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NTU

Research Fellow (Humanoid Locomotion)

NTU Main Campus, Singapore

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hirly's read of this role

Seniority
Mid level
Country
SG
Work mode
On-site / unstated
First seen by hirly
2 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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.

Hiring Institution: NTU

Original posting on NTU's site ↗

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