Photolithography Data Analytics Intern - Digital Twin

Micron Technology; Singapore; On-site; SGD 22,000 - 33,000; Full time

Job summary

Micron Technology is offering a full-time internship opportunity in Singapore focused on data analytics for semiconductor manufacturing. You will develop a data-driven digital twin framework for photolithography equipment and analyze performance datasets to identify productivity improvements.

The role emphasizes exposure to AI, machine learning, and visualization tools, with potential consideration for full-time employment based on performance and business needs.

Qualifications

• Pursuing a degree in Computer Science, Data Science, Data Analytics, or related field.
• Strong analytical and problem-solving skills.
• Experience with Python, SQL or R and data analytics tools.
• Familiarity with statistics, data visualization, and predictive analytics.
• Good communication and presentation skills.
• Knowledge of AI tools or AI-enabled workflows is a plus.

Responsibilities

• Develop data-driven digital twin models for semiconductor equipment.
• Analyze equipment utilization, throughput, cycle time, and performance datasets.
• Apply statistical, machine learning, and simulation techniques to evaluate manufacturing scenarios.
• Develop interactive dashboards and visualization tools to communicate insights.
• Collaborate with cross-functional engineers and SMEs to understand constraints and improvements.
• Apply AI-enabled methods to identify patterns and improve model accuracy.

Skills

Python

SQL

R

Data visualization

Statistics

Machine learning

Communication

Education

Pursuing degree in Computer Science/Data Science/Data Analytics or related field

Tools

Pandas

Scikit-learn

Job description

Micron Technology is offering a full-time internship opportunity in Singapore focused on data analytics for semiconductor manufacturing. You will develop a data-driven digital twin framework for photolithography equipment and analyze performance datasets to identify productivity improvements.

The role emphasizes exposure to AI, machine learning, and visualization tools, with potential consideration for full-time employment based on performance and business needs.