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Infrastructure? No Offer Description Application(s) are invited from suitably qualified candidates for full-time funded PhD scholarship(s) starting in September 2026 affiliated to the School of Engineering
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that candidates possess expertise in some (but not all, or even most) of the following areas: Applied mathematics, control engineering, and numerical optimisation Machine learning and/or data science Computer
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This PhD studentship, based at the University of Exeter's Penryn Campus (Cornwall), offers an opportunity to conduct research at the intersection of wind energy, power systems, and advanced control
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supervisors. A wide variety of PhD projects is available; example project areas are: Human-machine teaming AI agents for air traffic control Weak signal analysis for air traffic control room situational
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membranes using our recently developed humidity-controlled terahertz time-domain spectroscopy [1-3]. The PhD candidate will then push the boundaries by further developing and optimising the technique
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controlled. The project will be carried out in collaboration with the Norwegian University of Science and Technology (NTNU) and with a leading aluminium producer, providing opportunities for international
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This PhD offers a unique opportunity to work at the intersection of formal methods, control engineering, and cybersecurity within the high-stakes environment of aerospace propulsion. You will be a
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and AI Infrastructure priorities, this PhD project pioneers fundamental technologies of Solid-State Transformers to enable highly efficient, reliable, and bi-directional energy flow control. You will
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into actively morphing and efficient structures? Applications are invited for a 3.5-year UK PhD studentship for the project "Design, Experimental Investigation, Aeroelasticity Modelling and Control of an Aircraft
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; Mechatronics; Agricultural Engineering; Mechanical Engineering; Electrical/Electronic Engineering; Computer Science; Control Engineering, or a related discipline Desirable: • Programming in Python or C