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Early Career Research Group Leader Position at Hertie Institute for AI in Brain Health

by Philipp Berens

The “Hertie Institute for AI in Brain Health” (Hertie AI) at the Faculty of Medicine of the Eberhard Karls University Tübingen is funded by the Gemeinnützige Hertie Stiftung to develop AI algorithms, which allows us to detect diseases of the nervous system earlier and to treat them better. Currently, we are seeking to recruit TWO EARLY CAREER RESEARCH GROUP LEADERS (F/M/D) who have recently finished their PhD (<3 years) at the interface of machine learning, neuroscience and clinical applications. We are looking for curious, creative individuals who want to pursue an inspiring research vision based on their track-record of demonstrating the clinical potential of machine learning techniques for better understanding diseases of the nervous system and improving brain health. Potential research topics include but are not limited to: • AI-based analysis of data from wearables, smartphones and other devices for early diagnostics and monitoring therapy success • Machine learning tools for uncovering the genetic and cellular basis of neurological and psychiatric diseases, including AI-enhanced simulations • Use of large-language models in clinical neuroscience We offer an exciting and supportive environment with access to state-of-the-art compute facilities, an initial funding package for 3 years including funding for a PhD student and mentoring and career advice through experienced faculty. Hertie AI closely collaborates with the world-class AI ecosystem in Tübingen (e.g. Cyber Valley, Cluster of Excellence “Machine Learning in Science”, Tübingen AI Center). To apply, please upload a CV (max. 2 pages), a list of publications (max. 2 pages) and a succinct research vision (1 page) as a single file pdf to the e-recruiter platform linked at https://hertie.ai/earlycareer. Application deadline: 8 November 2024 For more information visit https://hertie.ai/earlycareer Questions can be addressed to hertieai(a)medizin.uni-tuebingen.de -- Professor of Data Science, Director Hertie Institute for AI in Brain Health Medical Faculty of the University of Tübingen www.hertie.ai

Oct. 2, 2024

1 PhD position in Digital Health at Potsdam University (HPI)

by Eoli, Andrea

Hi everyone, We’re looking for 1 highly motivated PhD student (d/f/m). If you’re interested -or know someone that could be-, please send the CV, a motivation letter, and a recent transcript of records in PDF to Henrike.Heyne(a)hpi.de<mailto:Henrike.Heyne@hpi.de> The project * Topic: “Predicting epilepsy with clinical data from the Mount Sinai Health System” * Who: Co-supervised by 2 PIs, Henrike Heyne<https://scholar.google.com/citations?user=S0laek4AAAAJ&hl=en> (Potsdam, Germany) and Isotta Landi<https://profiles.mountsinai.org/isotta-landi> (New York City, USA) * Where: HPI at the Potsdam University, including a 1-year stay at the Mt. Sinai Hospital in NYC. * When: start date flexible but ideally ASAP. * Data: real-world structured and unstructured Electronic Health Records, which includes clinical notes, EEG data, and genomic data. * Methods: Disease prediction, deep learning (probably including LLM and image classification). * Funding: Project funded by the Hasso-Plattner Foundation for 3 years (extension possible), travel budget included. Applicants should have * A background in (bio-)informatics, life science, medicine, statistics or related field * Advanced programming skills are a plus (R/python, others) * Experience with genetic and clinical data are a plus * Ability to work independently and in a team * Commitment to an interdisciplinary and international research project * Excellent communication skills in English For any question, please reach out to Henrike.Heyne(a)hpi.de<mailto:Henrike.Heyne@hpi.de> Thanks, Andrea Eoli

