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Field
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for navigation support with synthetic aperture radar. About us The Department of Space, Earth and Environment brings together expertise in space, geoscience, energy and sustainability. Through curiosity-driven
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, or autonomous driving applications Perception and Sensor Fusion: Strong background in processing and fusing data from cameras, LiDAR, radar, or other sensors for robust autonomous system perception ML Engineering
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of multimodal data (e.g., meteorological acquisitions, with radar scans and other ambient or physical parameters), and this makes AI techniques particularly convenient to use, since they are particularly data
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(e.g. radar, satellite, SWOT, SMAP, GOES, etc.) Hydrodynamic model optimization and surrogate modeling Infrastructure risk assessment and resilience analytics Integrate AI methods with physics-based
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out spatially distributed measurements with for example shallow-depth geo-radar. You will be based at the department of Geoscience & Engineering (GSE) within the faculty of Civil Engineering and
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subglacial hydrology. This NSF-funded project seeks to observe changes in subglacial hydrologic network geometry through two consecutive melt seasons by combining passive seismic, radar, and direct moulin
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
sources of remotely sensed data, including very high-resolution imagery, lidar, radar and medium resolution optical data along with ancillary data. This post-doc will work closely with the other post-doc