Assistant/Associate Professor - Psychometrics and Quantitative Methods

Requisition: Assistant/Associate Professor – Psychometrics and Quantitative Methods | Department: Educational Psychology (F_260108) | Posting open: 10/15/2026 | Application review date: 11/16/2026 | Open until filled: Yes | Planned start: August 2027 | Location: Lincoln, NE

About the role

The Department of Educational Psychology seeks applicants for a nine‑month tenure‑track Assistant or Associate Professor in the Quantitative, Qualitative, and Psychometric Methods (QQPM) program beginning August 2027. Candidates must hold a doctorate in psychometrics, measurement, quantitative methods, or a related field conferred no later than August 2027. Expertise or interest in modern psychometrics (e.g., modern issues in testing, large language models, fairness, equating, computerized adaptive testing, diagnostic classification models, automatic item generation, scale/test development), latent variable modeling approaches (e.g., IRT, SEM, person‑centered analysis, factor analysis), multilevel modeling, and/or a related approach is required. Experience or interest in methodological applications relevant to applied statistics, causal inference, non‑parametric and/or categorical data, Bayesian estimation and/or inference, and/or program evaluation is desirable.

Responsibilities

• Developing and maintaining an ongoing program of methodological research leading to publications in major quantitative, psychometric, statistical, and/or methodological journals.
• Collaborating with faculty across the College of Education and Human Sciences, UNL, and the University of Nebraska system on methodological issues related to substantive research projects.
• Effective instruction, student research advisement, and student mentoring.
• Participating in faculty governance.
• Participating in and/or preparing applications for external funding.
• Providing leadership and service at local, state, and national levels.

About the department

The Department of Educational Psychology is nationally known for educational research that combines theoretical depth with practical significance; systematic mentorship of students and junior faculty; active collaboration among faculty and students; and commitment to creating an environment where all individuals can thrive. It is a graduate‑oriented department offering master’s and doctoral specializations in QQPM, Development and Learning Sciences, School Psychology, and Counseling Psychology. The department houses the Buros Center for Testing, the Nebraska Evaluation and Research Center, and the Nebraska Internship Consortium in Professional Psychology, and is closely affiliated with the Nebraska Center for Research on Children, Youth, Families, and Schools (an institutional Program of Excellence). It cooperates with four other academic departments in providing learning experiences for undergraduate and graduate students in the College of Education and Human Sciences, which strives to be a vibrant, welcoming, and caring community driven by its mission to enhance the lives of individuals, families, schools, and communities. Lincoln, Nebraska offers a vibrant community with a strong economy, low cost of living, affordable housing, abundant parks and trails, exceptional public schools, and notable entertainment and cultural opportunities in the downtown, Haymarket, and Railyard areas and at the Lied Center for Performing Arts.

Requirements

• Doctorate in psychometrics, measurement, quantitative methods, or a related field conferred no later than August 2027.
• Research productivity and an emerging publication record.
• Potential for excellence in teaching and mentoring graduate and/or undergraduate students.
• Expertise or interest in modern psychometrics (e.g., modern issues in testing, large language models, fairness, equating, computerized adaptive testing, diagnostic classification models, automatic item generation, scale/test development), latent variable modeling approaches (e.g., IRT, SEM, person‑centered analysis, factor analysis), multilevel modeling, and/or a related approach.

Preferred qualifications

• Record of scholarly publications commensurate to faculty rank.
• Evidence of success in pursuing and securing external funding.
• Experience or interest in methodological applications relevant to applied statistics, causal inference, non‑parametric and/or categorical data, Bayesian estimation and/or inference, and/or program evaluation.

Location

Lincoln, NE (on‑site)