Scientific Employee/PhD Student (f/m/d)

GIZ-Nord; Göttingen; Vor Ort; EUR 32.000 - 42.000; Teilzeit

Zusammenfassung

The University Medical Center Göttingen is seeking a part-time researcher to work on the Center for Digital Surgery. The role involves developing AI-driven surgical systems, data fusion of multimodal clinical data, and close collaboration with clinical experts in the intensive care unit.

You will contribute to imaging, biosignals and EHR data analysis, present results, and participate in teaching activities within an interdisciplinary team.

Qualifikationen

• Master’s degree in biomedical engineering, data science, computer science or similar field.
• Strong programming skills in Python.
• Experience with ML/DL and clinical data (EHR/time series) is a plus.

Aufgaben

• Develop research in closed-loop medication systems for automated dose control.
• Design, implement and validate ML approaches on multimodal clinical data.
• Collaborate with clinicians for data collection and testing in real wards.
• Present and publish research at national and international level.

Kenntnisse

Python programming

Machine learning / deep learning

Team collaboration

Organizational skills

Ausbildung

Master’s degree in biomedical engineering, data science, computer science or similar field

Tools

Python

MATLAB

Jobbeschreibung

The Klinik für Allgemein-, Viszeral- und Kinderchirurgie of the University Medical Center Göttingen is looking for a new position for the earliest start date

part time , 19,25 hours per week, initially limited 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, 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.

• 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, implement, test and validate machine learning approaches to analyze data from novel sensors and fuse it with multimodal clinical data
• Collaborate closely 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
• Participate in teaching activities
• Master’s 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:

• Master’s 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:

Analysis of clinical time series and electronic health records (EHR)

Biomedical sensing and biosignal analysis

Closed-Loop-Systems and control, preferably in medical applications

We offer

• 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
• 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

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 stand 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.

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 safeguard your interests.