Prospective students

I welcome applications from graduate students wishing to join the Department of Environment and Society in our graduate degrees in Geography (MS), Environment and Society (MS & PhD) or Ecology (MS & PhD). Applicants must meet minimum admission requirements for the Department of Environment and Society. Prior research experience with R, GIS software, and survey data is helpful for students joining my lab.

Students should apply by February 1 for consideration. Earlier applications are helpful for full consideration for financial support. Information for prospective students in the Department of Environment and Society.

Funded research assistantships available beginning Fall 2019

Two NSF-funded graduate research assistantships are available with Dr. Peter Howe in the Department of Environment and Society at Utah State University for prospective MS or PhD students. The graduate RA will work on an NSF-funded project focusing on public perceptions of climate change, adaptation behavior, and geovisualization. The project will develop and validate methods to model dynamic geographic patterns in public perceptions, attitudes, and behaviors in the context of climate change adaptation.

Prior research experience with R, GIS software, and survey data analysis is strongly preferred. Candidates should also have strong communication skills. Interest in interdisciplinary research focused on climate change adaptation that integrates social and environmental sciences is also preferred. Prospective students may also apply to a new NSF-funded graduate research traineeship program in Climate Adaptation Science at USU.

Funded research assistantship opportunities are competitive. Highly qualified prospective PhD students may also be considered for selective University fellowships.

To inquire about joining the lab, contact me at peter.howe[at] Inquiries that describe your research interests and provide a CV, unofficial transcript, and GRE scores are most helpful to give me sufficient information about your background.