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behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help of the simulation tool To support in the development and
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The project: We invite applications for a fully funded PhD studentship in the Solid Mechanics Group at the University of Bristol to work on the predictive modeling of hydrogen-induced damage in
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. The Trustworthy Systems Lab at the University of Bristol, in partnership with Toshiba Europe Ltd., invites applications for a fully funded PhD studentship focused on designing trustworthy and deterministic
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and use the results to iteratively refine devices and models. You should have the ambition to publish you work in top ranked international journals and at leading conferences and have a dedication to
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work at international conferences and contribute to high-impact publications. The student will join the Solid Mechanics Research Group at the University of Bristol and benefit from access to the state
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information from high-quality videos that share content with distorted footage as constraints in the learning process of modelling algorithms. This method uses the characteristics and knowledge embedded in high
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of these defects to better understand their development and impact on structural integrity. As a PhD student, you will collaborate with academics from the UNDT group at the University of Bristol and have the