At the University of Greifswald’s Institute of Physics, MR Physics Working Group , in the Faculty of Mathematics and Natural Sciences, there is a job vacancy expected to be available for 01 April 2026 , subject to the approval of funds, for a part-time (75%)

Research Assistant

for the development of automated post-processing methods . The fixed-term contract ends on 31 March 2029. Payment will be made according to pay group 13 TV-L Wissenschaft .

The MR Physics Research Group at the University of Greifswald, led by Prof. Dr. Schnell, conducts research using state-of-the-art cardiovascular and neurovascular MRI techniques. Since December 2022, the group has access to a cutting-edge 3-Tesla research MRI system with two exclusive measurement days per week. In addition, several clinical MRI systems from the Department of Diagnostic Radiology are available for application-oriented studies. The chair is closely integrated into the master’s degree course Medical Physics, providing an interdisciplinary, research-oriented environment with excellent opportunities for professional development and qualification.

The project is part of a research consortium funded by the EU and the state of Mecklenburg-Vorpommern. The advertised position will focus on developing advanced post-processing methods for the fully automated analysis of MRI flow measurements in patients with intracranial aneurysms.

The first step is to establish a fully automated neural network-based segmentation of 4D flow MRI data. This segmentation will make it possible to determine the wall shear stress at the aneurysm wall. As clinical resolution often leads to significant errors in these calculations, MRI flow data will be upscaled using neural networks ("super resolution”). Various network architectures will be investigated to achieve the most realistic velocity profiles near the vessel wall.

The developed methods will be validated both in 3D-printed replicas and using in vivo patient data to ensure reliable and practical application.

The project work will be conducted in close collaboration with the Karolinska Institutet in Stockholm and the Institute For Applied Computer Science (IACS) of the University of Applied Sciences Stralsund, providing an excellent environment for international research and further professional development.

Job description:

• Development of a fully automated segmentation of 4D flow MRI data for brain aneurysms using neural networks.
• Investigation of different "Super Resolution" architectures to upscale the flow measurements.
• Development of a software tool for the fully automatic determination of wall shear stresses in aneurysms.
• Writing scientific publications.

Job requirements:

• A university degree in physics, computer science, medical informatics, mechanical engineering, electrical engineering, medical technology, or engineering completed at the time of employment is required.
• Ability to communicate in English and German, both written and spoken. - Ability to work in a team, a high degree of self-organisation, and the ability to communicate with physicians, physicists, and engineers.

Desirable:

• Advanced knowledge of neural networks (e.g. Tensorflow) and experience in medical image processing
• In-depth knowledge and experience in object-oriented software programming in C++ and Python (e.g. with PyTorch)
• Knowledge of image processing, visualisation, and programming for the development of graphical user interfaces

This advertisement is directed at all persons, irrespective of gender.

The University would like to increase the proportion of women in areas where they are underrepresented, and thus applications from women are particularly welcome and will be treated with priority if they have the same qualifications, provided there are no clear reasons that make a fellow applicant more suitable.

Severely disabled applicants with the same qualifications will be considered with preference.

In accordance with § 68(3) PersVG M-V, the Staff Council will only be involved in staff matters of the academic or artistic staff on request.

Please submit only copies of the original documents with your application, as the originals cannot be returned. Unfortunately, the application costs (e.g., travel expenses for interviews) will not be reimbursed by the state of Mecklenburg-Vorpommern.

Please note that by submitting your application, you provide your consent pursuant to data protection law for our processing of your application data. Further information about the legal bases and the use of your data can be found here .

Applications comprising all usual documents (curriculum vitae, copies of certificates, where appropriate a publication list, short description of previous projects or bachelor’s and master’s dissertations, reference letters from 2-3 reference contacts) must be sent with reference to the job advertisement number 25/B34 by 22 ^th of February 2026 , preferably via email (one PDF file), to:

Universität Greifswald

Felix-Hausdorff-Str. 6

susanne.schnell@uni-greifswald.de