Siemens Careers

Research Scientist – Autonomy in Collaborative Automation

Charlotte, North Carolina
Research & Development

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English (US)

Job Description

Division: Corporate Technology
Business Unit: Research in Digitalization and Automation
Requisition Number: 223871
Primary Location: United States-North Carolina-Charlotte
Assignment Category: Full-time regular
Experience Level: Mid level
Education Required Level: Master's Degree
Travel Required: 5%

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:

We are currently seeking a Research Scientist – Develop machine learning based models employing analytical computational models, methods and tools for predicting component level performance,  for systems engineering, algorithm development, automation guidance module and control, and system modeling and simulation for process automation engineering tools. The researcher will get rare-opportunity of first-hand experience and co-create the solution with our discrete production facility in Charlotte, CLTW location. 

Are you ready to push the boundary of machine learning to create new paradigm shifts for human-system collaboration in future of Automation?
 
What are my responsibilities?

We have an immediate opening in Charlotte, NC for a research scientist with a focus on applying knowledge in programming languages and system engineering to new areas in engineering, automation and robotics.
 
CT is seeking a member of its “Production Automation Engineering” Research Group of the vertical “Future of Automation” Technology Field in the industrial hub of Charlotte, North Carolina. In this research group, we shape the innovation roadmap towards the advanced process and production automation tools of the future; in collaboration with leading academic institutions and government agencies.
 
Our Charlotte facility is recognized for providing a stimulating industrial environment for highly talented and self-motivated researchers. You will have the opportunity to test your knowledge in a challenging real-world discrete manufacturing 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 record in industrial deployment of research solutions and patent submissions.
 
Responsibilities in detail:
  • Developing a multi-disciplinary line of research and translating research results into practical applications and prototypes
  • Scouting and evaluating new engineering software technologies that can be used in industrial environments and critical infrastructure
  • Defining and leading research projects, including technical supervision of software engineers and interns
  • Seeking support and advocacy from appropriate Siemens business units on potential use cases
  • Transferring research results to Siemens business units for product implementations
  • Advising management and business units on disruptive technologies related to Engineering
  • Developing successful research proposals for external funding that align with Siemens’ strategic direction in collaboration with leading academic institutions and government agencies
  • Generating high-quality invention disclosures and patent applications
  • Building up a network of collaboration partners in Siemens business units and in US universities


What skills are needed to qualify for this position?


  • PhD required in Information Technology, Mathematics, Applied Statistics, Computer Science, Electrical Engineering or Mechanical Engineering with minimum 2+ years of related professional or industrial internship experience.
  • Prior experience in one or more of the following: automation, optimization, embedded systems, robotics, AI, machine learning.
  • Experience designing and implementing software for production systems or robotics 
  • Experience with ROS and one or more machine learning tools (Caffe, Tensor Flow, Theano)
  • Experience solving a real-world problem in a professional environment with software you wrote yourself
  • Experience in creating a new programming language (object oriented programming experience will be preferred) and compiling it into executable code
  • Outstanding written and verbal communication skills in English
  • Collaborates well in an international and multi-cultural team environment
  • Will substantially contribute to several projects at the same time
 
• • 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

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