SURF: Announcements of Opportunity
Below are Announcements of Opportunity posted by Caltech faculty and JPL technical staff for the SURF program. Additional AOs for the Amgen Scholars program can be found here.
Specific GROWTH projects being offerred for summer 2018 can be found here.
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.
Announcements for external summer programs are listed here.
Students pursuing opportunities at JPL must be
U.S. citizens or U.S. permanent residents.
|Project:||Enhancing Analytics for Large-Scale Hybrid Cloud Science Data Systems|
|Disciplines:||Computer Science, SAR processing and analysis|
|Background:||ARIA (Advanced Rapid Imaging and Analyses) project is a collaboration between JPL and Caltech to exploit radar and optical remote sensing, GPS, and seismic observations for hazard science and response. ARIA investigates the processes and impacts of earthquakes, volcanoes, landslides, fires, subsurface fluid movement and other natural hazards by applying modern geodesy, merged with ground-based observations, to improve society's resilience. ARIA develops state-of-the-art ground deformation measurements, change detection methods and physical models using GPS and synthetic aperture radar observations, automating the required large scale processing, and producing basic data products for the science community.|
To facilitate ARIA science data processing, a Hybrid Cloud Science Data System (HySDS) was developed to support large-scale and cloud-based ingestion, metadata extraction, cataloging, high-volume data processing, provenance management, and publication of science data products.
Students will work with the HySDS team to develop cloud economics analytics tools that can provide real-time analytics of cloud computing-based science data processing. Students will work closely with the operations team to develop useful tools for assessing real-time information on science data production ETA, costs, remaining time per job type, usage analytics, etc.
|Location / Safety:||Project building and/or room locations: . Student will need special safety training: No.|
This AO can be done under the following programs:
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