PhD student – Physics (m/f/d)
Job Description
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/salary group 13 | Clinic for Radiology/Experimental Magnetic Resonance Group | Job ID: 11135
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 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 (CRC) 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
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
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
Motivation for scientific work and willingness to contribute to an interdisciplinary team
Good English communication skills (spoken and written); German skills are advantageous
Exciting Projects
Professional Development and Training
Interdisciplinary Collaboration
Part of Research Innovation
Additional Benefits
