[visionlist] 1 Postdoctoral and 1 PhD position in Multimedia and Vision - Queen Mary, London

Ioannis (Yiannis) Patras I.Patras at elec.qmul.ac.uk
Mon Apr 13 04:45:47 PDT 2009


1 x Postdoctoral Research Associate – Multimedia & Computer Vision (Ref:
09125/KR)
1 x EPSRC sponsored PhD Studentship – Multimedia & Computer Vision (Ref:
09125ElecEng)

Applications are invited for a full time Postdoctoral Research Associate
and one EPSRC sponsored PhD Student to undertake research within the
context of an EPSRC-funded project, ‘Recognition and Localisation of
Human Actions in Image Sequences’, scheduled to start in August 2009.

  The project will build on recent developments in Computer Vision,
Pattern Recognition and Machine Learning in order to develop methods for
recognition and localisation of human and animal action categories in
image sequences. The methods will allow incremental learning from few
examples and should deal with a large class of action categories,
including facial/hand/body actions, and interaction between humans and
objects in their environment.


Postdoctoral Research Associate

The successful candidate will be based at the Queen Mary Multimedia and
Vision Laboratory (http://www.elec.qmul.ac.uk/mmv) one of UK's leading
research laboratories in multimedia and computer vision, working with
Dr. Ioannis Patras (http://www.elec.qmul.ac.uk/people/ioannisp/) in the
School of Electronic Engineering and Computer Science.

Candidates should have a PhD in computer vision and/or machine learning
(we would consider those whose thesis’ are very close to submission).

The position is for 3 years starting from 1st of August 2009 or as soon
as possible thereafter. Starting salary will be in the range £30,079 -
£35,355 per annum inclusive of London Allowance.

Candidates must be able to demonstrate their eligibility to work in the
UK in accordance with the Asylum and Immigration Act 1999.

Further details and an application form for the Research Associate
position can be found at www.hr.qmul.ac.uk/vacancies.

To apply for the Research Associate position, please email the following
documents to Ioannis Patras: I.Patras at elec.qmul.ac.uk  AND Sue White:
applications.research at eecs.qmul.ac.uk: Completed application forms; a CV
listing all publications; two independent references; a pdf of your
representative publications and a research statement describing your
previous research experience and outlining the relevance to this project


EPSRC sponsored PhD Studentship

The applicant should have a first or upper second honours degree or
equivalent in computer science, electronic engineering and be able to
demonstrate good problem solving and analytical skills. S/he should have
good programming skills and preferably experience with Matlab. Some
research experience in one of the fields of Image Processing, Computer
Vision, Machine Learning and Statistical Pattern Recognition is a plus.
Published or to-appear results in an international conference or journal
would be an advantage.

  The studentship includes both tuition fees and a stipend in the form
of a tax-free bursary in line with EPSRC recommendations (currently
£14940 pa for 2008/09 session).

An application form for the Studentship can be found at
http://www.qmul.ac.uk/postgraduate/apply/

To apply for the PhD Studentship, please email to Dr. Ioannis Patras:
I.Patras at elec.qmul.ac.uk and Melissa Yeo: phd-enquiries at eecs.qmul.ac.uk,
  a completed application form and the relevant documents
(http://www.eecs.qmul.ac.uk/phd/apply.php) including an updated CV and
two reference letters.


Informal enquiries should be addressed to Dr Ioannis Patras:
I.Patras at elec.qmul.ac.uk or +44 20 7882 7523.


The closing date for the applications is Friday 15th May 2009.

Interviews are expected to be held during the first week of June 2009.



-- 
Dr. Ioannis Patras
Lecturer in Multimedia and Computer Vision

Department of Electronic Engineering and Computer Science
Queen Mary University of London

Ioannis.Patras at elec.qmul.ac.uk
Tel. +44 20 7882 7523
Fax: +44 20 7882 7997
http://www.elec.qmul.ac.uk/people/ioannisp/








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