38 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Adelphi-University" PhD positions at Cranfield University
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A funded PhD studentship is available within the Autonomous and Cyber Physical Systems Centre at Cranfield University, Bedfordshire, UK. As aerospace platforms go through their service life, gradual
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deployment in applications. This project aims to develop a physics-based, self-learning BMS tailored specifically for Li-S batteries. The research will combine physics-driven models with machine-learning
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opportunities to work with WAMC’s industrial partners, such as WAAM3D ( https://waam3d.com/ ) and members of WAAMMat ( https://waammat.com/ ), gaining valuable industry experience and exposure. The
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community at WAMC, fostering collaboration and innovation. Additionally, there will be opportunities to work with WAMC’s industrial partners, such as WAAM3D ( https://waam3d.com/ ) and members of WAAMMat
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protection system design and optimisation in collaboration with EPSRC, AeroTex UK LLP and Cranfield University. This PhD project lies within the discipline of atmospheric icing science, specifically at the
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Applications are invited for a funded PhD studentship through the NERC-funded CENTA Doctoral Training Partnership and Cranfield University. The award will cover UK tuition fees, provide a tax-free
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This is a fully funded PhD (fees and bursary) in propulsion system aerodynamics in collaboration with EPSRC, Rolls-Royce and Cranfield University. The measurement and evaluation of intake flow fields
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This fully-funded PhD studentship, sponsored by the EPSRC Doctoral Landscape Awards (DLA), Cranfield University and Spirent Communications, offers a bursary of £24,000 per annum, covering full
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with emphasis on innovation and impact, collaborative working and learning, continuous development, active engagement with partners and stakeholders and inclusion of student-led activities. You will
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diagnosis and prognosis technologies, and, consequently, improve maintenance decision making. Currently, machine learning exists as the most promising technologies of big data analytics in industrial