Senior Research in AI and Manufacturing - Summer 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. We do this through empowering customers by combining the real and digital worlds, thereby 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!

Company Overview

Siemens Foundational Technology (FT), the central R&D department of Siemens, plays a pivotal role in shaping the future of our products. Acting as a strategic partner, FT supports Siemens' executive units with a primary research focus on future technologies for industry, infrastructure, mobility, and healthcare.

The Senior Research Intern in AI and Manufacturing will be instrumental in advancing our AI-driven manufacturing research. This position is crucial for developing innovative solutions that enhance manufacturing planning, improve efficiency, and reduce costs. You will collaborate with the research team at Siemens Foundational Technology.

In this role you will work remotely from a home office. The position is a full-time position for at least 3 months.

Key Responsibilities:

• Conduct research and development in AI and machine learning applications for manufacturing.
• Collaborate with senior researchers to design and implement AI models and algorithms.
• Create and analyze large design and manufacturing datasets to identify patterns and insights that drive process planning improvements.
• Develop and test prototypes to validate AI solutions in real-world manufacturing.
• Document research findings and present results.

Education and Experience:

• Required:
  • Currently pursuing a Ph.D. in Computer Science, Mechanical/Manufacturing Engineering, or a related field.
  • Strong background in Manufacturing, AI, machine learning, and data analysis.
  • Experience with programming languages such as C++, Python, or MATLAB.

Basic Qualifications:

• Proficiency in Manufacturing Planning, AI and machine learning techniques.
• Excellent programming skills in Python, R, or MATLAB.
• Experience with Geometry Representations and CAD API programming, including C++ and Parasolid.
• Proficiency in English both written and verbal
• Legally authorized to work in the United States for the duration of the internship

Preferred Skills:

• Previous experience in manufacturing or industrial settings.
• Publications or research projects related to AI in manufacturing.
• Familiar with manufacturing processes and industrial automation.
• Strong analytical and problem-solving skills.
• Ability to work independently and as part of a team.
• Strong communication skills, both written and verbal
• Experience with various Neural Network encodings such as Graph Neural Networks.
• Experience with geometric representations, B-Rep, Voxels, CSG, Implicit, Design by Code, etc.
• Knowledge of advanced statistical methods and data visualization techniques.
• Strong organizational and project management skills.

About Siemens:

We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient 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.

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