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Full Time Research Fellow (Humanoid Locomotion) Jobs, Salary up to SGD 6,000 in NANYANG TECHNOLOGICAL UNIVERSITY West Region (Singapore) - Maukerja

Research Fellow (Humanoid Locomotion)

NANYANG TECHNOLOGICAL UNIVERSITY

West Region (Singapore)

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Working Location

  • 50 NANYANG AVENUE West Region (Singapore) Singapore

Job Description

Responsibilities

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.

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