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Field
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across heterogeneous study designs in developmental contexts, with familiarity with established reporting frameworks (e.g. PRISMA guidelines). Working knowledge of geospatial datasets (e.g. ERA5, MODIS
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. The selected candidate is expected to have expertise in one or more of the following areas: modeling contaminant flow and transport at various geospatial scales, process-based modeling of soil organic matter
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. DESIRABLE EXPERIENCE Ecosystem monitoring and vegetation indices. Time-series analysis of environmental or satellite data. Cloud-based geospatial computing and large-scale data synthesis. CONTRACT DETAILS
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. QUALIFICATIONS PhD in Civil Engineering, Environmental Science, Computer Science, or a related field Research experience in hydrology, geospatial analysis, and machine learning Skills of scientific writing and
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to evaluate the technical, environmental, and socioeconomic implications of transitioning to resilient crops in the Northeastern U.S. and comparable temperate regions. The postdoc will: (1) build geospatial
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large amounts of geospatial training data to effectively classify grazing, haying, and other grassland management regimes on U.S. agricultural lands. The researcher will also work closely with colleagues
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emphasis on Morocco, Africa, and semi-arid to arid regions. The postdoctoral researcher will contribute to cutting-edge research at the intersection of Earth Observation, geospatial analytics, artificial
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under study, i.e. Brussels, Amsterdam, Barcelona, and Thessaloniki; Develop comparative indicators of urban eviction rates; Conduct advanced statistical and geospatial analyses (e.g., using ArcGIS, SPSS
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, sustainable and resilient net-zero society. The postdoctoral position will conduct research on state-of-art AI models with the specific goal to improve geospatial imagery analysis Essential Duties and
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socioeconomic implications of transitioning to resilient crops in the Northeastern U.S. and comparable temperate regions. The postdoc will: (1) build geospatial datasets and remote sensing pipelines, (2