|Funding for:||UK Students, EU Students, International Students|
|Placed On:||25th March 2019|
|Closes:||6th May 2019|
Funding amount: £15,000 maintenance grant per annum
Lead Supervisor name: Professor Tim Rees
This project will establish a clearer understanding of the relationship between player load, injury, and performance in elite football, with the aim of developing a model that extends our current understanding of how load monitoring may be applied to assess adaptation and responses to training demands, and minimise the risk of non-functional over-reaching, injury and illness.
Monitoring athlete load is a current hot topic and an evolving science, and professional sports teams are investing substantial resources on gathering an array of metrics to profile training and competition demands and athlete responses.
We are uniquely placed to examine the load-injury relationship, having developed interdisciplinary practices that combine expertise in athlete development, psychology, performance analysis and physiology, with novel analytical approaches from data science, in order to meet the demand for more complex analytical models that can account for the multidimensional aspects of training load and reflect recently identified factors such as “pattern recognition, neural networks, and machine learning” (1).
With access to large, longitudinal datasets of player load and injury in a Premier League Club, the proposed project is ambitious, innovative and timely, and aims to provide a step-change in understanding within the field by using methods and interdisciplinarity that represent a significant departure from previous investigations in this area.
What does the funded studentship include?
Funded candidates will receive a maintenance grant of £15,000 per annum (unless otherwise specified), to cover their living expenses and have their fees waived for 48 months. In addition, research costs, including field work and conference attendance, will be met.
Funded Studentships are open to both UK/EU and International students unless otherwise specified.
Candidates for funded PhD studentship must demonstrate outstanding qualities and be motivated to complete a PhD in 4 years.
Studentship candidates must demonstrate outstanding academic potential with a 1st class honours degree and/or a Master’s degree with distinction. An IELTS (Academic) score of 6.5 minimum (with a minimum 6 in each component) is essential for candidates for whom English is not their first language.
In addition to satisfying basic entry criteria, BU will look closely at the qualities, skills and background of each candidate and what they can bring to their chosen research project in order to ensure successful and timely completion.
Closing date: The first call for applications will close on 6 May 2019.
For further information on how to apply click the ‘Apply’ button below or email email@example.com
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