
We are looking for a post-doctoral researcher to develop the applied study of human cultural adaptation. Prior research on human cultural adaptation has been largely theoretical (see Fogarty and Kandler, 2020). This project will develop specific estimates of the process and strength of cultural adaptation in an applied context. We are seeking a PhD researcher with a strong quantitative background in biology, evolution, or social science, and previous experience in mathematical modeling and/or behavioral experimentation.
Study system: Forest management is a multidimensional challenge. Rural forest owners have many goals including managing invasive plants and reducing populations of disease-carrying ticks. In addition, rural populations are sparse, and opportunities to learn the best approaches directly, or from others, are seasonal and rare. These factors make cultural adaptation more difficult. The project will seek to estimate the strength of cultural adaptation in rural populations in the complex environment of forest management in the Northeastern United States, especially Maine and Vermont.
Approaches: The project will use model-based estimation, surveys and behavioral experiments to estimate the likelihood or strength of cultural adaptation in the study system, with relevance for policy intervention.
Purpose: Complete a multi-method study of human cultural adaptation to environmental challenges with application to invasive plants and tick-borne disease threats among woodland owners with supervision from Dr. Waring and in collaboration with Dr. Gardner, and Dr. Leahy, and the project team.
Position: The position is for 2 years, contingent on successful performance and funding. The target start date is September 1, 2025, or as soon as practicable. The salary range for this position is $45,000 to $48,000 commensurate with qualifications and experience. The position is part of a 5 year National Science Foundation project.
Apply here: Postdoctoral Research Associate
Application deadline: 4:30 p.m. EST on July 11, 2025.
Contact: Dr. Tim Waring (timothy.waring@maine.edu)