Oct. 1, 2024

Tenure-track Assistant Professor in Human Cognition

by Iordan, Coraline Rinn

The University of Rochester’s Department of Brain and Cognitive Sciences seeks to hire an outstanding early-career candidate in the area of Human Cognition. Areas of study may center on any aspect of higher- level cognitive processes such as decision-making, learning and memory, concepts, language and communication, development, reasoning, metacognition, and collective cognition. We particularly welcome applications from candidates researching cognition in human subjects through behavioral, computational or neuroimaging methods. Successful candidates will develop a research program that establishes new collaborations within the department and across the university, and will also be part of a university-wide community engaged in graduate and undergraduate education. The University of Rochester is a distinguished research university, and the Department of Brain and Cognitive Sciences is a dynamic department with interests in the study of perception, motor control, learning, cognition, language, and development through combined neurobiological, computational, and behavioral research (http://www.bcs.rochester.edu/) It offers outstanding opportunities for developing a research program, highly ranked doctoral programs, a vibrant undergraduate major, and a collaborative environment. There is excellent collaboration among faculty across areas, and close ties to other groups in the University, particularly the Center for Visual Science, Neuroscience, Psychology, Education, Psychiatry, the Center for Language Sciences, Computer Science, Data Science, the Eastman School of Music, and Biology. The city of Rochester, NY is a diverse, energetic, LGBTQ+ friendly, and family-friendly community located on Lake Ontario adjacent to the Finger Lakes region with a metropolitan population of 1+ million. Rochester also boasts a thriving arts and music culture, substantial employment opportunities in various sectors, affordable housing, a rich history of social justice, and easy access to urban, suburban, and rural neighborhoods. Candidates should hold a PhD degree (or equivalent) in cognitive science, psychology, neuroscience, linguistics, or another relevant domain, and should have considerable research experience. Applicants should submit a CV, a statement of research and teaching interests, a statement discussing the ways in which the applicant’s experiences will shape their pursuits as a member of our faculty and help them add to the University's core values of Meliora (ever better), three representative publications, and contact information of three referees via the following website: https://apply.interfolio.com/153296. Questions concerning this position can be addressed to Prof. Karl Rosengren (karl.rosengren(a)rochester.edu<mailto:karl.rosengren@rochester.edu>), chair of the search committee, or Prof. Dora Biro (dbiro(a)ur.rochester.edu<mailto:dbiro@ur.rochester.edu>), chair of the Department of Brain and Cognitive Sciences. Rolling review of applications will begin on November 1, 2024. Salary: $106,000 – $111,000 (9-month salary) The referenced pay range represents the full base range of pay for this job. Individual salaries will be determined within the job’s salary range and established based on market data, experience and expertise of the individual, and internal equity considerations. The University of Rochester is an Equal Opportunity Employer with a strong commitment to diversity, and actively encourages applications from candidates from groups underrepresented in higher education. EOE / Minorities / Females / Protected Veterans / Disabled ----------------------------------------------------- Coraline Rinn Iordan, Ph.D., 🏳️‍🌈 she / her ----------------------------------------------------- PI, Naturalistic Cognition Lab Assistant Professor, Brain and Cognitive Sciences Assistant Professor, Neuroscience Affiliated Faculty, Goergen Institute for Data Science University of Rochester ----------------------------------------------------- www2.bcs.rochester.edu/coraline-iordan<http://www2.bcs.rochester.edu/coraline-iordan> -----------------------------------------------------

Oct. 1, 2024

PhD Position in Neuro-Symbolic AI at Ulm University

by Daniel Braun

1x PhD Position (TVöD E13) in Neuro-Symbolic AI University of Ulm Institute of Neural Information Processing Faculty of Engineering, Computer Science and Psychology There is a fully funded PhD position available at the Institute of Neural Information Processing, Ulm University. At the institute we are interested in the mathematical foundations of intelligent behaviour in biological and artificial systems. The PhD topic will revolve around the fundamental question of how the abstraction capabilities of classic symbolic knowledge systems can be combined with the sub-symbolic pattern recognition capabilities of neural networks in order to allow neural networks to take existing knowledge into account when making predictions. The PhD position will be part of the newly established DFG graduate school KEMAI (Knowledge Infusion and Extraction for Explainable Medical AI). The structured PhD programme has a duration of 3 years with the possibility of extending for one more year. The candidate will have the opportunity both to make contributions to fundamental questions in AI and cognitive science and to apply their work directly in the context of medical imaging through collaboration with University Clinic. Within the same broad topic area there is a second PhD position available at the Institute of Medical Systems Biology that includes investigation of genetic markers. The applicants should have a strong mathematical background, hold a degree in natural science, mathematics, economics, psychology, computer science, engineering or similar and have a keen interest in neuroscience and artificial intelligence. The University of Ulm is an equal opportunity employer. Candidates should send a CV and a brief statement of interest to Prof. Dr. Dr. Daniel Alexander Braun daniel.braun(a)uni-ulm.de

