Graduate Intern - Advanced Geometric Modeling

  • Siemens
  • Princeton, New Jersey, United States
  • Mar 28, 2018
Internship Computer Science Engineering Mathematics Technology

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 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 CT Automation and Control Technical Field (AUC TF) is seeking a highly motivated PhD student available for 3 to 6 month internship in the area of advanced geometry processing and solid modeling. The project will involve analysis of state-of-art in academia and industry, and design of novel practical techniques to address challenging problems in geometry processing and solid modeling. The project will include development of software prototypes to demonstrate novel techniques, and documentation of results through high quality technical reports suitable for publications and patent applications. 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

  • Contribute to research projects that develop geometry processing algorithms and solid modeling techniques.

  • Apply developed techniques to real-world problems.

  • Fast prototyping, feasibility studies, specification and implementation of geometry processing and solid modeling techniques.

  • Help advance the state-of-the-art in the field, including generating patents and publications in top journals and conferences.

Required Knowledge/Skills, Education, and Experience

  • Current PhD student in Computer Science, Mechanical Engineering, or related discipline for research.

  • Show passion for technologies with a can-do attitude. Outstanding collaboration, interpersonal and communication (verbal & written) skills in English is required.

  • Experience with parallel programming on GPU preferred.

  • Solid theoretical knowledge of geometry representations and solid modeling techniques in design.

  • Familiarity with CAD software systems (NX) and modeling kernels (Parasolid).

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

  • Drive and motivation for career development and open to taking on challenges.
  • Previous graduate research or internship experience preferred.
  • 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 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. 

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.