IoT Data Analytics Intern – Photolithography

Micron

Singapore

On-site

SGD 20,000 - 27,000

Full time

5 days ago
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Job summary

Micron Technology, Inc. in Singapore invites a four- to five-month internship in the F10 Manufacturing, Photolithography department to build an Internet of Things based monitoring and anomaly detection solution.

You will apply Python, analyze sensor data, and gain exposure to semiconductor equipment and IoT architectures. Under engineering guidance, you will develop an end-to-end prototype covering data ingestion, processing, visualization, and AI-enabled anomaly detection, with deliverables

Qualifications

  • Pursuing a degree in IoT, Manufacturing Eng, Semiconductor Eng, Electrical Eng, Computer Eng, or Data Analytics.
  • Strong knowledge of Python and data analytics libraries.
  • Familiarity with sensors, electronics, and industrial data acquisition; Arduino is a plus.
  • Excellent analytical, communication, and documentation skills.

Responsibilities

  • Develop an IoT-based monitoring prototype for photolithography equipment and processes.
  • Analyze sensor data and equipment signals to detect anomalies.
  • Collaborate with engineers to design, implement, and test the monitoring solution.
  • Document methodologies, results, limitations, and recommendations.

Skills

Python
ML/Analytics
Electronics basics
Sensors basics
Problem solving
Communication

Education

Degree candidate in IoT/Manufacturing Eng/Semiconductor Eng/Electrical Eng/Computer Eng/Data Analytics

Tools

Arduino

Job description

Micron Technology, Inc. in Singapore invites a four- to five-month internship in the F10 Manufacturing, Photolithography department to build an Internet of Things based monitoring and anomaly detection solution.

You will apply Python, analyze sensor data, and gain exposure to semiconductor equipment and IoT architectures. Under engineering guidance, you will develop an end-to-end prototype covering data ingestion, processing, visualization, and AI-enabled anomaly detection, with deliverables

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