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Location: South Kensington About the role: The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple
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The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory
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the field of intelligent systems and AI-integrated electronics. Aiming to create sustainable electronic systems, this research will develop energy-aware computing solutions that optimize power consumption and
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sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
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In this project, different optimal control problems will be considered under a contagious financial and insurance market with regime switching and risk uncertainty. In the first chapter, an optimal
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elevation change gathered from repeat drone surveys, this ground-breaking research will identify the factors key to ensuring optimal, rapid, and successful restoration. By working in partnership with Welsh
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the difference between the International fee and the Home/RoI fee. There will be a package of support to enable you to develop a research career in this exciting field. The Royal Berkshire Hospital has 20 surgical
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 21 days ago
Mathematical Modelling of kinetic and thermodynamic performance of material to optimize the production process. The research has significant real world impact. It is expected to deliver a step change in
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, scalability, and adaptability to various applications such as autonomous systems, IoT devices, and wearable technologies. Research Focus Areas: 1- Neuromorphic and AI-Optimized Processors: Design AI-specific
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reliability and operational efficiency. Determining the optimal size and location of PSTs within a network is inherently complex due to the nonlinear and dynamic nature of power systems, necessitating the use