In collaboration with Toshiba Medical Visualization Systems, this project will develop methods, algorithms and theory that realize decision support systems via deep representation learning mechanisms based on both imaging and non-imaging clinical data.

Candidates should have a Master’s level education (or in exceptional cases an excellent (upper second class and higher) Bachelor’s degree) in electronic/electrical engineering, computer science (informatics), physics or closely related subjects. Any prior experience in medical image analysis is desirable but not necessary. Prior exposure to machine learning is desirable but not essential. The candidate will be expected to have a high level of analytical and investigative skills. The candidate should have good programming skills (e.g., Python, Matlab) and a solid mathematical background.

For more information on the project and how to apply, please visit:

Informal inquiries can be addressed to Principal Supervisor Dr Sotirios Tsaftaris with a CV attached.

The deadline for application is 15 June 2017