Graduate Research Assistant (DISES)

Chartered by the state of Georgia in 1785, the University of Georgia is the birthplace of public higher education in America and is the state's flagship university (https://www.uga.edu/). The proof is in our more than 240 years of academic and professional achievements and our continual commitment to higher education. UGA is currently ranked among the top 20 public universities in U.S. News & World Report. The University's main campus is located in Athens, approximately 65 miles northeast of Atlanta, with extended campuses in Atlanta, Griffin, Gwinnett, and Tifton. UGA employs approximately 3,100 faculty and more than 7,700 full-time staff. The University's enrollment exceeds 41,000 students including over 31,000 undergraduates and over 10,000 graduate and professional students. Academic programs reside in 19 schools and colleges, including our newly established School of Medicine.

This transdisciplinary project, funded by NSF's Dynamics of Integrated Socio-Environmental Systems ( DISES) program, examines linkages between climate change, land management, landscape, and policy to understand how to sustain small-scale pastoral systems in the French Pyrenees. Pastoral systems cover nearly 60% of the global landmass, and sustaining them is critical to both human livelihoods and ecosystem services.

You can learn more about the research and research team our website.

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Additionally, USG supports Freedom of Expression as stated in Board Policy 06.05 Freedom of Expression and Academic Freedom.

We are currently in the fourth year of the project and have transcripts for more than 100 interviews conducted with farmers, policymakers, and other important actors in this system. We seek a GRA who can assist with data analysis and publication writing. The ideal candidate will possess outstanding written and oral communication skills in both French and English, have experience collaborating or working as part of a team, and have experience analyzing social science data in Atlas.ti. Candidates with limited experience analyzing social science data and/or using Atlas.ti will be considered. Candidates must be self-motivated and able to work independently, with strong mentorship from project collaborators.