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- Justus Liebig University Giessen •
- Leiden University
- NTNU - Norwegian University of Science and Technology
- Wageningen University & Research
- BRGM
- Fondazione Bruno Kessler
- Swedish University of Agricultural Sciences
- UNIVERSITY OF HELSINKI
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- CNRS
- Cleveland State University
- Delft University of Technology (TU Delft)
- Durham University
- FCiências.ID
- Heidelberg University
- Inria, the French national research institute for the digital sciences
- NTNU Norwegian University of Science and Technology
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- University of Arkansas
- University of Göttingen •
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Field
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; Interest in interdisciplinary environmental assessment and offshore renewable energy systems; Experience with programming and/or data analysis (e.g. Python, R, MATLAB, GIS); Excellent written and spoken
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, R, MATLAB, GIS); Excellent written and spoken English skills; Ability to work both independently and collaboratively in an interdisciplinary research team. What we offer Our goal is to work together
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energy/water balance, evapotranspiration, thermal comfort, heat-health interactions. Solid programming and data analysis skills (e.g. Python, R, GIS). Willingness to travel for validation-related fieldwork
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, Environmental Physics, Physical Geography, Urban Design, or a related field; Experience in atmospheric numerical modelling (e.g., RANS, LES) and scientific programming and GIS tools — or strong motivation
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, and scenario analysis; Experience with programming and/or data analysis (e.g. Python, R, MATLAB, GIS); Excellent written and spoken English skills; Ability to work both independently and collaboratively
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doctoral education in the interdisciplinary field of geoinformatics. GI (geoinformation) is a powerful economic factor: around 80% of all decisions in society are said to have a spatial component, due to
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spatially explicit approaches and GIS, and ideally some familiarity with object-oriented programming (e.g. Java). Analytical mindset: The ability to bring together diverse datasets, ensure data quality
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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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. Job requirements MSc degree in Hydrology, Environmental Engineering, Civil Engineering or a related field Excellent computer programming and GIS skills Proficiency in written and spoken English (Dutch
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Cartography, GIS and Remote Sensing are closely linked with the Centre for Biodiversity and Sustainable Land Use (CBL). Furthermore, the Department of Human Geography is linked with the Centre for Modern Indian