Research Fellow

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 our renowned assessments including TOEFL®, TOEIC®, GRE® and Praxis® tests, serving millions of learners in more than 200 countries and territories. Through strategic acquisitions, we've expanded our global capabilities: PSI strengthens our workforce assessment solutions, while Edusoft, Kira Talent, Pipplet, Vericant, and Wheebox enhance our educational technology and assessment platforms across critical markets worldwide.

Through ETS Research Institute and ETS Solutions, we're partnering with educational institutions, governments, and organizations globally to promote skill proficiency, empower upward mobility, and unlock opportunities for everyone, everywhere. With offices and partners across Asia, Europe, the Middle East, Africa, and the Americas, we deliver nearly 50 million tests annually. Join us in our journey of measuring progress to power human progress worldwide.

This position is designed for researchers who will contribute to the Center on Responsible AI in Assessment (working title) at the ETS Research Institute. The role encompasses a broad range of expertise areas, including artificial intelligence, computer science, machine learning, human-computer interaction, educational data mining, learning analytics, and psychometrics. Researchers in this role will collaborate across disciplines to advance responsible AI research and develop innovative assessment solutions.

The fellowship will be a one-year appointment with the possibility of renewal.

Primary Responsibilities

• Conduct original research on responsible AI in assessment, including but not limited to automated scoring, conversational assessments, fairness/bias detection, and learning analytics.
• Design and prototype new AI-enabled assessment tools and methodologies, leveraging expertise in deep learning, data mining, or related areas.
• Develop and apply psychometric models or analytical frameworks to ensure validity, reliability, and fairness of AI-driven assessment systems.
• Collaborate with internal teams and external partners (e.g., academic institutions, industry) on research projects and capacity-building initiatives.
• Disseminate research findings through publications, presentations, and internal reports.
• Mentor junior staff, interns, or postdoctoral researchers as appropriate.
• Support grant writing, proposal development, and strategic planning as required for Center activities.
• Demonstrated expertise in one or more of the following: AI/ML, HCI, educational data mining, learning analytics, psychometrics, or assessment technology.
• Evidence of research excellence (e.g., publications, project leadership).
• Ability to work collaboratively in interdisciplinary teams.
• Strong communication skills.
• Commitment to ethical and responsible innovation.
• Experience translating research into practical applications or prototypes.
• Track record of interdisciplinary collaboration.
• Leadership or mentoring experience.

• PhD or equivalent research experience in computer science, AI, HCI, educational measurement, data science, or a closely related field.

• We are passionate about hiring innovative thinkers who believe in the promise of education and lifelong learning.
• We are energized by cultivating growth, innovation, and continuous transformation for the next generation of rising professionals as leaders. Â In support of this ETS offers multiple Business Resource Groups (BRG) for you to learn and advance your career growth!
• As a not-for-profit organization we will encourage you to lean in to your passion for volunteering. Â At ETS you may qualify for up to an additional 8 hours of PTO for volunteer work on causes that are important to you!
• 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 also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. The base pay is only one aspect of the Total Rewards Package that will be offered to the successful candidate.