A Ph.D. position is available to join a transdisciplinary team focused on measuring the impact of beaver rewilding for ecosystem restoration. In particular, the student will use time-series satellite data and social-ecological modeling to monitor the mesic resource restoration process associated with beaver rewilding interventions across the entire western US. Mesic resources, i.e. wetlands, riparian zones and wet meadows, are critical keystone resources for agricultural production, biodiversity, and ecosystem services in the West. The student will develop new metrics from remotely sensed datasets to measure the outcomes of beaver rewilding in terms of ecosystem restoration and the ecosystem services that mesic resources provide.
Full advertisement can be found here: https://www.boisestate.edu/hes/students/ph-d-position-beaver-rewilding/
We are seeking a student with expertise in data science, remote sensing, spatial analysis, hydrology, and/or modeling. Because the analyses will be performed at the scale of the entire western U.S., the student must have strong computational training and the desire to further develop their expertise in data science, remote sensing, and programming. Stakeholder engagement is also an important part of the project, so experience with, and/or a desire to gain, transdisciplinary, actionable science skills is also required. Competitive students will have a Master’s degree and research or job experience related to the topics above.