3 PhD Studentships Available

S.Singh@exeter.ac.uk S.Singh at exeter.ac.uk
Tue Oct 3 05:46:07 EDT 2000


UNIVERSITY OF EXETER, UK

SCHOOL OF ENGINEERING AND COMPUTER SCIENCE

Department of Computer Science

We now invite applications for the following three PhD studentships
within our department. Please note the different deadlines for
application and project details.


1. PhD Studentship as a Graduate Teaching Assistant
Deadline for Application: 13 October, 2000

"Digital video retrieval based on multiple sources of information."

The project will develop student skills in areas including neural
networks, image analysis, pattern recognition and multimedia
information retrieval. Candidates for this studentship should have a
degree in computer science, engineering or a related subject. They
should have programming skills in C/C++/JAVA and knowledge of the Unix
operating system. Previous knowledge of image processing, multimedia
or information retrieval is useful but not absolutely
necessary. Further information may be obtained from the project
supervisors Dr. S Singh (S.Singh at exeter.ac.uk) and Dr. G. Jones
(G.J.F.Jones at exeter.ac.uk).

The student will also work as a Graduate Teaching Assistant within the
department, helping with the teaching of core undergraduate modules
also postgraduate modules in their area of research. Assistants are
required to attend the SEDA training course at the University and will
be expected to undertake up to 150 hours teaching per annum. The SEDA
training is aligned to the new National Institute of Learning and
Teaching's Associate Part 1 award.

2. PhD Studentship
Deadline for Application: 30 October, 2000

"Adaptive and Autonomous Image Understanding Systems"

The project will explore intelligent algorithms for adaptive image
understanding including context based reasoning. Generic methodology
will be developed based on image processing and pattern recognition
methods to allow automatic processing of scene analysis data using
video sequences. The goal of the project is to develop a seamless
system that continuously evolves in real-time with video images.

It is expected that prospective applicants have good mathematical and
analytical background, with programming experience in C/C++ and
Unix/Linux operating systems.

3. PhD Studentship
Deadline for Application: 30 October, 2000

"Ultrasound based object recognition and integration with image
analysis"

Only recently it has been demonstrated that ultrasound can be used to
detect objects in controlled environments. It has been used for face
recognition and obstacle avoidance.  In this project we develop
techniques for ultrasound based object recognition and couple this
ability with image processing on a mobile platform (robot). The
ultrasound method will provide the low resolution cheaper method as a
front end triggering the image processing component for more detailed
analysis. The research will be tested on indoor and outdoor
environment.

It is expected that prospective applicants have good mathematical and
analytical background, with programming experience in C/C++ and
Unix/Linux operating systems.


The studentship covers UK/EU fees and maintenance (currently £6,620
pa). Funding for project (1) is for up to four years, and for projects
(2,3) for up to three years.  The successful candidates should expect
to take up the studentship no later than 1 December, 2000 or as soon
as possible when negotiated with the department.


Applicants should send a letter of application and a CV, including the
names and addresses of two referees, to project supervisor, Dr. Sameer
Singh, Department of Computer Science, University of Exeter, Exeter
EX4 4PT, UK (email S.Singh at ex.ac.uk). Applicants should ask their
referees to send their references directly to the above
address. Informal enquiries can be made 01392-264053; further details
of the Department's work in the above areas may be found on the web at
www.dcs.ex.ac.uk/research/pann


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Sameer Singh
Department of Computer Science
University of Exeter
Exeter EX4 4PT
United Kingdom
Tel: +44-1392-264053
Fax: +44-1392-264067
e-mail: s.singh at ex.ac.uk
WEB: http://www.ex.ac.uk/academics/sameer/index.htm
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