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Change Adaptation (CCA) simulations and activities in urban environments. The PhD project should leverage multi-scale geospatial data (remote sensing/aerial imagery, point clouds, maps, etc.) and GeoAI
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environmental challenges? Join the Department of Physical Geography at Utrecht University as a PhD candidate and help shape the next generation of geospatial modelling. Your job Predicting ecosystem dynamics
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at the Chair focuses on the empirical analysis of macroeconomic and policy-relevant questions. We work with macroeconomic, microeconomic, firm-level, household, geospatial and international datasets and apply
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knowledge/experience in geospatial data processing (e.g. ArcGIS or similar open source) / database skills and programming/scripting capacity (e.g. R, Python) • Experience in developing Dashboards and
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referees (including email addresses), by email to Prof. John Gallagher ([email protected]). Your application should use the Subject line “Trinity College PhD Application – Geospatial Digital Twin” before
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, Information, and Geospatial Health Tracking (Iowa INSIGHT), a first-of-its-kind initiative dedicated to understanding how Iowa’s environment is impacting the health of its people made possible through
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Familiarity with spatial analysis, GIS, or geospatial data workflows. Experience with machine learning, modelling, or systems analysis approaches Interest in resilience, sustainability, and environmental
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or heterogeneous environmental datasets Familiarity with spatial analysis, GIS, or geospatial data workflows. Experience with machine learning, modelling, or systems analysis approaches Interest in resilience
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PhD in Bridging Physics and Earth Observation: Geospatial foundation models for real-time flood mapping. Award Summary 100% Home fees covered and a minimum tax-free annual living allowance
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, and maintain an open-source Python toolkit for adaptive stope dimensioning and geospatial interpolation. Engage with industry partners, academic research groups to ensure practical relevance and