IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-53375-2.html
   My bibliography  Save this article

Trainees’ perspectives and recommendations for catalyzing the next generation of NeuroAI researchers

Author

Listed:
  • Andrea I. Luppi

    (University of Oxford
    McGill University
    UNIQUE Neuro-AI Center
    University of Cambridge)

  • Jascha Achterberg

    (University of Cambridge
    Intel Labs
    University of Oxford)

  • Samuel Schmidgall

    (Johns Hopkins University)

  • Isil Poyraz Bilgin

    (University of Montreal)

  • Peer Herholz

    (McGill University)

  • Maximilian Sprang

    (Johannes Gutenberg University Mainz
    German Research Center for Artificial Intelligence (DFKI))

  • Benjamin Fockter

    (Independent Researcher)

  • Andrew Siyoon Ham

    (Harvard University)

  • Sushrut Thorat

    (Osnabrück University)

  • Rojin Ziaei

    (University of Maryland College Park)

  • Filip Milisav

    (McGill University
    UNIQUE Neuro-AI Center)

  • Alexandra M. Proca

    (Imperial College London)

  • Hanna M. Tolle

    (Imperial College London)

  • Laura E. Suárez

    (McGill University
    UNIQUE Neuro-AI Center
    Innodem Neurosciences)

  • Paul Scotti

    (Princeton University)

  • Helena M. Gellersen

    (University of Cambridge
    German Center for Neurodegenerative Diseases
    University of Cambridge)

Abstract

At this critical juncture in the development of NeuroAI, we outline challenges and training needs of junior researchers working across AI and neuroscience. We also provide advice and resources to help trainees plan their NeuroAI careers.

Suggested Citation

  • Andrea I. Luppi & Jascha Achterberg & Samuel Schmidgall & Isil Poyraz Bilgin & Peer Herholz & Maximilian Sprang & Benjamin Fockter & Andrew Siyoon Ham & Sushrut Thorat & Rojin Ziaei & Filip Milisav & , 2024. "Trainees’ perspectives and recommendations for catalyzing the next generation of NeuroAI researchers," Nature Communications, Nature, vol. 15(1), pages 1-7, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-53375-2
    DOI: 10.1038/s41467-024-53375-2
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-53375-2
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-024-53375-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Maya Denton & Maura Borrego & David B Knight, 2022. "U.S. postdoctoral careers in life sciences, physical sciences and engineering: Government, industry, and academia," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-18, February.
    2. David B Searls, 2009. "Ten Simple Rules for Choosing between Industry and Academia," PLOS Computational Biology, Public Library of Science, vol. 5(6), pages 1-4, June.
    3. Cassandra L. Jacobs, 2024. "How to transition from academia to industry and back," Nature Human Behaviour, Nature, vol. 8(5), pages 807-809, May.
    4. Kuan-lin Huang, 2020. "Ten Simple Rules for landing on the right job after your PhD or postdoc," PLOS Computational Biology, Public Library of Science, vol. 16(4), pages 1-5, April.
    5. Shweta Ganapati & Tessy S Ritchie, 2021. "Professional development and career-preparedness experiences of STEM Ph.D. students: Gaps and avenues for improvement," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-25, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jitao David Zhang, 2021. "Ten simple rules for doing a postdoc in pharma," PLOS Computational Biology, Public Library of Science, vol. 17(6), pages 1-8, June.
    2. David B Searls, 2014. "A New Online Computational Biology Curriculum," PLOS Computational Biology, Public Library of Science, vol. 10(6), pages 1-3, June.
    3. Kuan-lin Huang, 2020. "Ten Simple Rules for landing on the right job after your PhD or postdoc," PLOS Computational Biology, Public Library of Science, vol. 16(4), pages 1-5, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-53375-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.