# Internship: Machine Learning & Computer Vision for IC Field Failure Analysis
## Your Team
The Analog Competency Center delivers advanced custom analog, ESD and IO solutions for microprocessors and microcontrollers with mixed A/D signal processing circuits.
## Your Responsibilities
- Gathering requirements for IC field failure root-cause characterization
- Literature survey to understand existing state of the art and potential areas for innovation
- Developing preliminary data mining and analysis techniques, including natural language processing and image classification and segmentation applied to IC field failure reports
- Training machine learning models on a subset of IC field failures to create a model to categorize a much larger universe of failures
## What's in it for you
- Opportunity to develop technical and soft skills and communication abilities
- Experience in a multinational and diverse environment
- Possibility to become part of NXP's Young Professional Talent Pool
- Working on real assignments contributing to NXP's objectives
## Your Profile
- Master of Science - final year of engineering school
- Strong understanding of Machine Learning, Computer Vision, Neural Networks, Generative AI and Natural Language Processing
- Familiarity with CMOS circuits (plus)
- Affinity with Python programming
- Good English proficiency (meetings, presentations, documentation with international team)
- Must remain registered as a student during the entire internship period