Research Associate (Object Detection/ Segmentation)

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. 

• →

  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.

• 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.