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The University of Georgia, Athens, GA, seeks a Graduate Research Assistant (DISES) to support data analysis and publication writing for a transdisciplinary NSF-DISES project. The role emphasizes strong collaboration with a diverse team and the ability to handle social science data and interviews.
The ideal candidate will be fluent in French and English, skilled in Atlas.ti, and capable of independent work with mentorship from project collaborators.
The University of Georgia is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, genetic information, national origin, race, religion, sex, or veteran status or other protected status. Persons needing accommodations or assistance with the accessibility of materials related to this search are encouraged to contact Central HR hrweb@uga.edu.
The University System of Georgia is comprised of our 25 institutions of higher education and learning, as well the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 08.02.18.01.02.
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.