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Cornell University

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Postdoctoral Associate in Mathematics and Auto-Formalization at Cornell University Cornell University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

Cornell University

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Keywords

Computer Science
Mathematics
Artificial Intelligence

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About this position

Cornell University’s Department of Mathematics is inviting applications for a Postdoctoral Associate focused on mathematics, auto-formalization, and proof assistants such as Lean.

The position centers on developing and administering a benchmark for auto-formalization of mathematics, contributing to a benchmarking dataset, organizing and quality-checking contributed data, building tools to support data creation, and supporting the Math+AI laboratory. This is a research-oriented postdoctoral role with strong overlap between mathematics and computational methods.

The appointment is initially for 1 year, with the possibility of renewal through March 2029. The target start date is October 1, 2026, and applications are reviewed immediately until the position is filled.

Eligibility highlights: a Ph.D. in mathematics or a related field is required. Candidates with experience in Lean or other proof assistant languages are especially encouraged to apply.

Funding: the role is supported by a research project funded by the Defense Advanced Research Projects Agency (DARPA) of the U.S. Department of Defense through the expMath program. The advertised salary range is $70,000–$80,000.

How to apply: submit materials online via mathjobs.org, including a cover letter, CV, research statement, publication list, optional additional materials, and two reference letters (at least one addressing research experience).

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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