Sept. 30, 2024

Fully funded trainee positions at CHINTA, TCG CREST, Kolkata

by Subhasis Ray

<Apologies for cross posting> Dear Colleagues, We are looking for self motivated and talented individuals for trainee positions (Research Assistant, PhD student, and Postdoc) at CHINTA, TCG CREST (https://www.tcgcrest.org/institutes/chinta/) in Kolkata, India in the following groups: Dr Agnik Dasgupta: Seeing is Believing: How does the brain develop in a living animal? We utilize optics and genetics to address this question using zebrafish! https://x.com/Agnik85 Dr Anant Jain: Understanding the mechanisms underlying behaviorally relevant synaptic plasticity using electrophysiology, two-photon imaging and behavior: https://www.tcgcrest.org/people/anant-jain/ Dr Subhasis Ray: Understanding neural circuits through experiments and simulations, developing neuro-simulator and scientific software: https://rayslab.github.io/ We have a rolling intake and the trainees will be fully funded by TCG CREST, with suitable adjustments for international candidates. We offer a highly interdisciplinary environment, with several other institutes under TCG CREST (https://www.tcgcrest.org/) conducting research in a wide range of areas such as AI, applied mathematics, and quantum computing. So in addition to biological sciences, students from diverse backgrounds like engineering, physics, chemistry, mathematics, and computer science, are welcome. Please spread the word to anybody who might be interested. Best, Agnik, Anant, and Subhasis ... PS : "Chinta" means "thought" in Sanskrit and related languages.

Sept. 29, 2024

Neurtex Manual Spike Sorting Contest

by Peter N. Steinmetz

I am writing to share a contest that students and postdocs (and possibly others) may be interested in. The Neurtex Manual Spike Sorting Contest is designed to assess how accurately spike sorting works in human intracranial microwire recordings and offers a $5000 first and other prizes. In the contest, participants are asked to perform spike sorting using any method they choose to identify spiking activity in 120 channels. These channels are a mixture of simulated and real recordings so accuracy can be judged directly for the simulated channels. Further details are available at https://neurtex.org/neurtex-manual-spike-sorting-contest/ . If you feel that others may be interested, a small poster announcing the contest which you can use to spread awareness of this opportunity is available at https://neurtex.org/wp-content/uploads/2024/07/Flyer.pdf . cheers, Peter -- Peter N. Steinmetz, MD, PhD Chief Scientist, Neurtex Brain Research Institute PeterNSteinmetz(a)steinmetz.org http://steinmetz.org/peter<https://www.postbox-inc.com>

Sept. 27, 2024

PhD-Researcher and Lecturer, Neurocomputation of Language, Tilburg University (1.0 fte, six years)

