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 two, 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.

2019 Host Institutions and Position Descriptions

Fellows for 2019-2021 will be placed at the following institutions in the United States. All interested candidates are encouraged to apply regardless of subject expertise or geographic preference. Indiana University’s position description will be posted as soon as it becomes available. For additional fellowships in Data Curation for the Sciences and Social Sciences, see Fellowships in Academic Libraries, USAID.

Carnegie Mellon University

Indiana University