The School of Computer Science and Engineering (SCSE) (http://scse.ntu.edu.sg/), Nanyang Technological University has an opening for Research Associate to develop state-of-the-art algorithms in computer vision and machine learning for low cost sensing.
The candidate will develop state-of-the-art algorithms in one or all of the following areas: object detection/classification, object tracking, object behaviour analysis, crowd density estimation, visual odometry, stereo vision, structure from motion, multi-sensor fusion, deep learning, etc.
Develop collaborative vision-based sensing methods for localized detection of traffic data/incidents e.g. congestion on roads, accidents, broken-down vehicles, traffic violation, crowd density estimation, etc.
Publish research findings in top-tier peer-reviewed journals and conferences.
The appointment is initially for a period of one year with a provision for further extensions subject to good performance. The salary is highly competitive for strong candidates.
- A Master’s degree in Computer Engineering, Computer Science, and Electronic Engineering
- Good English communication skills
- Proven expertise in state-of-the-art computer vision algorithms and machine learning
Please submit your full CV (including education background, research and work experience and list of publications and highlighting previous relevant experience) to firstname.lastname@example.org.
We regret that only shortlisted candidates will be notified.