Medical imaging standardisation for large scale studies

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).

We acknowledge, understand and embrace diversity. 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). Candiates should be able to demonstrate excellent mathematical, analytic, programming skills.

This studentship is available for UK/EU students only.

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

Centre for Vision, Speech and Signal Processing (CVSSP)

About CVSSP

CVSSP is a leading UK research centre in audio-visual signal processing, computer vision and machine learning ranked 1^st in the UK and 3^rd 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