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RF front-ends (FR2, FR3, V-band) into end-to-end ISAC demonstrators. Implement and optimize advanced signal processing algorithms for joint communication and sensing. Analyze experimental datasets
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components: - operational modal analysis to extract the modes of the probed medium, - algorithmic and experimental developments on the MSE method - and algorithmic and experimental developments on the MFP
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ISAC demonstrators. Implement and optimize advanced signal processing algorithms for joint communication and sensing. Analyze experimental datasets, extract statistical models, and compare findings
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technology that not only enhances signal coverage but also revolutionizes the way we control antennas, reducing system complexity, and paving the way for high-speed, efficient mobile communications. Project
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understanding of: Signal processing algorithms, Security and Privacy Antennas and RF sensing Machine learning for communications systems Integrated Sensing and Communications You will enjoy adventure in research
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goals As a researcher in this project, you will work on mathematical models for describing the radio environment and to design algorithms for estimating, for example, the location and spectral
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to implementation of antenna structures. The employment is a part of the strategic research area within IT and mobile communication, ELLIIT (elliit.se), and it is also connected to the recently established VINNOVA
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Warsaw University of Technology/the Centre for Advanced Materials and Technologies, CEZAMAT | Poland | 2 months ago
(TRL3 to TRL7) of sensors, antennas (incl. on-chip-packages) and measurement systems of sub-THz frequency bands oriented towards imaging for industrial applications, devices for material characterization
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Warsaw University of Technology/the Centre for Advanced Materials and Technologies, CEZAMAT | Poland | 3 months ago
environment, Measure 2.1 International Research Agendas. The candidate will lead WG4 (Terahertz Devices & Systems), which will aim to develop prototypes (TRL3 to TRL7) of sensors, antennas (including on-chip
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. The team's main research areas are: Architectures for Autonomous Robots, Learning, Temporal Planning and Execution Control, and Algorithmic motion planning. RIS is composed of 8 permanent researchers, 4