Assistant Professor - Ethical AI, Information Generation & Retrieval, and Knowledge Systems
Application Deadline: November 19th, 2026 (Applications accepted until filled or closed)
The School of Information at San José State University is pleased to announce a search for Assistant Professor of Ethical AI, Information Generation & Retrieval, and Knowledge Systems beginning in August 2027. The successful candidate will contribute to SJSU's strategic investments in artificial intelligence, large language models, data analytics, and critical technologies through research, teaching, and service that advances the design, evaluation, governance, and use of intelligent information systems.
We seek candidates whose work examines how humans and computational systems interact to create, organize, discover, evaluate, and use information in increasingly AI-mediated environments.
Required Qualifications
Earned doctorate in Library and Information Science, Information Science, Informatics, Information Studies, Human-Computer Interaction, Computer Science, Data Science, Knowledge Management, or a closely related field.
Evidence of scholarship in one or more of the following:
Artificial intelligence and intelligent information retrieval systems
Critical Technology Studies
Data stewardship and governance
Applicants should demonstrate an awareness of and sensitivity to the educational goals of a socially and economically diverse student population as might have been gained in cross-cultural study, training, teaching, and other comparable experience.
Preferred Qualifications
Experience applying artificial intelligence, machine learning, or large language models to information discovery, knowledge management, digital curation, user services, or decision support.
Research addressing the social, ethical, legal, and policy implications of AI and emerging technologies.
Experience working in libraries, archives, museums, technology organizations, public-sector organizations, or other information-centered environments.
Evidence of potential for external funding, industry partnerships, or applied research collaborations.
Experience teaching in online, hybrid, or distributed learning environments.
An understanding of how the fields of information science, library & information science, as well as related fields frame issues connected to:
Trust, credibility, and information quality
Ethical, legal, and societal implications of AI
Information policy and governance
Key Responsibilities
Develop curricula for undergraduate and/or graduate courses across the School of Information’s many programs and certificates, for topics such as:
Human and autonomous information retrieval systems
AI governance, ethics, and policy
Research methods and analytics
Advise students pursuing careers in libraries, archives, information management, user experience, digital curation, knowledge management, data services, AI-enabled information services, and related professions.
Conduct an active program of research, scholarship, and/or creative activity.
Participate in service activities that support the School, University, profession, and broader information community.
The candidate will participate in shared governance, usually in department, college, and university committees and other service assignments.
Faculty shall organize all their classes within the Canvas Learning Management System (LMS).
The candidate must demonstrate awareness and experience in understanding the needs of a student population of great diversity – in age, abilities, cultural background, ethnicity, religion, economic background, primary language, sexual orientation, gender identity, and academic preparation – through inclusive course materials, teaching strategies, and advisement.
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