Research Intern – Machine learning and digital twins

ETH Zurich’s Control and Automation group seeks a full-time Research Intern to develop machine learning algorithms for digital twins in industrial robotics, based in Zürich.

This internship, hosted within the Control and Automation group at inspire AG, aims to enhance the efficiency and safety of real-world robotic systems. The position focuses on creating advanced AI solutions for digital twin applications, including process monitoring, optimization, and control policy development, while fostering collaboration with industrial partners.

Responsibilities

• Create specialized digital twin models for industrial use cases by applying machine learning techniques to real-world data.
• Build and upkeep the software codebase to enable various training modules and supporting libraries.
• Partner with industrial collaborators to gather large-scale datasets from physical hardware.
• Implement and deploy control policies for industrial applications.

Requirements

• Currently enrolled in a master’s program in robotics, electrical engineering, mechanical engineering, or computer science.
• Hands-on experience with time series modeling, seq2seq architectures, and data-driven digital twin approaches such as Transformers, Mamba, or LSTMs in industrial contexts.
• Strong programming proficiency in Python and ROS, along with experience in ML pipelines, simulators, and training libraries.
• Solid understanding of linear algebra, numerical methods, optimization, and control theory.
• Fluent written and spoken English skills are mandatory.

Nice to have

• Background or coursework in estimation theory, network modeling, and graph theory.
• Basic proficiency in the German language is an advantage.

What the company offers

• Opportunity to work within a dynamic, young team at the cutting edge of industrial AI and machine learning.

About the company

The research group operates with a strong emphasis on self-organization, structure, and solution-oriented problem solving. Team members are expected to demonstrate high motivation, a willingness to acquire new skills, and a collaborative, creative attitude.

• Emphasis on self-organized and structured workflows.
• Focus on solution-oriented approaches to challenges.
• Valuing high motivation and eagerness to learn.
• Promoting teamwork, positive attitudes, and creativity.