Tenure Track/Tenured: Open Rank (Quantitative & Computational Methods)

Texas A&M University - Faculty

College Station, TXFull-timeSeen 3w ago

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At a glance

Compensation
No compensation found
Location
College Station, TX
Schedule
Full-time
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Doctorate

Job overview

Texas A&M University - Faculty is hiring a Tenure Track/Tenured: Open Rank (Quantitative & Computational Methods). The Department of Psychological and Brain Sciences at Texas A&M University seeks candidates to fill three full‑time, 9‑month faculty positions at the rank of Assistant Professor (tenure‑track), Associate Professor (tenured), or Professor (tenured) in quantitative and/or computational methods, beginning in Fall 2027.

Key focus areas include Conduct research advancing quantitative and computational methods in psychological science, Write grant proposals and manage funded research projects, and Teach undergraduate and graduate courses in quantitative and computational methods.

Important skills include Quantitative Methods, Computational Methods, Research, Grant Applications, Teaching, and Writing. Preferred (not required): Psychometrics, Computational Modeling, Machine Learning, and Artificial Intelligence Applications.

Skills & qualifications

RequiredNice to have

Skills

Quantitative MethodsComputational MethodsResearchGrant ApplicationsTeachingPsychometricsComputational ModelingMachine LearningArtificial Intelligence ApplicationsMultilevel MethodsLongitudinal MethodsBiostatisticsNetwork AnalysisData ScienceCoachingWriting

Qualifications

PhD in Psychology or Closely Related FieldActive, Productive, and Impactful Research ProgramGraduate Training in Quantitative and/or Computational MethodsTeaching EffectivenessPublish High Quality Impactful ResearchObtaining GrantsEngaging in High Quality Teaching and Mentoring Activities

Full job description

Tenure Track/Tenured: Open Rank (Quantitative & Computational Methods) Psychological and Brain Sciences

Location College Station, Texas

Open Date 8/13/2026

Position ID 188589

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.

The Department of Psychological and Brain Sciences at Texas A&M University is a community of scholars committed to generating scientific discoveries in the discipline, providing rigorous and inspiring undergraduate and graduate education, and engaging in outreach about psychology and the application of psychological science. We value collaboration, with many faculty having grants and research projects with colleagues inside and beyond the department. The Department has numerous programs to support early career faculty, including a formal mentoring program.

We currently offer doctoral programs in clinical psychology, cognition, and cognitive neuroscience, social and personality psychology, industrial-organizational psychology, and behavioral and cellular neuroscience, and a master's program in industrial-organizational psychology. We currently have 60 full-time faculty, over 100 PhD students, and approximately 2,000 undergraduate majors. Texas A&M University is a land, sea, and space grant institution that holds the distinction of classification as an R1 Doctoral University (highest research activity), and faculty benefit from the resources and support associated with this designation. Our department is committed to broadening participation in higher education, and has a policy of being responsive to the needs of dual-career couples. The Department is interested in candidates who, through their research, teaching, and/or service, will contribute to the breadth and excellence of the academic community, and well as the educational needs of the population of Texas and the global community.

Texas A&M University is a Top 20 public research institution and among the largest universities in the US. Located in College Station, the university is 90 miles from Houston, 100 miles from Austin, and 165 miles from Dallas. The Bryan-College Station metropolitan area has over 260,000 residents and is experiencing rapid job growth. Texas has no state income tax. College Station has a local airport served by American Airlines.

Qualifications

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.

Application Instructions

Applicants should submit: a cover letter; CV; a personal statement to include philosophy and plans for research, teaching and service (as applicable); and contact information for at least three references. To apply, please visit: https://apply.interfolio.com/190514 For questions and additional assistance, please contact Jennifer Fraustro at [email protected].

Priority will be given to applications received by October 1, but applications will be accepted until the position is filled.

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