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PhD Student (f/m/d) for analysis of AC/DC power systems

Siemens Energy
Erlangen, Bavaria, Germany
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Location : ERL S SP 11

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.

You will be actively involved in research collaboration with research institutions and industry partners to find innovative solution to various technical challenges and improve the products and services of Siemens Energy.

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

About the Team

Our Grid Technology division enables a reliable, sustainable, and digital grid. The power grid is the backbone of the energy transition.

Siemens Energy offers a leading portfolio and solutions in HVDC transmission, grid stabilization and storage, high voltage switchgears and transformers, and digital grid technology.

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected.

With more than 94,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we're also using our technology to help protect people and the environment.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible.

We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Find out how you can make a difference at Siemens Energy : https : / / www.siemens-energy.com / employeevideo

Our Commitment to Diversity

Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities.

Siemens Energy celebrates character - no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

Rewards / Benefits

  • Exciting insights into a large international company
  • Lay the foundation for your career with us

We value equal opportunities and welcome applications from people with disabilities.

https : / / jobs.siemens-energy.com / jobs

Vor 30+ Tagen
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