Machine Learning Biomedical Engineer Jobs in Rochester, NY

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Job Location (Full Address):

26 Gibbs Str, Rochester, New York, United States of America, 14604

Opening:

Worker Subtype:

Regular

Time Type:

Full time

Scheduled Weekly Hours:

40

Department:

300070 ESM Sibley Music Library

Work Shift:

UR - Day (United States of America)

Range:

UR URG 109

Compensation Range:

$55,955.00 - $78,336.00

Responsibilities:

The Music Librarian for Information Literacy, Outreach, and Machine Learning serves as the instructor of record for graduate-level music information literacy courses while cultivating an advanced specialization in the impact of artificial intelligence and machine learning on music scholarship and creativity. This role leads strategic outreach and social media initiatives designed to elevate the student experience and raise awareness of library resources throughout the Eastman School of Music and the broader community. The incumbent fosters cross-functional collaboration by partnering with UR Libraries, ESM departments, and transdisciplinary units such as SoundSpace and the Center for Extended Reality to ensure the library meets evolving technological and research needs. Additionally, the position supports general public services and contributes to the field through professional service at the regional and national levels.

Please submit your resume and a cover letter explaining your interest in this role and relevant experience.

ESSENTIAL FUNCTIONS

Instruction

• Teaches graduate-level music information literacy courses
• Performs other instruction such as first year writing seminars, studio visits, and individual information literacy sessions
• Depending on the needs of the school and expertise of the incumbent, teaches other courses as instructor of record
• In addition to knowledge of the relevant areas of history and theory necessary to teach those courses, cultivates or maintains an advanced, forward-looking specialization in artificial intelligence, machine learning, large language models, etc. with a focus on their impact on music performance, scholarship, composition, and creativity

Outreach

• Develops a thoughtful, relevant, and engaging programming strategy to elevate the student experience
• Coordinates with ESM Academic Affairs, the Student Life Center, and UR Libraries to bring enriching activities to Sibley and library-grounded education to other areas of ESM
• Develops social media strategies and other outreach methods in coordination with ESM and UR Libraries communications departments to raise awareness of Sibley for students and the broader community

Cross-functional collaboration with the following units

• Partners with ESM departments and programs such as Technology and Media Production, audio engineering, film and media music, the Writing Center, and others to ensure the library/information needs of users are met
• Liaises with transdisciplinary centers such as SoundSpace and Center for Extended Reality
• Participates in University Library committees as appropriate

General public services duties

• Leads tours of Sibley
• Serves as a backup for reference (in-person and electronic) interlibrary Loan fulfillment, instruction, and circulation tasks
• Advises on AI-related research queries and assists with the implementation of AI tools in discover systems

Professional service contributions at the regional and national levels

• Participates in professional association committees, working groups, task forces, etc. that connect with work at Sibley
• Presents research in the form of papers, articles, reviews, and similar outputs or equivalent artistic activity in performance and composition
• Other committee work with departments at the University of Rochester relevant to the position at Sibley

Other duties as assigned

MINIMUM EDUCATION & EXPERIENCE

• Master's in library science from ALA-accredited institution required
• Master's in music preferred
• Doctorate in music preferred
• 2 years of relevant experience in library, music, or technology sector industries required
• Or equivalent combination of education and experience

KNOWLEDGE, SKILLS AND ABILITIES

• Familiarity with artificial intelligence, large language models, machine learning, and application to music studies; knowledge of music history and theory and facility with major European languages, latest methods of research, music technologies, artificial intelligence, Library of Congress subject headings, library technology applications, discovery systems, ability to work effectively with library and faculty colleagues, and to communicate clearly, both orally and in writing; required

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