Research Fellow in AI for Advanced Endoscopic Imaging Full-time

Research Fellow in AI for Advanced Endoscopic Imaging

The post will contribute to the 12-month POLARIS-AI OASIS pump-priming project, developing AI methods for advanced endoscopic imaging, with polarisation-resolved endoscopy as the initial imaging modality.

The postholder will develop computational pipelines and AI models for multimodal image reconstruction, enhancement, fusion and validation. They will also contribute to benchmarking and evaluation of the developed methods using relevant imaging datasets and downstream computer vision tasks.

This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff. The salary range for this role is £45,103 – £49,943. This is a fixed term role until 31st August 2027 in the first instance. The role is working on site.

Applicants should have a PhD or equivalent research experience in computer vision, machine learning, computational imaging, surgical data science, biomedical engineering, medical image computing or a closely related discipline. They should have strong knowledge of AI, computer vision and deep learning methods relevant to imaging, together with programming experience using modern scientific computing tools such as Python and PyTorch or TensorFlow. The successful candidate will have excellent communication skills, the ability to work independently, and the ability to collaborate effectively within a multidisciplinary research environment spanning computer science, engineering, imaging science and clinical or translational research.

Applications must include a CV and a Support Statement addressing the essential and desirable criteria in the Person Specification.

As well as the exciting opportunities this role presents, we also offer great benefits. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; and for our Grade 9 and 10 roles, women. Our department holds an Athena SWAN Gold award, in recognition of our long-term commitment and 'beacon' status in advancing gender equality.