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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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track and classify them. This also helps to observe different angular realisations of the multipath and clutter and to measure multiple angular-dependent target Doppler contributions, decreasing
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recovery. Through real-world testing and industry-aligned development cycles, students gain practical experience in resilience modelling, embedded AI diagnostics, and autonomous recovery protocols
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that can be validated with experiments and bottom-up models at multiple scales in order to predict the macroscopic response. Hence, this research will investigate the degradation of metallic materials under
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Research Duration of awardOne year full-time, two-three years part-time EligibilityUK, EU, Rest of world Supervisor These will be aligned specifically to your proposed research topic and specialisms
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reusable launchers, autonomous robotics, and advanced materials could redefine how we design space structures. The ability to remotely assemble orbital systems from multiple launcher payloads would allow
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deadlineOngoing Award type(s)MSc by Research Duration of awardOne year full-time, two-three years part-time EligibilityUK, EU, Rest of world Supervisor These will be aligned specifically to your proposed research