Assistant/Associate Professor/Professor in the School of Information

Michigan, United States
29 Oct 2018
End of advertisement period
10 Jan 2019
Contract Type
Full Time

How to Apply

All applicants should submit a cover letter, a vita, three representative publications, evidence of teaching excellence, a statement of teaching philosophy and experience, a statement of current and future research plans, contributions to diversity, and three letters of recommendation. All application materials must be submitted electronically to: . Please direct enquiries about this position to the chair of our faculty search committee, Dr. Kevyn Collins-Thompson ( This is a rolling search and we plan to make offers as qualified candidates are identified. Consideration of applications will begin immediately.

Job Summary

The School of Information at the University of Michigan (UMSI) seeks tenure-track professors at the assistant, associate or full level in the multidisciplinary areas of digital curation, archival studies, and scientific data use and reuse. UMSI seeks applicants who can contribute to the research, teaching, and service missions of the school and the university. We anticipate a multi-year search with the possibility of multiple offers. Broadly construed, the research areas of interest include: digital curation technologies and methods; digital representation and interpretation of archival content and collections; open science and scholarship; provenance of data or archival records ; integrity and user acceptance of digital archives; metadata and information organization; and the economics of long-term sustainability. Examples of particular areas of focus include, but are not limited to:

  • Metrics and methods to determine the quality of data that originate from informal sources, such as social trace data (e.g., Facebook, twitter, etc.), crowdsourcing, and citizen science.
  • Models to trace the provenance of digital data or born-digital records, and correspondingly, developing methods to automatically infer that provenance from context and reason about actions based on it.
  • Ontologies and models (general and domain-specific) that make it possible to conceptualize, act, and reason about data in a more atomic and structured fashion.
  • Digital forensics (media diagnostics, data recovery, analysis) for post-hoc extraction of characteristics, provenance, quality characteristics, etc. from data for purposes of security, evidence, and the like.
  • Policy, algorithmic, organizational, and practice-based methods to mitigate privacy problems with digital data.
  • Incentives and models for sustainable digital archives.
  • Novel approaches for supporting preservation and access of born digital materials.
  • Models for promoting trust and quality in digital repositories.
  • Novel approaches to supporting interdisciplinary data reuse and integration.
  • The development, application and evolution of data and metadata standards over time,and by different user communities.
  • Data for social good.

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 50 FTE professors, and over 800 students. We offer four degrees: a Ph.D.; a Master of Science in Information; a Master of Health Informatics; and a Bachelor of Science in Information. In the fall of 2019 we expect to launch a new online degree: 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 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 $2.1 billion and an endowment valued at more than $10.9 billion. For more information about UMSI or other job opportunities please visit


Each contributing member of the UMSI faculty is expected to have teaching effort equivalent to three residential courses per year. In addition to formal classroom and/or online teaching, faculty are expected to work with students by serving as advisors for independent studies, master’s projects and theses, and doctoral dissertations. Job duties include teaching, research and service. Additional job responsibilities include but are not limited to:

Conducting scholarly research resulting in publications in peer reviewed journals, book chapters, edited books, books, and conference papers

Seeking outside funding to support their research

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

Required Qualifications*

  • Ph.D. in an area such as information, computer science, the humanities, social sciences, or other relevant area
  • A strong interest in teaching at the undergraduate and graduate level
  • A proven record in teaching and research is desirable
  • A strong commitment to teaching, interdisciplinary research, and cultural diversity

Underfill Statement

This position is posted as Assistant Professor/Associate Professor/Professor. The rank of the selected candidate will depend upon candidate qualifications.

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.