6.5.2024 – Sweden, SLU
The Department of Forest Resource Management at the Swedish University of Agricultural Sciences (SLU) is thrilled to announce the opening of a prestigious postdoctoral position in Remote Sensing of Forest Natural Disturbances. With a focus on cutting-edge research, this role offers an unparalleled opportunity for early career researchers to delve into the dynamic field of forest ecology and management.
About the Position
The escalating impact of global warming has intensified forest disturbances across Europe, posing unprecedented challenges to sustainable forest management. Addressing this urgent need for monitoring and understanding forest health, the postdoctoral project will pioneer innovative remote sensing techniques to track natural disturbances such as bark beetle attacks and drought stress. Leveraging advanced remote sensing data including multispectral and hyperspectral drone imagery, optical satellite images, and laser scanning data, the successful candidate will develop automated methods to extract crucial information and statistical approaches to estimate damages, spanning from individual trees to landscape scales.
Supported by the Horizon project RESDINET and SLU Forest Damage Center, the position offers a unique collaborative environment for interdisciplinary research. RESDINET, a network project for novel remote sensing technologies in forest disturbance ecology, brings together experts from SLU, the Finnish Geospatial Research Institute, the University of Eastern Finland, and the Institute of Forest Ecology of the Slovak Academy of Sciences. The SLU Forest Damage Center, initiated by a government commission, aims to lead knowledge development in forest damage issues in Sweden.
Your Profile
We are seeking a highly motivated individual with a doctoral degree in remote sensing, forestry, ecology, agriculture, or computer sciences. Candidates should possess expertise in scientific programming and remote sensing data processing, with fluency in English for effective communication and scientific writing. Experience in drone imagery, spectral analysis, time-series analysis, machine learning, and statistics is advantageous. The ideal candidate will demonstrate a passion for technical innovation and a commitment to collaborative research.
Location & Duration
The position is based in Umeå, with a temporary employment period of 24 months, commencing preferably in autumn 2024.
Application Process
Interested candidates are invited to submit their applications before the deadline on May 30, 2024. For further information and application submission, please visit SLU webpage.
About SLU
SLU plays a pivotal role in advancing sustainable life through science and education. With campuses in Alnarp, Umeå, and Uppsala, as well as research stations and teaching sites across Sweden, SLU fosters inclusivity, gender equality, and diverse perspectives to drive scientific innovation and societal development.
For inquiries about the position, please contact:
Langning Huo
Project leader, Researcher
+46 90-786 85 24
Jonas Bohlin
Head of Forest Remote Sensing Division
+46 90-786 86 40
Join us at SLU in shaping the future of forest management through pioneering research and collaboration!