- Comp-neuro - lists.cnsorg.org

Postdoc position in Computational Neuroimaging of the Cerebellum (Western University, Canada)

by Jorn Diedrichsen

The Diedrichsen Lab<http://www.diedrichsenlab.org/> is looking to recruit a new postdoctoral associate with interest in studying the human cerebellum. The successful candidate will join an inter-disciplinary research group that uses behavioral, neuroimaging, and computational approaches to investigate the role of the cerebellum in motor control, cognition, and language<https://www.diedrichsenlab.org/res_cerebellarfunction.htm>. Our approach is to use Big Data and Machine Learning to gain insight about the overall functional organization of the cerebellum, which then informs targeted imaging and behavioural experiments. The enthusiastic and supportive environment will enable the candidate to develop their own research program. The lab is located in the Western Institute of Neuroscience in London, Ontario, Canada, and is part of the Sensorymotor Superlab<https://superlab.ca/about/> and the Computational Brain Sciences group<https://www.uwo.ca/bmi/cbs/> at Western. Systems and cognitive neuroscience is a key area of research strength at Western University, with more than 70 Principal Investigators and 200 trainees. High-resolution imaging at 9.5T, 7T, and 3T is available in-house. Full application details can be found here<http://www.diedrichsenlab.org/open_postdoc_cerebellum.htm>. Candidates are encourage to contact us early to arrange a meeting to discuss possible research projects. The deadline for applications is September 4th, 2023. Jörn Diedrichsen Western Research Chair Brain Mind Institute Department of Computer Science Department of Statistical and Actuarial Sciences Email: jdiedric(a)uwo.ca<mailto:jdiedric@uwo.ca> Tel: 1-519-661-2111 x86994

July 12, 2023

CALL-FOR-REGISTRATION CNS*2023 Workshop W11: "Multiscale Personalized Brain Network Modeling: Towards Clinical Applications"

by Julie Courtiol

[image: ‎‎‎‎‎CNS*2023_Workshop_banner_EBRAINS.png] Dear comp-neuro community, Only a few days left before the highly anticipated *CNS*2023 conference* in Leipzig, Germany. Have you made up your mind about which workshop to attend? We have one in particular that we believe will ignite your curiosity and expand your horizons. Introducing our captivating workshop:* "Multiscale Personalized Brain Network Modeling: Towards Clinical Applications."* This workshop delves into the fascinating world of personalized brain network modeling and its potential applications in clinical contexts. Join us as we explore the interdisciplinary aspects of computational and clinical neuroscience, digital infrastructure, reproducible research, and ethical considerations surrounding human digital twins. We have carefully curated a program filled with insightful presentations and engaging discussions led by experts in the field. It's an incredible opportunity to gain valuable knowledge and connect with like-minded individuals who are passionate about advancing computational neuroscience. *Date: Wednesday, July 19* *Time: Full day* (check the conference program for specific session timings) To learn more about our workshop, please visit our workshop webpage: https://www.brainsimulation.org/bsw/zwei/events/single/12404-32nd-annual-co… If you are interested in attending this workshop, please indicate your interest by ticking the box on this page: https://sched.co/1Kd7G To register for the CNS*2023 event as a whole, please visit the official registration page here: *https://ocns.memberclicks.net/cns-2023 Don't miss out on this unique opportunity to expand your understanding of personalized brain network modeling. Register now for CNS*2023 and secure your spot in our workshop. Space is limited, so make sure to reserve your place as soon as possible. Indicate your interest in attending our workshop by ticking the box on this page: https://sched.co/1Kd7G We look forward to welcoming you and exploring the frontiers of computational neuroscience together at CNS*2023. ---Best regards, *Dr. Julie Courtiol* Scientific Manager, Brain Simulation Section [image: 1644242313315] Charité - Universitätsmedizin Berlin Berlin Institut of Health Brain Simulation Robert-Kosh-Platz 4 Charitéplatz 1 | 10117 Berlin | Germany julie.courtiol(a)bih-charite.de - www.brainsimulation.org Twitter: @Courtioljulie <https://twitter.com/CourtiolJulie> LinkedIn: juliecourtiol <https://www.linkedin.com/in/juliecourtiol/>

