Siemens Intern - Artificial Intelligence for Industrial Decision Support in Princeton, New Jersey
Intern - Artificial Intelligence for Industrial Decision Support
Locations:Princeton, New Jersey
Job Family: Internal Services
Division: Corporate Technology
Business Unit: Corporate Technology
Requisition Number: 223457
Primary Location: United States-New Jersey-Princeton
Assignment Category: Full-time temporary
Experience Level: Entry level
Education Required Level: Master's Degree
Travel Required: No
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.
Siemens Corporate Technology is one of the world’s premier research labs, consisting of more than 1800 talented scientists located in North America, Europe, and Asia. Driven by a strong culture of innovation, we have a record of developing cutting edge technologies and excel in translating academic research into advanced Siemens products.
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.
What are my responsibilities?
• Conduct research in the area of predictive and prescriptive analytics
• Develop research prototypes as appropriate
• Create technical reports
What skills do I need to qualify for this internship?
PhD students in Operations Research, Computer Science, Electrical Engineering, or related discipline for research.
Experience with Deep Learning Platforms
Excellent interpersonal skills and a can-do attitude
Strong collaboration skills and ability to thrive in a fast-paced environment
Flexibility and adaptability to work in a growing, dynamic team
Capability for quick prototyping
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#subcat34
What else do I need to know?
For more information please refer to our website at www.siemens.com at http://www.siemens.com/
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/pay-transp_formattedESQA508c.pdf .