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Field
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models for bridging knowledge gaps, data scarcity and uncertainty gaps, and governance gaps related to monitoring the environment on which humans depend. A part of this is **spatial statistics of sensor
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, for example using Python or comparable tools, and experience with GIS-based spatial analysis. The ability to work with heterogeneous geological, hydrogeological and monitoring datasets and to connect
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develop the urgently needed system understanding, data analysis tools, and forecasting models for science and expert users, and co-create common ground among stakeholders for future-proof coastal management
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traits and structure regulate below-ground microclimate and microbial carbon cycling across spatial scales. You will combine controlled experiments, field observations, remote sensing data, ecosystem flux
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organic matter degradation processes; Experience or strong interest in synchrotron-based analysis techniques You approach scientific problems with determination and are eager to develop multidisciplinary
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these techniques is a plus but not required. Affinity with the collection and analysis of (aeolian) field measurements is a plus. You communicate clearly and have a strong command of the English language. Our offer
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Research Assistant Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 28 to 32 Application deadline: 1 October 2026 Apply now How are
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, and communicate complex spatial environments? Do you hold a master’s degree in cognitive science, environmental psychology, human-computer interaction, geo-information science, or a related field, with
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local nature organizations, and policy stakeholders. The position combines fieldwork, data analysis, scientific assessment, and stakeholder engagement, offering a unique opportunity to contribute
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evaluation framework covering statistical fidelity, temporal and spatial structure, physical plausibility and downstream task performance (e.g. train-synthetic-test-real forecasting). You will collaborate with