About the role
AI summarisedProcess Integration intern at Micron, focusing on applying data science and AI to accelerate NAND technology development. Responsibilities include building data-driven models, performing statistical analysis on split experiments, and collaborating with AI partners to improve engineering decision-making.
IDMFull-timeSTPG
Key Responsibilities
- 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.
- Conduct split-DOE and conversion analytics, including datamining and statistical evaluation of split outcomes (e.g., ANOVA-style learning).
- Identify opportunities to accelerate process learning and improve PI efficiency through data-driven insights.
- Liaise with Micron AI and Data Science partners to identify and drive efficiency improvements within the scope of PI.
- Communicate results with strong explainability (e.g., feature importance, sensitivity trends) and align findings with engineering intuition.
- Demonstrate strong analytical capability along with clear verbal and written communication skills, effectively engaging a wide range of audiences.
- Work independently with a high level of self-motivation, time management, and prioritization skills.
- Deliver a complete intern project package, including code/notebooks, documentation, and presentation-ready summaries.
Requirements
- Currently pursuing a Master, or PhD in Electrical Engineering, Physics, Science, Mathematics, Computer Science, Material science, Data Science, Artificial Intelligence, or a related field, and available for a semester-long internship.
- Demonstrated proficiency in Python, SQL and data analysis.
- Experience with data analysis, statistics, machine learning, and statistical modeling to extract actionable insights from complex datasets is a strong plus.
