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Field
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conducting a comprehensive literature review on existing knowledge and understanding relating to vacuum arcs, leading the establishment of a mathematic model for metal vapour arcs burning in vacuum background
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without sacrificing data quality, such as 2D NMR Application of chemometrics to increase the amount of information available within a given sample set. How use of AI/ML to further advance steps
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form of energy–e.g. electrical, magnetic, acoustic, or chemical–into mechanical motion. These swimmers are expanding the frontiers of micro-engineering and can be used in tasks such as chemical analysis
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science, engineering, mathematics, or related subject) Proficiency in English (both oral and written) Essential to have strong foundations in computer systems through degree courses or equivalent work experience
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, engineering, physical sciences, economics or any other field where evidence is provided of sufficient computing and mathematical background) solid experience of programming, machine learning methods and ideally
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Applications are invited from PhD studentship candidates with good first degrees in computer science, physics, maths, biology, neuroscience, engineering or other relevant disciplines to join
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student fees. Exceptional candidates may be eligible for an International Fee Bursary. Project overview: The project aims to use state-of-the-art methods to derive detail about the provenance of precious
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or equivalent). The PhD candidate is expected to have keen interest on Quantum Mechanics, Quantum Optics and Electromagnetism and good mathematical skills. The project will take place in
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Electromagnetism and good mathematical skills. The project will take place in the Nanophotonics group of Prof Angela Demetriadou (https://www.birmingham.ac.uk/staff/profiles/physics/demetriadou-angela.aspx ), which
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Honours degree or international equivalent in a subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work