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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.

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Project:  Contamination Control Analysis
Disciplines:  Physics/Applied Physics, Materials Engineering
Mentor:  John Alred, (JPL), john.alred@jpl.nasa.gov, Phone: (818) 354-5514
Background:  Spacecraft contamination control is a critical discipline that enables the achievement of mission objectives in space exploration. The recently launched Mars 2020 mission as well as the upcoming Psyche, Europa Clipper, and SPHEREx missions all face unique challenges resulting from molecular and particulate contaminants. These missions have contamination requirements orders-of-magnitude more stringent than past missions. Solving such challenges requires a combination of analysis and experimental data collection.
Description:  JPL Contamination Control (CC) uses a variety of computational capabilities to model the generation and transport and effects of contamination across all mission phases and environments. Interns will have the opportunity to utilize and develop the codes used for this computational analysis. To supplement the computational capabilities, JPL CC performs novel experimental tests to develop a comprehensive understanding of the contamination phenomenon. Physical models and machine learning algorithms are applied to analyze experimental data and make predictive models for contamination control. There is the opportunity for interns to perform hands-on work by collecting and analyzing experimental data to characterize the contamination properties of new materials and flight hardware.
References:  https://www.jpl.nasa.gov/missions/europa-clipper/
https://www.jpl.nasa.gov/missions/mars-2020/
https://www.jpl.nasa.gov/missions/psyche/
https://www.jpl.nasa.gov/missions/spherex
Student Requirements:  Contamination control is very multidisciplinary; a science or engineering major with a basic background in material science or chemistry is preferred. Anticipated project requires scripting and the ability to learn a scientific programming language such as Python or MATLAB. The ability to learn to use a command-line interface to access high-performance computing resources is preferred. Background in a CAD software is also preferred.
Location / Safety:  Project building and/or room locations: . Student will need special safety training: .
Programs:  This AO can be done under the following programs:

  Program    Available To
       SURF    both Caltech and non-Caltech students 

Click on a program name for program info and application requirements.


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