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on the phase shift of vibration of the structure. However, the coupling effect of flow performance and vibration of structure, as the underlying mechanism of CMF operation, is not considered in the CMF
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Natural Language Processing (NLP) in the areas of culturally aware NLP or multilingual conversational NLP, and integration of such methods to support language technology in multiple languages
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computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
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for the next generation of thermal barrier coatings (TBCs) for aero-engines. The PhD Project Advanced TBCs are used in critical aeroengine components (e.g., Ni superalloy turbine blades) to ensure a reliable and
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either of these species is likely to affect its onward behaviour, and data on these processes will support predictive modelling. The PhD student will be a part of the Surrey/AWE Centre of Excellence in
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”, at Brunel University London, who must start by 1st October 2025. BCAST is a speciality research centre in metallurgy with a focus on processing of metallic materials for light weighting applications
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. The processes are energy-intensive, lead to rapid catalyst deactivation, and result in high CO₂ emissions. This project aims to address these challenges by developing electrified non-thermal plasma catalysis
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PhD Studentship: Artificial Intelligence for Building Performance – Optimising Low-Pressure Airtightness Testing Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo
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with Rolls-Royce, will address key challenges for the next generation of thermal barrier coatings (TBCs) for aero-engines. The PhD Project Advanced TBCs are used in critical aeroengine components (e.g
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Award (IDLA). This research aims to investigate natural source zone depletion (NSZD) processes that can naturally remedy oil pollution and use this improved process understanding to enhance CoronaScreen