About the role
AI summarisedThis internship focuses on developing data analytics methods to monitor and improve semiconductor manufacturing processes. The intern will work on integrating data from multiple process tools and measurement steps to enable early detection of product quality issues using SPC and FDC charts. The role involves collaboration with subject matter experts in an end-to-end solution development team.
IDMOnsiteFront End
Key Responsibilities
- Develop a new method to converge data from various measurement steps and process tools for earlier drift detection of product critical metrics
- Contribute ideas and learn from industrial subject experts in an end-to-end solution development team
- Monitor process outputs using SPC and FDC charts to maintain product health and quality
- Apply analytical techniques to bring real impact on state-of-the-art semiconductor manufacturing processes
Requirements
- Currently enrolled in a relevant academic program (implied by internship role)
- Interest or background in semiconductor manufacturing processes
- Exposure to or interest in statistical process control (SPC) and fault detection and classification (FDC)
- Ability to work with multi-dimensional data and process analytics
- Willingness to learn data modeling, simulation, and optimization techniques
- Collaboration skills for working in a team with subject matter experts
- Problem-solving aptitude for complex industrial challenges
- Communication skills to contribute ideas in a team setting