Effects of Strength and Conditioning on Golf Swing Biomechanics and Injury Risk Markers in Golfers (HHS-2026-22)

About the project

About the Project This PhD project investigates the effectiveness of strength and conditioning (S&C) programmes in enhancing golf swing biomechanics and reducing injury risk in golfers. In the current landscape, delivery of coaching and physical preparation has become increasingly prevalent. However, there remains limited empirical evidence evaluating its impact on both performance and injury prevention. This project aims to address that gap by integrating sport science, biomechanics, and digital health to assess whether structured remote interventions can produce meaningful adaptations. Golf performance is underpinned by complex kinematic and kinetic factors, including efficient sequencing and force production. Simultaneously, golfers are exposed to repetitive loading patterns that elevate the risk of overuse injuries, including the lumbar spine, shoulders, and wrists. While traditional S&C programmes are known to improve physical qualities, it is unclear whether these benefits translate into biomechanical proficiency and reduced injury risk when delivered. This project aims to determine whether S&C can improve movement efficiency, reduce injury risk markers, and support athlete development. Findings will provide scalable, evidence-based solutions for coaches and governing bodies, with direct implications for youth sport policy, performance optimisation, and long-term athlete health. The successful applicant will join an interdisciplinary research environment that combines applied sport science, biomechanics, and digital innovation, offering opportunities to develop expertise in motion analysis, athlete monitoring, and intervention design. The project will suit a motivated candidate with an interest in athletic development, injury prevention, and performance enhancement within applied sporting contexts. Experience or enthusiasm for biomechanics, strength and conditioning, data analysis, or golf performance would be advantageous. By working closely with coaches, athletes, and practitioners, the candidate will gain valuable academic and applied research experience, positioning them for careers in sport science, high-performance sport, healthcare, or academia. For subject specific enquiries please contact: j.shaw4@hud.ac.uk We encourage you to discuss your ideas with potential supervisors in advance of application. Type of Award: Doctor of Philosophy (PhD) Eligibility: These scholarships are open to UK applicants only ; ideally with an MSc in a relevant subject area, applicants with a First-Class Honours degree may also be considered. Location: Huddersfield/Online Funding: Fee waiver Duration: 3 years full-time / 6 years part-time Application Details To apply please submit the documents listed below to pgrscholarships@hud.ac.uk in full by Friday 30 th October 2026 , including the following documents: A motivational email as to why you wish to apply for the scholarship, stating which project you are applying for. A 2,000-word research proposal outlining how you plan to undertake for the research topic you are applying for. For further guidance on writing a research proposal, please refer to the following webpage: https://www.hud.ac.uk/postgraduate/research/writing-a-research-proposal/ Full CV Provide copies of transcripts and certificates of all relevant academic and/or any professional qualifications. Provide references from two individuals – (at least one to be an academic reference) please contact your referees and ask them to send your references directly to pgrscholarships@hud.ac.uk from their work email address. (references can be submitted late but must be received by Friday 6 th November 2026). Proof of eligibility – e.g. scan of passport photo page Please state the research topic number and title in the subject area of the email Please email pgrscholarships@hud.ac.uk with queries regarding eligibility and submitting documents. Informal enquiries about individual projects should be directed to the lead supervisor listed for each project.

Research areas