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Project Title
Metrology Data Analytics for Workstation Conversion Evaluation
Project Description
Advanced metrology techniques are critical enablers in Micronâs cuttingâedge semiconductor manufacturing processes. This internship project focuses on the application of data analytics and AIâenabled techniques to study and evaluate metrology workstation conversion scenarios.
The intern will work on a structured, projectâbased assignment involving analysis of metrology data sets and manufacturing context to assess process performance, measurement capability, and potential tradeâoffs associated with workstation conversion. Through this project, the intern will gain exposure to metrology fundamentals, manufacturing analytics workflows, and engineering decisionâmaking frameworks used in a highâvolume manufacturing environment.
Objective of the Project
- To develop foundational understanding of semiconductor metrology and its role in manufacturing integration
- To apply data analytics techniques to evaluate process performance and measurement capability
- To build analytical thinking and engineering judgment through a realâworld, projectâbased learning experience
Project Scope
- 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 dataâdriven comparison frameworks
- Collaborate with crossâfunctional engineering stakeholders to understand system interactions and constraints
Learning Opportunities
- Exposure to metrology tools, data structures, and manufacturing integration concepts
- Handsâon experience with data analytics, visualization, and evaluation methodologies
- Understanding of how engineering decisions are supported through quantitative analysis
- Development of problemâsolving, communication, and technical presentation skills
Deliverables
- A structured analytical framework to evaluate metrology workstation conversion scenarios
- Data analysis results, visualizations, and documented insights derived from metrology data
- A final presentation and report summarizing methodology, findings, and engineering recommendations
Impact of Project
The project provides a dataâdriven evaluation approach that supports engineering understanding of metrology workstation conversion considerations, while enabling knowledge transfer and analytical capability development within the team.
Skillset Required
- Analytical and structured problemâsolving 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
Engineering (e.g., Electrical, Mechanical, Mechatronics, Manufacturing, or related disciplines)
Duration Period
Minimum 5 months (Fullâsemester internship)
About Micron Technology, Inc.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich lifefor all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our MicronÂŽ and CrucialÂŽ brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities â from the data center to the intelligent edge and across the client and mobile user experience.
To learn more, please visit micron.com/careers
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
To request assistance with the application process and/or for reasonable accommodations,please contact hrsupport_sg@micron.com
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