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easier to detect and measured experimentally. However, it is not well known yet how this process emerges and how one can control it. This PhD project will focus on developing the necessary theoretical
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pathways, whilst their omission can introduce significant systematic biases in parameter estimation, detection pipelines, and tests of fundamental physics. In this PhD project, you will develop a
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problem is global in scope, affecting both developed and developing nations, and demands innovative, scalable solutions. This PhD project aims to revolutionize corrosion prediction by integrating physics
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al., 2014). These structures determine the conditions in which their offspring develop and, therefore, are fundamental to breeding outcomes. Although plastics have been incorporated into the nests
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generate embodied emissions. Post-retrofit emissions depend on energy system transitions (e.g., grid decarbonisation, and socio-economic factors including population growth and housing evolution (Mastrucci
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, the project will develop algorithms for ecological sensing, adaptive motion planning, and energy optimisation under real-world constraints. Scaled experiments and high-fidelity simulations will validate system
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(preferably with first class honours or equivalent) and we expect the PhD candidate to develop the expertise required to lead an experimental research project, to train students, to interact with colleagues
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engineering or physics (preferably with first class honours or equivalent) and we expect the PhD candidate to develop the expertise required to lead an experimental research project, to train students
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seasonal-to-subseasonal forecasting ensemble in modelling and forecasting these processes. As datasets develop, there may also be opportunities to assess simulation skill of AI forecasts. For further
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modelling of compound hazards by integrating human influence data (such as water abstraction, reservoir capacity, urbanization, population density) into a pre-developed foundational AI model - quantify and