39 power-system "https:" "https:" "https:" "UCL" PhD positions at Cranfield University
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chip architectures, including neuromorphic and domain-specific accelerators (e.g., TPUs, NPUs, FPGAs), for low-power and real-time AI processing. 2- Reconfigurable AI-Embedded Systems: Develop adaptive
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of WAAMMat (https://waammat.com/ ), gaining valuable industry experience and exposure. The student is expected to acquire the following (including but not limited to) knowledge and skills from the research in
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Drones represent a key challenge for modern radar systems. They are very difficult to detect due to their small size, low flight profile and slow speed. This project investigates how to improve
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industrial partners, such as WAAM3D (https://waam3d.com/ ) and members of WAAMMat (https://waammat.com/ ), gaining valuable industry experience and exposure. The student is expected to acquire the following
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of big data might not be possible to be captured by traditional modelling approaches. This implies that mathematical modelling of such data is infeasible. The data-driven modelling approach could resolve
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. Thus, organisations need intelligent systems that can help them anticipate disruption, coordinate responses, and recover faster, while balancing cost, service, and sustainability goals. The rise
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This is a self-funded PhD position to work with Dr Adnan Syed in the Surface Engineering and Precision Centre. The PhD project will focus studying high temperature corrosion mechanisms in details
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decarbonisation efforts, shaping your future as a skilled innovator and inclusive leader in sustainable aviation technologies. Liquid hydrogen powered aircraft offer an important pathway to helping decarbonise
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
difficult to detect using conventional techniques. Traditional NDE methods are often slow, manual, and limited in their ability to quantify or localize internal damage accurately. With the growing demand
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image correlation is an effective tool to characterize material properties. The analysis of the images can provide a fair assessment about the changes in material behaviour under different operational