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Field
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hydrologic connectivity metrics. Furthermore, the qualified candidate must possess advanced skills in geocoding, GIS, raster analysis/processing, and the management of large geospatial datasets. Familiarity
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expected to have experience in hydrologic/hydraulic modeling and in one or more of the following topics: in situ sensor installation and flood monitoring, GIS & geospatial big data, AI/ML and data science
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chambers, (2) field sampling and lab analyses to quantify rates of carbon sequestration into soils and vegetation, and (3) geospatial upscaling of results to estimate the carbon and greenhouse gas balance
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to conduct biogeochemical and geomorphological research, including field data collection and analysis using remotely sensed imagery and geospatial data. The scholar will conduct scientific literature reviews
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, Goldberg, and Kerr in order to advance their career in academic research, public health practice, and/or public policy. Important geospatial datasets used for this research include chemical transport
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research skills, particularly in statistical modeling, geospatial analysis, and health metrics evaluation. Experience working with a variety of spatial datasets, including remote sensing data, for health and
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point cloud data processing, deep learning for time series data prediction, digital twin, geospatial mapping with vehicle and UAV mounted remote sensing systems or robotic systems, crowd simulation
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, Geospatial Science, Data Science, Computer Engineering, or a closely related field, with an emphasis on machine learning, AI, remote sensing, computer vision, or interdisciplinary data science applications
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
emphasis on remote sensing. 2. Experience of using multiple sources of remotely sensed data, particularly optical, Lidar, and Radar data. 3. Sound statistical skills and use of Machine Learning/Geospatial AI
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, including familiarity with programming environments such as R or Python. Experience with geospatial analysis and/or systems modeling around agriculture/food/energy applications, as well as experience working