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Postodoc Research Fellow Position at Birkbeck/UCL, London, UK
by Fabrizi, Lorenzo July 1, 2024

July 1, 2024

Dear all, Please see below for a postdoctoral position at the Centre for Brain and Cognitive Development, Birkbeck University of London with Prof. Emily Jones (with co-I’s Dr Lorenzo Fabrizi at University College London and Dr Judith Meek at University College London Hospital). Postdoctoral Researcher at Centre for Brain and Cognitive Development (1864) - Birkbeck, University of London<https://cis7.bbk.ac.uk/vacancy/postdoctoral-researcher-at-centre-for-brain-…> cis7.bbk.ac.uk<https://cis7.bbk.ac.uk/vacancy/postdoctoral-researcher-at-centre-for-brain-…> The project will be examining sensory processing in infants born prematurely and later trajectories of neurodevelopment, using a variety of neurocognitive methods. Infants were recruited as neonates and the postholder will be leading and conducting the follow up visits (when the infant is 18 months). The post would suit someone who is interested in infant development, neurodevelopmental conditions and has experience with infant/toddler EEG and eye tracking. Closing date: 24th July, online interviews: 26th July Lorenzo Fabrizi, PhD Associate Professor Medical Research Foundation Fellow Neuroscience, Physiology and Pharmacology Department Room G17A, Medawar Building Bloomsbury Campus University College London Gower St, London WC1E 6BT office tel. 02031081888 (int. 51888)

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Open PhD position at the University of Bern
by jeanpascal.pfister＠unibe.ch July 1, 2024

July 1, 2024

The Theoretical Neuroscience Group of the University of Bern is seeking applications for a PhD position, funded by a Swiss National Science Foundation grant titled “Why Spikes?”. This project aims at answering a nearly century-old question in Neuroscience: “What are spikes good for?”. Indeed, since the discovery of action potentials by Lord Adrian in 1926, it has remained largely unknown what the benefits of spiking neurons are, when compared to analog neurons. Traditionally, it has been argued that spikes are good for long-distance communication or for temporally precise computation. However, there is no systematic study that quantitatively compares the communication as well as the computational benefits of spiking neuron w.r.t analog neurons. The aim of the project is to systematically quantify the benefits of spiking at various levels by developing and analyzing appropriate mathematical models. The PhD student will be supervised by Prof. Jean-Pascal Pfister (Theoretical Neuroscience Group, Department of Physiology, University of Bern). The project will involve close collaborations within a highly motivated team as well as regular exchange of ideas with the other theory groups at the institute. The PhD candidates should hold a Master degree in Physics, Mathematics, Computer Science, Computational Neuroscience, Neuroscience or a related field. She/he should have keen interests in developing theories that can be tested experimentally. Preference will be given to candidates with strong mathematical and programming skills. Expertise in stochastic dynamical systems, point processes, control theory, information theory and nonlinear Bayesian filtering will be a plus. The applicant should submit a CV (including contacts of two referees), a statement of research interests, marks obtained for the Master, and the abstract of the Master thesis in electronic format to Jean-Pascal Pfister (jeanpascal.pfister(a)unibe.ch<mailto:jeanpascal.pfister@unibe.ch>) The position is offered for a period of three years and can be extended. Salary scale is provided by the Swiss National Science Foundation (http://www.snf.ch/SiteCollectionDocuments/allg_doktorierende_e.pdf) The application deadline is August 8, 2024, or until the position is filled. ---------------------------------- Prof. Jean-Pascal Pfister Theoretical Neuroscience Group Department of Physiology University of Bern Bühlplatz 5 3012 Bern, Switzerland https://physio.unibe.ch/~pfister/group/ Tel: ++ 41 31 631 87 78

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Postdoc in physics-based machine learning jointly with the MedTech industry
by Erik Fransén June 30, 2024

