Job
- Level
- Erfahren
- Ort
- Graz
- Arbeitsmodell
- Onsite
- Job Feld
- Data, Embedded
- Anstellung
- Vollzeit
- Vertragsart
- Befristetes Dienstverhältnis
- Gehalt
- ab 3.651 € Brutto/Monat
Job Zusammenfassung
In dieser Position entwickelst du AI-Modelle zur Vorhersage von Strahlungsemissionen und erstellst datengetriebene Modelle für die schnelle Bewertung der elektromagnetischen Verträglichkeit von Leistungselektroniken.
Job Technologien
Deine Rolle im 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.
- 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.
Unsere Erwartungen an dich
Ausbildung
- A Master's degree in Electrical Engineering, Power Electronics, Electromagnetics, Applied Physics or Computer Science.
Qualifikationen
- Very good understanding of power electronics, EMI/EMC, electromagnetic fields and circuit/system modelling.
- 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
Erfahrung
- Programming experience, preferably in Python, MATLAB or similar tools.
- Experience with one or more of the following is advantageous:
Unser Angebot
- 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).
Benefits
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Job Standorte
Das ist dein Arbeitgeber
Silicon Austria Labs GmbH
Graz, Altenberg Bei Linz
Mit SAL entsteht ein europäisches Spitzenforschungszentrum für elektrische Systeme. Im Netzwerk von Wissenschaft und Wirtschaft betreiben wir Forschung auf höchstem globalem Niveau und schaffen so die Basis für neuartige Produkte und Prozesse.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Wissenschaft, Forschung
Arbeitgeber-Reviews
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Culture
3.0Career Growth
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PhD position - Electromagnetic Compatibility & AI
- Gehalt
- ab 3.651 € Brutto/MonatNetto aus dem Bruttogehalt im Inserat umgerechnet.ab 2.547 € netto/Monat
- Ort
- Graz
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
