Postdoc in Feature Selection / Ensemble Learning at Manchester

Applications are invited for a 2 year postdoc position at the University
of Manchester, hosted in the Machine Learning and Optimization group,
working with Dr Gavin Brown.

The post is to work in the area of feature selection/extraction in
environments exhibiting concept drift. A potential direction is to
construct and maintain small, interpretable rule-sets (ensembles) which
have high predictive / explanatory power, under shifting data
distributions. Our current focus is on information theoretic methods,
though other well-founded approaches are welcomed.

The precise direction of the work is not set in stone, so stronger
candidates will be afforded a degree of research independence.

The successful candidate will have expertise in one or more of the
following areas:

– information theory,
– feature selection/extraction,
– ensemble learning,
– rule ensembles (e.g. Friedman et al)
– rule extraction/mining
– concept drifting problems

Interested candidates should mail Gavin Brown, with:

– your full academic CV in PDF format.
– your two best publications
– two reference letter(s) from appropriate academic sources

Applications close : 10th December
Interview invites : 17th December
Interviews : Early January

Applications will close on 10th December, however CVs sent before this
date will be considered for early interview.

Relevant sites:
MLO Group : http://intranet.cs.man.ac.uk/mlo/
Gavin Brown : http://www.cs.manchester.ac.uk/~gbrown/