The mission of the Leibniz Centre for Agricultural Landscape Research (ZALF) as a nationally and internationally active research institute is to deliver economically, environmentally 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 integrated project “Optimal N for future agricultural landscapes: digital technologies to optimize tradeoffs” 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.
Within sub-project 1, we aim to a) quantify small scale variability of N-transformation and –loss processes within new agricultural landscapes and to understand their driving factors and b) to incorporate soil N transformation and loss processes into a state of the art soil organic matter model in order to better understand and predict N availability and N losses. For this sub-project
Women are particularly encouraged to apply. Applications from severely disabled persons with equal qualifications are favored. Please send your application by e-mail (one PDF file, max. 5 MB) with a cover letter, CV, copy of your MSc degree, transcripts, the names and contact information for three references stating the reference number 83-2020 until December 15, 2020 to: Bewerbungen@zalf.de.
Dr. Maire Holz, Tel. +49 (0) 33432/82-127, email@example.com.
For cost reasons, application documents or extensive publications can only be returned if an adequately stamped envelope is attached. If you apply, we collect and process your personal data in accordance with Articles 5 and 6 of the EU GDPR only for the processing of your application and for purposes that result from possible future employment with the ZALF. Your data will be deleted after six months.