PhD position: Constraining historical and future estimates of land cover and land management effects on climate
ETH Zurich, Switzerland
Closing date: 11 October 2019
ETH Zurich and the Joint Research Centre (JRC) of the European Commission are inviting applications for PhD positions through the Collaborative Doctoral Partnership (CDP) scheme.
Land use and land cover change (LULCC) is one of the major global environmental perturbations brought about by human activities, but there is still a lack of consensus regarding its climate impacts at various scales. New observational datasets of surface climate’s sensitivity to LULCC offer an unprecedented opportunity to evaluate climate model results and reduce their associated uncertainties. The PhD work will combine climate model simulations with observation-based products with the aim of constraining historical and future estimates of land cover/management effects on climate, with a focus on biogeophysical processes, in particular water exchanges. The newly available simulations of the Land Use Model Intercomparison Project (LUMIP)/Coupled Model Intercomparison Project (CMIP6), the basis for the next Intergovernmental Panel on Climate Change (IPCC) assessment report, will be evaluated using remote sensing products, FLUXNET and other available observations. In addition to the analysis of LUMIP/CMIP6 simulations, the Community Land Model, an advanced land surface model used in LUMIP/CMIP6, will also be used to test specific hypotheses and explore the option space for future sustainable land management.
- You have (or are near completion of) a Master in Climate Sciences, Earth Sciences, Environmental Sciences, Geography or a related field.
- You have a strong interest in combining data science and process-based modelling to solve pressing environmental issues.
- Experience with modelling or the spatial analysis of large-scale datasets is an asset.
- You work proactively and independently and have good communication skills.
- You have a very good knowledge of English, both spoken and written.
- Relevant publications in peer review journals should be highlighted.
Find more information on the website of the ETH.