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.

MMLab@NTU at CCDS is a research lab at Nanyang Technological University focused on advancing computer vision, multimodal AI, generative AI, and embodied AI. Founded in 2018, the lab has grown into a vibrant research group with around 40 members comprising faculty, research staff, and PhD students. Our members develop both foundational methods and practical systems, with recent research covering areas such as large multimodal models, generative intelligence, 3D content creation, scene understanding, and efficient vision models for real-world deployment.

We are seeking Research Fellow to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to generative design.

Key Responsibilities:

• To independently undertake research in machine learning.  

• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.  

• To provide guidance and support to any students associated with the project.   

• To attend, contribute, and where necessary lead relevant meetings.  

• To undertake any other duties relevant to the programme of research. 

Job Requirements:

• PhD degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Strong background in machine learning and computer vision.

• Strong publication records in top-tier machine learning or computer vision conferences/journals, such as TPAMI, IJCV, CVPR, ICCV, ECCV, NeurIPS, ICML and AAAI.

• Knowledge of scientific or engineering software like PyTorch.                                                               

• Assist in postgraduate student supervision.

• Capacity to conduct small group teaching such as undergrad labs and tutorials.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.