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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
representations and embedding techniques that allow LLMs to natively interpret spectrum-related information, capturing the unique temporal, spatial, and physical characteristics of 6G signals. Building
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pseudorange correction through multiobjective optimisation. The research will explore multiple classes of constraints that will be embedded as objectives: Internal pseudorange consistency: ensuring
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. Signal Conditioning: Embedding low-power electronics for amplifying and encoding the DA oxidation current into a transmittable signal. Wireless Data Transmission: Establishing reliable signal communication
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. The framework consists of three key technical innovations. First, a multimodal encoder will be developed to project heterogeneous network data (e.g., time-series, sequences, graphs) into a token-like embedding
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aquaculture, ensuring robust experimental validation of behavioural biomarkers. Dr Jun Chew (Engineering) will lead on sensor design, system integration, and embedded software development. Industrial engagement
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this knowledge gap using a scale-spanning strategy, investigating viral and archaeal counter-adaptations in environmentally sourced cultures. Embedded in an interdisciplinary supervisory structure; Daum (archaeal
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) who will offer site access, data sharing, methodological guidance, and pathways for embedding results within restoration practice. Collaborative Partner Natural England will provide access to site
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field studies, and innovative design strategies will be developed that incorporate corrosion-resistant materials, optimised configurations, and embedded Internet of Things (IoT) sensors to monitor