PhD position - Electromagnetic Compatibility & AI (all genders)

Silicon Austria Labs GmbH

KI-Zusammenfassung

Silicon Austria Labs (SAL) sucht einen motivierten Doktoranden, der an der KI-unterstützten Modellierung und Vorhersage von abgestrahlten elektromagnetischen Emissionen von Leistungselektronik-Konvertern arbeitet. Der Kandidat wird eng mit SAL-Forschern zusammenarbeiten, um Anwendungsfälle für die Industrie zu entwickeln und erhält akademische Aufsicht von der Universität Süddänemark (SDU). Das Projekt kombiniert die Bereiche Leistungselektronik, elektromagnetische Verträglichkeit und KI-basierte Modellierung.

Silicon Austria Labs (SAL), in collaboration with the University of Southern Denmark (SDU), is seeking a motivated PhD candidate to work on the AI-assisted modelling and prediction of radiated electromagnetic emissions from power electronics converters.

The PhD project will be co-supervised by SAL and SDU. The candidate will spend most of the project period at SAL in Austria, working closely with SAL researchers to develop power electronics use cases for industry. The candidate will also receive academic supervision and scientific guidance from SDU, nevertheless the workplace is Graz.

The PhD project combines the fields of power electronics, electromagnetic compatibility, radiated emission measurements, electromagnetic simulation, and AI-based modelling. The project aims to develop practical methods to help identify dominant radiation mechanisms, predict emission levels, and support EMC-aware converter design.

Your future tasks include:

Research topic

  • Physics-informed AI models for predicting radiated emissions.
  • Data-driven surrogate models for fast electromagnetic compatibility (EMC) assessment of converter designs.
  • Modelling of dominant radiation sources, current loops, switching nodes, cables, heat sinks and PCB structures.
  • Use of simulation and measurement data for AI model training and validation.
  • Development of practical workflows for the early-stage design of EMC-aware power electronics.

The project will not primarily focus on conducted emissions, but may consider source and coupling mechanisms where they influence the behaviour of radiated emissions.

Main tasks:

  • Develop AI/ML and physics-informed modelling methods for predicting radiated emissions.
  • Work with power electronic converter models, electromagnetic simulations and measurement data.
  • Analyse dominant radiation mechanisms in converter systems.
  • Build and validate surrogate models for fast radiated emission estimation.
  • Compare AI-assisted methods with conventional EMC simulation and measurement approaches.
  • Develop benchmark and validation cases based on realistic converter structures.
  • Publish results.

Your profile:

  • A Master's degree in Electrical Engineering, Power Electronics, Electromagnetics, Applied Physics or Computer Science.
  • Very good understanding of power electronics, EMI/EMC, electromagnetic fields and circuit/system modelling.
  • Programming experience, preferably in Python, MATLAB or similar tools.
  • Interest in machine learning, surrogate modelling, scientific machine learning, or physics-informed AI.
  • Ability to work independently and in an interdisciplinary research environment

Experience with one or more of the following is advantageous:

  • Radiated emission measurements or EMC testing
  • Power converter modelling and high-frequency switching behaviour
  • Electromagnetic simulation tools
  • Near-field scanning
  • Machine learning frameworks such as PyTorch or TensorFlow
  • Physics-informed neural networks or hybrid physics-AI modelling
  • Signal processing and data analysis

Important Facts about SAL:

  • Diverse research activities with many technical challenges.
  • State-of-the-art laboratory facilities and equipment.
  • Location in the heart of Europe in Austria - relocation support for non-European nationalities.
  • Internal and external training opportunities for career development.
  • Family & children friendly - actively shaping the compatibility of family and career.
  • "Vital4SAL" to promote a healthy workplace (e.g. SAL coaching pool, trainings on mental health, physical activities, healthy snacks, 24/7 accident insurance)
  • € 4 per day meal allowance in restaurants or € 2 per working day in supermarkets.
  • Public transport initiative (subsidy for the "Klimaticket")
  • Our values: Open door policy, flexibility in working hours, casual dress code, diverse teams, working with people of different nationalities, informal communication, lifelong learning, compatibility of family and career, sustainability, personal growth, and collective advancement.

This position is advertised in accordance with the collective agreement for employees in non-university research (Research CA). For this position, we offer a 3 years limited contract with the focus on pursuing the PhD. For this position, your monthly salary will be EUR 3.651, paid 14 times a year (based on an All-in contract).

About us:

Silicon Austria Labs (SAL) is a top research center for Electronics and Software Based Systems (ESBS). At three locations (Graz, Villach, Linz), SAL is conducting research along the entire ESBS value chain...

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