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Applications are invited for a Postdoctoral Research Associate/Fellow to work in the field of numerical simulation of multiphase flows under the supervision of Dr Mirco Magnini in the Faculty
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Based in the Faculty of Engineering at the University of Nottingham, this role will focus on electromagnetic design, modelling and validation of microwave heating technologies for the BioIron™ project—a groundbreaking collaboration with Rio Tinto to decarbonise the iron and steel-making...
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Applications are invited for a postdoctoral research position at the University of Nottingham, to work on simulations of galaxy clusters with Dr. Yannick Bahé. This position is part of a UKRI funded
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hour), fixed-term post is available from 1 September 2025 to 30 November 2026. Job share arrangements may be considered. If you are interested about this post, please click 'apply now' and upload a copy
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analysing the outputs of hydrodynamical simulations of clusters of galaxies to trace the build-up of mass through the cosmic network as clusters grow by mergers or smooth accretion of matter along filaments
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focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational
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friction welds. Work here includes the characterization of production machines using additional instrumentation, the simulation of the process using several numerical methods, and the development
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the group and consider how they may contribute. The following are active areas of research in MAS for Thermofluids and Materials: Failure and degradation process simulation for transmission components and
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-economic assessment and life cycle analysis methodologies. • Proficiency with modelling and simulation software relevant to TEA and LCA. • High analytical ability to analyse and illuminate data
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-economic analysis and life cycle assessment methodologies. • Proficiency with modelling and simulation software relevant to TEA and LCA. • High analytical ability to analyse and illuminate data