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familiarity with model coupling frameworks (e.g., ESMF). Proficiency in programming and data analysis (e.g., Python, Fortran) and handling large datasets, including GIS or remote sensing integration. Strong
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support PI’s research and education activities to enhance environmental, soil, water quality, microclimate monitoring, Geographic Information System (GIS), and remote sensing research programs as part of
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of the University of Kiel, and the remote sensing company EOMAP GmbH & Co. KG. Who are we? The IOW is an independent research institute of the Leibniz Association for which equal opportunities, family friendliness
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temporal scales - in both terrestrial and aquatic ecosystems, their origination and their response to global changes. To make these connections, we collect data through environmental DNA methods, remote
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information, remote sensing data, and GIS software. Experience in deep learning and computer vision. Experience in developing software tools and products. Experience in writing scientific papers and successful
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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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with GIS, remote sensing, and geospatial data mining ;- Excellent communication and collaboration skills ;- Excellent written and oral communication skills in English. Proficiency in French or German
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at the time of application is accepted, but Ph.D. is required by the start date. • Candidate must have experience using GIS and remote sensing software and satellite data products in analyzing glacial lakes
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experience in geo-spatial analysis and working with remotely-sensed satellite imagery Demonstrable experience of image analysis (for example, using Google Earth Engine or PlanetScope) Experience of programming