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Urgent! Energy Market Modeling & Optimization for Smart Grids - Internship Job Opening In Princeton – Now Hiring Siemens
**Job Family:** Research & Predevelopment
**Req ID:** 481369
**Energy Market Modeling & Optimization forSmart Grids - Internship**
Here at Siemens, we take pride in enabling sustainable progress through
technology.
We do this through empowering customers by combining the real and
digital worlds.
Improving how we live, work, and move today and for the next
generation! We know that the only way a business thrives is if our people are
thriving.
That’s why we always put our people first.
Our global, diverse team
would be happy to support you and challenge you to grow in new ways.
Who knows
where our shared journey will take you?
**Transform the everyday with us!**
Are you interested in developing new energy market models and
optimization functions for real industrial smart grid applications?
**This isa 6-12 month opportunity** that may be the right internship opportunity for
you!
**In this role you will work on-site inPrinceton, NJ.**
With the Autonomous Systems and Control group you will investigate
new energy market models and optimization functions for smart grids.
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.
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.
**Key responsibilities:**
+ Contribute to industrial software projects on modeling andoptimization for energy markets and smart grids
+ Collaborate and exchange ideas with experts in the fieldsof modeling, control and optimization
+ Implement concepts and solutions in Python programminglanguage.
**Basic Qualifications:**
+ A Bachelor’s degree or current M.Sc. or PhD studentpursuing a degree in Electrical Engineering, Computer Engineering or similarmajors
+ Programming knowledge and hands-on experience with Python,Git and common coding principles, e.g., writing clean, reusable code
+ Domain knowledge in energy systems
+ Proficiency in English, both written and verbal.
**Preferred Qualification** :
+ Advanced algorithm development
+ Experience in power systems, energy trading and ancillaryservices
+ Mathematical optimization
+ Flexibility and adaptability to work in a growing, dynamic,interdisciplinary team of experts
**May consider sponsorship of J-1 visa students (6-12months), dependent upon program requirements.**
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 ourDiverse 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
$25.00 $45.00
**Organization:** Foundational Technologies
**Job Type:** Full-time
**Category:** Internal Services
✨ Smart • Intelligent • Private • Secure
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Unlock Your Energy Market Potential: Insight & Career Growth Guide
Real-time Energy Market Jobs Trends in Princeton, United States (Graphical Representation)
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Great news! Siemens is currently hiring and seeking a Energy Market Modeling & Optimization for Smart Grids Internship to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Siemens adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Energy Market Modeling & Optimization for Smart Grids Internship Jobs United States varies, but the pay scale is rated "Standard" in Princeton. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Energy Market Modeling & Optimization for Smart Grids Internship typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Energy Market Modeling & Optimization for Smart Grids Internship interview at Siemens, research the company, understand the job requirements, and practice common interview questions.
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