Faculty - Tenure-Track, Assistant Professor Information Systems​/Applied AI

Faculty - Tenure-Track, Assistant Professor Information Systems/Applied AI

Join to apply for the Faculty - Tenure-Track, Assistant Professor Information Systems/Applied AI role at Utah Valley University.

1 day ago Be among the first 25 applicants

Salary: Depends on Qualifications

Job Type: FT Faculty

Job Number: FY2605252

Closing: 2/3/2026 11:59 PM Mountain

Location: 800 W University Parkway, Orem

Division: VP Academic Affairs

The Department of Information Systems and Technology invites applications for two tenure‑track faculty positions in Information Systems to begin August 1, 2026. The faculty member develops and teaches undergraduate courses in programming, database design and SQL, web and application development, systems analysis and design, applied artificial intelligence, data analytics, computer and information security, and global and ethical issues in technology. The faculty member serves on the departmental Information Systems Curriculum Committee, participates in accreditation assessment, and engages in scholarly activities that contribute to the mission of the university, department, and profession.

In addition, the faculty provides service to the department, college, and university. One position also supports the Kahlert Applied AI Institute through collaborative research, curriculum development, and initiatives that advance the integration of AI across the University.

Utah Valley University places a strong emphasis on teaching. Faculty members are expected to develop a learning environment and activities that help students achieve their learning objectives. UVU encourages applicants with a wide range of backgrounds, experiences, and expertise to apply. The department will accept all qualified applications but is particularly interested in applicants with experience in applied artificial intelligence, machine learning (supervised, unsupervised, and deep learning), generative and agentic AI, and other closely related subjects.

The Information Systems and Technology Department offers ABET‑accredited degrees in BS Information Systems and Information Technology. The department also offers degrees in Cybersecurity and Business Technologies and Education.

UVU offers an excellent benefits package which includes a generous leave policy, 12 paid holidays, affordable medical and dental insurance options, life and AD&D insurance, tuition waiver (undergraduate resident) for employee and dependents and substantial employer contribution to a retirement plan.

• Graduation from an accredited institution with a doctorate in Information Systems, Information Technology, Cybersecurity, Computer Science, or a closely related academic field.
• Minimum of six months post‑secondary teaching experience.
• Demonstrated experience incorporating artificial intelligence concepts and applications into curriculum design and instruction, with the ability to contextualize AI within the information systems field and advance students' understanding of its relevance and impact.

• At least two years of related teaching, training, and/or industry experience.
• Evidence of scholarly research.

• Frequent talking, hearing, sitting, walking, and standing.
• Frequent use of fine‑hand manipulation is associated with the use of a computer.

Required:

• Curriculum Vitae
• Cover Letter
• Teaching Philosophy

Optional:

• Letter of Recommendation

• Deep understanding of applied artificial intelligence and machine learning principles, including data modeling, predictive analytics, and intelligent systems integration within enterprise information environments.
• Knowledge gained through teaching experience or expertise in at least three of the following areas: applied artificial intelligence, machine learning/data analytics, information systems design and implementation, Internet of Things, and computer and information security.
• Knowledge of subject matter and course content pertinent to Information Systems and Information Technology programs.
• Knowledge of online teaching environments, such as Canvas or…