Job Opportunities

In this role, you will assist with implementing and evaluating baseline methods for building egocentric world models using available egocentric video datasets following our previous works. We are looking for student assistants to support this line of research flexibly for 10-20 hours per week. In addition, we are also interested in supporting students to explore novel ideas in embodied AI, reasoning, and open-ended learning. Feel free to reach out.

Teaser:
The Chair of AI-Assisted Therapy Decisions at LMU Munich, led by MCML PI Björn Eskofier, is looking for a PhD student for a three-year position starting as soon as possible. The position is part of the BMFTR-funded project AIM-ICU, which aims to develop a generalizable machine learning framework for ICU monitoring, covering data standardization, outcome prediction, and treatment insights for healthcare providers. Candidates should hold a Master’s degree in computer science, AI, or a related field, with a strong background in machine learning and deep learning and experience in Python and PyTorch. Applications should be sent as a single PDF to Emmanuelle Salin (emmanuelle.salin@med.uni-muenchen.de) by November 30, 2026.