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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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Skłodowska-Curie Doctoral Network “TeraWireless”, part of the Horizon Europe program. Based at the Pisa campus, selected candidates will work on cutting-edge research in terahertz (THz) wireless communications
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will work in a stimulating and highly collaborative environment, alongside experts from an ERC-funded project in wireless bioelectronics. We invite applications for a fully funded PhD position
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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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have the opportunity to work with real-world cyber-physical systems (electric vehicles, space and satellite systems, and power grid testbeds), and will develop expertise in embedded systems, wireless
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two PhD student positions to carry out research with the Signal Processing group in the area of next generation space-terrestrial wireless communications and sensing. We are looking for ambitious and
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positions to carry out research with the Signal Processing group in the area of next generation space-terrestrial wireless communications and sensing. We are looking for ambitious and creative candidates with
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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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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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for this PhD position will be conducted in the research team on Intelligent Wireless Networking. Job description Wireless systems are omnipresent in our daily life, but it is far from perfect, especially