Research Fellow (Humanoid Locomotion)

About the role

NTU is hiring a research fellow to lead advancements in humanoid robots and embodied AI. The role contributes to NTU's mission of advancing research in artificial intelligence and robotics through Vision-Language-Action models that enable human-robot interaction and autonomous task execution.

Key responsibilities

• Design and implement VLA models and world models.
• Develop and optimise deep learning algorithms so robotic arms can perform complex tasks guided by natural language instructions.
• Use PyTorch to train and fine-tune models on multimodal datasets.
• Experiment with and deploy vision-language-action models on robotic platforms.
• Collaborate with a multidisciplinary team to advance embodied intelligence.
• Publish high-quality research in top-tier conferences and journals.

Required profile

• Ph.D. in Computer Science, Robotics, Artificial Intelligence, Machine Learning or a closely related discipline.
• Demonstrated research experience in AI, robotics, machine learning, computer vision or related fields.
• Ability to work independently and collaboratively in a multidisciplinary research environment.

Required skills

• Strong knowledge of deep learning, multimodal AI models and VLA models.
• Proficiency in Python and experience with deep learning frameworks such as PyTorch.
• Experience with robotic systems, automation platforms or robotic manipulation is advantageous.
• Familiarity with reinforcement learning, human-robot interaction or embodied AI is an advantage.