Sportscotland (the national agency for sport) has recently delivered an innovative Artificial Intelligence (AI) camera system at the Chris Hoy Velodrome in the Emirates Arena for Scottish Cycling. Through this innovation, sportscotland and Scottish Cycling aim to address key coaching and service support questions through related applied research involving AI data analysis, measurement, visualisation, and data interpretation processes.
This 3-year full-time PhD studentship offers a fantastic opportunity in cutting-edge, multidisciplinary research in collaboration with the University of Strathclyde, sportscotland, and Scottish Cycling.
Objectives
* Answer and address key coaching and service support questions through AI data analysis, measurement, visualisation, and data interpretation processes.
* Provide daily training environment and competition-based AI camera system measurement of prioritised sportscotland / Scottish Cycling athletes’ performance impacting performance preparations for key national and international events.
* Provide analysis, interpretation, and feedback emerging from AI measurement to sportscotland / Scottish Cycling athletes, coaches, service providers, and managers on a timely basis.
* Produce several conference and peer-reviewed academic outputs approved by Scottish Cycling and sportscotland’s Innovation and Special Project Management Group prior to presentation and/or publication.
* Deliver Data Management Services managed by sportscotland’s Data Manager up to a 50% working week.
Further Information
Important Notice: the successful applicant will be transferred to the new programme titled PhD in Sport Data Analytics, subject to senate approval.
Eligibility
You should hold a 1 or 2.1 degree at undergraduate level in a relevant discipline from a recognised academic institution. Ideally, your degree will be in Sports Science, Computer Science, Mathematics & Statistics, or related disciplines.
You should be highly motivated to undertake cutting-edge multidisciplinary research in this field and engage with a wide variety of stakeholders.
Desirable Attributes
* Ability to communicate complex information clearly and appropriately to athletes, coaches, and colleagues.
* Ability to understand the needs of athletes and coaches by actively listening.
* Willingness to work closely with a multidisciplinary team (coaches, medical staff, and other support services).
* Ability to empathise with the physical and mental challenges athletes face.
* Ability to recognise when an athlete or colleague is under stress or strain and respond appropriately.
* Understanding of governing sporting bodies and high-performance sport pathways.
The successful candidate must be able to commence PhD study no later than 1 April 2025.
Funding
The studentship is fully funded and covers Home Fees and provides a stipend in line with UKRI guidance to cover living expenses. The stipend for the 2024/25 academic year is £1,603 per calendar month (tax-free).
Please note that the studentship covers Home/UK fees only. While non-UK applicants can apply, you need to specify in your documentation how you will fund the difference between the home UK and international fee rates.
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