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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of wireless-native Physical AI Systems within the general study
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Join TU Delft to help shape the future of wireless communication systems. Our research spans 6G, satellite communications, wireless sensing, and non-terrestrial networks (NTN), addressing
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. This PhD will develop AI-enhanced flexible antenna systems for resilient next-generation wireless networks. By exploiting flexible antenna technologies, the project will investigate AI-driven approaches
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removed before the deadline. This PhD will develop AI-enhanced flexible antenna systems for resilient next-generation wireless networks. By exploiting flexible antenna technologies, the project will
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generation hybrid RF and optical wireless communication networks. You will be working within the newly granted The Netherlands Growth Fund 6G-FNS (Future Networks and Services). Information Future wireless
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Are you excited to co-develop a next-generation optical wireless communication system, enhanced by advanced detectors? Can you bridge the fields of electronic and photonic integration to make
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be removed once the position has been 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
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PhD Position Wireless Communications and Non-Terrestrial Networks 40 | Delft | €3059 - €3881 Join TU Delft to help shape the future of wireless communication systems. Our research spans 6G, satellite
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23 Jun 2026 Job Information Organisation/Company Linköping University Research Field Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 31 Jul 2026 - 12:00 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research...
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of wireless communication systems, including 6G networks and Industrial Wireless technologies, will require highly efficient, intelligent, and energy-aware radio frequency (RF) hardware capable