Postdoctoral Researcher in quantitative Environmental Sciences


Karlsruhe Institute of Technology (KIT)


Friday, December 2, 2022

Start Date

Monday, April 3, 2023


We are seeking to appoint a Postdoctoral Researcher in quantitative Environmental Sciences to work within the European Commission funded wildE project (climate-smart rewilding: ecological restoration for climate change mitigation, adaptation and biodiversity support in Europe – see annex). The successful applicant will contribute to research on the impacts of environmental and policy change on land use and ecosystems, including biodiversity at large spatial scales (National to European scale). You will contribute to the further development and application of the CRAFTY agent-based model ( within the LandSyMM modelling framework ( with a focus on evaluating the opportunity costs associated with rewilding in Europe along with other environmental trade-offs and co-benefits. The position entails contributions to project management and reporting, and some teaching.

The position will be held within the Land Use Change & Climate Research Group ( of the Karlsruhe Institute of Technology (KIT), located at KIT’s attractive ‘Campus Alpin’ in Garmisch-Partenkirchen, Germany. You will be welcomed into a multi‐disciplinary, highly collaborative and friendly team, well connected to national and international research networks and activities. Salaries will range from €48,892 to €55,430 gross per annum depending on qualifications and experience based on the Collective Agreement for the German Public Service Sector (TV-L EG13, St. 1-3). The position is available from April 2023 for an initial 2-year period that may be extended by a further year.


You will have a PhD degree in a relevant discipline such as environmental sciences, geo-ecology, meteorology, geography, ecology, ecological economics, computational social sciences, mathematics and informatics. You will also have:

  1. strong quantitative skills in environmental modelling and preferably computer programming experience (e.g., Java, C, C++, Python);
  2. and/or environmental data science and statistical analysis;
  3. and/or experience with scenario analysis, environmental policy analysis and ecosystem assessment.

You will need to have proficiency in the English language, both spoken and in writing. Willingness to travel to interact with consortia partners is required. Further information can be obtained from Prof. Mark Rounsevell (


Applications should be sent by email to Sylvia Kratz ( by Friday 2 December 2022quoting the reference, wildE_PD. Applications should be submitted within a single PDF document that includes your CV, publications list (with citations), a short (1-2 page) letter of motivation and contact details for 2 referees. The motivation letter should clearly state a) your skills and experience in quantitative environmental sciences, and b) how your research interests relate to the job specification and description of the wildE project. Please also indicate where you heard about this job opportunity. Applications that are incomplete or do not address these criteria will not be considered.

Interviews will be held remotely during the week of 19 December 2022.

Contact Name

Sylvia Kratz

Contact Email