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PhD position in Adaptive Protocols for Decentralized Wireless Networks - Secure Mobile Systems Group
fully funded PhD position in the area of Adaptive Protocols for Decentralized Wireless Networks. The research associate will contribute to the newly established Secure Mobile Systems Group. The main focus
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multimodal sensor systems—both as standalone sensor solutions and as networked sensor systems. Implementation is carried out as embedded systems in the laboratory as well as for deployment in field experiments
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architectures for next-generation wireless communication. Design ultra-low-jitter, low-spur PLLs and validate them on real silicon. Job description Why this position is important Future wireless communication
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- Markovian Processes - Network Based Localisation / Radio based connectivity - Adaptive bandwidth - Mesh networking - Wireless Sensor Networks - Edge Computing - Time Delayed Systems - Adaptive Queuing
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receiver and ADC architectures for next-generation wireless communication. Design time-domain receivers and ADCs and validate them on real silicon. Job description Why this position is important Future
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-efficient digital AI/ML accelerator for real-time transmitter error correction in high-speed RF systems. Co-design and validate on real silicon. Job description Wireless networks are becoming increasingly
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, thermal, electromagnetic or kinetic), are critical for the sustainable operation of wireless IoT devices and remote sensors. The world can reduce reliance on batteries and fossil-fuel-derived power if more
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capable of leveraging signals from terrestrial base stations, non-terrestrial networks such as LEO satellite, and complementary on-board sensors. Specifically, it will: To design reconfigurable airborne
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of data converters, such as wireless communication, UWB ranging and automotive radar. It is worth noting that this research forms a crucial part of a collaborative initiative within a pan-European doctoral
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healthcare, telecommunications, advanced manufacturing, and sensor networks. Key to this project will be doctoral training initiative consisting of 15 PhD students delivered in collaboration with Ulster