.co/AlUQymEUae?amp=1>, Ph.D. Independent Scientist, Krembil Center for Neuroinformatics at CAMH. Milad Lankarany <https://sites.google.com/view/lnsbsp/home>, Ph.D. Scientist, Krembil Research Institute.

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One week left: Call for papers: Symposium on the Mathematics of Neuroscience. 28th Sept-1st Oct 2023, Rhodes, Greece
by Battleday, Ruairidh 21 Aug '23

21 Aug '23

Fourth International Symposium on the Mathematics of Neuroscience. 28th September - 1st October 2023, Old Town, Rhodes, Greece. —---------------- *One week left*: Call for papers —---------------- Thank you to everyone that has submitted so far! We invite submissions for this year’s conference on the mathematics of neuroscience: www.neuromonster.org In this exploratory symposium, we present and discuss general mathematical models of brain function. We give priority to those models that account for brain or behavioural data, or provide simulations to that effect. Submissions will be assigned to either a short talk, spotlight talk, or poster presentation. Keynote Speakers Professor Aapo Hyvärinen (University of Helsinki) Professor Janneke Jehee (Donders Institute) Professor Peter Latham (UCL) Session Chairs Biocomputation: Professor Dan V. Nicolau (King’s College London / Oxford) Probabilistic models: Dr Ruairidh McLennan Battleday (Harvard / MIT) Neurotheory: Dr James Whittington (Oxford / Stanford) Representational alignment: Dr Ilia Sucholutsky (Princeton) Confirmed Talks Professor Andrew Adamatzky (UWE) Professor Dan Nicolau Sr (McGill) Professor Bill Thompson (Berkeley) Professor Bradley Love (UCL) Professor Dr Thomas Parr (UCL) Dr Ilias Rentzeperis (SNRC) The symposium will be held virtually or in-person on the island of Rhodes, Greece from the 28th September - 1st October 2023 (www.neuromonster.org) Submission is by 250-word abstract before the 28th August 2023, emailed to the session chairs at battleday(a)thinkingaboutthinking.org, indicating the desired session. -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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short-term Post-doc opportunity: DCM for fMRI Cologne/Juelich, Germany
by Paola Mengotti 21 Aug '23

21 Aug '23

Dear colleagues, We are currently looking for a postdoctoral researcher who is interested in applying DCM to an existing fMRI dataset on prediction-dependent motor preparation and re-programming in younger and older volunteers. Further details can be found here: https://www.stellenwerk.de/koeln/jobboerse/postdoctoral-positionfmx-crc-145… <https://www.stellenwerk.de/koeln/jobboerse/postdoctoral-positionfmx-crc-145…>

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Postdoc position in light-field imaging
by Goodhill, Geoffrey 20 Aug '23

20 Aug '23

Postdoc position in the development of light field imaging technologies for recording neural activity The Goodhill lab at Washington University in St Louis is looking for a postdoc scientist for an NIH-funded project to develop novel microscopy methods for whole-brain calcium imaging in freely-behaving zebrafish. The ideal candidate will be experienced in building new optical imaging technologies, and interested in leveraging these skills to help push the frontiers of neural recording across large numbers of neurons simultaneously. Prior experience in neuroscience is not essential. The lab focuses on the computational principles underlying the development of neural circuits and behavior. The goal of this project is to construct light-field imaging techniques to record the activity of ~100,000 neurons in the larval zebrafish brain during unconstrained hunting behavior. This is a collaboration with Oliver Cossairt at Northwestern University and Florian Willomitzer at the University of Arizona, and you will be working with students and postdocs from a diverse array of backgrounds including biology, mathematics, physics and engineering. Washington University in St Louis is ranked in the top 10 institutions globally for Neuroscience and Behavior, and offers an outstanding intellectual environment for research in both neuroscience and imaging (see e.g. https://engineering.wustl.edu/academics/programs/imaging-science) The Goodhill lab will soon move along with over 100 other labs into Washington University's new start-of-the-art 600,000 sq ft Neuroscience Research Building (https://neuroscience.wustl.edu/research/neuroscience-building) For more information about St Louis see https://explorestlouis.com. To apply please send a detailed CV and cover letter explaining your interest to g.goodhill(a)wustl.edu. Review of applications will continue until the position is filled. Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 660 S. Euclid Avenue St. Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

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One more month to apply for postdoctoral position at the Cluster for Advanced study of Collective behavior
by Ahmed Elhady 15 Aug '23

15 Aug '23

Dear Colleagues, We are seeking a PostDoc with a quantitative background who has finished (or about to finish) a doctoral degree in a quantitative field preferably but not limited to physics. The candidate should show enthusiasm for tackling theoretical foundations of behavior. The PostDoc will join our interdisciplinary and international team studying social foraging in animal groups. The researcher will be based in the integrative biophysics group at the University of Konstanz and Max Planck Institute of Animal Behavior, located in Konstanz, Germany. The integrative biophysics group led by Dr. Ahmed Elhady is focused on theoretical and computational understanding of mechanisms underlying foraging. The group has an extensive network of local and international collaborators. Through those collaborations, the PostDoc researcher will have access to a large number of data sets depicting foraging behaviors in locusts, rodents, non-human primates (marmosets) and human performing similar social foraging tasks. The PostDoc project can potentially address the following questions: 1. What are the quantitative foraging decision strategies employed by a particular animal species during social foraging? 2. How does those decision strategies compare across animal species in a quantitative evolutionary manner? 3. How did evolutionary processes quantitatively shape foraging behaviours? 4. How can one extend social foraging theory to account for different group size and different spatial environmental constraints? For a glimpse of our research work , please check this talk given by the group leader Ahmed Elhady : https://www.youtube.com/watch?v=bRNnsgka0d0 For questions about the position and / or research of the integrative biophysics group, please do not hesitate to contact me via email : ahmed.el-hady(a)uni-konstanz.de The postdoc position will be embedded within the highly collaborative environment of the cluster for advanced study of collective behavior at the University of Konstanz. The expected starting date is 01/12/2023 and deadline for application is 15/09/2023. For more information and application , please visit the website :https://stellen.uni-konstanz.de/jobposting/4418ec7f80f7b2371d7a0e963fab434a58c726cd0 All the best regards, Ahmed Dr. Ahmed Elhady Group leader Integrative biophysics group Cluster for Advanced Study of Collective Behavior Max Planck Institute of Animal Behavior Universitätsstraße 10, 78464 Konstanz Room ZT 907 Postbox 687 Tel.: +49 7531 88-4742

