Scholarship

PhD studentship in the field of machine learning in medical imaging

Imperial College London Original Source

About This Opportunity

This PhD studentship is jointly hosted by the Department of Electrical and Electronic Engineering and Imperial College's I-X initiative. The research will explore machine learning solutions for improving medical imaging workflow, particularly focusing on advanced deep learning approaches for inverse problems. The project aims to develop approaches that incorporate explicit prior knowledge into deep learning methods for data-efficient and interpretable learning, combining knowledge-driven and data-driven approaches for inverse medical imaging problems such as image reconstruction and image registration. The research is at the intersection of artificial intelligence and healthcare, with the potential to make significant positive impact on society by improving patient care through better diagnosis and treatment. The studentship is available to both home and overseas applicants and is especially targeted at PhD applicants with an interest in artificial intelligence and healthcare. Prospective students will join the Biomedical Image Analysis Group.

36 - 49 mo
1 awards

Who Can Apply

Region
United Kingdom
Citizenship
United Kingdom
Project in
United Kingdom
Applicants
individual

Application Details

Stages

  1. 1 single_stage

Required documents

cv transcripts research_proposal

Review process

Applicants should choose Electrical and Electronic Engineering Research Program and Intelligent Systems and Networks Group, indicating Dr Chen Qin as a potential supervisor when making the application.

Additional benefits

  • training

Restrictions

  • no_concurrent_funding