Postdoctoral Fellow in Riemannian Optimization

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

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: [e-mail]

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