Carry out novel research works in some of the following domains; Novel communications technologies for Beyond 5G/6G networks and services; Cellular, UAV, IoT, Tactile Internet, MEC, V2X, D2D, M2M, eMBB, mMTC and URLLC; Machine learning/deep learning techniques and Artificial Intelligence for wireless communications; Reinforcement learning, active learning, transfer learning, federated learning and interpretable/explainable AI; Software defined networking, network virtualization and network slicing for wireless networks; Energy-efficient communication technologies; Energy harvesting, SWIPT, backscatter communications and reconfigurable intelligent surfaces; Advanced multi-antenna technologies for B5G/6G wireless networks; Massive MIMO, cell-free massive MIMO, beam space massive MIMO, active antennas, smart antennas, precoding, hybrid analog-digital beamforming and 3D beamforming
Requirements:
A PhD degree in wireless communications, signal processing, machine/deep learning or a closely related field in Electrical and Computer Engineering; Should have published at least 3 journal papers in top 10% international journals of the field, and/or should have strong experimentation background and experience of working in industries or university laboratories; Sound publication track-record on one or some of the following areas: wireless communications technologies, signal processing for communications, machine/deep learning, UAVs, MTC/IoT communication techniques/protocols, Terahertz communications, and Quantum communications
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