Intern - F10 Quality - PCS Advanced Data Analytics

at  Micron

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.
JR60611 Intern - F10 Quality - PCS Advanced Data Analytics

SUMMARY:

Applying data analytics and machine learning techniques on the big data from quality area for faster quality metrics drift detection. Develop an end-to-end solution from data query, pre-processing, analytics and results visualization.
Department: Quality Engineering Advanced Process Control
Project Title: faster quality metrics drift detection using advanced data analytics and machine learning

DESCRIPTION:

• Data analytics and machine learning has been introduced in the Micron manufacturing operations to improve efficiency. There are intensive quality metrics monitoring before product being shipped out. New big data and machine learning based data analytics methods are demanded of faster drift detection.
• In this project, a novel method will be developed to leverage analytics and machine learning on the big data generated from various electrical, physical tests and measurements for earlier drift detection of quality healthy metrics.
• the student will have the opportunity to learn and apply industrial data analytics, modeling, simulation and optimization skills to solve the practical issues and bring real impact on the state-of-arts semiconductor manufacturing process.
• The intern will also have opportunity to participate to an end-to-end solution development team to contribute ideas and learn from industrial subject experts.
  Scope: Explore various machine learning techniques for the feature selection, modeling and simulation on the big test and measurement data. Explore inline and probe data correlation. Explore multiple variables optimization. Explore surface curve turning point detection.
  Deliverable: Accurate modeling of the quality metrics, early drift detection
  Impact of Project: improved product quality control
  Skillset Require: general problem solving, data analytics, programming language R, python
  Course of interests: data analytics related courses, i.e., engineering, statistics, mathematics, computer science
  Duration Period: min 5 months (Semester Internship from January 2025 to May 2025)
  Location: Micron F10N, 1 North Coast Drive.

Please refer the Job description for details