Liaise with a cross-functional team to research and develop algorithms for image processing and computer vision in automated optical inspection systems.
Model Training & Fine-Tuning: Train, evaluate, and improve deep learning models across a variety of tasks, including classification, object detection, segmentation, and action recognition.
Conduct applied research in computer vision and multimodal learning, with a focus on developing novel algorithms, improving model accuracy and robustness, and reducing computational and inference overhead.
Young and research-intensive, Nanyang Technological University (NTU Singapore) is ranked among the world’s top universities. NTU’s Wee Kim Wee School of Communication and Information (WKWSCI) is highly respected for its strong record of academic research and global experiential learning. WKWSCI is part of the College of Humanities, Arts and Social Sciences (CoHASS), which aims to be Asia’s leading centre for innovative, interdisciplinary Humanities, Arts and Social Sciences research and practice. CoHASS is also home to the Asian Centre for Digital Cultures and works closely with NTU’s Institute for AI and Ethics, where interdisciplinary collaboration happens among humanities, arts and social science scholars, and computer scientists and engineers.
Conduct applied research in computer vision and multimodal learning, with a focus on developing novel algorithms, improving model accuracy and robustness, and reducing computational and inference overhead.
The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.
Design and develop intuitive frontend interfaces for the Digital Twin platform, enabling real-time visualization and interaction with complex system data (e.g., battery systems, energy flows, simulations)..
Train, fine-tune, and evaluate computer vision models for tasks such as classification, object detection, segmentation, pose estimation, and action recognition.
Conduct research on advanced topics in video generation and understanding, including but not limited to text-to-video generative models, image-to-video generative models, video understanding models, unified native video generative models.