Power Systems Researcher

vor 2 Wochen

Erlangen, Bayern, Deutschland Siemens Energy Vollzeit
About the Role

PhD Student (f/m/d) for Analysis of AC/DC Power Systems

Location: Germany, Bayern, Erlangen

Mode of Employment: Part-time / Fixed Term

A Snapshot of Your Day

In your role as a PhD Student for analysis of AC/DC power systems, you will conduct research and developments on advanced power generation and transmission systems. You will work closely with experienced power system consultants within an EU Horizon Project on the computation and analysis of modern AC/DC power systems with advanced power electronics controllers.

How You'll Make an Impact

  • Independently conduct research and development of new applications and tools for electric power generation, transmission, and control systems.
  • Develop mathematical models in RMS and EMT for various transmission and generation system components (e.g., HVDC, FACTS, Machines) using relevant simulation tools such as PSS/E, PowerFactory, and PSCAD.
  • Design and develop automation and software tools to enhance the accuracy and efficiency of power system studies.
  • Create innovative AI and ML-based applications and tools for the efficient planning and analyzing electric power systems and controllers.
  • Actively collaborate with internal experts and research institutions to co-innovate and co-create new solutions for emerging challenges in power system generation and transmission.

What You Bring

  • Completed master's degree in electrical power engineering with excellent academic record and previous research experience.
  • Possess strong theoretical and practical background within the fields of power systems and control engineering.
  • Proficient in using one or more of the standard power system simulation programs (e.g., PSS/E, PowerFactory, PSCAD/EMTDC) and programming languages (e.g., Matlab, Python, Fortran).
  • Experienced in control theory, particularly in control algorithms for electric power systems and power electronics converters.
  • Strong background in machine learning techniques, statistics, and probability.
  • Good communication skills in business; fluent in English, German is a plus.

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