The University of Stirling, in partnership with AquaticsGB, have recently installed an integrated multi-camera analysis system to support the elite swimming programme at Scotland’s University for Sporting Excellence. Alongside this installation, we are seeking to recruit an ambitious research student to undertake applied research studies involving the University of Stirling elite swimming group and AquaticsGB World Class programme swimmers.
Aim
The overall aim of the project is to provide the University of Stirling and AquaticsGB coaches, staff and swimmers with an increased understanding on the interaction of multiple datasets on swimming performance. This will be achieved through an approach of biomechanical analysis of swimmers, utilising the newly installed camera system and data science approaches to create a greater understanding of the importance of performance datasets that are collected longitudinally and the interaction between them.
Additionally, through understanding this interaction, the appointee will assist the performance decision making process with the high-performance swimming staff and athletes. This research will have a biomechanics, data science and inter-disciplinary approach drawing on other scientific disciplines where required.
Further Details
The studentship would be hybrid model of working as part of the interdisciplinary team, alongside their research. Data collection will primarily take place at the University of Stirling with opportunities for data collection at other high-performance centres. Opportunities for national and international travel are also possible to support the swimmers at competition.
For enquiries about this opportunity, please contact Professor Kevin Swingler.
