SULI - AMD - Gonzalez, William - 2.16.26
About The Position
The candidate will work with Argonne’s Interfacial Mechanics & Materials Group to study tribological performance and failure modes in sliding contacts. Using benchtop tribometers; characterization tools such as optical microscopy and white-light interferometry; in situ X-ray measurements at the Advanced Photon Source (APS); and, when needed, supercomputing resources, the project will track key tribological metrics (e.g., friction evolution) and map surface/subsurface damage and microstructural changes. The candidate will assist with experiments, specimen preparation and characterization, and data processing and reporting, including developing and optimizing Python codes/workflows to automate and accelerate data analysis. Education and Experience Requirements The entirety of the appointment must be conducted within the United States. Applicants must be: ‒ Currently enrolled in undergraduate or graduate studies at an accredited institution. ‒ Graduated from an accredited institution within the past 3 months; or ‒ Actively enrolled in a graduate program at an accredited institution. Must be 18 years or older at the time the appointment begins. Must possess a cumulative GPA of 3.0 on a 4.0 scale. Must be a U.S. citizen or Legal Permanent Resident at the time of application. If accepting an offer, must pass a screening drug test
Requirements
- The entirety of the appointment must be conducted within the United States.
- Currently enrolled in undergraduate or graduate studies at an accredited institution.
- Graduated from an accredited institution within the past 3 months; or
- Actively enrolled in a graduate program at an accredited institution.
- Must be 18 years or older at the time the appointment begins.
- Must possess a cumulative GPA of 3.0 on a 4.0 scale.
- Must be a U.S. citizen or Legal Permanent Resident at the time of application.
- If accepting an offer, must pass a screening drug test
Responsibilities
- Assist with experiments
- Specimen preparation and characterization
- Data processing and reporting
- Developing and optimizing Python codes/workflows to automate and accelerate data analysis
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
