We seek an ecologist to conduct spatiotemporal statistical analysis of ecological data, including physical and biological aspects of rainforest ecosystems and biodiverse species assemblages using thermal landscape modelling to predict resilience to climate change. The study site is an elevational transect from 280m to 4000m in the interface of the eastern Andes and lowland Amazon in southeastern Peru. This is a two-year post-doc level position with possibilities for extension. The successful candidate will analyze large, complex spatial and spatiotemporal ecological and genomic data sets. The individual should have a PhD in quantitative ecology by the start of employment. We expect experience publishing scientific papers in quantitative ecology. Applicants must have proficiency with programming, spatial analysis and statistics in GIS and R, and be able to develop and implement statistical models using both Bayesian and frequentist methods, be able to work with large data sets and co...