Research Position In Quantitative MRI For Next-Generation Biomarker Mapping
We are looking for a talented MRI scientist to join the team of Prof. Jessica Bastiaansen to develop imaging technology for clinical MRI systems. The candidate will join an exciting research initiative in active collaboration with Siemens Healthineers (on-site scientists), clinicians from the Department of Interventional and Pediatric Radiology (DIPR), and physicists and engineers from the Translational Imaging Center (TIC) at the SITEM-INSEL. The TIC is an interdisciplinary research environment with state-of-the-art 3T and 7T MRI scanners. Clinical translation is furthermore supported by MRI scanner access and established collaborations within the Department of Radiology (DIPR) at the INSEL, one of five Swiss university hospitals. The SITEM-INSEL hosts various research groups, a variety of startups, and fosters entrepreneurship. Through collaborations with the AI center (CAIM) and the ARTORG institute, the environment contributes to thriving (bio)medical research activities in the capital of Switzerland.
In this project we will develop imaging technologies that exploit MR signal asymmetries for frequency-resolved tissue property quantification at 3T and 7T, leading to artifact-free next-generation biomarker imaging (for more details see contact below). The SNSF funded project aims to bring a new perspective on quantitative imaging and to maximize the amount of information derived from MRI exams to address unmet needs in healthcare, especially for the staging of liver and cardiac diseases. The challenge lies in the multi-dimensional nature of the data acquisition and in the reliable identification of MR property clusters as potential biomarkers.
Exact details of the project can be adjusted based on background and interests of the applicant.
- PhD in Engineering, Computer Science, Life Science, Medical Physics or related fields, with a strong publication record in MRI research.
- Demonstrated research experience with modern image reconstruction techniques (iterative image reconstruction, low rank, compressed sensing, etc.)
- Experience in MR pulse sequence development (Siemens preferred).
- Strong programming and signal processing skills (non-linear optimization algorithms, signal modelling and fitting).
- Experience with abdominal and cardiac imaging, or imaging at high field is advantageous.
- Experience with phantom, volunteer and patient MRI is advantageous
- 4-year employment
- Access to state-of-the-art research environment and cutting-edge technology
- Stimulating and interdisciplinary work environment
- Time to work on own projects (20% under discussion with the PI)
- Opportunities to develop academic career (grant applications, student supervision)
- Attractive work conditions (salary, vacation days, benefits)
Email for aaplication: