"Assistant Professor in the Robert C. Vackar College of Business and Entrepreneurship / Information Systems-QUMT"

Job Details

Assistant Professor in the Robert C. Vackar College of Business and Entrepreneurship / Information Systems-QUMT

Job Class Code: 10031
FLSA: Exempt
Posting Number: FRGV1912
Location: Rio Grande Valley, Texas
Division/Organization: Provost - Academic Affairs
Appointment Period for Non-Tenure Position:
Tenure Status: Tenure Track
FTE: 1

Scope of Job:
We seek applicants who are dedicated to serving The University of Texas Rio Grande Valley's student body as a tenure-track assistant professor of quantitative methods in the 2026-2027 academic year.
Applicants must have the ability to teach a variety of quantitative methods courses such as business statistics and data analytics. Evidence of high-quality research and demonstrated potential for quality teaching is expected along with a willingness to provide service to the department, college, university, and community. Applicants should have good communication skills and student interaction abilities.

About UTRGV: UTRGV serves the Rio Grande Valley and beyond via an innovative and unique multicultural education dedicated to student access and success. By championing leading research, healthcare, and application of university discoveries, we support sustainable development, community engagement, and well-being. The University of Texas Rio Grande Valley (UTRGV) is committed to building and sustaining a highly qualified and talented faculty to pursue excellence in everything that we do, including teaching, research, and service. Drawing on our unique identity as the leading Hispanic-Serving Institution in a bilingual and bicultural environment, UTRGV will promote student access and success by building from strength in education and creating a vibrant campus experience. By 2027, we will accelerate transformation in the Rio Grande Valley and beyond by driving meaningful advancements in research and creative works, expanding access to high-quality and affordable healthcare, and fostering authentic community engagement and integration. UTRGV is a distributed campus, one university spanning four counties and multiple locations. Our purpose is to be a university for the entire Rio Grande Valley and beyond. Over 91% of the students enrolled at UTRGV identify as Hispanic, making UTRGV one of the top 3 universities with the highest percentage of Hispanic students. For additional information, please visit UTRGV website.

Department/College Background
The Department of Information Systems offers Bachelor of Business Administration degrees in information systems and in business analytics, a Master of Science in Business Analytics and Artificial Intelligence, and a Ph.D. in Business Administration with a concentration in Information Systems. The department faculty engages in high-impact research in information systems, analytics, and quantitative methods and have published in leading business journals. The Robert C. Vackar College of Business and Entrepreneurship offers undergraduate, master's, and doctoral degree programs in accounting, business administration, business analytics, economics, finance, information systems, international business, management, and marketing to over 5,000 students.

Minimum Qualifications:
• Applicants should have an earned doctorate in quantitative methods, business analytics, decision science, data science, statistics, or a closely related field from a Carnegie research university/AACSB International-accredited institution. ABD applicants must complete their doctorate before the fall 2026 semester.
• Applicants must have at least 18 hours of quantitative methods, decision science, statistics, data science, or econometrics-related graduate courses.
• The candidate should show potential for high-impact scholarship as evidenced by a portfolio of high-quality published and /or ongoing research.
• Must meet RCVCOBE AACSB faculty qualifications for scholarly academic.

Discipline Specific Required Qualifications:

Preferred Qualification:
Prior teaching or research experience in business statistics, analytics, machine learning, or quantitative methods.

Salary: Commensurate with Qualifications and Experience
License or Certification Required?: No
Number of Vacancies: 1
Desired Start Date: 09/01/2026

EEO Statement:
It is the policy of The University of Texas Rio Grande Valley to promote and ensure equal employment opportunities for all individuals without regard to race, color, national origin, sex, age, religion, disability, sexual orientation, gender identity or expression, genetic information or protected veteran status. In accordance with the requirements of Title VII of the Civil Rights Act of 1964, the Title IX of the Education Amendments of 1972, Section 504 of the Rehabilitation Act of 1973, and the Americans with Disabilities Act of 1990, as amended, our University is committed to comply with all government requirements and ensures non-discrimination in its education programs and activities, including employment. We encourage women, minorities and differently abled persons to apply for employment positions of interest.

Open Date: 10/28/2025

Special Instructions to Applicants:
Complete all sections on the application. If you are applying for the first time please complete all biographical information including address, email and phone. You may update this at any time by selecting to edit your profile in the application. Security sensitive; conviction verification conducted on applicant selected.

Additional Information:
UTRGV is a distributed institution. As such and as assigned, the position may require presence at multiple locations throughout the Rio Grande Valley. Work is performed primarily in a general office environment. This position is security sensitive and thereby subject to the provisions of the Texas Education Code §51.215. The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.

This position is security-sensitive and thereby subject to the provisions of the Texas Education Code §51.215.

The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length. This position has the option to elect the Optional Retirement Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length.

Please Note:
Texas law requires faculty members whose primary language is not English to demonstrate proficiency in English as determined by a satisfactory paper-based test score of 500 (computer-based of 173 or internet-based of 61) on the Test of English as a Foreign Language (TOEFL) or a satisfactory test score of 6.0 on the International English Language Testing System (IELTS). Incomplete applications will not be considered. All positions are subject to budget approval.

To apply, visit https://careers.utrgv.edu/postings/49205