Description
Simulation, Machine Learning and Optimization Engineer– 3+ Month Internship
Siemens Foundational Technology (FT) is the central R&D department of Siemens and thus has a key role in shaping the future of our Simulation and Digital Twin technology. FT acts as a strategic partner to support the executive units of Siemens. In consequence, the main research focus is on future technologies for industry, infrastructure, mobility, and healthcare. We are looking for an Intern who will work within our Design and Simulation of Systems research team in Princeton, NJ.
#TransformtheEveryday
In this role, you will work on-site in Princeton, NJ. The position is a full-time position for at least 3 months and remote work is not available.
Role Summary
In this internship, we are looking for a motivated and talented student with experience in simulation, machine learning, and optimization methods. You will build engineering analysis and optimization workflows with the help of traditional numerical methods and machine learning methods. Additionally, you will benchmark your workflows and third-party tools. The internship provides a unique experience to contribute to innovative industrial applications while being mentored by experienced research professionals in an international setting.
Key Responsibilities
• Create industrial simulation models (based on first principles and/or ML approaches) for various physics (heat, electromagnetic, and multi-physics) and industries (manufacturing, automotive, and buildings).
• Integrate simulation models into high-order workflows and pipelines, such as optimization and uncertainty quantification assessments.
• Test and benchmark the created simulation models with third-party or publicly available data.
• Collaborate with domain and subject matter experts who seek to design and develop novel solutions for challenging real-world industrial problems.
• Document learnings and project progress and regularly present results to the research and consulting team. Publication of results is encouraged where possible.
Basic Qualifications
• Enrolled in a Mechanical, Aerospace, Industrial, Civil or similar Engineering master’s program.
• Hands-on experience for modeling and simulating products with engineering software for the automotive, energy, and manufacturing industries.
• Experience with setting ML model training and testing/evaluating ML models.
• Basic experience in numerical method development (finite element, finite volume, …)
• Knowledge of the latest ML approaches and architectures.
• Software development in Python.
• Proficiency in English (verbal & written).
Preferred Skills
• Flexibility and resourcefulness to work in a growing, dynamic, interdisciplinary team of specialists.
• Ability to work independently and manage time effectively.
• Enrolled in a Mechanical, Aerospace, Industrial, Civil or similar Engineering PhD program
• Ability to quickly learn to use new technologies and frameworks.
• Experience with software tools for modeling and simulation such as Simcenter 3D, Simcenter Amesim, and/or MATLAB/Simulink, etc.
• Hands-on experience with Scientific Machine Learning.
• Familiar with Linux systems and computational clusters (CPU/GPU).
• Basic experience in version control systems and agile development, among others.
• Hands-on experience with software development in C++.
• Real-world problem-solving and a hands-on, can-do mentality.
• Eager to present your proposals and results in front of a big audience.
Work setting
The position requires the person to be in the United States of America and hold a valid work permit for the US.
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.
Our Commitment to Diversity, Equity, and Inclusion:
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. Come bring your authentic self and create a better tomorrow with us. Learn more about our commitment to DEI here.
Protecting the environment, conserving our natural resources, fostering the health and performance of our people as well as safeguarding their working conditions are core to our social and business commitment at Siemens. They are an integral part of our Business Conduct Guidelines and our corporate strategy.
LI-JS
LI-Onsite
Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity 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.
Reasonable Accommodations
If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you’re unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.
EEO is the Law
Applicants and employees are protected under Federal law from discrimination. To learn more, Click here.
Pay Transparency Non-Discrimination Provision
Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here.
California Privacy Notice
California residents have the right to receive additional notices about their personal information. To learn more, click here.
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity 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.
Reasonable Accommodations
If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you’re unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.
EEO is the Law
Applicants and employees are protected under Federal law from discrimination. To learn more, Click here.
Pay Transparency Non-Discrimination Provision
Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here.
California Privacy Notice
California residents have the right to receive additional notices about their personal information. To learn more, click here.
Criminal History
Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.
Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.
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