Better together. For life.

At the University Medical Center Hamburg-Eppendorf (UKE), we are committed to excellence in research, education, and comprehensive healthcare across our clinics. Every day, our team of approximately 16,100 dedicated employees works to make the world a healthier place. Our goal is to be one of the leading university hospitals while also being the best employer in our industry.

At UKE, we believe that meaningful and successful work should align with our employees' personal needs and individual lifestyles. Just as diverse as these needs are, so too is the variety of personalized solutions we offer.

Welcome to the UKE.

PhD position / Postdoc position (all genders) in AI for biomedical data analysis
Part time | Temporary | Hamburg Eppendorf
UKE_Zentrum für Molekulare Neurobiologie (ZMNH)

Main tasks

You will join the Institute of Medical Systems Biology and the bAIome Center for Biomedical AI (baiome.org) to complement our lively and enthusiastic team of machine learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer architectures, or diffusion models. In close collaboration with clinical partners, you will translate your research into practical, translationally relevant applications, contributing to advances in personalized medicine.

This position is for a limited period of three years as part of a third-party funded project and to be filled with 65 % of the regular weekly working hours.

Your Profile

• Master’s degree in computer science, bioinformatics or related fields
• Solid understanding of machine and deep learning and relevant frameworks (e.g. Pytorch or Tensorflow, Keras, scikit-learn, OpenCV)
• Proficiency in Python, Linux and HPC environments
• Good communication skills to interact with collaborators ranging from machine learning researchers to pathologists or medical students
• Knowledge of biology and medicine is a plus
• Highly motivated with an interest to work in an interdisciplinary team spanning machine learning, bioinformatics, and medicine
• Strong English language skills to communicate and collaborate in our diverse work environment

Our Offer

• Attractive compensation according to TVöD/VKA
• Secure employment with meaningful work and respectful collaboration
• Comprehensive onboarding and open knowledge exchange within the team
• Extensive training and further education programs at our UKE Academy for Education and Careers
• Opportunities to contribute to our "UKE INside” personnel policy through cross-professional and cross-hierarchical projects
• Sustainable travel: subsidies for the Deutschlandticket as a job ticket, and Dr. Bike bicycle service
• Family-friendly working environment: cooperation on childcare, free vacation childcare, advice for employees with relatives in need of care
• Excellent health, wellness, and sports programs
• A wide range of dining options in our staff restaurant, with additional choices available at the "Health Kitchen” cafés, bistros, and an on-site supermarket

Contact

We look forward to receiving your complete application by 28 ^th July 2025.

Contact to the department
Prof. Dr. Stefan Bonn
s.bonn@uke.de

+49 (0) 40 7410-52599

Please note that employment is contingent upon proof of immunization or immunity against the measles virus, in accordance with applicable legal and medical requirements. Documentation (e.g., vaccination certificate) must be provided before employment begins.

We live diversity and value variety
We offer a work environment that provides equal opportunities regardless of age, gender, sexual identity, disability, ethnic and social origin, or religion. This is confirmed by our accession to the Charter of Diversity. We explicitly aim to increase the proportion of women in management positions, especially among scientific personnel in research and teaching. Women with equal qualifications will be given priority. The same applies in the case of under-representation of one gender in the advertised area. Persons with severe disabilities with equal aptitude, competence, and professional performance will be given priority.