Research Associate (Object Detection/ Segmentation)

ntu; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

NTU invites applications for a Research Associate to lead computer vision work in a Hyundai-NTU-A*STAR Corp Lab project focused on robotic pick-and-place. You will develop 3D object detection and segmentation models, create data augmentation strategies, and build algorithms to annotate 2D images using 3D data.

This role emphasizes high-quality experiments and rigorous reporting. Candidates should hold a Master's in a relevant field, have 2+ years of research experience, and demonstrate knowledge

Qualifications

• Master's degree required in a relevant field.
• 2+ years of research experience preferred.
• Deep learning expertise in 2D/3D object detection, segmentation and 3D vision.
• Experience with SAM, foundation models, diffusion models, and transfer learning is desirable.

Responsibilities

• Develop 3D objects and segmentation models for robotic pick and place.
• Develop data augmentation and synthesis to address limited data.
• Annotate 2D images via 3D data and ensure data quality.
• Review weaknesses of 3D detection and segmentation methods; experiment and analyze results.
• Collaborate with researchers and engineers; prepare reports and papers.

Skills

Deep learning

2D/3D detection

3D computer vision

Foundation models

Diffusion models

Transfer learning

Few-shot learning

Publications

Education

Master's degree in Computer Engineering/CS/Electronics or equivalent

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