Research Associate (Object Detection/ Segmentation)
LocationNTU Main Campus, Singapore
Work modeon-site
Company size10,000+ people
First seen1w ago
Last seen1d ago
About the role
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:
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Develop 3D objects and segmentation models for a robotic pick and place project.
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Develop data augmentation/data synthesis methods to address challenges from limited training data.
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Develop algorithms to annotate 2D images through 3D images.
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Check data quality.
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Review and identify the weaknesses of existing methods for 3D object detection and segmentation.
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Carry out experiments and analyze the results.
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Develop a robotic pick and place with other researchers and engineers.
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Prepare reports and scientific papers.
Job Requirements:
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Master’s in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
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More than 2 years of research experience preferred.
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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.
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Preferably with publications at top AI conferences, such as CVPR, ICCV, ECCV, NeurIPS, ICML and ICRL.
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Strong research capabilities, including innovative thinking, hypothesis formulation, experimental design, and project reporting.
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Collaborative and communication skills, with a proactive, analytical mindset and ability to work independently or as part of a team.
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Preferred technical expertise in software implementation and knowledge of robotics.
We regret that only shortlisted candidates will be notified.