ETS accepting applications for Internship and Fellowship Programs

ETS’s Research & Development (R&D) division is now accepting applications for the 2019 ETS Internship and Fellowship Programs.

We are seeking graduate students enrolled in a doctoral program and early career scientists who are interested in research opportunities in the field of educational research, assessment or related fields. Areas of emphasis include the following:

  • career and technical education
  • cognitive psychology
  • cognitive science
  • learning sciences
  • linguistics, second language learning and teaching English as a foreign language
  • natural language processing and computational linguistics
  • noncognitive measures
  • process data modeling and analysis
  • psychometrics
  • speech recognition and processing
  • statistics
  • teaching and classroom research
  • validity and fairness

Summer Internship Program in Research for Graduate Students

Application Deadline: February 1, 2019

This program focuses on major research activities that will occur in 2019. Selected interns conduct research under the guidance of mentors at ETS offices in Princeton, N.J. Graduate students who are currently enrolled in full-time doctoral programs in the areas listed above and who have completed a minimum of two years of coursework toward their Ph.D. or Ed.D. prior to the program start date are eligible to apply.

Harold Gulliksen Psychometric Research Fellowship Program

Application Deadlines: December 28, 2018 (preliminary) and February 15, 2019 (final)

This program seeks graduate students who have completed their doctoral coursework and are at the dissertation stage of their program, working on a dissertation related to statistics, psychometrics, educational/psychological measurement or quantitative methods. Selected fellows study at their universities and carry out research under the supervision of an academic mentor and in consultation with an ETS researcher or psychometrician.

Postdoctoral Fellowship Program

Application Deadlines: February 1, 2019 (preliminary) and March 15, 2019 (final)

This program provides opportunities for early career scholars to work with ETS researchers on a variety of cutting-edge topics, including foundational research as well as research embedded in real-world testing programs. Selected fellows work on research projects and conduct independent research that is relevant to ETS’s goals under the mentorship of research scientists or psychometricians in Princeton, N.J. Candidates must have received their doctorate within the past three years. This year, we are seeking applications in the following areas of expertise: measurement, psychometrics and statistics; process data modeling and analysis; and artificial intelligence.

Please take a moment to consider which qualified individuals would benefit from these opportunities and encourage them to apply. Share this information with your colleagues; complete program details and application instructions are available. Visit our website to get started.

If you have any questions about the programs, please send an email to For information, newsletters, research reports and more, join our mailing list.

Thank you in advance for your assistance and support of these programs.



Fall Data Science Fellowship Opportunity – R1

Program: The Data Incubator is an intensive 8 week fellowship that prepares masters students, PhDs, and postdocs in STEM and social science fields seeking industry careers as data scientists. The program is free for Fellows and supported by sponsorships from hundreds of employers across multiple industries. In response to the overwhelming interest in our earlier sessions, we will be holding another fellowship.

Who Should Apply: Anyone who has already obtained a masters or PhD degree or who is within one year of graduating with a masters or PhD is welcome to apply. Applications from international students are welcome. Everyone else is encouraged to sign-up for a future session.

Locations: In addition to the below in-person locations, we will have a remote online session:

  • New York City
  • San Francisco Bay Area
  • Boston
  • Washington, DC.

Dates: All sections will be from 2018-09-10 to 2018-11-02.

Application Link:

Data Science in 30 minutes: Learn how to build a data-science project in our upcoming free Data Science in 30-minutes webcast. Signup soon as space is limited.

Learn More: You can learn about our fellows at The New York Times, LinkedIn, Amazon, Capital One, or Palantir. To read about our latest fellow alumni, check out our blog. To learn more about The Data Incubator, check us out on Venture Beat, The Next Web, or Harvard Business Review.

Master’s Level Clinical Internship Opportunity

There is a great Master’s level clinical internship available at Perception House in Willimantic, CT! Perception House is a 4-8 month residential treatment program that serves adult men and women with co-occurring disorders.

The internship would provide clinical experience for those looking to work in the mental health field, specifically with a population that includes substance abuse and forensic clients. The internship will provide experience with observing and conducting intakes, planning and leading groups, helping with documentation, conducting individual sessions with clients, learning how to complete referrals and seek out case management information, and more!

The program requires the following schedule commitments:

  • Candidates must have availability of Mondays 10am-6pm and be able to work 15-20 hours throughout the week.
  • Candidates will be responsible for facilitating clinical groups. Groups follow a time-frame of 10-11:30am and 2:30-4:00pm.
  • Candidates will be responsible for a case load of 1-3 clients.

Our deadline to submit resumes is August 25, 2017 and we hope to have the position begin on or before September 11, 2017.

Additionally, any intern that is accepted for the position will be required to submit a PPD and physical to Human Resources before they can begin working.

Those interested can submit their resume or direct questions to Kelsey Daniels, Clinical Case Manager, at