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artifacts caused by atmospheric interference. Furthermore, the inherent complexity of different radar types and their specific configurations hinders the creation of generalizable solutions for processing
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their interpretation, including speckle noise, attenuation effects, altitude variations, and artifacts caused by atmospheric interference. Furthermore, the inherent complexity of different radar types and their specific
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to make a difference. If this sounds like you, you’ve come to the right place! Responsibilities: Conduct original research on joint communications and radar sensing for spaceborne systems, with a focus on
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geospatial data processing and python programming. Candidates should also have knowledge of optical, lidar, and ground penetrating radar sensing systems and understanding of pavement structures and condition
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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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. As such, HALO routinely deploys on different NASA aircraft in support of domestic and international field campaigns. Many of the campaigns are flown with other in situ and remote sensors including
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the fields of Artificial Intelligence (AI) and Earth Observation (EO). It has extensive experience in remote sensing, particularly in radar imaging and its application for measuring surface displacement. It
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innovation, and looking to make a difference. If this sounds like you, you've come to the right place! Responsibilities: Conduct original research on joint communications and radar sensing for spaceborne
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: Department of Atmospheric and Oceanic Sciences Postdoctoral Researcher - Spaceborne Doppler radar science and applications Spaceborne Doppler radar observations play a critical role in atmospheric and Earth
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radar signals), (ii) Medical image analysis, and (iii) Machine learning/artificial intelligence. The division boasts extensive experience in fundamental research within computer vision, machine learning