Postdoc in Riemannian Optimization & Geometric ML

Harvard University; Cambridge (MA); On-site; USD 67,600 - 91,826; Full time

Job summary

Harvard University seeks a Postdoctoral Fellow in Riemannian Optimization to join the Geometric Machine Learning Group led by Prof. Melanie Weber. This one-year position offers a chance to engage in groundbreaking research in Riemannian Optimization, with the possibility of extension.

The ideal candidate will have a Ph.D. in a related field and a strong enthusiasm for research. The salary range is $67,600 to $91,826, depending on qualifications. Applications will be reviewed on a rolling basis.

Qualifications

• Strong background in Riemannian Optimization.
• Genuine interest in research.

Responsibilities

• Perform research on Riemannian Optimization.

Education

Ph.D. in Mathematics, Applied Mathematics, Computer Science, or a related field

Job description

Harvard University seeks a Postdoctoral Fellow in Riemannian Optimization to join the Geometric Machine Learning Group led by Prof. Melanie Weber. This one-year position offers a chance to engage in groundbreaking research in Riemannian Optimization, with the possibility of extension.

The ideal candidate will have a Ph.D. in a related field and a strong enthusiasm for research. The salary range is $67,600 to $91,826, depending on qualifications. Applications will be reviewed on a rolling basis.