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Research Scientist Generative Design Deep Learning

Siemens Corporate Research


Location:
Princeton, New Jersey 08850
Date:
04/05/2017
Job Type:
Employee
Job Status:
Full Time
Shift:
1st Shift
Categories:
  • Computer Engineering
  • Research
  • Software Engineering
Siemens Corporate Research
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Job Details

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.

We are currently seeking a Research Scientist Generative Design – Deep Learning for our Princeton, NJ location. 

What are my responsibilities?

• Lead the research activities focused at applying combination of Deep Learning and Knowledge Representation pipelines to design, analysis and engineering workflows for real world problems. 
•Research, design, and implement algorithms that power knowledge inference and online recommendations, based on Deep Learning, to consume design and engineering data in real-time.
• Dive into huge, noisy, and complex real-world behavioral data to produce innovative analysis and new types of predictive models of engineering behaviors and manufacturing processes performance.
• Advance the state-of-the-art in the field, including generating patents and publications in top journals and conferences.
• Working with customers to understand algorithm requirements and deliver high-quality solutions.


Requirements

Qualifications:

• PhD required in Machine Learning or related field.
• 7+ plus years of related experience.
• Applied experience with anyone or more of Natural Language Processing and Deep Learning tools is a must. Skills in optimization, probabilistic reasoning, uncertainty quantification and design analysis are a plus.
• Hands-on coding skills and ability to quickly prototype in C++ is a must. Further experience in one or more of following: R, WEKA, Pandas, Octave, Matlab, Python, Java, JavaScript.
•Contribution to research communities and/or efforts, including publishing papers at conferences such at CVPR, ICCV, ACL, EMNLP, TACL, ICML or NIPS, etc.
• Outstanding written and verbal communication skills in English are required in combination with excellent analytical and interpersonal skills and can do attitude.
• 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.usa.siemens.com

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