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Introduction
Do you enjoy solving algorithm design problems for semiconductor metrology industry, with demanding time, accuracy, and memory requirements ? Do you like to use your creativity, your in-depth knowledge of physical and machine learning principles, and your hands-on software experience with practical problem solving, being part of a highly talented group of algorithm experts ?
Within ASML the sector Development & Engineering is responsible for the development, specification and design of new ASML products. The Business Line Applications provides integrated solutions with computational, metrology and control technology. These solutions extend and improve the performance of lithography and patterning products for the semiconductor industry.
Job Mission
The Algorithms and Physical Modeling group covers the development of models and methods required to infer physical model parameters from optical scatterometry data, productized with the YieldStar product. Relevant new metrics, as well as new measurement functions, with optimum performance characteristics using the raw acquisitions are identified, designed and implemented. The group secures the ASML Competence of Applied Mathematics for Parameter Estimation.
Job Description
Education
Ph.D. in Physics, Applied Mathematics, Electrical Engineering, or Computer Science
Experience
Personal skills
Context of the position
This position is available within the Algorithms and Physical Modeling group. the group covers the development of models and methods required to infer physical model parameters from optical scatterometry data, productized with the YieldStar product.
BE PART OF PROGRESS
We make machines that make chips; the hearts of the devices that keep us informed, entertained and safe. Our key technology is the lithography system, which brings together high-tech hardware and advanced software to control the chip manufacturing process. All of the world’s top chipmakers like Samsung, Intel and TSMC use our technology, enabling the waves of innovation that help tackle the world’s toughest challenges.
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