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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 2019 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.

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Project:  Machine learning applications for formations of cubesats
Disciplines:  Computer Science, Mechanical and Aerospace Engineering
Mentor:  Shahrouz Alimo, (JPL), shahrouz.r.alimo@jpl.nasa.gov
Background:  The Innovation to Flight (I2F) Program seeks to facilitate a rapid maturation of new concepts, and their test and validation in flight demonstrations. The program advances both mechanisms for rapid insertion of innovation into the flight (i.e. development and operation of flight platforms) and technology concepts which are to be validated in flight demos.
Description:  2019 projects focus on fast development and prototyping. Platforms for the test include a constellation of High altitude balloons (HAB), UAV, or cubesats.
Student Requirements:  The candidates assist developing the simulation environment for launching platforms. The familiarity with machine learning for onboard processing of vision data is required. Prior experience in programming embedded systems and flight platforms is desired. Exposure/experience with control algorithms, machine learning, neural network, and computer vision.
Team player
Strong C++, python software development skills (TensorFlow, Keras, Pytorch)
Strong understanding of common software performance issues and tradeoffs
Familiarity with automated testing practices
Familiarity developing on Linux/MacOSX
knowledge of data science, optimization, control, neural network


Location / Safety:  Project building and/or room locations: . Student will need special safety training: Yes.
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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