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environments like health care and environmental monitoring. This PhD project aims to address these challenges by exploring how evolutionary algorithms and reinforcement learning (RL) techniques can be combined
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this goal, we will combine new datasets, a deeper process-understanding, sophisticated models and improved experimental design. As part of CLARiTy, this PhD will focus on modelling the impact of degradation
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can significantly enhance GNSS positioning. For example, PrNet learns to correct pseudoranges using features such as raw pseudoranges, signal-to-noise ratio, elevation and azimuth angles, and
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to quickly quantify the damage to forest plantations after a cyclone or a tropical storm. There is unrealised potential in using multi-modal computer vision methods that synthesis multi-source Earth
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for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and
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retreat cannot be reversed even with rapid CO₂ drawdown. This PhD will identify early signals by the 2030–2050s, targeting specific Antarctic glacier systems that are vulnerable to early retreat (Needell et
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for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of 2,000 and individual Training Budget of 1,000 for specialist training Project Aims and
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shipping and changing regulation now makes the ship design problem more challenging than ever. This fully-funded PhD studentship in partnership with Mari-UK, University of Newcastle and BMT Ltd, will
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for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
-latency, and scalable operation in aerial 6G networks. In this regard, Large Language Models (LLMs) have recently emerged as a key technology to achieve adaptive 6G spectrum management. The core idea of LLM