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analysis, statistical modelling or remote sensing experience with GIS, programming (R/Python) or handling large datasets demonstrated interest in method development or biodiversity research Great emphasis
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subject: Technology/Forest management/Biology Description: The Department is looking for a PhD student within the area of remote sensing of forest. Using remote sensing the PhD student will develop methods
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climate and geospatial databases. Experience in GIS/Geomatics and remote sensing data analysis. • Languages: French and English (spoken and written) are essential, given the regional context and
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postcolonial studies Environmental Studies Environmental and Climate Science Environmental Health and Risk Assessment Ecology and Conservation Science Environmental Policy and Governance GIS, Remote Sensing, and
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to develop and apply advanced remote-sensing approaches and AI-assisted image analysis to investigate the distribution, diversity, and spatial dynamics of Antarctic lichen communities, thereby contributing
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and remote sensing data including leading disaster event response, coordinating data collection and field campaigns, and supporting data integration efforts across the Center's four Hazard Observatories
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managed boreal forest landscapes. The research will be done in terrestrial ecosystems. It aims to include experimental and observational studies (e.g. using field, lab, remote sensing data) along
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of coding (R and/or Python), enthusiasm for quantitative analysis Desirable: GIS/remote sensing, bioacoustics, machine learning, or statistical ecology. Field experience is useful but not required. Impact and
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work as part of a research team within the Laboratory of Geo-Information Science and Remote Sensing (GRS), which is led by Prof. Sytze de Bruin (https://www.wur.nl/en/persons/sytze-de-bruin-1.htm
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hazards and assessing their risk for the society. At the same time, they are fully qualified users of remote sensing, GIS and statistictical software techniques that can be applied to geoscience and