Assistant Professor, Emerging Technologies​/AI Librarian

Title: Assistant Professor, Emerging Technologies/AI Librarian

Department Org: University Libraries - 100490

Employee Classification: F2 - Faculty 12 Month AAUP

Bargaining Unit: Am. Assoc. Univ. Professors

Primary

Location:

MC AC

The University of Toledo Libraries seeks a dynamic and forward‑thinking Emerging & AI Technologies Librarian to lead the integration of artificial intelligence and other emerging technologies into library services, instruction, and research support. This position will play a key role in advancing the university’s participation in the American Association of Colleges and Universities (AAC&U) Institute on AI, Pedagogy, and the Curriculum, contributing to the development of ethical, inclusive, and innovative AI practices across campus.

Start date for this position is August 2026.

• Design and deliver workshops, course‑integrated instruction, and learning resources focused on AI and emerging technologies.
• Collaborate with subject liaisons to design and deliver instructional materials related to AI and emerging technologies.
• Develop curricula that build students’ digital and AI literacy, aligned with the ACRL Framework for Information Literacy.
• Provide access to emerging technologies and ensure support for diverse learning needs.
• Incorporate experiential learning opportunities using immersive, data‑driven, or interactive technologies to enhance student engagement and digital fluency.
• Serve as a liaison to one or more academic departments with responsibility for outreach, instruction, research consultation, collection development, and development of learning materials.
• Develop and maintain library guides and other online self‑directed learning materials for unit and outreach areas.
• Participate in reference services, including in‑person, phone, chat reference, and on‑call.

• Collaborate with faculty on integrating AI tools into research and pedagogy and spearhead the exploration of new technology.
• Provide guidance on copyright, data privacy, and publisher policies related to AI.
• Consult on grant proposals, data management plans, and research projects that involve AI, or digital scholarship tools for such tasks as data visualization and text analysis.

• Lead the library’s exploration and implementation of emerging technologies, including AI, AR (Augmented reality), VR (virtual reality), and data visualization tools.
• Partner with campus units to coordinate campus‑wide AI initiatives.
• Serve as a point of contact for campus stakeholders seeking emerging technology expertise.
• Develop and promote best practices for the ethical and inclusive use of these technologies in academic settings.
• Address issues of bias, misinformation, and accessibility in emerging technologies.
• Contribute to campus‑wide policy discussions around AI adoption and responsible use.
• Evaluate and recommend emerging tools that enhance digital scholarship, data visualization, and knowledge creation across disciplines.

• Engage in scholarship, professional development, and service at the university, regional, and national levels.
• Stay abreast of trends in AI and emerging technologies to anticipate campus needs.
• Contribute to the library’s overall strategic planning and innovation initiatives.
• Contribute to professional and campus discussions on the social, cultural, and ethical implications of emerging technologies.

Please submit a cover letter, current CV and list of references with your application. Any inquiries regarding the position can be directed to christine.rigda.

• ALA‑accredited MS/MLIS or advanced degree.
• Demonstrated knowledge of AI tools and emerging technologies in academic or research settings.
• Experience with instruction, curriculum integration, or faculty collaboration.
• Strong communication and collaboration skills.
• Demonstrated potential to meet The University of Toledo’s criteria for tenure and promotion, including scholarly presentations and/or publications and service.

• Experience with digital scholarship, data visualization,…