[visionlist] Post-doc position on “Automatic analysis of affective and social behaviour”

Hatice Gunes hatice at eecs.qmul.ac.uk
Wed Apr 3 15:06:30 GMT 2013


*Post-doc position on “Automatic analysis of affective and social 
behaviour”*
Queen Mary University of London, School of Electronic Engineering & 
Computer Science

Salary: £34,283 per annum inclusive of London Allowance (grade 4)
Application closing date: 21-04-2013
Application website: http://www.jobs.qmul.ac.uk/3744


*Overview*
---------------------------------------------------------
Applications are invited *from all nationalities* for a Post-doc 
Position to undertake interdisciplinary research in the area of 
automatic analysis of affective and social behaviour, starting 
August/September 2013.

The problem of automatic analysis of people's affective and social 
behaviour is very important for multiple domains such as enhancing 
human-computer and human-agent interaction, improving gaming technology 
and players' experience, etc. The post-doc position is funded by the 
EPSRC Project MAPTRAITS that aims to develop tools for automatic 
analysis of human affective and social signals from nonverbal visual or 
audiovisual cues (e.g., expressed through face and/or body gestures, 
vocal cues), and assess human affective and social traits (e.g., 
valence, arousal, power, extraversion, agreeableness, etc.) using 
findings from social sciences.

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 (www.eecs.qmul.ac.uk/~hatice/ 
<http://www.eecs.qmul.ac.uk/%7Ehatice/>). Information about the school 
and its research areas can be found at www.eecs.qmul.ac.uk 
<http://www.eecs.qmul.ac.uk>. The post is full time and for 12 months 
(starting from 01/08/2013 or as soon as possible thereafter). 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.

Qualified candidates must have a Ph.D. in Machine Learning, Computer 
Vision, Multimedia Information Processing or related areas with 
outstanding research record and experience, and excellent analytical and 
programming skills using C++ and/or MATLAB. Background in affective 
computing and automatic human behaviour understanding is desirable. 
Successful candidates will conduct basic research and interact with the 
principal investigator, graduate students, and collaborators.

Informal enquiries should be addressed to Dr Hatice Gunes at 
hatice at eecs.qmul.ac.uk <mailto:hatice at eecs.qmul.ac.uk>
Application enquiries should be directed to recruitment at qmul.ac.uk 
<mailto:recruitment at qmul.ac.uk>

Your supporting document should contain the following:

1. A full CV listing degrees and dates, publications and a list of 
scientific projects, past and present posts and relevant 
responsibilities, and programming skills;
2. A copy of your PhD thesis and best 3 publications in PDF format;
3. 2 reference letters;
4. A one-A4-page Statement of Interest answering the following three 
questions: (1) why are you interested in this post? (2) What is your 
experience in the proposed area? (3) What are your future research plans?

*The closing date for the applications is 21st April 2013.* Interviews 
are expected to take place during the week commencing 29/04/ 2013.

/Valuing Diversity & Committed to Equality/

-- 
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  <tel:%2B44%2020%207882%205349>
Email:hatice at eecs.qmul.ac.uk  <mailto:hatice at eecs.qmul.ac.uk>
Web:http://www.eecs.qmul.ac.uk/~hatice/  <http://www.eecs.qmul.ac.uk/%7Ehatice/>


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