687 embedded-system "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" PhD positions in United Kingdom
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UK students only This 3.5-year PhD project is fully funded and home students, and EU students with settled status, are eligible to apply. The successful candidate will receive an annual tax-free
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for airBORNe applications” project (https://newborn-project.eu/) and develop a real-time Multiphysics Digital Twin for such a system accelerating future electric propulsion system development. Motivation
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Funding for: UK Students Funding amount: Funding will cover tuition fees for UK students (at the Home rate), a stipend at the UKRI rate , and a consumables budget. This is a 3.5-year PhD
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Application deadline: 30/05/2026 How to apply: https://uom.link/pgr-apply-2425 This 4-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an annual tax-free
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Remanufacturing plays a vital role in enabling sustainable and circular production systems by recovering value from end-of-use products and components. A key operational stage within remanufacturing
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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. Further improvements in the aerodynamics and design
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The increasing prevalence of autonomous systems in dynamic, human-centred environments, such as smart transportation networks and distributed IoT infrastructures, demands decision-making frameworks
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Decision support systems assist decision makers in instances when information available for decision making is vast and beyond human information processing capabilities. The Video Assistant Referee
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Application deadline: All year round Research theme: Multiphase Flows, Experimental Fluid Dynamics, Bubbles, Droplets, Sustainable Energy UK only This 3.5-year project is funded by the Department
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, embedded intelligence, and adaptive cyber-physical systems that operate safely under uncertainty and dynamic conditions. This PhD at Cranfield University explores the development of resilient, AI-enabled