Post-doctoral Research Fellow

University of Technology

STATISTICS POST-DOCTORAL RESEARCH FELLOW
POSITION AT UNIVERSITY OF TECHNOLOGY, SYDNEY

A post-doctoral fellow position in statistical methodology, theory and computing is available for commencement on of after mid-2011.

The position is funded by the Australian Research Council Discovery Project:

FAST APPROXIMATE INFERENCE METHODS FOR FLEXIBLE REGRESSION

Chief investigators: Prof Matt Wand, Dr John Ormerod
Partner investigator: Prof Michelle Wang

Length of position: 3 years

Location: School of Mathematical Sciences, University of Technology, Sydney, City Campus (Broadway), Sydney, New South Wales, Australia

Essential criteria:

Doctoral degree in Statistics.

Familiarity with the R computing environment.

Desirable criteria:

Familiarity with hierarchical Bayesian models.

Familiarity with the BUGS computing environment.

Familiarity with C and/or Fortran programming.

Track record of published work in the English language.

A feeling for the type of work to be undertaken can be obtained from inspection of the manuscripts featuring both author names 'Ormerod' and 'Wand' on http://www.maths.usyd.edu.au/u/jormerod

Sydney is a cosmopolitan city with a mild climate, spectacular geography and a myriad of dining and entertainment options. The following web-sites provide information on life in Sydney: http://www.sydney.com.au http://www.sydneyaustralia.com http://www.sydney.com

The job location is a few minutes walk from Sydney's Central Railway Station. This provides a convenient link to the areas of Sydney served by its extensive railway network (http://www.cityrail.info/stations/network_map).

Applications should be submitted through the University of Technology, Sydney, jobs web-site:

http://www.jobs.uts.edu.au

using job reference number: R130311

CLOSING DATE: 2nd May, 2011

If you require further information on the position contact Professor Matt Wand via matt.wand@uts.edu.au

University of Technology, Sydney
CRICOS Provider No. 00099F