Summer Intern: An online machine learning system for industrial knowledge acquisition based on graph neural network
Business Unit: Corporate Technology
Requisition Number: 232198
Primary Location: United States-California-Berkeley
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.
Summer Internship: An online machine learning system for industrial knowledge acquisition based on graph neural network
You want to explore how AI can help boost productivity of our society? Curious about how AI can be applied to industrial domains? We have the right internship for you to learn the underpinning technologies for our society, and apply your AI skills in the real world use cases!
Join our research group located in Berkeley, CA, for a summer internship starting in May 2019. The Artificial & Human Intelligence research group offers a stimulating research environment and rewarding career opportunities in proximity to universities, research institutes and start-ups.
You will have the opportunity to test your knowledge of AI 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. Our close contact to different business units in Siemens provides the opportunity to contribute to and gain experience in real industrial applications. During this internship, you will experience the excitement and challenges of industrial research.
Domain knowhow (standards, conventions, engineering projects, data) often exhibits various structures, which can be represented in graph structure called knowledge graph. Graph is a challenging data structure for machine learning and its emerging researches are quickly leading to some exciting breakthroughs. In this internship work you are going to discover the hidden secrets from seemingly illegible industrial data. The final result will be a prototype online learning system driven by novel graph neural network algorithms.
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 its global network of experts, CT is a strategic partner to Siemens’ operative units. It provides important services along the entire value chain – from research and development to production and quality assurance, as well as optimized business processes. The support provided to the businesses in their research and development activities is ideally balanced with CT’s own future-oriented research. Siemens’ central research and development arm sees itself as a strategic partner to the company’s businesses. It plays a key role in achieving and maintaining leading competitive positions in the fields of electrification and automation while at the same time helping Siemens fully tap into the growth field of digitalization.
Our Berkeley 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.
- The main objective is to understand the challenging problem in industrial applications, to devise a novel system architecture to address the problem, and to build a prototype system to demonstrate the potential of this new solution.
- You will be able to apply/acquire expertise in machine learning and knowledge graph while pursuing solutions for this challenging problem. We believe the sweet spot is a combination of human and artificial intelligence, but we’re also willing to be convinced by your outstanding research results.
- You will mainly interact with the research team in Berkeley, but you also be able to will participate in group meetings, and present research results to the global R&D community in Siemens.
Are you ready to challenge yourself to build something tangible, to address real world problem and to draft top-notch patents and publications with our research team?
Required Knowledge/Skills, Education, and Experience
- A current student pursuing a PhD or Masters degree in Computer Science
- 2 years of experience in development of machine learning algorithms and demo systems.
- Excellent teamwork and communication (verbal & written) skills.
- Be comfortable to work in a growing, dynamic, interdisciplinary team
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