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Power System Modeling, Control and Optimization - Internship
Are you interested in developing new power system simulation and optimization tools for real industrial AI datacenter applications? Here's the right internship opportunity for you!
Join our research group, Autonomous Controls and Operations, located in Princeton, NJ, for a 3-6 month internship, and contribute to the development of AI datacenter power systems simulation studies. Our close contact with different business units in Siemens provides the opportunity to contribute to and gain experience in real industrial applications. During this internship, you will experience the excitement and challenges of industrial research. An internship with Siemens Technology is a great opportunity for students to gain real-world experience in a diverse work environment.
In this role, you will work on-site in Princeton, NJ.
Our Princeton facility is recognized for providing a stimulating environment for highly talented and self-motivated students. You will have the opportunity to test your knowledge in a challenging problem-solving environment. You will be encouraged to think out of the box, innovate and find solutions to real-life problems. Our team has a strong publication record in leading journals and conferences.
#Transformtheeveryday
Key Responsibilities:

• Contribute to industrial research projects on power system simulation and analysis for AI datacenter applications
• Develop, implement, and validate power systems and power electronics models using Matlab/Simulink, PSCAD, and PSSE for steady-state and dynamic studies
• Perform electromagnetic transient (EMT) and RMS simulations to support power system design and stability analysis
• Develop Python-based automation scripts and post-processing tools to support simulation workflows and results analysis
• Contribute to the development and maintenance of the asset performance library
• Collaborate and exchange ideas with experts in the fields of power systems, control, and optimization across Siemens research and business units

Basic Qualifications:

• A current or recently graduated MS or PhD student pursuing a degree in Electrical Engineering, Power Systems Engineering, Computer Science, Applied Mathematics, or a closely related field
• Strong hands-on experience with Matlab/Simulink for power system modeling, simulation, and control design
• Proficiency in PSCAD for electromagnetic transient (EMT) simulations of AC/DC power systems
• Experience with PSSE (PSS®E) for power flow, dynamic simulation, and network analysis studies
• Solid programming proficiency in Python - including experience writing clean, modular, reusable code and working with scientific computing libraries such as NumPy, SciPy, and pandas
• Foundational knowledge of power systems - including AC/DC circuit analysis, load flow concepts, power system stability, and basic generator operation principles
• Proficiency in English, both written and verbal

Preferred Qualifications:

• Practical experience conducting power system studies such as load flow, short circuit, transient stability, and dynamic analysis using industry-standard tools
• Experience integrating simulation tools (PSCAD, PSSE, Matlab/Simulink) with Python for automated workflows and batch simulations
• Familiarity with microgrid design, islanded power system operation, or datacenter power infrastructure
• Experience with software development best practices: version control (Git), unit testing (pytest), and technical documentation
• Flexibility and adaptability to work in a growing, dynamic, interdisciplinary team of experts across power engineering, software development, and data science

A successful candidate must be able to work with controlled technology in accordance with US Export Control Law. US Export Control laws and applicable regulations govern the distribution of strategically important technology, services, and information to foreign nationals and foreign countries. Siemens may require candidates under consideration for employment opportunities to submit information regarding citizenship status to allow the organization to comply with specific US Export Control laws and regulations. Additional information on the US Export Control laws & regulations can be found on https://www.bis.doc.gov/index.php/policy-guidance/deemed-exports/deemed-exports-faqs
About Siemens:
We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose, adding real value for customers. Learn more about Siemens here.
Our Commitment to Equity and Inclusion in our Diverse Global Workforce: We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.
#LI-JS
#LI-Onsite
#PowerSystems, #PowerEngineering, #DataCenterPower
You'll Benefit From
Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html
The pay range for this position is $33-47 per hour. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications and premium geographic location.
Equal Employment Opportunity Statement
Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
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