Research Fellow , Computer Vision
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:
- visual object search,
- video analytics & deep learning, and
- 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.
- 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.
- 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.