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# Tenure Track/Tenured: Open Rank (Quantitative & Computational Methods) job in College Station

- **Company:** Texas A&M University
- **Location:** College Station, TX, United States
- **Contract:** Temporary to permanent
- **Skills:** Network Analysis, Computer Simulation, Machine Learning
- **Published:** August 16, 2026
- **Apply:** https://jobs.diversity.com/career/2454503/tenure-track-tenured-open-rank-quantitative-computational-methods-texas-tx-college-station

## About the Role

A PhD in Psychology or a closely related field is required. Preference will be given to candidates who have demonstrated or demonstrate the potential to publish high quality impactful research that advances quantitative and/or computational methods in psychological science, writing and obtaining grants, and engaging in high quality teaching and mentoring activities in quantitative and/or computational methods.

## Description

The Department of Psychological and Brain Sciences, College of Arts and Sciences, at Texas A&M University invites applications for 3 full-time positions at the rank of Assistant Professor (tenure-track), Associate Professor (tenured), or Professor (tenured) in quantitative and/or computational methods with 9-month academic appointments to begin in Fall 2027. Associate Professor and Professor candidates will be considered for tenure review upon hire.

We seek applicants whose research advances quantitative and/or computational methods in psychological science. Areas of interest include (but are not limited to): psychometrics, computational modeling, machine learning and artificial intelligence applications, multilevel and longitudinal methods, biostatistics, network analysis, and data science. The goal of this cluster hire is to build long-term departmental strength in quantitative and/or computational methods in psychological science.

The successful candidates will engage in research, grant applications, and funded projects, teach courses in our graduate and undergraduate programs, and act as engaged citizens of the department, college, university, and their field. We seek candidates who have demonstrated or show the potential to develop and maintain an active, productive, and impactful research program and to develop and enhance graduate training in quantitative and/or computational methods. Typical teaching loads for the department are 3 courses per year, distributed across undergraduate and graduate programs. Evidence of teaching effectiveness is a plus.


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