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. The project aims to use D-MIMO infrastructure and machine learning to perform real-time sensing, such as positioning, intrusion detection, fire detection and detection of other types of anomalies. As a PhD
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conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in-distributed-wireless-systems/ Distributed MIMO
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20 Feb 2026 Job Information Organisation/Company Centrale Supelec Department L2S Research Field Engineering » Communication engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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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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PhD students, postdocs, and faculty on joint projects, ensuring experimental results support theoretical work. Co-author scientific publications in IEEE journals and conferences, and contribute to open
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of distributed MIMO, and/or coordinated multi-AP operation (under study in the Wi-Fi 8 standardisation workgroup), using Hardware Description Language on FPGA, based on the open-source openwifi project (https
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they are applying to for more than 1 year in the past 3 years. Candidates should not have already been awarded a PhD degree. Website for additional job details https://newton-6g.eu/ Work Location(s) Number of offers
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(R1) Positions PhD Positions Application Deadline 16 May 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 38,5 Offer Starting Date 17 Feb 2026 Is
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already been awarded a PhD degree. Selection process You should submit your CV through a dedicated site: https://cv.newton-6g.eu/ Additional comments Position: Data-driven models for CF networks
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on the physical layer design of wireless communication systems and explore enabling technologies for 6G and beyond wireless networks. Applicants must hold a PhD degree in electrical/electronics engineering