Research Fellow (Humanoid Locomotion)
Core
Lead advancements in humanoid robots and embodied AI by developing Vision-Language-Action models for autonomous task execution and human-robot interaction.
Role type
Research Fellow (Embodied AI & Robotics)
Builds
Vision-Language-Action models and world models for robotic platforms (via careerplan.io/jobs/R00025922-1-research-fellow-humanoid-locomotion-at-ntu)
Domain
Robotics, Artificial Intelligence, Deep Learning
Deliverable
research
Required skills
Deep learning, Multimodal AI models, Vision-Language-Action models, Python programming, PyTorch, Robotic systems, Reinforcement learning
Preferred skills
Human-robot interaction, Embodied AI, Robotic manipulation technologies
Responsibilities
Design and implement VLA models and world models, Develop and optimize deep learning algorithms for robotic arms, Train and fine-tune models on multimodal datasets, Experiment with and deploy VLA models on robotic platforms, Publish high-quality research in top-tier conferences and journals
Seniority
Senior, hands-on IC
