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- Postdoctoral Fellow in Riemannian Optimization
Description
Harvard UniversityPosition Details TitlePostdoctoral Fellow in Riemannian OptimizationSchoolHarvard John A. Paulson School of Engineering and Applied SciencesDepartment/AreaPosition DescriptionA 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.eduApplications will be reviewed on a rolling basis. The position will remain open until filled.Basic QualificationsA Ph.D. in Mathematics, Applied Mathematics, Computer Science, or a related field, by the start of the appointment.Additional QualificationsSpecial Instructions To apply, please submit the following materials:
- CV;
- Two-page Research Statement outlining your current and future research interests;
- Three Reference Letters;
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- Curriculum Vitae
- Cover Letter
- Statement of Research
- Publication
- Publication 2
- Publication 3
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