Doctoral Researchers: Up to 6 Fully Funded Positions in Data Science & Health

The Karlsruhe Institute of Technology is a top-ranked computer science university and Helmholtz research center. The German Cancer Research Center is the largest biomedical research institution in Germany with leading research in health data sciences. The Heidelberg University is the oldest university in Germany with a leading university clinic and excellent track record in scientific computing. These three top institutions joined to tackle this thrilling area by providing a unique doctoral program: Doctoral Researchers: Up to 6 Fully Funded Positions in Data Science & Health Reference number: 2025-0176 Heidelberg Full-time German Cancer Research Center, Karlsruhe Institute of Technology and University Heidelberg Apply if you can see the potential of techniques like deep learning in the health sector, and if you feel ready for shaping the future of our well-being. We offer projects in a collaborative research environment across discipline borders, focusing on topics in the following data science areas: Imaging & Diagnostics Surgery & Intervention 4.0 Models for Personalized Medicine Public Health We are looking for excellent graduates holding a master\’s degree, received by October 2025 at the latest, in computer science, mathematics, engineering, physics or related quantitative sciences (e.g. bioinformatics, medical informatics or robotics). To apply for a position please visit https://www.hidss4health.de/application/ to fill in the required HIDSS4Health-specific application documents which need to be uploaded with your application. This year, the available projects are: ID01: Robust knowledge discovery of cell interactions in multichannel imaging flow cytometry and live cell imaging ID02: Close proximity human-robot interaction in medical interventions – combining robot control and data science approaches ID03: Fragments filtration for helium radiography and computed tomography ID04: Knowledge Graph Reasoning for Generalized Surgical AI ID05: Multimodal decision support for postoperative monitoring after brain tumor surgery ID06: Enhancing Biomarker Discovery through Covariate-Aware Multi-Omics Factorization Models ID07: Data-based outlier detection and risk validation for multi-class prediction in newborn screening Here you can find the abstracts and PIs of each project: https://www.helmholtz.de/assets/hidss4health/Dokumente/HIDSS4Health_Project_Abstracts_2025.pdf We offer Cutting-edge research and working with top-experts in data science, AI, health and medicine Inspiring work environment in an interdisciplinary setting Integrated structured training curriculum of scientific and professional skills taught in English Financial support for attending conferences and research collaborations A contract for a fully-funded position with competitive salary according to the applicable regulations of the participating institutions (e.g. German E13 TVöD or TV-L) at one of the three HIDSS4Health research institutions Contact: Dr. Daniel Walther Telefon: +49 6221 42-3018 The positions are limited to 3 years. An extension is possible. Application Deadline: 25.08.2025 Are you interested? Then become part of the DKFZ and join us in contributing to a life without cancer! Apply now We are convinced that an innovative research and working environment thrives on the diversity of its employees. Therefore, we welcome applications from talented people, regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical ability, religion and age. People with severe disabilities are given preference if they have the same aptitude. Notice: We are subject to the regulations of the Infection Protection Act (IfSG). Therefore, all our employees must provide proof of immunity against measles. Share this job! Deutsches Krebsforschungszentrum | Im Neuenheimer Feld 280 | 69120 Heidelberg | www.dkfz.deGesundheit, Pflege, Sport Informatik Humanmedizin Gesundheit, Pflege, Sport Doktorand, Doktorandin Forscher, Forscherin, Researcher Lehre & Forschung, Wissenschaft Medizin, Heilkunde IT, EDV, Telekommunikation Forschungseinrichtung Vollzeit