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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 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.

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Project:  Uncertainty Assessment of the Performance Attributes and Reliability of a Command & Data Handling Processor Board with Complex Active Components
Disciplines:  Electrical Engineering and Computer Science, Reliability Engineering
Mentor:  Mark White, (JPL), Mark.White@jpl.nasa.gov, Phone: (818) 393-4173
Background:  The mathematical generation of physics-based continuous reliability models for semiconductor devices involves advanced knowledge of reliability engineering principles. To more accurately evaluate the constituent discrete elements of a design requires advanced physics-based models that take in to account physics-of failure (PoF) based mechanisms that may not be statistically independent. Such assumptions may be potentially misleading and can lead to inaccurate results because correlated failures can reduce the reliability of the system. Therefore, techniques to quantify the impact of failure correlation on discrete component-based designs are needed to reduce uncertainty in reliability prediction of the system to be analyzed.
Description:  This project seeks to better predict the reliability and time-to-fail (TTF) of a JPL internally designed C&DH Processor Board built with commercial off-the-shelf (COTS) components, hereafter referred to as the System. The student will utilize her deep understanding of reliability physics, modeling and computer engineering/science to research and investigate the impact of correlated failures and construct continuous reliability models for the system of non-identically distributed correlated components. A universal generating function-based multi-state system performance model, subject to correlated failures, will be the focus of the research throughout the summer internship.
References:  https://nepp.nasa.gov/files/16365/08_102_4_ JPL_White.pdf
Student Requirements:  Failure Cause-and-Effect Relationships; Correlated Component Failures; Coherent Systems Analysis; Maximum Likelihood Estimation; Homogeneous and Non-Homogeneous Poisson Process (NHPP); Reliability Engineering of Discrete Components and Systems; Fault-Tolerant Designs and Networks; Modular Imperfect Fault Coverage; Dependent Failures; Sensitivity Analysis; Discrete and Continuous Time Markov Chains; General Dynamic Bayesian Networks (GDBN); Failure Mechanisms and Models for Semiconductor Devices; Modeling Common Cause Failures. Statistical Inference from Incomplete Data; Simulation Modeling.
Location / Safety:  Project building and/or room locations: . Student will need special safety training: No.
Programs:  This AO can be done under the following programs:

  Program    Available To
       SURF    Caltech students only 

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


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