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Matthias Siewert specializes in remote sensing and spatial modeling, with a focus on Arctic ecosystems. His research encompasses optical remote sensing of vegetation, land cover classification, and spatial prediction of ecosystem variables. His Master's and PhD studies involved periglacial geomorphology and the distribution of soil organic carbon in permafrost regions. As a postdoctoral researcher, he made significant contributions to ecological research utilizing Unoccupied Aerial Vehicles (UAVs) to address spatial distribution patterns of vegetation and plant-herbivore interactions. His work is highly interdisciplinary, integrating various research fields and utilizing cutting-edge technology. He is at the forefront of adapting Artificial Intelligence methods to spatial modeling and remote sensing, uncovering key ecosystem properties and dynamics. Matthias has secured 13 million SEK in external research funding through grants from the Swedish Research Council (VR), FORMAS, and the EU Horizon Europe program. He has supervised five postdoctoral researchers and PhD students as the main supervisor. Additionally, he has played a key role in early career network activities, representing Sweden in international fora, including the International Permafrost Association (IPA). Matthias has received multiple accolades, including the Jan Bergström Young Geoscientist Award from the Swedish Geological Society and a nomination as a Wallenberg Academy Fellow at Umeå University.
Umeå University • Umeå, Sweden
Specializes in remote sensing and spatial modeling, focusing on Arctic ecosystems. Led research projects and secured external funding.
Requirements are standard for Master's programs across Social Sciences and Humanities at Umeå. English 6 proficiency is the general rule.