Open Rank - Assistant or Associate Professor
Application Deadline: November 16, 2026
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.
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 and automated use, or grounding agentic workflows in trusted metadata infrastructures.
Teach courses on topics related to the ethical design and implementation of automated systems, contributing to the core curricular requirements of both undergraduate and graduate degree programs at DILS. These would include technical courses as well as courses that critically examine the relations between automated methods and cultural heritage and memory institutions.
Mentor and advise graduate and undergraduate students, guiding them in applied research and interdisciplinary projects.
Publish scholarly publications in high-quality, peer-reviewed venues and/or produce tools that prove their worth through wide adoption.
Seek external funding to support innovative research.
Engage in service activities within the division, the school, the university, and the broader academic community.
Required qualification:
A PhD (or equivalent degree) in information and library science, data science, computer science, or a closely related discipline.
A promising record of research productivity in the application of automated and algorithmic methods in cultural heritage and memory institutions, as demonstrated by publications, presentations, or adopted tools.
A commitment to excellence in teaching and mentoring, with experience or demonstrated potential to teach both undergraduate and graduate courses, including contributions to the core curriculum.
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