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at the intersection of 6G wireless communications, antenna, design, AI-enhanced beamforming and advanced air mobility (AAM). As aviation evolves towards high-agility platforms such as urban air taxis, drones, and
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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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components for real-time signal transmission. The design will include: Implantable antenna design: Developing a dual band antenna for efficient wireless communication and power transmission simultaneously
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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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will also be beneficial. Relevant professional or research experience in areas such as embedded systems, wireless communication, or hardware security would be advantageous but is not essential. To apply
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-generation 6G wireless networks. Cell-free massive MIMO represents a significant advancement in wireless communications, where a large number of distributed access points cooperate to serve users without
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decision-making. Examples include crowd management and large-scale communication networks based on cellular or wireless sensors. For instance, during mass gatherings such as the sport matches (e.g
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hardware with wireless communication and complex analytical software. Mussel behaviour is not binary (open/closed) but highly dynamic, with subtle patterns indicating different stressors. Training machine
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impacts and suboptimal decision-making. Examples include crowd management and large-scale communication networks based on cellular or wireless sensors. For instance, during mass gatherings such as the sport
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wireless communication systems. The PhD student will carry out specifically the following initial tasks: implementation, and calibration of the microscopy system; electromagnetic modelling of the near-field