|Published||November 1, 2022|
Research Internship, Industrial Artificial Intelligence (AI) We are looking for graduate interns to join our “Physics Informed Artificial Intelligence” (PAI) research group in Princeton, NJ or remotely! PAI is part of Siemens’ central in-house research department - a strategic R&D partner for Siemens’ businesses. At PAI we work on understanding how prior knowledge can be brought into AI methods to facilitate robust solutions to the industrial challenges of our Siemens’ businesses, such as Predictive Maintenance, Planning and Control, Sustainable Design and many more. The Challenge This intern will: Conduct applied research in industrial artificial intelligence, with a focus on one of the following topic areas: Physics-Informed AI-based differential simulation surrogates for fluid and rigid body dynamics modeling and control in industrial metaverse applications Symplectic integration schemes with applications in Machine Learning (ML) Simulation techniques, such as closure model ML-assisted fast simulation for analog and mixed signal circuit simulations Data-centric AI/ weak supervision application to multivariate time series big data Graph machine learning, graph mining Industrial Knowledge Graphs and Semantic Modelling Design, develop and implement (research) prototypes and demonstrators under the guidance of your supervisor Contribute to our team’s R&D projects Create technical reports, presentations and/or scientific papers The Candidate Qualified candidates will have/be: Currently pursuing your MS or PhD in Computer Science, Symbolic Systems, Mathematics, Physics, Engineering, or a related discipline Preferably graduating within the next 12 months and are considering a career in industrial research Demonstrated ability to work with Python or another programming language and have experience with two or more: Deep Learning libraries such as TensorFlow, PyTorch or Julia Physics-Aware AI frameworks such as Modulus Nvidia’s Warp, Omniverse Graph databases, Semantic Web Technologies such as RDFS/OWL and SPARQL Graph Analytics, Graph Machine Learning frameworks Excellent communication skills, eager to learn and be part of diverse 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 www.bis.doc.gov/index.php/policy-guidance/deemed-exports/deemed-exports-faqs?view=category&id=33#subcat34 About Us Siemens Technology employees are passionate about applied research. We create technology with purpose that benefits society - more agile and productive factories, more intelligent and efficient buildings and grids, more reliable and sustainable transportation. Our work powers Siemens products and is regularly featured in patents and publications. We operate in a global ecosystem focused on innovation, partnering with our customers, businesses, government agencies, and leading academic institutions on highly visible projects where collaboration is key. Our people continuously develop their talents, are curious, and are not afraid to take risks in pursuit of technological innovation. A strong learning culture empowers employees at Siemens Technology to own their growth and development. We know that diversity fuels innovation and drives business success. We are committed to creating an inclusive environment, where diversity of thought, culture, and experience is seen as our greatest strength. This is what brings our best ideas to life. We take pride in bringing our best selves to work every day, prioritizing individual health, work-life blend, and flexibility. At Siemens Technology, the success of our employees drives our success. What else do I need to know? For more information please refer to our website at www.siemens.com #LI-JS Organization: Technology Company: Siemens Corporation Experience Level: Student (Not Yet Graduated) Full / Part time: Full-time 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 unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. 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