June 30, 2024

Postdoc in physics-based machine learning jointly with the MedTech industry Are you looking for a postdoc combining academic research in machine learning with close collaboration with the industry? Do you want to join our research group at KTH developing fundamental machine learning times series algorithms and the team at Getinge producing the next generation ventilators for the intensive care? Are you passionate about physical simulation and proficient in parameter estimation? If so, we believe you will find our project developing a digital twin of the respiratory system a perfect match. Find the ad and apply: https://kth.varbi.com/en/what:job/jobID:739922/ Best regards, Erik Fransén and Elira Maksuti

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Online Vocational Internship: Python programing and Hypothesis Testing
by PRANAV NERURKAR June 28, 2024

June 28, 2024

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

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Early bird registration CLOSING TOMORROW
by INCF June 27, 2024

June 27, 2024

Join us at the INCF Neuroinformatics Assembly 2024 <https://neuroinformatics.incf.org/> on Sep 23-25 at the University of Texas at Austin! Early bird registration <https://neuroinformatics.incf.org/register> closes tomorrow - register before end-of-day on Fri Jun 28 to get the early bird price! The INCF Assembly is a unique venue where neuroscience standards developers, infrastructure providers, and software developers have the opportunity to interact with the research community to share the latest advancements in neuroinformatics. The meeting is followed by 3 training courses: Driving collaboration in neurophysiology with NWB and DANDI, Introduction to reproducible neuroimaging data processing and analysis, and DataJoint pipelines for your neuroscience experiments on Sep 26-27. This year's theme Brain Meets AI: Pioneering the Future of Neuroinformatics Our keynote speakers are Elisabeth Bik (Microbiome Digest), Timo Dickscheid (Jülich Research Cente), Hanchuan Peng (SEU-ALLEN Joint Center), Danilo Bzdok (Mila - Quebec Artificial Intelligence Institute), and Viktor Jirsa (Institut de Neurosciences des Systemès). See you at Assembly 2024! /The INCF Team

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Advanced Neural Data Analysis and Neuroinformatics School (ANDA-NI) - Apply by July 31, 2024!
by Michael Denker June 27, 2024

June 27, 2024

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Deadline approaching - Bernstein Conference 2024
by Alexander Lammers June 27, 2024

June 27, 2024

The deadline for the submission of poster abstracts for the Bernstein Conference 2024 is approaching! Abstract submission: https://bernstein-network.de/bernstein-conference/abstract-submission/<https://bernstein-network.de/bernstein-conference/registration/> ____ Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries. Conference website: https://bernstein-network.de/bernstein-conference/ ____ IMPORTANT DATES * Poster abstract submission deadline: Jul 10, 2024 (15:00 CEST) * Early registration deadline: Jul 31, 2024 (23:59 CEST) * Late registration deadline: Sep 11, 2024 (23:59 CEST) * Bernstein Conference: Sep 29 – Oct 2, 2024 ____ INVITED SPEAKERS Dmitriy Aronov (Columbia University, USA) Helen Barron (University of Oxford, UK) Elizabeth Buffalo (University of Washington, USA) Alex Cayco Gajic (Ecole Normale Supérieure, France) Jan Drugowitsch (Harvard University, USA) Jakob Macke (University of Tübingen, Germany) Tirin Moore (Stanford University, USA) Mala Murthy (Princeton University, USA) Memming Park (Champalimaud Foundation, Portugal) Susanne Schreiber (Humboldt Universität zu Berlin, Germany) Xiao-Jing Wang (New York University, USA) ____ CONFERENCE COMMITTEE Matthias Kaschube (Conference Chair) Srdjan Ostojic (Program Chair) Tatiana Engel (Program Vice Chair) Maria Eckstein (Workshop Chair) Wiktor Młynarski (Workshop Vice Chair) & Athena Akrami, Mehrdad Jazayeri, Jennifer Li, Scott Linderman, Ashok Litwin-Kumar, Ida Momennejad, Christina Savin, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de<mailto:bernstein.conference@fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Karsten Beneke (stellv. Vorsitzender), Prof. Dr. Ir. Pieter Jansens ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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2024 Brain-Score Benchmarking Competition -- Deadline coming up
by Martin Schrimpf June 27, 2024

