Research Fellow - Computer Vision & Multimodal Deep Learning

About the role

The Hyundai-NTU-A*STAR Corporate Lab at NTU's main campus is looking for a research fellow to work on computer vision and deep learning techniques for object detection under challenging scenarios. The role focuses on multimodal detection models and accurate, efficient detection models under various data constraints. The lab works with Hyundai to turn research into technology, implementing and validating it with AI, robotics, 3D printing and digital twins.

Key responsibilities

• Research and develop a methodology or framework for multimodal large language models.
• Research and develop a methodology or framework for multimodal object detection.
• Report research findings in a report and/or present them at international peer-reviewed conferences and journals.
• Take part in mentoring Masters and FYP students.
• Initiate collaboration research in a multidisciplinary team and oversee and report project progress.

Required profile

• PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Good R&D experience in multimodal large language models.
• Demonstrated ability to conduct innovative research, formulate hypotheses and design effective experimental plans.
• Ability to design and implement new experimental methods and high-level expertise in the required experiment or modelling methods.
• Willingness to adapt and incorporate novel ideas and approaches in scientific industry.
• Excellent teamwork and verbal, written communication skills.