Research Associate (Object Detection/ Segmentation)

Nanyang Technological University; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

NTU Singapore invites applications for a Research Associate to lead the computer vision work in a robotic pick-and-place project at the Hyundai-NTU-A*STAR Corp Lab. The role centers on developing 3D object detection and segmentation models and advancing data augmentation techniques.

The successful candidate will conduct experiments, analyze results, and contribute to publications while collaborating with engineers and researchers.

Qualifications

• Advanced knowledge of 2D/3D object detection and segmentation.
• Experience with SAM, foundation models, diffusion models, transfer learning and few-shot methods.
• Publications at top AI conferences (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR) preferred.
• Strong research capabilities including hypothesis formulation and experimental design.
• Collaborative and proactive communication skills; ability to work independently or in a team.

Responsibilities

• Develop 3D objects and segmentation models for robotic pick and place project.
• Develop data augmentation/data synthesis methods to address limited training data.
• Develop algorithms to annotate 2D images through 3D data.
• Check data quality.
• Review weaknesses of existing methods for 3D object detection and segmentation.
• Carry out experiments and analyze results.
• Develop robotic pick and place with other researchers and engineers.
• Prepare reports and scientific papers.

Skills

3D object detection

3D segmentation

2D object detection

Foundation models

Diffusion models

Transfer learning

Few-shot learning

Deep learning

SAM

Robotics knowledge

Data augmentation

Education

Master's degree in Computer Engineering / Computer Science / Electronics Engineering

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 A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes - the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering - and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world's top universities by QS, NTU has also been named the world's top young university for the past seven years. The University's main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore's healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources. For more information, visit www.ntu.edu.sg About NIE About RSIS About LKCMedicine About NTUItive