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Research fellow in developing ai tools for brain & eye imaging

London
Permanent
UCL Eastman Dental Institute
Research fellow
Posted: 16 December
Offer description

About the role

The medical profession has known for more than years that it is possible to detect signs of general health through eye examination, from high blood pressure to anaemia to kidney failure. However, the recent combination of: 1) advanced retinal imaging, 2) advanced MRI data, and 3) rapid progress in artificial intelligence (AI), promises to supercharge this capability.

The role focuses on integrating two distinct data sets: advanced retinal imaging and MRI brain MRI. The postholder will be responsible for defining ways for integrating the two datasets, and for exploring how pathologies across different organs interact. By leveraging cutting-edge AI approaches, the aim is to enhance predictive power for disease screening and early diagnosis, while deepening understanding of mechanisms underlying disease pathogenesis.

The salary range is £45, - £49, max

This role is an open-ended contract with a funding end date of 2 years after the start date, but not exceeding the project end date.

This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff. Please visit for more information.

About you

The post requires an honours degree (minimum 2:1) and a PhD in a discipline related to the role. The candidate should have a track record in the theory, development, and application of medical image analysis, machine learning/AI tools with relevance to this project. The candidate should also have strong problem-solving abilities, excellent communication skills, and a track record of high-quality research publications.

Further details are provided in the person specification linked at the bottom of the page.

What we offer

As well as the exciting opportunities this role presents, we also offer some great benefits.

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