Research Associate (Object Detection/ Segmentation)

Job description

Hyundai-NTU-A*STAR Corp Lab has a robotic pick and place project. We are seeking to hire a research associate to carry the computer vision part of the project. Key Responsibilities: Develop 3D objects and segmentation models for a robotic pick and place project. Develop data augmentation/data synthesis methods to address challenges from limited training data. Develop algorithms to annotate 2D images through 3D images. Check data quality. Review and identify the weaknesses of existing methods for 3D object detection and segmentation. Carry out experiments and analyze the results. Develop a robotic pick and place with other researchers and engineers. Prepare reports and scientific papers. Job Requirements: Master’s in Computer Engineering, Computer Science, Electronics Engineering or equivalent. More than 2 years of research experience preferred. In-depth knowledge of deep learning, specifically, 2D and 3D object detection and segmentation, SAM, foundation models, diffusion models, transfer learning and few-shot object detection and segmentation, 3D computer vision. Preferably with publications at top AI conferences, such as CVPR, ICCV, ECCV, NeurIPS, ICML and ICRL. Strong research capabilities, including innovative thinking, hypothesis formulation, experimental design, and project reporting. Collaborative and communication skills, with a proactive, analytical mindset and ability to work independently or as part of a team. Preferred technical expertise in software implementation and knowledge of robotics. We regret that only shortlisted candidates will be notified. Hiring Institution: NTU