Job
In this role, you will develop AI models to predict radiated emissions and create data-driven surrogate models for fast electromagnetic compatibility assessment of power electronics.
This listing has been machine translated. Show original
Job technologies
Your role in the team
- Possible research directions include:
- 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.
- Develop AI/ML and physics-informed modelling methods for predicting radiated emissions.
- Work with power electronic converter models, electromagnetic simulations and measurement data.
- Analyze 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.
Our expectations of you
Education
- A Master's degree in Electrical Engineering, Power Electronics, Electromagnetics, Applied Physics or Computer Science.
Qualifications
- Sehr gutes Verständnis von Leistungselektronik, EMI/EMC, elektromagnetischen Feldern sowie Schaltungs- und Systemmodellierung.
- Interest in machine learning, surrogate modelling, scientific machine learning, or physics-informed AI.
- Ability to work independently and in an interdisciplinary research environment
- 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
Experience
- Programming experience, preferably in Python, MATLAB or similar tools.
- Experience with one or more of the following is advantageous:
What we offer
- Diverse research activities with many technical challenges.
- State-of-the-art laboratory facilities and equipment.
- Standort im Herzen Europas in Österreich - Unterstützung bei der Umsiedlung für Nicht-Europäische Staatsangehörige.
- 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, training 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-year 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).
Benefits
Food & drink
Higher take-home pay
Work-Life-Integration
Health, fitness & fun
Topics you will work on
Job locations
About your employer
Graz, Altenberg Bei Linz
With Silicon Austria Labs (SAL), we are creating a top European research center for electronic systems. We have world-class research that creates the basis for innovative products and processes in cooperation with science and business.
- Established Company
- Onsite, Hybrid, Full Remote
- Science, Research
Employer reviews
- Team culture
- 3.0
- Career growth
- 3.4
- Working conditions
- 3.6
- Engineering
- 3.6
More jobs
These jobs might also interest you
As a Data Engineer, you’ll play a key role in building modern, scalable, and high-performance data solutions on Google Cloud Platform (GCP). You’ll be part of our growing Data & AI team, designing and implementing data architectures that help clients...
This is your chance to take real ownership of the hardware side within a small, high-performing team—with far more impact than you’d have in a huge organization. You’ll own the firmware our devices run on, manage the process with our manufacturer and...
We are one of the leading European manufacturers of innovative biomass heating systems (firewood, wood chips, pellets). Due to the strong demand for our products and the excellent future prospects for "renewable energy," we are expanding our team. ...