Lead Humanoid AI Research Fellow

Nanyang Technological University; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

NTU in Singapore seeks a research fellow to lead advancements in humanoid robots and embodied AI. You will develop Vision-Language-Action models enabling seamless human-robot interaction and autonomous task execution, contributing to NTU’s leadership in robotics and AI.

The role emphasizes designing and evaluating multimodal models, collaborating with a multidisciplinary team, and publishing results in top conferences and journals. Experience with deep learning, Python, and PyTorch is essential.

Qualifications

• Ph.D. in Computer Science, Robotics, AI, ML, or closely related discipline.
• Demonstrated research experience in AI, robotics, ML, 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 with robotic systems, automation platforms, or robotic manipulation technologies is advantageous.

Responsibilities

• Design and implement Vision-Language-Action models and world models.
• Develop and optimize deep learning algorithms to enable robotic arms to 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 and publish high-quality research.

Skills

Python

PyTorch

Multimodal AI

Vision-Language-Action

Robotics

Research skills

Education

Ph.D. in Computer Science/Robotics/AI/ML

Tools

PyTorch

Robotics systems

Job description

NTU in Singapore seeks a research fellow to lead advancements in humanoid robots and embodied AI. You will develop Vision-Language-Action models enabling seamless human-robot interaction and autonomous task execution, contributing to NTU’s leadership in robotics and AI.

The role emphasizes designing and evaluating multimodal models, collaborating with a multidisciplinary team, and publishing results in top conferences and journals. Experience with deep learning, Python, and PyTorch is essential.