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Research Scientist – Sustainable and Resilient Power System
Siemens
Siemens focuses on electrification, automation, and digitalization across various industries.
Develop and optimize simulation models for renewable‑rich, resilient power systems.
Work with Siemens’ business units to understand customer requirements and deliver solutions.
Protect the results of your work through patent applications and publish results at conferences or in top journals.
Test and validate power system models and control functions in laboratory and field tests.
Develop detailed EMT models for various power system components and configurations, including HVDC, FACTS, renewable energy plants (wind, solar), and conventional generation.
Implement advanced control and optimization concepts in feasibility studies, technical specifications, prototypes, and integrate them into larger systems and product components.
Perform comprehensive power system stability analyses, including rotor angle stability, voltage stability, frequency stability, and small-signal stability particularly with high penetration of inverter-based resources
Develop dynamic power system simulation models for sustainable and resilient power systems with high integration of renewable generation resources
Utilize industry-standard software such as PSS/E, PSLF, PowerFactory, TSAT, and/or DSA Tools for dynamic simulations and control design
What you bring
opal-rt
pscad
python
microgrid design
phd
work authorization
Proficiency in English, both written and verbal.
Hardware-in-the-loop testing and real-time simulator like OPAL-RT.
Profound expertise in EMT software: PSCAD, EMTP-RV, and/or ATP-EMTP
Real world problem solving and a hands-on, can-do mentality.
Experience with programming languages such as Python, MATLAB, or C++ for automation, custom model development, and advanced analysis.
Domain knowledge in power grid modeling and dynamic control
Solid knowledge of power system stability concepts (transient, small-signal, voltage, frequency)
Expertise in microgrid design and operation
Publications in relevant journals or conferences showcasing expertise in power system dynamics and control.
Familiarity with relevant industry standards and grid codes pertaining to grid stability and control
Prior R&D experience in industry or national labs.
In-depth knowledge of control for power inverters and power generation
Master’s Degree in Engineering or similar degree from an accredited university with strong focus on modeling, control and optimization for inverter-dominated power systems
PhD in Engineering or related fields with a focus on power system.
3 years advanced knowledge in modelling and simulation of power systems with high integration of inverter-based resources like detailed dynamic modelling and simulation (RMS/EMT)
Experience with software tools for power system modeling and simulation such as MATLAB/Simulink, PSCAD, OpenDSS, PSS®E, etc.
Legally authorized to work in the United States without sponsorship now or in the future.
Benefits
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Training + Development
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Interview process
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Visa Sponsorship
must be legally authorized to work in the united states without sponsorship now or in the future.
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