AI-Enabled Defect Analytics Intern

MICRON SEMICONDUCTOR ASIA OPERATIONS PTE LTD; Singapore; Vor Ort; SGD 17.000 - 23.000; Vollzeit

Zusammenfassung

Micron Asia Operations Pte Ltd in Singapore invites an engineering student to join the Real-Time Defect Analysis team on the AI-Enabled Defect Analytics and Yield Investigation project. You will analyze defect and yield data, investigate excursions, and help develop analytics or AI-enabled workflows under engineering guidance.

This 5-month internship runs Jan–May 2027 and offers hands-on experience with dashboards, data visualization, root-cause analysis, and collaboration with manufacturing

Qualifikationen

• Strong analytical and problem-solving skills.
• Basic knowledge of statistics, data analysis, or semiconductor manufacturing.
• Familiarity with Python, SQL, data visualization, or equivalent tools.
• Interest in Generative AI, Agentic AI, or AI-Enabled engineering workflows.
• Clear communication and collaboration skills.

Aufgaben

• Analyze defect, yield, and excursion data to identify trends.
• Investigate selected wafer, lot, tool, and process-related yield issues.
• Develop dashboards, scripts, or AI-Enabled workflows for defect analysis.
• Collaborate with engineering teams to collect and validate relevant data.
• Document methodologies and communicate project findings.

Kenntnisse

Analytical skills

Statistics knowledge

Python

SQL

Data visualization

Generative AI interest

Communication skills

Ausbildung

Electrical Eng

Electronics Eng

Materials Eng

Data Science

Computer Eng

Related technical field

Tools

Python

SQL

Data visualization

Jobbeschreibung

Micron Asia Operations Pte Ltd in Singapore invites an engineering student to join the Real-Time Defect Analysis team on the AI-Enabled Defect Analytics and Yield Investigation project. You will analyze defect and yield data, investigate excursions, and help develop analytics or AI-enabled workflows under engineering guidance.

This 5-month internship runs Jan–May 2027 and offers hands-on experience with dashboards, data visualization, root-cause analysis, and collaboration with manufacturing