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Fwd: [cmath] Tenure-Track Position in Big Data/Data Science - University of Saskatchewan


From: "Alan Kelm" <akelm@cms.math.ca>
To: "CMath E-Mail Distribution List" <cmath@cms.math.ca>
Sent: Wednesday, 26 October, 2016 12:58:59
Subject: [cmath] Tenure-Track Position in Big Data/Data Science - University        of Saskatchewan

Tenure-Track Position in Big Data/Data Science

The Department of Computer Science and the Department of Mathematics and Statistics in the College of Arts and Science at the University of Saskatchewan invite applications for a joint tenure-track position in the area of Big Data/Data Science at the Assistant Professor level effective July 1, 2017.

Applicants for this joint tenure track-position should have a PhD. Candidates will have demonstrated excellence or show promise of excellence in teaching and graduate supervision, and will be expected to develop a vigorous, externally-funded research program that complements the research programs of the two departments, and to teach in both units. Prospective candidates are encouraged to visit the departmental websites (http://www.cs.usask.ca/ and http://artsandscience.usask.ca/math/) for details.

The College of Arts and Science offers a dynamic combination of programs in the sciences, social sciences, humanities, and fine arts. There are over 10,000 students in the College, and 295 faculty, including 12 Canada Research Chairs. The College emphasizes student and faculty research, interdisciplinary programs, community outreach and international opportunities. The successful candidate will have opportunities to collaborate with the Global Institute for Food Security, the Global Institute for Water Security, and other research centers that generate huge datasets and seek innovative ways to perform effective, large scale analysis.

The University of Saskatchewan is located in Saskatoon, Saskatchewan, a city with a diverse and thriving economic base, a vibrant arts community and a full range of leisure opportunities. The University, a member of the U15 group comprising Canada's leading research-intensive universities, has a reputation for excellence in teaching, research and scholarly activities and offers a full range of undergraduate, graduate, and professional programs to a student population of over 23,000.

Information about the University, the College, the Department and the city of Saskatoon can be found at www.usask.ca, http://tourismsaskatoon.com and http://www.downtownsaskatoon.com.

Salary Bands (July 1, 2016 – June 30, 2017):

Assistant Professor    $93,293 (floor) to $112,109 (CDI ceiling)


This position comes with a comprehensive benefits package which includes pension plan, life insurance (compulsory and voluntary), sick leave, travel insurance, death benefit, dental plan, extended health and vision care plan, employee assistance program, and flexible health and wellness spending program.

Application Procedure:

Application material for the position should be submitted online through MathJobs (http://www.mathjobs.org/jobs/jobs/9525). It should include a cover letter, a curriculum vitae, a research statement, a teaching dossier, the AMS Standard Cover Sheet, and at least three letters of reference submitted directly by the writers, one of which should include detailed comments on the teaching abilities of the applicant.

Closing date for applications is January 31, 2017.

Additional inquiries may be sent by email to: eric.neufeld@usask.ca and raj@math.usask.ca

The University of Saskatchewan is strongly committed to a diverse and inclusive workplace that empowers all employees to reach their full potential.  All members of the university community share a responsibility for developing and maintaining an environment in which differences are valued and inclusiveness is practiced.  The university welcomes applications from those who will contribute to the diversity of our community.  All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority.

This employment posting is among those listed in the Employment section of the CMS website:

Attachment: usask-bigdata.pdf
Description: Adobe PDF document