InternshipTech & engineering· Posted 21 Sept

Intern - ADTS ATI PI

MicronFrom company site

Salary

Not stated by the company

When

To be confirmed

Where

SingaporeFab 10N/X, Singapore

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

About the role

This internship sits with the ADTS ATI PI team at a semiconductor manufacturing site, working on a structured engineering project around cell metric drift detection. You'll use large-scale manufacturing test and measurement data to build analytics and detection models, guided by experienced engineers. It suits students in engineering, data analytics, statistics or computer science who enjoy statistical work and visualising findings.

What you'll do

Study assigned cell metrics, manufacturing data sources and quality-monitoring needs
Analyse relationships across inline, probe, cell metric and quality data
Apply statistical analysis and detection-modelling techniques to spot trends, patterns and possible drift
Build dashboards and visualisations to share analytical insights and results

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Explore AI-enabled workflows for data exploration, anomaly identification or analytical productivity

Produce a documented cell metric monitoring methodology for the assigned use case

Develop an early drift-detection methodology and visualisation solution

Prepare a dashboard or analytical report covering trends, correlations and findings

Recommend ways to improve cell metric and quality-monitoring effectiveness

Deliver a final technical report and presentation on methodology, results, limitations and recommendations

Good to know

Full-time internship of at least five months
Based at Fab 10N/X, Singapore
High-performing interns may be considered for future internship or full-time roles, subject to business needs and position availability

Requirements

Strong analytical, problem-solving and data-interpretation skills
Experience with data analytics, statistical analysis or visualisation tools
Pursuing a degree in Materials Science, Electrical and Electronic Engineering, Data Analytics, Statistics, Computer Science or a related engineering or scientific discipline
Able to commit to a full-time internship of at least five months

Benefits

Hands-on experience with semiconductor manufacturing data analytics
Practical knowledge of statistical analysis, detection modelling and drift-monitoring techniques
Exposure to how dashboards and visualisations communicate engineering insights
Collaboration with cross-functional engineering teams and subject matter experts

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Intern - ADTS ATI PI

About the role

What you'll do

Good to know

Requirements

Benefits

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