The East Asian and Near Eastern library holdings at Princeton are long-established and world-class collections which include print, digital, video and other formats along with extensive rare book and manuscript materials. The collections cover a broad range of subjects with an overall emphasis on history, literature, art and religion. Princeton University Library is seeking candidates to lead a newly-combined team of professional experts and highly-skilled support staff in the creation and management of metadata critical to the effective use of the Library’s collections.
For more information about these two collections: https://library.princeton.edu/eastasian/about https://libguides.princeton.edu/NECollections/home
The successful candidate will:
The Princeton University Library is one of the world’s leading research libraries. It employs a dedicated and knowledgeable staff of more than 300 professional and support staff working in a large central library, 9 specialized branches, and 3 storage facilities. The Library supports a diverse community of 5,200 undergraduates, 2,800 graduate students, 1,200 faculty members, and many visiting scholars. Holdings include more than 10 million printed volumes, 5 million manuscripts, 2 million non-print items, and extensive collections of digital text, data, and images. More information: http://library.princeton.edu/
Required: MLS combined with an academic background in either East Asian or Middle Eastern studies; or an advanced degree in East Asian or Middle Eastern studies with an emphasis on a relevant language, literature, culture, and history; strong reading knowledge in one of the team’s primary languages (Chinese, Japanese, Korean, Arabic, Persian, Hebrew); fluency in English with excellent oral and written communication skills; 3 years of supervisory experience; familiarity with encoding and searching issues for non-roman scripts;
cataloging experience in an academic library.
Strongly preferred: Knowledge of Arabic or Chinese, including their library romanization systems; reading knowledge of more than one of the team’s primary languages.
Preferred: Experience mapping data for re-use; familiarity with linked data concepts and standards; experience with workflow and project planning.
commensurate with experience
Princeton, NJ, USA
The successful candidate will be appointed to an appropriate rank depending upon qualifications and experience. Applications will be accepted only from the AHIRE website: http://dof.princeton.edu/academicjobs and must include a resume, cover letter, and a list of three references with full contact information. This position is subject to the University’s background check policy.