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PhD Researcher Position in Optimal Transport and Machine Learning

vor 2 Monaten


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

We are seeking a highly motivated PhD researcher to join our 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 closely work with Dr. Jia-Jie Zhu, a renowned expert in the field. The project is funded by the DFG, and the PhD student will have the opportunity to work on cutting-edge research topics, including robustness in machine learning, causal inference, and optimal transport.

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 we aim to increase the proportion of women in this field, so applications from women are particularly welcome.

To be considered, applicants should have a master's degree in computer science, statistics, or applied mathematics, with a strong background in machine learning and optimization. A research statement and a CV with links to existing projects and works are required. Please upload your application documents via our applicant portal.

  • Key Responsibilities:
  • Conduct research in optimal transport and machine learning
  • Work closely with Dr. Jia-Jie Zhu
  • Contribute to the development of new machine learning algorithms

Requirements:

  • Master's degree in computer science, statistics, or applied mathematics
  • Strong background in machine learning and optimization
  • Research statement and CV with links to existing projects and works