The School of Information Studies (SOIS) offers several educational programs: a Bachelor of Science in Information Science and Technology (BSIST); a Masters of Science in Information Science and Technology (MSIST) degree in partnership with the Department of Computer Science; an ALA-accredited Masters of Library and Information Science (MLIS); several coordinated graduate degree programs, including Health Informatics; transcript-designated concentrations within the MLIS Archival Studies, Public Libraries, Information Organization, and Information Technology; post-masters Certificates of Advanced Study in Archives and Records Management and Digital Libraries; and a PhD in Information Studies. The School has a strong research faculty, more than 900 students, and state-of-the-art information technology.

SOIS faculty organizes three research groups: the Research Group for Information Retrieval, Knowledge Organization Research Group, and the Social Studies of Information Research Group.

SOIS is committed to excellence through diversity of thought, race, gender and community. We seek candidates who value and demonstrate an appreciation for diversity in all forms, in addition to providing the necessary support to those communities for an inclusive learning arena.

The information professions are changing rapidly, and future information professionals will need expertise in the application of artificial intelligence (AI). As part of our growing, strategic focus on AI along with data science, SOIS is inviting applications for a full-time tenure track Assistant Professor position. The candidate will join us in preparing future information professionals to understand and apply AI-based technologies and techniques in various information organizations, including libraries, archives and private organizations, to add value by solving real-world problems. 

We seek scholars whose research, teaching, and impact in the field of AI in IST/LIS emphasize on: generative AI, natural language processing (NLP) and large language models (LLMs),deep learning or other machine learning (ML) frameworks, the interaction between human and AI, and AI in applied contexts, with specific interest in information retrieval and searching; information organization (metadata, classification, and cataloging); recommendation systems; chatbots and virtual reference services; the preservation, discovery, and accessibility of digital materials; data science (text and data mining); knowledge management and information visualization; user behavior analysis; sentiment and opinion analysis; and cybersecurity and/or anomaly detection.

The successful candidate will be expected to maintain an active research agenda and contribute to the scholarship of the School and College through externally funded research, teach both face-to-face and online classes at graduate and undergraduate levels, develop courses focused on AI at graduate and undergraduate levels, mentor graduate students, contribute to service in accordance with the university policy, and participate in school, college and university activities.

·A PhD in LIS, Information Technology, Computer Science, Informatics, or a closely related relevant field to AI by the start date of the appointment (August 2025).
·Evidence of a scholarly agenda showing how AI is integral to their program of research with potential to publish in top-tier academic journals.
·Exhibit potential for establishing independent, externally funded research related to the intersection of AI and IST/LIS.
·Strong commitment to teaching excellence in higher education.

·Record of research related to the intersection of AI with IST/LIS.

·Demonstrated ability of teaching effectiveness and curriculum development in higher education.

·Evidence of extramural funding related to the intersection of AI and IST/LIS.

·Experience of mentoring undergraduate and/or graduate students in higher education.

This is a continuous recruitment; however, the initial date of review is January 15, 2025. Applications received after January 14, 2025 may not receive consideration.

All applicants must apply online via jobs.uwm.edu. A strong application packet will include a cover letter outlining their interest in this position as well as teaching experience and research profile, a current CV, and a listing the names and contact information for three professional references.

For this position, applicants are required to apply online. UWM will not consider paper, emailed or faxed applications. Additionally, applicants must complete all required fields and attach any required documents. The process is complete when the message “Your application has been submitted” is displayed and you receive a confirmation number.

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UWM is an AA/EO employer: All applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, sexual orientation, gender identity/expression, disability, or protected veteran status.




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