PhD: AI-Driven EMC for Power Electronics

Silicon Austria Labs GmbH; Graz; On-site; EUR 37,000 - 44,000; Full time

Job summary

Silicon Austria Labs GmbH in Graz, Austria, invites applications for a PhD candidate to develop AI-assisted modelling of radiated emissions from power electronics converters. The project is co-supervised with SDU, with SAL hosting most of the work, and aims to advance EMC-aware converter design.

Responsibilities include building physics-informed ML models, leveraging simulations and measurements, and publishing results. A Master’s in a relevant field and strong EMI/EMC knowledge are required.

Qualifications

• Master's degree in a relevant technical field.
• Strong understanding of power electronics and EMI/EMC.
• Programming experience in Python or MATLAB.
• Interest in machine learning and physics-informed AI.
• Ability to work independently in an interdisciplinary setting.

Responsibilities

• Develop AI/ML and physics-informed models for predicting radiated emissions.
• Work with power electronic converter models, EM simulations and measurement data.
• Analyze dominant radiation mechanisms in converter systems.
• Build and validate surrogate models for fast estimation.
• Compare AI-assisted methods with conventional EMC approaches.
• Publish results and contribute to benchmarks.

Skills

Power electronics

EMI/EMC

Electromagnetic fields

Python

MATLAB

Machine learning

Independent working style

Education

Master's degree in Electrical Engineering / Power Electronics / Electromagnetics / Applied Physics / Computer Science

Tools

PyTorch

TensorFlow

Job description

Silicon Austria Labs GmbH in Graz, Austria, invites applications for a PhD candidate to develop AI-assisted modelling of radiated emissions from power electronics converters. The project is co-supervised with SDU, with SAL hosting most of the work, and aims to advance EMC-aware converter design.

Responsibilities include building physics-informed ML models, leveraging simulations and measurements, and publishing results. A Master’s in a relevant field and strong EMI/EMC knowledge are required.