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.