Research Fellow, Computer Vision

08 Jun 2020
End of advertisement period
08 Jul 2020
Contract Type
Full Time

As a member of the Saab-NTU Joint Research Centre at School of Mechanical & Aerospace Engineering, Nanyang Technological University, you will be part of a research team studying the use of Machine Learning (ML) and Artificial Intelligence (AI) techniques for the development of Next-Generation Air Traffic Management (ATM) assistance tools for Remote Airport Tower Control. We invites applications for the position of Research Fellow.

Key Responsibilities: 

  • Conduct research and development related to Computer Vision, Artificial Intelligence and Machine Learning applied to Air Traffic Management (ATM)
  • Develop algorithms, models, and tools for the automated detection and tracking of airport airside objects, and perform analytics for future ATM systems
  • Provide support on the implementation and verification of AI-based Remote Tower Control assistance systems

Job Requirements:

  • PhD. in Computer Science & Engineering, Electrical Engineering or related disciplines
  • Minimum 2 years of related work experience
  • Deep understanding of the theory of Machine Learning, Deep Learning, Image Processing and Computer Vision
  • Experience in the deployment the state-of-the-art techniques including CNNs, Faster R-CNN, YOLOv3, RentinaNe, LSTM, GAN
  • Experience in at least one Deep Learning framework such as Tensorflow, Keras, Pytorch and Programming Languages such as Python, Matlab, R and/or C/C++
  • Demonstrated project experience related to Airport or Air Traffic Management will be an advantage
  • Understanding of statistical methods and/or probability theory is a plus
  • Good written and oral communication skills
  • Independent and team player

We regret that only shortlisted candidates will be notified.

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