Post Doctoral Fellow- Policy

About the Organization

ETS is a global education and talent solutions organization enabling lifelong learners worldwide to be future-ready. For more than 75 years, we've been advancing the science of measurement to build benchmarks for fair and valid skill assessment across cultures and borders. Our worldwide impact extends through renowned assessments including TOEFL®, TOEIC®, GRE®, and Praxis® tests, serving millions of learners in over 200 countries and territories. Through strategic acquisitions, we've expanded our global capabilities with PSI, Edusoft, Kira Talent, Pipplet, Vericant, and Wheebox enhancing our educational technology and assessment platforms. We partner with educational institutions, governments, and organizations globally to promote skill proficiency, empower upward mobility, and unlock opportunities. With offices and partners across Asia, Europe, the Middle East, Africa, and the Americas, we deliver nearly 50 million tests annually.

About the Role

The Postdoctoral Fellow will contribute to ETS’s research agenda by conducting innovative, high-quality studies in one or more areas of expertise, including educational measurement, psychometrics, large-scale assessment, cognitive and learning sciences, AI in education, and related fields. This position is designed for early-career scholars who have recently completed their doctoral degrees and seek to advance research that informs assessment, learning, and educational policy. The postdoctoral fellowship is a one-year appointment with the possibility of renewal contingent on funding.

Responsibilities

• Design and execute research projects aligned with ETS strategic priorities.
• Apply advanced methodologies (quantitative, qualitative, computational) to address complex educational and assessment challenges.
• Collaborate with interdisciplinary teams across ETS and external partners.
• Disseminate findings through peer-reviewed publications, conference presentations, and internal reports.
• Contribute to proposals for externally funded research projects.
• Support innovation by developing prototypes, tools, or frameworks that advance assessment and learning.

Requirements

• Ph.D. in Education, Computer Science, Statistics, Data Science, Psychology, or a related field, completed within the past three years.
• Strong foundation in one or more areas: psychometrics, AI/ML, educational measurement, cognitive science, learning analytics, or related fields.
• Proficiency in research design and data analysis; programming skills (e.g., R, Python) preferred.
• Excellent written and oral communication skills.
• Ability to work collaboratively in diverse, interdisciplinary teams.
• Commitment to ethical and responsible research practices.

Benefits

• Multiple Business Resource Groups (BRG) for career growth and learning.
• Up to an additional 8 hours of PTO for volunteer work on causes important to you.

Pay

The base salary range advertised represents the low and high end of the anticipated salary range for this position. The base pay actually offered will take into account internal equity and may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors.