KLA Research Scientist - Noise Reduction Algorithms 

United States, California, Milpitas 

485623483

Qualifications

Responsibilities

This is a R&D position in the advanced technology group for the SurfScan division, focusing on developing new methods of noise reduction for the future generations of un-patterned wafer inspection tools.

• Research new concepts and algorithms to suppress noise in wafer inspection systems.
• Develop statistical models to quantify performance improvements.
• Validate concepts through modeling, implementation, and data testing.

Qualifications

• Doctorate (Academic) in Machine Learning with experience in Image Processing
• Experience with Computational Imaging
• Solid understanding of Physics of light material interactions and Optical image formation theory.
• Strong background in mathematics, statistics, image processing, and machine learning.
• Proficient in programming and data analysis.
• Innovative, technically broad and solidly grounded

Minimum Qualifications

• Doctorate (Academic) in Machine Learning with experience in Image Processing AND
• Bachelor's Level Degree or Master's Level Degree in Physics OR Optics

or at +1-408-352-2808