Scientific Employee / PhD Student (f/m/d) Clinic for General, Visceral and Pediatric Surgery

The University Medical Center Göttingen (UMG) unites the Medical Faculty of the Georg-August University and the University Hospital in an integration model. With around 9,700 employees, the UMG and its subsidiaries are one of the largest employers in the region. Our clinics and institutes stood for high-quality patient care, excellent research, modern teaching and transfer of innovative technology.

Göttingen as a city of science is located in the center of Germany and the University Medical Center Göttingen is integrated into an attractive network of university and non-university scientific institutions. The Klinik für Allgemein-, Viszeral- und Kinderchirurgie of the University Medical Center Göttingen is looking for a new position for the start date Scientific Employee/PhD Student (f/m/d) part time, 19,25 hours per week, close to 31.05.2029 Remuneration according to TV-L

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, biosignal 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. Perform research in the field of closed-loop medication systems, aiming at point-of-care antibiotics level measurement from whole blood and utilizing this data for automated dose control Design, implementation, test and validate machine learning approaches to analyze data from novel sensors and fuse it with multimodal clinical data Collaborate close with clinical experts at the intensive care unit, including data collection and tests in the real ward Present and publish your research at national and international level Co-supervise student researchers Participate activities in teaching

Master-s degree in biomedical engineering, data science or similar field of study High intrinsic motivation with a passion for research and innovation Ability to learn and grow within an interdisciplinary team Organizational and team skills, flexibility, open-mindedness and communication skills Very good programming skills, preference experience with machine learning/deep learning using Python Experience in one or more of the following fields is a plus: Analysis of clinical time series and electronic health records (EHR) Biomedical sensing and biosignal analysis Closed-Loop-Systems and control, preferably in medical applications 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 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

Our goal as University Medical Center Göttingen is professional equality for all genders. We strive to equalize the gender ratio in areas where there is underrepresentation. The University Medical Center Göttingen is particularly committed to the professional participation of severely disabled people and therefore welcomes applications from severely disabled people. In the case of equal suitability, applications from severely disabled persons will be given preferential consideration in accordance with the relevant regulations. We kindly ask you to indicate a disability/equal status in your letter of application in order to obtain your interests. .