Postdoctoral Position in Machine Learning and Bioinformatics University of Bristol, United Kingdom

We are seeking to appoint an outstanding postdoctoral researcher, interested in machine learning and bioinformatics, for a 3 year fixed term contract position. Based in the Intelligent Systems Laboratory, University of Bristol, United Kingdom, you will be interested in the development and application of machine learning methods to the interpretation of biomedical datasets.
Within this project we will devise novel and use established methods from modern machine learning including Bayesian techniques and probabilistic graphical methods, kernel-based methods and other approaches. We are keen to develop active learning approaches in which bioinformatics methods are used to infer maximally informative biological experiments with the results in turn used to improve a hypothesis. Algorithm development will be pursued with Dr. Colin Campbell of the Intelligent Systems Laboratory. Our main collaborators on the biological side are Prof. David Murphy and Dr. Charlie Hindmarch of the Henry Wellcome Laboratories for Integrative Neuroscience, University of Bristol, who have an interest in understanding the hypertensive state in humans. Apart from using bioinformatics methods to highlight the role of particular genes in this condition, they are interested in understanding and mapping regulatory pathways.
Thus, the candidate may also have some interest in network inference, both using unsupervised and supervised methods.
Eligible candidates should ideally have a background in machine learning, statistics or bioinformatics and should have excellent mathematical and computational skills.

This post is hosted within the Intelligent Systems Laboratory (the ISL) of the University of Bristol. The ISL has 16 staff members and about
50 postdoctoral researchers and research students and pursues a broad programme of research across machine learning and related disciplines.

Informal enquiries can be made to Dr Colin Campbell:
Tel: +44 (0)117-33-15620

The successful applicant for this vacancy may be appointed either on a fixed term or a permanent contract depending on the extent of their previous relevant research experience, in line with the University’s Fixed Term Contract Agreement. Further information can be found at

Job number: ACAD100154
Division/School: Merchant Venturers’ School of Engineering Contract type: Fixed-term contract staff Working pattern: Full time
Salary: £34223 – £38522
Funder: EPSRC
Closing date for applications: 20-Jan-2013

Full details are at:
using job number reference: ACAD100154

and direct link: