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Field
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processing for wireless communication systems including satellite communications and radar systems and is currently expanding its research activities in exploring several emerging use cases of next generation
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of RF communicating electronic systems to a multitude of waveforms, within the framework of the optimization of a non-linear radar. The candidate for this position will be responsible for : - Setting up
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analysis and interpretation of meteorological data obtained through radar are fundamental for weather forecasting and monitoring severe weather events. Radar images, especially those of the PPI (Plan
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to staff position within a Research Infrastructure? No Offer Description Accurate analysis and interpretation of meteorological data obtained through radar are fundamental for weather forecasting and
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of radar-based and multimodal sensing for low-visibility environments. This position is funded in part by the research project Clearpath, which is performed in collaboration with Volvo Construction Equipment
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vehicles, in particular along the line of radar-based and multimodal sensing for low-visibility environments. This position is funded in part by the research project Clearpath, which is performed in
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radar (SAR) was launched on 29 April 2025 and recently finished its commissioning phase. This 5-year ESA Earth Explorer mission will produce much-needed global forest biomass data using its polarimetric
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processing for wireless communication systems including satellite communications and radar systems and is currently expanding its research activities in exploring several emerging use cases of next generation
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. Other requirements include Expertise in several areas among the following is desired: radio system modeling, electromagnetics, antennas, propagation, RF frontends, radar. Demonstrated expertise in channel
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 7 hours ago
. The successful candidate will work on designing and training advanced deep learning models (e.g., U-Net, Vision Transformers) using multi-modal EO datasets (optical, radar, thermal, LiDAR) to generate high