IDA hires recent college graduates at the bachelor’s, master’s and doctorate levels, and has multiple opportunities for early career professionals to make meaningful contributions to our mission. Whether your interest is in a position focused on research or business operations, you will play an important role in IDA’s overall effort to solve difficult and complex problems.
Search our Current Openings for full-time positions.
STPI Fellowship
The Science and Technology Policy Institute’s two-year fellowship provides recent bachelor’s or master’s degree recipients with a unique opportunity to use their critical thinking and analytic skills to work on a diverse set of challenges in science and technology (S&T) policy areas, including energy and the environment, space sciences, innovation and competitiveness, evaluation, life sciences, information technologies, national security, and STEM education. Fellows will be involved in collaborative research for leaders in the Office of Science and Technology Policy (OSTP) in the Executive Office of the President and other Federal Government organizations, such as the National Science Foundation and the National Institutes of Health.
Applications are accepted each year beginning in the fall, and selections are made in the spring of the following year.
Learn more about the STPI Fellowship.
Data Science Fellowship
The IDA Data Science Fellowship provides recent graduates a unique opportunity to develop and apply data science skills to important issues in national security. The fellowship is a project-based learning experience within a variety of research areas. In a collaborative team environment, fellows perform data manipulation and statistical, econometric, predictive, descriptive, and other quantitative analyses to help answer important sponsor-funded research questions as well as internal-funded business operations questions. In the course of research, fellows will apply advanced data science tools, possibly including machine learning, artificial intelligence, statistics, or various big data methodologies. Fellows should expect to learn while using their critical thinking, creativity, and analytic skills to contribute to interdisciplinary project teams.