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are rapidly evolving – ranging from remote sensing and automated sensors to genetic techniques and classical field-based inventories. This PhD project focuses on how biodiversity in forests can be measured
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of aerosol characterisation using the synergy between remote sensing and in-situ methodologies. The successful candidate will mainly focus on mineral dust and on the Eastern Mediterranean and Middle East (EMME
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: Biodiversity is a fundamental prerequisite for the ecological functioning, resilience, and long-term sustainability of forests. At the same time, new methods are rapidly evolving – ranging from remote sensing
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access to state-of-the-art infrastructure. Supervision by PD Dr. Gerrit Kuhlmann, with joint affiliation to the Remote Sensing Laboratories at the University of Zurich. The PhD degree will be awarded by
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wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom We’re looking for people driven by excellence, excited about innovation, and looking
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Safe and efficient ice navigation supported by satellite data Join us at the Division of Geoscience and Remote Sensing and help advance knowledge about sea ice dynamics and develop the capability
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; Biometeorology and land atmosphere interactions; Education Level : PhD in Remote Sensing, Environmental Science, Hydrology, Atmospheric Science, or a related discipline. At least 5 years of postdoctoral experience
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Department of Forest Resource Management The Department of Forest Resource Management conducts education and research in the areas of forest planning, forest remote sensing, forest inventory and
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, integration, and validation for environmental and forest monitoring. Familiarity with remote sensing, cartography, and spatial data analysis using specialized software and tools will be considered a significant
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: 19.12.2025 EXPIRES: 28.01.2026 WEBSITE www.igf.edu.pl KEYWORDS: Geophysics, physics, Earth and Environmental Sciences, environmental hydraulics; field research; riverine vegetation; remote sensing; UAV/drones