Tenure track position in Statistics (Big Data)
December 1, 2017
The Department of Mathematics and Statistics of Université Laval invites applications for a tenure track position in Statistics. Applications are welcome from specialists in any area of Statistics or Applied Probability with a solid expertise in Big Data. Candidates who will soon complete their PhD, as well as candidates who hold a PhD in a neighboring field (e.g., Computer Science) with a strong expertise in Statistics, are invited to apply. Hiring will normally be at the rank of assistant professor and the appointment would start in the summer of 2018.
About Université Laval
The Department of Mathematics and Statistics (DMS) is in the Faculty of Science and Engineering of Université Laval, one of the leading research universities in Canada. The DMS provides an excellent environment for research and teaching. It offers courses (taught in French) to students in our specialized programs in Mathematics and Statistics (Bachelor, Masters and PhD), in Biostatistics (Masters and PhD), as well as courses to students in Engineering, Education, etc. Researchers in Statistics are associated with some of the research centers at the University, including the Big Data Research Center, and a recently created center for modeling, the CIMMUL.
Université Laval is located in Quebec City, a UNESCO World Heritage Site and the capital of the province of Quebec. With over 40,000 students, the university is a stimulating working environment, at the heart of a metropolitan area of 800,000 inhabitants.
The successful candidate will be expected to
- recruit and supervise graduate students,
- engage in a productive research program,
- apply for funding from the major granting bodies,
- teach in French undergraduate and graduate Statistics courses (including large class service courses),
- contribute to the management and promotion of departmental programs,
- and more generally contribute to the development and day-to-day functioning of the Department.
- have obtained a PhD degree in Statistics, or an equivalent qualification, or hold a PhD in a neighboring area with a strong expertise in Statistics,
- demonstrate a strong expertise in Big Data, including the relevant use of appropriate computing tools,
- be able to propose an independent research program, with a component related to Big Data, for which the candidate could rapidly obtain adequate funding,
- demonstrate the potential to recruit and supervise graduate students in Statistics and to undertake collaborative research with researchers in Big Data, for instance with members of Université Laval’s Big Data Research Center,
- demonstrate the capacity and interest to teach many of our courses in Statistics, at the undergraduate and graduate levels, including large class service courses, as well as courses related to Big Data,
- demonstrate excellent pedagogical abilities for teaching large class service courses in Statistics as well as specialized courses in Statistics at the undergraduate and graduate levels,
- be able to teach in French or be able to do so within a year.
Applications must include a CV, three letters of reference (ideally including one addressing teaching experience or potential), an outline of research plans for the next three years (3 pages maximum), a teaching philosophy statement (2 pages maximum), and up to three recent articles (preprints or off-prints). The candidate should clearly indicate his/her level of French proficiency and comment on his/her capacity to become proficient within one year.
Application may be submitted through Mathjobs (https://www.mathjobs.org/jobs/jobs/10680), by e-mail (in pdf) to PosteStatistique@mat.ulaval.ca, or by regular mail to
Poste en statistique
Département de mathématiques et de statistique
1045, av. de la Médecine
Canada G1V 0A6
Applications must be received by December 1, 2017.
For more information, please contact the department chair, firstname.lastname@example.org.
As an employer committed to a diverse workplace, Université Laval encourages all qualified individuals to apply, particularly women, visible and ethnic minorities, aboriginal persons, and persons with disabilities. However priority will be given to Canadians and Canadian permanent residents. Salary is determined by the collective agreement.