Assistant Professor of Information Systems

McCoy College of Business at Texas State University; San Marcos (CA); On-site; USD 90,000 - 120,000; Full time

Job summary

Texas State University’s Department of Information Systems & Analytics seeks a tenure-track Assistant Professor of Information Systems starting Fall 2027. The successful candidate will conduct high-quality AI/ML research and teach undergraduate and graduate courses, focusing on applied AI and software development.

The college emphasizes AACSB accreditation, interdisciplinary collaboration, and service across the university. ABDs must defend by hire date; Ph.D./D.B.A. preferred.

Qualifications

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

Responsibilities

• Conduct high-quality research leading to peer-reviewed journals.
• Teach undergraduate and graduate courses in AI/ML and software development.
• Contribute to service at department, college, and university levels.

Skills

Research

Teaching

AI/ML applications

Software development

API usage

Education

Ph.D./D.B.A or ABD

Tools

OpenAI API

Claude AI

Google Gemini

Job description

Position Title Assistant Professor of Information Systems Job Posting Number 2027035TTL Job Location San Marcos College/Division Emmett and Miriam McCoy College of Business Department Dept of Information Systems & Analytics Position Description

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)

The selected candidate will be required to provide official transcripts from all degree granting Universities.

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 Fall 2027 Posting Date 11/09/2026 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.