Open Rank Tenure-Line Faculty in Machine Learning, Data Science, and Artificial Intelligence

Posting Information

Position Title

Open Rank Tenure-Line Faculty in Machine Learning, Data Science, and Artificial Intelligence

Job Posting Number

2026044TTL

Job Location

San Marcos

Department

Computer Science

Position Description

The Department of Computer Science seeks applications for a tenure-track faculty position at the Assistant Professor, Associate Professor and/or Professor rank to begin in Fall

Job duties include conducting research that results in refereed publications and external funding, teaching effectively at the graduate and undergraduate levels, supervising student research, and serving at the department, college, university, and professional levels. Position is subject to availability of funds.

Required Qualifications

Required Qualifications (Assistant Professor):

• An earned doctorate in Computer Science or a closely related field prior to employment.
• Evidence of or potential for research excellence in Machine Learning, Data Science 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 and mentoring students.
• An ability to contribute to the departmental mission.

Required Qualifications (Associate Professor):

• An earned doctorate in Computer Science or a closely related field.
• Evidence of research excellence in Machine Learning, Data Science, 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 and mentoring students.
• Ability to contribute to the mission of the department.

Required Qualifications (Professor):

• An earned doctorate in Computer Science or a closely related field.
• 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 and mentoring students.
• Ability to contribute to the mission of the department.

Preferred Qualifications

Preferred qualifications for appointment to the rank of Assistant Professor:

• Demonstrated record of excellence in research (including potential in obtaining external funding), teaching, and service.
• Effective oral and written communication skills.

Preferred qualifications for appointment to the rank of Associate Professor/Professor:

• Record of excellence in research (successful preparation of grant proposals and acquisition of funds for research and a strong publication record).
• Teaching (including experience mentoring undergraduate and/or graduate research students).
• Record of service.
• Effective oral and written communication skills.

Application Procedures

Online submission of all application materials is required through the university's application portal:

To assure full consideration, please submit the following by February 1, 2026:

• Cover letter.
• Curriculum vitae.
• Statement of teaching philosophy.
• Statement of research interests.
• Unofficial transcripts (all in one document),
• Three professional references including names, e-mail addresses, and telephone numbers.

As part of our application process, we are requesting contact information for three (3) professional references. Please provide the names and email addresses for your references in the Reference Letter section of the employment application. Once selected for an on-campus interview, an automated email will be generated and sent to your references with instructions on how to attach the reference letter to your application through a confidential online portal. Applicants are highly recommended to remind their referees to respond to the letter request in a timely manner. Letters of recommendation will be required prior to interviews.

Candidates selected for interviews will be required to provide official transcripts from all degree granting universities.

Please visit the Department of Computer Science Faculty Employment for additional information.

Proposed Start Date

Fall 2026

Posting Date

09/19/2025

Review Date

02/01/2026

Close Date

Open Until Filled?

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.

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

In accordance with federal law, all new employees must complete the Form I-9 and provide acceptable documentation verifying their identity and authorization to work in the United States. Texas State University participates in E-Verify, and employment is contingent upon the successful verification of work authorization. Employees are required to maintain valid work authorization to satisfy the conditions of Form I9 at all times during their employment and the university makes no implicit or explicit promises to financially support visa or permanent residency applications.

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.