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Munich Center for Machine Learning: PhD positions

© MCML

The Munich Center for Machine Learning (MCML) offers several fully funded PhD positions in any field of research within the domains of machine learning!

The Munich Center for Machine Learning (MCML) offers several PhD positions in any field of research within the domains of machine learning. The MCML is a joint research initiative of Ludwig-Maximilians-Universität München (LMU) and Technische Universität München (TUM). Our vision is to strengthen regional, national, and international competence in AI and to make the corresponding potential accessible to users from science and industry. The positions are for a duration period of 3 years, starting on 1 July 2025.

Your tasks and responsibilities

You will develop a PhD research project in a field related to one of the three research areas of MCML: A) Foundations of Machine Learning, B) Perception, Vision, and NLP, C) Domain-Specific Machine Learning

Your qualifications

  • Master’s degree or equivalent in one of the following fields: informatics, artificial intelligence, machine learning, mathematics, statistics, data science, or physics
  • Excellent grades
  • A very good command of the English language
  • Strong scientific motivation
  • Interest in interdisciplinary research

You will join one of the top AI research centers in Germany and in Europe with access to an excellent network of scholars and scientists. LMU and TUM offer high-caliber research facilities with extensive support for developing innovative and cutting-edge research projects.

LMU Munich and TUM provide diverse benefits for their employees, including support for scientists from overseas. LMU Munich and TUM are interested in increasing the number of female faculty members and encourages women to apply. People with disabilities who are equally as qualified as other applicants will receive preferential treatment.

For more information, see: MCML – Call for fully funded PhD Positions 2025

 

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Munich Center for Machine Learning: PhD positions

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