The Quebec inter-University Centre for Social Statistics (QICSS) in conjunction with the Department of Applied Economics at HEC Montréal and the Labor Dynamics Institute at Cornell University, as part of the Productivity Partnership as funded by the Social Sciences and Humanities Research Council of Canada, announces a full-time Post-doctoral fellowship (PDF) for 2017-2018, with a possible extension to 2018-19. The post-doc can be awarded to a recent Ph.D. in Economics, Public Policy, Computer Science (with some social science background), Statistics (with some social science background) or related field.The PDF will work at the Centre for Data Development and Economic Research (CDER) at Statistics Canada.
Her/his position will involve working with Dr. Benoit Dostie (HEC), Dr. Lars Vilhuber (Cornell University) and Danny Leung (Statistics Canada) on developing and applying disclosure avoidance methods appropriate for complex economic microdata, in particular the use of synthetic data generation applied to longitudinal businesses, establishments, and their employees. Other duties will involve the broader goals of the Productivity Partnership research at CDER to explore the use of firm microdata to analyse productivity and incomes. This time will be split between helping other researchers and, if desired by the PDF, working on a project that she/he will propose. The PDF will be jointly supervised by Drs. Dostie, Vilhuber, and Leung.
The applicant must have strong quantitative skills, familiarity with confidentiality protection methods, familiarity with economic, business, or labor market and other relevant data, and a willingness to focus on applied confidentiality protection methods. Skills in SAS and R are an asset.The PDF will work onsite at Statistics Canada. The successful applicant will need to consent to a reliabilityscreening process that includes a background check, a criminal record check, and a credit check before being sworn in under the Statistics Act as a "deemed employee". Deemed employees are subject to all the conditions and penalties of regular Statistics Canada employees, including fines and/or imprisonment for breach of confidentiality. The acquisition of reliability status and the swearing-in under the Statistics Act are essential requirements for the PDF.