SULI - AMD - Meng, Alice - 3.12.26
About The Position
This research project will focus on developing machine learning (ML) approachesto enable the prediction of colloidal ink properties and the inverse design of inkformulations for energy storage and conversion applications. Colloidal inks arethe foundation of coating-based manufacturing for many energy technologies,such as lithium batteries and fuel cells. However, formulating inks from newmaterials is time-consuming due to the complex interactions among solvents,polymers, and particles, as well as their shear-dependent behavior duringdeposition. In this project, we will develop ML models that correlate inkcomposition with rheological properties using both historical ink data and AI-guided experimental design. Students will have the opportunity to participate inink synthesis and characterization, as well as ML model development. Training andguidance will be provided.
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
- ink synthesis and characterization
- ML model development
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
