Announcements of Opportunity
SURF: Announcements of Opportunity
Below are Announcements of Opportunity posted by Caltech faculty and JPL technical staff for the SURF 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! Remember: This is just one way that you can go about identifying a suitable project and/or mentor. Click here for more tips on finding a mentor.
Announcements for external summer programs are listed here.
New for 2021: 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.
|Project:||Investigating the spectral properties of Mt. Sharp with ChemCam passive spectra|
|Disciplines:||Planetary Science, Mathematics|
|Mentor URL:||rachelsheppard.com (opens in new window)|
|Background:||The ChemCam laser induced breakdown spectrometer on the Curiosity rover measures reflected spectral radiance from the Martian surface every time it takes an active laser observation. Over 23,000 spectra were collected during the first 2,000 sols of the mission. This project will focus on analyzing this rich dataset to learn more about the spectral and compositional properties of rocks and soils along Curiositys traverse.|
This project will focus on characterizing and analyzing the ChemCam passive spectra and comparing them with orbital spectra. Specific tasks will include:
Use high resolution images from ChemCams remote mast imager to associate spectra collected in the last year and a half with geologic classes (rocks, veins, soils, etc.)
Explore numerical methods to group spectra into representative spectral classes (e.g. autonomous classifications, cluster analyses, etc.)
Compare spectral properties observed by Curiosity with orbital spectral datasets
Search for correlations between passively measured spectral properties and chemical trends from active laser observations
Experience coding with either Python, IDL, Matlab, or similar
Experience in remote sensing preferred
|Location / Safety:||Project building and/or room locations: . Student will need special safety training: .|
This AO can be done under the following programs:
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