Texas Tech University
Asst/Assoc/Professor of Practice in AI and Data Science - ISQS
Texas Tech University, Lubbock, Texas, us, 79430
Asst/Assoc/Professor of Practice in AI and Data Science - ISQS
Area of Finance 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, to begin in Fall 2026. This is a renewable position with a potential career path to continuing appointment and promotion to Associate or Full Professor of Practice. The standard teaching load is 3-3. Summer support is available to facilitate teaching or research. About the University Texas Tech University is a Carnegie R1 (very high research activity) Doctoral/Research-Extensive, Hispanic Serving, and state-assisted institution. Located on a 1,850-acre campus in Lubbock, the university enrolls over 40,000 students. It is committed to student success, ethical leadership, and global competitiveness. Lubbock is a growing city in West Texas with a diverse community and a lower cost of living. About the College The Jerry S. Rawls College of Business is AACSB accredited. The college offers a range of undergraduate, master’s, and PhD programs in business disciplines, including MS in Data Science, MS in Information Systems, and a PhD in Business Administration. The college has a faculty of over 140 and a staff of over 80, serving more than 5,000 undergraduates and 800 graduates. About the Department/School/Area The Area of Information Systems and Quantitative Sciences (ISQS) has a strong research profile and offers a BS in IT, MS-DS, MS-IS, and PhD tracks in MIS. The MS-DS program was ranked No. 3 among online non-MBA programs in 2022. Major/Essential Functions Texas Tech University recruits individuals with exceptional backgrounds and achievements in academic, business, government, or professional practice for the Professor of Practice title. Primary responsibilities typically include teaching, mentoring students for professional and career development, and liaising with professional contacts on behalf of the department. Applicants should have experience with diverse student populations at undergraduate and/or graduate levels in teaching, research, and service. As a faculty member in ISQS, you will be expected to: contribute to the teaching mission at undergraduate and/or graduate levels as needed by the Area; engage with substantial professional experience in the teaching area or conduct scholarly work in refereed journals in areas aligned with the Area; provide service to the Area, college, and university commensurate with rank. Organization Texas Tech University Faculty Qualifications Ph.D. from a related discipline (Information Systems, Business Analytics, Computer Science, Statistics, Industrial Engineering, Psychology, etc.) by the first day of employment; Evidence of teaching or applying statistics, optimization, and/or simulation methods to solve business problems (teaching while a graduate student counts); A demonstrated record of publishing in peer‑reviewed journals or substantial professional engagement in practice. Preferred Qualifications Experience teaching statistics, optimization, and/or simulation tools for decision-making in business settings; Substantial industrial experience in AI, data science, or related areas; Experience teaching or engaging with telecommunication systems, enterprise architecture, system integration, or related fields. Duty Point TTU Lubbock, main campus and affiliated facilities Safety Information Adherence to robust safety practices and all applicable health and safety regulations are responsibilities of all TTU employees. Does this position work in a research laboratory? No Special Instructions to Applicants Please include: Cover Letter, Curriculum Vitae, Statement of Teaching Philosophy, other documents related to required/preferred qualifications, and names/contacts of three references. Questions may be directed to Dr. Inmyung Choi at inmyung.choi@ttu.edu. The deadline to submit applications is
November 30, 2025 . Job Type Full Time Pay Basis Monthly Pay Statement Compensation is commensurate with qualifications and budgetary guidelines. See the institutional pay plan at www.depts.ttu.edu/hr/payplan. Travel Required Up to 25% Grant Funded? No Job Group NonTenure track EEO Statement All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, disability, genetic information, or status as a protected veteran. Salary Grade 800 Applications must be received by 11/30/2025
#J-18808-Ljbffr
Area of Finance 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, to begin in Fall 2026. This is a renewable position with a potential career path to continuing appointment and promotion to Associate or Full Professor of Practice. The standard teaching load is 3-3. Summer support is available to facilitate teaching or research. About the University Texas Tech University is a Carnegie R1 (very high research activity) Doctoral/Research-Extensive, Hispanic Serving, and state-assisted institution. Located on a 1,850-acre campus in Lubbock, the university enrolls over 40,000 students. It is committed to student success, ethical leadership, and global competitiveness. Lubbock is a growing city in West Texas with a diverse community and a lower cost of living. About the College The Jerry S. Rawls College of Business is AACSB accredited. The college offers a range of undergraduate, master’s, and PhD programs in business disciplines, including MS in Data Science, MS in Information Systems, and a PhD in Business Administration. The college has a faculty of over 140 and a staff of over 80, serving more than 5,000 undergraduates and 800 graduates. About the Department/School/Area The Area of Information Systems and Quantitative Sciences (ISQS) has a strong research profile and offers a BS in IT, MS-DS, MS-IS, and PhD tracks in MIS. The MS-DS program was ranked No. 3 among online non-MBA programs in 2022. Major/Essential Functions Texas Tech University recruits individuals with exceptional backgrounds and achievements in academic, business, government, or professional practice for the Professor of Practice title. Primary responsibilities typically include teaching, mentoring students for professional and career development, and liaising with professional contacts on behalf of the department. Applicants should have experience with diverse student populations at undergraduate and/or graduate levels in teaching, research, and service. As a faculty member in ISQS, you will be expected to: contribute to the teaching mission at undergraduate and/or graduate levels as needed by the Area; engage with substantial professional experience in the teaching area or conduct scholarly work in refereed journals in areas aligned with the Area; provide service to the Area, college, and university commensurate with rank. Organization Texas Tech University Faculty Qualifications Ph.D. from a related discipline (Information Systems, Business Analytics, Computer Science, Statistics, Industrial Engineering, Psychology, etc.) by the first day of employment; Evidence of teaching or applying statistics, optimization, and/or simulation methods to solve business problems (teaching while a graduate student counts); A demonstrated record of publishing in peer‑reviewed journals or substantial professional engagement in practice. Preferred Qualifications Experience teaching statistics, optimization, and/or simulation tools for decision-making in business settings; Substantial industrial experience in AI, data science, or related areas; Experience teaching or engaging with telecommunication systems, enterprise architecture, system integration, or related fields. Duty Point TTU Lubbock, main campus and affiliated facilities Safety Information Adherence to robust safety practices and all applicable health and safety regulations are responsibilities of all TTU employees. Does this position work in a research laboratory? No Special Instructions to Applicants Please include: Cover Letter, Curriculum Vitae, Statement of Teaching Philosophy, other documents related to required/preferred qualifications, and names/contacts of three references. Questions may be directed to Dr. Inmyung Choi at inmyung.choi@ttu.edu. The deadline to submit applications is
November 30, 2025 . Job Type Full Time Pay Basis Monthly Pay Statement Compensation is commensurate with qualifications and budgetary guidelines. See the institutional pay plan at www.depts.ttu.edu/hr/payplan. Travel Required Up to 25% Grant Funded? No Job Group NonTenure track EEO Statement All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, disability, genetic information, or status as a protected veteran. Salary Grade 800 Applications must be received by 11/30/2025
#J-18808-Ljbffr