PhD Student Position in Optimal Transport and Machine Learning

vor 2 Wochen

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 team at the Weierstraß-Institut für Angewandte Analysis und Stochastik. The successful candidate will work on a project focused on optimal transport and machine learning, with a strong emphasis on rigorous training in machine learning and optimization.

The PhD student will be part of our Data-driven Optimization and Control group, led by Dr. Jia-Jie Zhu. The group's research focuses on developing novel methods for data-driven optimization and control, with applications in machine learning and optimal transport.

The PhD student will have the opportunity to work on a range of topics, including robustness in machine learning, causal inference, and probabilistic machine learning. The project is funded by the German Research Foundation (DFG).

We are looking for a candidate with a strong background in computer science, statistics, or applied mathematics, with a special focus on machine learning and optimization. The ideal candidate will have a master's degree and a strong research record, with a focus on optimal transport and machine learning.

The PhD student will receive close mentorship and support from our team, with opportunities for collaboration and knowledge sharing. We offer a competitive salary and benefits package, including a company pension plan and mobile working arrangements.

Our institute is committed to diversity and inclusion, and we welcome applications from candidates from underrepresented groups. We are an equal opportunities employer and are committed to creating a welcoming and inclusive environment for all employees.

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

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