PhD and Masters Graduate Assistantships- Environmental Social Science

  • NCSU College of Natural Resources
  • Raleigh, NC, United States
  • Dec 29, 2016
Graduate Assistant/Fellowship Biology/Ecology Communication/Public Outreach Cultural Resources Sustainability

Job Description

Research Area 1: Urban Environmental Equity
The successful student will work with geographers, landscape ecologists, and environmental social scientists to integrate large-scale datasets with qualitative data to answer questions about the role of environmental justice in sustainability and greening initiatives that occur through changes in property management, social norms, and/or changes in policy and policy enforcement. Students will be expected to draw from a range of quantitative and qualitative methods that may include social network analysis, remote sensing, video-based interviews and/or participatory GIS. Applicants with an interest in building technological and participatory mapping expertise that aligns with the Center for Geospatial Analytics are especially welcome.

Research Area 2: Social Dimensions of Restoration and Ecosystem Services
The successful student will work with social scientists and ecologists to integrate social and ecological datasets to improve understanding of the social dimensions of restoration activities in diverse landscapes. Working with stakeholders, decision-makers, and collaborators in places that may include New Mexico, North Carolina, and/or California, the student will be expected to develop a research project that contributes new theoretical and applied knowledge that helps understand how people enact collective strategies to adapt to or mitigate against irreversible transitions in human-nature relations. Students will be expected to draw from a range of quantitative and qualitative methods that may include social network analysis, GIS, and immersive geospatial technologies. Applicants with an interest in building technological and participatory mapping expertise that aligns with the Center for Geospatial Analytics are especially welcome.


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