PhD Student Position in Optimal Transport and Machine Learning

vor 22 Stunden

Berlin, Berlin, Deutschland Weierstraß-Institut für Angewandte Analysis und Stochastik Vollzeit
PhD Student Position in Optimal Transport and Machine Learning

We are seeking a highly motivated PhD student to join our research group in Optimal Transport and Machine Learning at the Weierstraß-Institut für Angewandte Analysis und Stochastik. The successful candidate will work on developing principled optimal transport theory, optimization, and machine learning methods for real-world applications.

The PhD student will be part of a dynamic research team and will have the opportunity to collaborate with leading experts in the field. The project is funded by the German Research Foundation (DFG) and offers a unique chance to contribute to cutting-edge research in machine learning and optimization.

The ideal candidate will have a strong background in computer science, statistics, or applied mathematics, with a focus on machine learning or optimization. A master's degree in a relevant field is required, and a strong research statement is expected.

We offer a competitive salary, a reduced work schedule of 29.25 hours per week, and a comprehensive benefits package. The position is limited to 3 years, and the start date is flexible.

We are an equal opportunities employer and welcome applications from candidates with diverse backgrounds. The Institute aims to increase the proportion of women in this field, so applications from women are particularly welcome. Among equally qualified applicants, disabled candidates will be given preference.

Please submit your application documents, including a cover letter, CV, master's thesis, and transcripts, via our applicant portal. We look forward to receiving your application.

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