Postdoctoral position available: machine learning/cancer bioinformatics

Postdoctoral Position in Machine Learning and Cancer Bioinformatics
University of Bristol, United Kingdom (vacancy ref. 15239)

We are seeking to appoint an outstanding postdoctoral researcher interested
in machine learning and bioinformatics to work with Dr. Colin Campbell,
University of Bristol, United Kingdom. This project will involve the
design of new algorithms and data analysis techniques in addition to
an important core application study. We will use a variety of methods
from modern machine learning including Bayesian techniques and probabilistic
graphical methods, kernel-based methods and other approaches. The core
application study will involve the use of unsupervised, semi-supervised,
biclustering and other machine learning and statistical methods to delineate
subtypes of cancer and identify dysregulated genes within these subtypes.
We are also very interested in the development and use of data integration
methods which can handle multiple types of data (e.g. expression array,
microRNA array, sequence data) within the same model.

Aside from this core application program, the appointee will have
the freedom to pursue research in machine learning, bioinformatics,
statistics and cancer informatics, according to their interests
and relevance to the project theme. Apart from Dr. Campbell there
are 11 other academic researchers in the Intelligent Systems
Laboratory with interests in machine learning and bioinformatics,
including Nello Cristianini, Tijl de Bie and Julian Gough, in
addition to numerous research assistants and PhD students.

The Research Assistant will be hosted by the Intelligent Systems
Laboratory within the newly-formed Dirac School of Engineering,
Bristol University. Dr. Campbell’s publications are available at and his personal webpage

The closing date for applications is:
***9.00am, Monday 1st March 2010***

Grade : Level A in Pathway 2
Salary : £29,853 – £33,600

Timescale of Appointment: fixed term contract for 2 years.

Further details and an application form can be found at:

Alternatively you can telephone (0117) 954 6947,
minicom (0117) 928 8894 or email: Recruitment(at),
quoting reference number 15239.