Siemens Careers

Graduate Intern - Automatic Planning and Scheduling for Autonomous Systems

Princeton, New Jersey
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English (US)

Job Description

Division: Corporate Technology
Business Unit: Corporate Technology
Requisition Number: 235666
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:

Posting title:

Summer Intern: Automatic Planning and Scheduling for Autonomous Systems 


Description:

Are you interested in driving the revolution from automated to autonomous systems in real industrial applications?

 

Here’s the right internship opportunity for You!

 

Join our research group Autonomous Systems and Control located in Princeton, NJ, for a summer internship starting in May, and investigate new planning and scheduling building blocks for autonomous systems in diverse application areas such as advanced manufacturing in smart factories, intelligent transportation systems, and robotics. Our close contact to different business units in Siemens provides the opportunity to contribute to 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. Have a look at our recent Picture of the Future dossiers on Autonomous Systems to get an overview of Siemens’ recent developments in this area.

 

Siemens Background

 

For 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.

 

 

·         You will contribute to industrial research projects on planning and scheduling for autonomous systems with applications in manufacturing and/or robotic swarms

·         You will collaborate and exchange ideas with experts in the fields of planning and scheduling

·         You will implement concepts and solutions in prototype

 

What skills are needed to qualify for this internship?


  • Current Student enrolled in a degree program                                                                          
  • Experience in advanced algorithm prototyping
  • Good programming knowledge, e.g. in MATLAB and C++
  • Practical experience in research on planning and scheduling
  • Domain knowledge in manufacturing or robotic swarms preferred
  •  Ability to work independently and apply creative thinking strategies for problem solving
  • Excellent team working and communication (verbal & written) skills in English
  • Flexibility and adaptability to work in a growing, dynamic, interdisciplinary team of experts.
URCT

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.


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 http://www.bis.doc.gov/index.php/policy-guidance/deemed-exports/deemed-exports-faqs?view=category&id=33

 



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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.

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