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Scientists (f/m/d) for Sensing Algorithms in 5G/6G Wireless Networks - JOB ID: 272435

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Austria📅 10/11/2026

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1 Scientists (f/m/d) for Sensing Algorithms in 5G/6G Wireless Networks - JOB ID: 272435 CENTER FOR DIGITAL SAFETY & SECURITY * You will investigate cooperative positioning and advanced localisation algorithms for wireless communication networks in complex outdoor scenarios, using AIT's Radio-Frequency lab and an optical tracking system to obtain accurate ground-truth position measurements. * You will validate the algorithms through numerical simulations and empirical measurements, while contributing to the development and deployment of a distributed wireless network using state-of-the-art hardware and software-defined radio (SDR) technology. * You will publish your research results at conferences and in international journals. * You will gain expertise in a research field with a wide range of applications, spanning construction, logistics, aviation, railways, agriculture, robotics, and defence. * You will work alongside an international team of scientists and expand your professional network through European-wide research projects.Your qualifications as an Ingenious Partner: * Completed technical studies (Master's degree or PhD) related to Telecommunications, Computer Science or Electrical Engineering * Experience in at least one of the following profiles: ** Distributed localisation in wireless networks ** Positioning and sensing in 5G/6G networks ** Please describe in the cover letter how your CV and expertise match with at least one of the technological areas above (explicitly referring to 1.- 2.) Applications that do not address this point may not be considered further. * Excellent knowledge in the field of statistical signal processing and numerical simulation software development (Python or MATLAB) * Sound knowledge of radio propagation modeling and data analysis, machine learning, algorithm design and validation * Experience in performing lab measurements and collecting datasets for validation of developed algorithms * Good understanding of algorithms in the
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