Postdoc in large scale machine learning

Machine Learning Group, School of Computer Science University of Manchester, UK

A 1-year postdoc position is available in the Machine Learning Group at the University of Manchester, under a team headed by Dr Gavin Brown.
The post is initially for 1 year, renewable for a further year at the discretion of the line manager, based on performance.
The team headed by Dr Gavin Brown focuses on feature selection and extraction from large-scale data, with particular emphasis on statistical (information theoretic) methods. The team has strong ties with the Advanced Processor Tech group in the School, collaborating on multi-core implementations of our algorithms. More information can be found at:

http://mlo.cs.man.ac.uk
http://www.cs.man.ac.uk/~gbrown

JOB DESCRIPTION

You will join a vibrant machine learning team working on information theoretic methods for large-scale feature extraction and selection.
The focus of the job will be adapted to the skills of the applicant. The areas of interest for the team are currently:

-feature selection/extraction filter methods -mutual information and entropy estimation (including non-Shannon) -semi-supervised and positive-unlabelled data sources -streaming data and very large data sources (1TB++) -GPU and multi-core programming methods (e.g. CUDA / Hadoop)

Your primary duty will be to publish high quality research in journal/conference outlets of interest to the group. The secondary duty will be to maintain and develop the software infrastructure for the group, mostly in Matlab/C/C++. Strong guidance will be initially provided, with more freedom allowed with proven ability in the above areas.

The post holder will be encouraged to interact strongly with the Advanced Processor Technologies Group, specifically the many-core systems team headed by Dr Mikel Lujan.

Essential qualifications
•educated to PhD level in Computer Science, with Machine Learning expertise, or for exceptional candidates in the right area, an MSc level qualification (distinction) will be considered.
•proven track record of publications in high quality outlets (e.g. ICML) •strong mathematical literacy in probability theory and linear algebra •strong programming skills, in Matlab/C/C++, ideally in a multi-core environment

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Informal enquiries should be made in the first case to Dr Gavin Brown, supplying (1) a full academic CV, (2) copies of two best relevant publications.
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