AI-Driven Antenna Design Thesis: Autonomy in Hardware

Ericsson

Stockholms kommun

On-site

SEK 210,000 - 320,000

Full time

34 hours ago
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Job summary

Ericsson invites a master's student to work on an AI-driven workflow that designs hardware autonomously, interprets requirements, builds parametric geometry and runs electromagnetic simulations. You will develop the AI harness, verification and logging to enable repeatable design iterations.

The project focuses on antenna-filter interfaces, matching 50-ohm references, and exploring trade-offs between loss, layer count and manufacturability. Stockholm-based and on site.

Qualifications

  • Master's student in engineering or science with EM background.
  • Strong interest in AI agents, LLMs and automation.
  • Experience with scripting and data workflows is a plus.

Responsibilities

  • Defining requirements, reference planes and metrics for hardware designs.
  • Modeling a bounded case like filter-to-antenna integration.
  • Building harness scripts to drive simulation tools and extract results.
  • Implementing self-verification, logging and run persistence.

Skills

Python
AI agents
Electromagnetics

Education

Master's student in EE/Physics/CS

Tools

Ansys HFSS
CST

Job description

Ericsson invites a master's student to work on an AI-driven workflow that designs hardware autonomously, interprets requirements, builds parametric geometry and runs electromagnetic simulations. You will develop the AI harness, verification and logging to enable repeatable design iterations.

The project focuses on antenna-filter interfaces, matching 50-ohm references, and exploring trade-offs between loss, layer count and manufacturability. Stockholm-based and on site.

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