Technical University of Munich
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4 months ago
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Fully Funded PhD in Explainable Multimodal AI for Medical Informatics and Precision Oncology at Technical University of Munich Technical University of Munich in Germany
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded doctoral position; remuneration according to TV-L EG 13 / E13 subject to personal and collective bargaining requirements, with occupational pension scheme via VBL. Additional employer benefits include EGYM Wellpass, Corporate Benefits, and library access; open-access publication and conference attendance support are mentioned.
Deadline
Expired
Country
Germany
University
Technical University of Munich
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About this position
PhD position in Computer Science at the Institute for AI and Informatics in Medicine (AIIM), Technical University of Munich, in Munich, Germany.
The project is part of the xMDT-HPB initiative and focuses on explainable, multimodal AI for personalized prognosis and treatment decisions in hepato-pancreato-biliary cancers. The work combines clinical text, multimodal imaging, and laboratory trajectories, with an emphasis on reproducible research, benchmarking, and open-source artifacts.
This is a fully funded doctoral position with remuneration according to TV-L E13. The role is on-site in central Munich (Max-Weber-Platz) and includes structured supervision, interdisciplinary collaboration, mentoring, publication support, and conference attendance support.
Eligibility highlights include a completed or nearly completed master’s degree in Computer Science, Medical Informatics, Data Science, Bioinformatics, Computational Science, or a related field; strong Python skills; initial experience with PyTorch or TensorFlow; practical experience in machine learning, NLP/LLM, data analysis, software development, or medical data processing; good English; and German at C1 level.
Applications are reviewed on a rolling basis until the position is filled. Apply by sending a single PDF to Dr. Felix Busch including a motivation letter, CV, transcripts/certificates, project overview, optional GitHub/GitLab links, optional publications/posters/thesis abstracts, and two academic references.
Funding details
Fully funded doctoral position; remuneration according to TV-L EG 13 / E13 subject to personal and collective bargaining requirements, with occupational pension scheme via VBL. Additional employer benefits include EGYM Wellpass, Corporate Benefits, and library access; open-access publication and conference attendance support are mentioned.
What's required
Completed or nearly completed master’s degree in computer science, medical informatics, data science, bioinformatics, computational science, or a related field; commitment to pursuing a doctorate; solid Python programming skills; initial experience with machine learning frameworks such as PyTorch or TensorFlow; practical experience from a master’s thesis, study projects, internships, or open-source projects in machine learning, NLP/LLM, data analysis, software development, or medical data processing; willingness to learn medical standards, data protection, reproducibility, and good scientific practice; careful, structured, learning-oriented, and team-oriented working style; good written and spoken English; German at C1 level; GitHub/GitLab links and evidence such as publications, posters, or thesis abstracts are welcome.
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