Posted to IASSIST on: 2015-10-30
Employer: University of Michigan, School of Information
Employer URL: https://www.si.umich.edu/
The School of Information at the University of Michigan (UMSI) seeks to hire a tenure-track professor at the Assistant or Associate Professor rank who conducts research in the multidisciplinary field of digital curation. Broadly construed, digital curation research includes digital curation technologies and methods, representation and interpretation of heterogeneous digital content and collections, integrity and user acceptance, interoperability, and long-term sustainability.
We favor candidates with strong interest and expertise in:
- Methods to assess and improve the quality of data that originate from formal and informal sources, such as research data, social media trace data, and citizen science
- 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
- 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 a more atomic and structured fashion
- Policy, algorithmic, organizational, and practice-based methods to mitigate privacy and security problems with digital data
For all UMSI positions, we favor candidates whose research interests complement 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 recently announced $100M investment in data science (http://midas.umich.edu).
- Ph.D. in an area such as information science, archival science, computer science, informatics or fields related to digital curation including social science
- Demonstrated potential for successful teaching at the undergraduate and graduate levels
- Demonstrated potential for high scholarly impact
- A strong commitment to teaching, interdisciplinary research, and cultural diversity
Archived on: 2015-11-04