We are seeking a quantitative ecologist with solid Bayesian modeling skills and interest in translating complex models to inform decision making and policy makers.

Research Fellowship in Quantitative Ecology

Primary objectives of the fellowship are:
• Operationalize, and where needed improve, previously developed Bayesian spatio-temporal feral swine abundance model allowing predictions to be generated quickly and regularly
• Modify model(s) that support risk-based targeted surveillance of FADs in feral swine to enable surveillance priorities to be generated quickly and at regular intervals based on changing risks
• Develop Bayesian statistical approaches to integrate diverse information and build analytic tools in support of operational objectives – specifically efforts to reduce impacts of feral swine on U.S. animal agriculture
• Collaborate with subject matter experts and decision makers to ensure analytical tools are developed in a way that meets program needs
• Participate in professional shadowing experiences or short details to enhance knowledge and skills in disease risk modeling and application to support programmatic decisions and policy