July 11, 2023

IMBIZO APPLICATION DEADLINE IS JULY 18TH

by Tim Vogels

Dear colleagues and friends, Given that SONA (the SfN / FENS conference equivalent in Africa is starting today) and that we have a bit of representation there, we have decided to extend the DEADLINE for the next IMBIZO by one week. Apply now to join us at the most diverse neuroscience summer school at the most beautiful beach in the world! If you know anyone who would benefit from an extraordinary computational neuroscience summer school, please distribute this information to them. All the best, Tim Vogels IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO #Imbizo2024 7 January - 28 January 2024, Noordhoek Beach, Cape Town, South Africa http://imbizo.africa/ Application deadline: 18th July 2023 The #Imbizo2024 is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together international and local students under the tutelage of the world's leading experts in the field. Like its international sister courses, this four-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of computational neuroscience, including experimental underpinnings and machine learning analogues. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modelling of neurons, neural systems, behaviour, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. It also includes a week focused on neuroscience-inspired machine learning! Who should apply? This course is aimed at Masters and early-PhD level students though Honours or advanced undergraduates may also apply. Postdoctoral students who can motivate why the course would benefit them are also encouraged to apply, Students should have sufficient quantitative skills, (e.g. a background in mathematics, physics, computer science, statistics, engineering or related field). Some knowledge of neural biology will be useful but not essential. Experimental neuroscience students are encouraged to apply, but should ensure that they have a reasonable level of quantitative proficiency (i.e. at least second-year level mathematics or statistics and have done at least one course in computer programming). Essential details * Fee (which covers tuition, lodging, and meals): 1350 EUR Thanks to our generous sponsors, significant financial assistance is available to reduce and waiver fees for students, particularly for African applicants. We also hope to provide some travel bursaries for international students. If you are in need of financial assistance to attend the Imbizo, please state so clearly in the relevant section of your application. The Imbizo is planned to be hosted in person, with everyone following our COVID policy <https://imbizo.africa/covid-policy/>. If it is unsafe to hold the summer school, we will follow up with further information at the appropriate time. * Application deadline: 18th July 2023 * References submitted: 24th July 2023 * Notification of results: August 2023 Information and application https://imbizo.africa/ Questions? isicn.imbizo(a)gmail.com <mailto:isicn.imbizo@gmail.com> What is an Imbizo? \ɪmˈbiːzɒ\ | Xhosa - Zulu A gathering of the people to share knowledge. Past and future faculty: Adrienne Fairhall - Washington University Alex Pouget - University of Geneva Anne-Marie Oswald - University of Pittsburgh Annik Carson - AI Redefined Arif Hamid - University of Minnesota Medical School Aza Allsop - Yale University Bard Ermentrout - University of Pittsburgh Bianca Jones Marlin - Columbia University Blake Richards - McGill University Brent Doiron - University of Chicago Cengiz Pehlevan - Harvard University Christopher Currin - Institute of Science and Technology Austria & IndabaX South Africa Daniela Vallentin - Max Planck Institute for Biological Intelligence David Sussillo - Google Demba Ba - Harvard University Dongyan Lin - MILA Evan Schaffer - Columbia University Franck Kalume - University of Washington Grace Lindsay - New York University Guillaume Lajoie - University of Montreal & MILA Henning Sprekeler - Technical University of Berlin Ilenna Jones - Harvard University Joseph Raimondo - University of Cape Town Mackenzie Mathis - EPFL Lausanne Marjorie Xie - Columbia University Mohamed Abdelhack - Krembil Centre for Neuroinformatics Nina Kudryashova- University of Edinburgh Peter Latham - University College London Rachael Dangarembizi - University of Cape Town Roy Eyono - MILA Spiros Chavlis - IMBB-FORTH SueYeon Chung - New York University Thomas Tagoe - University of Ghana Tim Vogels - Institute of Science and Technology Austria Timothy Lillicrap - DeepMind Xaq Pitkow - Baylor College of Medicine ORGANISERS Demba Ba (Harvard University) Christopher Currin (Institute of Science and Technology Austria & IndabaX South Africa <https://indabax.co.za/>) Peter Latham (Gatsby Unit for Computational Neuroscience) Joseph Raimondo (University of Cape Town) Emma Vaughan (Imbizo Logistics) Tim Vogels (Institute of Science and Technology Austria) Sponsors The Imbizo is made possible by the generous support from the Simons Foundation <https://www.simonsfoundation.org/>, the International Brain Research Organisation (IBRO) <https://ibro.org/> as well as the Wellcome Trust, Google Deep Mind, Meta and others. Organizational Affiliates University of Cape Town, University College London, Institute of Science and Technology Austria, Harvard University, TReND in Africa <http://trendinafrica.org/>, Neuroscience Institute <http://www.neuroscience.uct.ac.za/>, Gatsby Foundation <http://www.gatsby.org.uk/>, IBRO African Center for Advanced Training in Neurosciences at UCT

July 11, 2023

GDR Neuralnet announcement

by Pierre-Pascal LENCK-SANTINI

Hello, could you share this message to the community please? Best regards PP Lenck-Santini Dear Colleagues, we have the pleasure to invite you to our annual GDR neuralnet that will take place in Marseille, Campus du Pharo. https://neuralnet2023.sciencesconf.org/ The GDR Neuralnet is a group of French research teams that gather to discuss about how collective neuronal activity underpins the functioning of the nervous system. These labs study a range of biological and artificial neural networks using population recording techniques, analytic approaches, and computational modelling. The goal of the GDR NeuralNet annual meeting, on its 12th edition this year, is to develop and promote synergies between researchers, engineers, and other stakeholders engaged in measuring, manipulating, analyzing and interpreting neuronal activity. Venue The conference will take place on October 11-13, 2023 at the Campus Pharo of Aix-Marseille Université, in the beautiful gardens overlooking Marseille harbor. Program We are still finalizing the program but current confirmed speakers are: * Demian Battaglia * Andrea Burgalossi * Hayriye Cagnan * Matteo Carandini * Ann Clemens * Matteo Di Volo * Mark Humphries * Kate Jeffery * Liset Menendez de la Prida * Marta Moita * Martha Nari Havenith * David Robbe * Marieke Schölvinck * German Sumbre There will also be a few selected talks from submitted abstracts; we encourage submissions from young researchers or young PIs. Registration Registration is now open (take advantage of early registration price)! Bear in mind that there will be a limitation to 180 participants to the conference and places will be assigned on a first come first served basis. The deadline for both early registration and abstract submission is July 20. As usual, ahead of the conference (October 9-10th) there will be an optional and free Minischool for those who registered. The Misischool concerns management tools of large datasets, spike sorting and calcium imaging. It will take place at the Inmed in Luminy (parc national des callanques). https://neuralnet2023.sciencesconf.org/resource/page/id/17 For more information visit: https://neuralnet2023.sciencesconf.org/ Pierre-Pascal Lenck-Santini, Ph.D. , (He/him/his) INMED INSERM/Aix-Marseille Université -- UMR 1249 Parc scientifique de Luminy 163 avenue de Luminy BP13 - 13273 Marseille cedex 09 - France - Tel : +33 (4) 91 82 81 66 https://brainsalsa.fr/

July 11, 2023

Announcing SNUFA 2023 workshop: 7-8 November

by Friedemann Zenke

We are happy to announce SNUFA 2023: 7-8 November (online)--your friendly focus meeting on spiking neural networks. Abstract submission is now open! See https://snufa.net/2023 for details. Invited speakers this year: Rodolphe Sepulchre, Melika Payvand, Gabriel Ocker, Jeff Krichmar. As usual, the workshop brings together computational neuroscience, machine learning, and neuromorphic engineering researchers to present their work and discuss how to translate these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We aim at a manageable number of talks with ample time for discussions. SNUFA 2023 is brought to you by Charlotte Frenkel, Emre Neftci, Dan Goodman, and Friedemann Zenke -- https://snufa.net/2023

