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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
placement with Rolls-Royce. The research focuses on AI-driven digital twins, using large language models and knowledge graphs for predictive maintenance in aerospace systems. Aerospace systems generate vast
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language, you'll need an IELTS score of 6.5 or equivalent with no individual element below 5.5. How to apply: Applicants must register on SGSSS Apply, completing their Equal Opportunities data. Applicants
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The project: The deployment of generative AI—particularly Large Language Models (LLMs) based on transformer architectures—in industrial settings poses several critical challenges. Ensuring reliable
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The LivePerson Centre for Speech and Language offers a 3 year fully funded PhD studentship to explore novel and innovative learning methods for construction of speech processing models. Domain
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an increasingly complex development environment. Areas to consider that impact the modelling are: Framework Language Process How wide / how deep i.e. what do we model and why? How much provides a good answer i.e
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above for further details). In addition, candidates for whom English is a second language should meet the University’s minimum English-language requirements. If you have not already studied a degree
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the university for a Politics PhD (i.e., 2:1 honours degree and a master's degree, or international equivalent, in politics or a related subject.) Applicants whose first language is not English require an IELTS
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an opportunity to network and get feedback on their work. Student profile: Some experience in data analysis would be very helpful, as would a working familiarity with a programming language (e.g. Python, R
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be considered. In this case, the difference in home and international fees must be covered. Applicants whose first language is not English require an IELTS score of 6.5 overall with a minimum of 5.5 in
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for the Science of Early Years and Youth at UEL A funded PhD position is available to work on a project exploring the impact of indoor and outdoor learning environments on children’s language and communication, and