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  Using Virtual Reality for Racket Sport Training

   Department of Computer Science

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  Dr Christof Lutteroth  No more applications being accepted  Competition Funded PhD Project (UK Students Only)

About the Project

The University of Bath is inviting applications for the following funded PhD project in the Department of Computer Science commencing as soon as possible (and ideally by January 2023 at the latest).

The successful student will be part of the Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA) which performs world-leading multi-disciplinary research in Intelligent Visual and Interactive Technology. Funded by the EPSRC and the University of Bath, CAMERA exists to accelerate the impact of fundamental research being undertaken at the University in the Departments of Computer Science, Health and Psychology.

Supervisory Team:

Lead Supervisor:


Overview of the Research:

Virtual reality (VR) is increasingly used to support training and learning tasks. This project is about designing and evaluating VR systems to help people learn and train racket sport skills, such as for tennis and badminton. In order to achieve this, several VR design challenges will need to be addressed. The project is interdisciplinary, involving psychologists and sports scientists, as well as racket sport coaches and athletes of different skill levels. Similar to our previous work on VR and physical activity (see publications below), we are targeting top-tier conferences and journals to publish the results.

Candidate Requirements:

Applicants should hold, or expect to receive, a First Class or good Upper Second Class Honours degree (or the equivalent). A master’s level qualification would also be advantageous.

Non-UK applicants must meet our English language entry requirement.

Enquiries and Applications:

Informal enquiries are welcomed and should be directed to Dr Christof Lutteroth [Email Address Removed].

Formal applications should be made via the University of Bath’s online application form for a PhD in Computer Science.

More information about applying for a PhD at Bath may be found on our website.

Note: applications may close earlier than the advertised deadline if a suitable candidate is found. We advise you to contact Dr Lutteroth for an informal discussion prior to applying and to submit your formal application as early as possible.

Funding Eligibility:

To be eligible for funding, you must qualify as a Home student. The eligibility criteria for Home fee status are detailed and too complex to be summarised here in full; however, as a general guide, the following applicants will normally qualify subject to meeting residency requirements: UK nationals (living in the UK or EEA/Switzerland), Irish nationals (living in the UK or EEA/Switzerland), those with Indefinite Leave to Remain and EU nationals with pre-settled or settled status in the UK under the EU Settlement Scheme). This is not intended to be an exhaustive list. Additional information may be found on our fee status guidance webpage, on the GOV.UK website and on the UKCISA website.

Equality, Diversity and Inclusion:

We value a diverse research environment and aim to be an inclusive university, where difference is celebrated and respected. We welcome and encourage applications from under-represented groups.

If you have circumstances that you feel we should be aware of that have affected your educational attainment, then please feel free to tell us about it in your application form. The best way to do this is a short paragraph at the end of your personal statement.

Computer Science (8)

Funding Notes

A studentship includes Home tuition fees, a stipend (£16,062 per annum, 2022/23 rate) and research/training expenses (£1,000 per annum) for up to 3 years. Eligibility criteria apply – see Funding Eligibility section above.


Koulouris, J., Jeffery, Z., Best, J., O'Neill, E. & Lutteroth (2020). Me vs. Super(wo)man: Effects of Customization and Identification in a VR Exergame. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, ACM, 16 p.
Michael, A. & Lutteroth, C. (2020). Race Yourselves: A Longitudinal Exploration of Self-Competition Between Past, Present, and Future Performances in a VR Exergame. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, ACM, 17 p.

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