2025 Fellowship In Riemannian Optimization At Harvard University [Study In USA]

The Harvard John A. Paulson School of Engineering and Applied Sciences is seeking a skilled postdoctoral fellow to work within the Geometric Machine Learning Group led by Prof. Melanie Weber.

The Harvard John A. Paulson School of Engineering and Applied Sciences is seeking a skilled postdoctoral fellow to work within the Geometric Machine Learning Group led by Prof. Melanie Weber. This position focuses on researching Riemannian Optimization, ideal for candidates with a strong academic background and a keen interest in this specialized field.

OPPORTUNITY AT A GLANCE:

Facts About the 2025 Fellowship

1. The fellowship is offered by the Harvard John A. Paulson School of Engineering and Applied Sciences.
2. The position is within the Geometric Machine Learning Group led by Prof. Melanie Weber.
3. The fellowship focuses on researching Riemannian Optimization, ideal for candidates with a strong academic background.
4. A Ph.D. in Mathematics, Applied Mathematics, Computer Science, or a related field is required by the start of the appointment.
5. The successful candidate will contribute to the group’s projects, leveraging their expertise in Riemannian Optimization.
6. The start date for this position is flexible, and there is a possibility for an extension based on performance and available funding.
7. The application materials include a Curriculum Vitae (CV), a two-page Research Statement, three Reference Letters, and copies of two publications.
8. Applications can be submitted through the provided Harvard job application portal.
9. Applications will be reviewed on a rolling basis, and the position will remain open until filled.
10. The fellowship offers the opportunity to engage in cutting-edge research and work with a leading expert in the field.

Eligibility For 2025 Fellowship In Riemannian Optimization At Harvard University 

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

Description For 2025 Fellowship In Riemannian Optimization At Harvard University 

This one-year postdoctoral position offers the opportunity to engage in cutting-edge research on Riemannian Optimization. The successful candidate will contribute to the Geometric Machine Learning Group’s projects, leveraging their expertise in the field. The start date for this position is flexible, and there is a possibility for an extension based on performance and available funding.

How To Apply For 2025 Fellowship In Riemannian Optimization At Harvard University 

Interested candidates should submit the following application materials:

1. Curriculum Vitae (CV)
2. Two-page Research Statement outlining current and future research interests
3. Three Reference Letters
4. Copies of two publications representative of their work and research interests, ideally related to Riemannian Optimization.

Applications can be submitted through the provided Harvard job application portal. Applications will be reviewed on a rolling basis, and the position will remain open until filled.

Source: https://academicpositions.harvard.edu/