model design engineer (machine learning)

North Brabant  ‐ Onsite
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Description

Introduction

Do you have the ambition to work for one of the most prestigious suppliers of the semiconductor industry ? Do you enjoy solving algorithm design problems under demanding time, accuracy, and memory requirements ? Do you like to use your creativity, your in-depth knowledge of the machine learning principles, and your hands-on experience with practical problem solving, being part of a highly talented group of physicists, applied mathematicians, information theorists, and (electromagnetic) simulation experts ?

Sector Information

Within our client 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 for Parameter Estimation Competency.

Job Description

  • Propose solutions for statistically correct parameter inference, physical models and calibrations, which enable and improve semiconductor metrology solutions beyond the optical resolution limit.
  • Communicate crystal clearly on the mathematical principles, algorithm solutions and physical models 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 products.
  • Working as a team with similar-minded people, benefiting from each other's specific competences.
  • Keywords: parameter inference, deep-learning, multi-dimensional output GP's, inverse problems, regularization, physical calibration, optimization, applied statistics, machine learning, pattern recognition and information theory.

Education

Ph.D. in Electrical Engineering, Physics, Applied Mathematics, or Computer Science

Experience

Established experience in mathematical and physical modelling, (big) data analysis and algorithm design

Michael Bailey International is acting as an Employment Business in relation to this vacancy.

Start date
ASAP
Duration
Perm
From
Michael Bailey Associates - Eindhoven
Published at
31.01.2017
Project ID:
1279279
Contract type
Freelance
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