Research Engineer for AI-Software in Surgical Navigation Systems

The University Hospital Carl Gustav Carus and the Faculty of Medicine together form University Medicine Dresden. It is committed to excellence in high-performance medicine, medical research and teaching as well as healthcare services for patients in the entire region. Together for the cutting-edge medicine of tomorrow - become part of University Medicine Dresden. Research Engineer (f/m/d) in the field of Translational Surgical Oncology. The position is available from November 1st, 2026, on a full-time or part-time basis, and is initially limited to 24 months. Remuneration will be based on the applicable provisions of the institution's collective bargaining agreement and, subject to the candidate's personal qualifications, may be assigned to salary grade U13. The institute for Translational Surgical Oncology (TSO) at the NCT Dresden conducts research in the area of computer- and robot-assisted surgery. Our focus lies on surgical navigation, robotics, simulation and training. Our group develops AI systems that fuse live endoscopic video streams with preoperative 3D CT or MRI data and display the results in an augmented-reality fashion to the surgeons. The AI methods perform tasks such as segmentation, depth-estimation, feature tracking and registration in real-time. To control these systems, we are building semi-automatic methods with intuitive user-interfaces that are ready to be operated inside the OR. In this context, the current role would aid with the translation of AI-systems into the operating room. This requires active research topics such as endoscopic video processing, camera calibration, real-time computing and phantom validation in our experimental operating room. The candidate would help in the translation of current research topics into clean, high-quality medical applications, which includes the documentation according to requirements by regulatory authorities (no prior knowledge required) and they would help PhD students integrate new AI solutions into the pipeline. Depending on the candidate's preferences, further topics can include rendering, augmented reality and registration, as well as student supervision.

• Aid with the translation of AI-systems into the operating room
• Active research on endoscopic video processing, camera calibration, real-time computing and phantom validation
• Translation of current research topics into clean, high-quality medical applications including documentation for regulatory authorities
• Help PhD students integrate new AI solutions into the pipeline
• Depending on preferences: rendering, augmented reality, registration, and student supervision

• Bachelor of Science or equivalent (in computer science or a related field)
• Solid programming experience with C++ and/or Python in a team (student positions also count)
• Eagerness to work in a small development team
• Working languages: English or German
• Optional: Experience with Linux, ROS, Git, CI helps but is not required