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Scientific Computing Associate - Biophysical Modeling - Janelia Farm Research Campus
by Ahmed El Hady Sept. 17, 2023

Sept. 17, 2023

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 Sept. 15, 2023

Sept. 15, 2023

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 Sept. 15, 2023

Sept. 15, 2023

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 Sept. 15, 2023

Sept. 15, 2023

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 Sept. 15, 2023

Sept. 15, 2023

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 Sept. 15, 2023

Sept. 15, 2023

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.) Sept. 14, 2023

Sept. 14, 2023

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 Sept. 14, 2023

Sept. 14, 2023

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 Sept. 14, 2023

Sept. 14, 2023

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 Sept. 14, 2023

Sept. 14, 2023

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. Sept. 13, 2023

Sept. 13, 2023

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 Sept. 13, 2023

Sept. 13, 2023

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 Sept. 13, 2023

Sept. 13, 2023

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 Sept. 13, 2023

Sept. 13, 2023

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 Sept. 13, 2023

Sept. 13, 2023

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 Sept. 12, 2023

Sept. 12, 2023

*** 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 Sept. 11, 2023

Sept. 11, 2023

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 Sept. 10, 2023

Sept. 10, 2023

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 Sept. 8, 2023

Sept. 8, 2023

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 Sept. 8, 2023

Sept. 8, 2023

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 Sept. 8, 2023

Sept. 8, 2023

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 Sept. 8, 2023

Sept. 8, 2023

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 Sept. 6, 2023

Sept. 6, 2023

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 Sept. 6, 2023

Sept. 6, 2023

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 Sept. 5, 2023

Sept. 5, 2023

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 Sept. 5, 2023

Sept. 5, 2023

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 Sept. 5, 2023

Sept. 5, 2023

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 Sept. 1, 2023

Sept. 1, 2023

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 Sept. 1, 2023

Sept. 1, 2023

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 Sept. 1, 2023

Sept. 1, 2023

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 Aug. 31, 2023

Aug. 31, 2023

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 Aug. 30, 2023

Aug. 30, 2023

(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 Aug. 30, 2023

Aug. 30, 2023

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 Aug. 30, 2023

Aug. 30, 2023

***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 Aug. 30, 2023

Aug. 30, 2023

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 Aug. 30, 2023

Aug. 30, 2023

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 Aug. 29, 2023

Aug. 29, 2023

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 Aug. 29, 2023

Aug. 29, 2023

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 Aug. 28, 2023

Aug. 28, 2023

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 Aug. 28, 2023

Aug. 28, 2023

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 Aug. 27, 2023

Aug. 27, 2023

**** 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 Aug. 26, 2023

Aug. 26, 2023

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 Aug. 26, 2023

Aug. 26, 2023

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 Aug. 25, 2023

Aug. 25, 2023

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 Aug. 25, 2023

Aug. 25, 2023

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 Aug. 25, 2023

Aug. 25, 2023

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 Aug. 24, 2023

Aug. 24, 2023

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 Aug. 24, 2023

Aug. 24, 2023

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 Aug. 24, 2023

Aug. 24, 2023

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 Aug. 23, 2023

Aug. 23, 2023

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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