Candidates should have a track record of research in physical processes governing atmospheric, coastal, oceanic or terrestrial systems related to climate change. The ideal candidate will have expertise in the patterns and trends related to key climate indicators such as temperature, precipitation, sea-level rise, extreme weather; a demonstrated ability to collect and apply empirical data in the development of physical and mathematical models understand and predict climate impacts on local, regional, national and global social/environmental climate systems; and experience using remote sensing technologies , and/or geographic information systems (GIS). Candidates who use large datasets to assess environmental change and variability, and integrate physical data with chemical, biological, and social science data to support comprehensive climate risk assessments, are strongly encouraged to apply.
