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). The institute also maintains locations in Dedelow and Paulinenaue.
The position will be based in the Research Platform “Data Analysis and Simulation“ within the Working Group “Ecosystem Modelling“. The role aims to support PhD candidate’s supervision, contribute to large-scale modeling initiatives such as AgMIP, and assist in developing new proposals for climate change impact assessments, with a focus on compound abiotic stresses.
We offer a full-time position (40h per week) limited for 24 months at our location in Müncheberg as Postdoc (f/m/d).
Women are particularly encouraged to apply. Applications from severely disabled persons with equal qualifications are favored. The filling of the position in part-time is possible in principle. Please send your application preferably online. 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 95-2024 until 15th November 2024.
https://jobs.zalf.de/jobposting/d217f53bbd0f774133d0402d083f82727213c4620
If you have any questions, please do not hesitate to contact us: Dr. Ehsan Eyshi Rezaei, Tel. +49 (0) 33432/82-334.
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.
ID: 188616