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Submit your abstract for the fourth Canadian Computational Neuroscience Spotlight, happening virtually via Crowdcast
by Scott Rich 14 Aug '23

14 Aug '23

Dear Comp-Neuro mailing list members, The fourth edition of the Canadian Computational Neuroscience Spotlight (CCNS) <https://ccnsmeeting.ca/#04-ccns-2023-program> is now less than two months away (*October 5-6, fully online via Crowdcast*; register here <https://www.crowdcast.io/c/ccnsv4>). You can find out more information about our program at ccnsmeeting.ca, which will continue to be updated with details about the meeting as it approaches. We invite trainees at any level to submit abstracts <https://docs.google.com/forms/d/e/1FAIpQLSeev-EA5ccwKapzRV43xD4NfDYGyDeAiWp…>, and anticipate that all submissions reasonably falling under the broad banner of "computational neuroscience" will be accepted unless the demand far exceeds our expectations. Submissions that are both the most meritorious and best correspond with the themes of our sessions will be offered longer, "spotlight" presentations. *To be considered for a spotlight presentation, submit your abstract by September 1 at 5 p.m. EDT*; late abstracts will be accepted until September 13 at 5 p.m. EDT but will only be considered for parallel talks as space allows. Please feel free to reach out to the organizing committee if you have any questions. Sincerely, The CCNS Organizing Committee: Scott Rich <http://scottrich.strikingly.com/>, Ph.D. Research Fellow, SickKids Research Institute. Andreea Diaconescu <https://cognemo.com/>, Ph.D. Independent Scientist, Krembil Center for Neuroinformatics at CAMH. John Griffiths <https://t.co/AlUQymEUae?amp=1>, Ph.D. Independent Scientist, Krembil Center for Neuroinformatics at CAMH. Milad Lankarany <https://sites.google.com/view/lnsbsp/home>, Ph.D. Scientist, Krembil Research Institute.

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Call for papers: Symposium on the Mathematics of Neuroscience. 28th Sept-1st Oct 2023, Rhodes, Greece
by Battleday, Ruairidh 11 Aug '23

11 Aug '23

Fourth International Symposium on the Mathematics of Neuroscience. 28th September - 1st October 2023, Old Town, Rhodes, Greece. —---------------- Call for papers —---------------- We invite submissions for this year’s conference on the mathematics of neuroscience: www.neuromonster.org In this exploratory symposium, we present and discuss general mathematical models of brain function. We give priority to those models that account for brain or behavioural data, or provide simulations to that effect. Submissions will be assigned to either a short talk, spotlight talk, or poster presentation. Keynote Speakers Professor Aapo Hyvärinen (University of Helsinki) Professor Janneke Jehee (Donders Institute) Session Chairs Biocomputation: Professor Dan V. Nicolau (King’s College London / Oxford) Probabilistic models: Dr Ruairidh McLennan Battleday (Harvard / MIT) Neurotheory: Dr James Whittington (Oxford / Stanford) Representational alignment: Dr Ilia Sucholutsky (Princeton) Confirmed Talks Professor Andrew Adamatzky (UWE) Professor Dan Nicolau Sr (McGill) Professor Bill Thompson (Berkeley) Professor Bradley Love (UCL) Dr Thomas Parr (UCL) Dr Ilias Rentzeperis (SNRC) The symposium will be held virtually or in-person on the island of Rhodes, Greece from the 28th September - 1st October 2023 (www.neuromonster.org) Submission is by 250-word abstract before the 27th August 2023, emailed to the session chairs at battleday(a)thinkingaboutthinking.org, indicating the desired session.

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Scientific Data Engineer position at Berkeley Lab to work on Neurodata Without Borders
by Ryan Ly 11 Aug '23

11 Aug '23

Dear colleagues, The Computational Biosciences Group <https://crd.lbl.gov/divisions/scidata/computational-biosciences/> at Lawrence Berkeley National Lab in Berkeley, CA has an immediate opening for a Software and Data Engineer in the area of Data Management and Analysis with applications to bioscience research. The position is in support of the Neurodata Without Borders <https://www.nwb.org/> project, which develops methods for standardization, sharing, and analysis of neurophysiology data. The technologies developed will have broader applications to other science domains such as genomics, protein design, and other biological data, providing great opportunities for career growth. The overall objectives for this position are to develop new methods and software tools that enable scientific knowledge discovery using modern data management and machine learning technologies and advance the state-of-the-art in data-intensive analysis. This position will be part of an experienced team conducting R&D in the areas of FAIR data science and modern methods for data understanding. The candidate will be working as part of a multi-disciplinary team composed of computer scientists, data scientists, neuroscientists, and other domain biologists. For detailed information and how to apply, please see https://jobs.lbl.gov/jobs/scientific-data-engineer-5931 . Best, Ryan -- Ryan Ly Scientific Data Engineer Lawrence Berkeley National Laboratory 1 Cyclotron Road Mail Stop 59R4104 Berkeley, CA 94720 Email: rly(a)lbl.gov Pronouns: he/him

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Late breaking abstract submission: INCF Neuroinformatics Assembly 2023
by INCF 11 Aug '23

11 Aug '23

*INCF Neuroinformatics Assembly 2023* September 18-20 Virtual Abstract submission deadline: June 23 50% discount for INCF members <https://www.incf.org/join-incf/individuals> Late-breaking abstract submission is now open for INCF Neuroinformatics Assembly 2023! Submit your abstract: bit.ly/INCF2023abstracts Join us for Assembly, hosted once again on the Gather platform! Our annual Assembly is a unique venue where neuroscience researchers, tool developers, standards developers, and infrastructure providers can meet with potential collaborators and hear about the latest advancements in neuroinformatics and FAIR neuroscience. Register: bit.ly/Assembly2023reg Learn more: bit.ly/INCF2023Assemblyblog

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Postdoctoral position in systems neuroscience - freely moving optophysiology - University of Bonn, Germany - Circuit Mechanisms of Behavior Lab
by Rose, Prof. Tobias 10 Aug '23

10 Aug '23

Dear all, Our research group “Circuit Mechanisms of Behavior” at the University Hospital Bonn (lab Tobias Rose) invites applications for a full-time (38.5 hours/week) position as: Postdoctoral Researcher (m/f/d): Detailed description: <https://www.nature.com/naturecareers/job/12803739/postdoctoral-researcher-m…> Postdoctoral Researcher (m/f/d) - Bonn, Nordrhein-Westfalen (DE) job with Universitätsklinikum Bonn | 12803739<https://www.nature.com/naturecareers/job/12803739/postdoctoral-researcher-m…> nature.com<https://www.nature.com/naturecareers/job/12803739/postdoctoral-researcher-m…> [favicon.ico] <https://www.nature.com/naturecareers/job/12803739/postdoctoral-researcher-m…> Closing date: 31st of August 2023 Start date: flexible Contact: Tobias Rose, Tobias.Rose(a)ukbonn.de The selected candidate will investigate the "Encoding of Landmark Stability and Stability of Landmark Encoding”: You will study visual landmark encoding at the intersection of hippocampal, thalamic, and cortical inputs to retrosplenial cortex. You will use cutting-edge miniature two-photon Ca2+ imaging (https://tinyurl.com/mini2pCA1) enabling you to longitudinally record activity in defined, large neuronal populations and long-range afferents in freely moving animals. You will carry out rigorous neuronal and behavioral analyses within the confines of automatized closed-loop tasks tailored for visual navigation. This will involve the application of advanced tools for dense behavioral quantification, including multi-angle videography, inertial motion sensing, and egocentric recording with head-mounted cameras for the reconstruction of retinal input. Our aim is to gain a comprehensive understanding of the immediate and sustained multi-area neuronal representation of visual landmarks during unrestricted behavior. We aim to elucidate the mechanisms through which stable visual landmarks are encoded and the processes by which these representations are stabilized to facilitate robust allocentric navigation. Ideal candidates for this position should hold a doctorate in neuroscience, engineering, physics, or a related discipline, and should be deeply committed to rigorous neuroethology and technical development. We seek individuals with a "tinkering spirit", i.e., a strong penchant for problem-solving and creativity. Essential competencies include the demonstrated ability to design and carry out complex neuroscience experiments, robust programming capabilities, and a foundational knowledge of machine learning methodologies. Valuable experience would include a familiarity with rodent behavior, both in freely moving and head-fixed contexts. Although not mandatory, a background in visual neuroscience or navigation neuroscience would be viewed favorably. We are looking for a driven candidate with a solid record of accomplishment who is enthusiastic about interdisciplinary research. The successful candidate will be prepared to bring their skills and experience to our innovative and collaborative research environment. While this role is tailored towards a specific project, we are equally enthusiastic about supporting the development of your individual research pursuits. Applicants should send their application in a single pdf file, including a cover letter explaining your research interests and motivation for joining the team, CV, and contact information for two references. Applications will be shortlisted based on the above selection criteria. Please send your formal application to Prof. Tobias Rose via email until 31.08.2023. The Expected start date is September 2023 or at the earliest possible date thereafter. Informal enquires about the post are welcome. For more information on our research, please visit www.troselab.de (mastodon: @trose_neuro@neuromatch.social, twitter: @trose_neuro). -- Prof. Dr. Tobias Rose Circuit Mechanisms of Behavior Institute of Experimental Epileptology and Cognition Research University of Bonn Medical Center Life and Brain Center (Building 76) Venusberg-Campus 1 53127 Bonn Tel.: +49-228-6885 331 www.troselab.de<http://www.troselab.de/> ________________________________ Vorstand: Univ.-Prof. Dr. Dr. h.c. mult. Wolfgang Holzgreve, MBA, Vorstandsvorsitzender und Ärztlicher Direktor • Clemens Platzköster, Kaufmännischer Direktor und Stellv. Vorstandsvorsitzender • Univ.-Prof. Dr. Bernd Weber, Dekan der Med. Fakultät • Univ.-Prof. Dr. Alexandra Philipsen, Stellv. Ärztliche Direktorin • Alexander Pröbstl, Vorstand Pflege und Patientenservice • Aufsichtsratsvorsitzender: Univ.-Prof. Dr. Heinz Reichmann • Gerichtsstand Bonn • Finanzamt Bonn Innenstadt • USt-IdNr.: DE811917555 • Bankverbindung: Sparkasse KölnBonn • BIC COLSDE33 • IBAN DE52 3705 0198 0010 6506 61

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*Deadline extended* INCF Short Course: Introduction to Neuroinformatics
by INCF 10 Aug '23

10 Aug '23

**Deadline extended* INCF Short Course: Introduction to Neuroinformatics* In coordination with the University of Washington and the West Big Data Innovation Hub October 2-4 Seattle, Washington, US Application deadline: August 31 50% discount for INCF members <https://www.incf.org/join-incf/individuals>! Registration has been extended for this Short Course on Neuroinformatics! This course will teach neuroscientists and researchers from related fields about neuroinformatics: the science & engineering of brain data. Speakers include: - Maryann Martone, University of California San Diego - Matthew Glasser, Washington University School of Medicine in St. Louis - Ariel Rokem, University of Washington - Ashley Juavinett, University of California, San Diego - Franco Pestilli, University of Texas at Austin - Yaroslav Halchenko, Dartmouth College, Center for Open Neuroscience - Dimitri Yatsenko, DataJoint ...and more! Topics covered include: - AI & machine learning - How to write a data management plan - Neuroethics, data governance, & international data sharing - Data science & reproducibility - Neuroinformatics - Neuroscience & neuroanatomy ...and more! Learn more: bit.ly/INCFcourse2023 Register here: bit.ly/INCFcourse2023reg

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1st EBRAINS National Node Germany Workshop ***26.09.2023 in Berlin, Germany***
by Frings, Maren 10 Aug '23

