Research Fellowship: Graphical Models

[David Barber]

UNIVERSITY OF EDINBURGH: DIVISION OF INFORMATICS

RESEARCH FELLOWSHIP IN GRAPHICAL MODELS

The project, which runs for three years, aims to exploit the interface
between models and techniques in physics (statistical mechanics) and
informatics. Whilst the project is primarily theoretical, the emphasis
is to study systems and techniques with direct application in areas of
probabilistic inference in large stochastic systems, including pattern
processing, error correcting codes, and cryptography. The scope of the
project is broad and includes potentially the modelling of complex
biological systems.

Ideally you will have postgraduate experience in the mathematical,
physical or computing sciences

Salary scale: 16,775 - 25,213 Pounds Sterling Per Annum

Please quote Ref: 316428WW

For further particulars and an application pack visit our web site
(www.ed.ac.uk) or telephone the recruitment line on 0131-650-2511.

Closing Date: 29 JUNE 2001


Further Particulars:
====================

RESEARCH FELLOWSHIP IN GRAPHICAL MODELS

The Institute for Adaptive and Neural Computation, part of the
Division of Informatics, seeks a research fellow in the field of
Graphical Models.

The aim of the project is to develop methods to deal with large
scalestochastic systems with applications in machine learning and
related fields. The framework within which this work will be carried
out is Graphical Models, which exploit graph theoretic concepts in a
probabilistic setting.

The project aims to exploit the interface between models and
techniques in physics (statistical mechanics) and informatics. Whilst
the project is primarily theoretical, the emphasis is to study systems
and techniques with direct application in areas of probabilistic
inference, including pattern processing, error correcting codes, and
cryptography. The scope of the project is broad and includes
potentially the modelling of complex biological systems.

Skills and Qualifications:

The candidate is expected to have postgraduate experience in the
mathematical, physical or computing sciences. Familiarity with
statistical mechanics and Graphical Models would be an advantage. The
candidate should be highly motivated and keen to participate in a
lively interdisciplinary environment.

The position is available for a period of three years.

For informal enquiries, please contact David Barber dbarber at dai.ed.ac.uk

Tel +44 (0)131 650 4491; Fax +44 (0)870 130 5014