Atom Grants
Discover
  • Dashboard
  • Search
  • Deep Research
  • Favorites
  • Projects

    Von Neumann Fellowships

    Von Neumann Fellowships support mid-career mathematicians and theoretical computer scientists in full-time, independent research within the Institute for Advanced Study’s School of Mathematics.

    OverviewSimilar Grants
    OverviewSimilar Grants

    This grant was recently updated

    Applicants may now submit a research statement based only on already conducted research; the School recommends focusing on a few selected projects, usually up to three. The page also removed its “application is now open” notice and December 1 deadlines for applications and recommendation letters.

    Funder: Institute for Advanced Study

    Due Dates: December 1, 2026 (Applications and all supporting materials)

    Funding Amounts: Grant equivalent to a competitive salary; approximately eight fellowships annually

    Summary: Supports distinguished mid-career mathematicians and theoretical computer scientists in full-time research at the IAS School of Mathematics.

    Key Information: Applicants must be 5–15 years beyond their Ph.D.


    Description

    The Institute for Advanced Study (IAS) School of Mathematics offers Von Neumann Fellowships to distinguished mid-career mathematicians and theoretical computer scientists. The fellowships enable researchers to devote themselves full-time to their work and form part of the School’s broader membership program, which supports research across all mathematical subject areas.

    The program provides a setting for sustained, independent research rather than focusing on a single mathematical topic. Fellows join the School’s research community in Princeton, where on-campus housing and other resources are available through the membership program. The National Science Foundation supports four to six of the approximately eight fellowship positions offered annually.


    Atom

    See the full grant listing

    Sign in to view full eligibility details, sources, similar grants, and AI-powered analysis.