ASML is one of the world’s leading manufacturers of chip-making equipment.
Our vision is to enable affordable microelectronics that improve the quality of life.
To achieve this, our mission is to invent, develop, manufacture and service advanced technology for high-tech lithography, metrology and software solutions for the semiconductor industry.
ASML's guiding principle is continuing Moore's Law towards ever smaller, cheaper, more powerful and energy-efficient semiconductors. This results in increasingly powerful and capable electronics that enable the world to progress within a multitude of fields, including healthcare, technology, communications, energy, mobility, and entertainment.
As an engineer you will design and help implement solutions that improve the overlay accuracy between layers and/or the critical dimension of printed features on actual product wafers of our customers (on-product performance). Your scope exceeds the overlay and imaging/focus performance of ASML’s lithographic equipment, and includes effects on the on-product performance caused by other processing equipment, masks, metrology, and the choices that are made by the customer on how to do process setup and control.
You are responsible for creating and improving ASML’s application products that will improve the onproduct performance of our customers. You will do this in close collaboration with the customer, and often connected to the introduction of a new technology node in production of the customer. Your proposals for application product improvement can cover a wide variety of solutions concerning process fingerprint root cause analysis, scanner setup and usage, choices in process control strategies, metrology mark choice and design, mask and wafer routing, and process optimization. By combining scanner and metrology measurements with information on fab usage conditions through techniques from the field of Machine Learning, you discover relations between stochastic variables and design adaptive models that generalize well and can deal with uncertainty.
You are expected to represent ASML as an expert in the field and to get recognition of this by the customers. Since you will be working intimately with customers and sensitive customer data, a high level of integrity is required for securing confidentiality, while at the same time being able to translate these solutions into ASML product improvements.
Job Description
The job consists of following activities:
Deliver validated product improvement proposals that can be implemented by software engineers.
Maximize the application of ASML products to the benefit of the customerParticipate actively in identifying future product featuresYou’ll be responsible for designing, prototyping, and validating data models and machine learning algorithms in Matlab
When required, you’ll also be responsible for customer data analysis with the above mentioned models and algorithms.
Education
Master/PhD degree in Electrical Engineering, Physics, Mathematics or Computer Science with a solidbackground in the majority of the following fields: machine learning, statistics, data analysis, controltheory, and/or design of experiments.
Experience
We are looking for people with 3-10 years of experience in an (industrial) research, development, or process control organization. Experience within the semiconductor industry is highly desirable, but nota must.
Personal skills
Please apply with your CV and cover letter by the 'apply' button below
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Please use the following format for your resume during the application process: http://bit.ly/2drZUzM
Education Backgrounds: |
Electrical Engineering Physics Software Engineering |
Specialties: |
Control systems Design Engineering Mechanics Modeling Research (R&D) |
Education Level: |
Postgraduate (Masters) Doctorate (PH.D) |
Experience: |
10 - 15 years 2 - 5 years 5 - 10 Years |
Languages spoken: |
English |
Job Location: | Veldhoven, Netherlands |
Keywords: | Modeling Design Engineer, Modeling, Design Engineer, R&D, Matlab, |
Type: Job
Deadline: 17th January 2017
Job reference (ID): 11074
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