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, GNSS positioning is highly susceptible to errors from atmospheric distortions, multipath effects, and receiver noise. Recent advances in deep learning have shown that data-driven pseudorange correction
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storm to use these technologies and/or visit the affected area to evaluate storm-related tree damage. Therefore, to support sales planning and the safety of foresters working in the field, there is a need
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are fundamentally limited by a "one model for one task" design philosophy. This approach incurs prohibitive engineering costs and yields brittle solutions with poor generalisation to new network conditions, trapping
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existing models of reliability, performance, and safety. Similarly, in dynamic crowd scenarios, assumptions about orderly movement can break down due to panic or unexpected human behaviour, leading
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that challenges existing models of reliability, performance, and safety. Similarly, in dynamic crowd scenarios, assumptions about orderly movement can break down due to panic or unexpected human behaviour, leading
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, ecological, and physiological approaches, preparing them for many career paths in marine science. Useful recruitment links: For information relating to the research project please contact the lead Supervisor
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the two primary supervisors’ expertise in behavioural field biology with engineering and data science approaches to develop and test tools for behavioural research and ecological monitoring. The Cornish
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
generation of wireless communication (6G) to extend network coverage, supporting diverse data-intensive applications such as immersive extended reality and autonomous systems. However, aerial 6G networks will
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behaviour in a practical, real-time monitoring system requires advances in both sensor engineering and behavioural data interpretation. This PhD project aims to develop a next generation environmental
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The University of Exeter has a number of fully funded EPSRC (Engineering and Physical Sciences Research Council ) Doctoral Landscape Award (EPSRC DLA) studentships for 2026/27 entry. Students will