InternshipTech & engineering· Posted 16 Sept

Intern - F10 Process and Equipment Engineer

MicronFrom company site

Salary

Not stated by the company

When

To be confirmed

Where

Singapore1 North Coast Drive, Singapore

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Start: Not stated
Work mode: On-site
Experience: Some experience

About the role

This internship sits with the Chemical Vapour Deposition Module team in Fab 10N/X, working on a project that studies data from a wafer bevel inspection tool to help cut defects. It suits a student in chemical engineering, materials science or a related discipline who enjoys digging into manufacturing data and building models. You will get hands-on exposure to semiconductor process and equipment engineering, defect analysis and AI-enabled manufacturing analytics.

What you'll do

Collect and prepare historical scanner, defect, yield, process and equipment data
Correlate scanner metrics against yield loss, defect occurrence and process or equipment traces

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Apply statistical, machine learning and AI-enabled methods to spot abnormal bevel behaviour

Assess model performance using measures such as prediction accuracy and sensitivity

Explore AI tools and AI-enabled workflows to improve analysis, visualisation and reporting

Build a data-driven monitoring solution that flags early indicators of wafer defects

Produce visualisations or dashboards showing defect trends and abnormal scanner behaviour

Document model performance, including accuracy, sensitivity and limitations

Prepare a final report and presentation with findings and recommended actions to reduce yield loss

Good to know

Full-time internship of at least 5 months, running January to May 2027
Based at 1 North Coast Drive, Singapore
High-performing interns may be considered for future internship or full-time openings, subject to business needs

Requirements

Pursuing a degree in Chemical Engineering, Materials Science, Materials Engineering or a related field
Able to commit to a full-time internship of at least 5 months from January to May 2027
Data analysis skills and familiarity with statistical or visualisation tools
Structured problem-solving ability and a strong learning mindset
Clear technical communication and presentation skills

Benefits

Exposure to semiconductor process and equipment engineering, defect analysis, machine learning and AI-enabled manufacturing analytics
Practical skills in statistical analysis, machine learning, dashboard creation and engineering problem-solving
Possible consideration for future internship or full-time roles based on performance

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Intern - F10 Process and Equipment Engineer

About the role

What you'll do

Good to know

Requirements

Benefits

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