Publisher
source

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 flag

Country

United States

University

Stanford University

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Machine Learning
Mechanical Engineering
Electrical Engineering
Mathematics
Computer Vision
Reinforcement Learning
Computer Graphics
Robotics
Flow Modeling

Suggested positions

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.

More information can be found here

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?

Professors