Research Associate in MR Physics and Deep Learning

London (Greater)
£38,826 - £45,649 per annum, including London Weighting Allowance
23 Jun 2022
End of advertisement period
20 Jul 2022
Academic Discipline
Clinical, Pre-clinical & Health
Job Type
Research Related
Contract Type
Fixed Term
Full Time

Job description

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. 


This post will be offered on a fixed-term contract for 3 years 

This is a full-time post - 100% full time equivalent


Key responsibilities

•        Development of novel MR acquisition and image reconstruction techniques (including machine learning based approaches) for high-resolution coronary artery imaging.  

•        Validation of novel developments in phantoms, healthy subjects and patients.  

•        Achieve the above objectives in a coordinated way by effective teamwork and collaboration with colleagues. 

•        Contribute to the development and delivery of undergraduate and postgraduate teaching in the department 

•        Attend and, as appropriate, present research findings and papers at internal and external academic meetings, seminars and conferences and to contribute to the internal and external visibility of the Department. 

•        To contribute to the production of research reports and publications. 

•        To engage in integrative and original research and produce written research outputs, as set out in the research project. 

•        To undertake any other reasonable duties that are relevant with the Role Outline. 

•        Liaise with colleagues and students. 

•        Contribute to the integration and collaboration of research projects with other branches of the group and with external collaborators. 


The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.  

Skills, knowledge, and experience 

Essential criteria  

1.      PhD awarded (or near completion) in Engineering, Physics, Computer Sciences or similar. 

2.      Experience in Magnetic Resonance physics 

3.      Experience in Magnetic Resonance image reconstruction (e.g. parallel imaging, compressed sensing) or inverse problems 

4.      Experience in Machine Learning techniques 

5.      Experience in MATLAB, Phyton, C++ or similar 

6.      Presenting scientific research in the form of papers, posters and oral presentations 

7.      Working as part of a multidisciplinary research team, relying on and supporting others effectively 

8.      Excellent verbal and written communication skills 


Desirable criteria

1.      Experience in Magnetic Resonance pulse sequence development (Siemens environment preferred) 

2.      Experience in phantom, healthy subjects and patient scanning with MR imaging 

3.      Applying specialist knowledge in the context of medical imaging 


Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6. 

Further information

If further information is required, please contact

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