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NAEP Doctoral Student Internship Program

The mission of the NAEP Doctoral Student Internship Program is to support current doctoral students by providing an opportunity to engage in methodological developments and secondary analysis using data from the National Assessment of Educational Progress (NAEP). During the 10-week internship program, interns will work directly with researchers from the National Center for Education Statistics (NCES) and the American Institutes for Research (AIR) on research in topic areas such as psychometrics and statistical methods, process data, policy-relevant research, re-envisioning quantitative information (data visualization), and artificial intelligence. Doctoral interns will collaborate with teams on client-based projects and gain technical skills and knowledge in the field of large-scale assessment.

Meet the NAEP Doctoral Student Internship Alumni here.

Topic areas

Click below to read more about each internship topic area:

Qualifications

  • Strong organizational and interpersonal skills
  • Current doctoral student in educational measurement, statistics, information sciences, sociology, psychology, economics, computer science, or a related field
  • Current doctoral student that has completed two years of coursework in a Ph.D. program OR current doctoral student with a previously completed master’s degree in educational measurement, statistics, information science, sociology, psychology, economics, computer science, or a related field
  • Experience with applying advanced statistical and/or psychometric methods
  • Experience analyzing data from large-scale surveys and assessment data with complex sampling design is an asset
  • Software skills requirements:
    • Sophisticated experience with statistical software such as, but not limited to, Mplus, Python, R, and Stata
    • Additional qualifications for re-envisioning quantitative information applicants: demonstrable advanced experience with D3.js, Nivo, React-Vis, Shiny, Tableau, etc.
    • Additional qualifications for artificial intelligence applicants: familiarity with generative models like transformers (e.g., GPT-4, Llama 2) and cloud services, good understanding of ethical AI principles, and experience with NLP and computer vision (preferred but not required)

Additional application requirements

  • A cover letter should be included with the initial application to express the applicant’s interest and qualifications for a primary and secondary area.
  • Only candidates selected for an interview will be asked to provide a writing sample and a letter of recommendation at a later date.
  • Candidates should expect to demonstrate their stated coding and analytical skills during the selection process.

Responsibilities

The doctoral student interns will contribute to the development of statistical methods and substantive knowledge about education that inform the discussion, debate, and planning of decision-makers at national, state, and local levels. Specific research topics and project assignments will be based on a consideration of applicants’ skills and interests as well as NCES’s priorities. Example opportunities include presentations to the NCES client and proposal submissions to research conferences.

Internship details

  • The 2024 NAEP Doctoral Student Internship Program will take place over 10 weeks starting early June.
  • The internship will be a remote program with one travel experience to Arlington, VA within the first week of the internship for onboarding and training. Additional travel may occur towards the end of the summer. All travel and lodging expenses will be fully covered by the program.
  • Interns are allowed to work remotely within the United States.
  • Interns will receive an AIR-issued laptop to complete project work.
  • This is a paid internship.

Application process