Limited-Term Appointments in Mathematics and Statistics

The Department of Mathematics and Statistics at Concordia University in Montreal, Quebec, invites applications for up to five limited-term appointments as follows: two (2) positions in the area of Mathematics (analysis, differential equations, computational algebra, numerical analysis, or optimization); two (2) positions in the areas of Probability/Statistics; and one (1) position in the area of Actuarial Mathematics. Requirements include relevant teaching experience and a completed or nearly completed PhD in the appropriate discipline.

Applications should consist of a cover letter, a current curriculum vitae, a statement of teaching philosophy/interests, and evidence of teaching effectiveness. Evidence of teaching effectiveness is the key attribute by which qualified candidates are ranked. Candidates should arrange for three letters of reference to be sent directly to:

Dr. Yogendra Chaubey, Chair
Dept. of Mathematics & Statistics
Concordia University
1455 de Maisonneuve Blvd. W.
Montreal, Qc. H3G 1M8

These positions are subject to budgetary approval and department/unit need. Individuals holding limited-term appointments may be granted a subsequent appointment, given continued funding and need, as well as satisfactory job performance. Together, initial appointments and subsequent appointments may not exceed 36 months or a span of three consecutive years. They are normally at the rank of Lecturer or Assistant Professor, beginning August 1, 2017 and ending May 14, 2018. Successful candidates will normally be expected to teach three courses per semester.
All inquiries should be directed to Dr. Chaubey at Review of applications will begin as they are received and will continue until the required positions have been filled. All applications should reach departments no later than March 10, 2017.

All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents of Canada will be given priority. Concordia University is committed to employment equity.

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