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Applied Data Analytics - Educational Psychology (Assistant, Associate, or Full Professor)

Applied Data Analytics - Educational Psychology (Assistant, Associate, or Full Professor)

University of Texas at AustinAustin, TX, United States
30+ days ago
Job type
  • Full-time
Job description

DescriptionThe University of Texas at Austin, Department of Educational Psychology is seeking a tenure-track, open-rank faculty member in the Quantitative Methods program in the area of Applied Data Analytics. The faculty will conduct research related to applied data analytic techniques used to improve educational and health outcomes, such as data mining, predictive modeling, and text analytics. The mission of the Quantitative Methods program is to offer training in modern statistical and psychometric methods to prepare graduates to advance methodological research and to apply these methods to address educational, health, and social science research questions. We are committed to an intellectually diverse, welcoming and engaging working and learning environment and are seeking candidates whose research, teaching and service have prepared them to contribute to serving students and communities across Texas, the country, and the world.

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 department provides an interdisciplinary and contemporary approach to learning and development and seeks to enhance the quality of the human experience through rigorous educational and psychological research, and effective translation of findings to policy and practice.

The College of Education, ranked among the top public colleges of education in the country, has a longstanding commitment to the shared values of equitable opportunities, excellence, innovation, empowerment, community-focus, and endeavors to bridge research and practice. We view creating an inviting, engaged campus community as interconnected with academic excellence in the work of our faculty. The college has experienced a rapid expansion of interest in its academic programs over the past five years. About 30% of our admitted students are first-generation college students and come from all corners of Texas and beyond. Our students are joined by a world-class faculty who are among the nation's leading experts in their respective fields.

As a leading college of education in Texas and beyond, we are agents of change committed to transforming education and health research, practice, and policy to ensure the thriving of children, families, schools and communities. In our efforts to align our college to address the most pressing challenges in the fields of education and health, we launched a strategic vision known as Reimagine Education (see ). In advancing this effort, we have organized our academic and research aspirations around three Signature Impact Areas : Advancing Equity and Eliminating Disparities in Health and Education, Attending to Place and Context, and Thriving through Transitions.Qualifications

  • Ph.D. in Data Science, Data Analytics, Quantitative Methods, Quantitative Psychology, Statistics, Applied Statistics, or a closely related field earned by July 31, 2026.
  • Strong potential or proven record in scholarly leadership and teaching in Applied Data Analytics, which may include data mining, text analytics (e.g., natural language processing, sentiment analysis, topic modeling), dynamic data analytics (e.g., longitudinal or time-series analysis), social network analysis, and / or 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 a wide range of backgrounds and advance the College's mission.

As a venue for research, Texas is home to more than 10% of the nation's K12 student population. More than 30% of students in Texas speak a home language other than English and this includes more than 100 languages. The University of Texas at Austin is the flagship state university of Texas, and one of the few universities in the U.S. that is both a member of the prestigious Association of American Universities and designated as a Hispanic Serving Institution. UT Austin values and supports interdisciplinary research and, with the opening of the Dell Medical School, provides outstanding access to opportunities for collaboration with world-renowned medical faculty. Austin, Texas is an exciting, welcoming, and inclusive city with the reputation as the Live Music Capital of the World.Application InstructionsReview of applications will begin October 3, 2025 and will continue until the position is filled. To ensure full consideration, please provide all requested materials by September 29, 2025. Applicants should upload the following items to the Interfolio system :

Cover Letter with contact information

  • Full C.V.
  • Research Statement that includes research accomplishments and future research directions
  • Teaching and Mentoring Statement that describes specific methods used to ensure effective student mentoring and a classroom environment that is welcoming, engaging, and supportive of student learning and success
  • Up to three representative publications
  • A list of three references with contact information
  • For additional information about the department, see .

    For questions regarding the application process, please contact Becky Cook (). Questions about the positions can be directed to the chair of the search committee : Dr. Hyeon-Ah Kang ().Equal Employment Opportunity StatementThe University of Texas at Austin, as an equal opportunity / affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

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