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platforms. Existing digital human models are limited, often focusing only on basic ergonomic analysis and lacking in cognitive behaviour representation. The primary goal of this project is to develop a novel
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, Rest of world Reference numberSWEE0248 Entry requirements An ideal candidate for this position will have a first or second class UK honors and Masters degree in Natural Resource Management, Anthropology
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as Third Wave AI as initially described by DARPA) is the term that references the next foreseen advances within Artificial Intelligence. This stems from the two main styles of AI development over
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years. In total the award will fund up to 18 full time PhD Scholarships, including three scholarships for international applicants, 12 home (UK) PhD scholarships, and three Master's plus PhD scholarships
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) in the context of sustainable, resource-efficient manufacturing. To meet these objectives, the main research strategies are: To enhance operations efficiency (smart) by researching the topics
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connectivity and flight dynamics, incorporating Artificial Intelligence (AI) and Machine Learning (ML) to develop innovative prediction mechanisms. The primary goal of this project is to design advanced
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be on flow distortion. The main impact of the work will be through Rolls-Royce where it will enable improvements to the measurement capability for intake flow distortion. During the course of the
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and effective framework development. The main outcomes encompass feedback and reflection on the ontology performance, scalability, reusability and enhanced FAIR evaluation. Cranfield University is
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controls to the manufacturing procedure and environment, joint design, inclusion of some surface modification and control of the adhesive cure cycle. The primary aim of this project is to assess
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, and reliable operation in diverse environments. This involves two main goals: 1) Optimisation of the Battery Management System (BMS): The aim is to implement an accurate BMS that effectively monitors