About the role
Research Associate (Object Detection/ Segmentation) is a active engineering role at ntu in NTU Main Campus, Singapore. Open the role to review the official description and apply on the company site.
CompanyOnsite
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.
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