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Robotics and AI Institute

Posted 33 months ago

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Research Scientist (Zurich Location)

ZurichOn-siteFull-time

AI Summary

Research Scientist advancing robotic systems through core research in RL/IL control, perception, planning/navigation, and LLM/VLM, and translating results to real-world robot prototypes.

About this role

Our Mission
Our mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives.

Research Scientists will have proven hands-on research experience with a focus on one or more of these key areas: Robot Control (Reinforcement Learning, Imitation Learning), Perception, Autonomy and Navigation, LLM/VLM, Hardware Design. If you have a passion for developing technology for robots and use it to advance their capabilities and usefulness, you will want to join us!

Responsibilities

  • Research focused on advancing robotic systems by developing exciting new ideas and providing solutions to complex problems
  • Collaborate on publications to be submitted at worldwide conferences
  • Apply your and others’ research to real-world problems and state-of-the-art robots
  • System Design using model-based and data-driven techniques
  • Creatively apply modern learning algorithms to robotics
  • Use your strong development skills to develop algorithms and improve systems
  • Working with fellow researchers and engineers to develop prototypes

    • Requirements

  • BS, MS or PhD in a robotics-relevant field
  • 3+ years of experience in research and development
  • Good grasp of a broad set of techniques related to RL/IL control, state and world estimation, perception, planning/navigation, LLM/VLM
  • Strong development skills with at least one programming language
  • Experience with systems that have complex physical interaction (locomotion & grasping)

    • Bonus

  • Proven track record of publications in top-tier conferences and journals in Machine Learning, Robotics, or related fields (e.g. CVPR, ICCV, ECCV, TPAMI, IJCV, NIPS, ICLR, ICML, IJRR, RSS, SciRo, CORL etc.)

    • Skills

    Data-driven TechniquesDevelopmentImitation LearningLLMModel-based DesignNavigationPerceptionPlanningReinforcement LearningState EstimationVLMWorld Estimation

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