UNIVERSITY OF WATERLOO
DEPARTMENT OF STATISTICS AND ACTUARIAL SCIENCE

Statistics and Actuarial Science at the University of Waterloo (UW) invites applications for a tenured appointment as a Full Professor in Survey Sampling. The successful candidate will be a visionary leader, internationally recognized as a leading statistical scientist, and have an established record of scholarship. He or she will be expected to play a leadership role in the Department and UW through dissemination of research, graduate student supervision, and active involvement in the International Tobacco Control project led by Professor Geoffrey Fong of Psychology.

The Department at UW is one of the leading academic units for statistical and actuarial sciences in the world, with more than 40 full-time faculty and nearly 150 graduate students. Departmental strengths in statistics cover a wide range of topics, including statistical learning, the analysis of longitudinal and life history data, cluster-randomized studies, data mining and visualization, missing data, survey methods, clinical trials, computational methods, quality improvement, and interdisciplinary collaborative work.

Interested candidates with a strong track record in research, graduate student supervision, and leadership are encouraged to apply for this senior position. Applicants should have a PhD in Statistics or a closely related discipline. The salary offered will be commensurate with qualifications and experience. The closing date for applications is December 31, 2010, although the search will continue until a suitable candidate has been identified.

Please submit a curriculum vitae, and arrange for at least three letters of reference to be sent directly to

Professor David E. Matthews, Chair
Statistics and Actuarial Science
University of Waterloo
Waterloo ON N2L 3G1, CANADA

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. The University of Waterloo encourages applications from all qualified individuals, including women, members of visible minorities, native peoples, and persons with disabilities.