Postdoctoral Fellow in Riemannian Optimization

Position Description:

A postdoctoral position is available in the Geometric Machine Learning Group at Harvard University, led by Prof. Melanie Weber. This role offers an opportunity to perform research on Riemannian Optimization. The ideal candidate has a strong background in this area, as well as a genuine interest in continuing such work.

This is a one-year position with the possibility of extension. The start date is flexible.

For more details on our research and recent publications, see the Geometric Machine Learning Group's website: https://weber.seas.harvard.edu/. For questions, please email mweber@seas.harvard.edu

Applications will be reviewed on a rolling basis. The position will remain open until filled.

Basic Qualifications:

A Ph.D. in Mathematics, Applied Mathematics, Computer Science, or a related field, by the start of the appointment.