The US Geological Survey (USGS) is seeking an ecologist with excellent quantitative skills to join a productive research team working on ecological forecast modeling for Everglades restoration planning. Restoration plan selection entails understanding complex ecological interactions driven by hydrology and forecasting how restoration actions taken might impact ecological systems. Our research group develops ecological forecast models and decision support tools used by federal and state partners for Everglades restoration planning.
The position requires formal education and experience in ecology, geography, conservation biology, or related fields. Applicants should have experience with quantitative modeling, analysis, and have geospatial skills. Applicants must have excellent written and verbal communication skills and be able to work in an interdisciplinary research environment. This project is a cooperative venture between the USGS and the National Park Service. Applicants must be able to work well with scientists and natural resource managers as part of a team. The incumbent will develop joint or integrated models from existing ecological models previously developed for use in the Everglades. One potential approach would be to develop spatially-explicit joint species distribution models in a Bayesian framework; however, alternative approaches will be considered depending on the skill set and interests of the incumbent. Applicants should have experience with the statistical program R, SAS, Bayesian software JAGS or STAN, or other functionally equivalent programs. The incumbent will be expected to publish this work in the peer-reviewed literature. A PhD is preferred, though quantitative modeling experience and publication experience could be an acceptable substitute. Salary for the position is approximately $63,000 per year and includes a benefits package. The position will be filled through Cherokee Nation Technologies, who provides contract position support to the USGS. The project is funded for two years. Additional years are contingent on continued funding and successful performance. Applicants must be eligible to work in the United States and be able to pass a federal background check. Applications will be reviewed in early January and interviews will continue until the position is filled. Please send letter of interest, CV, and contact information for three, professional references to Dr. Stephanie Romañach, [email protected]. Please list “integrated models post-doc” in the subject line.
