Data Scientist (f/m/d)

... sorgen für Gesundheit und Lebensqualität!

Robert-Koch-Straße 40

37075 Göttingen

The Center for Digital Surgery is a research hub on Surgical AI and Robotics, with a strong focus on bridging the gap between methodical research and its clinical application.

The research group of Prof. Dr. Hagenah aims at „making surgery intelligent“ by leveraging multimodal data, e.g. intra-operative as well as pre-operative images, biosignals and electronic health records, to build AI-driven and robotic surgical assistance systems. Since the Center for Digital Surgery is part of the Department for General, Visceral and Pediatric Surgery and closely related to the Göttingen School of Surgery, we are working on closing the loop from clinical data collection over methodological research and proof-of-concept-studies in lab setups to the application of clinical demonstrators in the operating room.

Ihre Aufgaben

Perform applied research in the field of intra-operative assistance systems utilizing laparoscopic video streams

Design, implement and test image analysis pipelines for anatomical landmark recognition

Perform research on efficient and effective deep learning architectures for object detection or segmentation in surgical videos

Develop and validate concepts for an assistance system with real clinical value in close collaboration with clinical experts

Collaborate closely with industrial partners to translate your findings towards a product

Co-supervise student researchers

Ihre Qualifikationen

Masters degree in biomedical engineering, data science, computer science or similar field of study

High intrinsic motivation with a passion for research and innovation

Ability to continuously learn and grow within an interdisciplinary team

Organizational and team skills, flexibility, open-mindedness and communication skills

Very good programming skills, preferably experience with machine learning/deep learning using Python

Experience in one or more of the following fields is a plus:

Medical Image Analysis Deep Learning, with special emphasis on video analysis R&D in industry

Wir bieten

A challenging workplace full of opportunities in a multi-disciplinary, cooperative team

The unique opportunity to translate your technical research to the clinical application with minimal obstacles

A lot of room for creative freedom and shaping your optimal work environment together

State-of-the-art equipment

Support of personal advancement via intensive mentoring, promotion of networking, and mental as well as practical support in research activities through a team-oriented mindset

Wir freuen uns auf Ihre Bewerbung!

Bitte im Betreff der Bewerbung folgende Referenznummer angeben: 3132

Ansprechperson:

Mister Professor Doctor Jannis Hagenah

Fragen vorab?