Intern - Product Integration Engineerin - Real-Time Defect Analysis

7 months ago


Singapur, Singapore Micron Full time

Our vision is to transform how the world uses information to enrich life for all.

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

JR49547 Intern - Product Integration Engineerin - Real-Time Defect AnalysisLocation: F10N, North Coast, SingaporeDepartment: Product Integration Engineering - Real-Time Defect AnalysisProject Title: Optimal Sampling Model developmentDescription: 
Real-Time Defect Analysis department plays a critical role in Yield Improvement Program by driving baseline defect reduction program and ensuring robust defect excursion control through sampling methodology. In the leading tech node in Fab10, there are hundreds of critical defects across many inspection steps (using various tools that have different cost and effectiveness) being sampled at low level to maintain low cost and fast cycle time. The sampled data will then be utilized to conduct in-depth defect data analytic, which includes estimation of defect reduction significance from defect improvement projects and excursion significance from deviation processes.Scope: 
In this project, students will gain 1st hand experience to understand semiconductor processes and how defects improvements are been carried out, the various inline data collection methodologies and different electrical probe testing for defects. Students will then combine all these information to develop a Best Sampling Model that will accurately predict the defect reduction/excursion significance and the relevant optimum sampling level. Students are expected to understand the pros and cons of the various methods we have, explore statistical, deploy different Big Data Analytics techniques and conduct actual simulation to build the model. Some additional considerations will be the cost of the data collection.Deliverable: 
To develop Best Sampling Model that will maximize the return of investment and to accurate analyze the different types of RDA critical metrics (different cost of data collection, varying effectiveness, wide range of mean/range/standard deviation) to output: 1) defect reduction/excursion effectiveness and confidence level; 2) Optimum sampling level required.Skillset Required: Statistical Process Control, Data analyticsCourse of interests: EngineeringDuration Period: min 3 months

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