13 days ago - req20608

Internship - Data Science

Research & development

Electrical engineering

Physics

Data science

In a nutshell

Location

San Jose - CA, US

Team

Research & development

Experience

No experience (Student)

Degree

Master

Job Category

Electrical engineering, Physics, Data science

Introduction

ASML US brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers - the world’s leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, the Netherlands, and we have 18 office locations around the United States including main offices in Chandler Arizona, San Jose and San Diego California, Wilton Connecticut, and Hillsboro Oregon.

Job Mission

ASML is looking to hire an intern. In this role you will be responsible for applied R&D in the areas of Physical Modeling, Calibration and Machine Learning

Job Description

Develop parameterized FEM model for shrinkage of multiple feature sizes in resist. Using simulation tooling calculate sensor response of these features. Evaluate if parameters of FEM model can be calibrated with information from measurements. In addition, apply machine/deep learning techniques in order to match simulation results with experiment. This could, for example, entail training a Generative Adversarial Networks whose generator is seeded by the physical model instead of by pure noise, in order to derive simulated distribution of data that matches the distribution of actual measurements.

The intern is expected to provide conclusion in the form of a report on the feasibility of using FEM method and machine learning technique(s) for calibration purposes.

Education

Masters degree in Electrical Engineering / Physics.

Experience

  • Experience in physical modeling and simulation
  • Experience in FEM modeling is a plus
  • Experience in training machine/deep learning models

Personal skills

  • Excellent team, communication and organizational skills
  • Willingness to work independently and to identify, analyze and solve both simulation and experimental challenges in a dynamic applied R&D organization

Context of the position

This position primarily works in an office environment. It requires frequent sitting, standing and walking. Daily use of a computer is required. May stand for extended periods when facilitating meetings. The physical demands of the position described herein are essential functions of the job and employees must be able to successfully perform these tasks for extended periods. Reasonable accommodations may be made for those individuals with real or perceived disabilities to perform the essential functions of the job described.

Other information

EOE AA M/F/Veteran/Disability