As part of the working group for Land Use Decisions in the Spatial and System Context, the research assistant will be primarily engaged in statistical data analyses for the transdisciplinary project ECO2SCAPE: Co-design of ecologically and economically efficient policy instruments and measures for conserving biodiversity and ecosystem services in cultural landscapes and other projects with similar thematic foci. This is a position to support scientific processes and output, as well as to contribute to an exchange with practitioners.
- analyzing interview, biodiversity and ecosystem service data
- extracting spatial land use data from land use maps (GIS or R)
- social-ecological network analysis
- structural equation modelling
- other multivariate analyses
- data and code (R) management
- writing up steps in statistical methods and summarizing results for scientific publications
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 57-2022 until June 20, 2023 to (see button e-mail application below).
If you have any questions, please do not hesitate to contact us: Maria Kernecker, Tel. +49 (0) 33432/82-448, or via email: firstname.lastname@example.org
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.