Research Assistants are essential members of the Resources for the Future (RFF) Research and Policy Engagement team. They are responsible for providing technical support that, under the direction of RFF Fellows, allows for the production of compelling and impactful research that aligns with RFF’s mission of improving environmental, energy and natural resource decisions through impartial economic research and policy engagement. Research Assistant typically serve two one-year appointments, with the option of being promoted to Senior Research Assistant at the conclusion of the second year. Promotions are contingent on performance and budget availability.
RFF’s research and engagement activities center on the economics of: (1) sectoral and economy-wide strategies for reducing emissions; (2) measuring environmental impacts and strategies for adaptation and resilience; and (3) cross-cutting issues and strategies. RFF seeks impact with decisionmakers in key venues, including at the federal, state, and international levels, and with the business community. Much of RFF’s current work is focused on strategies for addressing the climate challenge.
- Data collection, management, assembly, and analysis, potentially including use of spatial data
- Identifying, reviewing and synthesizing academic and policy literature
- Supporting quantitative and conceptual modeling
- Other miscellaneous tasks as assigned by researchers
- Specific projects may include evaluating potential roles for forest and land use in addressing climate change
NOTE: All applications MUST include a cover letter.
- Education: Bachelor’s Degree in a relevant field, including economics, engineering, mathematics, computer science, or natural sciences
- Experience: 0-1 years. Typical previous experience includes research assistantships while in college or internships with similar organizations or academic institutions
- Desirable Skills
- Knowledge of economics, quantitative methods, and statistics
- Experience in assembling, managing, manipulating and analyzing datasets
- Ability to conduct literature searchers, draft literature reviews and reports
- Experience with computational, statistical and/or GIS software programming, including Stata, R, Matlab, ArcGIS, and Python
- Interest in policy assessments that relate to the environment and natural resources