Data Analytics Intern: Photolithography Digital Twin

1100 Micron SemiAsiaOP Pte Ltd; Singapore; On-site; SGD 20,000 - 36,000; Full time

Job summary

Micron Technology, Inc. seeks a motivated student for a full-time internship in Singapore to develop a data-driven digital twin framework for photolithography equipment. You will work with cross-functional teams to model tool behavior, analyze utilization, and explore optimization opportunities using Python, SQL, and ML techniques.

Exposure to AI-driven analytics and visualization is provided. The project emphasizes practical learning in advanced manufacturing analytics, with potential for

Qualifications

• Candidates currently pursuing a degree in CS/Data Science/Analytics or related fields.
• Strong analytical and problem-solving abilities.
• Good communication and presentation skills.
• Ability to work in cross-functional teams.

Responsibilities

• Develop data-driven digital twin models for photolithography equipment.
• Analyze equipment utilization, throughput, cycle time, and operational performance datasets.
• Apply statistical, ML, and simulation techniques to evaluate scenarios.
• Create interactive dashboards to communicate insights and recommendations.
• Collaborate with cross-functional engineers to understand constraints and opportunities.
• Apply AI-enabled methods to improve model accuracy.

Skills

Analytical thinking

Communication

Presentation skills

Team collaboration

Problem solving

Education

Pursuing degree in Computer Science or related field

Tools

Python

SQL

R

Job description

Micron Technology, Inc. seeks a motivated student for a full-time internship in Singapore to develop a data-driven digital twin framework for photolithography equipment. You will work with cross-functional teams to model tool behavior, analyze utilization, and explore optimization opportunities using Python, SQL, and ML techniques.

Exposure to AI-driven analytics and visualization is provided. The project emphasizes practical learning in advanced manufacturing analytics, with potential for