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outcomes of this project include innovative methods for robot learning to improve shared movement quality. The PhD candidate will research movement and choreographic structures applied to human-robot
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) use computer vision/machine learning to quantity athlete performance. Develop new computer vision/machine learning methods to enable measurement of sports performance. Research program would make use
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methodologies, including conference ethnographic and or digital ethnographic approaches (e.g. interview and focus group research, discourse analysis or app walkthrough method) How to apply Apply
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
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current digital performance and co-design exemplars for practice, policy settings and scholarship. Through a qualitative, multi-method approach the research will generate resources for industry, case
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of the biggest issues for the maritime and water industries. The PhD project will focus on developing quantitative methods for managing the risks associated with biofouling control techniques for naval fleets. It
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degraded ecosystems across different habitat types. This is important for establishing the extent to which ecoacoustic methods and metrics are transferrable between places. There is scope within this project
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, hyperspectral imaging provides an opportunity to develop fast and non-invasive methods of detecting plant diseases and potentially discriminating between different disease types (e.g. virus, fungus, bacteria