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techniques, to support predictive, process and product engineering. Modelling tools to be used will vary according to the application but are likely to including process simulation using Population Balance
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for research’ lifecycle. You will collaborate with our team of Data Scientists and Data Managers to develop secure data pipelines, process and curate research datasets, maintain and refresh the data assets. You
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Electroweak measurements with the ATLAS Experiment. School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr K Lohwasser, Dr C Anastopoulos Application Deadline
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to exploit approximate or computational solutions; however, this can be unsatisfactory in that it lacks in valuable physical insight. This insight is often crucial in changing partial mathematical solutions
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fixed-term 301 Tutors Ensure the core Academic Skills programme is cognisant of and responsive to the needs of international students Provide guidance to staff as part of the Elevate staff development
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High-speed astrophysics with ULTRACAM and HiPERCAM School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof V Dhillon, Dr S Littlefair Application Deadline: 31 May 2025
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years. Education A strong 4-year degree or MSc degree in Mechanical, Aeronautical, Civil, Chemical Engineering, Applied Mathematics or Physics. Knowledge, skills Fluid mechanics; desirable: wall-bounded
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Development of new Gaussian basis sets for the lanthanides School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr JG Hill Application Deadline: Applications accepted all
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of the users (humans) and the physical and technological world. Both people and the physical world interact through networks, social and technological (e.g. the power grid). As our knowledge in science, society
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driven approach. Then, the unique data and system science approach proposed at Sheffield and a machine learning method can be applied to extract and analyse the physically interpretable features