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Location: London, UK
Start date: Sept-Oct 2012
Application deadline: 31 January 2012
Eligibility requirements: http://www.epsrc.ac.uk/funding/students/pages/eligibility.aspx
EPSRC supported PhD Studentship
Automatic
Personality Analysis and Assessment
Applications are invited for a PhD Studentship to
undertake interdisciplinary research in the areas of social signal processing and behavioural computing, with a particular focus on automatic
personality analysis and assessment, starting September/October 2012.
Research suggests that
personality traits such as extraversion, agreeableness, and openness to
experience, are tightly coupled with human abilities and behaviour encountered in daily lives: success in
interpersonal tasks, academic ability, job performance, etc. Moreover,
the problem of assessing people's personality is very important for
multiple research and business domains such as computer-mediated staff
assessment and training, personality profiling for personal wellness
technologies, and enhancing human-computer interaction. Therefore, this
project will focus on (1) developing a set of audio-visual tools that can
analyse human personality traits from nonverbal
cues (e.g., non-verbal behaviour expressed
through face, body and/or voice) and (2) providing automatic personality
assessment in terms of extraversion, agreeableness, openness
to experience, neuroticism, and conscientiousness.
The studentship 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 of the
Multimedia and Vision research group (http://www.eecs.qmul.ac.uk/~hatice/) and Prof Andrea Cavallaro (http://www.eecs.qmul.ac.uk/~andrea/
) of the Vision Group research group.
Information about the school and its research areas can be found at www.eecs.qmul.ac.uk.
Candidates should have a first class honours degree or equivalent (or a Masters Degree), in Computer
Science, Mathematics, Physics, Engineering, and Statistics or a related discipline, and must be able to demonstrate strong
mathematical and analytical skills, and programming skills in Matlab and C++. Background in visual information
processing, machine learning or pattern recognition, and experience in
using relevant libraries (e.g., OpenCV) is also
desirable.
The studentship is funded by a Queen Mary EPSRC
Doctoral Training Account, and will cover student fees and a tax-free
stipend starting at GBP 15,590 per annum. Further details of the EPSRC
scheme including terms and conditions can be found here: http://www.epsrc.ac.uk/funding/students/dta/Pages/default.aspx.
Applicants must be UK nationals or residents as defined here: http://www.epsrc.ac.uk/funding/students/pages/eligibility.aspx
Informal enquiries can be
made by email to Dr
Hatice Gunes (hatice@eecs.qmul.ac.uk). To
apply please follow the on-line process (see www.qmul.ac.uk/postgraduate/apply
) by selecting Electronic Engineering in the A-Z list of
research opportunities and following the instructions on the right
hand side of the web page.
Please
note that
instead of the 'Research Proposal' we request a 'Statement of Research
Interests'. Your Statement of Research Interest should answer two questions:
(i) Why are you interested in the proposed area? (ii) What is your experience
in the proposed area? Your statement should be brief: no more than 500 words
or one side of A4 paper. In
addition we would also like you to send a sample of your written work.
This might be a chapter of your final year dissertation, or a published
conference or journal paper. More details can be found at: www.eecs.qmul.ac.uk/phd/apply.php
.
The
closing date for the applications is 31/01/12.
Interviews
are expected to take place during February 2012.
Valuing Diversity & Committed to Equality
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