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Field
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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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Are you passionate about using geospatial data and place-based analytics to address mental health inequalities in rural and coastal communities? The University of Lincoln is seeking an ambitious
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geospatial data, supporting research on climate, biodiversity, and water systems. We’re looking for candidates with a PhD and a strong background in AI/data science, interested in interdisciplinary and
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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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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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imagery; ii) Collection and analysis of field data; iii) Land use and land cover studies with a focus on agricultural systems; iv) Organization and management of geospatial databases, preparation
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At the Technical Faculty of IT and Design of the Department of Sustainability and Planning, Copenhagen, a position as Postdoctoral researcher in Geospatial Machine Learning for Predicting Land Use
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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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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