MS Assistantship in Biology at East Carolina University

A MS graduate student assistantship is available in the area of socioeconomic-ecological systems modeling. The student will work on an EPA-funded interdisciplinary project led by Dr. Jacob Hochard (Dept. of Economics & Institute for Coastal Science and Policy) in collaboration with Drs. Randall Etheridge (Dept. of Engineering & Center for Sustainability) and Ariane Peralta (Dept. of Biology) at East Carolina University. The MS student will work closely with economics, biology and engineering faculty at East Carolina University, as well as a PhD student in Coastal Resources Management. The qualified candidate will have strong undergraduate training in ecology, biogeochemistry, or environmental science. Ideally, the student will have some knowledge of GIS, hydrology, and biogeochemical processes. Candidates with an interest in interdisciplinary research and a familiarity or willingness to learn social-ecological modeling approaches are encouraged to apply. The project will be focused on modeling relationships between biophysical factors and water and air quality on human health outcomes to understand how natural capital can contribute to nutrient pollution mitigation in coastal watersheds. Visit www.peraltalab.com for more information.

To apply, please contact Drs. Ariane Peralta (peraltaa@ecu.edu) and Randall Etheridge (etheridgej15@ecu.edu) with your CV, unofficial transcript(s), GRE scores, and a short statement describing prior research experience and interests. Review of full applications to the MS biology program (http://www.ecu.edu/cs-cas/biology/BiologyGrad/index.cfm) will begin on February 15, 2017 and will continue until the position is filled.

The Departments of Biology, Economics, Engineering, Institute of Coastal Science and Policy, and the Center for Sustainability at East Carolina University take pride in the diversity of our students, faculty, and staff and strive to increase that diversity. We encourage applications and inquiries from members of groups underrepresented in the natural sciences.