Riemannian Optimization Postdoc — Geometric ML Research

An esteemed academic institution in Harvard is seeking a Postdoctoral Fellow to conduct research on Riemannian Optimization within the Geometric Machine Learning Group. The ideal candidate will hold a Ph.D. in Mathematics, Applied Mathematics, or Computer Science, demonstrating a strong background in Riemannian Optimization. The position offers a flexible start date and a salary range of $67,600 – $91,826, applying for teamwork in a research-driven environment. #J-18808-Ljbffr