Bosch Group

Schwieberdingen

Internship in Systematic Test Coupon Design for Automotive PCB Insertion Loss Characterization

FULL TIME ON-SITE JUNIOR
Posted 4 months ago

Summary

Role Overview

This internship focuses on designing and simulating test coupons for automotive PCB insertion loss characterization up to 16 GHz. The role involves statistical analysis of manufacturing tolerances and developing algorithms for material parameter extraction.

Key Responsibilities

  • Design and simulate standardized test coupons using 3D electromagnetic modeling tools (HFSS/CST).
  • Optimize Delta-L measurement structures for automotive PCB insertion loss characterization.
  • Conduct statistical design of experiments to quantify the impact of manufacturing tolerances on measurement accuracy.
  • Develop material parameter extraction algorithms using inverse modeling techniques.
  • Extract dielectric constant, loss tangent, and copper roughness parameters from measured S-parameter data.
  • Create industry-standard documentation including test coupon design guidelines and data processing algorithms.

Requirements Snapshot

  • Bachelor's degree in Electrical Engineering, Electronics Engineering, or comparable technical discipline with an emphasis on electromagnetics, RF/microwave, or signal integrity.
  • Proficiency in data processing using Python.
  • Experience with 3D electromagnetic simulation tools (HFSS or CST Microwave Studio).
  • Solid understanding of transmission line theory and S-parameter analysis.
  • Strong analytical thinking and a systematic approach to problem-solving.

Expected Impact

The successful completion of this internship will lead to optimized insertion loss measurement structures and improved accuracy in characterizing automotive PCBs. The developed algorithms and documentation will contribute to more robust material parameter extraction and standardized design practices.

Why Apply

  • Gain hands-on experience with cutting-edge electromagnetic simulation tools and techniques.
  • Contribute to critical aspects of automotive PCB insertion loss characterization.
  • Opportunity to develop valuable skills in statistical analysis, inverse modeling, and industry-standard documentation.

This summary was generated from the original job posting (AI-assisted, human-reviewed). For full details, visit the company's site.