瑞士伯尔尼大学博士后职位---定量MRI用于下一代生物标志物成图

瑞士伯尔尼大学博士后职位---定量MRI用于下一代生物标志物成图

Research Position In Quantitative MRI For Next-Generation Biomarker Mapping

University Of Bern

Description

Research Position In Quantitative MRI For Next-Generation Biomarker

Mapping 100 %

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.

Tasks

The prospective candidate will participate in this project and is expected to develop advanced image reconstruction techniques for whole liver and whole heart frequency-resolved quantitative imaging, increase the robustness of biomarker detection, co-design an accelerated acquisition strategy, co- supervise students, participate in clinical studies, and present work at international conferences and publications. The project will be in close collaboration with the rest of the team as well as clinical collaborators. The candidate is expected to contribute to collaborative decision making, and propose new directions to progress research.

Exact details of the project can be adjusted based on background and interests of the applicant.

Requirements

We are an enthusiastic and young research team that looks for a creative colleague with a drive to push MRI to the next level. Further requirements:

  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

We offer

Some of the perks of this position include:

  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)

Applications

Application deadline:

August 31st 2021

Email for aaplication:

jbastiaansen.mri@gmail.com

www. unibe.ch