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Technical University of Munich

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Research Associate / Doctoral Candidate in AI-based Surgical Understanding Technical University of Munich in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Germany

University

Technical University of Munich

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Keywords

Computer Science
Biomedical Engineering
Electrical Engineering
Deep Learning
Mathematics
Artificial Intelligence
Medical Technology
Computer Vision
Medical Science
Robotics
ML

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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

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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