Rotherham United Football Club and the Carnegie School of Sport Fully Funded PhD Studentship

Rotherham United Football Club and the Carnegie School of Sport are looking to recruit a highly motivated individual to a prestigious PhD studentship with Rotherham United Football Club and Leeds Beckett University

  • Full-time Fully Funded Postgraduate Research Studentship
  • Start date: PhD Start date October 2022 - Club start date August 2022
  • PHD Studentships will be mainly based at Rotherham United Football Club

This is a unique opportunity for an enthusiastic and high-achieving individual looking to undertake a PhD in a vibrant research and professional sporting environment, helping innovate and drive current and future practices with a high level of scientific rigour within senior male professional soccer.

The PhD studentship will have an bursary of £15,609 per annum (pro-rata into 12 monthly payments) plus UK Fees paid initially for a period of three years.


Funding will consist of UK full tuition fees for three years and the award of a living stipend at UK Research Council rates (£15,609 per annum pro-rata into 12 monthly payments). Funding will be subject to satisfactory progress.

A laptop will be provided and the opportunity to apply for funding to support the research project.

Measurement and modelling of modifiable and non-modifiable risk factors for hamstring adaptation and injury in professional football

Hamstring strain injuries (HSI) remain the most prevalent non-contact lower limb injury in professional soccer (Ekstrand et al. 2016) with prevalence greater in matches than training. Given this and the subsequent negative impacts on team and individual performance and its financial implications, practitioners are still seeking for mitigation strategies in the gym and on the pitch (Buckthorpe et al. 2019). 

A number of non-modifiable risk factors have been identified in previous research, primarily increasing age and previous HSI. Although, modifiable risk factors are arguably more important so that mitigation strategies and interventions can be developed to potentially reduce an athletes risk of HSI.  Developing eccentric hamstring strength (Bourne et al. 2018) and fascicle length of the biceps femoris long head (BFlh) (McGrath et al., 2020) and managing high-speed running prescription (Duhig et al. 2016) during training are considered important modifiable risk factors (Buckthorpe et al. 2019). Both under- and over exposures to (close to) maximal speed runs have been reported to be associated with higher HSI risk providing some suggestion of an optimal chronic ‘dose’ that balances performance and injury prevention goals (e.g., frequency of maximal speed exposure [Malone et al. 2017; Colby et al. 2018] and/or monthly cumulative distance [O’Connor et al. 2019]). However, most investigations have analysed running exposure using arbitrary thresholds (e.g., distance within fixed high-speed speed bands) without taking into consideration players’ individual physiological and strength profiles (e.g., MSS) (Mendez-Villanueva et al. 2013). Equally, the independent use of running variables to estimate the likelihood of future HSI and/or hamstring strength adaptation likely has limited clinical value as there are multiple factors (including eccentric strength, fascicle length, aerobic fitness) that mediate this relationship. Recently, McGrath et al. (2020) identified 56 day high-speed running exposure and eccentric hamstring strength to provide the largest contribution to the 50% explained variance in changes in fascicle length of the BFlh in professional rugby league players. Noteworthy, it is also important to consider that HSI prevalence is greater in matches than training (Ekstrand et al., 2001) and so investigating whether differences in the frequency, intensity and duration of physical activities completed by players during matches contributes to HSI is also warranted. Therefore, the aim of the project is to explore the holistic measurement and modelling of modifiable (e.g., eccentric hamstring strength, fascicle length) and non-modifiable risk factors (e.g., age, previous HSI injury) to hamstring adaptation and injury in professional football. 

Desirable Applied Skills

Highly competent using programming languages, ideally R.
Highly competent using data visualisation software, ideally Power BI.
Previous experience using GPS technology to monitor locomotor demands of training and matches, ideally Statsports.
Previous experience using the following hardware/software: ForceDecks, GroinBar, Nordbord, and the ValdHub.
Previous experience using athlete monitoring systems, ideally Smartabase.
A strong interest in football, the ideal candidate will have a sound technical and tactical understanding of the sport (strategies, systems, philosophies, game models).
Sound inter-personal skills in order to develop good relationships with both playing staff and members of the multi-disciplinary team.

To discuss your application and project proposal please contact Dr Stacey Emmonds s.emmonds@leedsbeckett.ac.uk 


 

Beato, M., Drust, B., & Iacono, A. D. (2021). Implementing high-speed running and sprinting training in professional soccer. International journal of sports medicine, 42(04), 295-299.

Buchheit, M. (2019). Managing high-speed running load in professional soccer players: The benefit of high-intensity interval training supplementation. Sport Perform. Sci. Reports, 53, 1-5.

Buchheit, M., Simpson, B. M., Hader, K., & Lacome, M. (2021). Occurrences of near-to-maximal speed-running bouts in elite soccer: insights for training prescription and injury mitigation. Science and Medicine in Football, 5(2), 105-110.

Ekstrand J, Walden M, Hagglund M. Hamstring injuries have increased by 4%  annually in men's professional football, since 2001: a 13-year longitudinal analysis of the UEFA Elite Club injury study. Br J Sports Med. 2016;50(12):731-737. 

Jeffries, A. C., Marcora, S. M., Coutts, A. J., Wallace, L., McCall, A., & Impellizzeri, F. M. (2021). Development of a Revised Conceptual Framework of Physical Training for Use in Research and Practice. Sports Medicine, 1-16.

Lacome, M., Owen, C., Peeters, A., Picione, P., LeMeur Y., Leduc, C. (2020). Force velocity profiling with GPS: is it reliable? Sport Perf Sci Reports. 

Leduc, C, Tee, J, Lacome, M, Weakley, J, Cheradame, J, Ramirez, C, Jones B. (2020). Convergent validity, reliability and sensitivity of a running test to monitor neuromuscular fatigue. Int J Sport Physiol Perform, 8;1-7. doi: 10.1123/ijspp.2019-0319.

Malone, S., Owen, A., Mendes, B., Hughes, B., Collins, K., & Gabbett, T. J. (2018). High-speed running and sprinting as an injury risk factor in soccer: Can well-developed physical qualities reduce the risk?. Journal of science and medicine in sport, 21(3), 257-262.

As part of your application, please provide a CV, cover letter and research proposal. The proposal should align to the above theme and include a brief literature review related to this project, with an outline of the studies that you would propose to the answer the aims of the PhD (maximum 5 pages single spaced).

We can only consider complete applications. The research degree application is complete once you have uploaded all of the following:

  1. Your application form (include the project reference RU1)
  2. Your research proposal, statement of purpose and CV on the Research proposal template
  3. Copies of your bachelors and master certificates, including transcripts
  4. Copy of your IELTS (or equivalent) certificate (if applicable) further information can be found on our Graduate School FAQs
  5. Copy of your passport

Email the documentation above) to researchadmissions@leedsbeckett.ac.uk 

The deadline for applications is midnight on 23rd May 2022

Candidates must be available for interview 15th or 16th June 2022

To discuss your application and project proposal please contact Dr Stacey Emmonds s.emmonds@leedsbeckett.ac.uk 

Who to contact

Carnegie School of Sport

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