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Sensor Calibration & Integration Intern

RAI Institute· Engineering
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Hybrid (Zurich)Intern/Co-opPosted 1mo ago

About the role

Internship for Master or PhD students to develop a seamless calibration suite for multi-modal sensor systems (RGB cameras, LiDARs, IMUs) to enable high-quality robotics research through precise sensor integration.

Responsibilities

  • Play a key role in developing a seamless, user-friendly calibration suite for our multi-modal sensor systems, including RGB cameras, LiDARs, and IMUs.
  • Work collaboratively with researchers focused on providing a solid foundation for building advanced robotic systems.
  • Provide solutions to complex problems targeting robots deployed in the real world.
  • Design complex systems and make them easy to use.
  • Apply classical optimization as well as learning algorithms to practical robotics problems.

Qualifications

  • Master or PhD student in robotics, computer vision, or a related field.
  • Proficiency in C++ and Python is a must.
  • Solid understanding of state estimation and optimization techniques.
  • Familiarity with factor graph optimization, ideally including experience with GTSAM.
  • Interest in building robust tools that support robotics research.

Skills

Required:C++PythonState estimationOptimization techniques
Nice to have:Factor graph optimization
Last updated Sep 2, 2026. Interested? Apply on the company site.

About RAI Institute

We're creating future generations of robots.

Welcome. At the Robotics and AI Institute (RAI Institute), our mission is to solve the most important and fundamental challenges in robotics and AI.

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