Research Fellow (Computer Science/Computer Engineering/Electronics Engineering/AI/Machine Learning)
At a glance
Mid-level Machine Learning Engineering role at Ntu. NTU Main Campus · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Investigate ways to reconstruct and render 3D or 4D scenes, including novel-view methods and scene interaction
- Build generative AI for video and 3D or 4D content, world models, and vision-language systems, supported by large data pipelines
- Publish research, contribute open-source work, guide junior researchers, and share project progress
What you bring
- A PhD in computer science, computer engineering or another listed field, or an equivalent qualification
- A strong track record in computer vision or machine learning research, with solid programming ability in Python or PyTorch
- Evidence that you can carry out original research, alongside clear written and spoken communication
Who this fits
This role suits a doctoral researcher who can work independently, analyze problems carefully, take initiative, and collaborate well. The position is based at NTU Main Campus in Singapore.
From the employer
Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.
A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.
Key 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.
Job Requirements:
- PhD 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 strong team player
- Excellent verbal and written communication skills
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU