Micron Technology

Intern - NTI Process Integration - AI Track

Micron Technology
Integrated Device ManufacturingSingapore, SingaporeFull-time3 weeks ago

About the role

AI summarised

Process 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.