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Featured bySwansea University
Overview
Scholarship type
Merit based
Number of scholarships to award
Multiple
Grant
Full tuition waiver + £18,622
Scholarship coverage
- tuition fee reduction
- other
Description
The aim of this PhD project is to investigate whether match key performance indicators (KPIs) are effective at predicting match outcome at the elite rugby union level in the URC.
The candidate will review current key performance indicators and analyse their influence on match outcome. The candidate will build and refine machine learning techniques to find latent patterns or parameters in the data to statistically predict match outcome and league position. Initially, these models will be based on legacy data from our project partner, Scarlets Rugby. This dataset comprises individual athlete, team, strategy, and wellness information from 5 prior seasons. The models will be verified/refined on the legacy data test efficacy and then applied to the current URC season 24-25.
The candidate will be embedded in a professional rugby environment and will be expected to adhere to strict non-interference rules. They will be responsible for collecting multi-channel data from a range of micro-technology devices that assess performance and monitor training load and ultimately will oversee data quality, provenance and curation within a standardised database.
Available resources/facilities: A-STEM labs (biomechanics and exercise physiology)/Scarlets load monitoring and performance analysis equipment.
Applicable programmes
Benefits
This scholarship covers the full cost of UK tuition fees and an annual stipend at UKRI rate (currently £18,622 for 2023/24).
Additional research expenses will also be available.
Eligibility
- Candidates must hold an undergraduate degree at 2.1 level in a STEM discipline.
- If you are eligible to apply for the scholarship but do not hold a UK degree, you can check their comparison entry requirements.
- Please note that you may need to provide evidence of your English Language proficiency.
- Experience in MATLAB, PYTHON and GPS Data Collection are desirable.
- Due to funding restrictions, this scholarship is open to applicants eligible to pay tuition fees at the UK rate only, as defined by UKCISA regulations.
Scholarship requirements
Disciplines
Sport and Exercise Science
Locations
United Kingdom
Nationality
Any
Study experience required
Bachelor
Age
Unknown
Application
Application deadline
15 May 2024
To apply, please complete your application online with the following information:
Course choice – please select Sports Science / Ph.D. / Full-time / 3 Year / July
Start year – please select 2024
Funding (page 8) –
‘Are you funding your studies yourself?’ – please select No
‘Name of Individual or organisation providing funds for study’ – please enter ‘RS598 - Professional Rugby Union’
*It is the responsibility of the applicant to list the above information accurately when applying, please note that applications received without the above information listed will not be considered for the scholarship award.
One application is required per individual Swansea University led research scholarship award; applications cannot be considered listing multiple Swansea University led research scholarship awards.