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.

ZALF's research is addressed in three program areas and a research platform. The Impact Assessment of Land Use Change research group analyses changes in agricultural landscapes, their value for people and their impacts for sustainable development. As a consortium partner in the "SoilWise" collaborative project, funded by the HORIZON Europe Soil Mission, we are committed to enhancing knowledge management strategies and data reuse in the field of landscape and soil research data. This involves the expansion and further improvement of our interactive overview map and meta-information of Agricultural Long-Term Field Experiments (LTE) to promote LTE data reusability to offer valuable insights to the LTE community.

We are seeking a skilled and motivated postdoctoral researcher with expertise in agriculture and/or environmental sciences to join our dynamic research team. The ideal candidate is desired to have expertise in data interpretation and reuse, combined with an understanding of agricultural and soil experimental systems. The successful candidate will play a crucial role in enhancing our LTE (meta)database, improving the interactive overview map, and conducting advanced statistical and spatial analyses to support ongoing research on LTE (meta)data reusability in transforming complex datasets into meaningful insights that drive sustainability and support our ongoing studies on LTE (meta)data reusability.

We are offering a full-time position of initially up to one year starting as soon as possible, for a

• expanding and improving our LTE (meta)database and overview map to enhance data accessibility, usability, and integration
• conducting advanced statistical and geospatial analyses on experimental data and agroclimatic indicators to support our data reuse studies
•   identifying and curating relevant spatial and experimental datasets to derive meaningful insights for cross-disciplinary applications
•   developing and presenting clear, impactful narratives that demonstrate the value and functionality of data repositories as part of the SoilWise project
•   supporting the development of knowledge management strategies to optimize the functionality and impact of our data platforms for effective data reuse
•   contributing high-quality scientific publications in peer-reviewed journals

•   PhD degree in agriculture, environmental science, or related subjects
•   expertise in geospatial and/or experimental data analysis and related techniques, with a focus on deriving actionable insights from complex experimental and spatial datasets
•   experience in long-term experimental systems, particularly in agricultural or environmental contexts
•   experience any programming language (mainly R, Python, and/or MATLAB) is a plus
•   proven ability to write scientific papers for publication in peer-reviewed journals, with excellent written and oral communication skills in English
•   ability to work both independently and collaboratively in a fast-paced research environment
•   flexibility and willingness to grasp new interdisciplinary topics

•   salary according to German public service remuneration grade table (TV-L) up to E13
•   the opportunity to gain experience in the above-mentioned research fields
•   an interdisciplinary research environment
•   work in the exciting field of applied environmental science at a renowned, non-university research institute
•   very good publication opportunities to advance your academic career
•   flexible working hours including home office partly and a friendly working environment in the team

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 (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 a short cover letter, CV, proof of qualification, diplomas and transcripts, stating the reference number 101-2024 until 10 December 2024 to (see button e-mail application below).

If you have any questions, please do not hesitate to contact Prof. Dr. Cenk Dönmez (cenk.doenmez@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.