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.
ASML is one of the world’s leading manufacturers of semiconductor-chip-making equipment. A
majority of the world’s microchips receive their critical lithographic patterning in machines made by ASML. In addition ASML produces metrology tools and advanced applications to analyze and optimize the performance of the customer production process. At Business Line Applications, we develop Analytics & Control solutions that improve the accuracy of performance metrics (such as overlay, focus,critical dimension) as measured on the end product of a fab process (wafers with chip structures).
ASML is looking for Data Scientist to join our Applied Data Science team. We are interested in
individuals with strong knowledge and experience in developing and evaluating Machine Learning & Data Mining algorithms as well as a broad interest in data handling, modeling and visualization. You will evaluate and apply new learning methodologies and develop solutions to improve on-customerproduct performance obtained with ASML machines and applications.
By combining scanner and metrology data with information on fab usage conditions through
techniques from the field of Data Science, you discover relations between stochastic variables anddesign robust and adaptive models that generalize well and can deal with uncertainty.
Particularly, the vacancy aims at developing new data analytics, visualizations and control
solutions by cutting edge techniques from Machine Learning and Data Mining. Successful
methodologies may be included in ASML customer applications.
- Ph.D. in Machine Learning/Data Science
- M.Sc. in for instance Data Science, Statistics, Physics, Electrical Engineering or Computer Science
- Experience- Experience in software development, strong coding skills, in a.o. Matlab, R, and Python
- Ability to communicate complex mathematical concepts in a clear and precise manner
Highly valued qualifications
- Experience working on practical applications using real-world datasets
- Handle, analyze and visualize complex, high-volume, high-dimensional data from varying sources
- Enthusiastic and intrinsically motivated, Creative thinker
- Good & proactive communication in an international and multidisciplinary environment
- Taking responsibility, self-propelling
- Goal-oriented and flexible mindset, willing to acquire lithography and other semiconductor
Context of the position
You will be a member of the Applied Data Science team in Development & Engineering of the Business Line Applications (On-Product Performance department, Modeling group) where you will interact with your peer data scientists. You will also be part of a multidisciplinary product development team, interacting with other departments (such as software development and customer support).
Travelling a few times per year to customers worldwide can be part of the job.
Electronics / Components
10 - 15 years
2 - 5 years
5 - 10 Years
|Job Location:||Veldhoven, Netherlands|
|Keywords:||Data Science, Machine Learning, Statistical Pattern Recognition, Visual Analytics, Data Mining, Data Engineering, Hadoop, Map-Reduce, Bayesian Modeling, Process Control, Semiconductors, Lithography|
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