Imaging & Deep Learning for Enhanced Diagnostic Pathology in Animals and Humans

Secondary supervisor: Prof Roberto La Ragione
Industrial supervisor: Dr Spencer Thomas (NPL)

Applications are invited for a fully funded PhD studentship held jointly with the Centre for Vision Speech and Signal Processing and the School of Veterinary Medicine at the University of Surrey. The funding is for a three year research programme leading to the degree of PhD.

The aim of the project is to investigate machine learning and image analysis for developing a multi-modal platform for advanced biomedical image measurement and pattern analysis system for improving cancer diagnosis and translational applications. The project will use machine-led analysis to exploit information present in images, and other information, used for the diagnosis and characterisation of particular tumour types using digital pathology data sets available at the University and through Fitzpatrick Referrals, Oncology and Soft Tissue (FROST).

This project brings together expertise in imaging, machine learning, molecular science and veterinary pathology across CVSSP, the Surrey Vet School, FROST, vHive and NPL.

To apply
In the first instance, interested parties should contact one of the University supervisors:

Prof Mirek Bober: [Email Address Removed]
Dr Kevin Wells [Email Address Removed]
Prof Roberto La Ragione [Email Address Removed]