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Research Scientist – Generative Design and Manufacturing
PRINCETON NJ 08542
Category: Computing, Manufacturing, Health Care Industry , Transportation
  • Your pay will be discussed at your interview
  • Job Family: Research & Development

Job code: lhw-e0-90668268

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Siemens

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  Job posted:   Thu Jun 7, 2018
  Distance to work:   ? miles
       
  2 Views, 0 Applications  
 
Research Scientist – Generative Design and Manufacturing


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**Research Scientist - Generative Design and Manufacturing**
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Job Description**


**Division:** Corporate Technology

**Business Unit:** Corporate Technology

**Requisition Number:** 223587

**Primary Location:** United States-New Jersey-Princeton

**Assignment Category:** Full-time regular

**Experience Level:** Entry level

**Education Required Level:** Doctorate Degree

**Travel Required:** 20%


**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 withour global network of experts,we are a strategic partner to Siemens' operative unitsand 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 withour own future-oriented research.


We at Corporate Technology are more than employees:Weare 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 researchtogether with the best.


**Job Description:**


We are currently seeking a **Research Scientist - Generative Design and Manufacturing** for our Princeton, NJ location. The successful candidate will work with the **Product Modeling and Simulation Research Group (PSM RG)** to develop solutions to the real-world problems. 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?**


o Lead the research activities focused at applying modern AI techniques to real world problems in 3D geometric design and manufacturing.

oResearch, design, and implement algorithms and techniques for 3D geometric reasoning in generative design and computer-aided manufacturing.


oResearch, design, and implement algorithms and techniques that power manufacturing planning for CNC, Additive, Robotic, and other manufacturing methods.


oDevelop and apply simulation techniques for manufacturing applications.


o Advance the state-of-the-art in the field, including generating patents and publications in top journals and conferences.

o Working with customers to understand algorithm requirements and deliver high-quality solutions.


**Qualifications:**


o PhD required in Computer Science, Mechanical Engineering or related discipline.

o 7+ plus years of related experience.

o Expertise in geometry processing is a must.


o Applied experience in AI, Deep Learning tools is required. Skills in optimization, probabilistic reasoning, and uncertainty quantification are a plus.


o Familiarity with manufacturing processes and impact on variance from as-design models is preferred.


o Familiarity with commercial 3D design, simulation and manufacturing packages e.g., NX, CATIA, Creo, Autodesk Inventor is required.


o 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.


o Skills in simulation methods for physics, kinematics, and/or discrete events are a plus.


oContribution to research communities and/or efforts, including publishing papers at conferences such at SPM, SIGGRAPH, CVPR, ICML, NIPS, etc. is required.

o Outstanding written and verbal communication skills in English are required in combination with excellent analytical and interpersonal skills and can do attitude.

o 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 -guidance/deemed-exports/deemed-exports-faqs?view=category&id=33#subcat34


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**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 .


**Pay Transparency Non-Discrimination Provision**

Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here at -transp_formattedESQA508c.pdf .

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