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Neurotheory postdoc opportunities in San Diego
by Ann Kennedy Dec. 9, 2024

Dec. 9, 2024

The Kennedy lab is recruiting for multiple funded postdoctoral positions in theoretical and computational neuroscience, following our recent lab move to Scripps Research in sunny San Diego, California. Ongoing projects in the lab span topics in reservoir computing, reinforcement learning/control theory analysis of complex behavior, neuromechanical whole-organism modeling, computational behavior analysis, and joint analysis/modeling of neural and behavioral data collected in socially interacting animals. We have newly acquired funding to characterize progression of behavioral phenotypes in Parkinson’s, to model cellular/circuit mechanisms underlying internal state-dependent changes in neural population dynamics, and to characterize the neural and behavioral dynamics of pairs of interacting animals across multiple species. We also have openings for machine learning work in imitation learning/generative modeling of mouse social interactions using a massive 15-lab dataset. Projects are flexible and can be tailored to applicants’ research and training goals, and there are abundant opportunities for new collaboration with local experimental groups. San Diego has a fantastic research community and very high quality of life, with excellent support for international students at Scripps. Our campus is located at the Pacific coast, at the northern edge of UCSD not far from the Salk Institute. The Neuroscience department at Scripps is a powerhouse in the study of the nervous system’s sensing of and interaction with the rest of the body, making it an ideal environment for the study of internal state-dependent modulation of behavior. We offer competitive postdoctoral stipends that reflect coastal cost-of-living expectations and include a relocation bonus, with research professorship positions available for qualified applicants. More information about the lab at https://www.kennedylab.org. Please email Ann Kennedy akennedy(a)scripps.edu<mailto:akennedy@scripps.edu> with inquiries. Ann Kennedy Associate Professor Dorris Neuroscience Center The Scripps Research Institute La Jolla, CA 92037 kennedylab.org<https://www.kennedylab.org/>

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World wide VVTNS series: Wednesday, December 11, 2024, at 11:00 am EST| Noam Sadon-Grosman ELSC, The Hebrew University of Jerusalem
by David Hansel Dec. 8, 2024

Dec. 8, 2024

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Noam Sadon-Grosman ELSC, The Hebrew University of Jerusalem on the topic of Somatomotor to Higher Order Cognition - The Detailed Organization of the Human Cerebellum that implement computation The lecture will be held on zoom on Wednesday, December 11, 2024, at *11:00 am EST * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: * The cerebellum is long known for its somatomotor functions. Recent evidence has converged to suggest that major portions of the human cerebellum are linked to cognitive and affective functions. In this talk, I will present new insights into the functional organization of the human cerebellum. Our findings reveal three distinct somatomotor representations, including a newly identified third map that is spatially dissociated from the two well-established body representations. Between these body representations, a large megacluster extending across Crus I/II was consistently found with subregions linked to higher-order cerebral association networks. Within this megacluster, specific regions responded to domain-flexible cognitive control, while juxtaposed regions differentially responded to language, social, and spatial/episodic task demands. Similarly organized clusters also exist in the caudate consistent with the presence of multiple basal ganglia–cerebellar–cerebral cortical circuits that maintain functional specialization across their entire distributed extents. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ

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Daniel Messinger speaking on December 12 in Developing Minds global online lecture series
by Jochen Triesch Dec. 6, 2024

Dec. 6, 2024

Dear colleagues, On December 12, the Developing Minds global online lecture series is proud to host Daniel Messinger, Department of Psychology, University of Miami, Florida, United States, USA, speaking on: "Does Interaction Drive Development? Lessons from infant emotion, autism, and preschool language“ Thursday, December 12, 2024 9:00 am EST (Eastern Standard Time, US) 14:00 UTC (Universal Coordinated Time) 15:00 CET (Central European Time) 23:00 JST (Japan Standard Time) The zoom link/credentials are: https://uni-frankfurt.zoom-x.de/j/66558045290?pwd=Ien7tEzqeNGOdqHi7zKg4EJuY… Meeting-ID: 665 5804 5290 Kenncode: 753667 Abstract: A dynamic systems perspective suggests that developmental achievements are composed of a progression of real-time interactions. But evidence supporting this surmise is not common. Dr. Messinger employs machine learning of audio, video, and ultrawideband signals in naturalistic contexts to highlight the role of individual and interactive dynamics in constituting developmental outcomes. He will discuss a series of salient examples linking the emergence of interactive competencies with developmental outcomes. These include the emergence of interactive smiling and attachment, as well as the emergence of autism and preschool language competencies. Dr. Messinger will conclude with a discussion of the strengths and limitations of current empirical research linked to dynamic systems and developmental cascades perspectives. Short Bio: Dr. Daniel Messinger is a professor and Director of the Child Division in the Department of Psychology at the University of Miami where he is the Director of the Social and Behavioral Sciences Program at the Institute for Data Science and Computing. He employs computational approaches to big behavioral data to understand the interactive origins of social, language, and emotional development. His research focuses on social and communicative development in typically developing children, children with hearing loss, children with autism spectrum disorder (ASD), and children whose communicative development is affected by prenatal drug exposure and poverty. The talk will be recorded and made available for later viewing. For more information on the talk series and recordings of previous events, please visit: https://sites.google.com/view/developing-minds-series/home Best regards, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Chair for Theoretical Life Sciences Frankfurt Institute for Advanced Studies and Goethe University Frankfurt http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

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Women in Memory Research 2025 - WiMR2025
by Vinita Samarasinghe Dec. 4, 2024

