PhD Student (gn*) Physics, Biophysics, Biomedical Imaging, Data Science, or a related field

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!

We are seeking a highly motivated PhD student to join our interdisciplinary research team working on MRI of inflammation and cancer using a multimodal approach. We combine contrast enhanced MRI with computer simulations of image contrast and mass spectrometric imaging of tissue samples and single cells. This project is part of the Collaborative Research Centre 1450 “Insight – Multiscale imaging of organ-specific inflammation” and aims to develop and apply a quantitative MRI approach, by establishing a data base of simulated and experimental MR data of tissue and single cells, to characterize immune cell dynamics in murine models of inflammation and cancer.

RESPONSIBILITIES:

• Developing and performing computer simulation of MRI contrast of labelled cells and tissue
• Labeling and tracking immune cells in cell culture and murine models of inflammation and cancer
• Collecting, analyzing and annotating MRI data
• Combining MRI and mass spectrometric imaging data in data base for quantitative MRI
• Participating in the CRC 1450 graduate school and presenting research findings at internal meetings and international conferences

REQUIREMENTS:

• A Master’s degree in Physics, Computer Science, Biomedical Imaging, or a related field
• A strong interest in magnetic resonance, biomedical imaging, and computational analysis
• Programming skills (C++, Matlab, Python)
• Willingness to perform cell culture and animal experiments
• Previous experience with quantitative MRI, contrast agents, and cell tracking/labelling is beneficial
• High motivation for scientific work and willingness to contribute to an interdisciplinary team
• Good English communication skills (spoken and written); German skills are advantageous

For further information, please contact: Univ.-Prof. Dr. Cornelius Faber, faberc@uni-muenster.de

More about our work: https://www.medizin.uni-muenster.de/en/nmr/home/

Apply now via our career portal until 24.09.2025.

Formal applications should include:

• Motivation letter (1 page)
• CV
• Certificates
• Field of expertise
• A reference letter is welcome