Assistant/Associate Professor of Library and Information Studies - Information Retrieval and Human Computer Interaction (Tenure-Track or Tenured)
Application Deadline: The search committee will begin reviewing applications on November 15, 2026.
The School of Library and Information Studies (SLIS) in the Dodge Family College of Arts and Sciences at the University of Oklahoma invites applications for a full-time Assistant or Associate tenured/tenure track faculty position in Information Retrieval and Human Computer Interaction. This position will begin in fall 2027. The position is located in Norman, Oklahoma, and the successful candidate will be required to move to the area.
We are seeking a dynamic candidate with a demonstrated research agenda, the ability to teach courses at the undergraduate, master’s, and/or doctoral levels, and a commitment to service. Most of SLIS’ courses are taught in an online, asynchronous format, with the exception of our doctoral courses. This is a 9-month position with a teaching load of 2 courses in the fall semester and 2 courses in the spring semester. Faculty distribution of effort is typically 40% teaching, 40% research, and 20% service, and faculty members are expected to contribute to all three categories.
Candidates must specialize in one or more of the following with clear application within library and/or information science: information retrieval, data and text analytics, generative AI and large language models, natural language processing and computational linguistics, human-AI interaction, AI ethics and societal impacts, AI policy and law, and responsible AI, human computer interaction (HCI).
Courses taught by this faculty member could include topics such as: fundamentals of information technology, information retrieval and text mining, information visualization, and social/community informatics. The faculty member will collaborate with other faculty to expand SLIS’ course offerings focused on artificial intelligence, human computer interaction, user-centered design, information retrieval theories (doctoral level), and advances in information retrieval (doctoral level).
Required Qualifications:
Earned Ph.D. or equivalent in Information Science, Library and Information Science or a closely related discipline (e.g. Data Science, Information Systems, Computer Science). The candidate can be ABD at the time of application but is expected to complete their dissertation defense/thesis viva before starting the position in fall 2027.
Research specialization in information retrieval or human computer interaction with clear application within library and/or information science.
Preferred Qualifications:
Experience teaching at the undergraduate and graduate levels in library and/or information science courses Experience teaching in an online, asynchronous format
Demonstrated research experience through presentations and publications as commensurate to their rank
Experience with developing grant proposals if applying for Associate Professor rank
Engagement with departmental, college, university, or professional service if applying for Associate Professor rank
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