Intern: Predictive Analytics for Test Equipment

1100 Micron SemiAsiaOP Pte Ltd; Singapore; On-site; SGD 20,000 - 33,000; Full time

Job summary

Micron Singapore invites interns to work on a Machine Availability and Parts per Jam Improvement project. You will analyze burn-in equipment alarm logs, apply predictive analytics, and develop data-driven solutions to boost machine availability.

Under guidance, you’ll build a structured alarm database, automate notifications, and explore Agentic AI for monitoring. This six-month internship runs Jan 2027 through Jun 2027 and may lead to full-time opportunities depending on business needs.

Qualifications

• Experience with Python, SQL, Power BI or Power Automate.
• Knowledge of statistics and predictive analytics.
• Familiarity with Generative AI, Copilot, Agentic AI, or AI-enabled workflows.
• Strong analytical, systems-thinking, problem-solving, and communication skills.

Responsibilities

• Analyze alarm logs and downtime patterns.
• Develop predictive models for machine availability and Parts per Jam.
• Create automated notifications and visualization workflows.
• Evaluate AI solutions for equipment monitoring and alarm analysis.

Skills

Python

SQL

Power BI

Power Automate

Statistics

Predictive analytics

Data visualization

Generative AI

Microsoft Copilot

Agentic AI

AI-Enabled workflows

Analytical thinking

Communication skills

Education

Electrical and Electronic Engineering

Computer Engineering

Data Science

Mechatronics Engineering

Tools

Python

SQL

Power BI

Power Automate

Job description

Micron Singapore invites interns to work on a Machine Availability and Parts per Jam Improvement project. You will analyze burn-in equipment alarm logs, apply predictive analytics, and develop data-driven solutions to boost machine availability.

Under guidance, you’ll build a structured alarm database, automate notifications, and explore Agentic AI for monitoring. This six-month internship runs Jan 2027 through Jun 2027 and may lead to full-time opportunities depending on business needs.