Filled positions

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DC4: Drone-hosted mobile spectrum sensing and cells for 6G
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Host: RWTH Aachen University, Germany Main supervisor: Prof. M. Petrova [RWTH] Co-supervisors/mentors:  Joerg Widmer [IMDEA], Dr. L. Simić [RWTH], and Dr. A. Saavedra [NEC] Required profile: Electrical Engineering, Telecommunications Engineering, Computer Science or equivalent disciplines Desirable skills, interests and background: Wireless communication, embedded systems, signal processing, and fundamentals of networking. Objectives: To achieve on-device spectrum…

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DC3: RF-sensing for ambient IoT devices and coexistence with legacy devices
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Host: IMDEA Networks Institute, Madrid, Spain Main supervisor: Prof. D. Giustiniano [IMDEA] Co-supervisors/mentors: Prof. P. Casari [UNITN] & Dr. T. Otim [IMDEA], and Dr. A. Rahman [ISRD] Required profile: Electrical Engineering, Computer Science, and Embedded Systems. Desirable skills, interests and background: Wireless communication, embedded systems, hardware design, signal processing Objectives:  To perform spectrum measurements in…

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DC2: Physics-Informed AI-empowered aerial and terrestrial distributed sensing
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Host: KU Leuven, Belgium Main supervisor: Prof. Hazem Sallouha [KUL] Co-supervisors/mentors: Prof. M. Matinmikko-Blue [OULU], Dr. R. Martinez [KUL], and Dr. J. Buysse [Citymesh] Required profile: Telecommunications, Electrical Engineering Desirable skills/interests: Wireless communications, signal processing, optimisation, machine learning, as well as programming and implementation skills Objectives: To design sensors and a data acquisition system for…

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DC1: Low-power IoT sensing at high frequency bands
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Host: IMDEA Networks Institute, Madrid, Spain Main supervisor: Prof. Joerg Widmer [IMDEA Networks] Co-supervisors/mentors: Prof. M. Petrova [RWTH], Dr. T. Otim [IMDEA], and Dr. X. Costa-Perez [NEC] Required profile: Telecommunication, Electrical Engineering, Computer Science Desirable skills/interests: Signal processing, wireless communications, hands-on experience with hardwares Objectives: Low-power RF front-end design to monitor mm-wave spectrum for IoT…

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