Assistant Professor in Digital Curation

The University of Michigan School of Information (UMSI) seeks a tenure-track faculty at the Assistant rank who conducts research in the multidisciplinary fields of digital curation, eScience, and big data. The anticipated starting date for this university-year appointment is September 1, 2017.

How to Apply
Review of applications will begin November 15, 2016 and continue until the position is filled.  All applicants should send a cover letter, a vita, three representative papers, a statement of teaching philosophy and experience, a statement of current and future research plans, and three letters of recommendation.  All application materials must be submitted electronically to For questions about potential fit and your application, please contact Dr. Carl Lagoze at

Job Summary
For all UMSI positions, we favor candidates whose research interests complement and integrate with our existing expertise in such areas as computer-supported cooperative work; digital archives and preservation; human-computer interaction; incentive-centered design and information economics; information seeking, sharing and use; Internet-scale data, network and text analysis; social computing and informatics; and health informatics.  This new faculty position provides the opportunity for interdisciplinary collaboration in the context of the University’s  >$100M investment in data science (

As data in its many forms becomes integral to all areas of research, fundamental research problems arise such as  representation, interpretation, and semantics of heterogeneous digital content and collections; the integrity and quality of data; interoperability of multi-sourced data; long-term sustainability; human factors in data production, sharing, and reuse; and infrastructures to support curation. Researchers investigating these areas employ a range of methodologies including computational, experimental, ethnographic, and system and tool building.  While we encourage applications from researchers throughout this broad area, we are particularly interested in candidates with strong interest and expertise in:

  • Knowledge organization, including the application of ontologies and semantic methods to describe and classify various forms of digital objects.
  • Process, workflows, provenance in science and scholarship as tools in analysis, quality assessment, and reasoning about data and their relationships.
  • Incentives for data sharing and models for reuse of digital data.
  • eScience, eScholarship, scholarly communication, and science policy in the context of changes in science practice in response to big data.
  • Digital preservation and archives, digital humanities, and socio-technical aspects of infrastructure to support data-centric research.

Required Qualifications

  • Ph.D. in computer science, information science, archival science, informatics, or other fields related to digital curation and data management.
  • Demonstrated ability to collaborate with researchers engaged in the full spectrum of technical, policy, and human factors facets of data curation.
  • Demonstrated potential for successful teaching at the undergraduate and graduate levels.
  • Demonstrated potential for high scholarly impact.
  • A strong commitment to interdisciplinary and culturally diverse research

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. Women and minorities are encouraged to apply.  The University is supportive of the needs of dual career couples.