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Power System Control and Simulation Internship

Job in Princeton, Mercer County, New Jersey, 08543, USA
Listing for: Siemens
Apprenticeship/Internship position
Listed on 2026-09-09
Job specializations:
  • Engineering
    Robotics
Salary/Wage Range or Industry Benchmark: 48000 - 65000 USD Yearly USD 48000.00 65000.00 YEAR
Job Description & How to Apply Below

Job Family:
Research & Predevelopment Req  Power System Control and Simulation Internship

Siemens
Foundational Technologies is seeking a highly motivated and technically
strong Power System Simulation Intern to join the Autonomous
Controls and Operations research group in Princeton, NJ for a 3–6 month internship. This role is focused on dynamic modeling and simulation of inverter-based resources (IBRs) in PSS®E, with particular emphasis on Grid-Forming (GFM) and Grid-Following (GFL) inverter technologies, wind energy system modeling, and the development and application of user-defined models (UDMs) for power system dynamic studies.

This internship
is well suited for candidates with strong experience in power system dynamics, renewable generation modeling, and simulation tool development workflows. The selected candidate will contribute to advanced simulation studies relevant to modern power systems with increasing penetration of inverter-based and renewable resources. The role includes model implementation, validation, automation, and technical analysis in support of industrial research applications.

This role youwould work on-site in Princeton, NJ.

#Transform The Everyday

Key Responsibilities
  • Develop, implement, compile,integrate, and validate PSS®E user-defined models (UDMs) inPSS®E for advanced inverter control, renewable generation, and dynamic system studies, e.g., WECC generic renewable energy models,especially wind models, for utility-scale power system simulations
  • Model and simulate wind energy conversion systems and wind power plants, including different wind generation technologies and control representations used in stability studies
  • Use Fortran-based model development workflows and compiler environments to build and maintainPSS®E dynamic model libraries
  • Perform dynamic simulations inPSS®E for inverter-based resources, including detailed investigation of GFM inverter behavior under disturbances and varying grid conditions to evaluate transient stability, dynamic performance, control interactions, and system strength impacts associated with inverter-based resources
  • Develop Python-based tools and scripts for simulation automation, batch execution, output processing, data analysis, and result visualization
  • Support model benchmarking,validation, and comparison against expected dynamic behavior or referenceimplementations
  • Prepare technical documentation summarizing model assumptions, parameterization, simulation methodology,and findings
  • Collaborate with Siemens researchers and engineers on advanced power system studies involving renewable integration and inverter-dominated grids
Basic Qualifications
  • Currently enrolled in an MS orPhD program in Electrical Engineering, Power Systems Engineering, or similar in an accredited university.
  • Hands-on experience with PSS®Edynamic simulations, including dynamic case setup, disturbance definition,model execution, and response evaluation
  • Familiarity with Fortranprogramming and compiler tool chains used for PSS®E model compilation and integration
  • Proficiency in Python for engineering workflows, simulation automation, and technical data analysis
  • Background in wind energy technologies, including modeling and simulation of different windpower generation types
  • Understanding of Grid-Forming(GFM) and Grid-Following (GFL) inverter control concepts and dynamic behavior
  • Solid foundation in power system dynamics, stability, and control
  • Proficiency in English both written and verbal
  • Authorized to work in the United States without corporate sponsorship now and in the future
Preferred Qualifications
  • Experience developing, modifying,or working with user-defined models (UDMs) in PSS®E
  • Experience with WECC generic renewable models, particularly wind turbine / wind plant models
  • Experience using Python libraries such as Num Py, pandas, and Matplotlib for analysis and visualization
  • Ability to work effectively in atechnically deep, research-oriented, and collaborative environment
Export Control / Eligibility Statement

A successful
candidate must be able to work with controlled technology in accordance
with U.S. Export Control Law. U.S. Export Control laws and applicable
regulations govern the distribution of strategically…

Position Requirements
Less than 1 Year work experience
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