Open Rank, Tenured or Tenure-Track Faculty in Data Science, Machine Learning, and Artificial In... at InsideHigherEd

Position Title:

Open Rank, Tenured or Tenure-Track Faculty in Data Science, Machine Learning, and Artificial Intelligence

Job Posting Number:

2026059TTL

Job Location:

Round Rock, San Marcos

Department:

Mathematics

Position Description:

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:

• establish and maintain a strong record of high-quality research in Data Science, Machine Learning, and/or Artificial Intelligence,
• teach mathematics and/or statistics courses at the undergraduate and graduate levels,
• supervise student projects at the undergraduate and graduate levels,
• participate in service to the university community and broader profession, and
• 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.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.

Required Qualifications:

For Assistant Professor:

• An earned doctorate in Mathematics, Statistics, or a closely related field prior to employment.
• 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.
• Evidence of or potential to obtain external funding.
• Evidence of or potential for excellence in teaching students.
• A history of or potential for advising student projects.
• An ability to contribute to the mission of the department, www.math.txst.edu/about/mission.html.

For Associate Professor:

• An earned doctorate in Mathematics, Statistics, or a closely related field prior to employment.
• Evidence of research excellence in Data Science, Machine Learning and/or Artificial Intelligence. Recent publications will be emphasized, but all publications will be considered.
• Evidence of having obtained research grants.
• Evidence of excellence in teaching students.
• A history of advising student projects at the undergraduate and graduate levels.
• An ability to contribute to the mission of the department, www.math.txst.edu/about/mission.html.

For Professor:

• An earned doctorate in Mathematics, Statistics, or a closely related field prior to employment.
• 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
• Evidence of a sustained record of obtaining research grants
• Evidence of excellence in teaching students.
• A history of advising student projects at the undergraduate and graduate levels.
• An ability to contribute to the mission of the department, www.math.txst.edu/about/mission.html.

Preferred Qualifications:

For Assistant Professor:

• Evidence of or Potential for interdisciplinary research collaboration.

For Associate Professor/Professor:

• Evidence of interdisciplinary research collaboration.

Application Procedures:

Online submission of all application materials is required through the university’s application portal: https://jobs.hr.txstate.edu/postings/54558.

To assure full consideration, please submit the following by January 23, 2026:

Submit the following documents:

• Cover letter,
• Curriculum vitae, and
• All unofficial transcripts (all in one document).

In addition, to be considered for the position, applicants must also submit the following through https://www.mathjobs.org:

• Cover letter,
• AMS cover sheet,
• Curriculum vitae,
• Unofficial undergraduate and graduate transcripts (all in one document)
• Statement of research agenda,
• Statement of teaching philosophy, and
• Three letters of recommendation with at least one addressing teaching.

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.

Proposed Start Date:

Fall 2026

Review Date:

01/23/2026

Open Until Filled?:

Yes

Legal Notices:

Texas State University is committed to a policy of non-discrimination and equal opportunity for all persons regardless of race, sex, color, religion, national origin or ancestry, age, marital status, disability, veteran status, or any other basis protected by federal or state law in employment, educational programs, and activities and admissions.

Employment with Texas State University is contingent upon the outcome of record checks and verifications including, but not limited to, criminal history, driving records, education records, employment verifications, reference checks, and employment eligibility verifications.

This position may conduct research on critical infrastructure depending on the research focus of a hire. Consistent with the requirements of the State of Texas, individuals conducting research on critical infrastructure will be subject to pre-employment, and then subsequent routine background checks/cybersecurity screenings. Employment will at all times be contingent upon the successful completion of these screenings in accordance with State and University requirements.
Applicants must be authorized to work for any employer in the United States. The University will not sponsor or assume sponsorship of any candidate requiring a petition for a H1B employment visa.

Reasonable Accommodation:

If you experience accessibility issues or require alternative formatting during the application process due to a disability or underlying condition, we request that you contact Talent Acquisition for assistance. A representative from Talent Acquisition will respond to you as soon as possible.

Record Checks and Verifications:

Employment with Texas State University is contingent upon the outcome of record checks and verifications including, but not limited to, criminal history, driving records, education records, employment verifications, reference checks, and employment eligibility verifications.

Eligibility for Employment:

Proper documentation of identity and eligibility for employment will be required before the hiring process can be completed.

Why Work at Texas State?:

Texas State University is home to more than 38,000 students and 2,000 faculty members in the growing Austin-San Antonio corridor. A member of the Doctoral Universities: Higher Research Activity Carnegie classification, the university creates new knowledge, fosters cultural and economic development, and prepares its growing population of diverse students for the endless possibilities that await them as citizens of Texas, the nation, and the world.Bolstered by research with relevance and innovation in creative and scholarly work in a full range of academic disciplines and a spirit of inclusiveness, Texas State seeks outstanding candidates for a variety of faculty positions.

Quick Link:

https://jobs.hr.txstate.edu/postings/54477