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, land-use change, and environmental dynamics. • Design and implement spatial analytics and geospatial modeling approaches to analyze urban environmental processes. • Apply machine learning and
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geospatial modeling approaches to analyze urban environmental processes. • Apply machine learning and geospatial data analysis techniques to large Earth Observation datasets. • Produce high-quality
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. The postdoctoral researcher will contribute to cutting-edge research at the intersection of Earth Observation, geospatial analytics, artificial intelligence, climate and sustainability science, aiming to develop
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the integration of hydroclimatic, geospatial, and remote sensing data to support decision-making, strengthen urban water resilience, and contribute to sustainable water resources management. The selected candidate
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, urbanization, and increasing water demand. The role involves the integration of hydroclimatic, geospatial, and remote sensing data to support decision-making, strengthen urban water resilience, and contribute
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Geospatial analysis, machine learning, and predictive modelling, Have a good command of programming tools such as R packages, Phyton, and other programming languages Publications in the field Excellent
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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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for spatio-temporal data. Advanced Python skills and experience with ML frameworks and geospatial tools (e.g., PyTorch/TensorFlow, rasterio/GDAL). Ability to work independently and produce reproducible
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, Agronomy, modeling, biostatistics, or related field The applicant should have documented knowledges in Geospatial analysis, machine learning, and predictive modelling, Have a good command of programming