Job ID: 048865
Salary: £38,826 per annum, including London Weighting Allowance
Business unit: Faculty of Life Sciences & Medicine
Department: Biomedical Engineering
Contact details: Professor René Botnar,
[email protected]St Thomas' Campus
This postdoctoral position is funded by a 3-years project grant between King´s College London and Aarhus University, as part of a multicenter study. The candidate will work in an interdisciplinary team consisting of physicists, engineers, computer scientists, biologists, chemists, and clinicians to develop novel deep learning super resolution and image reconstruction techniques to enable free-breathing motion corrected 3D MR coronary artery angiography (CMRA) in a scan time of less than 1 minute or even in a single breathhold. The research will be performed in close collaboration with industry (Siemens Healthineers) and clinicians to allow fast prototyping and validation in a multicenter study. The research team is located in 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 a super-resolution deep learning network to enable free-breathing motion corrected 3D coronary MR angiography (CMRA) in less than 1 minute.
2) To devise an end-to-end deep learning network to enable joint motion estimation and motion corrected undersampled image reconstruction for 3D CMRA.
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 until 31 March 2025.
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/048865/Research-Associate-in-Deep-Learning-for-Medical-Imaging