About the position
About us The Research Fellow will work directly with Professor Marinko Sarunic’s group at UCL Institute of Ophthalmology and UCL Department of Medical Physics and Biomedical Engineering, in addition to Dr Hari Jayaram Consultant Ophthalmic Surgeon and Clinician-Scientist based at Moorfields Eye Hospital NHS Foundation Trust. The post holder is responsible for delivering key tasks within a large EU grant funded project and will be involved in the development AI supported diagnostic tools and assessing off-the-shelf AI-assisted technology for ophthalmic analysis and data capture, in close collaboration with researchers at Moorfields Eye Hospital. About the role This Research Fellow post will support key outputs for the Horizon Europe grant awarded project ‘TRIO VI CoE (Translational Research and Innovation in Ophthalmology Vision - Centre of Excellence)’. As part of the Horizon Europe ‘Widening Participation and Spreading Excellence’ actions (triovi.icter.pl/en/home/) The vacancy is for a highly motivated, creative, and independently thinking Research Fellow with advanced AI specialist skills, with experience of applying these in a clinical ophthalmic setting. The post holder will apply techniques such as machine learning on large datasets to develop prediction models and AI methods to optimise instrumentation used in the diagnosis and treatment of eye disease. The appointee will form part of a team whose primary research focus is on the development of a Translational Eye Platform (TEP), in the form of Virtual Clinic(s). The TEP aims to accelerate the development and real world deployment of innovative ophthalmic technologies by building the infrastructure, patient engagement processes, expert training, and evaluation systems needed to make TEP fully operational and impactful for both patients and professionals. Duties include: - Provide AI design advice on the equipment and set up of the ‘TEP Experimental Lab’ – the testing ground for latest technologies by ICTER - Develop the guidelines for the bioethics requirements related to patient data - Design, lead and take responsibility for the development of a software package incorporating AI diagnostic tools to enable a return of results to patients via the TEP and also share imaging measurement data with project partners. - With TRIO’s collaborators, develop a ‘Patient Academy’, a web based and patient friendly ophthalmic knowledge base, with materials on eye diseases and therapies. - Liaise and actively collaborate with project partners in France at the Institut de la Vision and at ICTER in Poland - Provide progress updates and monthly reports to the Project Manager so that project delivery can be monitored, along with content for deliverable and periodic reports required in the EC grant This post is funded until 31/05/2029 in the first instance. Salary will be on G7, Point 31 (£45,103 per annum inclusive of London Allowance) About you The successful candidate will hold an interdisciplinary PhD in applied or medical science spanning digital healthcare, computing and data science, biomedical engineering or a related field. Extensive knowledge in development and application of AI/machine learning for analysis of medical imaging and data is essential as is a strong understanding of data-based strategies within digital health care. You will demonstrate evidence of completed research and a suitable publication record including primary / lead authorship in journals relevant to the field of research (AI, machine learning, ophthalmology). Experience with medical image analysis techniques, with a focus on common ophthalmology modalities (eg CFP, OCT) is also essential. Customer advert reference: B02-10905
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