Funded PhD Studentship: DTC CS 14 - Machine learning methods for health and social care: Developing state-of-the-art machine learning methods to assist in health and social care delivery

Swansea University is a UK top 30 institution for research excellence (Research Excellence Framework 2014), and has been named Welsh University of the Year 2017 by The Times and Sunday Times Good University Guide.

Swansea Science DTC is a community committed to undertaking world-class research that has a positive impact globally and we have a fully-funded PhD scholarship for 2017/2018 entry.

The Department of Computer Science provides state-of-the-art facilities including fully networked laboratories running Windows and Linux and a project laboratory containing specialised equipment. Laboratories support a wide range of software including programming languages Java, C# and the .NET framework, C, C++, Haskell and Prolog.

There are also integrated programme development environments such as Visual Studio and Netbeans; the widely used Microsoft Office Package; web access tools and many special purpose software tools including graphical rendering and image manipulation tools and more.

In the most recent Research Excellence Framework (REF) in 2014, 80% of the research submitted by the Computer Science Department was judged to be world-leading or internationally excellent. High profile researchers include Professor Harold Thimbleby whose book ‘Press On’ won the American Publishers’ Association best book award in computer science. The department has the 12th highest percentage of world-leading researchers in any computer science department in the UK. The department also has strong links with multinational companies including IBM, Nokia, SanDisk, Philips, Affinity Software and Sourcebits.

Description:

In this project, the successful candidate will learn and develop state-of-the-art machine learning methods, such as deep learning techniques, to assist in health and social care delivery. Machine learning methods will be designed to recognise and understand subjects’ activities and behaviours, and link them to their physical and mental health status. The project will be within a team of researchers experienced in machine learning and deep learning, and in close collaboration with experimental psychology departments at Swansea and Bristol Universities.