INTERN - Machine learning based Scatterometry Optimization

Key Skills

Machine learning techniques, Object-Oriented programming (OO languages), Pandas, Python Programming, SciPy

Job Description

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.

INTERN - Machine learning based Scatterometry Optimization

Location :

1, North Coast Drive, Singapore 757432

Department :

Product Integration Engineering (PIE), Metrology

Title of project:

Improvement plan on existing ML-based scatterometry framework and develop solutions in Python.​

Project Description :

Scatterometry is a technique that uses light to measure critical dimension of a post-etch structure during wafer fabrication. Machine Learning (ML)-based scatterometry uses supervised learning model to evaluate the measurement value from the light information. Users run scripts to train these ML models, and the models are then deployed in production environment for real-time measurement evaluation. There is a constant need to improve the learning algorithm, improve user experience on model training and reduce lag in real-time evaluation.

Scope:

The student will be introduced to scatterometry measurement technique. He/She will be able to learn the application of supervised learning technique and building a deployment pipeline in a manufacturing environment. The student will study the existing ML-based scatterometry framework and apply object-oriented programming as well as other Python scientific libraries, including Pandas and SciPy to the framework.

Deliverable:

To propose improvement plan on existing ML-based scatterometry framework and develop solutions in Python.

Skillset Required :

• Students pursuing Bachelor's degree in engineering,

Course of interests :

• Engineering

Duration Period :

• 6 months

To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_sg@micron.com

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