ETH Zürich
Academia
Postdoctoral Researcher in Robot Learning
CHF 80'000 – 100'000 / year
ZÜRICH
FOUNDATION MODELPYTORCH
Description
The Mobile Robotics Lab at ETH Zürich pushes the limits of robot intelligence: how can we design robot policies with a better understanding of the world humans live in?
We are looking for a postdoctoral researcher in Robot Learning who is interested in questions such as:
- How can we fuse representations of the world with modern learning-based methods to allow for larger scale / longer horizon?
- How can we use Foundation Models, VLMs, VLAs, and robot learning for complex and long-horizon tasks that involve manipulation, locomotion, and navigation in potentially unstructured and large-scale environments?
We investigate these questions on a number of real-world robots such as the Unitree G1 humanoid, Stretch 3, and drones.
The Mobile Robotics Lab has various running research projects in the fields of
- Robot Learning
- Spatial AI
- Robot Perception
- Mobile Manipulation
- Navigation and Exploration
For details about the individual running projects, please refer to our homepage.
Job description
- Lead and shape an independent research agenda in mobile robotics, pioneering the use of modern learning-based methods such as but not limited to Foundation Models, VLMs, and VLA architectures for embodied intelligence
- Supervise and enable high-impact research on the lab’s humanoid platform (Unitree G1), pushing the boundaries of sim-to-real transfer and semantic reasoning
- Secure external funding (with strong institutional support) and build collaborations within the ETH ecosystem
- Co-supervise PhD and Master’s students, fostering a culture of technical excellence and ambitious experimentation
- Participate in teaching activities, including the development of new teaching materials in robotics, perception, and autonomous systems
Profile
- PhD in Robotics, Computer Science, or a related field with impactful publications in top-tier venues (CORL, ICRA, RSS, NeurIPS, CVPR, etc.)
- Expert knowledge in modern Robot Learning
- Well-versed in Python, C++ and modern tools such as IsaacLab, PyTorch, etc
- Visionary Drive: You are highly motivated, self-driven, and eager to lead a team toward a "bigger picture" mission. You don’t just want to publish; you want to solve robotics
- Excellent communication skills and a desire to mentor the next generation of researchers
Workplace
We offer
- Work on cutting edge research in collaboration with academic and industrial partners
- A collaborative, multidisciplinary team bridging research theory and robotics in the real world
- Modern lab facilities and flexible conditions within a leading-edge research environment
- We promote diversity through flexible working hours and the possibility of part-time arrangements