Banner
working hours:
Fulltime
time limit:
limited until 3 Years
remuneration:
E13
start:
01.10.2025
application deadline:
until 2025-07-30
place of work:
Cottbus

We are a young and dynamic technical university in the heart of Lusatia, developing practical, science-based solutions to address major future challenges and global transformation processes.

Climate change and the loss of biodiversity are among the greatest and most urgent challenges of our time - and agricultural land use plays a central role in both crises. The newly established research group "MOTION-CB: Modelling Interactions for Sustainable Land Use Transformation - Climate Change and Biodiversity" (https://www.b-tu.de/en/ag-landschaftsoekonomie) investigates how the land use system can be transformed towards sustainability in the face of climate change.

As part of the project, two doctoral students and two postdocs work in an interdisciplinary team addressing key questions in land use transformation. The group provides a dynamic, collaborative and international work environment with extensive opportunities for scientific exchange - both within the group and with leading international scientists involved in the project.

The research group collaborates closely with the Chair of Environmental Economics with a strong focus on ecological-economic modelling, biodiversity conservation and climate change adaptation (https://www.b-tu.de/en/fg-umweltoekonomie). This offers further valuable opportunities for exchange with international doctoral students and postdocs.

In the "Economics of sustainable landscapes" group at the Faculty of Environment and Natural Sciences, the following position is to be filled:

Academic Staff Member (m/f/d) on integrated modelling of ecosystems under climate change

Task

Your area of responsibility includes in
particular:

Research tasks:

Scientific work in the project "MOTION-CB: Modelling lnteractions for Sustainable Land Use Transformation - Climate Change and Biodiversity", including:

  • developing spatial, ecological-economic models for the analysis of land use measures with a focus on synergies between biodiversity conservation and carbon storage, taking into account multiple objectives.
  • selecting suitable case studies taking into account data availability.
  • writing three scientific articles as the basis for a cumulative dissertation.
  • preparing the dissertation based on the research work conducted.
  • presenting and publishing research findings at conferences and in academic journals.
  • contributing to research-related administrative tasks.
Profile

Your requirements profile:

  • completed university degree (Masters degree / university diploma / equivalent) in a relevant field (ecology, environmental sciences, (applied) mathematics/ engineering, agricultural/ environmental economics with a focus on linear/ non-linear optimisation or modelling or similar)

The following knowledge is required:

  • fluency in written and spoken English
  • ability to work scientifically, independence, flexibility, teamwork and communication skills

The following knowledge is also an advantage:

  • strong analytical skills and experience in ecological-economic modelling and optimisation
  • experience in spatial data analysis and use of relevant software (e.g. packages dealing with raster/ vector data in R or Python, GIS software like QGIS or ArcGIS)
  • proficiency in relevant programming languages for data analysis and modelling (e.g. Python, R, Matlab, Julia, GAMS)
  • knowledge of ecology and environmental sciences, in particular the effects of climate change on biodiversity, measures for carbon storage
  • german language skills
Offer

What we offer!

  • excellent conditions for academic qualification and research
  • possibility of a research stay abroad for international networking and further academic training
  • 30 days of vacation and flexible, family-friendly working hours
  • option for remote work
  • job ticket for public transportation
  • comprehensive professional development and health programs
  • and much more

Take your chance and shape the future together with us!

Back to overview