The ideal candidate should have a strong background in data analysis and statistics (analysis of probability distribution functions, uncertainties, etc.) and be familiar with the management of large datasets. He/she should have basic knowledge of climate dynamics, climate change and the associated impacts. Some knowledge and preliminary understanding of numerical modelling can be an added value.

The activities will be carried out in the CARISMA group at IUSS Pavia, in close collaboration with the CNR-ISAC in Bologna.The CARISMA team is composed by STEM and Social scientists working in the prism of climate change on: data analysis and modelling of Earth system and economic system processes; impact assessment of extreme natural events and anthropogenic activities on human and natural environments; risk management of natural and anthropogenic hazards; formulation and proposal of new economic, political and legal models of sustainable development.The Institute of Atmospheric Science and Climate of the National Research Council of Italy (CNR-ISAC) aims at the understanding of the atmosphere, climate and Earth system sciences in a multidisciplinary approach. One of its main research areas, CAMEO (climate and meteorology, modelling and earth observations) combines theoretical, experimental and numerical applications for climate variability and predictability/predictions, from sub-seasonal to multi-annual timescale, on diverse spatial scales (from global large-scale to individual meteorological events).IUSS and ISAC-CNR are actively committed towards internationalisation, inclusion and diversity.