Instructor of the Practice or Assistant Professor of Artificial Intelligence and Machine Learning
Position Announcement
The College of Science, Engineering & Technology at Utah Tech University in St. George, Utah invites applications for a professional-track Instructor of the Practice or tenure-track Assistant Professor position in Artificial Intelligence and Machine Learning to begin July 2026. The preferred candidate will possess a PhD in Computer Science or a related discipline, or a MS with professional expertise. Preference will be given to candidates with prior teaching experience in Artificial Intelligence and Machine Learning, but candidates with adequate teaching assistant experience are also encouraged to apply.
The successful candidate will be expected to teach and develop introductory courses in Artificial Intelligence and Machine Learning. The preferred candidate will have experience in current Artificial Intelligence and Machine Learning practices and be able to develop both mobile and web solutions. Potential courses to be taught will be determined by the strengths of the applicant. More information about the Department of Computing and its associated programs and faculty can be found online at https://computing.utahtech.edu/.
Responsibilities
- Teach a standard load of graduate and undergraduate courses each academic year in Artificial Intelligence, Machine Learning, and Computer Science.
- Deliver instruction using lecture, laboratory, project, and other modalities.
- Engage and mentor students in active and experiential learning, with progressive developmental experiences.
- Provide leadership in the development and oversight of the Center for Applied ML/AI.
- Contribute to the ongoing development of programs and projects in Artificial Intelligence, Machine Learning, and Computer Science.
- Conduct public and private outreach activities for the Center for Applied ML/AI.
- Attend department, college, and university faculty meetings; practice program management and adhere to university policies.
- Perform other duties as assigned.
Qualifications
- Master's degree in Artificial Intelligence, Machine Learning, Computer Science or related field required; PhD in Artificial Intelligence, Machine Learning, Computer Science or related field preferred.
- Preference will be given to candidates with relevant prior teaching experience and/or relevant industry experience.
- Project management experience for industry or student projects preferred.
- A strong commitment to and evidence of potential for excellence in teaching, including an ongoing commitment to improvements in teaching methods and curriculum.
- Strong communication and interpersonal skills and commitment to collegiality and teamwork.
- An interest in active learning, experiential learning, and student engagement.
Supplemental Information
POSITION DETAILS, COMPENSATION AND BENEFITS: Full-time (9-month) tenure-track or professional-track faculty position. Faculty service begins August 2026, with pay and benefits starting July 1, 2026. Annual salary of $72,000-$76,000 for Instructor of the Practice and $100,000-$110,000 for Assistant Professor depending on qualifications and experience, with additional compensation available for optional summer/overload teaching. Excellent benefits package included that begins on start date; includes medical, dental, vision, disability, and life insurance, employee assistance and wellness programs, retirement plan contributions, and undergraduate tuition waivers for employees and eligible dependents.
ELECTRONIC APPLICATION PROCEDURES: Application review begins October 20, 2025; position open until filled. Candidates must submit a cover letter, curriculum vitae, contact information for three professional references (including email addresses), transcripts, and a Student Success Statement (1-2 pages about the candidate's teaching or other professional experience working with a wide range of student academic preparedness). Please upload all the requested documents when you submit your application. Employment is contingent upon successful completion and certification of required degrees and upon successfully passing a background check. If, because of a disability, you need special services or facilities to apply for this opening, please call the Human Resources Office (435) 652-7520.
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