Siemens PhD Intern - Generative Design, Design Space Exploration Algorithms in Princeton, New Jersey

PhD Intern - Generative Design, Design Space Exploration Algorithms

Locations:Princeton, New Jersey

Job Family: Research & Development


Job Description

Division: Corporate Technology

Business Unit: Corporate Technology

Requisition Number: 201370

Assignment Category: Full-time temporary

Experience Level: Entry level

Education Required Level: Master's Degree

Travel Required: No

Job Description:

Position Overview

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 its global network of experts, CT is a strategic partner to Siemens’ operative units. It provides important services along the entire value chain – from research and development to production and quality assurance, as well as optimized business processes. The support provided to the businesses in their research and development activities is ideally balanced with CT’s own future-oriented research.

Siemens’ central research and development arm sees itself as a strategic partner to the company’s businesses. It plays a key role in achieving and maintaining leading competitive positions in the fields of electrification and automation while at the same time helping Siemens fully tap into the growth field of digitalization.

The people who work at CT are more than employees. They 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 CT you’ll be working in the heart of Siemens’ technological research.

The CTAutomation and Control Technology Field is seeking a highly motivated PhD student available for a 3-9month internship for our Princeton, NJ location. The successful candidate will develop generative design, software components to support autonomous design space exploration .

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.


  • Contribute to research projects that develop computer-aided design explorationand optimization applications for complex mechanical systems.

  • Fastprototyping, feasibility studies, specification and implementation of designexploration techniques.

  • Apply design space exploration techniques to large-scale, real-world problems.

  • Helpadvance the state-of-the-art in the field, including generating patents andpublications in top journals and conferences.

Required Knowledge/Skills, Education, and Experience

  • A PhDstudentinComputer Science, Mechanical Engineering, or related discipline for research.

  • Hands-on coding skills and ability to quicklyprototype in C++ and Python.

  • Prior experience in CAD, CAE, multi-disciplinary optimization, AI, machinelearning.

  • Solid theoretical knowledge of geometry representations in design.

  • Outstanding written and interpersonal communication skills in Englishis required.

  • Show passion for technologies with a can-do attitude .

  • Drive andmotivation for career development and open to taking on challenges.

  • Team player who can also be independent,prioritize work and thrives in a fast-paced dynamic environment.

  • Successful candidate must be able to work with controlledtechnology in accordance with US Export Control Law. US Export Control laws andapplicable regulations govern the distribution of strategically importanttechnology, services and information to foreign nationals and foreigncountries. Siemens may require candidates under consideration for employmentopportunities to submit information regarding citizenship status to allow theorganization to comply with specific US Export Control laws and regulations.Additional information on the US Export Control laws & regulations can befound on

Qualified Applicants must be legally authorized for employment in the United States. Qualified Applicants will not require employer sponsored work authorization now or in the future for employment in the United States.

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, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, protected veteran or military status, and other categories protected by federal, state or local law.

EEO is the Law

Applicants and employees are protected under Federal law from discrimination. To learn more, Click here at .

Pay Transparency Non-Discrimination Provision

Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here at .