Assistant/Associate/Full Professor of Psychology

Department: Educational Psychology
Institution: The University of Texas at Austin
Position Type: Tenure-Track, Open-Rank

Position Description

The Department of Educational Psychology at the University of Texas at Austin seeks a tenure-track, open-rank faculty member in the Quantitative Methods program in the area of Applied Data Analytics.

The faculty member will conduct research related to applied data analytic techniques used to improve educational and health outcomes, including:

• Data mining

• Predictive modeling

• Text analytics

The Quantitative Methods program provides training in modern statistical and psychometric methods to prepare graduates to advance methodological research and apply these methods to address educational, health, and social science research questions.

The Department is committed to an intellectually diverse, welcoming, and engaging environment, and seeks candidates whose research, teaching, and service contribute to serving students and communities across Texas, the U.S., and globally.

Department and College Overview

• The Department of Educational Psychology has robust graduate programs and is currently ranked #8 among Best Educational Psychology Programs by U.S. News & World Report.

• The department advances knowledge about the human experience at the intersection of education and psychology through research, teaching, and practice.

• The College of Education is among the top public colleges of education in the country and emphasizes equity, excellence, innovation, empowerment, and community-focus.

• Approximately 30% of admitted students are first-generation college students from across Texas and beyond.

Strategic Vision: The College launched the Reimagine Education initiative, focused on:

1. Advancing equity and eliminating disparities in health and education

2. Attending to place and context

3. Thriving through transitions

Qualifications

Required:

• Ph.D. in Data Science, Data Analytics, Quantitative Methods, Quantitative Psychology, Statistics, Applied Statistics, or a closely related field by July 31, 2026

Preferred / Desired:

• Strong potential or proven record in scholarly leadership and teaching in Applied Data Analytics, including:

  • Data mining

  • Text analytics (e.g., NLP, sentiment analysis, topic modeling)

  • Dynamic data analytics (e.g., longitudinal or time-series analysis)

  • Social network analysis

  • Data ethics and management

• Strong potential or proven record in securing extramural research funding

• Experience or capacity to teach and mentor undergraduate and graduate students from diverse backgrounds

Research Context: Texas has more than 10% of the nation’s K–12 student population, with over 30% of students speaking a home language other than English (more than 100 languages). UT Austin is the flagship state university, a member of the Association of American Universities, and a Hispanic Serving Institution.

Application Instructions

Review of applications begins: October 3, 2025
Deadline for full consideration: September 29, 2025

Applicants should submit materials via the Interfolio system: apply.interfolio.com/172695

Required Materials:

• Cover Letter with contact information

• Curriculum Vitae

• Research Statement outlining accomplishments and future directions

• Teaching and Mentoring Statement describing methods to support effective student learning and mentoring

• Up to three representative publications

• List of three references with contact information

Contact Information:

• Application questions: Becky Cook (Becky.Cook@austin.utexas.edu)

• Questions about the position: Dr. Hyeon-Ah Kang, Chair of Search Committee (hkang@austin.utexas.edu)

In your application, please refer to Professorpositions.com