Research Fellow (Humanoid Locomotion)

We are seeking to hire a research fellow to lead advancements in humanoid robots and embodied AI. This role will contribute to NTU's mission of driving transformative research in artificial intelligence and robotics by developing Vision-Language-Action models that enable seamless human-robot interaction and autonomous task execution. The successful candidate will play a pivotal role in enhancing NTU's global reputation for excellence in robotics and AI.

Key Responsibilities

• Design and implement VLA models and world models.
• Develop and optimize deep learning algorithms to enable robotic arms to perform complex tasks guided by natural language instructions.
• Utilize 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 the field of embodied intelligence.
• Publish high-quality research in top-tier conferences and journals.

Job Requirements

• 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.
• Strong knowledge of deep learning, multimodal AI models, Vision-Language-Action models, or related technologies.
• Proficiency in Python programming and experience with deep learning frameworks such as PyTorch.
• Experience working with robotic systems, automation platforms, or robotic manipulation technologies is advantageous.
• Familiarity with reinforcement learning, human-robot interaction, or embodied AI is an advantage.
• Ability to work both independently and collaboratively in a multidisciplinary research environment.

We regret to inform that only shortlisted candidates will be notified.