Research Fellow , Computer Vision

13 Nov 2020
End of advertisement period
13 Dec 2020
Contract Type
Full Time

A Research Fellow position is available in the Rapid-Rich Object SEarch (ROSE) Lab, School of Electrical & Electronic Engineering.

The ROSE Lab focuses on research in:

  1. visual object search,
  2. video analytics & deep learning, and
  3. multimedia forensics & biometrics. Many of the Lab’s projects make use of Artificial Intelligence (AI) and Machine Learning approaches. A critical resource at the ROSE Lab is its large-scale GPU computing facilities for machine learning. 

Job Responsibilities

  • The Research Fellow will be responsible for leading the research teams in the field of computer vision algorithm for person re-identification, biometric spoofing and transfer learning, as well as assisting to draft proposal. 

Job Requirements

  • Doctoral degree in Computer Science and/or Engineering, or a related field
  • Research experience in Computer Vision, Pattern Recognition, Deep Learning, and working with large-scale datasets would be an advantage
  • Experience in drafting research proposal
  • Background in software engineering and programming languages such as C/C++ and Python, as well as Linux (eg. Ubuntu)
  • Proficiency in software such as Caffe, PyTorch, TensorFlow, OpenCV, would be an advantage
  • Strong publication records in the top-tier journals (e.g., TPAMI, IJCV) and conferences (e.g., NeurIPS, CVPR) would be an advantage
  • Good inter-personal skills, with the ability to work with people from varied backgrounds
  • Proficient in English

We regret only shortlisted candidates will be notified.

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