July 11, 2023

PhD position - Comp. Neuro. - Navigation using episodic memory

by Vinita Samarasinghe

*Doctoral Position in Computational Neuroscience* Are you curious about how the human brain stores memories? Have you wondered how we manage to navigate through space? Our dynamic research group uses diverse computational modeling approaches,includingbiological neural networks, cognitive modeling, and machine learning/artificial intelligence, to study learning and memory. Currently, we are actively seeking a *talented graduate student* to join our team, someone who will expand our computationalmodeling framework Cobel-RL (https://doi.org/10.3389/fninf.2023.1134405)and use it to study how episodic memory might be used to learn to navigate.* * *Your Profile: * Candidates must * have a mastersdegreein neuroscience, physics, computer science, mathematics, psychology,or a related field * be able to work independently * have experience in mathematical modeling * have excellent programming skills, * have excellent communication skills in English, and * work well in a team. We are committed to providing a supportive work environment for female researchers and those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to meet with them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare will be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. This position is *65% at TV-L E13*, starts as soon as possible and is funded for *3 years*. Please send your application, including CV, transcripts and research statement electronically, as a single PDF file, to samarasinghe(a)ini.rub.de. In addition, at least two academic references mustbe sent independently to the above email address. The deadline for applications is 20.08.2023. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. Please feel free to get in touch with me if you have any questions. -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email:samarasinghe@ini.rub.de

July 10, 2023

Tutorial CNS 2023, T11: Simulation of spiking and BOLD signals using the ANNarchy simulator

by Julien Vitay

Dear colleagues, we would like to draw your attention to the hands-on tutorial entitled "T11: Simulation of spiking and BOLD signals using the ANNarchy simulator” of the upcoming CNS conference held in Leipzig ( https://www.cnsorg.org/cns-2023) The tutorial will take place on Saturday, July 15th in the afternoon session. The ANNarchy neuro-simulator targets the efficient simulation of rate-coded and spiking models on shared memory systems (multi-core, GPU). This tutorial will first introduce the definition of spiking neural networks in ANNarchy through its equation-oriented interface. The tutorial can be done on your laptops using the provided Jupyter notebooks or remotely on colab. The second part will demonstrate how to record BOLD signals from a spiking simulation using various balloon models and optimize the underlying hyperparameters. Registration for the tutorials at CNS 2023 is required and can be done at: https://ocns.memberclicks.net/cns-2023-registration The tutorial description can be found here: https://cns2023.sched.com/event/1NDRl Useful links: - Source code: https://github.com/ANNarchy/ANNarchy - Documentation: https://annarchy.github.io/ - White paper of the ANNarchy neural simulator: https://www.frontiersin.org/articles/10.3389/fninf.2015.00019/full - BOLD monitoring in ANNarchy: https://www.frontiersin.org/articles/10.3389/fninf.2022.790966/full Best regards Fred Hamker, Helge Ülo Dinkelbach, Julien Vitay -- Professur Künstliche Intelligenz Fakultät für Informatik Technische Universität Chemnitz Straße der Nationen 62 09111 Chemnitz Germany

July 10, 2023

T12: Vast parameter space exploration using L2L on EBRAINS

by Michiel van der Vlag

Did you ever wonder how to best go about exploring the parameters space of a dynamic brain model or how you can optimize a task learning network. Or maybe you just want to know how to work with the research infrastructure from the Human Brain Project called EBRAINS and send jobs to a supercomputer from this cloud environment? We cordially invite you to join our tutorial to learn all about EBRAINS and a scalable HPC solution for learning to learn (L2L), discussing machine learning optimization techniques applied on brain simulations. Synopsis: https://cns2023.sched.com/event/1NCef/t12-vast-parameter-space-exploration-… Organizers: Alper Yegenoglu and Michiel van der Vlag. Hope to see you there! Kind regards, -- Michiel Alexander van der Vlag Forschungszentrum Jülich GmbH Institute for Advanced Simulation (IAS) Jülich Supercomputing Centre (JSC) SDL Neuroscience 52425 Jülich, Germany phone: +49-2461-61-8911

July 10, 2023

Two postdoc positions in Computational Cognitive Neuroscience / Psychology / Cognitive Neuroscience

by Martin Hebart

Dear all, The Computational Cognitive Neuroscience lab <https://hebartlab.com> of Martin Hebart is looking for two postdocs (initially for two years, with a possibility for an extension), who work in Computational Cognitive Neuroscience, Psychology, Computer Science, or a related field. The positions are part of the LOEWE Start Professorship of Martin Hebart, as well as the ERC Starting Grant COREDIM "Uncovering the core dimensions of visual object representations". Our lab aims at uncovering fundamental principles of visual and semantic processing in the human brain, with a focus on the visual system. To this end, we have access to a wide range of exciting large-scale datasets, including (1) human neuroimaging, human and macaque neurophysiological, and behavioral datasets as part of the THINGS initiative ( https://things-initiative.org) as well as (2) recent densely-sampled ultrahigh field functional and structural MRI data to reveal the relationship between the fine-grained cortical anatomy, the human structural connectome, and brain function in occipitotemporal cortex. The exact implementation of the projects is flexible but should be tied to the overall goals of the projects. The project of postdoc position 1 should be focused on using and ideally integrating the diverse datasets acquired as part of the THINGS initiative, including the possibility of developing or testing computational models of vision and language. The project of postdoc position 2 should be focused either on the functional neuroanatomy of the human visual system or on the relationship between visual and semantic features in occipitotemporal cortex. The positions are located at University of Giessen, with close collaboration with the Max Planck Institute of Human Cognitive and Brain Sciences in Leipzig, Germany. Our lab provides a supportive environment that strives towards helping postdocs advance in their career. We provide expertise and state-of-the-art resources for the successful completion of the postdoc positions. University of Giessen offers a vibrant community of vision scientists, and there are close collaborations with Marburg (15min distance by train) and Frankfurt (40min distance). The proximity to Frankfurt provides ideal mobility for national and international candidates. For details, please read the job announcements. Please apply using the online form: Postdoc position 1 <https://www.uni-giessen.de/karriere/stellenangebote/ausschreibungen/wissens…> Postdoc position 2 <https://www.uni-giessen.de/karriere/stellenangebote/ausschreibungen/wissens…> For more information, please reach out to Martin Hebart ( martin.hebart(a)psychiat.med.uni-giessen.de) Best wishes, Martin

