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in non-parametric, 3D environment modelling. We will assess the utility of these tools for map-building using magnetometer data as well as exploring the potential for existing geospatial maps to enable
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meteorological, snowpack, and avalanche datasets using statistical, geospatial, and programming tools (R and Python). Calibration, evaluation, and application of snowpack and hydrologic models (e.g., SNOWPACK
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, agricultural landscapes, construction activity, and freshwater resources as a living regional laboratory to develop transferable methods for mapping, modeling, and evaluating industrial symbiosis opportunities
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emissions affect peatland ecosystems across the island. The successful candidate will lead research integrating remote sensing, fieldwork, laboratory analysis, and geospatial methods, including GIS and
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area of Gaussian Process based Simultaneous Localisation and Mapping (SLAM) and recent advances in non-parametric, 3D environment modelling. We will assess the utility of these tools for map-building
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of foundation or multimodal models into geospatial production workflows Minimum Qualifications: • Ph.D. in Geomatics, Spatial Computing, Computer Science, or a closely related field • Demonstrated expertise in 3D
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valuable for producing reliable climate projections, whether certain weather systems are fundamentally harder to model with machine learning than others, and whether we can develop emulators that can be
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knowledge Produce geospatial scenarios, vulnerability indicators, and decision-support tools Collaborate with research teams and community partners to support model development and application Mentor students
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platform for the Pan-Amazon Evidence and Action Hub that hosts diverse and harmonized sustainability-related datasets, including environmental, socioeconomic, cultural, and geospatial data. Design and
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₃ emissions affect peatland ecosystems across the island. The successful candidate will lead research integrating remote sensing, fieldwork, laboratory analysis, and geospatial methods, including GIS and