A number of groups at ZALF use dynamic and system modelling approaches to explore options to make cropping systems more resilient and sustainable. Core activity include the development of models to assess cropping and farming systems’ response to their environment, weather, management and policy options; model development and application to support interpretation of experimental and observational evidence; and testing approaches to integrate different types of environmental and socio-economic models. In all of this work, we strive to adhere to FAIR data principles and insuring the reproducibility of our work.
Women are particularly encouraged to apply. Applications from severely disabled persons with equal qualifications are favored. It is generally possible to work in the position on a part-time basis. Please send your application preferably online (see button online application below). For e-mail applications, create a PDF document (one PDF file, max. 5 MB; packed PDF documents, archive files like zip, rar etc. Word documents cannot be processed and therefore cannot be considered!) with the usual documents, in particular CV, proof of qualification and certificates, stating the reference number 52-2023 until 30 May 2023 to (see button e-mail application below).
If you have any questions, please do not hesitate to contact us: Prof. Dr. Heidi Webber,
webber@zalf.de. or Michael Berg-Mohnicke,
Michael.Berg@zalf.de 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.