Research Fellow – Humanoid Locomotion

About the role

We are seeking a research fellow to lead advancements in humanoid robots and embodied AI, contributing to NTU’s mission of transformative research in artificial intelligence and robotics.

Key responsibilities

• Design and implement Vision‑Language‑Action (VLA) models and world models.
• Develop and optimise deep‑learning algorithms for robotic arms to perform complex tasks guided by natural‑language instructions.
• Utilise PyTorch to train and fine‑tune models on multimodal datasets.
• Experiment with and deploy VLA models on robotic platforms.
• Collaborate with a multidisciplinary team and publish high‑quality research in top‑tier conferences and journals.

Required profile

• Ph.D. in Computer Science, Robotics, AI, 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 and multimodal AI models.
• Proficiency in Python programming.
• Experience with deep‑learning frameworks such as PyTorch.