Publisher
source

University of Minnesota

Postdoctoral Associate in Mathematical Foundations of Generative AI at the University of Minnesota University of Minnesota in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral position supported by the National Science Foundation and the University of Minnesota. Initial appointment is for two years with the possibility of renewal for a third year, subject to satisfactory performance and funding availability. Salary listed as $69,000 per hour in the post, with benefits including medical, dental, pharmacy, insurance, paid holidays, and time off.

Deadline

Dec 15, 2026

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Country

United States

University

University of Minnesota

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Keywords

Computer Science
Mathematics
Statistical Analysis
Artificial Intelligence
Numerical Analysis
Computational Science
Sampling Methods
Optimisation
Statistics
Flow Modeling

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About this position

Postdoctoral Associate in Mathematical Foundations of Generative AI at the University of Minnesota Twin Cities (School of Mathematics), located in Minneapolis, Minnesota, United States.

The position is with Dr. Yulong Lu and focuses on the mathematical and computational foundations of generative artificial intelligence, including the analysis of diffusion models, flow-based models, and applications to scientific computing and related scientific domains.

Applicants should have a Ph.D. in Mathematics, Statistics, or a closely related field by the start date. Strong preparation in stochastic analysis, numerical analysis, sampling methods, optimization, or scientific computing is especially encouraged, along with research experience in at least one class of modern generative models.

The appointment is initially for two years, with the possibility of a third year renewal depending on performance and funding. The role includes teaching two courses per year. Funding is supported by the National Science Foundation (NSF) and the University of Minnesota, and the post includes university benefits.

Applications are reviewed beginning December 15, 2026 and will continue until the position is filled. Apply through MathJobs with a cover letter, CV, research statement, and recommendation letters. Candidates may also contact Dr. Yulong Lu at [email protected] for questions about research fit.

Funding details

Postdoctoral position supported by the National Science Foundation and the University of Minnesota. Initial appointment is for two years with the possibility of renewal for a third year, subject to satisfactory performance and funding availability. Salary listed as $69,000 per hour in the post, with benefits including medical, dental, pharmacy, insurance, paid holidays, and time off.

What's required

Ph.D. in Mathematics, Statistics, or a closely related field by the start of the appointment. Strong background preferred in stochastic analysis, numerical analysis, sampling methods, optimization, scientific computing, or related areas, together with research experience in at least one class of modern generative models. Applicants should be prepared to teach two courses per year and pass a background check.

How to apply

Apply electronically through MathJobs and submit a cover letter, CV, research statement, and recommendation letters. Contact Dr. Yulong Lu by email with “Postdoc Position” in the subject line if you want to discuss fit. Reference writers should upload letters online through MathJobs.

More information can be found here

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