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

Nanyang Technological University

Singapore

On-site

SGD 70,000 - 100,000

Full time

5 days ago
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Job summary

Nanyang Technological University (NTU Singapore) invites applications for a PhD-level research role in the College of Computing and Data Science. The successful candidate will advance 3D/4D scene reconstruction, scene understanding, and generative AI for video, with large-scale data pipelines and strong publication output.

Ideal candidates will hold a PhD and have a solid track record in computer vision or machine learning, with expertise in Python and PyTorch.

Qualifications

  • PhD in Computer Science, Computer Engineering, AI or equivalent.
  • Strong research record in computer vision / ML with solid programming skills.
  • Independent, analytical, proactive and a strong team player with excellent communication.

Responsibilities

  • Conduct research on 3D/4D scene reconstruction and rendering (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 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

Python
PyTorch
Research skills

Education

PhD in Computer Science or related

Tools

Python
PyTorch

Job description

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 A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.

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