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for extension subject to project needs and funding. The Fellow will work under Assistant Professor Kyle Morgan to integrate existing and newly collected photoquadrat, multiscale photogrammetry and environmental
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/ESA_selects_Harmony_as_tenth_Earth_Explorer_mission ) The candidate will develop and apply cutting-edge remote sensing or photogrammetry methods, in combination with data science approaches such as machine learning and data assimilation via
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or photogrammetry methods, in combination with data science approaches such as machine learning and data assimilation via cryospheric models. A main focus of this work is snow and glaciers in the mountains around the
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) The candidate will develop and apply cutting-edge remote sensing or photogrammetry methods, in combination with data science approaches such as machine learning and data assimilation via cryospheric models. A
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/ESA_selects_Harmony_as_tenth_Earth_Explorer_mission ) The candidate will develop and apply cutting-edge remote sensing or photogrammetry methods, in combination with data science approaches such as machine learning and data assimilation via
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may also use complementary spatial technologies such as digital twins, photogrammetry and spatial modelling. Based on this GIS foundation, the candidates will continuously participate in co-creation
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geospatial modeling and computational spatial data processing • Strong proficiency in Python and scalable data pipeline development • Experience working with LiDAR, elevation models, photogrammetry, and large