Research and Learning Services Librarian – Engineering, Sciences and Artificial Intelligence (Tenure-track), Hofstra University (Hempstead, NY)

Posted October 28, 2026

Description:

The Hofstra University Library invites applications for a tenure-track appointment as Research and Learning Services Librarian for Engineering, Sciences, and AI, in the Department of Research and Learning Services. This librarian will provide research and instructional support to students and faculty in computing, engineering, and the natural sciences and advance AI initiatives within the library and the broader campus community. The successful candidate will understand issues surrounding AI in academia and develop teaching and learning initiatives and services that address them. This librarian will bring a growth mindset, approaching emerging trends in librarianship and academia with curiosity and imagination.
The Research and Learning Services Librarian for Engineering, Sciences, and AI will initiate and cultivate relationships with faculty, centers, programs, and projects across campus to integrate library resources and services into teaching, learning, and research. The successful candidate will demonstrate familiarity with research methodologies, grant-seeking and proposal writing, and emerging technologies sufficient to expand and strengthen library research support for faculty and students.
The University Library supports Hofstra University’s mission of providing quality education in an environment that encourages and nurtures learning through the free and open exchange of ideas. It shares the University’s commitment to academic freedom and the transmission, advancement, and preservation of knowledge. Through collaboration with students, faculty, and administrators, the University Library supports the University’s curricular offerings and meets the community’s research and instructional needs.

Position Duties:

Engage actively with faculty in computing, engineering, and the natural sciences to integrate information literacy into curricula and provide research support to students.
Establish and cultivate relationships with faculty to support disciplinary research and enrich library services and collections.
Collaborate with the Center for Excellence in Learning, Teaching, and Assessment to support faculty teaching and research.
Develop and deliver workshops, credit-bearing course modules, tutorials, and online lessons, and integrate AI instruction into curricula to introduce or refine ethical, practical, and critical uses of generative and applied AI in disciplinary contexts.
Develop and implement training for librarians to support the ongoing effective use of AI tools.
Provide reference services, individual research consultations, library instruction, and specialized programs to students, faculty, and staff, both in person and online.
Perform collection development duties in accordance with department policy.
Participate in professional and service activities within the Hofstra University Library, the University, and the broader profession.
Conduct research, publish, and participate in scholarly activities to meet the Hofstra University Library’s criteria for reappointment and tenure.
Perform other related duties as assigned.

Qualifications:

An M.L.S. or M.L.I.S. degree from an ALA-accredited program.
Experience providing public services in academic libraries.
Experience providing library instruction.
Familiarity with information use and research practices in computing, engineering, and the natural sciences.
Familiarity with AI literacy standards and discipline-specific information literacy standards.
Experience using Springshare applications, such as LibAnswers, LibChat, and LibGuides.
Working knowledge of WorldCat Discovery, OCLC library management systems, and related systems (preferred).

Hours and Compensation:
Full time, $75,000-80,000/year.

How to Apply:

Please submit your cover letter, curriculum vitae, and email address and phone number of three professional references at https://hofstra.peopleadmin.com/postings/7803.

All applications received by December 31, 2026, will receive full consideration. Inquiries should be directed to the Chair of the Search Committee Prof. William Caniano at [email protected].