Doctoral Student in Climate Change

Organization

Wyss Academy for Nature

Deadline

Tuesday, August 31, 2021

Start Date

Wednesday, September 15, 2021

The Wyss Academy at the University of Bern is seeking a doctoral student to join the climate team led by Prof. Edouard Davin and embedded in the Wyss Academy for Nature. The successful candidate will undertake research investigating linkages between climate, biodiversity and land use by combining Earth System Modelling and data-driven approaches. The overarching goal will be to generate future projections of climate, land use and biodiversity changes with a focus on the Wyss Academy’s Regional Stewardship Hubs (Central Europe, Southeast Asia, South America and East Africa). Ultimately, this effort will help policymakers and local communities in these regions identify critical climate-related risks and design successful strategies to address these risks. The engagement platforms within each of these regional hubs will ensure that the knowledge gained will be made available to stakeholders, thus facilitating the emergence of innovative solutions to cope with climate change. The work will be partly based on Earth System Modelling and may include targeted model developments aiming at better representing Nature-Based Solutions such as biodiversity conservation and restoration measures, agroforestry and agroecological practices. An important other aspect of the research will be to leverage observations, remote sensing and statistical techniques as a way to strengthen model-based projections.

Your tasks:

  • Conduct a PhD in Climate Sciences with a focus on Sustainable Development
  • Use Earth System Models and integrate land use scenarios and Nature-Based Solutions
  • Leverage observations and data-driven approaches
  • Present your research at scientific conferences and publish results in international peer-reviewed journals

Your qualifications:

  • Master’s degree in Climate / Earth / Environmental sciences or a related field
  • Methodological skills in statistical analysis and/or climate modelling is a plus
  • Very good skills in English (oral and written) are necessary, knowledge of German, French or Spanish is a plus