July 10, 2023

Re: Endowed Professorship "Machine Learning for Clinical Neuroscience"

by Philipp Berens

Dear all, the application deadline for the Endowed professorship "Machine Learning for Clinical Neuroscience" (https://www.academics.com/jobs/w3-stiftungsprofessur-fuer-maschinelles-lern…) at the University of Tübingen is approaching. We are looking forward to your application until July 20th! Best Philipp Am 22/06/2023 um 09:51 schrieb Philipp Berens: > Dear all, > > we are currently advertising an Endowed professorship "Machine Learning > for Clinical Neuroscience" > (https://www.academics.com/jobs/w3-stiftungsprofessur-fuer-maschinelles-lern…) at the University of Tübingen. > > We are looking for candidates that perform innovative research on the > application and development of new machine learning methods in clinical > neuroscience, in particular for early detection and prediction of > disease progression. This can include work on topics such as > explainability, safety and robustness of machine learning methods in > clinical settings. It would be great if candidates had worked with > multimodal data with clinical relevance (e. g. MRI, fMRI, EEG, > electrophysiology, omics data, data from sensors of wearables) as well > as cohort data (UKBiobank, NAKO, etc.). > > Tübingen offers a first-rate environment at the intersection of > neuroscience and AI/ML research with the Excellence Cluster for Machine > Learning in Science, the Tübingen AI Center, the Max Planck Institutes > for Intelligent Systems and Biological Cybernetics, the Hertie Institute > for Clinical Brain Research and many other institutions! > > We are looking forward to your application by July 20th. > > Best > Philipp -- Professor of Data Science, Director Hertie Institute for AI in Brain Health Medical Faculty of the University of Tübingen www.berenslab.org

July 10, 2023

Workshop on Neuro-Inspired Topology and Machine Learning at CNS 2023

by Neymotin, Samuel (NKI)

We invite the computational neuroscience community to join us at our workshop on Neuro-inspired topology and machine learning at CNS 2023, on July 19th, 2023 in Leipzig, Germany. Workshop Description: Mathematics, machine learning, and computational neuroscience have long been intertwined. Mathematical tools such as graph theory, information theory and dynamical systems have been used to model neural activity. Similarly, modern machine learning approaches have been inspired by neuroscience and have been used to better understand brain connectivity and dynamics. These three research facets play off of each other to advance each field individually and concurrently. The goal of this workshop is to bring computational neuroscientists, mathematicians, and computer scientists together to communicate research around their expertise. Additionally, it will serve as a venue to discuss avenues of future research impacting computational neuroscience and mathematics while advancing machine learning and artificial intelligence methods. Speakers include: Max Bazhenov, Vasileios Christopoulos, Claudia Clopath, Salvador Dura-Burnal, Daniela Egas-Santander, Celia Hacker, Erik Hermansen, Bill Lytton, Robert McDougal, Aitor Morales-Gregorio, Manish Saggar, Brittany Story, and Nick Tolley Full details including schedule are available here: https://sites.google.com/view/nitmlcns2023/home The organizers, Brittany Story, Vasileios Maroulas, Sam Neymotin ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation.

July 8, 2023

Comp. Neurosci. postdoc - NY

by Neymotin, Samuel (NKI)

Postdoctoral scientist positions are available at the Nathan Kline Institute (NKI) for Psychiatric Research (https://www.nki.rfmh.org/) to work on computational neuroscience research funded by NIH and DoD grants. Applicants should have a PhD in computational neuroscience (or a related field), strong background in multiscale modeling using NEURON/NetPyNE, Python software development, neural/electrophysiology data analysis, machine learning, and writing/presenting research. Applicants should send the following information to the computational neuroscience lab PI (Sam Neymotin; samuel.neymotin(a)nki.rfmh.org) 1. Curriculum vitae (.pdf, required) 2. Cover letter describing your research interests, relevant experience, and career goals 3. At least one academic writing sample 4. Referrer's Contact Information/Recommendation Letter Applications will be considered and interviews offered (for qualified applicants) as they are received. ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation.

