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Renewable Term Lecturer in Applied Information Technology

Logo of University of Oklahoma
University of Oklahoma


Application Deadline: Position will remain open until filled.


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 January 2026 (spring semester), or 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 


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


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