Dec. 4, 2024

*Women in Memory Research 2025* The research unit “Constructing scenarios of the past” seeks to promote women in memory research. The program WiMR 2025 is made possible through a grant from the German Research Foundation (DFG) and collaboration with the Ruhr University Bochum. Come and learn what an academic career looks likeand discover its advantages. During your week at the Ruhr University Bochum (RUB)you will participate in GEM 2025 where you will hear about the latest research in generative episodic memory, be given the opportunityto present your research and meet with female scientists from the field. Before and after GEM you'll be introduced to Bochum, the RUB and the FOR 2812 labs <https://for2812.rub.de/projects/>. Our participating senior scientists include: Ali Boyle, London School of Economics; Iris Engelhard, Utrecht University; Xenia Kobeleva, Ruhr U. Bochum; Sabine Seehagen, Ruhr U. Bochum; Kristina Liefke, Ruhr U. Bochum. Sounds exciting? *Who can apply:* Womenmasters students in their final year of study and recently graduated masters students who are looking into an academic career in the area of memory research/neuroscience. Applicants must have excellent grades and be able to communicate in English. Selection of participants is competitive. We only have 12 spots! *How to apply:* Send your application including a one page letter of motivation, a current CV, masters transcripts and a letter of recommendation from one of your professors. Your application should be sent, as a single PDF document, to Vinita Samarasinghe @ for2812+gem(a)rub.de <mailto:for2812@rub.de> by February 15, 2025 with the subject line "WiMR - application". If you need child care or any other support please note this in your application. Applications will be evaluated and ranked after the deadline has passed and notifications will be sent out by 28.02.2025. If you accept, you must register for GEM 2025. *What to expect from us:* We will provide bed and breakfast (single occupancy), cover travel costs (restrictions apply) and provide some meals. The program is offered in English. *What we expect from you:* You are present for all of the program and that you present your current research in the form of a poster at GEM 2025. *Tentative program: * 02.06.2025 AM Welcome to Bochum PM GEM 2025 03.06.2025 GEM 2025 04.06.2025 AM GEM 2025 PM Fireside chat with senior memory researchers 05.06.2025 Lab visits 06.06.2025 Workshop *Questions? * Visit our website at https://for2812.rub.de/wimr2025 for more information. Please feel free to get in touch with Vinita Samarasinghe (for2812(a)rub.de <mailto:for2812@rub.de>) 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 D-44801 Bochum Tel: +49 (0)234 32 27996 Email:samarasinghe@ini.rub.de

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PhD Opportunity at the University of Bristol: Investigation of traumatic memory processing during sleep using through advance machine learning
by Eleonora Russo Dec. 3, 2024

Dec. 3, 2024

The University of Bristol is pleased to offer a fully-funded PhD position to study the processing of traumatic memories during sleep using advanced machine learning techniques. The successful candidate will be supervised by an interdisciplinary team of experimental and computational neuroscientists, including Dr. Ross Purple, Dr. Sean Froudist-Walsh, and Dr. Eleonora Russo. This project will also involve collaboration with the Sant’Anna School of Advanced Studies in Pisa, Italy. Application deadline is 4pm Monday 6th January 2025. Find more information at: https://www.findaphd.com/phds/project/funded-phd-decoding-the-processing-of… For enquiries, please contact: Dr Ross Purple https://research-information.bris.ac.uk/en/persons/ross-j-purple Dr. Eleonora Russo https://www.santannapisa.it/en/eleonora-russo Dr Sean Froudist-Walsh https://research-information.bris.ac.uk/en/persons/sean-froudist-walsh --------------------------------------------------------------------------------------------------------------------- Eleonora Russo, Ph.D. PI of the Brain Dynamics Laboratory Assistant Professor at Sant’Anna School of Advanced Studies, The BioRobotics Institute, P.za Martiri della Liberta', 33 56127 Pisa, Italy

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Seizure detection challenge (2025)
by Jonathan Dan Dec. 3, 2024

Dec. 3, 2024

Hello, EPFL is organizing a competition in collaboration with the International Conference on Artificial Intelligence in Epilepsy and Other Neurological Disorders. The competition aims to develop epileptic seizure detection algorithms for assisting in the analysis of scalp electroencephalography. It is open to anyone with skills in machine learning and artificial intelligence. This competition should help identify algorithms well suited for hospital adoption while simultaneously pushing for open and reproducible science. You will find a description of the competition on https://epilepsybenchmarks.com/challenge Hurry up! We are expecting algorithm submissions by 16 February 2025. Happy hacking Jonathan Dan Post-Doc ESL-EPFL

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Postdoc and PhD call | Spatiotemporal dynamics and computation in cortical networks
by Lyle Muller Dec. 2, 2024

Dec. 2, 2024

Postdoctoral and graduate research positions are available at Western University<http://mullerlab.ca/> (London, ON) and the Fields Lab for Network Science<http://www.fields.utoronto.ca/activities/fields-lab-network-science> (Toronto, ON). These positions will be supervised by Lyle Muller and involve collaborations with advanced methods of brain imaging (Mark Schnitzer, Stanford), neuroengineering (Duygu Kuzum, UCSD), theoretical neuroscience (Todd Coleman, Stanford), and neurophysiology of visual perception (John Reynolds, Salk Institute for Biological Studies). In collaboration with this multi-disciplinary team, researchers will bring together data science, computational science, and applied mathematics to understand spatiotemporal dynamics and computation in the circuits of neocortex. The project may include intermittent travel between labs to present results and facilitate collaborative work. Recent publications from the lab include: * Davis Z*, Muller L*, Martinez-Trujillo J, Sejnowski TJ, Reynolds J (2020) Spontaneous traveling cortical waves gate perception in awake behaving primates. Nature 587: 432 – 436.<https://www.nature.com/articles/s41586-020-2802-y> * Benigno G, Budzinski RC, Davis Z, Reynolds J, Muller L (2023) Waves traveling over a map of visual space can ignite short-term predictions of sensory input. Nature Communications 14: 3409. <https://www.nature.com/articles/s41467-023-39076-2> * Liboni L*, Budzinski RC*, Busch AN*, Löwe S, Keller TA, Welling M, Muller L (2023) Image segmentation with traveling waves in an exactly solvable recurrent neural network. arXiv:2311.16943.<https://arxiv.org/abs/2311.16943> * Busch A*, Roussy M*, … Mináč J, Sachs AJ, Palaniyappan L, Muller L*, Martinez-Trujillo JC* (2024) Neuronal activation sequences in lateral prefrontal cortex encode visuospatial working memory during virtual navigation. Nature Communications 15: 4471.<https://www.nature.com/articles/s41467-024-48664-9> * Budzinski RC*, Busch A*, Mestern S, Martin E, Liboni LHB, Pasini FW, Mináč J, Coleman T, Inoue W, Muller L (2024) An exact mathematical description of computation with transient spatiotemporal dynamics in a complex-valued neural network. Communications Physics 7: 239.<https://www.nature.com/articles/s42005-024-01728-0> Prior experience with scientific computing, signal analysis, and applied mathematics is preferred. Western University offers an excellent research environment and support. Candidates can write to lmuller2(a)uwo.ca<mailto:lmuller2@uwo.ca> with a CV and short statement of interest. Both the lab and the University are deeply committed to fostering diversity and scientific outreach. Applications from underrepresented groups are strongly encouraged, and any interested applicants are welcomed to write the PI directly with questions about the research environment. -- Lyle Muller http://mullerlab.ca