June 27, 2024

[Image] The Brain-Score Benchmarking Competition<https://www.brain-score.org/competition/> aims to find behavioral and neural benchmarks on which the predictions of our current top models break down. We are entering the final week of the 2024 competition - please submit your benchmarks to highlight the flaws in current state-of-the-art models of vision (and win prizes)! In 2022, the first Brain-Score Competition led to new and improved models of primate vision that predicted existing benchmarks reasonably well. In this year's Brain-Score Competition 2024, we are closing the loop on testing model predictions by rewarding those benchmarks that show where models are the least aligned to the primate visual ventral stream. The Competition is open to the scientific community and we provide an infrastructure to evaluate a variety of models on new behavioral and neural benchmarks in a standardized and unified manner. In addition, we will incentivize benchmark submissions by providing visibility to participants and a $10,000 prize pool<https://www.brain-score.org/competition/#tracks> to the winning benchmarks. Submissions<https://www.brain-score.org/profile/vision/> are open until June 30, 2024. For regular updates related to the competition, please follow Brain-Score on Twitter<https://twitter.com/brain_score> and join our community<https://www.brain-score.org/community>. Good Luck! Competition Tracks * Behavioral: This track will reward those benchmarks that show-case model short-comings in predicting behavior (human or non-human primate). The winning submissions will be the behavioral benchmarks with the lowest model scores, mean-averaged over all models, i.e. as close as possible to 0. The benchmarks can target any behavioral task that the models engage on (labeling, class probabilities, odd-one-out ; see the model interface<https://brain-score.readthedocs.io/en/latest/modules/model_interface.html#b…>). 1st prize: $3,000; 2nd prize: $2,000. * Neural: This track will reward those benchmarks that show-case model short-comings in predicting neural activity across the primate visual ventral stream. The winning submissions will be the neural benchmarks with the lowest model scores, mean-averaged over all models, i.e. as close as possible to 0. The benchmarks can target any region(s) in the visual ventral stream: V1, V2, V4, IT (see the model interface<https://brain-score.readthedocs.io/en/latest/modules/model_interface.html#b…>). Brain recordings can be from human or non-human primates. 1st prize: $3,000; 2nd prize: $2,000.

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PhD position in Computational Neuroscience, TU Berlin, Germany
by Klaus Obermayer June 27, 2024

June 27, 2024

Dear moderator, can you post the job announcement below? Thank you very much! Best regards Klaus Obermayer ----------------------------------------------------------------------------------------------------------- *Neural Information Processing Group @ Technische Universität Berlin* *PhD Position in Computational Neuroscience (salary grade E13 TV-L 100%)* *Modelling Neural Population Dynamics and the Effects of External Stimulation* *Faculty IV - Institute of Software Engineering and Theoretical Computer Science / Neural Information Processing Group* *Earliest starting date: *Sept. 1st, 2024 *Period:*5 years *Application Deadline: *July 26, 2024 *Reference number: *IV-307/24** *Working field: *Participation in the projects of the our research group in the field of computational neuroscience on modelling neural dynamics and the effects of external stimulation; collaboration with theoretical, experimental, and clinical research groups of the CRC 1315 (https://www.sfb1315.de/) and the Bernstein Center for Computational Neuroscience Berlin (https://www.bccn-berlin.de/) assistance in the maintenance of the computer infrastructure of the research group; teaching tutorials for introductory courses in programming and algorithms & architectures for non-CS students. For information about our research group see https://www.tu.berlin/en/ni. *Requirements: *Successfully completed university degree (Master, Diplom, or equivalent) in Computational Neuroscience, Computer Science, Electrical Engineering, Mathematics, Physics, or related fields; in-depth knowledge in nonlinear dynamics; a very good command of the English and German languages; the ability to teach in German; very good programming skills. Experience in modelling neural systems and teaching experience are desirable. Please send your application with the usual documents (including CV, transcripts of records, German language certificate for non-native speakers) exclusively by e-mail to Prof. Dr. Klaus Obermayer at *klaus.obermayer(a)tu-berlin.de*.

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Fully funded PhD position in Lifelong Machine Learning at Loughborough University
by Andrea Soltoggio June 26, 2024

June 26, 2024

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

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