Karen Liu
Top university
1 month ago
Postdoctoral Researchers in Humanoid Robotics and Dexterous Manipulation at Stanford Movement Lab Stanford University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral research positions at Stanford Movement Lab; funding details, stipend, and duration are not specified in the post.
Country
United States
University
Stanford University

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About this position
Stanford Movement Lab is hiring postdoctoral researchers to work on cutting-edge problems in humanoid robotics and dexterous manipulation.
The lab is especially interested in candidates with strong expertise in robot learning, including vision-language-action models, reinforcement learning, diffusion and flow-based models, physics-based simulation, and learning for whole-body control and manipulation.
Ideal applicants should have deep technical knowledge of modern robot learning methods and a strong record of developing new algorithms and turning them into working systems. Experience with robot hardware, large-scale data collection, teleoperation, or real-world deployment is a significant plus.
Postdocs will have the opportunity to lead ambitious research projects and collaborate with students and faculty across Stanford, contributing to new research directions at the intersection of robotics, machine learning, computer vision, and computer graphics.
To apply, email [email protected] with your CV and links to representative publications or projects.
Funding details
Postdoctoral research positions at Stanford Movement Lab; funding details, stipend, and duration are not specified in the post.
What's required
Candidates should have strong theoretical and practical expertise in robot learning, especially vision-language-action models, reinforcement learning, diffusion and flow-based models, physics-based simulation, and learning for whole-body control and manipulation. A strong record of developing new algorithms and turning them into working systems is expected. Experience with robot hardware, large-scale data collection, teleoperation, or real-world deployment is a significant plus.
How to apply
Email Karen Liu with your CV and links to representative publications or projects. Include evidence of relevant robot learning and robotics experience.
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