About the role
AI summarisedThis internship focuses on applying metrology data analytics and AI-enabled techniques to evaluate workstation conversion scenarios within a high-volume semiconductor manufacturing environment. The intern will develop analytical frameworks to assess process performance, measurement capability, and engineering trade-offs while collaborating with cross-functional stakeholders.
IDMOnsiteFront End
Key Responsibilities
- Study metrology measurement principles and their application in semiconductor manufacturing
- Analyze historical and structured metrology data to identify trends, variability, and capability indicators
- Evaluate different workstation conversion scenarios using data-driven comparison frameworks
- Collaborate with cross-functional engineering stakeholders to understand system interactions and constraints
- Develop a structured analytical framework to evaluate metrology workstation conversion scenarios
- Generate data analysis results, visualizations, and documented insights derived from metrology data
- Deliver a final presentation and report summarizing methodology, findings, and engineering recommendations
Requirements
- Analytical and structured problem-solving skills
- Basic understanding of engineering fundamentals
- Interest in data analytics, statistics, or quantitative analysis
- Familiarity with data tools or programming is an advantage but not mandatory
- Course of Interest in Engineering (e.g., Electrical, Mechanical, Mechatronics, Manufacturing, or related disciplines)
- Available for a minimum 5 months (Full-semester internship)