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Associate Professor 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 the spatial prediction of ecosystem variables. During his Master's and PhD studies, he worked on periglacial geomorphology and the distribution of soil organic carbon in permafrost regions. As a postdoctoral researcher, he made significant contributions to the use of Unoccupied Aerial Vehicles (UAVs; drones) in ecological research addressing spatial distribution patterns of vegetation, vegetation productivity and plant-herbivore interactions. His work is highly interdisciplinary, integrating various research fields, and utilizing cutting-edge technology. He has been at the forefront of adapting Artificial Intelligence methods in spatial modeling and remote sensing to uncover key ecosystem properties and dynamics.

As a research leader, Matthias has secured over 13 million SEK (approximately 1.3 million EUR) in external research funding, including grants from the Swedish Research Council (VR), FORMAS, and the EU Horizon Europe program for which he is also a Work Package leader. He has supervised five postdoctoral researchers and one PhD student as the main supervisor. Additionally, he has played a key role in early career network activities for many years through the Permafrost Young Researcher’s Network (PYRN) and the Association of Polar Early Career Scientists (APECS), co-organizing multiple workshops, networking events, and outreach activities. Currently, he represents Sweden at the International Permafrost Association (IPA).

Matthias has received multiple accolades for his work, including the Jan Bergström Young Geoscientist Award from the Swedish Geological Society, a nomination for the Wallenberg Academy Fellow by Umeå University, and awards for presentations and posters.