ASML Machine Learning and Image Processing Senior Engineer in Veldhoven, Netherlands
At ASML we use advanced mathematics and physics to keep fuelling the semiconductor and electronic revolution. If your ambition is to apply your knowledge and skills to very complex challenges and you feel excited when those challenges lead to successful new products, please read further.
This position is open in the YieldStar Algorithms and Physical Modelling Overlay & Focus group, which is uniquely positioned between Research and product development and has the task to contribute to the creation of innovative concepts and products for ASML.
Business Line Information
The Business Line Applications provides integrated solutions with computational, metrology and control technology. These solutions extend and improve the performance of lithography products for the semiconductor industry. The position is open in a group that is part of the Development & Engineering (D&E;) Division, which is responsible for the development, specification and design of new ASML products.
Within D&E;, the group YieldStar Algorithms and Physical Modeling Overlay & Focus covers the development of physical, optical and mathematical models and methods required to infer Overlay and Focus from scatterometry data. Relevant new metrics and algorithms, as well as new measurement functions, with optimum performance characteristics using the raw acquisitions are identified, designed and implemented. The group is also responsible for contributing to the invention of new ASML products providing state-of-the-art expertise in Scatterometry, Machine Learning, Image and Signal Processing.
- Design and realize fully functional proof-of-concept subsystems on the edge of system specifications, costs and project planning, thereby contributing directly to products for customers world-wide
- Propose physical/optical and mathematical models, signal processing algorithms, calibrations which enable and improve semiconductor metrology solutions beyond the optical resolution limit
- Collaborate with the ASML Research department and on-product applications groups to actively contribute to the invention of new ASML products
- Lead the technical and competence roadmaps for Image & Signal Processing
- Stay abreast of the latest developments in your field of expertise
- Generate patents protecting ASML products
- Communicate clearly the mathematical principles, algorithm solutions and physical models to the stakeholders
- Review technical analyses from the team
- Keywords: image and signal processing, machine learning, physical/mathematical modeling, optimization, pattern recognition, information theory, parameter inference, inverse problems, mathematical algorithms, numerical methods, high performance computing, computational imaging
- PhD. in Electrical Engineering, Mathematics, or Physics
- Solid experience in image & signal processing, machine learning, mathematical and physical modeling, numerical methods, algorithm design and implementation
- Affinity with statistical parameter estimation techniques, geometric and diffractive optics preferred
- Strong preference for candidates with 5-10 years of experience. However, exceptional candidates with less experience will be considered too
- Ability to explain complex physical models and algorithms in a crisp way, without omitting the essentials
- Ability to drive the creation of roadmaps and coordinate a company-wide technical competence
- Drive creative solutions with the product and customer in mind
- Decisive and self-initiating in an ambiguous environment
- Ability to influence without power
- Team worker
- Pragmatic approach and pro-active attitude, with result focus and a ‘can do’ spirit
If you have any questions about this position or this department, please contact Edgar Dekker (Recruiter) via +31 (0)6-30 98 88 11. If you wish to apply, please upload your resume and cover letter via the link “Apply for this job” below this job description.
Location: Veldhoven, Netherlands
Experience: 2-5 Professional
Available since: 2017-05-29
Functional area: Research & Development
Background: Mathematics, Physics, Electronics