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University of Oklahoma

Renewable Term Lecturer in Applied Information Technology

Pay: Not specified

Posted: 3 weeks ago

Location: Norman, OK (Onsite)

Last Updated: 3 weeks ago

Hours: Full-Time

Expires: 9/16/2026

Job Description

University of Oklahoma Norman Campus:

Dodge Family College of Arts and Sciences:

Library and Information Studies Description:

The School of Library and Information Studies (SLIS) at the University of Oklahoma (OU) invites applications for one full-time, Renewable Term Lecturer positions (9-month academic year contract with 3 months summer required) to teach in the Bachelor of Science in Information Science and Technology program. This faculty position will begin in August 2026 (fall semester). This position is located in Norman, Oklahoma and faculty members will be expected to move to the area (this is not a remote position). The Bachelor of Science in Information Science and Technology is delivered in an online and asynchronous format. The standard distribution of effort for RT positions is 80% teaching and 20% service with a 4:4 (9-mo.) or 4:4:2 (12-mo.) teaching load, or equivalency. This position is currently 80% teaching with a load of 8 classes per year, typically on a 3 fall, 3 spring, and 2 summer schedule. The remaining 20% is service within the department and university. Successful candidates will have a specialization in Information Technology and the ability to teach two or more of the following specializations: Data analytics (introductory and advanced levels) Website design and development Information visualization Database design and implementation User-centered design and evaluation Machine learning and natural language processing Applied Artificial intelligence models, evaluation, and applications Cybersecurity Cloud computing Trust and security Faculty responsibilities include: Instruction at the undergraduate and graduate levels Course development Mentoring undergraduate and graduate students Supervising student independent courses and projects Contributing to systematic planning and development within SLIS, including attending faculty meetings SLIS committee membership, other SLIS service assignments

Qualifications:

Qualifications Minimum Qualifications:

Earned Ph.D. with a focus on information science, data science, or related discipline. Demonstrated online teaching experience Preferred Qualifications Experience teaching undergraduate and graduate students Experience teaching in an online, asynchronous format