Fellowships in Data Curation for the Sciences and Social Sciences

Information for Applicants

The CLIR/DLF Postdoctoral Fellowship in Data Curation for the Sciences and Social Sciences is an expansion of the CLIR Postdoctoral Fellowship Program in Academic Libraries. These eight, partially-funded fellowships will provide recent Ph.D.s with professional development, education, and training opportunities in software and research data curation. Through this program, CLIR seeks to raise awareness and build capacity for sound data management practice throughout the academy.

Each fellowship is a two-year appointment, with a commensurate salary, plus benefits, and a yearly travel and research stipend.

Who May Apply

Recent Ph.D.s from any discipline with relevant expertise in the sciences and social sciences are encouraged to apply, so long as they meet the eligibility criteria for the Postdoctoral Fellowship Program.

2018 Host Institutions and Position Descriptions

Fellows for 2018-2020 will be placed at diverse institutions in the United States and Canada. All interested candidates are encouraged to apply regardless of subject expertise or geographic preference. Fellows will be placed at the following institutions in 2018.

Carnegie Mellon University

Indiana University

Pennsylvania State University–position filled

University at Buffalo–position filled

University of California, Merced–position filled

University of Oklahoma–position filled

University of Pennsylvania–position filled

University of Waterloo–position filled