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Salary
Not stated by the company
Where
NTU Main Campus, Singapore
When
You will design, train, evaluate and deploy learning-based visuomotor policies for humanoid robot manipulation. You will develop behaviours such as grasping, pick-and-place, object reorientation, door opening, bimanual manipulation and basic assembly. You will apply techniques including behaviour cloning, reinforcement learning and VLA reasoning, and train models that stay robust to sensor noise, partial observability, contact dynamics and environment variability. You will own the full pipeline from data collection on real robots through model training, evaluation and deployment, and work with perception, controls, systems and hardware teams to integrate policies into a full autonomy stack. You will also write well-tested software that runs reliably on physical humanoid robots.
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Open applicationNTU Singapore