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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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. The expected base pay range for this position exceeds Stanford guidelines. Required Qualifications: PhD with substantial expertise in data science, geospatial techniques, and statistical/causal inference
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 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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postdoctoral position is available to work with a multidisciplinary team of researchers from the University of Maryland’s Center for Geospatial Information Science (CGIS ), National Center for Smart Growth (NCSG
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 2 months ago
following areas: data management, survey methodology, multilevel regression, causal inference, machine learning, geospatial analysis. Preference is also given to applicants with research interests in one
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MDBs/IFIs Strong publication record Experience working in participatory processes Experience in decision analysis and support processes Teaching experience Experience in geospatial modeling and GIS