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Texas State University, Department of Mathematics – Open Rank, Tenured or Tenure-Track Faculty in Data Science, Machine Learning, and Artificial Intelligence
Company NameTexas State University, Department of Mathematics
Position TitleOpen Rank, Tenured or Tenure-Track Faculty in Data Science, Machine Learning, and Artificial Intelligence
Company Information
The Department of Mathematics is a growing department with a broad range of strengths in Analysis, Topology, Algebra, Combinatorics, Statistics (including Data Science and Machine Learning), Applied Mathematics, Logic, and Mathematics
Education. The department started its new Ph.D. program in mathematics in Fall 2025 to complement its Ph.D. program in
mathematics education and its master’s programs. The faculty has over $3 million in active grants, including a Sloan Fellow and
multiple NSF CAREER awardees. The Department strives to create a welcoming environment that invites students from a wide range of backgrounds to major in mathematics, statistics, and data science. We invite applicants who are enthusiastic about mentoring students at the undergraduate and graduate levels to reach their potential. The Department is dedicated to the success of its junior faculty, providing support through formal mentoring, reduced teaching and service loads, collaboration and collegiality, and opportunities to participate in university-wide professional development programs.
Texas State University is in San Marcos, a city 25 miles south of Austin and 50 miles north of San Antonio. San Marcos constantly ranks as a fast-growing community in the United States. Nestled in the Texas Hill Country and in the middle of Texas’s innovation corridor, the campus enjoys a beautiful setting along the banks of the San Marcos River. Texas State University is
dedicated to teaching and research excellence, and the university’s “Run to R1” program aims to support faculty to lift the university to R1 status by supporting research and grant activities. Texas State University has been named by Forbes as a Best Employer, Best Employer for Diversity, and Best Employer for Women. Texas State University is a member of The Texas State
University System and is a federally designated Hispanic Serving Institution (HSI).
The Austin-San Antonio area has many opportunities for collaborations outside of the university and an increasing demand for expertise in Al and data science. Major companies such as Dell, Tesla, Google, IBM, AMD, and Apple have a large presence in the Austin area. San Antonio is home to USM and Rackspace and is a center for healthcare and biosciences. Many of our faculty have collaborations with industry and nearby universities.
Duties and Responsibilities
The Department of Mathematics
at Texas State University seeks applications for a tenure-track or tenured faculty position at the Assistant Professor, Associate Professor, or Professor rank. The position will begin in Fall 2026.
The successful candidate is expected to:
(1) establish and maintain a strong record of high-quality research in Data Science, Machine Learning, and/or ArtificialIntelligence;
(2) teach mathematics and/or statistics courses at the undergraduate and graduate levels;
(3) supervise student projects at the undergraduate and graduate levels;
(4) participate in service to the university community and broader profession; and
(5) meet the required qualifications for the applied rank.
The selected candidate will be appointed the appropriate rank based on experience and in accordance with college and university policies.
Position Qualifications
1. Assistant Professor
(1) An earned doctorate in Mathematics, Statistics, or a closely related field prior to employment;
(2) Evidence of or potential for research excellence in Data Science, Machine Learning, and/or Artificial Intelligence. Recent publications will be emphasized, but all publications will be considered; (3) Evidence of or potential to obtain external funding;
(4) Evidence of or potential for excellence in teaching students;
(5) A history of or potential for advising student projects;
(6) An ability to contribute to the mission of the department; and
(7) (Preferred) Evidence of or Potential for interdisciplinary research collaboration.
2. Associate Professor
(1) An earned doctorate in Mathematics, Statistics, or a closely related field prior to employment;
(2) Evidence of research excellence in Data Science, Machine Learning and/or Artificial Intelligence. Recent publications will be emphasized, but all publications will be considered;
(3) Evidence of having obtained research grants; (4) Evidence of excellence in teaching students; (5)
A history of advising student projects at the undergraduate and graduate levels; (6) An ability to contribute to the mission of the department; and (7) (Preferred) Evidence of interdisciplinary research collaboration.
3. Professor
(1) An earned doctorate in Mathematics, Statistics, or a closely related field prior to employment;
(2) Evidence of a sustained record of research excellence in Data Science, Machine Learning or Artificial Intelligence. Recent publications will be emphasized, but all publications will be considered;
(3) Evidence of a sustained record of obtaining research grants
(4) Evidence of excellence in teaching students;
(5) A history of advising student projects at the undergraduate and graduate levels;
(6) An ability to contribute to the mission of the department; and
(7) (Preferred) Evidence of interdisciplinary research collaboration.
Position or Company Websitetxst.edu
Application Instructions
Applicants must submit the following via Mathjobs (https://www.mathjobs.org/jobs/list/27650):
(1) Cover letter,
(2) AMS cover sheet,
(3) Curriculum vitae,
(4) Unofficial undergraduate and graduate transcripts (all in one document),
(5) Statement of research agenda,
Statement of teaching philosophy, and
(6) Three letters of recommendation with at least one addressing teaching.
Additionally, online submission of all application materials is required through the university’s application portal: https://jobs.hr.txstate.edu/postings/54477.
Submit the following documents:
(1) Cover letter,
(2) Curriculum vitae, and
(3) All unofficial transcripts (all in one document).
To ensure full consideration, all materials listed above should arrive at the required locations by
January 23, 2026. However, we shall continue to accept applications until the position is filled.