by Harm Brouwer

PhD-Researcher and Lecturer, Neurocomputation of Language, Department of Cognitive Science and Artificial Intelligence (1.0 fte, six years) The Neurocomputation of Language (NCL) lab from the Department of Cognitive Science & Artificial Intelligence (CSAI) at Tilburg University invites applications for a 6-year position. The successful applicant for this position would spend 60% of their time as a PhD student and 40% as a lecturer. The PhD project would be determined by the successful applicant and the lab director but should employ advanced statistical modeling and/or neurocomputational modeling to address one or more of the core themes of the lab: the nature and time course of language comprehension, the neural representation and computation of meaning, and the cortical organization of the language network. The educational tasks of the candidate could include leading practical sessions, grading assignments and exams, and (eventually) supervising thesis students. Requirements * Master’s degree in (computational) cognitive (neuro)science, neurobiology of language, or a related field. If you expect to obtain your degree before August 2024, you are also eligible. * Good knowledge of statistics and machine learning (practical experience with large language models is a plus). * Excellent knowledge of English and good academic writing skills. What we offer * A full-time position. * The selected candidate will receive a contract for six years. * You will receive a temporary employment contract for the duration of 12 months. A 5-year extension is offered upon a positive assessment. After one year your UFO profile will change to PhD Candidate / Lecturer. In the second year your initial education assignment is 40% and your research assignment is 60%. * A minimum gross salary of €3226- per month up to a maximum of € 4036- in the 6th year. For the duration of 12 months, you are entitled to a allowance. The amount is the difference in salary of scale 10 level 0 and scale PR level 0. * A holiday allowance of 8% and an end-of-year bonus of 8.3% (annually). * Researchers from outside the Netherlands may qualify for a tax-free allowance equal to 30% of their taxable salary (the 30% tax regulation). The University will apply for such an allowance on their behalf. Note that the 30% rule will be scaled back from 1 January 2024. For new applications, during a five-year term, the scheme will gradually decrease to a 10% rule. More specifically, this means that during the first 20 months of the term, 30% of the salary will be reimbursed untaxed. In the next 20 months, this percentage drops to 20% and during the last 20 months, the untaxed reimbursement is 10% of the salary. * Assistance in finding accommodation (for foreign employees). * Benefits such as an options model for terms and conditions of employment and reimbursement of moving expenses, also including excellent technical infrastructure, savings schemes and excellent sports facilities. The collective labor agreement of the Dutch Universities applies. Information and application More detailed project information can be provided on request: please contact dr. Harm Brouwer (h.brouwer(a)tilburguniversity.edu<mailto:h.brouwer@tilburguniversity.edu>), PI of the Neurocomputation of Language lab. To apply, please submit: * a motivation letter in which you describe why you want to be considered for this position, and why you are the right person to do it; * a full curriculum vitae, demonstrating academic excellence, including publications (if applicable); academic transcripts of your Bachelor and Master’s degrees; * a sample of writing, such as your Master’s thesis or a relevant paper; * contact details of two academic referees. The only way to apply is online<https://tiu.nu/22296>. The position is open until filled. The start date is as soon as possible, but in agreement with the candidate. Neurocomputation of Language lab The Neurocomputational of Language (NCL) lab combines neurocomputational modeling with empirical experimentation to investigate the neural basis of language. Grounded in principles of neural information processing, and informed by empirical insights on the nature and time course of comprehension, our models aim to offer mechanistic explanations of how an interpretation is constructed in real time as spoken or written linguistic signal unfolds on a, more or less, word-by-word basis. See the lab website for more information: https://www.tilburguniversity.edu/about/schools/tshd/departments/dca/lab/ne… The department of Cognitive Science & Artificial Intelligence (CSAI) The Cognitive Science and Artificial Intelligence department (https://csai.nl/) at Tilburg University is part of the Tilburg School of Humanities and Digital Sciences. The department emphasizes innovative research spanning a wide array of fields including computational linguistics and language technology, data-science, human-robot interaction, virtual reality and serious games. CSAI is a member of the Benelux Association for Artificial Intelligence, participates in the Special Interest Group for AI (SIG AI), and also participates in the Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE). Tilburg University and the CSAI department offer a vibrant international environment, with current CSAI staff originating from more than 10 countries. Tilburg School of Humanities and Digital Sciences Research and education at the Tilburg School of Humanities and Digital Sciences (TSHD) has a unique focus on humans in the context of the globalizing digital society, on the development of artificial intelligence and interactive technologies, on their impact on communication, culture and society, and on moral and existential challenges that arise. The School of Humanities and Digital Sciences consists of four departments: Communication and Cognition, Cognitive Science and Artificial Intelligence, Culture Studies and Philosophy; several research institutes and a faculty office. Also the University College Tilburg is part of the School. Each year around 275 students commence a Bachelor or (Pre) Master Program. The School has approximately 2000 students and 250 employees. Tilburg School of Humanities and Digital Sciences<https://www.tilburguniversity.edu/about/schools/humanities/> Recruitment code Tilburg University applies the recruitmentcode<https://kmt.nvp-hrnetwerk.nl/download/?id=21374> of the Dutch Association for Personnel Management & Organization Development (NVP). Disclaimer The text of this vacancy advertisement is copyright-protected property of Tilburg University. Use, distribution and further disclosure of the advertisement without express permission from Tilburg University is not allowed, and this applies explicitly to use by recruitment and selection agencies which do not act directly on the instructions of Tilburg University. Responses resulting from recruitment by non-contractors of Tilburg Universities will not be handled. -- Dr. Harm Brouwer | Associate Professor Cognitive Science and Artificial Intelligence | Tilburg University Research Unit Leader | Computational Models of Brain and Behavior Principal Investigator | Neurocomputation of Language lab http://www.hbrouwer.eu/