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Permanent position in mathematical stochastic modeling of neuromodulation
by Axel Hutt Dec. 2, 2024

Dec. 2, 2024

------------------------------------------------------------------------------------ Permanent position in mathematical stochastic modeling of neuromodulation in brain networks and application to mental disorders ------------------------------------------------------------------------------------ The new research team NECTARINE at INRIA in Strasbourg / France aims to create a synergy between clinicians and mathematical researchers to develop new healthcare technologies. The team works on stochastic microscopic network models to describe macroscopic experimental data, such as behavior and/or encephalographic. They collaborate closely with clinicians and choose their research focus along the clinical applications. Major scientific objectives are stochastic multi-scale simulations and mean-field descriptions of neural activity on the macroscopic scale. Moreover, merging experimental data and numerical models by machine learning techniques is an additional objective. The team's clinical research focuses on neuromodulation of patients suffering from deficits in attention and temporal prediction. The team offers the possibility to apply for a permanent position as Chargé de Recherche (CR) or Directeur de Recherche (DR) in the research field of mathematical neuroscience with a strong focus on stochastic dynamics linking brain network modelling with experimental data. The new colleague should have a strong expertise in mathematical modeling with a focus on stochastic nonlinear dynamics and/or network dynamics, as well as strong interest in clinical applications. Strong programming skills are mandatory. INRIA is a French National Institute for Research in Digital Science and Technology ( [ https://www.inria.fr/en | https://www.inria.fr/en ] ) with 9 research centres in France. The new team will be located in the centre of Strasbourg on the hospital campus as part of the Research Centre in Nancy. The application deadline will be January 15, 2025 , but it is strongly recommended to contact us well in advance. For more details or sending your application documents (motivation letter, CV including publication list), please contact Dr. Axel Hutt (email: axel.hutt(a)inria.fr ) . -- Axel Hutt Directeur de Recherche Equipe MIMESIS INRIA Nancy Grand Est Bâtiment IHU 1, Place de l'Hopital 67000 Strasbourg, France [ https://mimesis.inria.fr/members/axel-hutt/ | https://mimesis.inria.fr/members/axel-hutt/ ]

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Postdoctral position at the Department of Biomedical Data Science, School of Medicine, Fujita Health University (FHU), Aichi, Japan
by 浦久保秀俊 Dec. 2, 2024

Dec. 2, 2024

We invite applications for an enthusiastic postdoctoral researcher in the area of computational neuroscience or systems biology. A new collaborative project with Kyushu U (#) has been launched to elucidate biochemical signaling involved in the development of the olfactory system. We are working on a project to simulate how neural circuits in the brain acquire function through development. As an example, we are focusing on the process of mitral cell dendritic pruning that leads to the acquisition of odor selectivity (Fujimoto 2023, Dev Cell 58, 1221–1236). This process is governed by the coupling of biochemical signaling of small G proteins and neuronal electrical activity. In addition, the neural circuit simulation will be performed to elucidate the emergent process of odor information processing. The NEURON simulator or other platform simulators will be useful for this project. (#) Grant-in-Aid for Transformative Research Areas(A), Japan Society of the Promotion of Science (JSPS), Japan. https://plaza.umin.ac.jp/dynamic-brain/en/ 1. Job title Full-time Postdoctoral Researcher 2. Begin date January 1st 2025 or later (negotiable) 3. Appointment period Annually renewed based on evaluation. Up to March/2029. 4. Workplace Fujita Health University (FHU), Aichi, Japan https://www.fujita-hu.ac.jp/en/ 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi 470-1192, Japan 5. Qualifications Applicants must: - have Ph.D. (or be near the completion of the degree). - have strong motivations and ambitions to participate in the research above. 6. Compensation Salary will be commensurate with qualifications and experience. Social insurance will be applied. Days off include public holidays, New Year's holidays (Dec. 29 - Jan 3), summer vacation, and sick leave. These and other provisions are in accordance with FHU regulations. 7. Required documents Please send the following five materials to the email address below: 1. Complete CV 2. List of publications 3. Reprints of 1 to 3 major publications 4. Document (one or two pages in A4 or letter size) describing: - Summary of your previous research and current interest. - Relevance to the project research and potential contributions. Describe your skills in neuronal and neural circuit simulations and their relevance to Fujimoto 2023 (Dev Cell 58, 1221-1236). - Technical skills (programming skills, etc). 5. One letter of recommendation, if available, from the current supervisor. 8. Selection Selection will be made based on application screening and interviews. 9. Others No smoking allowed on the premises of FHU. 10. Application and Contact Hidetoshi Urakubo, Ph.D. Email: hidetoshi.urakubo(a)fujita-hu.ac.jp Department of Biomedical Data Science, School of Medicine, Fujita Health University (FHU), 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi 470-1192, Japan Phone: +81-562-93-9628 https://researchmap.jp/urakubo?lang=en https://www.fujita-hu.ac.jp/~datascience/

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Fully funded 3-year PhD scholarships in computational neuroscience, neurotechnology and AI available
by Wong-Lin, Kongfatt Dec. 1, 2024

