Research Engineer: Generative 3D/4D AI & Embodied Robotics

Nanyang Technological University Singapore; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

NTU Singapore's College of Computing and Data Science invites a Research Engineer to advance the NRFI project on intrinsic-aware visual generation. You will develop learning-based systems for generative 3D/4D scene modelling, world models, and embodied intelligence, collaborating with world-class researchers.

The role emphasizes building data pipelines, running experiments, and contributing to reports and publications, with opportunities to publish in top venues and work with robotic platforms.

Qualifications

• Master's degree in Computer Science, Robotics, AI, Electrical Engineering, or related field.
• Solid background in ML, DL, CV, and RL or robotics.
• Proficiency in Python and PyTorch; experience with C++, ROS, and Isaac Gym is advantageous.
• Experience building research systems, data pipelines, and reproducible experiments.
• Experience in embodied AI or 3D/4D modelling is desirable.

Responsibilities

• Develop learning-based methods for 3D/4D scene representations and embodied AI.
• Build scalable data, training, and evaluation pipelines with PyTorch.
• Design experiments for geometric consistency, temporal dynamics, and physical plausibility.
• Integrate prototypes in simulation and robotics platforms where relevant.
• Document methods and contribute to reports and publications.

Skills

ML fundamentals

Deep learning

Computer vision

Reinforcement learning

Robotics

Education

Master's degree in Computer Science, Robotics, AI, Electrical Engineering, or related field

Tools

Python

PyTorch

C++

ROS

Isaac Gym

Job description

NTU Singapore's College of Computing and Data Science invites a Research Engineer to advance the NRFI project on intrinsic-aware visual generation. You will develop learning-based systems for generative 3D/4D scene modelling, world models, and embodied intelligence, collaborating with world-class researchers.

The role emphasizes building data pipelines, running experiments, and contributing to reports and publications, with opportunities to publish in top venues and work with robotic platforms.