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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 10 hours ago
experience developing and evaluating reproducible geospatial analysis methods using platforms such as Google Earth Engine and GIS, comparing multi-sensor indicators, creating maps of pre-fire vegetation
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skills Proficiency in at least one programming language for geospatial analysis: Python (rasterio, geopandas, scikit-learn), R or Google Earth Engine. Experience with open-source tools (QGIS, GRASS GIS
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for acquiring, managing, analyzing, modelling, and visualizing geographic information to understand spatial patterns, processes, and relationships. Lund University GIS Centre at the Department of Earth and
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Qualifications Five or more years of experience using programming and data-analysis tools such as Python and/or R. Experience with UAS imagery, satellite remote sensing, GIS, or other geospatial datasets
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October 2026 Apply now Do you want to use artificial intelligence, geospatial data science, and urban analytics to create healthier and more equitable cities? Are you excited about developing innovative AI
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remote sensing of vegetation, e.g. spectral mixture analysis. Other merits We are particularly interested in candidates with: Experience with web-GIS development or geospatial data visualization
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-intensive soil and agronomic analytics and geospatial modeling. • Proficiency in proximal sensing, GIS, and remote sensing. • Ability to multi-task and work cooperatively with others. Preferred Qualifications
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, with a strong interest in the integration of geospatial Artificial Intelligence (AI) and machine learning. Are you enthusiastic about the chance to combine research in Remote Sensing and AI with teaching
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interpretation of environmental and geospatial data (including GIS and/or drone-based methods), and support its translation into innovative, publicly engaged outputs within the EASE framework. The role includes
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standardization; knowledge of geospatial analysis (GIS, QGIS, Google Earth Engine); experience with carbon and soil health metrics and assessment frameworks; previous publications on soil health and soil carbon