Mathematics of Information Technology and Complex Systems


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STATISTICS CANADA/NICDS/MITACS RESEARCH INTERNSHIPS


Deadline: July 15, 2010

Statistics Canada, The National Institute for Complex Data Structures (NICDS) and MITACS announce up to three research internship positions at the Methodology Branch within Statistics Canada. Interested Ph.D. students who have already passed the comprehensive exams at a Statistics department of a Canadian university, or Postdoctoral students affiliated with a Statistics department of a Canadian university, are invited to send their applications (covering letter, CV, and Application Form for Internship) by July 15, 2010 to:

Dr. Georgia Roberts
Statistics Canada
15 "J" R.H. Coats Building
Tunney's Pasture
Ottawa, Ontario
K1A OT6
georgia.roberts@statcan.gc.ca

Applications forms can be downloaded here:

English version in Word English version in PDF French version in Word French version in PDF

Successful applicants will have the extremely valuable experience of working at Statistics Canada in Ottawa for a period of four to six months. The students will be involved in collaborative research with Statistics Canada and university researchers including their own supervisors. Research problems related to statistical methods for any stage of a complex survey will be considered, although of particular interest to Statistics Canada is the development of analytic tools for analysing longitudinal data arising from complex surveys. Some possible topics include: analysis of hierarchical survey data, structural equation modelling of survey data, small domain inference, analysis of duration data, and analysis of incomplete survey data. An experienced methodologist from the Methodology Branch will be assigned to work with each student during the stay at Statistics Canada. This collaboration will be mainly in the form of help for the more technical aspects of the doctoral dissertation, in helping with the handling of the data and in interpreting the results. Doctoral advancement and academic supervision would be the responsibility of the applicant and the thesis-supervising professor.