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3 PhD positions are available within the project “Optimal N for future agricultural landscapes: digital technologies to optimize tradeoffs”. The project aims at developing predictive tools to support site specific crop N management for optimal delivery of ecosystem services related to N. The project is composed of three sub-projects, with respective focuses on process understanding; upscaling; and predictive modelling.
The aim is to develop new indicators of the vitality of honeybee colonies which inform about how much they are affected by stressors. The project will use data from a new electronic counter of the flight activity of a colony with data from drone-based surveys of flowering plants in the surrounding landscape to inform the agent-based honeybee model BEEHAVE (http://beehave-model.net/). BEEHAVE will then be used to develop stress tests for identifying new indicators.
Full-time postdoc research position for integrated crop modeling in the context of climate change and food security temporarily limited to 3 years at our location in Müncheberg beginning 1 March 2019. Application deadline is January 28, 2019. Please send your application preferably by e-mail (one PDF file, max. 5 MB) with the usual documents (cover letter, curriculum vitae, and names of three references) stating the reference number 05-2019 until 28th January 2019 to: Bewerbungen@zalf.de.
The DFG-funded Research Training Group RTG 2118 ‘Integrating Biodiversity Research with Movement Ecology in Dynamic Agricultural Landscapes [BioMove]’ (Speaker: Prof. Dr. Florian Jeltsch) at the University of Potsdam (UP), the Freie Universität Berlin (FU), the Leibniz Institute for Zoo and Wildlife Research (IZW, Berlin), and the Leibniz Centre for Agricultural Landscape Research (ZALF, Müncheberg) offers several positions: