Assistant Professor of Information Systems

Texas State University; San Marcos (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

Texas State University’s Department of Information Systems and Analytics invites applications for a tenure-track Assistant Professor position beginning Fall 2027. The successful candidate will conduct high-quality research in AI/ML applications to business and teach undergraduate and graduate courses, with emphasis on applied AI, modern ML, and software development.

The selected candidate will also participate in service at the department, college, and university levels as TXST continues to grow

Qualifications

• Ph.D., D.B.A., or ABD from an internationally accredited institution with a business-related area in information systems, MIS, IT, or CS.
• ABD candidates are expected to defend their dissertation by the date of hire and maintain an active AI/ML research agenda.

Responsibilities

• Conduct high-quality research in information systems leading to peer-reviewed publications.
• Teach undergraduate and graduate courses, especially in applied AI, ML, and software development.
• Provide service at the department, college, university, and professional levels.

Skills

AI/ML applications in IS

Applied AI teaching

Software development knowledge

Research leadership in AI/ML

Education

Ph.D./D.B.A. or ABD in IS/MIS/CS/IT

Tools

AI language-model APIs (OpenAI/Claude/ Gemini)

Job description

Job Opportunities at Texas State University

Assistant Professor of Information Systems

Position Title Assistant Professor of Information Systems

Job Posting Number

Job Posting Number 2027035TTL

Job Location

Job Location San Marcos

College/Division

College/Division Emmett and Miriam McCoy College of Business

The Department of Information Systems and Analytics ( ISA ) at Texas State University seeks applicants for a tenure-track Assistant Professor position beginning fall 2027. The selected applicant will be expected to conduct high-quality research relevant with information systems, leading to peer reviewed scholarly publications. Particularly, we seek scholars whose research applies Artificial Intelligence (AI), modern Machine Learning (ML), and similar technologies to solve business problems. Additionally, the selected applicant will be expected to teach relevant undergraduate and graduate courses, especially courses in applied AI, modern ML, and software development. Additional job duties include service at the department, college, university, and professional levels. Texas State’s San Marcos campus is located in a growing community along the I-35 corridor between Austin and San Antonio. With its strategic location in the heart of the region’s innovation ecosystem, where Blackland prairies roll into beautiful hills, Texas State University enjoys a unique setting among Texas universities. Texas State University is a Hispanic-Serving Institution and an Emerging Research University within the State of Texas. The McCoy College of Business fosters an engaged learning community that prepares the student population for successful business careers as responsible global citizens. The College complements these efforts with research that adds to knowledge, provides solutions to business challenges, and contributes to pedagogical advances. The College is AACSB-accredited, has grown more than 30 percent over the last 10 years, and serves over 5,500 undergraduate and 600 graduate students. The ISA Department offers a university-wide undergraduate minor in Data Analytics and offers several degree programs, including the Master of Science in Data Analytics and Information Systems, the Bachelor of Business Administration (BBA) in Information Systems, and a newly launched BBA in Business Analytics. Additionally, the department contributes to the Master of Business Administration (MBA) and Doctor of Business Administration (DBA)

Required Qualifications

• Candidates must have earned Ph.D., D.B.A,or be ABD from an internationally accredited institution with a business-related area in information systems, management information systems, computer information systems, information technology, or computer science.
• ABD candidates are expected to successfully defend their dissertation by the date of hire. The candidate must have an active business-related agenda in AI/ML.

Preferred Qualifications

• Ph.D. from an AACSB accredited business school.
• Previous research experience in the areas of AI/ML applications in business.
• Previous teaching experience in applied AI, ML, and/or software development.
• Evidence of effective teaching (if any).
• Experience with applying application programming interface (API) of AI-powered language models, such as OpenAI, Claude AI, and Google Gemini.
• Track record (or potential) for publications in peer-reviewed high-quality journals.
• Experience (or potential) in securing external funding.

Proposed Start Date

Proposed Start Date Fall 2027

Posting Date

Posting Date 11/09/2026

Review Date

Review Date 02/01/2027

Close Date

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, drug screening (if applicable), and employment eligibility verifications. Certain positions, including those with clinical responsibilities, require compliance with health, immunization, and other requirements mandated by affiliated clinical agencies. Employment and continued assignment in such roles are contingent upon meeting and maintaining these requirements. 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 a large, student-centered public research institution serving more than 40,000 students across undergraduate, graduate, and doctoral programs in San Marcos and Round Rock. Classified as a Carnegie Doctoral University with High Research Activity (R2), TXST is actively advancing its ambitious Run to R1 strategy, demonstrating sustained growth in research activity, doctoral education, and scholarly impact.

Faculty at TXST join a vibrant academic community of over 5,000 faculty and staff committed to excellence in teaching, research, and service. The university offers a collaborative, supportive environment, and interdisciplinary scholarship. Outstanding faculty are drawn to TXST for the opportunity to make a meaningful impact—advancing research, mentoring a growing student body, and helping shape the future of a rapidly growing research university.

• Unofficial Transcripts (all in one document)
• Statement of Teaching Philosophy
• Statement of Research Interests

Supplemental Questions

Required fields are indicated with an asterisk (*).

• * Do you have a Ph.D. or D.B.A from an internationally accredited institution with a business-related area in information systems, management information systems, information technology, and computer science or ABD with anticipated completion prior to start date??
  • Yes, I have earned a Ph.D. or D.B.A from an internationally accredited institution with a business-related area information systems, management information systems, information technology, and computer science
  • Yes, ABD with anticipated completion prior to start date.
  • No

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