Siemens PhD Intern - Design Optimization and Data Analytics in Princeton, New Jersey

PhD Intern - Design Optimization and Data Analytics

Locations:Princeton, New Jersey

Job Family: Research & Development

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Job Description

Division: Corporate Technology

Business Unit: Corporate Technology

Requisition Number: 201367

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 design, modeling and simulation technologies for real-world problems .

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.

Responsibilities

  • Develop prototypes for design exploration andoptimization using state-of-the-art methods,including data analytics.

  • Incubate innovative concepts and develop innovative concepts and their implementation and publication in journals or patents

  • Collaborate with colleagues to implement reusable, efficient and maintainablesoftware component using main stream programming languages.

Required Knowledge/Skills, Education, and Experience

  • Current student majoring in a PhD program in Computer Science, MechanicalEngineering, or related backgrounds.growing, dynamic team.

  • Previous graduate research or internship experience preferred.

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

  • Experience with at least one machine learning tool, such as Matlab, Scikit,Theano, etc.

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

  • Experience with machine learning and other data analytics techniques.

  • Solid theoretical knowledge of geometry representations in design.

  • Publications and research experiences in related fields.

  • Strong collaboration skills and ability to thrive in a fast-paced environment. Outstandinginterpersonal and communication (verbal & written) skills in English.

  • 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 withcontrolled technology in accordance with US Export Control Law. US ExportControl laws and applicable regulations govern the distribution ofstrategically important technology, services and information to foreignnationals and foreign countries. Siemens may require candidates underconsideration for employment opportunities to submit information regardingcitizenship status to allow the organization to comply with specific US ExportControl laws and regulations. Additional information on the US Export Controllaws & regulations can be found onhttp://www.bis.doc.gov/index.php/policy-guidance/deemed-exports/deemed-exports-faqs?view=category&id=33#subcat34

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 https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm .

Pay Transparency Non-Discrimination Provision

Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here at https://www.dol.gov/ofccp/pdf/PayTransparencyNotice_JRFQA508c.pdf .