Job Vacancies - Staff

Librarian (Digital Strategies) (Job ID: JR100493)

The Library has established a new Digital Strategies unit to advance the responsible adoption of artificial intelligence across learning, research, and library operations, together with the Library's data-driven services and its digital scholarship.

Reporting to the Assistant University Librarian (Digital Strategies), the appointee helps translate the Library's digital efforts into services and operational capability, with a focus on harnessing generative AI and exploring emerging agentic approaches to enhance library workflows, drive digital transformation, and enable library automation.

• Design, pilot, and integrate generative-AI workflows and lightweight automations (such as scripts and APIs) to enhance library processes, such as metadata generation, description and captioning, large-scale text and media processing;
• Develop AI-powered discovery and research-support services, such as gateways to library collections, with appropriate evaluation, guardrails, and quality assurance;
• Build the Library's internal AI capability, developing staff training, practical guides, and hands-on support so that colleagues across teams can adopt AI tools confidently and responsibly in their work;
• Evaluate and prioritize AI tools and use cases (including privacy, security, and licensing considerations), and promote responsible, transparent AI use across services;
• Advance digital scholarship and the digital preservation program in partnership with faculty and colleagues;
• Monitor emerging AI and digital-library developments, translate them into practical and ethically sound opportunities for the Library, and participate in library-wide projects and committees as needed.

Qualifications & Preferred Experience

• A master's degree in library and information science or a related field, in addition to a bachelor's degree, and a minimum of 2 years of post-qualification working experience;
• A sound understanding of generative AI and related technologies, with hands-on familiarity with current AI tools and platforms;
• A working understanding of the ethical, legal, and social implications of AI, including bias, transparency, privacy, copyright/IP, and academic integrity;
• A demonstrated record of service development, project leadership, and effective cross-unit collaboration in a rapidly evolving environment, including experience guiding or supervising staff;
• Experience in digital scholarship, library data and analytics, and/or AI / emerging-technology services;
• Excellent communication, instruction, and interpersonal skills, with a good command of both written and spoken English and Chinese.

(Duration: 2 years, renewable)

(Applicants who have responded to the previous advertisements need not re-apply.)

Starting salary will be commensurate with qualifications and experience.  Fringe benefits including annual leave, medical and dental benefits will be provided.  A gratuity will be payable upon successful completion of the contract.
 

Application Procedure

In support of a green work environment, we accept applications submitted online only.  To apply, please complete an online application form through the HKUST Careers website and return it online to the Human Resources Office on or before Saturday, 29 August 2026. Applicants will receive an acknowledgement by email upon successful submission.  We thank applicants for their interest, but advise that only shortlisted candidates will be notified of the result of the application.

Librarian (Research Support) (Job ID: JR100500)

HKUST Library is seeking a dynamic librarian to join the Library’s Research & Learning Support (RLS) team.

Reporting to the Head of Research & Learning Support, the appointee will contribute to planning, creation, delivery, and assessment of the Library’s research and learning initiatives with an emphasis on supporting researchers in their workflow in an evolving AI-assisted environment. S/he will be a key person to develop and implement services related to research impact, research data, and scholarly communications.

Responsibilities:

• Develop and manage HKUST repositories: Serve as one of the library’s experts developing and managing the HKUST institutional repositories, research data planning, and overseeing transformative agreements.
• Promote open scholarship and scholarly communication best practices: Foster the adoption of open scholarship and research data management among HKUST community and assist in developing HKUST’s research impact.
• Develop research instruction: Design and deliver forward-looking instruction (robust workshops, online guides, and interactive tools) to the HKUST community across the full research lifecycle, with a focus on integrating effective and ethical AI tools to enhance researcher workflows.
• Provide bibliometric & impact analysis: Offer expertise on bibliometrics, altmetrics and other tools for research impact assessment. Conduct analyses and generate reports for individual and groups to support assessment exercise.
• Serve as subject liaison for assigned disciplines: Act as the primary library contact for designated departments, providing tailored research consultations, course-integrated instruction, and collection development to support the specific teaching and research needs of faculty and students.

Requirement Qualifications 
Applicants must have:

• A master’s degree in library and information science or a related field and a minimum of 2 years of post-qualification working experience.
• An open mind and a growth, collaborative and relationship-building mindset; strong self-motivation to learn, proactivity, an innovative attitude, and the ability to multitask effectively in a fast-paced, collaborative, AI-assisted research and learning environment.
• Comprehensive understanding of the full research workflow, with the ability to articulate emerging trends in open science (especially open access), research data management, research impact assessment, and scholarly publishing; along with a deep understanding of the academic research environment.
• Excellent written and spoken English; proficiency in Chinese (Cantonese and Putonghua) is an advantage.

Desirable Qualifications

• Hands-on experience in research data management (planning and archiving) and data visualization, plus experience with bibliometric tools (e.g. InCites, SciVal, OpenAlex) to produce clear reports for different audiences.
• Proven ability to design and deliver engaging instruction for varied audiences; and familiarity with AI tools applicable to academic research and teaching, along with a keen awareness for their ethical implications and evolving role in research workflow.
• A demonstrated ability to work effectively across library units, with faculty, researchers and external partners, understand diverse needs and align services with strategic priorities of the Library and the University.

(Duration: 2 years, renewable)

Starting salary will be commensurate with qualifications and experience.  Fringe benefits including annual leave, medical and dental benefits will be provided.  A gratuity will be payable upon successful completion of the contract.
 

Application Procedure

In support of a green work environment, we accept applications submitted online only.  To apply, please complete an online application form through the HKUST Careers website and return it online to the Human Resources Office on or before Thursday, 30 July 2026. Applicants will receive an acknowledgement by email upon successful submission.  We thank applicants for their interest, but advise that only shortlisted candidates will be notified of the result of the application.