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Yves Wiaux

11 months ago

Computational Imaging for Democratisation of MRI in Medicine Heriot-Watt University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Funded PhD Project (Students Worldwide)

Deadline

Expired

Country flag

Country

United Kingdom

University

Heriot-Watt University

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Keywords

Computer Science
Machine Learning
Biomedical Engineering
Signal Processing
Electrical Engineering
Deep Learning
Neuroimaging
Mathematics
Health Science
Uncertainty Analysis
Magnetic Resonance Imaging
Bayesian Statistics
Image Reconstruction
Optimisation
Computational Imaging
Physics
Applied Mathematic

About this position

This fully-funded PhD position is offered by the Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University, Edinburgh, under the supervision of Professor Yves Wiaux. The research focuses on computational imaging for magnetic resonance imaging (MRI), specifically targeting low-resource settings where access to high-field MRI scanners is limited. The BASP laboratory is renowned for its work at the intersection of theory, algorithms, and applications in both astronomy and medicine.

The project is part of large, UK Research Council-funded initiatives aiming to develop advanced image reconstruction and analysis algorithms that leverage deep learning, optimisation, and Bayesian sampling. These algorithms are designed to deliver high-quality imaging, calibration, and uncertainty quantification, with scalability to large datasets. The PhD will concentrate on developing and validating image reconstruction algorithms for low-field MRI, which are more affordable and portable but typically produce lower-quality data. By improving image quality from these scanners, the project seeks to democratise access to MRI diagnostics, especially in low- and middle-income countries.

Research will include algorithm development at the interface of deep learning and optimisation, specialisation to low-field MRI, and validation on neuroimaging case studies using data from various low-field and experimental ultra-low-field scanners. The project benefits from collaboration with international experts in low-field MRI, including partners at Lausanne University Hospital, Leiden University Medical Center, and EPFL. Candidates should have a first class Master's degree in electrical engineering, applied mathematics, physics, computer science, or a related field. The scholarship covers tuition and stipend for 3.5 years and is open to international students.

Applications are accepted year-round, with screening beginning in December 2025. To apply, send a single PDF (motivation letter, transcript, CV, and two references) to Prof. Wiaux by email.

Funding details

Funded PhD Project (Students Worldwide)

What's required

Applicants must hold a first class Master's degree (or equivalent) in electrical engineering, applied mathematics, physics, computer science, or a related discipline. Outstanding academic record is required. International students are eligible. Application must include a motivation letter, full transcript of record, CV, and names of two references.

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Professors

Professor at School of Engineering & Physical Sciences

University Name
Country flag

United Kingdom

Research Interests

Astrophysics

Astronomy

Multiwavelength Astronomy

Synthetic Aperture Radar

High-resolution Imaging