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From:
Hatice Gunes <[log in to unmask]>
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Date:
Mon, 2 Jan 2012 22:19:17 +0000
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The School of Electronic Engineering and Computer Science (EECS) at Queen
Mary University of London (QMUL) offers an exciting opportunity for a PhD
studentship (for *UK nationals or residents*) funded in the areas of *social
signal processing* and *behavioural computing*, with a particular focus on 
*automatic personality analysis and assessment* to complement and expand
the existing research expertise in the School and help stimulate
interdisciplinary expertise.


*The closing date for the applications is 31/01/12.  Interviews are
expected to take place during February 2012.*

______________________________________________________

*
*

*LOCATION, SUPERVISORS & CONTACT*

*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.

Informal enquiries can be made by email to Dr Hatice Gunes (
[log in to unmask]).

______________________________________________________

*
*

*FUNDING*

*The studentship is funded* by a Queen Mary EPSRC Doctoral Training
Account, and will cover student fees and a tax-free stipend starting at
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

______________________________________________________

*
*

*PROJECT DESCRIPTION*

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 a number of traits (e.g., extraversion,
agreeableness, openness to experience, neuroticism, and conscientiousness).

______________________________________________________

*
*

*CANDIDATES*

*Candidates should have* a first class honours degree or equivalent (or a
Masters Degree), in Computer Science, Mathematics, Physics, Engineering, or
Statistics or a related discipline, and must be able to demonstrate strong
analytical skills, and programming skills in Matlab and/or C++. Background
in visual information processing, machine learning or pattern recognition,
and experiencein using relevant libraries (e.g., OpenCV) is also desirable.
*Applicants must be UK nationals or residents* as defined here:
http://www.epsrc.ac.uk/funding/students/pages/eligibility.aspx

______________________________________________________

*
*

*APPICATION*

*To apply please email the following documents to *Dr Hatice Gunes (
[log in to unmask]): *a completed application form, a CV listing all
publications, your representative publications in PDF format (*a chapter of
your final year dissertation, or a published conference / journal paper*),
3 reference letters, a **statement of research interests** and other
supporting documents (see *www.eecs.qmul.ac.uk/phd/apply.php*). **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.  *These documents need to be
also submitted online following the instructions given in the following
link (*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*


**

______________________________________________________


-- 

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: [log in to unmask]
Web: http://www.eecs.qmul.ac.uk/~hatice/

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