Technical University of Munich
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1 month ago
Research Associate / Doctoral Candidate in AI-based Surgical Understanding Technical University of Munich in Germany
Degree Level
PhD
Field of study
Computer Science
Funding
Employment and remuneration according to TV-L, based on applicable requirements and qualifications. The role supports pursuing a doctoral degree at TUM.
Country
Germany
University
Technical University of Munich
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About this position
Technical University of Munich (TUM) / TUM University Hospital is recruiting a Research Associate / Doctoral Candidate for research on AI-based surgical understanding.
The Research Group MITI is building a multimodal operating room data infrastructure and developing machine learning methods for structured, real-time understanding of surgical procedures. The project focuses on computer vision, machine learning, deep learning, multimodal learning, graph neural networks, and geometric representations such as scene graphs to capture entities, actions, spatial relations, and temporal developments in the operating room.
Research activities include integrating 2D/3D vision, language, audio, and sensor data; developing prototypes for surgical AI applications; and contributing to an interdisciplinary clinical research environment with doctors, engineers, and scientists. The position is explicitly linked to pursuing a doctoral degree at TUM.
Eligibility highlights: a completed Master's degree or equivalent in Computer Science, Mathematics, Robotics, Electrical Engineering, or another relevant technical discipline; strong Python skills; experience with PyTorch, PyTorch Geometric, and OpenCV; and good English plus German skills for the clinical setting.
Funding/employment: remuneration according to TV-L, based on qualifications and requirements. No separate scholarship is mentioned.
How to apply: email your CV, academic transcript of records, and motivation letter to [email protected].
Funding details
Employment and remuneration according to TV-L, based on applicable requirements and qualifications. The role supports pursuing a doctoral degree at TUM.
What's required
Applicants must have a completed Master's degree or equivalent in Computer Science, Mathematics, Robotics, Electrical Engineering, or another relevant technical discipline. Strong background in computer vision, machine learning, and deep learning is required; experience with geometric deep learning or graph neural networks is highly desirable. Strong Python programming skills and experience with PyTorch, PyTorch Geometric, and OpenCV are expected. Practical experience with machine learning, computer vision, robotics, or related projects is preferred, especially with time-series, unstructured, graph-structured, 2D image/video, or 3D data. Candidates must be willing to work in an interdisciplinary clinical research environment and regularly in the operating room. Fluent written and spoken English is required, and good German skills are required for the clinical environment.
How to apply
Send your application by email to [email protected]. Include your CV, academic transcript of records, and motivation letter.
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