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 a Research Fellow to join MMLab@NTU at the College of Computing and Data Science for a Tier 2 research project in computer vision and multimodal learning. Key responsibilities include: Key Responsibilities: Conduct research in computer vision, vision-language models and generative AI. Develop methods for AI memory. Build datasets and evaluate robustness, generalisation and hallucinations in visual models. Publish research findings and prepare technical reports and reproducible implementations. Mentor students and collaborate with the research team to deliver project milestones. Job Requirements: PhD in Electrical and Computer Engineering, Computer Science, AI or a related field. Strong background in computer vision, deep learning and vision-language models. Research experience in generative AI, foundation models and AI memory. Strong publications in leading computer vision or machine learning venues. Experience implementing and fine-tuning deep learning models, using frameworks such as PyTorch. Strong experimental, analytical and scientific writing skills. Ability to work independently, collaborate effectively and mentor students. 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. For more information, visit www.ntu.edu.sg About NIE About RSIS About LKCMedicine About NTUItive

Research Fellow (Electrical and Computer Engineering/Computer Science/AI).

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