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Lead Power Electronic Systems Modelling Engineer
Job in
Rugby, Warwickshire, CV21, England, UK
Listed on 2026-05-31
Listing for:
IF1874 GE Energy Power Conversion UK Limited
Full Time
position Listed on 2026-05-31
Job specializations:
-
Engineering
Electrical Engineering, Systems Engineer
Job Description & How to Apply Below
Job Description Summary
The Power Electronic Systems Modelling Engineer will be responsible for creating, validating, and implementing sophisticated models of power electronic systems, converter‑based architectures, and their interactions with electrical machines and power networks. This role requires a comprehensive system‑level understanding of operational environments, encompassing the integration of multiple electric drive systems such as power converters, electric motors, dynamic loads, and the interplay among these components within unified systems.
Key Responsibilities- Modelling Design – determine required system‑level information and design appropriate modelling fidelity for electrical, mechanical, and thermal components.
- System‑Level Model Implementation – implement models using MATLAB/Simulink, PLECS, ANSYS Twin Builder, PSCAD, and DIgSILENT Power Factory; manage data exchange and coupling between different simulation environments.
- High‑Fidelity Dynamic Model Development – create detailed dynamic models of power electronic converter systems, electrical machines, and power systems with advanced tools.
- System‑Level Studies and Analysis – conduct steady‑state and transient studies, verify model correctness, analyze grid stability, harmonic distortion, and control interactions.
- Converter Control Strategy Modelling – investigate and model converter control strategies (dc & ac grids, current/voltage control, droop control, grid‑forming and grid‑following control, active and reactive power management).
- Model Development for Different Analysis Layers – develop reduced‑order and high‑fidelity models for control design and large‑scale power network simulations.
- Multi‑MW Converter System Design and Optimization – support design and optimisation of multi‑MW converter systems, representing electromagnetic, thermal, and dynamic behaviours.
- Control & Simulation Development – design, implement, and validate control algorithms for system‑level integration models, conduct time‑domain, frequency‑domain, and stability analyses.
- Digital Twin and Real‑Time Simulation – develop HIL and SIL testing frameworks aligned with defined test cases to evaluate system performance under representative conditions.
- Evaluate Influence of Converter Topology – assess impact of modulation techniques and control architectures on system‑level performance.
- System Studies & Integration – conduct grid integration studies, fault‑ride‑through, system strength, and power quality assessments; collaborate with cross‑functional teams.
- Validation & Documentation Support – validate models against experimental and field test data; document procedures, assumptions, and validation results for traceability.
- Knowledge Sharing – contribute to technical reports, publications, and design reviews to support internal R&D and customer projects.
- Continuous Learning – stay current with emerging modelling methodologies, tools, and standards for converter‑based power systems.
- Essential – Degree (BEng, MEng or PhD) in Electrical Engineering, Power Systems, Control Engineering, or a related discipline.
- Strong theoretical and practical understanding of power electronics converters, control systems, and electrical machines.
- Proven experience in dynamic system modelling and simulation of converter‑based power systems.
- Expertise with tools such as MATLAB/Simulink, PLECS, ANSYS Twin Builder, PSCAD, PSSE, DIgSILENT, or Modelica (strong plus).
- Understanding of control design, signal processing, and system stability theory.
- Knowledge of grid integration challenges in renewable or converter‑dominated networks (e.g., wind, solar, HVDC, microgrids).
- Desirable – experience with real‑time simulation platforms (OPAL‑RT, Typhoon HIL, RTDS).
- Familiarity with EMT, RMS, and hybrid simulation techniques for multi‑timescale studies.
- Experience in harmonic analysis, electromagnetic transient analysis, or EMC/EMI modelling.
- Background in co‑simulation frameworks combining electrical, thermal, and mechanical domains.
- Strong programming and scripting skills (MATLAB, Python, C/C++, Modelica, or VHDL‑AMS).
- Team‑Working Attitude – collaborates…
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