PhD studentship in the field of machine learning in medical imaging
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.
Who Can Apply
- Region
- United Kingdom
- Citizenship
- United Kingdom
- Project in
- United Kingdom
- Applicants
- individual
Application Details
Stages
- 1 single_stage
Required documents
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
External Application
This opportunity requires you to apply directly on the funder's website.
Apply on External SiteKey Information
- Award Amount
- £19668.00 - £19668.00
- Application Deadline
-
March 30, 2023 at 23:59 UTCDeadline passed
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