About the role
AI summarisedThis internship focuses on applying data analytics, machine learning, and statistical modeling to support Process Integration (PI) and advanced NAND technology development through data-driven project experimentation.
IDMOnsiteSTPG
Key Responsibilities
- Work on a defined project focused on exploring how data‑driven approaches can support process learning and experimentation
- Apply machine learning and statistical modeling within Process Integration for advanced NAND technology development
- Analyze process, inline, and electrical datasets to generate engineering insights
- Translate analytical findings into prototypes, analyses, and documented learnings
- Support engineering decision‑making through data-driven approaches
- Collaborate with PI engineers to translate datasets into actionable process insights
Requirements
- Currently enrolled as a student in a relevant degree program such as Data Science, Engineering, or Statistics
- Strong interest in data analytics, machine learning, and statistical modeling
- Ability to work with process, inline, and electrical datasets
- Interest in semiconductor manufacturing and Process Integration (PI)
- Capability to document and present technical findings and analytical prototypes