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parameters can be measured, such as thermal conductivity, density, specific heat, and dynamic viscosity. For the measurement of gas flows, (micromachined) thermal flow sensors are often used because
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highly efficient operation. TBCs are crucial to ensure the safe and high-performance operation of such critical parts under extreme temperatures and pressures; however, external contaminants (e.g. Calcium
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through their investor conference a co-investment from the College of Science and Engineering. This funding provides a unique opportunity to advance innovative medical device research and support four high
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Laboratory), and will provide experience with new and advanced 3D-printing equipment not available elsewhere. This project is aligned with the “Dialling up Performance for on Demand Manufacturing” Programme
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diagnostic capabilities. The skills and knowledge gained will be transferable to other applications requiring high-performance radiation detection and advanced material interfaces. Through
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thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute
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., Ni superalloy turbine blades) to ensure a reliable and highly efficient operation. TBCs are crucial to ensure the safe and high-performance operation of such critical parts under extreme temperatures
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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’. Warwick University is renowned for its high-quality research and a thriving PhD program. This strong research culture enhances both the PhD student’s experience and the demand for our graduates. This PhD
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine