Postdoctoral Fellow in Riemannian Optimization
Listed on 2026-06-09
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Research/Development
Postdoctoral Research Fellow, Research Scientist
Postdoctoral Fellow in Riemannian Optimization
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 and a genuine interest in continuing such work.
This is a one-year position with the possibility of extension. The start date is flexible. Applications will be reviewed on a rolling basis. The position remains open until filled.
Basic Qualifications:
- A Ph.D. in Mathematics, Applied Mathematics, Computer Science, or a related field, by the start of the appointment.
Application Materials
Required:
- CV
- Two-page Research Statement outlining your current and future research interests
- Three Reference Letters
- Copies of two publications representative of your work and research interests, ideally related to Riemannian Optimization.
Salary Range: $67,600 – $91,826. Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training or qualification, field of scholarship, and accomplishments in the field.
Contact Email: mwebervard.edu
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