NASA's Postdoctoral Program lets researchers work with top scientists at NASA, doing important research.
NRC Research Associateship Programs has archived this opportunity.
Funder: NRC Research Associateship Programs
Due Dates: February 1, 2025 | May 1, 2025 | August 1, 2025 | November 1, 2025
Funding Amounts: Typical stipend around $58,000 per year with additional travel and relocation allowances; awards generally 2-3 years in duration.
Summary: Provides postdoctoral and senior researchers opportunities to conduct cutting-edge research at NASA and other federal labs, collaborating with leading scientists on projects of national importance.
Key Information: Open to U.S. citizens, permanent residents, and non-U.S. citizens; applicants must have a doctoral degree; requires contacting a Research Adviser prior to application; multiple review cycles per year.
The NASA Postdoctoral Program, administered through the NRC Research Associateship Programs (RAP), offers postdoctoral and senior researchers the chance to collaborate with top scientists at NASA centers and other federal laboratories. The program supports innovative, self-directed research projects aligned with the goals of sponsoring laboratories, focusing on areas of national scientific and engineering importance.
Applicants conduct research on-site at NASA or affiliated federal labs, gaining access to state-of-the-art facilities and mentorship from established researchers. The program aims to foster professional growth, enhance research capabilities, and contribute to the scientific missions of the host agencies.
One highlighted opportunity under this program is at the National Oceanic and Atmospheric Administration (NOAA) Atlantic Oceanographic and Meteorological Laboratory in Miami, FL. This research focuses on the Atlantic Meridional Overturning Circulation (AMOC) and its influence on global monsoon circulations and extreme weather events. The work involves understanding AMOC variability, flow pathways, and its role in climate variability on decadal timescales using coupled general circulation models.