Students with research interests in scientific data management, sharing and reuse have a unique opportunity to participate in the Open Data fellowship program. Open Data is an Integrative Graduate Education and Research Traineeship (IGERT) sponsored by NSF. Open Data fellows engage in a vibrant set of research activities at the University of Michigan in the conduct of responsible data-intensive science and engineering involving faculty and doctoral students from SI, Computer Science and Engineering, Bioinformatics, Materials Science, and Chemical Engineering.
The Open Data fellowships are designed to build a new community of practice around open sharing and reuse of scientific data through inter-disciplinary collaborative research, campus-based seminars and forums, and travel to research conferences. The Open Data program supports students throughout their doctoral program with:
- Fellowships (tuition plus a $30,000 stipend) for two years. (Funding for additional years will generally be available through research assistant and graduate student instructor awards for students in good standing).
- Funding for computing and travel needs,
- One core course and an advanced elective course,
- A bi-weekly research seminar and an annual research workshop,
- Opportunities for fellows to form collaborative research teams, co-advised by faculty from at least two of the participating programs.
Fellowships Funding for the Open Data program is available only to U.S. citizens and permanent residents. Students should apply directly to the participating doctoral program and indicate an interest in an Open Data fellowship in the application: School of Information, Computer Science, Bioinformatics, Materials Science, Chemical Engineering.
For more information, write to: email@example.com.