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AI-enabled digital technologies for the resilient operation of power systems
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requiring significantly less interactive human feedback than current RLHF methods. To achieve this, the project will focus on extracting more information from uncertain, incorrect, and inconsistent human
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Managers, Engineers and Data Managers. By joining our dynamic team, you will have the opportunity to work with leading experts in the field and contribute to groundbreaking research that directly impacts
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, end-users and other stakeholders in the creative and heritage industries. An analysis of current communications and media content around 3D printing technologies and 3D printed outputs. In particular
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EPSRC Centre for Doctoral Training in Compound Semiconductor Manufacturing EPSRC Centre for Doctoral Training Funding Available Students Worldwide View DetailsEmail EnquiryApply Online
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Robust Synchronisation of Large-scale Dynamic Networks School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Lanlan Su Application Deadline: Applications accepted all
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Next generation additive manufacturing (3D printing) using semiconductor laser arrays for ultimate control of part properties School of Electrical and Electronic Engineering PhD Research Project
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Optimal Control of Next Generation Aircraft School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Yuanbo Nie Application Deadline: Applications accepted all year round
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Efficient and Reliable Numerical Solution of Dynamic Optimization School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Yuanbo Nie Application Deadline: Applications
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Advanced Systems-Modelling and Optimisation in Materials Science and Engineering School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Mahdi Mahfouf Application