What to ExpectFellows will have an opportunity to work research questions in areas such as:
- Appraisal of current DoD investments in a broad range of areas: from human factors to autonomous systems, from materials science to nuclear weapons effects, from social behaviors to quantum computing;
- Analyze and research questions on DoD personnel, military readiness and efficacy, and organizational efficiency topics;
- Assessment of federal agency information and computing architectures that support data science applications (i.e., large, distributed data sets and computational assets);
Application of data exploration, text analytics, forecasting, statistical inference, simulation to areas of military personnel, manpower, and acquisition of DOD weapon systems.Some experiences will include:
- Involvement in workshops and discussions on relevant topics
- Mentorship from members of the IDA research staff
- Training on specific analytical methods and tools
- Attendance and presentation at select professional society meetings
Who Should Apply?
This is a full time position and is only open to recent recipients of a bachelor’s or master’s degree. Individuals with degrees higher than a master’s degree are not eligible to apply.
- Candidates must have at least a bachelor’s degree.
- Candidate with Bachelor’s degree or Masters’ degree in economics, statistics, operations research, mathematics, physics, computer science, data science, or related disciplines with a strong foundation in statistics and/or applied mathematics are encouraged to apply.
- Candidates must demonstrate experience with one or more programming language or statistical software used in research (e.g., Python, R, Julia, Stata, MATLAB, C, Java, etc.)
- Candidates must demonstrate strong written and oral communication skills. Ideal candidates are able to contribute to and support team efforts.
- Training and/or experience in quantitative or qualitative information collection, data normalization, and text analytics
- Experience as a research assistant in an academic or policy research setting
- Experience or coursework in Bayesian statistics, machine learning, predictive analytics, and/or geospatial analyses
- Experience with GPU, high-throughput, and/or distributed computing
IDA will be accepting applications starting September 1, 2021 and must be received no later than January 7, 2022. Please check back in September to access the application link for the Data Science Fellowship program.