Research Fellow (Computer Engineering/Computer Science/Electronics Engineering)

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 for the targeted project applications.

• Propose and develop state-of-the-art computer vision techniques to overcome existing challenges

• 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

• Supervise junior researchers and master students

Job Requirements:

• Preferably PhD 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 of deep learning, specifically VLM models, computer vision techniques (e.g., open vocabulary object detection, model distillation, VQA, test-time adaption, domain adaption) or image/video watermarking

  • 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.

  • Ability and willingness to work some flexible hours.

  • Preferably publications related in CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, TPAMI, TIP, TIFS, TMM and T-BIOM

  • Strong software implementation skills.

  • Preferably 4 years+ research experience, including PhD/Master study.

We regret that only shortlisted candidates will be notified.