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A leading university hospital in Germany is seeking a highly motivated PhD student in the field of magnetic resonance to develop biophysical models for tumor characterization. The ideal candidate will hold a Master’s degree and possess strong programming skills in C++, Matlab, and Python. You will contribute to an innovative research project, collaborating closely with a diverse team to improve cancer staging and treatment monitoring through advanced MRI techniques. This position offers a part-time contract with competitive salary and excellent working conditions.
Job ID: 11471
Fixed term of 3 years | Part-time with 65% (25 hours/week) | Salary according to TV-L E13 | Clinic for Radiology – Experimental Magnetic Resonance Group
We are UKM. We have a clear social mission and, with our focus on healthcare, research, and teaching, we bear a unique responsibility.
To meet our high standards every day, we are looking forward to your scientific support at the Clinic for Radiology. As one of Germany's leading university radiology departments, we provide all outpatients and inpatients at UKM with state-of-the-art diagnostic imaging and image-guided therapy – ideally with you on board!
We are seeking a highly motivated PhD student to join our interdisciplinary research team to develop a novel biophysical modeling approach based on diffusion‑weighted magnetic resonance imaging to comprehensively characterize the tumor microenvironment (TME). Tasks will involve the development of improved biophysical models and corresponding MRI data acquisition protocols to characterize both cellular and vascular properties of the TME. The approach will be validated using a combination of in silico models, computer simulations, and in vitro experiments using tumor spheroids grown in perfusable bioreactors, as well as in vivo studies using a murine colorectal carcinoma model. By enabling the examination of the TME within a single scan session, this new method aims to improve cancer staging and therapy monitoring, and ultimately enable more personalized treatment plans for patients. Learn more about the research group.
For inquiries, please contact: Univ.-Prof. Dr. Cornelius Faber, faberc@uni-muenster.de
Apply now via our career portal until January 7, 2026.
Please include a motivation letter (1 page), your CV, certificates and your field of expertise (contact of two potential references is welcome).
Applications of women are specifically invited. In the case of similar qualifications, competence, and specific achievements, women will be considered on preferential terms within the framework of the legal possibilities. Handicapped candidates with equivalent qualifications will be given preference. Due to legal requirements working with us is only permitted with complete vaccination against measles.
(*gn=gender neutral)