Medical Imaging Standardisation for Large Scale Studies

University of Surrey

Faculty of Engineering and Physical Sciences

Project Description

The Centre for Vision Speech and Signal Processing (CVSSP) at The University of Surrey and the metrology for Medical Physics Group (MEMPHYS) at The National Physical Laboratory are pleased to offer a PhD opportunity in the field of medical imaging. The studentship is part of a unique partnership with Alliance Medical Limited – Europe’s largest independent provider of medical imaging.

The project will support standardisation for imaging in large scale studies using a combination of artificial intelligence (AI), big data, biomarker and measurement science approaches. The purpose of the studentship is to bring new AI methods to bear on understanding medical images for cancer treatment with the potential to predict treatment outcomes using these new methods. The studentship is anticipated to work on methods and applications for CT (computed tomography) scanning and/or PET (positron emission tomography).

This is a 4 year project, commencing by October 2021.

Funding Information

A stipend of £18,285 for 20/21, which will increase each year in line with the UK Research and Innovation (UKRI) rate, plus Home/EU-rate fee allowance of £4,407 (with automatic increase to UKRI rate each year). The studentship is offered for 4 years.

Eligibility Requirements

A first class or 2:1 honours degree (or equivalent overseas qualification) in an appropriate discipline (e.g. engineering, computer science, signal processing, applied mathematics, and physics). You should be able to demonstrate excellent mathematical, analytic, programming skills.

IELTS requirements: 6.5 or above (or equivalent) with no sub-test of less than 6.

We acknowledge, understand and embrace diversity.

Application Process

Applications should be submitted through the PhD course page.

Please clearly state the studentship title and supervisor in your application. For enquiries contact Prof Phil Evans ([email protected]) indicating your areas of interest and including your CV with qualification details (copies of transcripts and certificates).

To apply for this PhD, please use the following application link: