Micron Technology

Intern - NTI Process Integration - AI Track

Micron Technology
Integrated Device ManufacturingSingapore, SingaporeFull-time3 weeks ago

About the role

AI summarised

This internship at Micron Technology focuses on applying data analytics, machine learning, and statistical modeling to support Process Integration for advanced NAND technology development. The intern will work on data-driven models, statistical analysis of experiments, and collaborate with AI and Data Science partners to improve process efficiency.

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.