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) architectures for next-generation wireless communications systems. The candidate will investigate advanced MIMO paradigms, including continuous aperture MIMO, pre-optimized MIMO arrays, flexible intelligent
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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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communications systems. The candidate will investigate advanced MIMO paradigms, including continuous aperture MIMO, pre-optimized MIMO arrays, flexible intelligent metasurfaces, and tri-hybrid MIMO systems, with a
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. Familiarity with frameworks such as TensorFlow and Keras, as well as libraries including Scikit-learn, NumPy, and pandas; - Experience with machine learning models such as Extreme Learning Machine (ELM
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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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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a postdoc in the field of wireless communications as per May 1, 2026, or as soon as possible
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emerging spectrum (FR3, MMW, sub-THz/THz) Extreme massive MIMO communications Analog, digital and hybrid beamforming architectures Reconfigurable intelligent surfaces Machine learning for wireless
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MIMO communications Analog, digital and hybrid beamforming architectures Reconfigurable intelligent surfaces Machine learning for wireless communications Hardware-constrained signal processing