Industrial Generative AI or Physical AI – Research Internship

Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That’s why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you?

Transform the everyday with us!

In this role you may work remotely from a home office or onsite at our Industrial AI Lab in Princeton, NJ

We are an AI research Lab specializing in Physics x AI research. Our mission is to scale the capabilities of AI in the physical domain, encoding diverse scientific and engineering knowledge into neural networks to tackle complex, high-impact industrial and scientific problems. As an integral part of Siemens’ Data Analytics & AI organization, we drive physical AI innovation for an industrial scale.

This intern will:

• Conduct applied research on Industrial Generative AI or Physical AI with a focus on one or more of the following topic areas:
• Time-series foundation models
• Transformer-based models for sequential decision-making optimization
• Agentic AI, with focus on AI memory and learning agents
• Advance physics-informed machine learning by designing transformer-based architectures for encoding complex geometries and topologies
• AI-native chip design
• 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 ideally publish a scientific paper detailing the outcomes of your research with our team

Basic Qualifications:

• Currently pursuing a research-focused MS or a PhD degree in Electrical Engineering, Computer Science, Mathematics, Physics, or other from an accredited university
• Demonstrated Experience publishing and writing scientific papers (e.g. NeurIPS, ICML, IEEE, AAAI, L4DC)
• Demonstrated ability to work with Python and PyTorch.
• Proficient in English both written and verbal
• Excellent communication skills, eager to learn and be part of a diverse team

Preferred Qualifications

• Previous experience in one or more of the following is desirable:
  • Design, training and evaluation of foundation models and/or transformer-based ML models
  • RL-based post-training of foundation models
  • RL-based or metaheuristic-based sequential decision-making optimization
  • Data analytics application to power systems use cases
  • Physics-informed neural networks, Graph Neural Networks or Geometric Deep Learning
  • Designing, implementing and evaluating large-scale Agentic AI systems
  • Methods for uncertainty quantification in neural networks
• Preferably graduating within the next 12 months and considering a career in industrial R&D

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

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.

About Siemens:

We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resourceefficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers. Learn more about Siemens here.

Our Commitment to Equity and Inclusion in our Diverse Global Workforce:

We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.

#LI-JS

#LI-Remote