[Imageworld] Computer Vision Research Engineer in Human Screening/Recognition - QMUL

[Shaogang Gong]

Research Engineer – To Develop a Computer Vision System for Real-Time 
Human Screening/Profiling/Recognition, Queen Mary University of London, UK

Experience and qualifications:
C++, Matlab, OpenCV, XML, Linux, Visual Studio, a suitable PhD or Master 
degree in Video/image processing/Computer Vision and Machine learning, 
3+yrs software development, be self-motivated, technically accomplished 
and a team worker.

Applications are invited for a research engineer to develop a real-time 
human screening and profiling system using computer vision and machine 
learning techniques. The work is part of a 15 months proof-of-concept 
project. Salary 34K per annum inclusive.

Successful candidate will join a team of researchers at the Queen Mary 
Vision Laboratory in the School of Electronic Engineering and Computer 
Science, Queen Mary University of London 
(http://www.dcs.qmul.ac.uk/research/vision/), specialising in video 
behaviour analysis and abnormality detection, people detection and 
tracking in crowded scenes, video object super-resolution for face 
recognition, human facial expression and body language modelling , 
video-audio avatar, dynamic scene background removal, and object 
categorisation.

Further information and application form at 
http://www.dcs.qmul.ac.uk/staff/recruit/. To apply, applicants should 
send electronically Prof Shaogang Gong (sgg at dcs.qmul.ac.uk) a completed 
application form with a CV. Interviews commence 10th February 2009.