The Development and Application of an Open-Source Badminton-Specific Training Load Metric

Applications are invited for an exciting and innovative three-year, full time PhD studentship in association with the Badminton World Federation. This project will combine wearable technology, biomechanical signal processing, and machine learning techniques to develop and apply an open-source badminton-specific training load metric. Research equipment has been provided by both STATSports and IMeasureU to support this project.

The supervisors will be Dr Stuart McErlain-Naylor (Senior Lecturer; Sports Biomechanics) and Dr Marco Beato (Associate Professor; Strength and Conditioning). The project team will also include Mark Connor (Lecturer; Performance Analysis and Computer Science).

For more information, please see https://www.uos.ac.uk/jobs/phd-studentship or email s.mcerlain-naylor@uos.ac.uk