July 7, 2023

Workshop on neuronal optimality and trade-offs at CNS*2023

by Jedlicka, Peter

Dear all, Join us at CNS*2023 in Leipzig on July 18th and 19th for the workshop W06: Optimality, evolutionary trade-offs, Pareto theory and degeneracy in neuronal modelling<https://www.treestoolbox.org/CNS2023_pareto_workshop/program.html>. Nervous systems, like any evolved structure, encounter unavoidable trade-offs between multiple tasks. They must fulfil their fundamental computational functions whilst consuming as little energy as possible and remaining robust to potential environmental changes. These tasks are often in direct opposition to one another, and a general quantification of the relative importance of individual optimisation targets is non-trivial. The problem is complicated by the degeneracy seen across neurons and circuits, where multiple different combinations of components can lead to similar functional behaviours. Pareto optimality might provide a useful framework to analyse neurobiological systems from biophysically detailed cells to large-scale network structures that combine high-dimensional parameter spaces with high-dimensional objective spaces. Pareto, or multi-objective, optimality can, for example, help to identify geometrically simple subspaces of neuronal models that cannot be improved upon for all relevant objectives. This workshop aims to discuss applications of Pareto optimality to the trade-offs encountered by diverse nervous systems. The talks and discussions will also address the trade-off between functional effectiveness and energetic efficiency and the concept of metabolically efficient information processing. Registration for the workshops at CNS 2023 is required and can be done at: https://ocns.memberclicks.net/cns-2023-registration Speakers include: Astrid Prinz, Anna Levina, Timothy O'Leary, Marcel Oberländer, Arnd Roth, Rishikesh Narayanan, Suhita Nadkarni, Albert Gidon, Zahid Padamsey, Wiktor Mlynarski, Dylan Festa Full details are available at: https://www.treestoolbox.org/CNS2023_pareto_workshop/index.html and https://cns2023.sched.com/event/1O0MO/w06-optimality-evolutionary-trade-off… Hope to see you there! Alex Bird, Philipp Norton, Peter Jedlicka, and Susanne Schreiber -- Prof. Dr. Peter Jedlicka Computer-Based Modelling in the field of 3R Animal Protection Faculty of Medicine Justus Liebig University Giessen Rudolf-Buchheim-Straße 6 35392 Gießen Phone: ++49 (0)641 9941387 Fax: ++49 (0) 641 9941359 Email: Peter.Jedlicka(a)informatik.med.uni-giessen.de 3R Centre of Justus Liebig University Giessen Interdisciplinary Centre for 3Rs in Animal Research (ICAR3R) Frankfurter Straße 104 35392 Giessen (Germany) www.ICAR.de<https://www.uni-giessen.de/de/fbz/fb11/institute/computerbasiertes-modellin…>

July 7, 2023

2 Fully funded PhD positions in testing of AI-based systems at Università della Svizzera italiana (Switzerland)

by Nargiz Humbatova

Dear All, The TAU (Testing AUtomated) research group at the Software Institute <https://www.si.usi.ch/> of Università della Svizzera italiana (USI) <https://www.usi.ch/> investigates novel testing techniques to improve the robustness and security of systems based on deep learning. We offer two PhD positions in the following topics: 1. Search-based test case generation for vulnerability exposure in deep learning based systems and creation of a robustness assessment benchmark. The position is funded by the Horizon <https://research-and-innovation.ec.europa.eu/funding/funding-opportunities/…> European project Sec4AI4Sec <https://search.usi.ch/en/projects/3018/cybersecurity-for-ai-augmented-syste…> which aims to support security testing of AI-based systems; 2. Automated partition of a complex input space into a topographical map consisting of regions that maximise the likelihood of fault exposure when test cases are sampled from unexplored or boundary map regions. This position is funded by the SNSF <https://snf.ch/en> project TopoScope <https://search.usi.ch/en/projects/3030/toposcope-a-topographical-approach-t…>, aiming at redefining the testing activities as the exploration of a topographical map of the input space. We are scouting excellent applicants for these two PhD positions. Successful candidates will work at the Software Institute of Università della Svizzera italiana (USI) in Lugano, Switzerland, under the supervision of Prof. Paolo Tonella <http://inf.usi.ch/faculty/tonella> and the co-supervision of Dr. Nargiz Humbatova <http://usi.to/pio> and Dr. Jinhan Kim. At USI, PhD salaries are highly competitive (around 50 kCHF), in accordance with the Swiss standards. Ideally, the selected candidates are expected to start on October 1st, 2023, but later starts can also be considered. The duration of the PhD contract will be 4 years. How to apply? Applications for PhD positions should include a curriculum vitae and the exam transcripts. PhD candidates should hold an MSc degree in Computer Science by Fall 2023. Applications can be sent to paolo.tonella(a)usi.com. The call will remain open until all positions are filled, but *priority will be given to earlier applications*. Best Regards, Nargiz

July 7, 2023

Master of Science "Modeling for Neuronal and Cognitive Systems" at Université Côte d'Azur - Apply until the 20th of July!

by Chloe Bourgeois

The M.Sc. program "Modeling for Neuronal and Cognitive Systems" at Université Côte d'Azur is still recruiting its new students! This international Master of science is interdisciplinary and related to computational approaches in neuroscience/cognitive science. Check our website for eligibility criteria and more info about the program: https://univ-cotedazur.eu/msc/modeling-for-neuronal-and-cognitive-systems Applications must be submitted via the online platform ecandidat<https://ecandidat-uca1.univ-cotedazur.fr/#!accueilView>, until the 20th of July 2023. Thanks for sharing this announcement as widely as possible. Contact: msc-mod4neucog(a)univ-cotedazur.fr<mailto:msc-mod4neucog@univ-cotedazur.fr> Kind regards, -- Chloé Bourgeois Responsable Administrative Institut NeuroMod<https://neuromod.univ-cotedazur.eu/> 2004 Route des Lucioles 06902 Sophia-Antipolis Tel. : +33 (0)4 89 73 24 99

July 7, 2023

CNS 2023 Tutorial on Dynamical Systems Methods

by Richard Gast

Dear members of the computational neuroscience community, I would like to draw your attention to a tutorial that Hil G.E. Meijer, Bastian Pietras, and I will offer at the first day of CNS 2023: "Applied Dynamical Systems Methods in Neuroscience''. In this tutorial, we will explain basic dynamical systems concepts and analysis methods at the example of single neurons, neural networks, and mean-field equations of neural networks. The main goals of the tutorial are (i) to provide the audience with an intuition of how neural systems can be studied via mathematical models, (ii) to explain how we can analyze parameter dependencies of these mathematical models, and (iii) to provide numerical recipes, and software solutions to carry out these analysis methods. For more details on the tutorial, have a look at our website: https://cns2023.sched.com/event/cbd810bd0ffd6a59869a5f89fbf17b58 If you are planning to participate in the hands-on sessions, I advise you to follow the preparation instructions on that website! See you in Leipzig, Richard Gast

July 6, 2023

SUBMIT YOUR WORK TO COMPLEX NETWORKS 2023 BEFORE SEPT. 02, 2023

by Hocine Cherifi

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

July 6, 2023

Announcing the fourth Canadian Computational Neuroscience Spotlight!

