NANYANG TECHNOLOGICAL UNIVERSITY

Research Fellow, Machine Learning/Image Processing

Location
Singapore
Posted
08 Oct 2020
End of advertisement period
07 Nov 2020
Ref
R00003072
Contract Type
Permanent
Hours
Full Time

Rehabilitation Research Institute of Singapore invites applications for the position of Research Fellow.

Key Responsibilities:

  • Work on a research project to develop a working prototype of data-driven markerless motion capture system at the data processing level using machine learning/deep learning as the main tool
  • Adapt and apply state-of-the-art deep learning techniques/architectures to solve problems in the project
  • The task can be related to image keypoint detection (main focus), image style transfer, and image inpainting
  • Design a proper data collection protocol for the creation of a human motion capture dataset which will be used to train and evaluate the model
  • Evaluate the performance of created system in various configurations to search for an optimal one
  • Become a part of authorship in publications

Job Requirements

  • Ph.D. degree in Computer Science, Computer Engineering, Electrical/Electronic Engineering, Engineering, or equivalent industry experience
  • Master and bachelor’s degree in computer science, Computer Engineering, Electrical/Electronic Engineering, engineering, or equivalent industry experience are welcome to apply
  • Experience of at least one successful project that uses convolutional neural network to process images or videos, the project can be a coursework-based, a job-based, a publication-based, or a hobby-based project
  • Python programming with experience in automatic differentiation library such as PyTorch or TensorFlow
  • Understanding of basic digital image processing
  • Strong analytical and problem-solving skills
  • Open to learning new methods
  • Ability to implement state-of-the art machine learning methods from reading papers is advantageous
  • Understanding in neural network architecture for keypoint detection task and/or image style transfer is advantageous

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU

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