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enthusiastic early‑career researcher eager to develop quantitative, spatially explicit models that support climate‑resilient urban planning? Do you want to work at the intersection of Industrial Ecology, GIS
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, to achieve spatial understanding and cross-modal representation learning from heterogeneous sensor data, with the research not limited to these methods. This research will support semantic interpretation
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. The program develops scientific knowledge, models and simulation tools to support marine spatial planning in a multi-stakeholder co-creation process. You will join a team of 17 PhDs and postdocs across
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PhD: Semantic Modelling of Geodata Sources and Geo-analytical Workflows Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40
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temperatures across a unique buoy array. Combining the in situ buoy data with rain and cloud observations, you’ll quantify spatial and temporal heterogeneity and link atmospheric drivers to lake responses