implementation of novel mixture model-based techniques for clustering and classification that are being developed within the group. Join a vibrant research group which specializes in the development of novel clustering and classification methodologies.
At: U. of Guelph, Dept. of Math & Statistics
Location: Guelph, ON, Canada
Web: www.uoguelph.ca/~pmcnicho/index.html
Supervisor: Dr Paul McNicholas, Associate Professor & University Research Chair.
Funding Sources: Early Researcher Award, Ontario Ministry of Research and Innovation. University Research Chair in Computational Statistics, University of Guelph.
Start Date: As soon as possible.
Duration: Initial one or two year appointment, renewable.
Salary Range: $38,000 to $45,000 gross, depending on experience
Overview:
An exciting opportunity exists for a Postdoctoral Research Fellow to join a vibrant research group in the Department of
Mathematics & Statistics at the University of Guelph. The group, which is led by Dr Paul McNicholas, specializes in the development
of novel clustering and classification methodologies and currently comprises two postdoctoral research fellows, nine doctoral
students, seven master's students, and four undergraduate research assistants.
Description:
The work involves the implementation of novel mixture model-based techniques for clustering and classification that
are being developed within the group. The most common approach is currently the EM algorithm but alternatives, such as
variational Bayes approximations, are also being worked on and will require implementation. While implementation is the focus of
this position, the successful candidate will also be expected to work on theoretical aspects of the algorithms under consideration.
Qualifications:
A PhD in Statistics, Computer Science, or a closely related field is required. The candidate will have demonstrated
research ability in at least one of the key areas - statistics and computer science - and will be an experienced and highly capable
programmer. The ability to write coarse-grain parallel code is an advantage but expertise in at least one low-level programming
language is essential. Excellent written and oral English language communication skills are crucial.
Application:
To apply, send a curriculum vitae including contact information for three referees who can speak to your research
abilities, a list of publications, a statement outlining your research activities, and a one-page description of your programming
abilities and experience to Dr McNicholas' research group manager, Sarah Fogler,
at sfogler@uoguelph.ca. Please indicate that
you are applying for position CSPM1.
Applications will be considered from July 11, 2011 until the position is filled
Dr Paul McNicholas, M.A., M.Sc., Ph.D.
email: paul.mcnicholas@uoguelph.ca
web: www.paulmcnicholas.info
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