About the role
AI summarisedApply photolithography fundamentals, data science, statistics, and machine learning to drive breakthroughs in advanced semiconductor process development. This role involves analytical projects focused on large-scale data correlation, recipe accuracy enhancement, and multi-level characterization studies to develop predictive models.
IDMOnsiteSTPG
Key Responsibilities
- Work on analytical projects involving large-scale data correlation and process sensitivity analysis.
- Apply statistical analysis, SPC concepts, and Six Sigma methodologies to evaluate process performance.
- Develop predictive models using machine learning or advanced analytics frameworks based on photolithography datasets.
- Gain exposure to lithography concepts including immersion optics, polarized illumination, and low-k₁ imaging.
- Generate meaningful insights from photolithography datasets to drive technology decisions and contribute to enhanced data-driven methodologies.
Requirements
- Strong foundation in statistics, probability, and data analysis (e.g., Cpk, distributions, hypothesis testing).
- Familiarity with machine learning or data science tools (Python, R, or similar).
- Understanding of optical principles such as immersion lithography, polarized illumination, and low-k₁ imaging.
- Familiarity with lithography chemicals and materials across 365/248/193 nm exposure technologies.
- Ability to interpret complex datasets and communicate technical insights clearly through reports and presentations.