Siemens Careers

Hybrid Simulation Engineer Internship

Princeton, New Jersey
Internal Services

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English (US)

Job Description

Division: Corporate Technology
Business Unit: Corporate Technology
Requisition Number: 231831
Primary Location: United States-New Jersey-Princeton
Assignment Category: Full-time temporary
Experience Level: Entry level
Education Required Level: Bachelor's Degree
Travel Required: No

Division Description:

For nearly 170 years, pioneering technologies and the business models developed from them have been the foundation of Siemens‘ success. Our central research and development unit, Corporate Technology (CT) plays an important role in this. Together with our global network of experts, we are a strategic partner to Siemens’ operative units and provide important services along the entire value chain – from research and development to production and quality assurance, as well as optimized business processes. Our support provided to the businesses in their research and development activities is ideally balanced with our own future-oriented research.


We at Corporate Technology are more than employees: We are actively helping to make people’s lives a little better every day. Would you like to be a part of that? Then join us. We offer you a high level of practical relevance as well as an opportunity to individually contribute your knowledge and

your visions around the world. Whether you’re helping to develop products for the operating units or working in interdisciplinary projects for the business areas: At Corporate Technology you’ll be working in the heart of Siemens’ technological research together with the best.



Job Description:

Description:

Are you interested in driving the technology of multi-physics numerical simulation for real industrial applications? 

 

Here’s the right internship opportunity for You!

Join our Product Modeling and Simulation Research Group (PSM RG) to develop solutions to real-world problems. The CT Simulation and Digital Twin Technology Field (SDT TF) is seeking a highly motivated Master/PhD student available for 3 to 12 month internship in the area of multi-physics and multi-disciplinary simulations. The project will involve analysis of state-of-art in academia and industry, and design of novel practical techniques to address challenging problems in multi-disciplinary numerical simulations.


The Product Design, Modeling and Simulation Research Group, is the lead organization of Defense Advanced Research Projects Agency (DARPA) Transformative Design (TRADES) program, to advance the computational tools to address design representation, analysis and synthesis of design with enormous complexity. It also partners with top US universities in projects funded by agencies like America Makes, Digital Manufacturing and Design Innovation Institute to advance  simulation tools used for design and advanced manufacturing. Our focus is both on speeding up the multi-disciplinary simulation tools as well as characterize and improve the accuracy of digital twins of physical systems.


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. Our close contact to different business units in Siemens provide the opportunity for you to contribute and gain experience in real industrial applications. During this internship, you will experience the excitement and challenges of industrial research. An internship with Siemens Corporate Technology is a great opportunity for students to gain real world experience in a diverse work environment.


 

What are my responsibilities?

  • You will contribute to developing software to model complex systems.
  • You will apply numerical simulation techniques to large-scale, real-world problems.
  • You will implement advanced numerical algorithms and to integrate them with existing software libraries.
  • You will help advance the state-of-the-art in the field, including generating patents and publications in top journals and conferences.


What skills are needed to qualify for this internship?

  • A Master or PhD student in Computer Science, Mechanical Engineering, Applied Mathematics or related discipline for research. 
  • At least 1 year of experience in advanced algorithm prototyping
  • At least 2 years hands-on programming experience in C++ and Matlab, or other mainstream programming languages
  • Prior experience in multi-physics (e.g. structural, thermal, fluid dynamics) computer-aided engineering simulation and analysis required.
  • Experience with reduced order modeling, system simulation or other related techniques preferred.
  • Experience with commercial tools such as NX CAE, Simcenter, NASTRAN, StarCCM+ preferred.
  • Experience with high performance computing or GPU computing is preferred.
  • Experience in design optimization methods (topology optimization, parametric optimization, etc.) are preferred
  • Publications and research experiences in related fields
  • Excellent team working and communication (verbal & written) skills
  • Flexibility and adaptability to work in a growing, dynamic, interdisciplinary team of experts.
  • 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

 

 

This position is expected to be filled by January 31st, 2019.  Students may start right away, or in their summer semester.


URCT


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