Post Doctoral Fellow; Skills; Workforce

About ETS

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.

The Postdoctoral Fellow will contribute to a research agenda focused on understanding human competencies in the AI era. This role is designed for an early-career scholar who has recently completed a doctoral degree and seeks to advance the measurement science of human competencies, human-AI collaboration, skills assessment, readiness, and workforce pathways at the intersection of AI-era work and education. The Fellow will help contribute to projects that define and validate priority human capabilities, study how people use and collaborate with AI in complex education and work tasks, and examine how durable, technical, and emerging AI-era skills can support postsecondary readiness, employment, career transitions, and upward mobility.

The postdoctoral fellowship will be a one-year appointment, with renewal possible contingent on funding.

• Design and execute research projects on human competencies, human-AI collaboration, readiness science, workforce pathways, and portable evidence of skills.
• Contribute to the development of construct definitions, competency taxonomies, evidence models, indicators, and validity arguments for measuring human capabilities in AI-mediated education and work contexts.
• Study how students, workers, and adult learners use AI in complex problem-solving, decision-making, learning, and work tasks, including what they delegate, verify, revise, and retain.
• Support research on readiness for education-to-workforce transitions, including how durable skills, technical foundations, AI-era capabilities, and prior learning contribute to employment opportunities, job performance, persistence, and upward mobility.
• Analyze competency frameworks, labor‑market sources, surveys, interviews, assessment tasks, process data, work samples, or administrative records using quantitative, qualitative, mixed‑methods, or computational approaches.
• Contribute to the development of research‑based tools and resources such as capability reports, assessment‑paradigm crosswalks, readiness evidence frameworks, skills‑based transcript guidance, or portable skills evidence models.
• Collaborate with interdisciplinary researchers and partners across education, workforce, and AI‑related research initiatives within and outside of ETS.
• Strong background in one or more areas: educational measurement, learning sciences, educational psychology, workforce readiness, skills assessment, human‑AI collaboration, labor‑market analysis, competency‑based education, career and technical education, or related fields.
• Experience with construct definition, evidence‑centered design,…