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experience in a range of industrially relevant computational engineering techniques. You will develop expertise in high-order finite element methods, mesh adaptation techniques, advanced parallel programming
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voting platforms to public consultation tools, these platforms must not only serve communities effectively but also withstand rapidly evolving security threats. The impending transition to a post-quantum
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. The following skills are highly desirable but not essential: Ability to program in Matlab/Python Experience with Finite Element Analysis and Reduce Order Modelling Experience in Rapid Prototyping and CAD Design
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Mathematics, Applied Mechanics, or related disciplines (a minimum honours degree at UK first or upper second-class level) Experience in computational fluid dynamic/finite element modelling by using commercial
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(conductivity, heat capacity, flame resistance). Advanced finite element modelling will then correlate microstructural features to heat-transfer performance. The candidate will design and build a burner-rig test
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meeting these needs, this PhD project will involve the research and development of new computational technologies, based on the boundary element and finite element methods, in a high-performance computing
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quantification. The interrelation of these three topic areas is increasingly important for future lightweight and sustainable composite structures. The ideal PhD candidate will enjoy working on finite-element
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partners and test centres. Physical testing, such as controlled spin-burst experiments, will complement advanced finite element analysis (FEA) in evaluating failure behaviour. Who we are looking
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Discipline: Engineering & Technology, Materials Science, Mechanical Engineering Qualification: Doctor of Philosophy in Engineering (PhD) This project is a collaborative research effort between
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fields, and risk damaging the part during fabrication. Finite element analysis (FEA) models, while capable of delivering detailed spatiotemporal distributions of thermal variables, suffer from limited