About the role
AI summarisedThis internship at Micron's Singapore NTI organization focuses on the application of data analytics and AI-based modeling to wet etch and wet clean processes for advanced memory technology. The role involves developing models to identify process margins, executing designs of experiments, and correlating characterization data with model predictions to drive process optimization.
IDMOnsiteSTPG
Key Responsibilities
- Development and optimization of data-driven and AI-based models for wet etch and wet clean processes
- Identification of process margins and potential failure modes during technology learning phases
- Planning and execution of design of experiments (DOE) to generate structured datasets
- Analysis of experimental data using critical dimension (CD) measurements, scanning electron microscopy (SEM), and other wet process characterization techniques
- Evaluation of model accuracy through correlation of predictions with experimental outcome
- Exploration of process enhancement opportunities to meet defined structural and electrical criteria
- Deliver experimental plans and summarized results from completed DOEs
- Prepare data analysis reports correlating process behavior with model predictions
- Provide recommendations for process improvement or optimization opportunities
- Present final project findings and technical documentation to cross-functional teams
Requirements
- Currently pursuing a full-time undergraduate degree in Chemical Engineering, Materials Science and Engineering, Electrical Engineering, or Mechanical Engineering
- Strong analytical and logical problem-solving ability
- Basic knowledge or interest in data analytics, modeling, or machine learning techniques
- Familiarity with experimental data analysis and interpretation
- Clear written and verbal communication skills
- Ability to manage multiple technical tasks within a structured project environment
- Available for a minimum 5 months internship duration (August 2026 to December 2026)