Sports Science: Fully Funded Swansea University and Scarlets Rugby PhD Scholarship: In-Game Statistics Associated with Match Outcome in Professional Rugby Union

Job title:

Sports Science: Fully Funded Swansea University and Scarlets Rugby PhD Scholarship: In-Game Statistics Associated with Match Outcome in Professional Rugby Union

Company

Job description

Offer DescriptionSports Science: Fully Funded Swansea University and Scarlets Rugby PhD Scholarship: In-Game Statistics Associated with Match Outcome in Professional Rugby UnionThe 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 equipmentRequirementsResearch Field Educational sciences » Other Education Level Bachelor Degree or equivalentSkills/QualificationsCandidates 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 our comparison entry requirements. Please note that you may need to provide evidence of your English Language proficiency.Specific RequirementsExperience 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 .Additional InformationBenefitsThis 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 criteriaCandidates 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 our 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 .Selection processPlease see our website for more information.Website for additional job detailsWork Location(s)Number of offers available 1 Company/Institute Swansea University Country United Kingdom City Swansea Postal Code SA2 8PP GeofieldWhere to apply WebsiteContact CitySwansea WebsiteStreetSingleton Park Postal CodeSA28PP E-Maill.kilduff@swansea.ac.ukSTATUS: EXPIRED

Expected salary

£18622 per year

Location

Rugby, Warwickshire

Job date

Sat, 13 Apr 2024 02:11:08 GMT

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