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the NextG Wireless Lab. The successful candidate will contribute to cutting-edge research on the modeling, design, and performance analysis of emerging massive multiple-input multiple-output (MIMO
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, design, and performance analysis of emerging massive multiple-input multiple-output (MIMO) architectures for next-generation wireless communications systems. The candidate will investigate advanced MIMO
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candidate will contribute to cutting-edge research on the modeling, design, and performance analysis of emerging massive multiple-input multiple-output (MIMO) architectures for next-generation wireless
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); - Experience with data balancing techniques; - Desirable basic knowledge of Multiple Input, Multiple Output (MIMO), Fluid Antenna System (FAS), and Compressive Sensing (CS); - PhD degree obtained within the last
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excellence in one or more of: MIMO, reconfigurable intelligent surfaces (RIS), wireless AI, integrated sensing and communications and wireless system optimisation strong mathematical and analytical
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scheduling and asynchronous access strategies for future wireless systems, with particular attention to mobility, spatial non-stationarity, and scalable device connectivity in extra-large MIMO deployments
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MIMO communications Analog, digital and hybrid beamforming architectures Reconfigurable intelligent surfaces Machine learning for wireless communications Hardware-constrained signal processing