Upcoming Events

PET is Wonderful & NHS Lothian International Meeting Feb 19, 2018 02:00 PM - 05:00 PM — Wellcome Auditorium/Fyfe Rooms, Queen’s Medical Research Institute, University of Edinburgh
'Let's Talk About Health' free public lecture Feb 21, 2018 05:30 PM - 06:30 PM — Wellcome Auditorium, Queen’s Medical Research Institute, University of Edinburgh
Edinburgh CVS-Neuroscience network launch Feb 22, 2018 01:00 PM - 05:00 PM — Wellcome Auditorium, Queen’s Medical Research Institute, University of Edinburgh
Intelligent Imaging KTN event Mar 15, 2018 09:30 AM - 05:00 PM — The Lighthouse, 56 Mitchell Street, Glasgow
Scottish Dementia Research Consortium Annual Conference 2018 Apr 23, 2018 10:00 AM - 04:00 PM — Radisson Blu, 301 Argyle St, Glasgow

PhD studentship in Edinburgh: Deep learning for clinical decision support

Deep learning for clinical decision support

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: http://www.eng.ed.ac.uk/postgraduate/research/projects/deep-learning-clinical-decision-support

Informal inquiries can be addressed to Principal Supervisor Dr Sotirios Tsaftaris S.Tsaftaris@ed.ac.uk with a CV attached.

The deadline for application is 15 June 2017