Ph.D. Studentship in Machine Learning for Endoscopy Video Analysis

Project Description

In partnership with the Artificial Intelligence Research Centre (CitAI) at City, University of London, Cosmo Intelligent Medical Devices is funding a Ph.D. Studentship on Endoscopic Video Analysis. The Ph.D. project offers the opportunity to investigate and pursue research in machine learning applied to endoscopy, with access to Cosmo IMD computational facilities and a proprietary library of annotated endoscopy videos. These datasets are unprecedented in size, quality, and heterogeneity and will offer an exclusive real-world benchmark for self-supervised and fully supervised learning approaches.

About the Studentship

We seek outstanding Ph.D. candidates with a strong interest, enthusiasm, and high potential in machine learning research for medical imaging applications. Applicants are typically expected to have a first-class, distinction, or high upper-second-class degree in relevant subjects, including computer science, mathematics, engineering, physics, or another discipline relevant to their Ph.D. project proposal.

The project will be carried out at The Artificial Intelligence Research Centre (CitAI) at City, University of London, in collaboration with Cosmo IMD. City University has a demonstrated high-quality research output, with over 75% of its studies rated as world-leading research. The Ph.D. studentship will be funded for three years and includes tuition fees for home students and a highly competitive tax-free stipend.

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