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mechanisms involved in wear of rubber materials Investigate the generation and dispersion of particulate matter in the tyre-road interaction Describe and characterise particle morphology as a function of usage
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computing? Do you enjoy studying complex quantum mechanical systems both from a physical and a mathematical perspective? Are you an innovative and productive team player who enjoys being part of
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of compact robot models. The challenge is building capable robot intelligence with limited real robot data and compute. Interaction data is costly and slow to collect, while deployment requires real-time
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PhD Studentship: Efficient Long-Horizon Task Execution in Physical AI (deep learning, computer vision, robotics) Number of awards: 1 Award information: Fully funded PhD studentship covering Home
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interact with our environment. Over long timescales, the subsurface plays an increasingly important role in the transport and fate of radionuclides and chemotoxic contaminants, whether at legacy operational
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catalysis. Computational chemistry allows the design and discovery of new molecules and theoretical understanding. This is especially important when studying the behaviour of sensitive chemicals, like
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mathematics. You will undertake a single, ambitious research project: to begin the formalisation of the local Langlands correspondence for GL₂(F) in the Lean interactive theorem prover by leveraging AI agents
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, speech, gaze, affective dynamics and interaction patterns. This PhD project will develop personalised AI models for computational mental health by simulating the latent cognitive processes underlying
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international equivalent, in computer science, artificial intelligence, data science, human-computer interaction, psychology, organisational psychology, business analytics or a closely related subject. A relevant
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investigations and geochemical modelling. Specifically, you will: Characterise variability in mineralogical and petrophysical properties resulting from fluid–rock interactions under representative reservoir