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Statistics and AI for Engineering and Smart Manufacturing School of Mathematics and Statistics PhD Research Project Competition Funded Students Worldwide Dr Wei Xing Application Deadline
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Using Multivariate Statistical Surrogate Models of Displacement Cascades To Simulate High-dose Irradiation Damage Department of Materials Science and Engineering PhD Research Project Directly Funded
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Statistics and AI for Engineering and Smart Manufacturing
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, three major charities and the Office for National Statistics, and works in close partnership with a large network of partners and leading international research teams. We believe that a diverse and
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datasets, to extract meaningful, statistical information about battery microstructure evolution and degradation. By combining the use of state-of-the-art testing facilities within the Sheffield Tomography
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campaign to promote physical activity or encourage recycling) by evaluating whether behaviour or outcomes following the intervention are statistically different from before the intervention or among a
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learning new statistical and computation tools. No prior knowledge in specific methods is required but it is preferable that the student can demonstrate abilities to learn new computational tools
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statistical analysis of quantitative data Strong communication skills Desirable Experience of conducting eye tracking research Experience of using R for data processing and statistical analysis An interest in
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yield stringent constraints on general new physics models. The PhD project will involve heavily data analysis, statistics, advanced analytical classification methods and possibly machine learning. The PhD
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February 2024 Details We frequently use mathematics in our daily lives, whether it be to make financial decisions, health decisions, or interpret statistics reported by the media. One of the most challenging