Intern - ADTS ATI PI: Cell Metric Drift Detection

About the role

Micron is offering an internship within its ADTS ATI PI department on the project "Faster Cell Metrics Drift Detection Using Advanced Data Analytics". The intern develops data analytics and detection models for the early identification of cell metric drift using large-scale manufacturing test and measurement data, under the guidance of experienced engineers. High-performing interns may be considered for future full-time opportunities.

Key responsibilities

• Analyze relationships among inline, probe, cell metric and quality data to find early indicators of cell metric drift.
• Develop a detection methodology for monitoring selected cell metrics and potential quality excursions.
• Build dashboards and visualizations to communicate analytical findings.
• Explore AI-enabled workflows for data exploration, pattern identification and analytical productivity where relevant.
• Deliver a documented monitoring methodology, a drift-detection solution, a dashboard or report, recommendations, and a final technical report and presentation.

Required profile

• Pursuing a degree in Materials Science, Electrical and Electronic Engineering, Data Analytics, Statistics, Computer Science or a related discipline.
• Able to commit to a full-time internship of at least five months.
• Strong analytical, problem-solving and data-interpretation skills.

Required skills

• Experience with data analytics, statistical analysis or visualization tools.
• Advantageous: Python, R, SQL, Power BI or similar tools.
• Advantageous: familiarity with AI assistants or AI-enabled data-analysis workflows.