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Ludwig-Maximilians-Universität München
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PhD Candidate in Artificial Intelligence in Medicine and Machine Learning for Clinical Decision-Making Ludwig-Maximilians-Universität München in Germany
Degree Level
PhD
Field of study
Computer Science
Funding
The position is grant-funded and full-time (100%) under remuneration group TV-L E13. It is initially limited to two years, with an option to extend until the end of the PhD. Part-time work is also possible. Participation in conferences, summer schools, voluntary exchange programmes, and international research stays is supported.
Deadline
Jan 4, 2027
Country
Germany
University
Ludwig-Maximilians-Universität München
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About this position
Ludwig-Maximilians-Universität München is seeking a Research Assistant (PhD Candidate) in Artificial Intelligence in Medicine to join the Institute of Artificial Intelligence in Management within the Munich School of Management.
The research focuses on advancing medical decision-making through new artificial intelligence and machine-learning methods. Potential directions include causal machine learning for treatment recommendation, predictive biomarker discovery, patient trajectory modelling, synthetic data generation, and AI agents that support medical reasoning. The work is designed to demonstrate the value of AI and machine-learning tools in medical practice and involves engagement with clinical stakeholders to create real-world impact.
The successful candidate will join an international, interdisciplinary team led by Prof. Stefan Feuerriegel. The group includes researchers with backgrounds in machine learning, statistics, economics, and engineering, and publishes in leading AI and machine-learning venues as well as prominent medical and digital-health journals. The institute’s double affiliation with the Faculty of Mathematics, Informatics, and Statistics supports broad collaboration across teaching and research.
Based in central Munich, the research environment offers opportunities to collaborate with university hospitals and international partners, including Harvard Medical School and the Cambridge Centre for AI in Medicine. Researchers may also participate in conferences, summer schools, exchange programmes, and research visits within the group’s international network.
Funding details
The position is grant-funded and full-time (100%) under remuneration group TV-L E13. It is initially limited to two years, with an option to extend until the end of the PhD. Part-time work is also possible. Participation in conferences, summer schools, voluntary exchange programmes, and international research stays is supported.
What's required
Applicants must hold a Master’s degree in Mathematics, Statistics, Computer Science, Data Science, Machine Learning, or Bioinformatics. A strong passion for research, motivation to make contributions in AI in medicine, and fluency in English are required. The role involves research and limited undergraduate or graduate teaching, with possible supervision of student theses. Applications require only a CV and transcript; cover letters, internship reports, and certificates are not required.
How to apply
Submit a CV and transcript by email to [email protected], using “AIMedicine” as the subject line. Applications must be received by 4 January 2027.
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Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.