10 Aug '23

Dear Colleagues, We would like to kindly invite you to participate the 1st EBRAINS National Node Germany Workshop which will take place on September 26, 2023 in Berlin from 09:00-13:30 CET. Guest Speakers: Dr. Seán Froudist-Walsh, University of Bristol Prof. Dr. Thomas Wachtler, Ludwig-Maximilians-University Munich Prof. Dr. Lena Oden, FernUni Hagen & FZ Jülich Prof. Dr. Bryan Strange, Technical University Madrid Dr. Andreas Rowald, Friedrich Alexander University Erlangen-Nürnberg Prof. Dr. Petra Ritter, Charité Universitätsmedizin Berlin Prof. Dr. Thanos Manos, Cergy Paris University For further details and for registration please browse to our <https://flagship.kip.uni-heidelberg.de/jss/HBPm?m=SgD&mI=254> event website. The EBRAINS National Node Germany (NNG) invites to the 1st EBRAINS NNG Workshop as a back-to-back event of the Bernstein Conference 2023 in Berlin, Germany. You will hear about the EBRAINS RI, its usage, an Expert Discussion on Digital tools to bridge the gap between experimental and computational neuroscience and will have the opportunity to network during our NNG lunch. <https://ebrains.eu> EBRAINS is a unique digital Research Infrastructure (RI), created by the EU-funded Human Brain Project. It is an open platform providing an extensive range of data and tools to enhance brain-related research. EBRAINS is a pan-European distributed network of services, that will in the future be organized through National Nodes. The <https://www.ebrains.eu/national-nodes/germany> EBRAINS NNG currently encompasses about 40 universities and research institutions across Germany joining forces to develop a common scientific and technical strategy, addressing the major scientific challenges of our time. The EBRAINS NNG partners offer unique services, including science liaison activities, for basic neuroscience, medical applications, and industry in the fields of: * High-Performance Computing * Neuromorphic Computing * Artificial Intelligence * Simulation * Robotics * Information privacy and security Programme Committee: Nicola Palomero-Gallagher, Petra Ritter, Fabrice Morin, Francesca Cavallaro, Björn Kindler, Sandra Diaz, Maren Frings In case of further questions please dont hesitate to contact ebrains-nng(a)fz-juelich.de <mailto:ebrains-nng@fz-juelich.de> Kind regards Maren Frings on behalf of the Programme Committee Dr. Maren Frings Project Manager, EBRAINS National Node Germany Jülich Supercomputing Centre Institute for Advanced Simulation Tel +49 2461 61-6431 Fax +49 2461 61-6656 <http://www.fz-juelich.de/ias/jsc> www.fz-juelich.de/ias/jsc ------------------------------------------------------------------- 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.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens, Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior -------------------------------------------------------------------

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Integrative Biophysics Group Opportunities
by Ahmed Elhady 06 Aug '23

06 Aug '23

The Integrative Biophysics group (https://twitter.com/IntBioPhysics ) headed by Dr. Ahmed Elhady at the Cluster for Advanced study of collective behavior in the university of Konstanz , focuses on understanding theoretical foundations of biophysical phenomena from excitability up to social foraging. The group is part of the Cluster for Advanced Study of Collective behavior. We are a *Cluster of Excellence* within the Excellence Strategy of the German Federal and State Governments. Being a cooperation between the University of Konstanz and the Max Planck Institute of Animal Behavior, we use the extensive expertise in the region to create an interdisciplinary environment for the study of collective behaviour that is unique worldwide. "The Centre for the Advanced Study of Collective Behaviour" is dedicated to the study of collective behaviour across a variety of species and across different organizational levels. For more information on the Cluster of Excellence, please visit: Collective Behaviour | exc.uni-konstanz.de <https://www.exc.uni-konstanz.de/collective-behaviour/>. There are several opportunities to do research with us at the Integrative Biophysics group : 1. Postdoctoral position focused on theoretical analysis of social foraging involving theoretical modeling and advanced data analysis ( deadline: September 15th) . For more details , please check this : https://stellen.uni-konstanz.de/jobposting/4418ec7f80f7b2371d7a0e963fab434a… 2. Postdoctoral fellowships: we are very happy to discuss potential fellowship proposals relating to theoretical biophysics of collectives ( from cells to animals) that we can host in our group. Get in touch to discuss your ideas ! 3. University of Konstanz offers this unique independent postdoctoral fellowship ( deadline: October 10th), check it out here: https://www.uni-konstanz.de/zukunftskolleg/fellowships/postdoctoral-fellows… . If you are granted this fellowship, you can have a collaboration with us at the Integrative biophysics group. To get in touch and discuss ideas and potential projects, please email Dr. Ahmed elhady at : ahmed.el-hady(a)uni-konstanz.de All the best regards, Ahmed Elhady Dr. Ahmed El Hady Research Group Leader Cluster for Advanced Study of Collective Behavior Max Planck Institute of Animal Behavior Universitätsstraße 10, 78464 Konstanz Room ZT 907 Postbox 687 Tel.: +49 7531 88-4742

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Re: ChatSOME: A neural model of how children learn language meanings
by Grossberg, Stephen 05 Aug '23

05 Aug '23

Dear Comp-Neuro colleagues, I am writing to call your attention to an article that I just published Open Access which is relevant to many current themes in neural modeling: Grossberg, S. (2023). How children learn to understand language meanings: A neural model of adult–child multimodal interactions in real-time. Frontiers in Psychology, August 2, 2023. Section on Cognitive Science, Volume 14. https://doi.org/10.3389/fpsyg.2023.1216479 Here is its Abstract: ++++++++++++++++++++++ This article describes a biological neural network model that can be used to explain how children learn to understand language meanings about the perceptual and affective events that they consciously experience. This kind of learning often occurs when a child interacts with an adult teacher to learn language meanings about events that they experience together. Multiple types of self-organizing brain processes are involved in learning language meanings, including processes that control conscious visual perception, joint attention, object learning and conscious recognition, cognitive working memory, cognitive planning, emotion, cognitive-emotional interactions, volition, and goal-oriented actions. The article shows how all of these brain processes interact to enable learning of language meanings to occur. The article also contrasts these human capabilities with AI models like ChatGPT. The current model is called the ChatSOME model, where SOME abbreviates Self-Organizing Meaning. +++++++++++++++++++++++++++++++++ These contributions build upon results that are described in my recently published Magnum Opus: Conscious Mind, Resonant Brain: How Each Brain Makes a Mind https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552 that I wrote to be self-contained and non-technical in a conversational style for the general public. Best, Steve Stephen Grossberg Wang Professor of Cognitive and Neural Systems Director, Center for Adaptive Systems Emeritus Professor of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering Boston University sites.bu.edu/steveg/ steve(a)bu.edu<mailto:steve@bu.edu> http://en.wikipedia.org/wiki/Stephen_Grossberg http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en https://sites.bu.edu/steveg/files/2021/08/Grossberg-CV-8-14-21.pdf https://youtu.be/9n5AnvFur7I https://www.youtube.com/watch?v=_hBye6JQCh4

