The successful candidate will join an transdisciplinary research team that analyzes two main questions: (i) How can paleoclimatic and instrumental records improve our mechanistic understanding of the climate system and inform climate predictions? (ii) How can this scientific information be used to improve the design of climate-risk management strategies? The ideal candidate will have a strong quantitative background (e.g., applied mathematics, Bayesian statistics, or physics) and some prior exposure to Earth system science. The candidate will have considerable freedom to collaboratively design the research within the scope of the broad questions outlined above. Possible example projects include the analysis of current uncertainties surrounding climate projections, strategies on how to reduce these uncertainties, and how to design robust climate change mitigation and adaptation strategies in the face of deep uncertainty and learning.

For more information, please contact Dr. Klaus Keller ( To apply, visit