Dec. 1, 2024

============================================================== Professor KongFatt Wong-Lin has several fully funded 3-year PhD research scholarships in computational neuroscience, neurotechnology and AI available. He is the lead/main supervisor for two of the available PhD scholarships on bridging fundamental cognitive computational neuroscience of decision-making and learning to brain-inspired AI algorithms. Applications are available from 2nd December 2024 at: * https://www.ulster.ac.uk/doctoralcollege/find-a-phd/11b-intelligent-systems… [Open to international or UK/Ireland applicants; deadline: 24th February 2025] * https://www.ulster.ac.uk/doctoralcollege/find-a-phd/11b-intelligent-systems… [Open to international or UK/Ireland applicants; deadline: 24th February 2025] Two other PhD scholarships are also available on neurotechnology and machine learning: * https://www.ulster.ac.uk/doctoralcollege/find-a-phd/11b-intelligent-systems… [Open to international or UK/Ireland applicants; deadline: 24th February 2025] * https://www.ulster.ac.uk/doctoralcollege/find-a-phd/11b-intelligent-systems… [Open only to UK/Ireland applicants; deadline 9th Jan 2025] Please kindly direct any queries to Prof. Wong-Lin (k.wong-lin(a)ulster.ac.uk) Many thanks. The research teams involved in the PhD projects: * https://www.ulster.ac.uk/research/topic/computer-science/intelligent-system… * https://www.ulster.ac.uk/research/topic/computer-science/intelligent-system… Our School and its Intelligent Systems Research Centre (https://www.ulster.ac.uk/research/topic/computer-science/intelligent-system…) have neuroscience and AI related research communities and facilities in: * NeuroAI and computational neuroscience * Brain-computer interfaces/non-invasive neurotech * MEG and EEG brain imaging * Neuromorphic computing * Cognitive robotics * High-performance computing ----------------- In 2021, Ulster University was, in the UK: * ranked 2nd for Ph.D. researcher satisfaction * 6th largest Computer Science and Informatics unit * 7th for world-leading or internationally excellent research and impact with respect to staff number. Derry~Londonderry is a vibrant, friendly and affordable city with ~100K people with high quality of life, close to stunning coastline and outdoor activities in the north and north-west of Northern Ireland and Republic of Ireland. Ulster University has recently been awarded by Times Higher Education as the 'University of the Year 2024', the top higher education institution in the UK and Ireland. ============================================================== Professor KongFatt Wong-Lin Intelligent Systems Research Centre School of Computing, Engineering and Intelligent Systems Ulster University, Derry~Londonderry, UK E-mail: k.wong-lin(a)ulster.ac.uk Web: https://www.ulster.ac.uk/staff/k-wong-lin 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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World wide VVTNS series: Wednesday, December 4, 2024, at 11:00 am EST| Laura Driscoll Allen Institute
by David Hansel Dec. 1, 2024

Dec. 1, 2024

[image: VVTNS.png] https://www.wwtns.online <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Laura Driscoll Allen Institute on the topic of Task structure shapes underlying dynamical systems that implement computation The lecture will be held on zoom on Wednesday, December 4, 2024, at *11:00 am EST * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *The talk will be in two parts. 1) First, I will present published work on multitasking artificial recurrent neural networks that revealed "dynamical motifs". Dynamical motifs are recurring patterns of network activity that implement specific computations through dynamics, such as attractors, decision boundaries and rotations. Motifs are reused across tasks and reflect the modular subtask structure of commonly studied cognitive tasks. We believe this compositional structure to be a feature of most complex cognitive tasks. This work establishes dynamical motifs as a fundamental unit of compositional computation, intermediate between neuron and network. 2) Building on these insights, we are now investigating whether shared dynamical motifs can explain the effectiveness of curriculum learning in animal behavior. Also known as animal shaping, curriculum learning is a training approach where complex tasks are learned in stages through a series of subtasks. Our work provides a novel framework for analysis of neural and behavioral data and has the potential to guide the design of optimal training protocols for both artificial systems and for animals. *About VVTNS : Launched as the World Wide Theoretical Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ

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Postdoc in animal behaviour at Bristol University
by Conor Houghton Nov. 30, 2024

Nov. 30, 2024

We have a new BBSRC funded project that will develop automated methods to quantify reward learning in chickens and dogs as well as expanding studies in mice. The project will involve both behavioural studies and working with engineers to develop novel automated devices to test reward learning in animals with minimal human interactions. The ultimate goal will be to validate methods for the unbiased assessment of animal welfare. This is an exciting opportunity to study behaviour in non-laboratory conditions and across species, including in chickens, an endlessly fascinating social animal. We are looking for someone interested in animal behaviour and keen to work on novel devices; we welcome applicants with a computer science or engineering background who is excited to be involved in experiments, or someone with an experimental background eager to learn a bit of programming and some modelling. Deadline 2024-12-17, details at https://www.bristol.ac.uk/jobs/find/details/?nPostingId=185738&nPostingTarg… and feel free to email me, as co-I, or Emma Robinson the PI (emma.s.j.robinson(a)bristol.ac.uk) for any informal queries. All the best Con ______________________________ Conor Houghton SEMT, Bristol University. Michael Ventris Building, Woodland Road BS8 1UB, Bristol conorhoughton.github.io pronouns: he / him

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Post-Doct Position in brain-inspired AI development at University of California, San Francisco (UCSF) and Lawrence Berkeley National Laboratory (LBNL)
by Kirst, ChrIstoph Nov. 30, 2024

Nov. 30, 2024

Post-Doctoral Researcher at UCSF and Lawrence Berkeley National Laboratory in brain inspired AI development – start date ASAP Position Description We are seeking a postdoctoral researcher for a three-year project within the Kirst lab at University of California, San Francisco (UCSF) and the Lawrence Berkeley National Laboratory (LBNL) located in San Francisco and Berkeley, California, USA. The project is at the interface between brain-inspired AI-Development and energy efficient neuro-morphic hardware development. Start date is as soon as possible (date may be negotiable) and will last for approximately 36 months. The post-doctoral researcher will join a team of researchers at UCSF and LBNL to develop on a new brain inspired AI technology for fast long sequence processing with applications to neuroscience, neuro-prosthetics and well as edge computing applications, including analysis of large data streams form X-ray microscopy and spectroscopy performed at LBNL. The AI technology will be co-developed to run on energy efficient neuro-morphic hardware based on CMOS and superconducting electronics with teams at LBNL and University of Southern California. A mix of theoretical, algorithmic and AI development work is expected, as well as communicating closely with our hardware teams. We are interested in maintaining the rich diversity in our work teams and encourage applications from all interested candidates. Qualifications The ideal candidate will have a PhD, strong quantitative, dynamical systems, computational neuroscience, and machine learning skills, experience in developing AI models, and enthusiasm for advancing AI hardware technologies. The candidate should be creative, enjoy problem-solving, and developing new tools, and be prepared to collaborate within a larger team with diverse expertise. Appropriate background/training includes systems or engineering, physics, machine learning and data science, as well as computer science. Application Instructions Please send your motivation letter, CV with publication list, one-page personal research statement, and contact information of three referees, to with subject line “[CV-POSTDOC] <Your Name>” to christoph.kirst(a)ucsf.edu Job Type: 100% Work Location: In person or remote (within the USA) Funding: The project is a collaborative project funded by the Department of Energy's Advancements in Artificial Intelligence for Science program. Christoph Kirst Assistant Professor Department of Anatomy Kavli Institute for Fundamental Neuroscience University of California San Francisco Faculty Scientist Lawrence Berkeley National Laboratory Sandler Neuroscience Building 675 Nelson Rising Lane, Suite 514G San Francisco, 94158, CA, USA Phone: 415-502-7372 https://profiles.ucsf.edu/christoph.kirst [cid:5776af05-17bc-46c3-9061-4f3a4a9ee2c9]

