Xelvin specializes in technical jobs in the business sector and in technical environments for people with Bachelor, Master or Ph.D qualifications. As we are a recruitment agency, this means that you will be employed by Xelvin and deployed to different clients for varying lengths of time. This will allow you to build up experience quite rapidly with different companies and in a wide range of jobs.
Introduction
Do you like to use your ability in signal processing and parameter estimation in the ambiguous experimental situation, and is your hobby programming and algorithm development ? This job may be an excellent opportunity for you !
Sector Information
Within the sector Development & Engineering is responsible for the development, specification and design of new products. 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.
Job Mission
Within D&E Applications, the group YieldStar Algorithms and Physical Modeling covers the development of physical, optical and mathematical models and methods required to infer physical model parameters from optical 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 secures both the Scatterometry Modeling Competency and the Applied Mathematics Competency.
Job Description
• Propose and develop new or improved signal processing methods and algorithms for parameter inference, to enhance the semiconductor metrology performance beyond the optical diffraction limit.
• Communicate crystal clearly on the signal processing solutions and parameter estimation algorithms to stakeholders, without omitting the essentials.
• 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 B2B customers world-wide.
• Review technical analyses from the team, and structure team contributions keeping the overview.
• Consolidate technical-team identity in communication with other departments.
• Interfacing with the Research and on-product applications groups, while developing the best metrology solutions and a well-founded vision on semiconductor metrology.
• Contribute to technical product roadmaps and generate intellectual property protecting ASML products.
• Working as a team with similar-minded people, benefitting from each other’s specific competences.
• Keywords: parameter inference, signal processing, image processing, optimization, statistics, diffractive and geometric optics, reflectometry, and physical calibration.
Education
• PhD. in Electrical Engineering, Applied Mathematics, or Physics
Experience
• Established experience in algorithm design and signal processing
Personal skills
• Experience in signal and image processing, and strong affinity with statistical parameter estimation techniques
• Experience in machine-learning techniques to develop (numerically) stable solutions
• Sound understanding of the fundamentals such as linear algebra, probability theory
• Drive creative solutions -within the bigger picture- with the product and customer in mind
• Ability to explain complex image-processing algorithms in a crisp way, without omitting the essentials
• 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
Please apply with your CV and cover letter by the 'apply' button below
Remember - you found this opportunity on Qreer.com
Education Backgrounds: |
Electrical Engineering Mathematics Physics |
Specialties: |
Algorithms Image processing Signal Processing |
Education Level: |
Doctorate (PH.D) |
Experience: |
0 - 2 years 2 - 5 years 5 - 10 Years |
Languages spoken: |
English |
Job Location: | Eindhoven, Netherlands |
Type: Job
Deadline: 20th December 2016
Job reference (ID): 11018
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