Research Associate (Object Detection/ Segmentation)

Nanyang Technological University Singapore; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Nanyang Technological University Singapore seeks a researcher specializing in robotics and deep learning. The successful candidate will work on developing 3D object segmentation models and data augmentation methods while collaborating with a team of engineers.

Applicants should possess a Master’s degree and have more than 2 years of research experience, along with a strong understanding of 2D/3D object detection and segmentation methods.

Qualifications

• More than 2 years of research experience preferred.
• In-depth knowledge of deep learning methods and applications.
• Strong research capabilities including innovative thinking and experimental design.

Responsibilities

• Develop 3D objects and segmentation models for robotic projects.
• Analyze data quality and results of experiments.
• Prepare reports and scientific papers.

Skills

Deep learning

2D and 3D object detection

Segmentation models

Robotics

Data augmentation

Collaboration skills

Education

Master’s in Computer Engineering, Computer Science, Electronics Engineering or equivalent

Job description

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.

Hiring Institution: NTU