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.