Research Associate in MR Physics and Deep Learning
Job ID: 048868
Salary: £38,826 - £45,649 per annum, including London Weighting Allowance
Business unit: Faculty of Life Sciences & Medicine
Department: Biomedical Engineering
St Thomas' Hospital
This postdoctoral position is funded by a 5-years British Heart Foundation programme grant entitled ¨ Detection of High-Risk Plaque with Multicontrast Coronary MRI¨. The candidate will work in an interdisciplinary team consisting of physicists, engineers, computer scientists, biologists, chemists, and clinicians to develop novel MR imaging techniques (image acquisition and reconstruction) that allow the non-invasive detection of coronary artery disease. The research will be performed in close collaboration with industry (Siemens Healthineers) and clinicians to allow fast prototyping and implementation of works in progress packages, the industrial standard prior to product development. The research team is located at St Thomas´ Hospital in the Department of Biomedical Engineering which has access to 10 state-of-the-art clinical research scanners with field strengths varying from 0.55T, 1.5T, 3T to 7T. The specific aims of the project will be
1) To devise and validate a novel coronary plaque MR imaging protocol for contrast-free detection of high- risk plaque by providing images of coronary stenosis, intraplaque haemorrhage (IPH) and intraluminal thrombus in a single 3D free-breathing examination in less than 10 minutes.
2) To devise a super-resolution coronary vessel wall imaging sequence, which will enable coronary anatomy, IPH and thrombus visualization as well as coronary plaque burden quantification.
3) To devise a super-resolution model based joint T1/T2 mapping sequence of coronary wall integrated in above framework to enable quantitative coronary plaque characterization and high-risk plaque detection.
The successful applicant will be closely supervised by Prof René Botnar and Prof. Claudia Prieto at the School of Biomedical Engineering and Imaging Sciences and will be part of a vibrant research team of 20 PhD students and postdocs.
Located in the heart of London, King’s is the hub of a global network of strong academic connections and collaboration, with prestigious international partnerships within and across disciplines – scientific and medical, social and creative. King’s is investing in the highest calibre of talent to drive the university forward to achieve its greatest potential. The very best from the United Kingdom and across the globe are invited to join King’s. We are looking for a strong commitment to teaching and research, to push the boundaries of knowledge, influence the future and create a lasting impact.
Contact details: Professor René Botnar,
[email protected] This post will be offered on a fixed-term contract for 3 years.
This is a full-time post - 100% full time equivalent.
Closing date: 20-Jul-2022
Apply link:
https://jobs.kcl.ac.uk/gb/en/job/048868/Research-Associate-in-MR-Physics-and-Deep-Learning