Sept. 27, 2024

Faculty Position - Computational Neuroscience @ Middlebury College

by Dash, Mike

Dear Colleagues, Middlebury College is currently accepting applications for a tenure-track, computational neuroscientist to begin Fall 2025. If you’re interested in working with talented and motivated undergraduate students, in an academic environment that balances teaching (typically two courses per semester) and research, we encourage you to review our job posting (see below) and apply online: https://apply.interfolio.com/148567 Review of applications begins October 11th, 2024. Thanks, Mike Dash Associate Professor of Psychology and Program in Neuroscience Middlebury College ---------- COMPUTATIONAL NEUROSCIENTIST AT MIDDLEBURY COLLEGE. The Program in Neuroscience invites applications for a tenure-track appointment at the rank of Assistant Professor with a preferred focus in computational neuroscience or neurogenomics, beginning in Fall 2025. The Program in Neuroscience is especially interested in candidates who can contribute to the growing diversity and excellence of the academic community through their teaching, scholarship, and service. Commitment to inclusive pedagogy, mentoring, and advising a diverse population of students is essential. Applicants should have a Ph.D., postdoctoral experience, demonstrated commitment to excellence in teaching, and a proposed research program in computational neuroscience or neurogenomics that involves undergraduate students. The successful candidate is expected to be able to teach a course in cellular and molecular neuroscience and/or behavioral neuroscience. In addition, the candidate will contribute to the neuroscience curriculum with a course in statistics, and an upper-level elective broadly relevant to the field of computational neuroscience or neurogenomics. The candidate will occasionally contribute to Middlebury’s First Year Seminar Program and Winter Term course offerings. All faculty at Middlebury College are also expected to contribute to service to the College including, but not limited to, committee membership and serving as Director or Chair of a Program or Department. Middlebury College is a top-tier liberal arts college with a demonstrated commitment to excellence in both faculty teaching and research. It is also committed to fostering a truly inclusive, open, and supportive learning, teaching, and working environment. The College hires faculty from around the world and a myriad of life experiences, cultures, frames of reference, social identities, and learning perspectives to help cultivate and advance innovation in our curriculum and to provide a rich and varied educational experience to our talented and distinguished student body. To that end, Middlebury College seeks applications from people who would contribute to our increasingly diverse educational community not only through their backgrounds and interests, but in age, gender identity or expression, sexual orientation, ethnicity, national origin, religion, and physical ability.     Middlebury College uses Interfolio to collect all faculty job applications electronically. Email and paper applications will not be accepted. Through Interfolio submit: a letter of application addressed to Professor Mark Spritzer, search committee chair; a curriculum vitae; a statement of teaching philosophy; a statement of research interests and plans; a statement of inclusion; and three current letters of recommendation which speak to teaching ability. At Middlebury, we strive to make our campus a respectful, engaged community that embraces difference, with all the complexity and individuality each person brings. With your application materials, provide a separate statement (1-2 pages) addressing how your teaching, scholarship, mentorship, and/or community service demonstrate a commitment to and/or evidence of engaging with issues of diversity and inclusion. Review of applications will begin on October 11, 2024, and continue until the position is filled. Offers of employment are contingent on completion of a background check. Information on our background check policy can be found here: http://go.middlebury.edu/backgroundchecks. 

Sept. 26, 2024

GCNU-SWC Joint PhD Programme 2025: Applications now open

by Lin, I-Chun

*** Gatsby Unit and Sainsbury Wellcome Centre Joint PhD Programme *** Deadline: 11 November 2024 The Gatsby Computational Neuroscience Unit (GCNU) and Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC) are launching a 4-year joint PhD programme that aims to bridge the gap between theory and experiments. The two centres provide a unique opportunity for a critical mass of theoreticians and experimentalists to interact closely with one another and with researchers at the Centre for Computational Statistics and Machine Learning (CSML) and related UCL departments/domains such as UCL Neuroscience Domain; Artificial Intelligence; the ELLIS Unit at UCL; Computer Science; Statistical Science; and the nearby Francis Crick and Alan Turing Institutes. The joint programme will provide a rigorous preparation for an interdisciplinary research career. The programme blends aspects of the two existing PhD programmes and is designed to immerse students in both experimental and theoretical thinking. Courses in the first year provide a comprehensive introduction to systems neuroscience, theoretical/computational neuroscience, and machine learning. Students will be part of the broader trainee cohort across both centres, interacting and engaging in scientific discussion with both SWC and GCNU researchers with equal emphasis. Applicants should have a strong analytical and mathematical background, a keen interest in neuroscience, and a relevant first degree (e.g., in Computer Science, Cognitive Psychology, Engineering, Mathematics, Neuroscience, Physics, Statistics). Full funding is available regardless of nationality. We also welcome applicants who have secured or are seeking funding from other sources. Applications should be submitted directly to us via the online portal. For programme details (including the key differences between the Gatsby Unit PhD programme, the SWC PhD programme, and the joint programme) and how to apply, see www.ucl.ac.uk/gatsby/study-and-work/gcnu-swc-joint-phd-programme. -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL

Sept. 26, 2024

Leveraging Simulation Neuroscience using Blue Brain's Open Platform at SFN

by Lida Kanari

Dear colleagues,We are thrilled to announce that Blue Brain will be featured at the upcoming SfN 2024 meeting in Chicago. For the first time, we will be offering access to the Blue Brain Open Platform - a comprehensive suite of simulation neuroscience tools designed to enhance your research.As the Blue Brain Project concludes at the end of this year - marking nearly two decades of pioneering work to establish simulation neuroscience as a vital complement to experimental and theoretical approaches - we are proud to release the entire collection of tools, data, and algorithms developed throughout the project.Compiled across nearly 300 publications and 1 petabyte of data, these resources include 260+ public repositories, over 5,000 reconstructed morphologies, more than 100k electrophysiological recordings and 500 e-model, as well as more than 5 detailed models of brain regions, with hundreds of in-vitro simulation experiments - integrated into a single, user-friendly platform for the neuroscience community.We invite you to join our 1-hour workshops at SfN to explore the capabilities of the Blue Brain Open Platform: * Delve into detailed mouse brain data, including experimental and model datasets * Leverage existing models or create custom ones tailored to your research * Design and execute simulation experiments in your own Virtual Lab Sign up for the workshop here: https://forms.gle/jKCAxPzbkCP3P7MT6Our team will also be present at the Blue Brain Project Booth #1852, where we will showcase our range of tools and share our latest findings through over a dozen posters.Please feel free to share this invitation with colleagues or anyone interested in exploring the Blue Brain Open Platform as a new tool for simulation neuroscience.We look forward to collaborating with you on the platform! Best regards, Lida Kanari, PhD Group Leader Neuromathematics Blue Brain Project / EPFL Campus Biotech Chemin des Mines 9, CH-1202 Geneva +41 21 693 9656

Sept. 26, 2024