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to gain security clearance and limited to UK Nationals only. Research Proposal In this research project you will design, build, and test a new set of ultra-thin, specially structured surfaces, exploring
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machine-learning surrogate models capable of delivering near-DFT (density functional theory) accuracy in just a few CPU seconds per structure. This approach will enable the high-throughput screening of tens
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-structural relationships for the FFA molecules and identify design rules for the most promising molecules that will then be tested experimentally. The student will have the opportunity to work using state
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) are desirable. Background knowledge in one or more of dynamical systems theory, bifurcation theory or delay-differential equations would be advantageous. Interested candidates should email their CV and a personal
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will be augmented with atomistic structure data from electronic structure theory and STEM image simulations. All data will be combined into an automated workflow that predicts thermodynamically stable
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engineering or a relevant area. An MSc degree and/or experience and good knowledge in gas turbine theory, thermodynamics, Machine Learning, and computer programming will be an advantage. Funding Sponsored by