Postdoc position in Scientific ML at Emory University

The Department of Mathematics at Emory University invites applications for a postdoctoral position in scientific machine learning and optimization, beginning August 1, 2026.

The successful candidate will conduct research on efficient and scalable training algorithms for neural networks, with a particular emphasis on preconditioning methods for stochastic gradient descent. Applicants must have a Ph.D. in mathematics, applied mathematics, computer science, statistics, or a closely related field by the start date. A strong background in optimization and machine learning is required. Experience with PyTorch or JAX is preferred.

The initial appointment is for two years, with the possibility of a third year, subject to satisfactory performance and funding availability.

Applications should be submitted by email to yuanzhe.xi@emory.edu and should include:

• Curriculum vitae
• Research statement
• Names of two references

Review of applications will begin immediately and will continue until the position is filled.

Emory University is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristics protected by state or federal law.