Research Associate - Biomedical Engineering
Department : Biomed Eng & Imaging Sci School Office
Artificial intelligence and machine learning are having a large impact on the way heart diseases are being recognised and quantified using medical imaging. At St Thomas' Hospital, approximately 4500 patients have a cardiac MRI scan every year. This project will develop and apply state of the art machine learning methods to automatically analyse these scans, in order to provide doctors with detailed information on the presence, location and severity of heart disease.
The role will require the application and refinement of tools to 1) access databases in a manner consistent with patient privacy and data protection regulations, 2) collate relevant information on the status of the patient, 3) evaluate the images, and 4) provide reports and derived data on the anatomy and function of the heart back into the clinical databases. This will include analysis of the images to provide segmentations and geometric models of heart shape and motion throughout the heartbeat, as well as analysis of scar burden, tissue characteristics and perfusion information. These data will be used to develop statistical models of patient outcome in relation to disease status, treatments, and interventions.
The role will require the use of databases and development of image processing methodologies, including segmentation and registration techniques. This role requires good software development skills, including requirement analysis, design, development, testing, and maintenance of different software components. In addition, the role provides the opportunity for research that develops novel methodologies for AI in medical imaging.
The role will be based at King's College London, in collaboration with clinical cardiac MRI teams at St Thomas' Hospital. This project will also collaborate with industry partners including NVIDIA and Siemens to ensure translation of the methods into clinical practice worldwide.
This post will be offered on a fixed-term contract for 24 months.
This is a full-time 100% full time equivalent.
The selection process will include a panel interview, a presentation.
Grade and Salary : Grade 6, £37,412 - £44,015 per annum inclusive of £3,223 London Weighting Allowance per annum
Job ID : 009866
Close Date : 10-Mar-2019
Contact Person : Sarah Jeffrey
Contact Details : firstname.lastname@example.org
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