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2024 Bonsai Developer Conference
by Joaquin Rapela Nov. 29, 2024

Nov. 29, 2024

Hello, We are excited to invite you to the 2024 Bonsai Developer Conference, taking place from December 2nd to 4th, 2024, at the Sainsbury Wellcome Centre in London, UK. This event brings together neuroscience researchers, computational scientists, and software engineers with a shared interest in the Bonsai visual reactive programming language. The conference program and additional details can be found at https://conference.bonsai-rx.org/2024/ About Bonsai ------------ Bonsai https://bonsai-rx.org/ is an open-source reactive visual programming language widely use for neuroscience experimental control. Differently from standard programming languages where control flow is specified by composing sequences of instructions, and checking conditional loops for the occurrence of events, in reactive languages https://introtorx.com/ the control flow is specified by composing event streams. By placing asynchronous data streams front and centre, it becomes much easier to succinctly build complex programs manipulating hundreds of parallel data sources and controllers while retaining interoperability and modularity. Bonsai is a visual programming language where programs are laid out graphically. Each node represents a data stream, and edges represent input dependencies between streams. Parameters can be manipulated dynamically and every stream can be inspected at runtime. This graphical approach allows users with no programming experience to create complex asynchronous programs, and experienced Bonsai users to very quickly deploy and manage entire systems and applications. Bonsai is able to interface with a large number of experimental hardware for neuroscience experimental control, allowing researchers to easily build sophisticated experiments. We look forward to see you in London! Best regards, Goncalo Lopes g.lopes(a)neurogears.org Nicholas Guilbeault n.guilbeault(a)ucl.ac.uk Joaquin Rapela j.rapela(a)ucl.ac.uk

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Tenure-Track, Assistant/Associate Professor in Computational Neuroscience
by Kenneth Kishida Nov. 27, 2024

Nov. 27, 2024

I’m very excited to announce a new recruitment effort in the Department of Translational Neuroscience at Wake Forest University School of Medicine. I’m chairing an inclusive and diverse search committee with the hopes of expanding computational neuroscience in our highly collaborative and supportive department. Please read more and repost this ad for a new tenure track (Asst/Assoc) faculty position. Please follow the link here: Computational Neuroscience Job Posting<https://emis.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1…> -- Kenneth T. Kishida, PhD (he/him) Associate Professor Wake Forest University School of Medicine Department of Translational Neuroscience Department of Neurosurgery Department of Biomedical Engineering Bowman Gray Center for Medical Education, 475 Vine St. Winston Salem, NC 27101 office: 336-716-0419 lab: 336-716-8537 email: kkishida(a)wakehealth.edu https://school.wakehealth.edu/Faculty/K/Ken-Kishida (viz: www.kishidalab.com<http://www.kishidalab.com> ) ________________________________ This electronic message is intended only for the use of the individual(s) and entity named as recipients in the message. If you are not an intended recipient of this message, please notify the sender immediately and delete the material from any computer. Do not deliver, distribute or copy this message, and do not disclose its contents or take any action in reliance on the information it contains. Thank you.

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GEM2025 - Conference on generative episodic memory - call for abstracts
by Vinita Samarasinghe Nov. 27, 2024

Nov. 27, 2024

The DFG-funded research consortium “FOR 2812 – Constructing scenarios of the past” is proud to announce a *call for abstracts* for its biennial conference “/Generative Episodic Memory: Interdisciplinary perspectives from neuroscience, psychology and philosophy/” *GEM 202**5.* It will be held *in person* at the Ruhr University Bochum, Germany from 2^nd to 4^th June, 2025. For more information please visit https://for2812.rub.de/gem2025. Episodic memories are widely regarded as memories of personally experienced events. Early concepts about episodic memory were based on the storage model, according to which experiential content is preserved in memory and later retrieved. However, overwhelming empirical evidence suggests that the content of episodic memory is – at least to a certain degree – constructed in the act of remembering. Even though very few contemporary researchers would oppose this view of episodic memory as a generative process, it has not become the standard paradigm of empirical memory research. This is particularly true for studies of the neural correlates of episodic memory. Further hindering progress are large conceptual differences regarding episodic memory across different fields, such as neuroscience, philosophy, and psychology. This interdisciplinary conference therefore aims to bring together researchers from all relevant fields to advance the state of the art in the research on generative episodic memory. *Keynote speakers: * Ali Boyle (LSE); Neil Burgess (UCL); Iris Engelhard (U. Utrecht); Johannes Mahr (York U.); Jeremy Manning (Dartmouth) *Funding for early career researchers is available *(visit our ECR page <https://for2812.rub.de/gem2025/early_career_researcher_programs> for more details). *Abstract* submission deadline: 15.03.2025 Submission guidelines: Abstracts must be submitted in English and be no longer than 500 words. Submitted work must be original and unpublished and submitted electronically at https://www.conftool.net/gem202 <https://www.conftool.net/gem2023/>5/ <https://www.conftool.net/gem2023/>. Types of submissions: * Talk * Symposium: Must comprise 3 talks and be interdisciplinary in nature, i.e., talks must cover at least two of the following disciplines: computational neuroscience, philosophy, psychology, neuroscience. * Poster /*For more information please visit https://for2812.rub.de or contact Vinita Samarasinghe at for2812(a)rub.de*/ Kind regards, Vinita -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27996 Email:samarasinghe@ini.rub.de

