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

Main tasks

You will join the Institute of Medical Systems Bioinformatics ( www.ims.bio ) and the bAIome Center for Biomedical AI ( www.baiome.org ) as part of a dynamic, international, and interdisciplinary team working at the forefront of AI-driven biomedical research. Your work will contribute directly to improving our understanding, prediction, and treatment of disease.

Your main tasks include the analysis of complex biomedical data using state-of-the-art AI and agentic system approaches, as well as the development of novel machine learning and deep learning algorithms. Your work will range from methodological innovation to real-world clinical application. You will work with multimodal biomedical datasets (omics, imaging, spatial data, and patient data) and apply cutting-edge AI technologies such as graph neural networks, transformer architectures, diffusion models, foundation models for biology and medicine, and agentic AI workflows such as autonomous analysis agents. In close collaboration with clinical partners, you will translate your research into practical and clinically relevant applications, contributing to advances in precision and personalized medicine.

The position is initially limited to three years as part of a third-party funded project and to be filled with 80-100 % of the regular weekly working hours.

Your Profile

• Master’s degree in Computer Science, Bioinformatics, Data Science, or a related field
• Solid understanding of modern machine learning and deep learning methods, including experience with frameworks such as PyTorch or TensorFlow/Keras and scikit-learn
• Experience with agentic AI systems, automated workflows, or LLM-based development environments (e.g., OpenAI Codex, Claude Code, or similar) is a plus
• Proficiency in Python, Linux, and HPC environments
• Experience working with multimodal biomedical datasets (omics, imaging, clinical data) is advantageous
• Strong communication skills and ability to collaborate with machine learning researchers, biologists, clinicians, and domain experts
• Knowledge of biology and medicine is a plus
• Proven ability for independent and creative research (e.g., through projects, publications, or open-source contributions)
• Highly motivated, team-oriented, and enthusiastic about interdisciplinary research bridging AI, biology, and medicine
• Strong English skills in an international and diverse work environment

Oure Offer

• Work on cutting-edge AI methods with direct clinical relevance
• Access to large-scale multimodal biomedical datasets and modern GPU infrastructure
• Close collaboration with clinicians, biologists, and AI researchers in a highly interdisciplinary environment
• Opportunity to publish in leading international scientific journals and conferences
• 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