Asst/Assoc/Professor of Practice in AI and Data Science - ISQS

Qualifications

• We welcome applicants holding a Ph.D. degree from a broad collection of related disciplines, including Information Systems, Business Analytics, Computer Science, Statistics, Industrial Engineering, Psychology, etc., obtained by the first day of employment;
• Evidence of teaching or applying statistics, optimization, and simulation methods to solve business problems (teaching while being a graduate student as instructors or teaching assistants will count toward this requirement);
• A demonstrated track record of publishing peer-reviewed research in refereed academic journals or scholarly books, or a demonstrated record of substantial professional engagement in the practice of business, management, and related issues

Benefits

• Compensation is highly competitive, dependent upon the candidates qualifications and experience
• Compensation is highly competitive, dependent upon the candidate's qualifications and experience

Responsibilities

• In addition, summer support is available to facilitate faculty members' teaching or research
• Primary responsibilities normally will be to teach in an area of expertise, mentor students in professional and career preparation, and liaise with professional contacts and entities on behalf of the department or program
• In line with TTU's strategic priorities to engage and empower a dynamic student body, enable innovative research and creative activities, and transform lives and communities through outreach and engaged scholarship, applicants should have experience working with a breadth of student populations at the undergraduate and/or graduate levels within individual or across the areas of teaching, research/creative activity, and service
• As a faculty member in the Area of ISQS, you will be expected to: 1) contribute to the teaching mission of the Area at the undergraduate and/or graduate level, as per the needs of the Area; 2) engage with substantial professional experience in the area in which they teach, or, conduct scholarly research in referred academic journals in areas aligned with the Area; 3) provide service to the Area, college, and university that is comparable with their rank

Full Description

Asst/Assoc/Professor of Practice in AI and Data Science - ISQS

42270BR

Position DescriptionThe Area of ISQS in the Rawls College of Business at Texas Tech University invites applications for a full-time, 9-month Assistant Professor of Practice (all ranks) in AI and Data Science position to begin in Fall 2026. This is a renewable position, with a promising career path of continuing appointment andpromotion to Associate or Full Professor of Practice. This position has a standard 3-3 course workload. Compensation is highly competitive, dependent upon the candidates qualifications and experience. In addition, summer support is available to facilitate faculty members teaching or research.

Position Description

The Area of ISQS in the Rawls College of Business at Texas Tech University invites applications for a full-time, 9-month Assistant Professor of Practice (all ranks) in AI and Data Science position to begin in Fall 2026. This is a renewable position, with a promising career path of continuing appointment and promotion to Associate or Full Professor of Practice. This position has a standard 3-3 course workload. Compensation is highly competitive, dependent upon the candidate's qualifications and experience. In addition, summer support is available to facilitate faculty members' teaching or research.

Major/Essential Functions

At Texas Tech University, the Professor of Practice title is used to recruit individuals with exceptional backgrounds and achievements in academic, business, government, or other professional practice. Primary responsibilities normally will be to teach in an area of expertise, mentor students in professional and career preparation, and liaise with professional contacts and entities on behalf of the department or program.

In line with TTU's strategic priorities to engage and empower a dynamic student body, enable innovative research and creative activities, and transform lives and communities through outreach and engaged scholarship, applicants should have experience working with a breadth of student populations at the undergraduate and/or graduate levels within individual or across the areas of teaching, research/creative activity, and service.

As a faculty member in the Area of ISQS, you will be expected to: 1) contribute to the teaching mission of the Area at the undergraduate and/or graduate level, as per the needs of the Area; 2) engage with substantial professional experience in the area in which they teach, or, conduct scholarly research in referred academic journals in areas aligned with the Area; 3) provide service to the Area, college, and university that is comparable with their rank.

Required Qualifications

• We welcome applicants holding a Ph.D. degree from a broad collection of related disciplines, including Information Systems, Business Analytics, Computer Science, Statistics, Industrial Engineering, Psychology, etc., obtained by the first day of employment;

• Evidence of teaching or applying statistics, optimization, and simulation methods to solve business problems (teaching while being a graduate student as instructors or teaching assistants will count toward this requirement);

• A demonstrated track record of publishing peer-reviewed research in refereed academic journals or scholarly books, or a demonstrated record of substantial professional engagement in the practice of business, management, and related issues.

Preferred Qualifications

In addition to the required qualifications, individuals with the following preferred qualifications are strongly encouraged to apply:

• Evidence of experience in teaching statistics, optimization, and/or simulation tools to support decision-making in business settings;

• Experience of substantial industrial experience in artificial intelligence, data science, or related areas;

• An established record of teaching, or practical engagement with, telecommunication systems, enterprise architecture, system integration, or related areas.

Special Instructions to Applicant

Please include the following documents in your application:

Cover Letter

Curriculum Vitae

Statement of Teaching Philosophy

Other document(s) directly related to required and preferred qualifications

Names and contact information of three references

Questions about this position should be directed to Dr. Inmyung Choi, Search Committee Chair at inmyung.choi@ttu.edu. Faculty representatives will be present at CIST or ICIS conferences and welcome interested applicants to meet us (please contact Dr. Inmyung Choi for an appointment).

The deadline to submit applications is November 30, 2025.

To apply, visit workattexastech.com

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information or status as a protected veteran.jeid-20e87f258760d646ae1036827fffc5d4