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Assistant or Associate Professor

Listing for: UNC-Chapel Hill
Full Time, Part Time position Listed on 2026-11-15
Job specializations:
Salary/Wage Range or Industry Benchmark: 95000 - 130000 USD Yearly USD 95000.00 130000.00 YEAR

Job Description & How to Apply Below

Position: Open Rank - Assistant or Associate Professor
Open Rank
- Assistant or Associate Professor Posting Information

Department

Department Info and Library Science - 371110

Posting Open Date

Posting Open Date 10/09/2026

Final date to receive applications

Final date to receive applications 11/16/2026

Open Until Filled No

Position Type

Position Type Permanent Faculty

Working Title

Working Title Open Rank
- Assistant or Associate Professor

Appointment Type

Appointment Type Open Rank

Vacancy

Vacancy

Full-time/Part-time

Full-time/Part-time Full-Time Permanent

Hours per week 40

FTE

FTE 1

Position Location

Position Location North Carolina, US

Hiring Range

Hiring Range Commensurate with Education and Experience

One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional opportunities that span the campus and community.

University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC
-Chapel Hill offers full-time employees a comprehensive benefits package , paid leave, and a variety of health, life and retirement plans and additional programs that support a healthy work/life balance.

Primary Purpose of Organizational Unit

The School of Data and Information Sciences ( SDIS ) was founded in 2026 by joining the School of Information and Library Science (1931) and the School of Data Science and Society (2022). SDIS brings together longstanding excellence in information and library science with leadership in data science, including computational and statistical methods and societal applications.

Home to a top ranked library and information science program, SDIS is recognized for strong teaching, research and service and is the home to the Carolina Health Informatics Program ( CHIP ) and the Center for Information, Technology and Public Life ( CITAP ). The school teaches and trains undergraduate and graduate students in information science and library science, data science, and health informatics, as well as offering certificates for adult learners.

SDIS conducts research and scholarship across the data and information life cycle, with an emphasis on human-centric, ethical and applied approaches. Committed to data, information and AI literacy for all Tar Heels, SDIS faculty are tackling our communities’ most pressing needs and our world’s most intractable challenges.

Position Summary

The Division of Information and Library Science ( DILS ) in UNC
-Chapel Hill’s School of Data and Information Sciences ( SDIS ) invites applications for an open rank 9 month tenure-track Assistant or Associate Professor position focused on the application of automated methods in cultural heritage and memory institutions broadly understood: libraries, archives, or museums, but also centers for data curation, research data management, or digital humanities. We seek a scholar-practitioner who can combine the craft work of design with the reflexive work of critique.

The successful candidate’s research will advance the understanding and use of automated methods while being deeply grounded in an understanding of cultural heritage and memory institutions and their values.

Key Responsibilities
  • Develop and maintain an active research agenda focused on the critical technical application of automated methods in cultural heritage and memory institutions, including but not limited to topics such as: designing benchmarks that reflect the missions and values of these institutions, investigating the use of open and ethically trained generative models, modeling data for both human…

Position Requirements

10+ Years work experience
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