418 data-"https:"-"https:"-"https:"-"https:"-"University-of-Aberdeen" PhD positions in United Kingdom
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Field
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tasks involve the detection, discrimination, and interpretation of coloured signal lights and information presented on modern digital cab displays. The project will combine visual task analysis, spectral
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approach towards artificial intelligence that uses the natural dynamic behaviour of physical systems (such as light and electronics) to process information efficiently. You will work at the intersection
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ignition products, with future opportunities expected in data storage devices and electrical contacts to supply the demand for higher computational power for AI driven technologies. However, the limited
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mechanistic interpretability — concept extraction, causal tracing, activation patching — together with geometric and information-theoretic methods to understand the representational basis of compositional
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on the study of the digital traces we left behind to capture human behaviour and social dynamics through the lens of Network Science, Complexity Theory, and Data Science. The team is made up of researchers in
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from the group’s expertise in advanced modelling, synchrotron data processing, and AI. Moreover, our group has established an extensive international collaboration network, including partners such as
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electrical engineering and data science. The role is for the third intake of the EnerHy programme which commences in October 2026. Research project overview: This role offers an exceptional opportunity for a
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mechanistic, dietary and clinical analyses embedded within a double‑blind randomised controlled trial of tirzepatide. Project Description You will analyse Intake24 dietary recall data collected during the trial
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DCMS will provide a distinctive foundation for the project. DCMS has committed to supporting the development of the research through access to relevant data, engagement with policy perspectives, and
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Research area and project description: AI data centres are digital engines, yet ~30% of energy is wasted as heat in power conversion and distribution. Directly addressing the UK’s Clean Power 2030