Amgen Scholars: Announcements of Opportunity
Below are Announcements of Opportunity posted by Caltech faculty for the Amgen Scholars program.
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. For additional tips on identifying a mentor click here.
Please remember:
- Students pursuing Amgen must be U.S. citizens, U.S. permanent residents, or students with DACA status.
- Students pursuing Amgen must complete the 10-week program from June 21 - August 25, 2023. Students must commit to these dates. No exceptions will be made.
- Accepted students must live in provided Caltech housing.
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Project: | When Digital Image Correlation Meets Machine Learning | ||||||||
Disciplines: | Mechanical Engineering, Civil Engineering, Aerospace Engineering | ||||||||
Mentor: |
Jin Yang,
Assistant Professor, (EAS),
jin.yang@austin.utexas.edu, |
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Mentor URL: | https://sites.utexas.edu/yang/ (opens in new window) | ||||||||
Background: | NOTE: This project is being offered by a Caltech alum and is open only to Caltech students. The project will take place at the University of Texas, Austin, in Austin, Texas. | ||||||||
Description: | Leveraging state-of-the-art machine learning and data-driven methods to improve 2D and 3D full-field deformation measurement (e.g., digital image correlation, digital volume correlation, particle tracking) and other material characterization experimental techniques. Students will perform either hands-on mechanical characterization experiments or develop state-of-the-art machine learning-based computational methods. | ||||||||
References: | https://sites.utexas.edu/yang/research/ | ||||||||
Student Requirements: | Linear Algebra, Calculus, Statics, Dynamics, Mechanics of Solids, Finite element method, Machine Design, Experimental Methods | ||||||||
Programs: |
This AO can be done under the following programs:
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