Postdoc in Riemannian Optimization & Geometric ML
$67.6k - $91.83kHarvard University
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. #J-18808-Ljbffr Harvard University
Vacancy posted 5 days ago
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