We are currently looking for a graduate intern to work within our Automation Runtime Systems Research Group in Princeton, New Jersey.
- Conduct research in the area of data-driven AI-based prognostics
- Develop research prototypes as appropriate
- Create technical reports
Qualified candidates will have:
- PhD students in Operations Research, Computer Science, Electrical Engineering, Mechanical Engineering, or related discipline
- Excellent interpersonal skills and a can-do attitude
- Demonstrated ability working with python or another programming language
- Capability for quick prototyping
- Proven knowledge of applying AI techniques to physics-based models
At Corporate Technology we 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..
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 https://www.bis.doc.gov/index.php/policy-guidance/deemed-exports/deemed-exports-faqs
Organization: Corporate Technology
Company: Siemens Corporation
Experience Level: Student (Not Yet Graduated)
Job Type: Full-Time temporary
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