Research Associate, Computer Science

Expiring today

27 Oct 2020
End of advertisement period
26 Nov 2020
Contract Type
Full Time

School of Computer Science and Engineering (SCSE) invites applications for the position of Research Associate.

Key Responsibilities:

The Research Associate will be responsible for

  • Develop new machine learning, AI and computer vision algorithms for analyzing medical images from NSC
  • Test and evaluate the algorithms, identify their weaknesses and improve them
  • Prepare reports and scientific papers
  • Develop prototype systems
  • Prepare all necessary data for the project

Job Requirements:

  • Master in Computer Science or related areas
  • Minimum 5 years of related working experience
  • Experience and excellent background in machine learning, deep learning, AI and pattern recognition
  • Proficient with programming languages (e.g. Python, Matlab, C++) and ability to build prototype systems at a pace
  • Familiar with classical computer vision and machine learning algorithms and deep learning methods including the state-of-the-art object detectors and segmentation methods
  • Hands-on experience with Tensor Flow, Keras, MXnet, Caffe, Torch or other deep learning frameworks
  • Excellent ability to communicate clearly with the ability to work with a team of researchers
  • Track records in publishing in top journals/conferences and creating IP
  • Experience on skin image analysis is must

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU

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