Research Associate (Military ORSA) - SFRD
The Institute for Defense Analyses (IDA) is a federally funded research and development center that supports the Department of Defense (DoD) and other federal agencies with rigorous and objective analysis of national security issues. The Strategy, Forces and Resources Division (SFRD) performs interdisciplinary analyses of plans and policies related to national security strategy, including:
- Structure and capabilities of U.S., allied, and adversary forces
- Chemical, biological, radiological, and nuclear defense
- Organizational efficiency and management issues
- Economic and human capital challenges
- US industrial base and resource management
SFRD has an opening for a Research Associate (RA) to assist with quantitative analyses across this research portfolio.
RAs directly contribute to IDA research efforts as part of interdisciplinary research teams led by IDA Research Analysts. RAs perform information gathering; data cleaning, formatting, and manipulation; modeling, simulation, and analysis; and drafting of reports and presentations. They are expected to have demonstrated technical and analytic proficiency and be familiar with scientific and data processing software and techniques. RAs must communicate clearly and contribute effectively to team problem solving. As IDA’s research questions cover a wide range of topics, RAs must be adaptable and self-motivated, and exercise independent thought, sound judgment, conscientiousness, and creativity in analyzing complex policy problems. IDA research teams may travel to US government or US security partner field locations. RAs assist in the planning and coordination of these field research activities and will accompany research teams conducting field research, as individual projects require.
- Four to eight years of experience in the US Army is required.
- Bachelor’s and/or Master’s degree demonstrating a high level of academic achievement in a quantitative analytical discipline, such as applied mathematics, economics, statistics, operations research, or business administration or another highly quantitative discipline.
- Demonstrated ability to assemble and organize large, complex data sets for subsequent quantitative analyses using the software applications typical of the applicant’s academic discipline (such as R, Stata, MATLAB, Python, or SAS).
- Demonstrated ability to implement the models, macros, or analytical protocols typical of the applicant’s discipline in the relevant software.
- Experience or coursework in Bayesian statistics, optimization, and/or machine learning is a plus.
- Ability to communicate complex concepts simply and clearly in written and spoken contexts is essential.
- The ability and willingness to travel is required.
- A cover letter outlining interest in the position, and how skill set, experiences and education align with the defined responsibilities is desired. At later stages of the candidate evaluation process, candidates will be required to submit a copy of their transcripts, a writing sample and the names of three references whom we can contact.
- US Citizenship is required.
- Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information.