We are looking for a talented intern to join our Design and Representation Systems (DRS-US) Research Group of the “Simulation and Digital Twin” Technology Field, for a Summer internship!
We need your help to conduct fundamental and applied research in the field of AI-driven automated assurance for hardware and software products. You will be collaborating with leading academic institutions and government agencies as part of this role. Our goal is to model how certifiers understand and solve the most complex certification challenges by leveraging AI techniques to mimic human reasoning capabilities!
During this internship, the candidate will experience the excitement and challenges of industrial research and be part of a world class team. This person will:
- Contribute to the task of multi-modal reasoning on knowledge graphs.
- Work on fast-paced co-creation project with quickly changing requirements in the area of neural reasoning on knowledge graphs.
- Work on government funded projects.
- Develop prototypes and proof of concepts as appropriate
- Develop demonstrators and participate in technology transition to business
- Create technical reports
- Create academic publications.
Qualified candidates will have:
- PhD or Masters candidate in Computer Science, Electrical Engineering, Mechanical Engineering, or related discipline.
- Research specialization in machine learning focusing on knowledge reasoning.
- Familiarity with multi-model knowledge reasoning.
- Capable of constructing and operating with large scale knowledge graphs.
- Familiar with constructing logic formulations and learning causal relationships.
- Proficiency in python and pytorch
We want to provide our customers with Innovative Design solutions and propose intelligent representations for faster and smarter design, engineering and manufacturing systems. Our team is to become the perfect companions for engineers in need to accelerate by 1000x their workflows. Our mission is to free engineers from the burden of repetitive and non-creative tasks and allow them to truly explore the immensity of their design spaces, efficiently and with confidence in the results. We want to be “Your cognitive twin”, enabling machines to reason and make decisions autonomously.
Our research team is located in beautiful Princeton, NJ, a university town packed with exceptional international talent that provides a unique feel of this true cultural gem in the state. The town has plenty of activities to offer, but for those looking for more, at just about 1h drive we have NYC or Philadelphia. We have the best public schools in the country and all of the above glued together by a very active and welcoming community.
As Siemens’ central Research & Development department, we embrace this community. Our core mission is to support our Siemens business units as a central knowledge hub for all cybersecurity capabilities globally. We research and develop new and innovative solutions, based on much needed deep technical expertise, and our network with internal and external experts and academia. This allows us to invent new solutions and approaches and verify their feasibility in the “real world” together with the product development teams of our business units – creating a stimulating setup for quick innovation cycles and rapid prototyping.
At Siemens 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: 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
Company: Siemens Corporation
Experience Level: Student (Not Yet Graduated)
Job Type: Full-Time temporary
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