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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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Research theme: "Next Generation Wireless Networks", "Signal Processing", "Machine Learning" UK only How to apply: uom.link/pgr-apply-2425 This PhD project aims to design novel resource allocation
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need to apply for a PhD place at your preferred CAM-DTP university and indicate that you wish to be considered for ESRC funding. If you are made an offer of admission, your department will decide whether
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sensors to deliver resilient, high-accuracy positioning. The project sits at the intersection of navigation, AI-enhanced signal and data analysis, and wireless communication systems, with applications in
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potential for research and publication at the highest level, communication skills, and a good understanding of and interest in the policy process. Salary: Research Associate: £37,694 -£46,049 (Grade 7
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dependent on having a PhD. Those who have submitted but not yet received their PhD will initially be appointed as a Research Assistant (Grade 5, Point 38 - £34,610) moving to Research Associate (Grade 7) upon
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Behaviour Ability to work in collaboration with a multi-disciplinary team. Strong communication skills, both written and verbal. Qualifications PhD Awarded (for the position as Research Associate) in
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trustworthy operation of navigation systems in complex, GNSS-denied scenarios. The ultimate goal is to provide the navigation research community and industry with tools and methods that ensure continuous, high
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multi-disciplinary team Strong communication skills, both written and verbal Qualifications PhD Awarded (for the position as Research Associate) in Mathematics or Statistics or Computer Science
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potential, communication and engagement skills and your interest in the research topic. Full guidance on the application process is available here. Early applications are encouraged. The post is preferred