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Field
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) dynamically manage renewable energy technologies outputs and discovery & optimize new designs of future zero-carbon multi-energy systems. This PhD project will cooperate with national and international projects
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students for fully-funded PhD studentships to carry out multidisciplinary research in the world-transforming field of Artificial Intelligence, commencing 1st October 2024. The studentships will have a
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the world-transforming field of Artificial Intelligence, commencing 1st October 2024. The studentships will have a duration of 48 months, with an annual stipend at the UKRI rate (currently £19,237
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structures. The PhD student will be hosted at the Artificial Intelligence Research Centre (CitAI) and work in collaboration with colleagues at the Department of Psychology. The project will examine how
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Applications are invited for two PhD positions in “Probabilistic Artificial Intelligence” at the Department of Statistics, University of Warwick. The successful applicants will be part of the ProbAI
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PhD Studentship in Marine Technology: Development of an Artificial Intelligence Model to Assess Nonlinear Multibody Structural Response of Container Stacks Award Summary 100% fees covered for all
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. Artificial Intelligence can be used to mitigate this compromise. The project compromises three steps: Implementation of a numerical transient nonlinear model to predict the stack behaviour in a multi-stack
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project would focus on investigating the use of artificial intelligence (AI)-driven inverse modelling to iteratively fine-tune laser parameters (e.g., power, focus, speed) and material properties (e.g
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trial-and-error, leading to suboptimal welding quality and increased production cost/time. This project would focus on investigating the use of artificial intelligence (AI)-driven inverse modelling
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, however these remain largely uncharacterised. Aim By using phonon microscopy and artificial intelligence, you will have the opportunity to demonstrate the existence, relevancy and applicability