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ESI SyNC 2023: September 14 - 15
by El Mahmoudi, Nada 04 Aug '23

04 Aug '23

[https://www.esi-frankfurt.de/img/esisync/esisync2023_header.jpg] Linking hypotheses: where neuroscience, computation, and cognition meet Dear Neuroscientists, We are happy to announce that the Ernst Strüngmann Institute Systems Neuroscience Conference (ESI SyNC) 2023 will take place in-person and online this year, on September 14 and 15 at the Ernst Strüngmann Institute in Frankfurt, Germany. This year’s topic is: Linking hypotheses: where neuroscience, computation, and cognition meet. Eleven speakers will discuss their research and views on the intersection of systems, behavioral, and computational neuroscience from a wide array of viewpoints: from basic network interactions in the brain probed at the electrophysiological and mechanistic levels, to complex animal behavior and cognition. This year’s conference is an outstanding platform bringing together sub-fields in the neurosciences that find themselves, regrettably often, treated in isolation. Young researchers will have the opportunity to exchange ideas and raise questions in formal and informal discussions. There will also be a poster session in person for which we welcome submissions. This conference is free for online participants and researchers in Frankfurt am Main. Registration Link: https://survey.academiccloud.de/index.php/763913?lang=en List of speakers: https://www.esi-frankfurt.de/newevent/ Best Regards, ESI-Sync Organizing Committee

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Postdoc position in computational systems neuroscience, Voigts Lab, Janelia
by Voigts, Jakob 03 Aug '23

03 Aug '23

The Voigts Lab at HHMI Janelia Research Campus is recruiting postdocs to work on how neocortex learns and applies models of the world to enable complex cognitive abilities. We will study flexible cognition by examining naturalistic behaviors that require animals to perform sequential computations, yet are learned quickly. We'll be able to throw whatever technology is needed at the problem of combining sufficient measurements with complex naturalistic behavior in mice, e.g. large-scale electrophysiology or calcium imaging, unrestrained behavior in large complex environments, closed-loop manipulations, circuit reconstruction, etc., but more importantly we'll work on the challenge of modeling, analyzing, and ultimately learning from data when there are no strictly repeated trials to average over. The postdoc position could focus on experimental and/or computational approaches to these questions, depending on the interests and experience of the candidate. We're part of the new Mechanistic Cognitive Neuroscience research area at Janelia. Postdocs will have access to an unusual amount of resources and support, allowing us to make rapid progress on these challenging questions. We'll also work closely with experimental, theoretical, methods, and machine learning researchers in- and outside of Janelia to make this research program possible, collaborative, and fun. Our lab website is https://www.voigtslab.org<https://www.voigtslab.org/>. To apply, please send a brief statement of research interests and CV to voigtsj(a)janelia.hhmi.org<mailto:voigtsj@janelia.hhmi.org>

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Two postdoc positions in neuroAI
by Rui Ponte Costa 02 Aug '23

02 Aug '23

Dear all, We are seeking to appoint two Postdoctoral Research Scientists to join the Neural and Machine Learning Group part of the world-class Oxford Neuroscience and the Oxford Neurotheory initiative. You will carry out research at the intersection between computational neuroscience and machine learning, closely informed by experimental observations. More details here: shorturl.at/hkwG3<https://t.co/d7ugbOLFDV> and of our group: neuralml.github.io<https://neuralml.github.io/> Best wishes, Rui Ponte Costa Group Leader, Neural and Machine Learning group<https://neuralml.github.io/> Centre for Neural Circuits and Behaviour | Oxford Neurotheory Department of Physiology, Anatomy and Genetics Department of Experimental Psychology (honorary member) University of Oxford, UK

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[Job][PhD] at Inria Bordeaux, FR: From Reservoir Transformers to BrainGPT
by Xavier Hinaut 02 Aug '23

