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Research Engineer II – Generative 3D/4D AI

ntu · NTU Main Campus

🇬🇧 English
Python PyTorch ROS Isaac Gym

Job description

About the role

We are seeking a Research Engineer II to join the NRFI project “A New Intrinsic‑Aware Visual Generation Paradigm” at Nanyang Technological University’s College of Computing and Data Science. The role focuses on developing learning‑based systems for generative 3D/4D scene modelling, world models, and embodied intelligence.

Key responsibilities

  • Design and implement machine‑learning methods for generative 3D/4D scene representations, world models, and embodied AI.
  • Build scalable data, training, and evaluation pipelines using PyTorch and related scientific‑computing tools.
  • Design and conduct experiments addressing geometric consistency, temporal dynamics, physical plausibility, and downstream embodied tasks.
  • Integrate and evaluate research prototypes in simulation environments and, where relevant, on robotic platforms.
  • Document methods and results, and contribute to technical reports, research publications, and project deliverables.

Required profile

  • Master’s degree in Computer Science, Robotics, Artificial Intelligence, Electrical Engineering, or a related field.
  • Strong foundations in machine learning, deep learning, computer vision, and at least one of 3D/4D vision, reinforcement learning, or robotics.
  • Practical experience developing and evaluating research systems, including data pipelines, model training, ablation studies, and reproducible experiments.
  • Experience in embodied AI, world models, robot learning, humanoid control, sim‑to‑real transfer, or generative 3D/4D modelling is desirable.
  • Excellent analytical, communication, and teamwork skills, with the ability to work independently and learn new methods quickly.

Required skills

  • Python
  • PyTorch
  • C++
  • ROS
  • Isaac Gym

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Source : ats:workday

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Published 1 month ago

Expires 3 hours from now

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ntu

NTU Main Campus