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costly to deploy at scale. This leaves a critical capability gap in wildfire early detection. This PhD will explore a novel solution: using ambient Radio Frequency (RF) signals as passive environmental
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. PhD Project Description Project Title: Photonic-Inspired Federated Learning for Communication-Efficient Next Generation Radio Access Networks (NG-RANs) Description: This PhD project will develop a novel
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Group, https://www.chalmers.se/en/departments/e2/research/communications-antennas-and-optical-networks/communication-systems/ , employing around 45 people, including 8 faculty and 25 PhD students. During
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 1 month ago
the Inria-AIO team (https://team.inria.fr/aio/ ) and will receive their PhD from Sorbonne University. The Inria-Paris center is located at the heart of Paris, in the 13th arrondissement. Some details of
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processes are based on the principles of Open, Transparent and Merit-based Recruitment (OTM-R). Where to apply Website https://selection.uoc.edu/web/profile/login.aspx Requirements Research FieldComputer
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Join the University of Birmingham for groundbreaking PhD research to make 6G possible! Future radio communication systems (6G and beyond) will use frequencies above 100 GHz to achieve bit rates
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Job description PhD Researcher for next-generation WiFi chip design on Software-Defined Radio About the employer Ghent University is a world of its own. Employing more than 15.000 people, it is
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, addressing the growing need for efficient use of the radio spectrum as demands for 5G, 6G, and massive IoT continue to increase. The project brings together expertise in radio frequency engineering, signal
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), coverage (bit/s*m2) or density (bit/s/m2). Such models are essential to optimize design choices and to make appropriate trade-offs. Radio systems (RF) are well understood thanks to decades of progress in
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the shift from the robust architecture of radio-TV transmitters and receivers to the far more complex and fragile structure of ‘over-the-top’ (IP-based) media delivery. The project will model optimal