NASA Student Airborne Research Program (SARP) 2022
The NASA Airborne Science Program invites highly motivated advanced undergraduates who will be rising seniors in summer 2022 to apply for participation in the 14th annual NASA Student Airborne Research Program (SARP 2022). Students will work in multi-disciplinary teams to study surface, atmospheric, and oceanographic processes. Participants will fly onboard a NASA research aircraft and assist in the operation of instruments to sample and measure atmospheric gases and aerosols and to image land and water surfaces in multiple spectral bands. Along with airborne data collection, students will participate in taking measurements at field sites. Each student will complete an individual research project from the data collected.
Outstanding faculty and staff for this program will be drawn from several universities and NASA centers, as well as from NASA flight operations and engineering personnel.
The eight-week program begins June 12, 2022 and concludes August 5, 2022.
Instrument and flight preparations, and the research flights themselves, will take place during the first two weeks of the program at NASA’s Armstrong Flight Research Center, in Palmdale, CA. Post-flight data/laboratory analysis and interpretation will take place during the final six weeks of the program at the University of California, Irvine.
SARP participants will receive a stipend, a travel allowance, and free housing and local transportation during the 8-week program in California.
Applicants must be US citizens.
For more information and to apply:
Program Video:
Program flyer:
https://baeri.org/wp-content/uploads/2021/10/SARP_2022_Flyer.pdf
Email questions to:
**We are making every effort to have SARP 2022 be an in-person program. However, it may be necessary to shift part or all of the program to virtual due to the pandemic (as we did in summer 2020 and 2021). SARP 2020 and 2021 featured at-home air and aerosol measurements along with analysis of previously collected NASA airborne, satellite, and ground data.**
——————————