by Scott Rich

Dear Comp-Neuro mailing list members, We are pleased to announce the fourth edition of the Canadian Computational Neuroscience Spotlight (CCNS) <https://www.crowdcast.io/c/ccnsv4> will take place this fall, October 5 and 6. The meeting will once again take place entirely virtually using the Crowdcast platform, and parlay the savings from this virtual setting into no registration fees for attendees. CCNS was created in the immediate aftermath of the initial COVID-19 lockdowns, which caused the cancellation of multiple conferences within the Canadian neuroscience community. As one of the first brand-new meetings created with the virtual space in mind <https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008…>, CCNS distinguished itself by exploiting the online setting to engage an international audience, increase content accessibility through no registration fees and permanently available replays, and place an added spotlight on trainee contributions. Two successful follow-up editions of the meeting took place in 2021 and 2022. CCNSv4 will highlight three fantastic keynote speakers: Dr. Rick Adams <https://www.ucl.ac.uk/mental-health/mental-health-awareness-week/meet-dr-ri…>, Dr. Jeremie Lefebvre <https://www.uottawa.ca/brain/people/lefebvre-jeremie>, and Dr. Sarah Muldoon <https://www.buffalo.edu/cas/math/people/faculty/muldoon.html>. The keynote talks will be complemented by interactive workshop sessions led by our organizing committee. The remainder of the program will highlight trainee contributions, both through spotlighted talks and parallel sessions. The preliminary program can be seen after registration through the Crowdcast platform <https://www.crowdcast.io/c/ccnsv4>, and further details will be added to our homepage (ccnsmeeting.ca) in the coming weeks. Trainees interested in presenting are encouraged to first register for the conference via Crowdcast (crowdcast.io/c/ccnsv4 <https://www.crowdcast.io/c/ccnsv4>) and then complete this Google Form <https://docs.google.com/forms/d/e/1FAIpQLSeev-EA5ccwKapzRV43xD4NfDYGyDeAiWp…>. Submissions received by 5 p.m. EDT on September 1 will be considered for longer “spotlight” presentations. We anticipate all submissions that reasonably fall under the broad banner of “computational neuroscience” will be accepted unless demand far exceeds our expectations. A final schedule for the meeting, including the schedule of trainee talks, will be made available no later than September 18. Please feel free to reach out to the organizing committee if you have any questions about this meeting, and we look forward to seeing you at CCNSv4! 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.

July 5, 2023

Invitation for Hands-on Tutorial on PyNN at CNS*2023 Inbox

by CHITARANJAN MAHAPATRA

*Dear all,* *We are delighted to announce that a half-day tutorial titled "Hands-on Tutorial on PyNN: A Simulator-Independent Language for Building Neuronal Network Models" will be held at the 32nd Annual Computational Neuroscience Meeting (CNS*2023 conference) in Leipzig, Germany. We invite all registered participants to join the tutorial, which will take place on the first day of the meeting, 15 July 2023, just before the main event.* *Computational neuroscientists have developed a diversity of software platforms for simulating neural network models at different scales. However, each simulator has its own programming or configuration language, leading to considerable difficulty in porting models from one simulator to another. A common programming interface to multiple simulators would help to reduce or eliminate the problems of simulator diversity while retaining the benefits. PyNN is such an interface, making it possible to write a simulation script once, using the Python programming language, and run it without modification on any supported simulator (currently including NEURON, NEST, Brian, and the SpiNNaker and BrainScaleS neuromorphic hardware systems).* *Prerequisites:* *Basic familiarity with the Python programming language* *Useful links:* *Main website: https://ebrains.eu/service/pynn/ <https://ebrains.eu/service/pynn/>* *Documentation: http://neuralensemble.org/docs/PyNN/ <http://neuralensemble.org/docs/PyNN/>* *Download: https://pypi.org/project/PyNN/ <https://pypi.org/project/PyNN/>* *Organizers:* *Chitaranjan Mahapatra (Neuroinformatics Group, Paris-Saclay Institute of Neuroscience, CNRS, Paris-Saclay University, France)* *Shailesh Appukuttan (Neuroinformatics Group, Paris-Saclay Institute of Neuroscience, CNRS, Paris-Saclay University, France)* *Andrew Davison (Neuroinformatics Group, Paris-Saclay Institute of Neuroscience, CNRS, Paris-Saclay University, France)* *Speakers/Instructors:* *Chitaranjan Mahapatra, Speaker (Paris-Saclay Institute of Neuroscience, France)* *Nitin Anisetty, Instructor (Indian Institute of Technology Bombay, India)* *We also invite all tutorial participants to create a free EBRAINS account using an institutional email address. By doing so, you will gain complete access to EBRAINS tools and services.* *Best regards,* *Chitraranjan* ------------------------------------------------------------------------------------------------- Chitaranjan Mahapatra

July 5, 2023

Tutorial "Using open tools to build efficient workflows for data access, management and analysis" at CNS*2023

by Michael Denker

We would like to take the opportunity to invite you to our hands-on tutorial titled "Using open tools to build efficient workflows for data access, management and analysis" which will be held in the morning tutorial session on July 15, 2023 of this year's CNS*2023 conference in Leipzig, Germany (https://www.cnsorg.org/cns-2023) The tutorial is open to all registered participants, and assumes only basic experience with the Python programming language. Tutorial materials will be made available during the session. In order to interactively follow the tutorials online, we suggest to create a free EBRAINS account (https://www.ebrains.eu/page/sign-up) in advance. Synopsis: Neuroscientists today face challenges in managing the growing volume and complexity of data generated through rapid technological and methodological advancements and sophisticated experimental paradigms. Data management tools and methods provide indispensable solutions for researchers to efficiently handle, organize, and analyze datasets, facilitating model validation, refinement, and simulation, while fostering collaborations. This tutorial presents examples combining multiple tools synergistically into a complete digitized workflow to help researchers manage and control data and analysis processes. - GIN is a platform for version-controlled (git and git-annex) data management and collaboration. It supports any file types and folder structure, provides web and command-line access, provides an option for local installation, and services including format validation and data publication (DOI). - odML is an open, lightweight, and flexible format that provides a common schema (with implementations in XML, JSON, and YAML) to collect, organize and share metadata in a human- and machine-readable way. - NIX is a lean data model and file format for storing fully annotated scientific datasets, i.e., the data together with rich metadata (odML) and their relations in a consistent, comprehensive format. - Neo provides programmatic data objects for working with and representing electrophysiological data and can read data from many proprietary formats. In combination with NIX, Neo makes electrophysiological data interoperable with generic analysis scripts, tools, and services. - Elephant provides a large portfolio of standard and advanced methods for analyzing data from neuronal spike trains or time series data, such as LFPs. The Neo data model makes them easily accessible to scientists and applications. - Alpaca enables simple capture of human-readable provenance of the data processing workflow. Organizers: - Reema Gupta, Faculty of Biology, Ludwig-Maximilians-Universität München - Moritz Kern, Institute of Neuroscience and Medicine (INM-6/10), Jülich Research Centre - Michael Denker, Institute of Neuroscience and Medicine (INM-6/10), Jülich Research Centre - Thomas Wachtler, Faculty of Biology, Ludwig-Maximilians-Universität München

July 5, 2023

Fully funded PhD fellowships in computational neurosciences (Benoit Cottereau’s team, Cerco, CNRS UMR 5549 in Toulouse and IPAL IRL 2955 in Singapore) on spatial cognition with spiking neural networks

by COTTEREAU Benoît

Fully funded PhD fellowships in computational neurosciences (Benoit Cottereau’s team, Cerco, CNRS UMR 5549 in Toulouse and IPAL IRL 2955 in Singapore) on spatial cognition with spiking neural networks Starting date: Second semester of 2023 Supervisors: Benoit Cottereau, research director at CNRS (Contact: benoit.cottereau(a)cnrs.fr<mailto:benoit.cottereau@cnrs.fr>), in close collaboration with Robby Tan, associate professor at National University of Singapore (NUS) Keywords: Computational neurosciences, Spatial cognition, Artificial intelligence (AI), Vision, Spiking neural networks, Event-based cameras. Fully funded PhD fellowships are available to work at the CNRS (Cerco laboratory in Toulouse and also IPAL in Singapore) under the supervision of Benoit Cottereau (CNRS research director), in close collaboration with Robby Tan (assistant professor at NUS, Singapore). The aim of the project is to develop computational models of spatial cognition in humans (e.g., for depth/motion perception or navigation). In order to reproduce the very low energy consumption of visual information processing in biological systems, these models will be based on spiking-neural networks (SNNs) and will process data collected from event-based cameras. These models will be evaluated with respect to biological data (their responses will be compared to those observed in neural recordings and/or in behavioural experiments). The candidates should be willing to work in an international environment which involves Singapore and France, have a good level in English, very good programming skills and be interested in neurobiology. Some knowledge in neurosciences/ cognitive sciences would be a plus. The research will mainly take place in Toulouse, a student city (Toulouse is the second university hub in France) with high quality of life located in the south west of France (close to the Pyrenees, the Mediterranean Sea and the Spanish border). Long stays in Singapore (a multicultural and attractive city of south-east Asia) are also planned. Each of the three positions will be fully funded during the three years of the PhD, with standard French salaries. Applications should be sent to benoit.cottereau(a)cnrs.fr<mailto:benoit.cottereau@cnrs.fr>, including a CV and 2 names of references. **************************************************************************************************** Benoit R. Cottereau, PhD, HDR, CNRS Research director (DR2) at the Brain and Cognition Research Center (CerCo, CNRS, UMR 5549, Toulouse): http://cerco.cnrs.fr/page-benoit-cottereau/ Director of the SV3M team (Spatial Vision in Man, Monkey and Machine): http://cerco.cnrs.fr/en/sv3m-spatial-vision-in-man-monkey-machine/ Supervisor of the Integrative Neurosciences master program of Toulouse III University e-mail: benoit.cottereau(a)cnrs.fr phone: (+33)-5-62744520

July 5, 2023

Postdoctoral Researcher position at Goettingen Campus Institute for Dynamics of Biological Networks, University of Goettingen

