PhD Researcher: Humanoid Robotics & 3D Perception

ETH Zurich; Zürich; On-site; CHF 58,000 - 72,000; Full time

Job summary

ETH Zurich invites applications for a Doctoral Researcher to advance humanoid robotics, 3D perception, and embodied AI for autonomous manufacturing. The role is embedded in an interdisciplinary project on perception, simulation-to-real transfer, and autonomous manipulation using RGB-D sensing technologies.

The successful candidate will work with a diverse team, develop learning-based robotic systems, and contribute to a fully integrated autonomous humanoid manufacturing demonstrator at ETH

Qualifications

• Master's degree in Robotics, Computer Science, Mechanical or Electrical Engineering, AI, or related field.
• Fluent English, strong programming skills and scientific curiosity.
• Experience with robotics, computer vision, ML or related computational methods.

Responsibilities

• Conduct independent scientific research in humanoid robotics, 3D perception, and learning-based robotic systems.
• Develop and evaluate RGB-D-based perception algorithms for object detection, segmentation, and scene understanding.
• Design realistic robotic simulation environments and synthetic data pipelines for manufacturing applications.
• Plan and conduct experiments, establish benchmarks, and publish findings in conferences/journals.
• Collaborate with researchers and industrial partners and supervise student projects.

Skills

Robotics

Computer vision

Machine learning

Python

C++

Linux

Research experimentation

English communication

Education

Master's degree in Robotics/CS/Engineering

Tools

ROS/ROS 2

NVIDIA Isaac Gym/Sim

MuJoCo

Gazebo

Job description

ETH Zurich invites applications for a Doctoral Researcher to advance humanoid robotics, 3D perception, and embodied AI for autonomous manufacturing. The role is embedded in an interdisciplinary project on perception, simulation-to-real transfer, and autonomous manipulation using RGB-D sensing technologies.

The successful candidate will work with a diverse team, develop learning-based robotic systems, and contribute to a fully integrated autonomous humanoid manufacturing demonstrator at ETH