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Field
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candidate will lead a key project implementing the REPRESENT recommendations, which aim to build long-term trusting relationships with communities and improve the representation of minoritized groups in
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constraints and product development considerations. This experience will empower graduates to become innovators, equipped to collaboratively lead and decisively shape the dynamic field of sustainable aviation
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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in radiation–matter interactions, computational modelling, and materials science, with a strong publication record (h-index 36, i10-index 69). Dr Francesco Fanicchia, Research Area Lead: Material
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modelling of laser shock peening. Molecular Dynamics (MD) and Finite Element (FE) simulations will be combined to account for the complex physical phenomena and their different scales. The interdependence
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by the Ada Lovelace Centre and the University of Birmingham. This interdisciplinary project is ideal for candidates with a background in physics, materials science, chemistry, or computational science
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of the particle fuel, crack initiation/propagation and failure mechanisms in relation to test temperature. Finite element (FE) modelling using FE tools such as Abaqus, (or) Ansys, (or) COMSOL is optional
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Computational verification of high-speed multi-material flows, where physical experimentation is highly limited, is seen as critical by the Defence Sector (source: the UK Atomic Weapons
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enhance system reliability and safety, aligning with the UK’s NetZero targets. Aim You will have the opportunity to build a high-fidelity process simulation and perform experimental validation to assess
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. Aim You will have the opportunity to build a high-fidelity process simulation and perform experimental validation to assess the structural performance of composite sleeves under operational conditions