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Research Fellow (Computer Science/Computer Engineering/Electronics Engineering/AI/Machine Learning)

Ntu · NTU Main Campus, Singapore

Mixed hiring record · median 55 days open

9898

Hiring signal

Actively hiring

Still listed on the employer's own board · How we score

All reasons
  • 49% of this employer's openings are over 60 days old

In its favour

  • Still listed on the employer's own board

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Research Fellow (Computer Science/Computer Engineering/Electronics Engineering/AI/Machine Learning) at Ntu. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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

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