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:

• Literature review of existing methods and models
• Identify the weaknesses of existing models
• Propose and develop state-of-the-art methods to overcome existing problems.
• Train and evaluate the models and systemically compare them with recent models.
• Prepare papers and reports.
• Develop systems based on the developed models for agencies/commercial partners

Job Requirements:

• Preferably Master in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Independent, highly analytical, proactive and a team player
• Excellent teamwork and verbal, written communication skills
• In-depth knowledge relevant to 1) open-object detection, segmentation, VLLM, or 2) diffusion models, deep fake classification, real and generated image classification
• Demonstrated capability to conduct innovative research.
• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.
• Demonstrated ability to formulate hypothesis and design effective experimental plans.
• Ability to design and implement new experimental methods.
• High-level expertise in the required experiment or modelling methods.
• Ability to initiate collaboration research in multidisciplinary team.
• Ability and willingness to work some flexible hours.
• A strong publication record at the top AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, and ICLR) in the related areas is a must.
• Strong software implementation skills.

We regret that only shortlisted candidates will be notified.