UK:Post-Doc Researcher Position for Automatic Analysis of Emotional and Social Behavior in Digitally Augmented Public Space.

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Description:
The post-doc position is funded by a major EPSRC Project titled ‘Humans and Robots in Public Spaces (HARPS)’ (http://www.eecs.qmul.ac.uk/~hatice/harps.html ). The project aims to create a ‘model’ digitally augmented public space equipped with the capacity to track micro-contacts between multiple individuals in real time, and capture and process information about the emotional and nonverbal communicative qualities of behaviours across time. The project will investigate the importance of behavioral synchrony for social cohesion and community relations, and derive implicit measures of the effectiveness of different interventions for promoting social cohesion.

The post will be based at the School of Electronic Engineering and Computer Science at Queen Mary, University of London and will be supervised by Dr Hatice Gunes (http://www.eecs.qmul.ac.uk/~hatice/). Information about the school and its research areas can be found at www.eecs.qmul.ac.uk.

Duration:
The post is full time and for 24-36 months (negotiable)

Starting from:
01/10/2013 or as soon as possible thereafter.

Salary and other Benefits:
Starting salary will be £34,283 per annum inclusive of London Allowance. Benefits include 30 days annual leave, defined benefit pension scheme and interest-free season ticket loan. Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. Where required this may include entry clearance or continued leave to remain under the Points Based Immigration Scheme.

Eligibility:
Qualified candidates must have a PhD (already obtained or shortly to be awarded) in Computer Science or Engineering with a particular focus on Machine Learning, Computer Vision, or a related area with outstanding research record and experience,and excellent analytical and programming skills using C++ and/or MATLAB.
Successful candidates will mainly work on capturing, processing and analysing emotions and non-verbal behaviour of people, and conduct basic research and interact with the principal investigator, collaborators  and graduate students. Therefore background in affective computing and automatic human behaviour analysis and understanding is desirable.

For further nformation:
Informal enquiries should be addressed to Dr Hatice Gunes at hatice@eecs.qmul.ac.uk

Dr. Hatice Gunes
Lecturer (Assistant Professor)
Queen Mary University of London
School of Electronic Eng. & Computer Science
Mile End Road, London E1 4NS U.K.
Phone: +44 20 7882 5349
Email: hatice@eecs.qmul.ac.uk
Web: http://www.eecs.qmul.ac.uk/~hatice/
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