02 Aug '23

PhD position available at Inria, Bordeaux, France: "From Reservoir Transformers to BrainGPT" # Keywords Transformers; Reservoir Computing; Computational Neuroscience # Duration & start date 3 years starting 1st October 2023 (estimated) # Contact & Application Informal contact/questions and application: email to xavier dot hinaut at inria dot fr Application & More info: https://recrutement.inria.fr/public/classic/en/offres/2023-06611 All positions available: https://github.com/neuronalX/phd-and-postdoc-positions Deadline: Applications will be considered on a rolling basis. A candidate will be selected as soon as a suitable profile is found. # Context This PhD thesis is part of the BrainGPT "Inria Exploratory Action" project. In the wake of the emergence of large-scale language models such as ChatGPT, the BrainGPT project is at the forefront of research in Artificial Intelligence and Computational Neuroscience. These models, although remarkably powerful, do not reflect the way in which our brains process and learn language. BrainGPT is rising to the challenge by focusing on the development of models that are more faithful to human cognitive functioning, inspired by data on brain activity during listening or reading. The ambition is to create more efficient models that are less dependent on intensive calculations and massive volumes of data. BrainGPT will open up new perspectives on our understanding of language and cognition. # Project and Work description The rapid rise in performance of language models, as demonstrated by the recent appeal of ChatGPT, is undeniable. However, the computational cost and environmental impact associated with such models are often overlooked [1]. These models rely on Transformers [2], which facilitate unsupervised learning on a large volume of data. These same models are used to predict brain activity from functional magnetic resonance imaging (fMRI) or magnetoencephalography (MEG), an application our team also exploits [3]. The main ambition of the BrainGPT project is to combine the explainability of mechanistic models with the predictive power of Transformers to analyze brain imaging data. Today, on the one hand we have explanatory but less predictive mechanistic models, such as those based on Reservoir Computing, and on the other hand, high-performance predictive models, but not explanatory, like Transformers. Our goal is to combine the best of these two approaches, to develop more efficient ("sample efficient") models inspired by Transformers, which more faithfully reflect the how the brain works, while improving the predictive power of mechanistic models. Towards this ambition, the BrainGPT project seeks to identify the key mechanisms that allow Transformers to predict brain activity. Furthermore, our project strives to build models that are more biologically plausible than Transformers, incorporating the most relevant components for predicting brain activity, while integrating constraints derived from human cognition studies. The long-term objectives of the BrainGPT project are as follows: - Making Transformers more biologically plausible, which could improve the prediction of brain activity by imaging (fMRI, MEG, etc.). - Proposing new perspectives and computing paradigms that do not rely exclusively on gradient backpropagation, given its high computational and energy cost. - Reducing the energy footprint of Transformers by minimizing the computational costs associated with their learning. In summary, the thesis will mainly consist of developing new bio-inspired models inspired by the mechanisms, learning methods, and emerging behaviors of Large Language Models (LLMs) and Transformers. Subsequently, in collaboration with our collaborators, these models will be tested to assess their ability to predict brain activity from imaging data. [1] Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021, March). On the dangers of stochastic parrots: Can language models be too big?🦜. In Proc. of the 2021 ACM conference on fairness, accountability, and transparency (pp. 610-623). [2] Vaswani, A. et al. (2017) Attention is all you need. In Proc. of Advances in neural information processing systems. [3] Oota, S. R., Trouvain, N., Alexandre, F., & Hinaut, X. (2023, August). MEG Encoding using Word Context Semantics in Listening Stories. In Proc. of INTERSPEECH 2023. # Skills Ideal Candidate Profile: - Holds an engineering or scientific degree and/or a PhD in digital sciences (computer science, automation, signal processing). - Has a first professional experience (6 months of internship or more) in Machine Learning and Python development. Especially in one or more of the following: Recurrent Neural Networks (in particular Reservoir Computing), Transformers, Large Language Models. - Possesses strong expertise in the scientific Python software and scientific stack (numpy/scipy). - Demonstrates a solid grasp of linear algebra concepts. - Proficiency in technical English is crucial, as it enables efficient collaboration with our international partners and effective presentations at conferences. - Has proven experience with version management, familiarity with Git, and proficiency in using the GitHub platform. # Advisor & Location Xavier Hinaut Inria Bordeaux & Institute for Neurodegenerative diseases (Pellegrin Hospital Campus, Bordeaux). Best regards, Xavier Hinaut Inria Research Scientist www.xavierhinaut.com -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en --- Our Reservoir Computing library: https://github.com/reservoirpy/reservoirpy

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[JOBS] Tenure Track Assistant Professor Intelligent Systems @ Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence at the University of Groningen, the Netherlands.
by Kerstin Bunte 02 Aug '23

02 Aug '23

Tenure Track Assistant Professor Intelligent Systems https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… Closing date = 17-9-2023 We offer a Tenure Track Assistant Professor position with a research profile in Intelligent Systems within the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence at the University of Groningen, The Netherlands. Intelligent Systems aim to give computers and cyber-physical systems the abilities to perceive, analyze and learn from data, make decisions, and enhance human capabilities. The research area has experienced tremendous growth in recent years, especially due to the increase in incorporation of intelligent systems into nearly every aspect of our lives. The societal relevance of sustainability, efficiency, robustness, understanding and guarantees of algorithms is gaining more and more importance, not only in software but also in combination with cyber-physical systems. Relevant aspects are: the theory of machine learning, artificial intelligence and the mathematics of computing (ACM Computing Classification System, 2012 Revision). For this position, possible research directions include (but are not limited to) the theory and application of novel machine learning and artificial intelligence methods with an emphasis on solving pressing open questions, such as efficiency, transparency and interpretability, fairness, the integration of multi-modal and complex heterogeneous data, causal inference, continuous machine learning, generative and dynamic systems. Complex problems demand an increasing amount of interdisciplinary and cross-domain knowledge. Therefore, backgrounds in information theory, probabilistic representations, causality and computational geometry are also welcome to apply. As Assistant Professor with a focus on research, you will: - set up and develop your own research line and research group - supervise PhD students - acquire external funding - promote the societal relevance of your research - teach in and contribute to the development of the degree programs of the School of Science and Engineering, especially courses with computing science content - contribute to the organization of the faculty, for example by participating in working groups and committees, in the domains of teaching, research and management. The position will be embedded in the Intelligent Systems research unit. Our research areas include biologically inspired computational modeling, the theory of machine learning and algorithmic development, as well as image processing with mathematical morphology, machine learning and AI. National and international research collaborations span a multitude of application domains, including medical sciences and health care, natural sciences (astronomy, bioinformatics), remote sensing, computer vision, robotics, smart industry and engineering. About the University of Groningen Since its foundation in 1614, the University of Groningen has enjoyed an international reputation as a dynamic and innovative center of higher education offering high-quality teaching and research. Balanced study and career paths in a wide variety of disciplines encourage currently more than 37,000 students and researchers to develop their own individual talents. Belonging to the best research universities in Europe and the top 100 universities in the world, the University of Groningen is truly an international place of knowledge. More information can be found at: https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… Kind regards, Kerstin -- Kerstin Bunte, Associate Professor | Rosalind Franklin Fellow Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence Faculty of Science and Engineering University of Groningen P.O. Box 407, 9700 AK Groningen The Netherlands Email: k.bunte(a)rug.nl web: http://www.cs.rug.nl/~kbunte/

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Advanced Electrophysiology Post-doc Position Available - Interventional Psychiatry Program, Minneapolis, MN, USA
by Hiba Sheheitli 01 Aug '23

