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Tenure-Track or Tenured Faculty in Archives and Digital Curation

University of Michigan, School of Information

University of Michigan, School of Information

Application Deadline: December 01, 2023.

The University of Michigan School of Information seeks qualified tenure-track faculty candidates (open rank) to broaden existing scholarship within the school and the U-M community in the multidisciplinary area of archives and digital curation. Broadly construed, research in this area includes: understanding the application of digital curation technologies and methods in data repositories, archives, libraries, museums, and other knowledge organizations; the representation and interpretation of heterogeneous digital content and collections; interoperability, integrity and trustworthiness of archives and legacy data; leveraging digitized archives for community-oriented work; and data curation and digital preservation. Ideal candidates for this position will demonstrate a national profile and research portfolio that contributes to the socio-technical aspects of archives and digital curation and intersects with, and contributes to, community archives and data practices that address decolonial, anti-racist, and social justice work.

We seek candidates with strong research interest and expertise in areas such as:

  • Critical archival studies that examine the representation and management of digital collections for underserved communities;

  • Decolonial approaches to support community information services, relationships, usability, and accessibility of digital collections;

  • Tools, techniques, and policies that leverage archival data and legacy collections to promote digital equity and address racial, political, economic, and other social inequalities;

  • Data preservation and trustworthiness over the long term, and corresponding issues regarding data uses and reuses;

  • Incentives for data sharing and models for reuse of digital data;

  • Ontologies and models (general and domain-specific) that make it possible to conceptualize, act, and reason about data in automated ways;

  • Models and methods to extract and trace data provenance, and correspondingly, methods to use provenance in analysis, quality assessment, and reasoning about, linking, and retrieving data; and

  • Ethical, policy, algorithmic, organizational, and practice-based methods to mitigate privacy and security concerns with digital legacy data.

The successful candidate should demonstrate potential for, or experience with, publication and research funding, collaborative and interdisciplinary initiatives, and working with students from diverse backgrounds. We anticipate the successful candidate will start in Fall 2024.

Job Expectations and Responsibilities:

Job duties include research, teaching, and service. Job responsibilities include but are not limited to:

  • Conduct scholarly research resulting in publications in peer reviewed journals, book chapters, edited books, books, and conference proceedings

  • Seek outside funding to support their research program

  • Teach in UMSI’s five academic programs

  • Mentor students for independent studies, master’s projects and theses, and doctoral dissertations

  • Provide service to the school, University, and the broader academic community by way of committee work, journal editing, community engagement, and other various opportunities

Each contributing member of the UMSI faculty is expected to have teaching effort equivalent to three semester-long courses per year.

About UMSI and UM

The mission of the School of Information is to create and share knowledge to help people use information -- with technology -- to build a better world. A successful candidate will be committed to, and will directly contribute to, our goal of being the best research and teaching institution for the understanding and design of information and its technologies in service of people and society. The School is home to vibrant research and teaching programs, with 74 FTE professors, and over 1,803 students. We offer five degrees: a Ph.D., a Master of Science in Information, a Master of Health Informatics, a Bachelor of Science in Information, and an online Master of Applied Data Science.

Founded in 1817, the University of Michigan has a long and distinguished history as one of the first public universities in the nation. It is one of only two public institutions consistently ranked among the nation's top ten universities. The University has one of the largest health care complexes in the world and one of the best library systems in the United States. With more than $1.53 billion in research expenditures annually, the University has the second largest research expenditure among all universities in the nation. The University has an annual general fund budget of more than $2.3 billion and an endowment valued at more than $12.5 billion. For more information about UMSI, please visit:

Minimum Qualifications

  • Ph.D. in an area such as information, library and information science, race and/or ethnic studies, science and technology studies, social or computer science, or a related discipline

  • Potential for or demonstrated ability for exemplary teaching at the undergraduate and/or graduate levels

  • A strong commitment to interdisciplinary research and cultural diversity

Desired Qualifications

  • A record in teaching and research

How to Apply:

All applicants for this position should submit a cover letter, a vita, three representative publications, evidence of teaching excellence if available, a research statement, a teaching statement, and a diversity statement. Applicants at the assistant professor level must submit three letters of recommendation; applicants at the associate and full professor level must submit the names of three recommenders. All application materials must be submitted electronically to:

Please direct inquiries about this position to the chair of our faculty search committee, Ricky Punzalan (

Consideration of applications will begin immediately. Applications must be submitted by December 1, 2023, for consideration as the job posting will close for review.

Background Screening

The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks.

Background checks will be performed in compliance with the Fair Credit Reporting Act.

U-M EEO/AA Statement

The University of Michigan is an equal opportunity/affirmative action employer.


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