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Research Associate (Visual Analytics - 3D Face & Skin)
The NTU-PKU Joint Research Institute invites applications for the position of Research Associate.

NTU-PKU Joint Research Institute mainly focus on joint research in Multi-Modal Big Data Analytics for Smart Cities. The research will support Singapore's Smart Nation vision that harnesses technology and data to improve living standards, strengthen communities, and create more business opportunities. The project involves the use of deep learning for object detection, human pose estimation, and 3D face modeling & simulation.

Key Responsibilities:
  • Research into computer vision related work, including object detection, human pose estimation, 3D face modeling & simulation, and skin analytics.
  • Creation of large-scale datasets for research and algorithm evaluation
  • Be part of a research team in the execution of funded research projects
  • Assist in drafting of proposals for research grants in the above areas


Job Requirements:
  • Masters degree in Electrical/Electronic Engineering, Computer Science, or related field
  • Research experience in Computer Vision, Pattern Recognition, Deep Learning, and working with large-scale datasets
  • Experience with deep learning for image/video understanding and object detection is essential.
  • Knowledge of 3D face modeling & simulation, human pose estimation, and skin analytics would be a strong advantage.
  • Proficiency in software such as PyTorch, TensorFlow, OpenCV, and programming languages such as C/C++ and Python, as well as Linux (eg. Ubuntu) is essential.
  • Knowledge of GPU computing, CUDA programming, optimization (eg. with TensorRT), and industry experience in engineering software development would be an advantage.
  • Good inter-personal skills, with the ability to work with people from varied backgrounds
  • Proficient in English


We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU
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JOB SUMMARY
Research Associate (Visual Analytics - 3D Face & Skin)
Singapore
a month ago
No experience / No degree
Full-time