01 Aug '23

*About the Job* Dr. Ziad Nahas (Interventional Psychiatry Lab) in the University of Minnesota Department of Psychiatry and Behavioral Sciences is seeking an outstanding candidate for a postdoctoral position to conduct and analyze the effects of neuromodulation on brain activity in mood disorders. Candidates should be passionate about advancing knowledge in the area of translational research of depressive disorders and other mental health conditions with a focus on invasive and non-invasive brain stimulation treatments. The position is available June 1, 2023, and funding is available for at least two years. *Qualifications* Required Qualifications: ●PhD in relevant field (neuroscience, psychology, cognitive science) ●Strong programming and/or data analysis skills. MATLAB or Python is essential. C/C++ (and derivatives), LabVIEW, and scripting languages could be useful. Prior experience with data acquisition hardware including behavioral as well as EEG would be helpful. Proficiency with Microsoft Office software ●Experience with neurophysiology (human or animal), psychophysics and/or brain stimulation is ideal. ●Excellent verbal and written communication skills, with specific documentation of those skills through published work and oral scientific presentations. ●Demonstrated ability to work independently and to independently overcome complex technical challenges. ●Interpersonal skills appropriate for collaboration in a very multidisciplinary and highly diverse environment. Preferred Qualifications: •Previous experience with psychiatric patient populations, the biological mechanisms of mental illness, and/or medical device development. •Signal processing and/or computer science background. •Previous experience with human functional imaging or electrophysiology. *About the Department* Dr. Ziad Nahas’s Lab is located primarily at the Interventional Psychiatry Program’s St. Louis Park clinic, with additional study activity at UMN and M Health Fairview sites on the UMN campus. Our work focuses on advancing translational research of mood dysregulation and depressive disorders. Specific interests and areas of expertise include: ● Improving patient care of treatment resistant disorders using neuromodulation techniques. ● Functional neuroimaging (fMRI), electroencephalography (EEG) and brain stimulation modalities: Transcranial magnetic stimulation (TMS), transcranial alternating current stimulation (tACS), vagus nerve stimulation (VNS), prefrontal cortical stimulation (PCS), deep brain stimulation (DBS), electroconvulsive therapy (ECT) and focal electrically administered seizure therapy (FEAST). ● Increasing equitable access to neuromodulation interventions for patient care. To learn more about Dr Ziad Nahas and the Department of Psychiatry & Behavioral Sciences, please visit: https://med.umn.edu/bio/psychiatry/ziad-nahas *Apply here: * https://hr.umn.edu/Jobs/Find-Job <https://hr.umn.edu/Jobs/Find-Job> (Click on External Candidates and search for 355003 to find the Job Posting)

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NeurIPS Workshop "Information-Theoretic Principles in Cognitive Systems"
by Rava A. da Silveira 30 Jul '23

30 Jul '23

NeurIPS Workshop: "Information-Theoretic Principles in Cognitive Systems" CALL FOR PAPERS Website (with submission information): https://sites.google.com/view/infocog-neurips-2023/call-for-papers Contact: infocog.neurips2023(a)gmail.com Important Dates: * Paper submission deadline: September 20, 2023 * Author notification: October 27, 2023 * Camera ready deadline: November 27, 2023 The second InfoCog@NeurIPS workshop aims to further the understanding of information flow in cognitive processes and neural networks models of cognition by bringing together researchers from multiple disciplines, including machine learning, cognitive science, neuroscience, and information theory. This is the second workshop of this kind in NeurIPS. This year the workshop will continue last year’s community-building momentum and will additionally focus on advancing two main goals: First, providing a fruitful platform for discussing formulations of storage and processing of information in human and artificial cognitive systems, via information-theoretic measures. Specifically, we aim to further integrate information theory researchers in such discussions, deepening the mathematical knowledge and tools shared across disciplines. [NZ1] Second, facilitating research on addressing the challenges of computing information theoretic quantities, specifically for the needs of cognitive science and machine learning. We invite short submissions (up to 4 pages – NeurIPS format) that present original work related to information theory and cognitive systems, and particularly encourage submissions of collaborative interdisciplinary work. Examples of specific topics of interest include but are not limited to: * Novel information-theoretic approaches to cognitive functions (e.g., perception, decision making, language, social reasoning, etc.) * Method and approaches for the validation of information theoretic formalisms in human and artificial cognition * Novel methods and approaches for the computation and/or estimation of information theoretic quantities and their applications to human and artificial cognition * Challenges and limitations of the use of information theory in studying cognitive systems * Application of information theory to training human-aligned artificial agents, i.e., agents that can better communicate and cooperate with humans All accepted papers will be presented in a poster session during the workshop, and a number of papers will also be selected for an oral presentation. We expect to have limited resources to offer financial aid to selected participants. More details will follow upon acceptance.

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Postdoc in computational modeling at Stanford Cognitive & Systems Neuroscience Lab
by Mai-Phuong K Bo 27 Jul '23

27 Jul '23

The Stanford Cognitive and Systems Neuroscience Laboratory (scsnl.stanford.edu) invites applications for a postdoctoral fellowship in human brain network analysis and modeling. We seek candidates with strong research backgrounds in one or more of the following areas: resting-state and task-evoked fMRI connectivity, structural HARDI-based connectivity, neurophysiological modeling of brain networks, Bayesian modeling, machine learning, and deep neural networks. Candidates must have strong computational skills and a PhD in computational neuroscience, computer science, physics, biomedical engineering or related fields. This is an exciting opportunity to work on multiple NIH- and Stanford-funded projects using multimodal (fMRI, optogenetic, DTI, EEG) brain imaging techniques in multiple clinical populations and normative groups. The successful candidate will develop a vigorous research program that contributes to, and complements, ongoing research studies. The candidate will have access to state-of-the-art brain imaging and HPC/GPU facilities.  Please email a CV, statement of research interests and relevant background, and have three letters of reference sent to Prof. Vinod Menon at  scsnl.stanford+postdoc(a)gmail.com<mailto:scsnl.stanford@gmail.com> Mai-Phuong Bo (She/Her) Lab & Recruitment Manager Stanford Cognitive & Systems Neuroscience Lab Department of Psychiatry & Behavioral Sciences Email: maipbo(a)stanford.edu [cid:93b74359-266e-493c-9def-d9fb37f515df]

