Huriot — NAEP Doctoral Student Intern (Summer 2023) at American Institutes for Research

NAEP Doctoral Student Intern (Summer 2023)

American Institutes for Research

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Role Details

AIR is seeking Doctoral Student Researcher Interns, under our 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 virutal internship program, interns will work directly with researchers from the National Center for Education Statistics (NCES) and the American Institutes for Research (AIR) on the following research topic areas:

  • Psychometrics & Statistical Methods

  • Process Data

  • Policy-relevant Research, and

  • Re-envisioning Quantitative Information (Data Visualization).

Through collaborative engagement in project work, interns will gain technical skills and knowledge from experts in the fields and contribute to advancing methodological developments and secondary analysis using NAEP.

Internship Details:

  • Ten weeks starting June 1, 2023.

  • The 2023 NAEP Doctoral Student Internship Program will be a virtual program. Interns are allowed to work remotely within the U.S.

  • Interns will receive an AIR-issued laptop to complete project work.

  • This is a paid internship.

Application Process:

  • A cover letter to express applicant’s interest and qualifications for a primary and secondary research topic areas.

  • Application Deadline: January 20, 2023

  • Notification Date: Candidates selected for an internview will hear from us no later than February 28, 2023.

Please visit for more information about the program.

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.

AIR’s commitment to diversity goes beyond legal compliance to its full integration in our strategy, operations, and work environment. At AIR, we define diversity broadly, considering everyone’s unique life and community experiences. We believe that embracing diverse perspectives, abilities/disabilities, racial/ethnic and cultural backgrounds, styles, ages, genders, gender identities and expressions, education backgrounds, and life stories drives innovation and employee engagement. Learn more about AIR's Diversity, Equity, and Inclusion Strategy and hear from our staff by clicking here.

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 Example opportunities include presentations to the NCES client and proposal submissions to research conferences.

Education, Knowledge, and Experience:

  • Currently enrolled in Ph.D. program in educational measurement, statistics, information science, sociology, psychology, economics, computer science, or 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 related field.

  • Experience with applying advanced statistical and/or psychometric methods.

  • Knowledge of item response theory (IRT) and/or sampling theory.

  • Experience analyzing data from large-scale surveys and assessment data with complex sampling design is an asset.

  • Strong organizational and interpersonal skills.

  • Software skills requirements:

  • For applicants to the Policy-relevant Research, Process Data, and Psychometrics & Statistical Methods research topic areas: demonstrable advanced experience with statistical software such as, but not limited to, Mplus, Python, R, and Stata.

  • For applicants to the Re-envisioning Quantitative Information (Data Visualization) topic area: demonstrable advanced experience with software such as, but not limited to, D3.js, Nivo, Python, R, React-Vis, Shiny, and Tableau.


AIR requires all new hires to be fully vaccinated against COVID-19 or receive a legally required exemption from AIR, as a condition of employment. AIR will ask candidates to verify their vaccination status only after a conditional offer of employment is made. Applicants should not provide information about their vaccination status or need for exemption prior to receiving a conditional offer of employment from AIR.

All qualified applicants will receive consideration for employment without discrimination on the basis of age, race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability.

AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo rigorous reference and background checks.

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ID: 12557

American Institutes for Research provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

  • Published on: Dec 17, 2022
  • Employment Type: Full Time
  • Job Location: Remote, USA
  • Salary: negotiable
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