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.
|Project:||Machine learning applications for formations of quadcopters and balloons|
|Disciplines:||Computer Science, Aerospace and Mechanical Engineering|
|Mentor:||Shahrouz Alimo, (JPL), firstname.lastname@example.org|
|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.|
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.
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 linear algebra, differential equations, and neural network
|Location / Safety:||Project building and/or room locations: . Student will need special safety training: Yes.|
This AO can be done under the following programs:
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