Visuomotor Robotics Research Fellow

Nanyang Technological University; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

NTU SHARE@NTU Lab in Singapore invites applications for a Research Fellow to advance learning-based visuomotor manipulation policies for humanoid robots, with a strong emphasis on real-robot deployment.

You will lead research from problem formulation to validation in real environments, mentor junior researchers, coordinate with perception, controls and hardware teams, and contribute to publications and grant documentation.

Qualifications

• PhD in Robotics, CS, or EE.
• Strong publication record in robot learning or related areas.
• Experience deploying robot learning on real robots.
• Deep expertise in robot manipulation and visuomotor control.
• Strong command of behavior cloning, reinforcement learning, or related learning-based manipulation methods.
• Proficiency in Python and PyTorch.
• Proven ability to independently define research problems, design experiments, and drive projects to completion.
• Experience supervising or mentoring junior researchers or students.

Responsibilities

• Lead the research and development of learning-based visuomotor policies for humanoid robot manipulation, from problem formulation to real-world validation
• Define research directions and technical roadmaps for manipulation capabilities such as grasping, object reorientation, bimanual manipulation, and assembly
• Advance techniques including behavior cloning, reinforcement learning, and VLA-based reasoning, with a focus on novel contributions and publishable outcomes
• Develop principled approaches to robustness challenges such as sensor noise, partial observability, contact dynamics, and environment variability
• Oversee the research pipeline from data collection strategy and model training to evaluation methodology and deployment
• Manage project milestones, deliverables, and timelines; coordinate with collaborators and stakeholders, and report progress to the PI
• Supervise and mentor research associates, engineers, and PhD students working on the project
• Collaborate with perception, controls, systems, and hardware teams to guide integration of learned policies into the full autonomy stack
• Evaluate tradeoffs between learning-based and classical approaches and make principled architectural and design decisions
• Lead the preparation of publications, technical reports, and grant/project documentation

Skills

Robot learning

Reinforcement learning

Behavior cloning

Python

Education

PhD in Robotics

Tools

PyTorch

ROS

TensorFlow

Job description

NTU SHARE@NTU Lab in Singapore invites applications for a Research Fellow to advance learning-based visuomotor manipulation policies for humanoid robots, with a strong emphasis on real-robot deployment.

You will lead research from problem formulation to validation in real environments, mentor junior researchers, coordinate with perception, controls and hardware teams, and contribute to publications and grant documentation.