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.
|Project:||Probing Quantum Materials at the Atomic Scale|
|Disciplines:||Applied Physics, Physics|
Herbert Fisk Johnson Prof. of Industrial Chemistry, (EAS),
|Mentor URL:||http://schlom.mse.cornell.edu (opens in new window)|
|AO Contact:||Prof. Lena Kourkoutis, email@example.com|
NOTE: This project is being offered by a Caltech alum and will be conducted at Cornell University in Ithaca, New York. Only Caltech students are eligible for this project. Additionally, due to the funding source supporting this project, students must be U.S. citizens or U.S. permanent residents.
Modern electron microscopes have enabled imaging of materials with exceptional detail. Today, the structure, chemistry and bonding of crystalline materials such as those grown in PARADIM's thin film and bulk crystal growth facilities can be probed down to the atomic scale. Scanning transmission electron microscopy (STEM) in particular is a powerful technique to understand the role of interfaces, defects and picometer scale atomic lattice distortions in these systems.
|Description:||In this project, you will be working with the world's highest resolution microscope to study new quantum materials grown at PARADIM. You will also be using and developing Python based analysis code to extract key information from the large datasets generated during a typical STEM experiment.|
Basics of coding-based data processing (Python preferred)
Creative thinking, problem solving, and attention to detail
This AO can be done under the following programs:
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