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Robotics and Artificial Intelligence● OpenOpen until filledPreview

Doctoral Researcher in Humanoid Robotics, 3D Perception and Embodied AI

Join ETH Zurich to pioneer humanoid robotics and 3D perception for autonomous manufacturing.

Best for:Best for master's graduates in robotics, computer vision, or machine learning with strong Python and PyTorch skills.

ETH Zürich · Zurich, Switzerland · R1 · First-stage researcher
More professors at ETH Zürich
Humanoid Robotics3D PerceptionEmbodied AIRobot LearningAutonomous Manufacturing
Deadline
Until filled
rolling
Funding
—
Start date
flexible
Full-time
Location
Zurich
Switzerland

Overview

The Advanced Manufacturing Lab at ETH Zurich invites applications for a doctoral researcher to advance humanoid robotics, 3D perception, and embodied artificial intelligence. Working in an interdisciplinary team, the candidate will integrate novel RGB-D sensing technologies with advanced perception algorithms and simulation environments. The role involves developing simulation pipelines, semantic perception methods, and sim-to-real transfer techniques for autonomous manufacturing applications. Successful applicants will conduct rigorous scientific research, validate algorithms on physical robotic platforms, and publish findings in leading international venues.

Humanoid Robotics3D PerceptionEmbodied AIRGB-D SensingSim-to-Real TransferRobotic ManipulationMachine Learning

What you'll do

  • Conduct independent scientific research in humanoid robotics, 3D perception, and learning-based robotic systems.
  • Develop and evaluate novel algorithms for RGB-D-based object detection, semantic segmentation, and 3D scene understanding.
  • Design and implement realistic robotic simulation environments and synthetic data generation pipelines.
  • Investigate methods to improve the transfer of perception and manipulation capabilities from simulation to physical robotic systems.
  • Integrate perception algorithms with robotic manipulation, motion planning, and control frameworks.
  • Implement, test, and validate developed methods on physical robotic and humanoid platforms.
  • Publish research outcomes in premier international robotics and computer vision conferences and journals.
  • Collaborate with academic researchers and industrial partners while contributing to student supervision.

Requirements

Degree required: Master's degree in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, Artificial Intelligence, or a closely related field

Degree offered: PhD

Language: Fluent English, both written and spoken

Instruction: English

Required skills
  • Strong foundation in robotics, computer vision, machine learning, or related computational methods
  • Excellent programming skills in Python and preferably C++
  • Experience with machine learning frameworks such as PyTorch
  • Solid understanding of robotics fundamentals including kinematics, motion planning, or robotic manipulation
  • Practical experience in at least one relevant area like 3D computer vision or robot learning
  • Familiarity with Linux-based development environments, Git, and collaborative software development
Nice to have
Experience with RGB-D cameras, depth sensing, point clouds, or 3D reconstructionFamiliarity with robotics frameworks such as ROS or ROS 2Experience with simulation platforms like NVIDIA Isaac Sim, MuJoCo, or GazeboKnowledge of reinforcement learning, imitation learning, or vision-language modelsPrevious research experience demonstrated through a Master's thesis or publications

Funding & terms

Type
Unknown
Amount
—
Duration
—
Programme
ETH Zurich
ETH Zurich

How to apply

Candidates must submit their applications exclusively through the online application portal. Emailed or postal applications will not be reviewed. Ensure all required academic and personal documents are compiled and uploaded together.

Documents required
  • CV
  • Motivation letter
  • Academic transcripts
  • Degree certificates
  • Master's thesis
↗Apply on site

Contact

MB
Prof.
Markus Bambach
Advanced Manufacturing Lab
Lab
Advanced Manufacturing Lab
ETH Zürich
Switzerland
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