Research Assistant - AI Vision & 3D Scene Gen

NANYANG TECHNOLOGICAL UNIVERSITY; Singapore; On-site; SGD 50,000 - 70,000; Full time

Job summary

Nanyang Technological University (NTU) Singapore is seeking a research-oriented candidate to conduct advanced work in 3D/4D scene reconstruction and generative AI for video and vision-language systems. The role emphasizes publishing in top venues, contributing to open-source releases, and mentoring junior researchers.

The ideal candidate holds a Bachelor's degree in CS/CE/EE/AI/ML with strong programming skills in Python and PyTorch, and excels in independent and collaborative research in a

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Electronics Engineering, AI, Machine Learning or equivalent.
• Strong research record in computer vision / machine learning, with solid programming skills (e.g., Python, PyTorch) and demonstrated ability to conduct innovative research.
• Independent, highly analytical, proactive and a team player
• Excellent teamwork and verbal, written communication skills

Responsibilities

• Conduct research on 3D/4D scene reconstruction and rendering (e.g., NeRF, 3D Gaussian Splatting, novel view synthesis) and on scene understanding and interaction.
• Develop generative AI for video and 3D/4D generation, world models, and vision-language models (VLMs) / vision-language-action (VLA) systems, with supporting large-scale data pipelines.
• Publish in top-tier venues, contribute to open-source releases, mentor junior researchers, and report project progress.

Skills

Computer vision

Machine learning

Python

PyTorch

Teamwork

Communication skills

Education

Bachelor's degree in CS/CE/EE/AI/ML

Tools

Python

PyTorch

Job description

Nanyang Technological University (NTU) Singapore is seeking a research-oriented candidate to conduct advanced work in 3D/4D scene reconstruction and generative AI for video and vision-language systems. The role emphasizes publishing in top venues, contributing to open-source releases, and mentoring junior researchers.

The ideal candidate holds a Bachelor's degree in CS/CE/EE/AI/ML with strong programming skills in Python and PyTorch, and excels in independent and collaborative research in a