Physics-informed Ml For Device Modeling Intern

GlobalFoundries

Sofia, Bulgaria
Monthly scholarship; duration: 1 - 1.5 years; bene...
Device physics
Circuit-level analysis
Machine learning
The Co-Op will work on establishing the relationship between device-level behaviour and circuit-level performance, and developing automation and software tools to support model QA and model workflow execution

Job Summary

  • The Co-Op will work on establishing the relationship between device-level behaviour and circuit-level performance, and developing automation and software tools to support model QA and model workflow execution.
  • This role is ideal for students interested in physics-informed ML, data-driven modeling, and practical software tools for semiconductor modeling workflows.
  • Our Interns & Co-ops are our entry-level talent pipeline for GF across the globe, providing meaningful work experience, one-on-one mentorship, and professional development opportunities.

Matching Summary

The Co-Op will work on establishing the relationship between device-level behaviour and circuit-level performance, and developing automation and software tools to support model QA and model workflow execution.

Salary

Monthly Scholarship; Duration: 1 - 1.5 years; Benefits: Top Office Location

Skills & Requirements

Must-have

  • device physics
  • circuit-level analysis
  • machine learning
  • software tool development
  • model QA workflows

Nice-to-have

  • reinforcement learning experience
  • EDA tool vendor experience
  • strong communication skills
  • problem-solving skills

Key Requirements

  • Master's or PhD student in Device Physics & Electrical Engineering or related field
  • Minimum 3.0 GPA
  • English fluency

Work Rights

Not specified

Tailored Resume

Cover Letter