The mission of the Leibniz Centre for Agricultural Landscape Research (ZALF) as a nationally and internationally active research institute is to deliver solutions for an ecologically, economically and socially sustainable agriculture – together with society. ZALF is a member of the Leibniz Association and is located in Müncheberg (approx. 35 minutes by regional train from Berlin-Lichtenberg). It also maintains a research station with further locations in Dedelow and Paulinenaue.
The KIKompAg project addresses important challenges in agricultural research, such as monitoring agroecosystems at different scales, by integrating artificial intelligence (AI) into the current agricultural toolbox. The main objective of KIKompAg is to develop a coherent approach for integrating multimodal data, AI and simulation methods to characterise agricultural systems across scales and, building on this, to create a comprehensive curriculum covering multiple aspects of agroecosystem analysis with data from multiple sources. The framework combines state-of-the-art remote and close sensing products with various deep learning and mechanistic models, as well as diverse surface and subsurface reference datasets for both cropland and grassland.
Subject to funding, we are offering a full time position temporarily limited until 30 September 2025 at our location in Müncheberg as
1) 3yr Postdoc for artificial intelligence in agricultural science.--
Masahiro Ryo, Prof. Dr.
Group leader of "Artificial Intelligence for Smart Agriculture"
Research Platform "Data Analysis & Simulation
at Leibniz Centre for Agricultural Landscape Research (ZALF)&
Professor of Environmental Data Science
at Brandenburg University of Technology Cottbus-Senftenberg
Twitter: @RyoMasahiro