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Predoctoral Researcher Position in Machine Learning and Physics at Princeton

Find out about an exciting predoctoral researcher position at Princeton, combining machine learning and physics. Paid, in-person position with US work authorization requirement. Apply now.
We are seeking a predoctoral/postbaccalaureate researcher to work on a project that combines self-supervised machine learning and statistical physics. The successful candidate will help run computational experiments to see how well our models compute physical quantities from data. This is a paid, in-person position with a start date as soon as possible and an end date of January 15, 2025. Applicants must have US work authorization and a Bachelor’s degree in CS, physics, or a related field. To apply, email eysenbach@princeton.edu with your resume, transcript (unofficial is fine), and confirmation of US work authorization.

Tags: Princeton, Predoctoral Researcher, Machine Learning, Physics, Self-supervised Learning, Statistical Physics

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