01.11.2022

Research associate (m/f/d) Spatial Biodiversity Data and ESS modelling

Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg

The project MarginUp! (EU-Horizon CP6) aims at the development and introduction of new land use options for marginalised and low-productivity land which are climate-resilient and biodiversity-friendly and base on non-food crops for sustainable industrial feedstock. The EU wide consortia is going to identifying practices that secure land use and return profitability on abandoned/marginal lands is critical for combating soil scarcity and contributing to European policies such as the European Green Deal, Circular Economy action plan, and Bioeconomy and Biodiversity strategies. Research activities include the implementation of new landuse systems at 5 case studies across Europe and 3 international collaborative partners outside EU. Within the Project ZALF is leading one work packages which focuses at the monitoring, assessment and optimization of biodiversity and ecosystem services impacts of the proposed new land use options for marginal land based on data from the use cases. This work will be based on expert assessments and impact assessment methodologies.

We are offering a part time position (50%) from the 01.February 2023 till 30.11.2026 at our campus in Müncheberg as

Research associate “Spatial Biodiversity Data and ESS modelling”(f/m/d)

Your tasks:

  1. reviewing existing data on Biodiversity /ESS on marginal land across Europe
  2. development of a GIS platform/framework for handling Biotope/ Biodiversity data for 5 use cases all over Europe
  3. development of a GIS based ESS assessment tool related to predefined biodiversity driven ESS (nature conservation, pollination, self-regulation, etc.); data collection via questionnaires with regional partners/stakeholders
  4. reporting recommendations for the further optimization of cropping systems for industrial crops on marginal land regarding ESS supply and spatial arrangement
  5. presentation of research findings on national/international conferences and publication in peer-reviewed journals.

Your qualifications:

  1. Master (MSc) in Environmental Sciences, or related fields
  2. strong GIS skills, creating simple GIS based spatial assessment models
  3. knowledge in Ecosystem services assessments/ assessment tools
  4. strong organizational and communicative skills and sense of responsibility
  5. experience in presenting research findings on conferences and in scientific publications
  6. good command of the English language (spoken and written)
  7. ability to work in an international team

We offer:

  1. an interdisciplinary working environment that encourages independence and self-reliance
  2. classification according to the collective agreement of the federal states (TV-L) up to EG 12 or 13 (depending on your qualifications) (including special annual payment)
  3. a collegial and open-minded working atmosphere in a dynamic research institution

Women are particularly encouraged to apply. Applications from severely disabled persons with equal qualifications are favored. 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 128-2022 until 10 December 2022 to (see button e-mail application below).

https://jobs.zalf.de/jobposting/c610360c602f38a089612292d2571c11ac6445ab0

If you have any questions, please do not hesitate to contact us: Dr. Michael Glemnitz, mglemnitz(at)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.