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This self-funded PhD opportunity explores assured multi-sensor localisation in 6G terrestrial and non-terrestrial networks (TN–NTN), combining GNSS positioning, inertial systems, and vision-based
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filled. This fully funded PhD explores AI-native and sensing-aware wireless systems where communications and sensing are co-designed end-to-end. You will unify modern machine learning, statistical signal
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, artificial neural networks and bio-inspired robotics: "Rhythmic-reactive regulation for robotic locomotion" (Supervisor: Prof Fulvio Forni) will apply techniques from nonlinear control and optimisation
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engineering, computational neuroscience, artificial neural networks and bio-inspired robotics: "Rhythmic-reactive regulation for robotic locomotion" (Supervisor: Prof Fulvio Forni) will apply techniques from
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Thermoacoustics of net-zero swirl stabilised premixed hydrogen combustors Award Summary 100% fees covered for Home students, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI
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for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will become living examples of a highly skilled workforce delivering an equitable energy transition so
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train the next-generation of doctoral carbon champions who are renowned for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will become living
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or Stata (or similar packages) would be an advantage, although training will be provided. Strong written and verbal communication skills are essential. The project is based in the Net Positive Centre’s hub
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of heat transfer in complex materials. Collaboration with industrial partners and communication of safety-critical research. This multidisciplinary skillset will prepare the candidate for impactful careers
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. Assess ecological change by applying shotgun metagenomics and amplicon sequencing to track microbial community shifts under persistent wet skimming. Translate lessons learned into engineering design rules