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to architectural design, human-building interaction, digitally-driven adaptive architecture, personal data, mental health and wellbeing, and theories of embodiment. What is the funding for: full fees and a monthly
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how learning from demonstration can be combined with data-driven analysis of trajectory data to capture the spectrum between expert and novice behaviours. Traditional approaches often rely on predefined
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-edge adaptive mesh refinement techniques; a lightweight prediction tool developed upon the simulation data to predict key thermofluidic parameters for the design of high heat flux cooling components
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biocatalysis, process development, and quantitative analysis. Who we are looking for We are looking for a motivated and curious researcher who enjoys hands-on experimental work and is interested in developing a
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, enzyme analysis, and chemical characterisation, as well as opportunities for industrial engagement and career development. Who we are looking for We welcome applications from enthusiastic candidates with a
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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to existing remediation strategies You will receive extensive training across protein biochemistry, enzyme analysis, and chemical characterisation, as well as opportunities for industrial engagement and career
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collaboration with BP. Vision We are seeking PhD student that is motivated to develop practical rapid analysis tools for BPs biomass liquefaction processes. We are looking for candidates with an interest in
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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to develop a comprehensive modelling and analysis approach for hydrogen systems, such as electrolysers and their BoP systems, in meeting some of the below challenges in: advanced diagnostics and prognostics