The University of Manchester
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3 weeks ago
PhD Studentship: Super-Resolution of 4D Flow MRI for Cardiovascular Disease using Machine Learning The University of Manchester in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Available
Deadline
Sep 25, 2026
Country
United Kingdom
University
The University of Manchester
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About this position
PhD studentship at The University of Manchester in super-resolution of 4D Flow MRI for cardiovascular disease using machine learning.
This 3.5-year funded project sits in the Department of Mechanical and Aerospace Engineering and focuses on a clinically important challenge: improving the quality of phase-contrast magnetic resonance imaging (Flow MRI) so that haemodynamic measurements can be used more reliably in cardiovascular care. The research aims to reduce noise and overcome low spatial and temporal resolution by combining high-fidelity computational fluid dynamics (CFD) simulations with advanced machine learning methods, especially convolutional neural networks (CNNs).
The project will develop a novel super-resolution framework for MR image enhancement, validate the approach using MRI scans of arterial flow phantoms, and work closely with clinicians to maximise translational impact. The intended outcomes include better estimates of key cardiovascular metrics such as velocity, wall shear stress, and turbulence, supporting diagnosis and management of cardiovascular disease.
The studentship provides a tax-free stipend of £21,805 at the UKRI rate for the 2026/27 academic year, and tuition fees will be paid at the home rate. The start date is expected to be October 2026 or January 2027.
Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s degree (or international equivalent) in a relevant science, mathematics, or engineering discipline. Strong preparation in fluid mechanics and/or machine learning is desirable, along with programming experience and strong communication skills. Training will be available in CFD and machine learning, and the student may also benefit from research visits to collaborators in Europe.
To apply, email your CV and a brief paragraph outlining your motivation to Dr Emily Manchester at [email protected]. The application deadline is 25 September 2026, and early application is recommended because the advert may be removed before the deadline.
Funding details
Available
What's required
Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science, mathematics or engineering-related discipline. Demonstrated excellence in fluid mechanics, machine learning, or both is preferred. Experience in programming (e.g. Python, MATLAB, C++, etc.) and strong written and verbal communication skills are required.
How to apply
Email your CV and a short paragraph explaining your motivation to study this PhD project to Dr Emily Manchester at [email protected]. Apply early, as the advert may be removed before the deadline. The stated deadline is 25 September 2026.
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