|Funding for:||UK Students, EU Students|
|Placed On:||14th September 2018|
|Closes:||31st October 2018|
Funding for: UK and EU applicants only
Funding amount: Tuition fees + UKRI Doctoral Stipend for up to 3 years
Supervisor name: Dr Simon Jones
Email contact: firstname.lastname@example.org
Overview of the research
We are looking for a motivated candidate, with a background in areas such as computer vision, machine learning, data visualisation and human-computer interaction to work on an exciting new collaborative project with the Royal National Hospital for Rheumatic Diseases (RNHRD).
The project will focus on designing, developing and evaluating tools to support smartphone-based methods for capturing and visualising outcome measures for Ankylosing Spondylitis (AS), a long-term inflammatory condition.
The RNHRD has played a leading role in developing the scales used worldwide to monitor AS disease progression, collectively known as the Bath Indices. These include monitoring the changes in spinal movement capability.
It is envisaged that a complete smartphone-based tool can be developed allowing for objective, home-based, capture of the Bath Indices to create an accessible application to support long-term care.
A successful assessment tool would have significant impact for both future academic research and clinical trial/assessment. This will reduce the risk of clinician error and provide a method for patients to self-monitor their condition between appointments. New visualisation tools, presenting information generated using the automated measurement methods will provide valuable feedback for both patients and clinicians regarding disease progression and generate new knowledge about the impact and management of flares.
The successful candidate should have (or expect to have) a UK Honours Degree (or equivalent) at 2:1 or above in Computer Science or similar. Other related backgrounds can also be considered, like Engineering or Mathematics with computer algorithms experience. Desirable experience would include some knowledge of either machine learning or computer vision for practical purposes.
More information about applying for a PhD at Bath may be found here: www.bath.ac.uk/guides/how-to-apply-for-doctoral-study
 Zochling, J. Measures of Symptoms and Disease Status in Ankylosing Spondylitis. Arthritis Care and Research. 2011;63(S11):S47-S58)
The successful candidate will receive a studentship funded by the University of Bath and the Royal United Hospitals Bath NHS Foundation Trust. The studentship will cover Home/EU tuition fees and a stipend (£14,777 in 2018/19) for a period of 3 years as well as providing a budget for research expenses.
Preferred start date: January 2019
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