AI Research Librarian Job at University of California Riverside in Riverside

AI Research Librarian

University of California Riverside

POSITION DESCRIPTION

The University of California, Riverside Library seeks two dynamic and highly-skilled AI Research Librarians to join its cutting-edge Research Services team, focusing on supporting faculty and students across all disciplines in integrating AI tools and new 21st century research methodologies into academic research ecosystems and processes. These positions will serve as leaders in the evolving landscape of new technology-enabled research in academic libraries, focusing on the intersection of AI, data, and scholarly research. This includes emerging and new methodologies such as systematic and synthetic reviews and AI ‘Deep Research'. The librarians will guide faculty and students in utilizing AI research tools ranging from workshopping deep meta-analysis to synthetic research, including evidence synthesis and systematic research techniques, across disciplines including STEM, Social Sciences, and Humanities. While candidates will support all disciplines, they may develop particular focus areas based on their expertise and departmental needs. The successful candidates will also play a critical role in supporting the data research lifecycle, contributing to the development of a robust scholarly research digital ecosystem.

The UCR Library is a critical partner in preparing UCR's students to be globally competitive while simultaneously preparing them to be transformative leaders in the Inland Empire and beyond. The mission of the UCR Library is to bring the world's information resources to the UCR community and to ensure that UCR students, faculty, and staff have the skills to fully exploit those resources to change the world for the better.

Responsibilities

Reporting to the Director of Research Services, the AI Research Librarians are responsible for :

• AI Research Tools Consultation and Teaching : Provide consultation and training on advanced AI research tools and methodologies (e.g., LLMs, Reasoning AI models, Deep Research, Notebook LLM, Tableau) to faculty, undergraduate, graduate, and postdoctoral researchers.
• AI Tool Assessment and Curation : Develop systematic evaluation criteria for emerging AI research tools, focusing on accuracy, reliability, data privacy, and academic integrity. Maintain a curated collection of vetted AI tools for different research needs and disciplines.
• Meta, Synthetic, and Systematic Analysis : Assist researchers with meta-analysis, synthetic research methods, and systematic analysis across diverse disciplines.
• Research Lifecycle Support : Work with faculty, researchers and students to guide them through the data research lifecycle, from planning and data collection to analysis, interpretation, visualization and dissemination.
• Scholarly Research Ecosystem : Promote the use of AI tools within the broader context of the university and digital scholarly research ecosystem present in an academic research library.
• Collaborative Work with Data Science Team : Collaborate with AI Research Data Scientists and other members of the Research Services team on larger, interdisciplinary research projects.
• AI and Library Resources Integration : Help faculty, researchers and students on all levels to use AI tools in conjunction with library resources.
• Instruction and Programming : Develop and deliver research-focused workshops, training sessions, and presentations on AI tools, data analysis techniques, and research methodologies.
• Cross-disciplinary Support : Tailor AI research support to various disciplines, including STEM, Social Sciences, and Humanities.
• Ethical and Responsible AI Use : Guide students and faculty in the ethical use of AI in research, emphasizing transparency, academic integrity, and responsible use of generative AI tools.
• Collaboration and Engagement : Collaborate with colleagues, including librarians and staff supporting GIS, Makerspace Labs, digital scholarship, medical programs and other subject-specific librarians.
• Ongoing Professional Development : Engage in continuous learning regarding the latest advancements in AI, machine learning, and research technologies.

QUALIFICATIONS

Basic qualifications (required at time of application)

Preferred qualifications

APPLICATION REQUIREMENTS

Document requirements

Reference requirements

Please provide contact information for a minimum of three references.

Apply link :

Help contact : [email protected]

ABOUT UC RIVERSIDE

The University of California, Riverside is a world-class research university with an exceptionally diverse undergraduate student body. UCR is a member institution of the American Association of Universities (AAU) as well as the Alliance of Hispanic Serving Research Universities (HSRU). Its mission is explicitly linked to providing routes to educational success for underrepresented and first-generation college students.

The University of California is an Equal Opportunity / Affirmative Action Employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status.

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