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PhD position at the TU Delft at the crossroads of machine learning and hardware design
by justin＠dauwels.com 27 Jul '23

27 Jul '23

Dear colleagues, We are looking for a highly motivated Ph.D. candidate with a background in machine learning and/or in electrical engineering for a project at the TU Delft at the crossroads of machine learning and hardware design. Building autonomous agents that can reliably compute and take decisions in noisy and uncontrolled environments is among the top research areas in today's artificial intelligence (AI). Yet, doing so within constrained power budgets for battery-operated edge devices is currently an open challenge. Indeed, while current cutting-edge deep-learning approaches can now reach acceptable performance in such environments, they are still subject to adversarial attacks and need a backend of GPU clusters, thereby requiring 4 to 6 orders of magnitude more power than is allowed for by the edge power budgets. On both ends of the spectrum of learning algorithms are the error backpropagation algorithm, i.e. the workhorse of modern deep learning, and local Hebbian learning rules, which are inspired by the brain's synaptic plasticity mechanisms. The former offers excellent performance but its energy/memory footprint is incompatible with low-power edge devices, while the latter allows for low-cost hardware implementations but can hardly be deployed beyond toy problems. In this PhD project, you will tackle this challenge by: * developing a theoretical framework that will allow exploring and generating, in a use-case-driven fashion, emerging learning algorithms that combine the strengths of local brain-inspired learning and backprop, * with a hardware/algorithm co-design approach, developing custom neuromorphic silicon prototypes (digital, then mixed-signal) for the proposed learning rules * investigating the deployment of these adaptive prototypes in resource-constrained use cases at the edge, such as brain implants for seizure detection. This project is a collaboration between Dr. Charlotte Frenkel (neuromorphic hardware, hardware/algorithm co-design, brain-inspired machine learning) and Dr. Justin Dauwels (Bayesian machine learning, computational neuroscience, biosignal processing). About the Department of Microelectronics at TU Delft: https://microelectronics.tudelft.nl/ About the CogSys research lab: https://ei.et.tudelft.nl/Research/theme.php?id=63 The expected starting date is 01/11/2023 and deadline for application is 01/09/2023. For more information and to apply, please visit this website <https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details? jobId=13043&jobTitle=PhD%20Position%20in%20Bio-plausible%20Local%20Learning% 20Rules%20for%20Adaptive%20Neuromorphic%20Hardware> . Greetings, Justin. _______________________________________________________________ Justin Dauwels j.h.g.dauwels(a)tudelft.nl <mailto:j.h.g.dauwels@tudelft.nl> Associate Professor http://cas.tudelft.nl/ Fac. EEMCS Section Circuits and Systems Mekelweg 4 2628 CD Delft, The Netherlands _____________________________________________________________________

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SUBMIT YOUR WORK TO COMPLEX NETWORKS 2023 BEFORE SEPT. 02, 2023
by Hocine Cherifi 26 Jul '23

26 Jul '23

*12* *th **International Conference on Complex Networks & Their Applications* Menton Riviera <https://www.menton-riviera-merveilles.co.uk/>, France November 28 - 30, 2023 COMPLEX NETWORKS 2023 <https://complexnetworks.org/> You are cordially invited to submit your contribution until *September 02, 2023*. *SPEAKERS* · Michael Bronstein <https://www.cs.ox.ac.uk/people/michael.bronstein/> University of Oxford UK · Kathleen Carley <https://www.cylab.cmu.edu/directory/bios/carley-kathleen.html> Carnegie Mellon University USA · Manlio De Domenico <https://manliodedomenico.com/> University of Padua Italy · Danai Koutra <http://web.eecs.umich.edu/~dkoutra/> University of Michigan USA · Romualdo Pastor-Satorras <http://www.fen.upc.edu/~romu/> Univ. Politècnica de Catalunya Spain · Tao Zhou <https://scholar.google.com/citations?user=MXgWgmEAAAAJ&hl=en> USTC China *TUTORIALS* · Tiago de Paula Peixoto <https://skewed.de/tiago> CEU Vienna Austria · Maria Liakata <https://www.turing.ac.uk/people/researchers/maria-liakata> Queen Mary University of London UK *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. · *Papers *will be included in the conference *proceedings edited by Springer* · *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science <https://appliednetsci.springeropen.com/> edited by Springer o Advances in Complex Systems <https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific o Complex Systems <https://www.complex-systems.com/about/> o Entropy <https://www.mdpi.com/journal/entropy> edited by MDPI o PLOS <https://journals.plos.org/plosone/> one <https://journals.plos.org/plosone/> o Social Network Analysis and Mining <https://link.springer.com/journal/13278> edited by Springer *SUBMISSION* https://complexnetworks.org/submission/ *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Epidemics o Community Structure o Motifs o Network Mining o Network embedding o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Controllability o Synchronization o Visual Representation o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems o Financial and Economic Networks o Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics o Earth Sciences Applications o Resilience and Robustness of Complex Networks o Networks for Physical Infrastructures o Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks o Graph-Based Natural Language Processing *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA) Join us at COMPLEX NETWORKS 2023 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science <https://appliednetsci.springeropen.com/> Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

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Call for Abstract Submission FRoBio: Freiburg Robotics and Biology Conference
by Timo Oess 24 Jul '23

24 Jul '23

Dear all, We are pleased to announce the FRoBio: Freiburg Robotics and Biology Conference - Bringing together nature and technology. The conference will take place on 22nd of November until 24th of November 2023 at the University of Freiburg, Germany. The event brings together international experts of different disciplines, such as biology, chemistry, medicine, materials science, nanotechnology, electrical engineering, mechanical engineering, optics, and robotics to share so far untackled research questions or current challenges, novel methods and approaches that are applicable for multiple fields or interdisciplinary research. Abstract submission is now open for in-person participants and the deadline is September, 8th 2023. The registration for online participants will be open in October 2023. For further information on the conference and In-Person / Online Registration please visit the conference website. <https://www.frias.uni-freiburg.de/de/veranstaltungen/nachwuchskonferenzen/F…> We are looking forward to seeing you at FRoBio in November 2023! Best regards, The Organizing Committee

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