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at the intersection of 6G wireless communications, antenna, design, AI-enhanced beamforming and advanced air mobility (AAM). As aviation evolves towards high-agility platforms such as urban air taxis, drones, and
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filled. This fully funded PhD explores AI-native and sensing-aware wireless systems where communications and sensing are co-designed end-to-end. You will unify modern machine learning, statistical signal
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-generation 6G wireless networks. Cell-free massive MIMO represents a significant advancement in wireless communications, where a large number of distributed access points cooperate to serve users without
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control and reinforcement learning supported by an edge-cloud-based wireless communication environment. The doctoral student will work on data-driven theory and method development in simulation environments
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Skłodowska-Curie Doctoral Network “TeraWireless”, part of the Horizon Europe program. Based at the Pisa campus, selected candidates will work on cutting-edge research in terahertz (THz) wireless communications
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animals. Your Mission You will co-develop a new class of OECT-based battery-free implantable devices that combine: • Wireless analog communication based on backscatter-modulation architecture. • Co-design
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wireless communication systems. The PhD student will carry out specifically the following initial tasks: implementation, and calibration of the microscopy system; electromagnetic modelling of the near-field
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for communication and computing in highly dense cellular networks and for infrastructure-less wireless services. Successful applicants will work on algorithms and techniques to make Safe Machine Learning available
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Description Summary: There is an open call for two (2) Research Scholarship (“Bolsa de Investigação”) at Instituto de Telecomunicações, in the scope of project Joint-Lab-RD2. Scientific Area: Wireless
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for this PhD position will be conducted in the research team on Intelligent Wireless Networking. Job description Wireless systems are omnipresent in our daily life, but it is far from perfect, especially