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physics through to applications, and the student will develop skills in electromagnetic simulation, nanofabrication within a state-of-the-art cleanroom, experimental optical systems and data analysis
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
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in physics is not possible without acknowledging the crucial role of observations and context in the foundations of quantum theory. If you are interested in deepening our conceptual understanding
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between quantum theory and space-time — using modern methodological approaches from quantum information theory — you are very welcome to apply. Your personal sphere of influence: As a university assistant
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Supervisor: Professor Jason Carroll Course start date: 1st October 2026 Project details For further information about the research group, including their most recent publications, please visit
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The development of electric vertical take-off and landing (eVTOL) vehicles is one of the best solutions for solving transportation problems such as air pollution, road congestion, and long commute
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undertake a mixture of experiment, theory, and numerical simulations in the department of physics at the University of Exeter. The research question is how to effectively shape electromagnetic radiation when
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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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systems theory Excellent analytical and problem-solving skills Desirable criteria Advanced programming and data analysis skills Computational neuroscience background Behavioral data analysis skills Strong
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You will join the EPSRC-funded project “Behavioural Data-Driven Coalitional Control for Buildings”, pioneering distributed, data-driven control methods enabling groups of buildings to form