Announcements of Opportunity
Special Note for SURF@JPL 2024
JPL is operating under a continuing resolution (meaning they are waiting for approval from Congress of NASA's 2024 budget). Additionally, due to other factors, JPL is concerned about a potential budget decrease. This will impact the number of summer internships available. We are working closely with JPL leadership to minimize the impact, but you can expect that AOs will likely not get posted until later this term. To accommodate this later timeline we will offer a second SURF@JPL application deadline. (This extension is for SURF@JPL only.)
- Students who find a JPL mentor early are encouraged to apply by the regular February 22 deadline. For applicants who meet this deadline, awards will be announced on April 1.
- Students who find a JPL mentor later will need to apply by April 19. Awards for this round of applications will be announced on May 6.
Students are also encouraged to apply to the JPL SIP program, which has an application deadline of March 29. For more information about SIP, visit: https://www.jpl.nasa.gov/edu/intern/apply/summer-internship-program
SURF@JPL: Announcements of Opportunity
Announcements of Opportunity are posted by JPL technical staff for the SURF@JPL program. Each AO indicates whether or not it is open to non-Caltech students. If an AO is NOT open to non-Caltech students, please DO NOT contact the mentor.
Announcements of Opportunity are posted as they are received. Please check back regularly for new AO submissions!
**Students applying for JPL projects should complete a SURF@JPL application instead of a "regular" SURF application.
**Students pursuing opportunities at JPL must be U.S. citizens or U.S. permanent residents.
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Project: |
Astrochemistry with the Deep Space Network
(JPL AO No. 15245)
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Disciplines: | Astronomy/Astrophysics, Data Science | ||||||||
Mentor: |
Dariusz Lis,
(JPL),
Dariusz.C.Lis@jpl.nasa.gov, |
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Mentor URL: | https://science.jpl.nasa.gov/people/lis/ (opens in new window) | ||||||||
Background: | Spectral signatures of over 240 molecules, the majority organic, have been detected in star and planet forming regions using radio telescopes. An important area of current study is understanding the role these molecules play in seeding the chemical composition of solar and extrasolar planetary systems. Recent progress has been accelerated by radio observations at low frequencies (< 45 GHz) where large, heavy molecules have many rotational transitions. Observations of gas-phase molecules using the 70-m antenna at the Canberra Complex of the Deep Space Network are highly complementary to James Webb Space Telescope MIRI spectroscopic studies of the composition of interstellar ices and of gas-phase molecules in star forming regions. Combining these different observations will aid understanding the role chemistry plays in the composition of protoplanetary regions. | ||||||||
Description: | Heavy molecules, including aromatics, have many spectral lines at radio wavelengths that are too weak to be detected individually. However, the spectra can be stacked to improve the sensitivity. The student will implement Markov Chain Monte Carlo (MCMC) fitting and spectral line stacking techniques and apply them to the analysis of DSN molecular spectra of star-forming regions. | ||||||||
References: | Loomis, R.A., et al. 2021, Nature Astronomy 5, 188 (https://ui.adsabs.harvard.edu/abs/2021NatAs...5..188L/abstract). | ||||||||
Student Requirements: | Python programming skills. | ||||||||
Location / Safety: | Project building and/or room locations: . Student will need special safety training: . | ||||||||
Programs: |
This AO can be done under the following programs:
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