Intern: Data Science for Photo-Process Automation

Micron

Singapore

On-site

SGD 17,000 - 22,000

Full time

14 days+

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Job summary

Micron Singapore invites a full-time university intern to join the Fab10 High-Volume Manufacturing Photo Process and Equipment Engineering team. The project focuses on automating Non-Zero-Offset control for high-volume photo processes, using Python, statistics, ML, and data visualization.

You will study end-to-end workflows, build data pipelines, and develop an automated analytical framework. The five-month internship runs January 2027 to May 2027, offering hands-on exposure to semiconductor

Qualifications

Proficiency in Python for data preparation, analysis, modeling, and visualization.
Basic knowledge of statistics, machine learning, or applied data analytics.
Strong analytical thinking, structured problem solving, and ability to work with large datasets.
Effective technical communication and familiarity with AI-enabled analytical workflows.

Responsibilities

Develop an automated, data-driven Non-Zero-Offset framework using Python, statistics, ML and visualization.
Analyze historical Non-Zero-Offset, inline, recipe, and metrology data to identify patterns, risks, and opportunities.
Create a Python-based analytical framework to improve consistency and efficiency of Non-Zero-Offset analysis.
Evaluate ML/AI-assisted methods for predicting Non-Zero-Offset behavior and risk conditions.
Design and prototype an automated logic flow or dashboard to improve review and decision-making.