Intern - NTI Process Integration - AI Track

This internship project is designed to provide students with hands‑on learning exposure to data analytics, machine learning, and statistical modeling applied within Process Integration (PI) for advanced NAND technology development. The intern will work on a defined project focused on exploring how data‑driven approaches can support process learning, experimentation, and engineering decision‑making. Through this project, the intern will gain exposure to process, inline, and electrical datasets, and learn how analytical insights can be translated into prototypes, analyses, and documented learnings relevant to PI engineers.

• Build and evaluate data‑driven models to support PI outcomes such as cycle‑time reduction, faster learning loops, and process optimization.
• Perform statistical analysis of split experiments (e.g., DOE‑related analysis), including data preparation, feature engineering, and model interpretation...