The Section for Clinical Research IT (SKFIT) at the University Hospital Schleswig-Holstein (UKSH), Campus Lübeck, is offering a PhD position for a (Medical) Computer Scientist to develop an in-house platform for Machine Learning (ML)-driven clinical decision support. This role bridges the gap between high-level research and direct clinical application, utilizing patient data to improve healthcare delivery.
Scholarship Summary
| Institution | University Hospital Schleswig-Holstein (UKSH) |
| Designation | (Medical) Computer Scientist / PhD Candidate (m/f/d) |
| Research Area | Machine Learning, AI-driven Data Analysis, CDSS |
| Location | Lübeck, Schleswig-Holstein, Germany |
| Salary Level | E13 TV-L (Full-time, 38.5 hours/week) |
| Duration | Initial 3-year contract |
| Last Date to Apply | October 31, 2026 |
Research Area
The successful candidate will focus on Machine Learning and AI-driven data analysis for Clinical Decision Support Systems (CDSS). This includes research into Large Language Models (LLMs), integration of patient data from Hospital Information Systems (HIS/MeDIC), and the development of professional platforms in cooperation with national partners like the AMPEL platform.
Eligibility / Qualification
- Education: A Master’s degree in Medical Informatics, Computer Science, or a related field of study.
- Technical Skills: Practical experience in development and data analysis using Machine Learning frameworks (e.g., Python, PyTorch, scikit-learn) and LLMs.
- Language: Very good proficiency in both German and English.
- Soft Skills: High level of initiative, commitment, and a structured way of working.
- Preferred: Experience with EHR or time-series data, MLOps, containerization (Docker/Kubernetes), and health IT standards such as HL7 FHIR or OMOP CDM.
Scholarship Description & Benefits
This position is specifically designed as a PhD opportunity. Supervision is provided directly in-house by Prof. Dr. Fudickar, who holds doctoral rights through the MINT section of the University of Lübeck and is associated with the Institute for Medical Informatics and Fraunhofer IMTE.
Key benefits include:
- Access to extensive health data and infrastructure at one of Germany’s largest university hospitals.
- Remuneration according to the TV-L E13 collective agreement.
- Flexible working hours and options for partial mobile work.
- A fast-track environment where innovative solutions can be moved from idea to clinical application under simplified regulatory frameworks (GDNG/MDR).
- Support for scientific publications and attendance at national and international conferences.
How to Apply
Interested candidates should submit their application through the UKSH career portal. Please ensure you quote the advertisement number 29432 in your application.
For specific inquiries regarding the position, you may contact:
- Prof. Dr. Fudickar: +49 0451 500 52701
- Recruiter (Sina Utes): +49 0451 500 11190
Last Date for Apply
The deadline for applications is October 31, 2026.