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Looking for a lead designer at Thinking About Thinking (educational neuroAI non-profit that organizes conferences)
by Ruairidh Battleday Nov. 26, 2024

Nov. 26, 2024

Dear Mind, Brain, and AI researchers, We very much enjoyed meeting many of you at Thinking About Thinking <http://www.thinkingaboutthinking.org/> events this past year, with some still to come in Boston <http://www.algopreneurship.ai/>! We are an educational non-profit that holds open-access research conferences and Summits on foundational computational questions in cognitive science, neuroscience, and machine learning / AI. At Thinking About Thinking we are scaling up, aiming to run more, larger open-access events and beginning to produce extra content---podcasts, blogs, interviews, etc. As part of that process, we are looking for a lead designer (who would be paid on a per-hour basis, but be a full part of the ThAT team). It is very important to us to have someone that understands cognitive science, neuroscience, and AI to do the design work, as we are very keen on keeping these sets of concepts at our core. If you think you are that person, want to join an extremely fun team working at the cutting-edge of science and society, or know anyone that might, please do reach out! Many thanks for the attention, and all the best! Ruairidh and the Team -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking (www.thinkingaboutthinking.org) Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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CFP - 2025 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO 2025)
by nagai.yukie＠mail.u-tokyo.ac.jp Nov. 26, 2024

Nov. 26, 2024

Dear colleagues, 2025 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO 2025) July 17th-19th, 2025, Osaka, Japan https://ieee-arso.org Advanced robots are expected to enter in promising applications in our future society and bring substantial impacts. The increasing implementation of AI-based components even broaden their fields of application. To ensure that these impacts are positively reflected, today, we need to extend views not only on technical aspects but also on social challenges that we might face, including safety, regulation, ethics, human factors, and philosophy. The topics of ARSO 2025 include, but are not limited to the following: • Human-robot interaction in physical & psychological aspects • Safety standards for advanced robots & autonomous systems • Legal and ethical issues for advanced robots • Impact of robotics on society, e.g. robot business, marketing & economic impact • Robotics for sustainability, climate change or civil aid • Advanced industrial robots for future manufacturing • Healthcare & medical applications • Rehabilitation and transfer robotics • Service & assistance applications • Entertainment & education robotics • Robotics & autonomous driving • Bio-inspired robotics • Soft and wearable robotics Important Dates: Submission of Organized Session Proposal: Jan. 15, 2025 Initial Paper Submission: Feb. 28, 2025 Workshop Proposal Submission: Feb. 28, 2025 Notification of Paper Acceptance: Apr. 28, 2025 Final Paper Submission: May 30, 2025 General Chairs: Minoru Asada, Japan Silvia Rossi, Italy Program Chairs: Kensuke Harada, Japan Emel Demircan, USA Astrid Weiss, Austria Best regards, Yuji Kawai and Yukie Nagai, Publicity Chairs of ARSO2025 — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | https://developmental-robotics.jp CREST Cognitive Feelings: https://cognitive-feeling.jp CREST Cognitive Mirroring: https://cognitive-mirroring.org

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PhD Opportunity: Machine Learning Methods for Invariant Representations
by Georgios Exarchakis Nov. 25, 2024

Nov. 25, 2024

Dear all, The *University of Bath* invites applications for a fully-funded PhD position in *Machine Learning*, as part of the prestigious *URSA competition*. This project focuses on developing *interpretable machine learning methods* for high-dimensional data, with an emphasis on recognizing symmetries and incorporating them into efficient, flexible algorithms. *Key Details* * *Supervisory Team*: Dr. Georgios Exarchakis & Prof. Michael Tipping * *Research Focus*: Interpretable and deep learning methods, feature learning, and invariant representations * *Applications*: Astronomy, quantum chemistry, medical imaging, computer vision, and more This PhD position offers the opportunity to work within a leading research environment, using state-of-the-art tools such as TensorFlow, PyTorch, and Scikit-Learn. The research outcomes have potential applications in diverse fields, and students are encouraged to bring creative and interdisciplinary approaches to problem-solving. *Eligibility* Applicants should have a strong academic background in Mathematics, Physics, Computer Science, or related fields (First Class or Upper Second Honours or equivalent). A master’s degree is advantageous. Non-UK applicants must meet the English language requirements. *Funding* The studentship covers tuition fees, a stipend of *£19,237 p.a.*, and access to a training support budget for 3.5 years. For more information and details on how to apply, visit UniversityofBathPhDOpportunities <https://www.findaphd.com/phds/project/faculty-of-science-ursa-phd-project-m…>, or send an email to Georgios Exarchakis at ge394(a)bath.ac.uk. Applications close on *December 6, 2024.* Best, Georgios* *

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Post-doc position at EPFL on Computational Visual Neuroscience
by Dimitri Van De Ville Nov. 24, 2024

Nov. 24, 2024

Dear Comp-Neuro community, Kindly find a job ad for a post-doc position at EPFL on Computational Visual Neuroscience below. Best wishes, Dimitri — Post-Doctoral Researcher at EPFL on Computational Visual Neuroscience – start date ASAP Position Description We are seeking a postdoctoral researcher for a one-year (renewable) project within the MIP:Lab of the Ecole Polytechnique Fédérale de Lausanne (EPFL) located at the Campus Biotech in Geneva, Switzerland. The project is at the interface between an industrial partner (Dandelion Science) and the MIP:Lab headed by Prof. Dimitri Van De Ville. Start date is as soon as possible (date may be negotiable) and will last for approximately 15 months. At the end of the postdoc, there will be an opportunity to join the company as an employee. The post-doctoral researcher will join a team of academic and industrial group members to work on new computational modeling frameworks for rapidly time-varying functional networks in late sensory and non-sensory cortex in the context of biofeedback-influenced video viewing. A mix of theoretical, algorithmic, and empirical work is expected, in collaboration with an industrial partner in the healthcare technology/AI field providing behavioral and neural (streaming M/EEG) data. Some first-hand behavioral and neural data (M/EEG) is also expected to be acquired in the M/EEG Platform at the Campus Biotech. We are interested in maintaining the rich diversity in our work teams and encourage applications from all interested candidates. The salary range at EPFL is competitive and the quality of living in Switzerland is outstanding. Qualifications The ideal candidate will have a PhD, strong quantitative, signal processing, and machine learning skills, data analytic expertise (Python and Matlab), and enthusiasm for broadly advancing the treatment of neurological disorders. Experience with neuroimaging is required, preferably with human subjects. The candidate should be creative, enjoy problem solving, and be prepared to collaborate within a larger team with diverse expertise. Experience in commercial biomedical development is also preferred. Appropriate background/training includes systems or engineering, physics, machine learning and data science, as well as cognitive neuroscience. Application Instructions Please send your motivation letter, CV with publication list, one-page personal research statement, and contact information of three referees, to with subject line “[CV-POSTDOC] <Your Name>” to dimitri.vandeville(a)epfl.ch Job Type: 100% Work Location: In person — Dimitri Van De Ville Professor, Fellow IEEE & EURASIP Neuro-X Institute EPFL - Ecole Polytechnique Fédérale de Lausanne Professor, Department of Radiology and Medical Informatics University of Geneva Switzerland URL: http://miplab.epfl.ch/ Twitter: @dvdevill

