Semiconductor Data Analytics Intern (Digital Twin & ML)

Micron Technology, Inc.; Singapore; On-site; SGD 13,000 - 20,000; Full time

Job summary

Micron Technology, Inc. in Singapore seeks an Intern for Photolithography Data Analytics. You will help develop a data-driven digital twin framework for lithography equipment, analyzing throughput, cycle time, and utilization to drive improvements.

The role offers exposure to AI-enabled analytics, Python/R/SQL, and visualization, with cross-functional collaboration and potential pathways to full-time opportunities after the internship period of at least six months.

Qualifications

• Strong analytical and problem-solving skills.
• Experience with Python, SQL, or R for data analytics.
• Knowledge of statistics, data visualization, and predictive analytics.
• Familiarity with ML concepts, simulation methods, or data-driven workflows.
• Strong communication and presentation skills.
• Familiarity with AI tools or AI-enabled workflows for data analysis or modeling.

Responsibilities

• Develop data-driven digital twin models for photolithography equipment.
• Analyze utilization, throughput, cycle time, and performance datasets.
• Apply statistical, ML, and simulation techniques to evaluate scenarios.
• Develop dashboards and visualization tools to communicate insights.
• Collaborate with cross-functional engineers and SMEs to understand constraints and opportunities.
• Identify patterns in equipment performance to improve model accuracy.

Skills

Analytical skills

Python

SQL

R

Data analytics

Statistics

Data visualization

Predictive analytics

Machine learning concepts

Simulation methods

Communication skills

Presentation skills

AI tools

Education

Pursuing degree in CS/Data Science/Analytics/Engineering

Job description

Micron Technology, Inc. in Singapore seeks an Intern for Photolithography Data Analytics. You will help develop a data-driven digital twin framework for lithography equipment, analyzing throughput, cycle time, and utilization to drive improvements.

The role offers exposure to AI-enabled analytics, Python/R/SQL, and visualization, with cross-functional collaboration and potential pathways to full-time opportunities after the internship period of at least six months.