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processing, data analysis, data-driven modelling, optimisation and computation algorithms, machine learning models and neural network structures, as well as strong skills and experiences in computational
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electromagnetic design. We will explore advanced topologies for mmwave metasurfaces, design novel reconfiguration mechanisms, and develop intelligent algorithms to optimize scattering characteristics in real-time
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Computational Astrochemistry/Algorithm development for Quantum Dynamics Calculations School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application
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can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd Applicants can apply for a Scholarship from the University of Sheffield but should note that competition
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at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd Applicants can apply for a Scholarship from the University of Sheffield but should note that competition for these Scholarships is
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information extraction. Advanced algorithms will be developed to obtain useful information such as the 3D flame topology and spread velocity. The candidate should have a good background in mathematics and they
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optimise the algorithms for optimal process control. The research will benefit from the available experimental facilities including laboratory-scale digesters, excellent analytical facilities, expertise in