Description
Scope of job
The School of Mathematical and Statistical Sciences (SMSS) at The University of Texas Rio Grande Valley (UTRGV) invites applications for four tenure-track Assistant Professor positions, to begin in Fall 2026. Three positions will be based on the Brownsville campus (one position in Mathematics and two in Statistics) and one position in Mathematics will be based on the Edinburg campus.
We seek candidates with strong research potential in any area of Mathematics or Statistics, with particular preference given to applicants specializing in Statistics for the two Statistics positions. Successful candidates are expected to develop and maintain a productive, independent research program with the potential to secure extramural funding, demonstrate excellence in teaching at both the undergraduate and graduate levels, and actively contribute to the growth and development of the School’s academic programs.
Faculty in these positions are also expected to strengthen and complement the School’s Ph.D. program in Mathematics and Statistics with Interdisciplinary Applications and to contribute to the academic and local community through mentorship, collaboration, and service aligned with the mission of UTRGV.
We seek applicants who are dedicated to serving the UTRGV’s student body as an Assistant Professor of the SMSS beginning in the 2026-2027 academic year.
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 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.
The SMSS at the UTRGV comprises over 40 tenured and tenure-track faculty actively engaged in research across pure and applied mathematics, statistics, and mathematics education. The School offers undergraduate and graduate degree programs in Mathematics and Statistics, including Ph.D. in Mathematics and Statistics with Interdisciplinary Applications, M.S. in Applied Statistics and Data Science, and M.S. in Mathematics. Overall, SMSS has over 100 graduate students and around 280 undergraduate majors. With a strong focus on graduate education and high-quality research, SMSS plays an integral role in advancing the University’s goal of attaining Carnegie R1 status. For additional information, please visit the SMSS webpage.
As a multi-campus academic unit, SMSS maintains a strong presence on both the Edinburg and Brownsville campuses of UTRGV. Three of the positions associated with this search will be based on the Brownsville campus, a growing hub for research and academic excellence in South Texas.
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.
How to apply
Complete applications should be submitted online by following the links below:
FRGV1928 - Assistant Professor in the College of Sciences / School of Mathematical and Statistical Sciences/Brownsville [2 statistics and 1 math position in Brownsville]
FRGV1930- Assistant Professor in the College of Sciences / School of Mathematical and Statistical Sciences/ Edinburg [1 math position in Edinburg]
Applications should be received by January 19, 2026, to receive full consideration. Evaluations of applicants will begin on January 20, 2026, and continue until the positions are filled.
Requirements
Minimum Qualifications:
- Ph.D. in Mathematics, Statistics, or a closely related field from an accredited institution (earned by the start date of the appointment).
Discipline Specific Required Qualifications:
- Demonstrated potential for independent research and scholarly productivity in Mathematics or Statistics.
- Demonstrated potential for effective teaching and mentoring of students at both the undergraduate and graduate levels in Mathematics or Statistics.
Preferred Qualifications:
- Demonstrated experience in teaching and ability to use technology, innovative pedagogy, or evidence-based instructional practices to enhance student learning.
- Evidence of an active and productive research program with a record of, or clear potential for, publication in high-quality journals.
- Demonstrated potential to secure extramural research funding.
- Postdoctoral research experience demonstrating continued scholarly development.
