Energy & Materials Intern — Materials Representation Learning for Accelerated Design

This internship involves developing and evaluating machine learning-based material representations to accelerate materials design, focusing on integrating signals from various characterizations and properties to support property prediction and inverse design workflows in the field of materials science.