Optimising PET/CT for use in lung cancer radiotherapy treatment planning

The Centre for Vision Speech and Signal Processing (CVSSP) at The University of Surrey, Alliance Medical Limited, The Royal Surrey NHS Foundation Trust and the metrology for Medical Physics Group (MEMPHYS) at The National Physical Laboratory are pleased to offer a PhD opportunity in the use of PET/CT for Iung cancer radiotherapy treatment planning. The studentship is part of a unique partnership between our four organisations.

Start date

1 July 2021


4 years

Application deadline

Funding source


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.


The project will support the development and optimisation of PET/CT in lung cancer radiotherapy treatment planning using current PET imaging facilities at the Royal Surrey NHS Foundation Trust site and the forthcoming installation of a digital PET system, delivering major improvements in imaging capability. This project will build on on-going activity in AI-led oesophageal cancer staging with the aim to integrate AI into the clinical pathway to optimise treatment delivery and improve outcome. 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.

Related links

Centre for Vision, Speech and Signal Processing (CVSSP) Medical Physics NPL

Eligibility criteria

Candidates must hold 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.

This studentship is available to UK/EU students only.

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

We acknowledge, understand and embrace diversity.

How to apply

Applications should be submitted via the Vision, Speech and Signal Processing PhD programme page.

For enquiries contact Dr Kevin Wells indicating your areas of interest and including your CV with qualification details (copies of transcripts and certificates).

Studentship FAQs

Read our studentship FAQs to find out more about applying and funding.

Contact details

Kevin Wells
30 BA 00
Telephone: +44 (0)1483 686036
E-mail: k.wells@surrey.ac.uk



CVSSP is a leading UK research centre in audio-visual signal processing, computer vision and machine learning ranked 1st in the UK and 3rd in Europe for Computer Vision. Our Centre is one of the largest in Europe with over 170 researchers and a grant portfolio in excess of £24 million, bringing together a unique combination of cutting-edge sound and vision expertise. Our aim is to advance the state of the art in multimedia signal processing and computer vision, with a focus on image, video and audio applications. Our Centre has a robust track-record of innovative research leading to technology transfer and exploitation in biometrics, creative industries (film, TV, games, VR), communication, healthcare, robotics and consumer electronics.

CVSSP is a destination of choice for postgraduate talent and it is part of the Department of Electrical and Electronic Engineering which is ranked second in the Guardian newspaper league table 2020.  The University of Surrey has recently been ranked 7th in the UK in the 2020 Advance HE Postgraduate Research Experience Survey (PRES).

NPL is an internationally recognized standards laboratory. The successful applicant will be expected to spend time at each partner organization.

The student will have the opportunity to travel to The National Physical Laboratory and The Royal Surrey County Hospital NHS Foundation Trust for aspects of this project including training


Studentships at Surrey

We have a wide range of studentship opportunities available.