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apply to ITCN at Penn
by Maria Neimark Geffen Nov. 22, 2024

Nov. 22, 2024

The Computational Neuroscience Initiative <https://www.cni.upenn.edu/> at the University of Pennsylvania offers a new program for Interdisciplinary Training in Computational Neuroscience (ITCN) at the doctoral level. The goal of the ITCN is to train a new generation of scientists who will make quantitative links between properties of the brain and properties of the mind. ITCN trainees will learn to use computational methodology to interpret experimental results, build predictive models of brain function that inform the design of the experiments, and support an ever-growing list of applications from brain-machine interfaces in the clinic to cutting-edge forms of artificial intelligence. The ITCN brings together students and faculty <https://www.cni.upenn.edu/people> from Penn’s PhD programs in Neuroscience <https://www.med.upenn.edu/ngg/> (Biomedical Graduate Studies, Perelman School of Medicine), Bioengineering <https://be.seas.upenn.edu/doctoral/> (School of Engineering and Applied Science), Physics <https://www.physics.upenn.edu/graduate/> (School of Arts and Sciences), and Psychology <https://psychology.sas.upenn.edu/graduate> (School of Arts and Sciences). To join the ITCN, students first apply to one of those "home" PhD programs. Once admitted, students then typically apply to the ITCN before starting classes in their first year. Those selected meet with the ITCN Advisory Committee, both individually and as a group, to develop individualized training plans that meet the goals and requirements of the ITCN and each student’s home program. These plans include coursework, research, and other activities that aim to build both expertise in computational neuroscience and a sense of community in the ITCN. Details are provided below. The ITCN embraces diversity and inclusion in their many forms, including welcoming students with a broad range of personal, professional, and academic backgrounds into both our training program and the field of computational neuroscience as a whole. *Application. *The application deadline is Dec. 1 for the Penn PhD programs! Prospective PhD students must first apply and be accepted into one of our participating graduate programs: Neuroscience <https://www.med.upenn.edu/ngg/>, Bioengineering <https://be.seas.upenn.edu/doctoral/>, Physics <https://www.physics.upenn.edu/graduate/>, or Psychology <https://psychology.sas.upenn.edu/graduate> (PhD students admitted to other PhD programs at Penn may also be considered; see below for additional requirements). Students typically apply to the ITCN before starting classes in their first PhD year, although we will also consider applications from students in more advanced years who believe they will be able to meet our academic requirements. Selection into the ITCN does not require a background in computational neuroscience. Instead, we require: 1) a brief (~½ page) essay describing why you want to join the ITCN and how it would fit into your training and career plans; 2) written permission from your Graduate Chair (and, for MD-PhD or VMD-PhD students, the Director of your Combined Degree Program); and 3) if you are not in one of our four participating programs, descriptions of the funding source(s) and course and research requirements for your home PhD program. Please send your application materials, and/or any questions, to Vijay Balasubramanian <vijay(a)physics.upenn.edu>, Maria Geffen <mgeffen(a)pennmedicine.upenn.edu>, and/or Joshua Gold <jigold(a)pennmedicine.upenn.edu>.

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Allen Institute Modeling Software Workshop 2025 - and a brief survey
by Anton Arkhipov Nov. 22, 2024

Nov. 22, 2024

Dear Colleagues, Join us at the Allen Institute Modeling Software Workshop<https://alleninstitute.org/events/2025-modeling-software-workshop/> on July 28-30, 2025 at the Allen Institute in Seattle, WA! And whether applying to the Workshop or not, please help us understand what the field needs by filling out this brief survey<https://forms.office.com/pages/responsepage.aspx?id=1pxmMn9zOUuL3daVESDT_M4…>. That will be very helpful to guide our work. About the Workshop This hands-on workshop focuses on building and simulating complex and heterogeneous network models grounded in real biological data. Participants will learn to use BMTK, SONATA, VND, our data, and models for simulating brain circuits. Applications<https://alleninstitute.submittable.com/submit/306603/2025-allen-institute-m…> are due March 15th, 2025! Selected applicants will be notified by May 1, 2025. Limited travel funding is available. We are looking forward to hearing from you. Best regards, Anton. Anton Arkhipov Investigator, Allen Institute antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> alleninstitute.org<https://alleninstitute.org/> brain-map.org<https://portal.brain-map.org/>

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IMPRS for Language Sciences PhD Fellowships 2025
by Lam, Kevin Nov. 21, 2024

Nov. 21, 2024

** IMPRS for Language Sciences PhD Fellowships 2025 ** The International Max Planck Research School (IMPRS) for Language Sciences is offering two fully-funded PhD Fellowship for four years (2025-2029) with a preferred start-date in September or October, 2025. The goal of the scheme is to enable young researchers to pursue interdisciplinary research projects in the language sciences, supervised by leading scientists at the Max Planck Institute for Psycholinguistics and its partner institutes at the Radboud University -- the Centre for Language Studies and the Donders Institute for Brain, Cognition and Behaviour. https://www.mpi.nl/ | https://www.ru.nl/cls | https://www.ru.nl/donders Find out more about the Fellowships and read first-hand accounts of our members: https://www.mpi.nl/imprs-phd-fellowships-2025 | https://www.mpi.nl/imprs The application deadline is 6 January, 2025. Thanks in advance. Best wishes from Nijmegen, Dr. Kevin Lam, Graduate School Coordinator http://www.mpi.nl/imprs | https://www.mpi.nl/people/lam-kevin