by von Behren, Christina

Dear Scientists, The Göttingen Campus Institute for Dynamics of Biological Networks (CIDBN)<https://www.uni-goettingen.de/de/608362.html> invites applications for a position of Postdoctoral Researcher in Computational Biophysics (all genders welcome) The position will be full-time (currently 39,8 hours/week), German pay grade 13 TV-L, starting as soon as possible. The CIDBN Department "Physics of Biological Systems", headed by Prof. Fred Wolf, offers a fixed-term contract until June 30, 2025 with the perspective of an extension commensurate with building a competitive track record at the frontier of computational biophysics and neural circuit theory. Information is processed in brain circuits through the coordinated action of large-scale circuits of neurons and synapses. Ultimately, it is the nano-scale molecular architecture of neuronal synapses that can make or break the power of neural circuit computation. Progress in a broad suite of nanoscopy techniques is currently uncovering the molecular-level design of synapses subserving functions such as working memory or sensory coding. The spatio-temporal operation of these nano-machines and the efficiency of their design, however, remain to be understood and are core research aims of the Göttingen Collaborative Research Centre (CRC) 1286 "Quantitative Synaptology"<https://www.sfb1286.de/?lang=en>. We are inviting applications from theoretical biophysicists, molecular systems biologists, or computational scientists with an ambition to pioneer computational studies of synaptic functional design. We offer a stimulating environment of theoretical neuroscientists, neural data-scientists, and cutting-edge experimentalists associated with CRC 1286. In addition, the institute provides dedicated support for high-performance computing. We are dedicated to supporting the growth of original research personalities at the frontier of computational science and neural circuit theory. The successful applicant will hold an excellent PhD in physics, applied mathematics, computer science, or equivalent, and have a strong interest in high-performance computing in neuroscience or cellular systems biology. We expect excellent analytical and coding skills, interest in working in a transdisciplinary team as well as excellence in scientific writing and reasoning. Experience in non-equilibrium statistical physics, stochastic dynamics, membrane biophysics, ion-channel and biochemical kinetics, buffered Ca-diffusion, and Ca-exocytosis coupling would be advantageous. The Göttingen Campus is a leading center of neuroscience in Europe hosting numerous internationally renowned research institutions, including the University, the University Medical Center, two life science Max Planck Institutes, the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience Göttingen. The CIDBN is a newly founded transdisciplinary institute whose mission is to foster frontier research at the border of the exact and biological sciences. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference. Please send your e-mail application in one single PDF-document, including a letter of motivation, your curriculum vitae with a list of publications, copies of your certificates and contact information of two references to cidbn(a)uni-goettingen.de<mailto:cidbn@uni-goettingen.de> (subject: Postdoc CIDBN). The position remains open until filled. Georg-August-Universität Göttingen Göttingen Campus Institute for Dynamics of Biological Networks Heinrich-Düker-Weg 12, 37073 Göttingen. If you have any questions, please contact Prof. Fred Wolf via e-mail: fred.wolf(a)ds.mpg.de<mailto:fred.wolf@ds.mpg.de>. Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Hinweisblatt zur Datenschutzgrundverordnung (DSGVO) https://www.uni-goettingen.de/hinweisdsgvo <https://www.uni-goettingen.de/hinweisdsgvo%20> Best regards, Christina von Behren ------ Goettingen Campus Institute for Dynamics of Biological Networks Bernstein Center for Computational Neuroscience Goettingen University of Goettingen Heinrich-Dueker-Weg 12 37073 Goettingen Germany Tel.: +49-(0)551-39-26674

July 4, 2023

PLOS Complex Systems is coming!

by Hocine Cherifi

View this email in your browser <https://view.e.plos.org/?qs=dee8047ee42f8224301af96522f8b69a270a53ce74ede07…> [image: PLOS] <https://click.e.plos.org/?qs=e061474313b570c1a547d4ee8221ae589c93c76242c1d0…> *Announcing PLOS Complex Systems* *A new home for complex systems research that transcends disciplines* Dr Cherifi, We’re proud to announce *PLOS Complex Systems*, a forthcoming new journal to complement our existing portfolio and continue our mission to support research communities around the globe. *PLOS Complex Systems* <https://click.e.plos.org/?qs=e061474313b570c1405def8d96d43bf81f83b9b03ed88c…> will publish research of broad significance that untangles the complex systems at the heart of the world we live in. Open Science options at every stage of research communication facilitate new connections that inspire ideas and accelerate progress across disciplines while cross-fertilizing knowledge that enable solutions to fundamental challenges facing our society today. Find out more <https://click.e.plos.org/?qs=e061474313b570c1405def8d96d43bf81f83b9b03ed88c…> [image: Hocine Cherifi] *“I am thrilled to be part of the launch of *PLOS Complex Systems*, a significant step forward in understanding the intricacies of our world. This journal has the power to break down disciplinary boundaries and encourage researchers to approach problems holistically. Together, we have the opportunity to shape the future of complex systems research and make a lasting impact on scientific understanding and societal progress.”* *- Hocine Cherifi, Editor-in-Chief* Want to learn more?Find out more about the scope of *PLOS Complex Systems*, our Editor-in-Chief, and other relevant journal information on our website. Start here <https://click.e.plos.org/?qs=e061474313b570c1405def8d96d43bf81f83b9b03ed88c…>

July 4, 2023

Postdoc at NYU

by Grace Lindsay

The Lindsay Lab is hiring a postdoc! Work in the lab focuses on using artificial neural networks as models of the brain. A potential postdoc should be interested in working on a project that could fit into either of the first two research areas listed here: https://lindsay-lab.github.io/research/ (specifically, modeling attention in artificial neural networks or testing tools of neural analysis on artificial neural networks). To apply, send a CV, half page project proposal & contact info for 3 references to grace.lindsay(a)nyu.edu with subject "Postdoc Application" -- Grace Lindsay Assistant Professor, Psychology & Data Science New York University gracewlindsay.com lindsay-lab.github.io *Models of the Mind: How Physics, Engineering and Mathematics Have Shaped Our Understanding of the Brain* <https://gracewlindsay.com/2021/02/10/models-of-the-mind-how-physics-enginee…>

July 3, 2023

PhD candidate on machine learning for normative modeling of functional brain activity -1 fte 4 years

by Mostafa Kia

Dear Colleagues, We are excited to announce an excellent opportunity for an enthusiastic Ph.D. candidate to join our team at the computation psychiatry group at the Department of cognitive science and artificial intelligence, Tilburg University. We are currently seeking a candidate to undertake normative modeling on big MEG/EEG data, a captivating research area with vast potential for precision psychiatry. As a Ph.D. candidate in this role, you will have the chance to apply state-of-the-art machine learning techniques on big MEG/EEG data, contributing to the advancement of our understanding of the biological underpinnings of mental disorders. Your research will focus on responsible normative modeling, allowing for valuable insights and potential applications of machine learning for precision psychiatry. We are looking for a candidate who possesses a strong background in machine learning, probabilistic data modeling, and neuroimaging. Proficiency in data analysis techniques, programming skills, and experience with MEG/EEG data will be advantageous. For more information regarding this vacancy, please consult the original call at https://www.academictransfer.com/en/329751/phd-candidate-on-machine-learnin… . Best regards, Seyed Mostafa Kia <https://research.tilburguniversity.edu/en/persons/seyed-mostafa-kia>, PhD Assistant Professor Department of Cognitive Science & Artificial Intelligence <http://www.csai.nl/> Tilburg School of Humanities and Digital Sciences Warandelaan 2, 5037 AB, Tilburg, The Netherlands

July 3, 2023