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NAEP Doctoral Student Intern (Summer 2025)

American Institutes for Research
United StatesRemoteinternshipVerifiedPosted 23 Jan 2025

About the role

Join AIR as a NAEP Doctoral Student Intern with our Education Statistics team. 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.

Please visit https://naep-research.airprojects.org/Explore-Opportunities/Internship-Program for more information about the internship topic areas.

 

Internship details:

  • Ten weeks starting June 2, 2025
  • 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.
  • This is a paid internship.
  • Interns will receive an AIR-issued laptop to complete project work.

Application process:

  • Apply online (detailed requirements below): 
  • Deadline: February 1, 2025

Candidates hired for the position may work remotely within the United States (U.S.) or from one of our U.S. office locations. This does not include U.S. territories. 

About AIR:

Established in 1946, with headquarters in Arlington, Virginia, AIR is a nonpartisan, not-for-profit institution that conducts behavioral and social science research and delivers technical assistance to solve some of the most urgent challenges in the U.S. and around the world. We advance evidence in the areas of education, health, the workforce, human services, and international development to create a better, more equitable world.

 

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. Examples of past projects can be found on our alumni page under each Intern Cohort at https://naep-research.airprojects.org/Explore-Opportunities/Internship-Alumni. Example opportunities include presentations to the NCES client and proposal submissions to research conferences.

Education, Knowledge, and Experience:

  • Must be a current doctoral student (for the duration of the internship) in educational measurement, statistics, information sciences, sociology, psychology, economics, computer science, or a related field
  • Have completed two years of coursework in a doctoral program or hold a master’s degree completed in a relevant field by the time of internship
  • 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

Skills:

  • Software skills:
    • Proven 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 R and creating data visualizations using the software, as well as familiarity with developing reports
    • Additional qualifications for artificial intelligence applicants: fam

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Company

American Institutes for Research

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