PhD Position in MR Physics, Machine Learning, and Signal Modelling

The MR Physics group at the University of Lübeck (Germany) is seeking a talented and highly motivated PhD student to join our group in 2025.

Our Research: Our MR Physics group is based both at the University of Lübeck and at the University Medical Centre Hamburg Eppendorf (UKE). We also closely collaborate with the MPI in Leipzig (Director: Nikolaus Weiskopf) on ultra-highfield MRI (7T) and ultra-strong diffusion gradients (3T Connectom).

A primary research focus of our group is the development and validation of MR-based biophysical models to estimate specific microstructure tissue parameters such as the MR-based g-ratio (a measure of axonal conduction velocity), cell and axon radii distribution, or myelin and iron density using in vivo and ex vivo MRI as well as ex vivo histology. The successful candidates will work together with our group on the ERC project “MRStain - Non-invasive staining of tissue microstructure in temporal lobe epilepsy using in-vivo MRI”.

Learn more about our group here: https://sites.google.com/view/microstructure-mri/home-page 

Equipment: Access to several 3T-Siemens MR systems (Prisma, Cima.X, `Connectom, Skyra located in Hamburg, Kiel, Leipzig, and Lübeck), and a human 7T MR system (Leipzig) and preclinical MR system.

We offer:

The salary will be paid in accordance with remuneration group E 13 TV-L (Public Sector Collective Agreement). The position is part-time, for 28,75 hours per week, and is based on a fixed-term contract limited to 3 years. The preferred start date is March 3, 2025.

Your qualifications:

• A master’s degree in Physics, Engineering, Computer Science, or a comparable discipline (Master, Diploma , etc.), experience in, at least, one of the following skills: MR physics, programming (Matlab, C, C++, Python), image analysis methods, mathematical modelling, analysis of big data, or machine learning is required
• Excellent communication skills in English (spoken and written); German is considered a plus
• Moreover, excellent problem-solving, interpersonal, communication, self- and time management skills, and the ability to work effectively both in a team and independently are a plus

We particularly welcome female applicants and those from ethnic minorities, as they are underrepresented within our group at this level.

The application deadline is 05.02.2025. Please mention the reference number 25814 at your application.