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Global Summit on Open Problems for AI. Museum of Science, Boston, 4-6th December.
by Battleday, Ruairidh Nov. 20, 2024

Nov. 20, 2024

Global Summit on Open Problems for AI. Museum of Science, Boston, 4-6th December. What are the next set of challenges for AI algorithms? What are the open problems in regulation & application? We are most excited to announce the Algorithmic Innovation and Entrepreneurship Global Summit on Open Problems for AI <http://www.algopreneurship.ai>. Join the USA’s leading AI researchers, policy makers, and entrepreneurs in this global Summit over three days of keynote talks, panels, and breakout sessions. Day 1 - Algorithms We ask what the fundamental challenges for developing AI algorithms are, as well as promising avenues for overcoming them. We’ll be hearing from Professor Aaron Courville (MILA), Professor Hidenori Tanaka (NTT & Harvard), Dr James Whittington (Oxford & Stanford & Zyphra), Dr Jonathan Richard Schwarz (Thomson Reuters), Dr Zi Wang (Google DeepMind) Panel on “Is this the end of Scale?” (Stanford, MIT, Kempner Institute Harvard, DeepMind, MosaicML, PillarVC) Panel on “How Should We Fund AI Research?” (Harvard Kempner Institute, Convergent Research, DeSciNYC, Advaita Capital, Flagship Pioneering) Day 2 - Ethics We ask what the fundamental ethical challenges and opportunities are for AI. Professor David Duvenaud (Toronto & Anthropic), Professor Alex "Sandy" Pentland (MIT), Dr William Casey King (Yale & Microsoft), Patricia Thaine (Private AI), Jurgita Miseviciute (Proton), Dr Aleks Jakulin (data.flowers) & Han Sheng Chia (Center for Global Development) Panel: Micro Ethics - What Can Individual Researchers Do for Ethical AI? Chair: Nicolay Hagen (NTNU) Panel institutions: Toronto, MIT, Harvard, Private AI, Anthropic, Context Fund Panel: Meso Ethics - What Can Organizations Do for Ethical AI? Chair: Professor Skyler Wang (McGill) Panel institutions: Microsoft Research, Northeastern University, Proton, Data.Flowers Panel: Macro Ethics - If AI is the answer, what is the question? Chair: Saima Fancy (Women in AI Ethics & Women in AI Governance) Panel institutions: McKinsey, Operation Hope AI Ethics Council, Center for Global Development, Academy Day 3 - Applications We ask what the fundamental challenges and opportunities are in applications for social good. Keynotes: AI for Science team (OpenAI), Dennis R. Mortensen (LaunchBrightly), Samuel Colvin (Pydantic), Professor Andreea Bobu (MIT), Professor Agata Lapedriza (Institute for Experiential AI), Dr Anna Litvak-Hinenzon (AL-Tech AI) Lightning talks: David Rose (LookOut), Albert Chen (Anago), Trevor Keith (Codapt), Waleed Atallah (Maco), Kachina Studer (Harvard/MIT), Dr Mireia Torello (AIKreate), Tanay Wakhare (Stealth) Expert session: AI & Medicine Professor Marzyeh Ghassemi (MIT), Professor Dan Nicolau Jr (Kings College London), Dr Alex Oshmyansky (Cost Price Drugs), Dr Clara-Lea Bonzel (Harvard), Anna Marie Wagner (DARPA & BOLD Corporation), Dr Salim Afshar (Harvard & RevealHealthtech), Thiri Shwesin Aung (Global Impact Assessment), Grigori Guitchounts (Flagship Pioneering) This should be an exciting and productive event, and we expect an audience of 400 of the USA’s best AI researchers and entrepreneurs, at student, early-stage, and full career levels. Student day tickets: $10 Early bird day: $20 Ruairidh <https://www.linkedin.com/in/ruairidh-battleday-648a2b65/>, James <https://www.jcrwhittington.com/>, and Dan <https://www.kcl.ac.uk/people/dan-nicolau> Thinking About Thinking <https://www.thinkingaboutthinking.org/> -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking, Inc <https://thinkingaboutthinking.org> Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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PhD position - Memory - Neural Computation Group - Max Planck Institute CBS, Leipzig
by Andrej Bicanski Nov. 19, 2024

Nov. 19, 2024

Dear colleagues, I am advertising a PhD position in computational neuroscience in my group (Neural Computation) - fully funded (3 years) - at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig. The position is part of an international collaborative effort (4 labs) to test and develop further computational models of episodic and spatial memory by combining human intracranial electrophysiology and computational models. Specifically, the project will explore computational/neural mechanisms underlying cognitive maps, spatial (and episodic) memory, and navigation. The candidate will have two main tasks: 1. develop new and improve existing models, 2. co-develop an analysis pipeline for human single units. Prerequisites are outstanding records in an area relevant to neuroscience. A strong quantitative background in the natural sciences, mathematics, computer science or engineering is also suitable (e.g., physics, mathematics, electrical engineering etc.). Excellent programming skills (Python, Matlab) are required. This project is part of an international collaboration with the Universities of Bonn (Prof. Lukas Kunz), Berlin (Prof. Richard Kempter), and Columbia (Prof. Josh Jacobs). Please direct potential candidates to the ad at: https://www.cbs.mpg.de/stellenmarkt/stellenangebote Reference: PhD17/24 The intended starting dates are as early as possible in 2025. Applications will be considered as long as the above advert is up. You can read more on the group here: https://www.cbs.mpg.de/psychology/neural-computation Best wishes, Andrej Bicanski -- Dr. Andrej Bicanski Neural Computation Group Max Planck Institute for Human Cognitive and Brain Sciences Stephanstrasse 1a, 04103 Leipzig, Germany Email: bicanski(a)cbs.mpg.de <mailto:bicanski@cbs.mpg.de> Tel.: +49 (0)341 9940197

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