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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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) 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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, 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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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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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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aerodynamic characteristics associated with the propulsion system integration. This can apply to the aero-engine intake, exhaust, nacelle and main propulsion system. The overall aim of the funded PhD project is
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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
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CFD-FEA Combined Thermal-Fluid-Mechanical Modelling for Defect Control in Additive Manufacturing PhD
manufacturing, specifically focused on directed energy deposition process utilising metal wire as the primary feedstock. Within this exciting realm, through CFD-FEA combined thermal-fluid-mechanical modelling, we