[CITAMS] Assistant Professor of Business Intelligence and Predictive Data Science (University of Toronto Mississauga)

UTM ICCIT iccit.utm at utoronto.ca
Wed Sep 21 12:04:46 EDT 2016

Assistant Professor - Business Intelligence and Predictive Data Science
Institute of Communication, Culture, Information and Technology & Department
of Management


The Institute of Communication, Culture, Information and Technology (ICCIT)
and the Department of Management at the University of Toronto Mississauga
(UTM) invite applications for a tenure-stream appointment in the area of
Business Intelligence and Predictive Data Science at the rank of Assistant
Professor. The position will be held 51% at the ICCIT and 49% at Management.
The position start date is July 1, 2017. 


Candidates are expected to have a program of research and experience focused
on computational data analytics especially as it applies to business
intelligence and analytic techniques relevant to organizations. Areas of
specific interest can include the use and consequences of large data sets
for: predictive computation of consumption behavior; modeling enterprise
information; corporate policy-making; and the delivery of business services.
Research areas may include, but are not limited to, the following: big data
and communication; digital enterprise analytics; customer/consumer based
analytics; market segmentation modeling; applied econometrics; cloud-based
analytics; operational modeling; and supply-chain management. Theoretical
and methodical approaches to research should be commensurate with
applicants' teaching and fields of expertise.


Candidates must have a PhD in one of the following areas: data analytics;
communication; information technology management; computational social
science; economics; business administration; or a related field by the time
of appointment or shortly thereafter. They must also show evidence of
excellence in research as demonstrated by an active research program that
contributes to business intelligence; analytical and predictive data
science; an emerging reputation in research with demonstrated ability to
attract external research funding; publications in top-tier peer reviewed
journals; and strong recommendations from referees of international
standing. Evidence of excellence in teaching (including a teaching dossier
outlining experience and accomplishments and strong letters of reference) is
also required. The successful candidate will have a graduate appointment in
one of the University of Toronto's tri-campus graduate departments. Salary
will be commensurate with qualifications and experience. 


ICCIT focuses on teaching and research excellence in its four undergraduate
programs: Communication, Culture, Information and Technology, Interactive
Digital Media, Digital Enterprise Management and Professional Writing and
Communication. ICCIT is building a research complement in critical
communication, interactive and immersive digital media and culture, the
theory and practice of communication; and new media design. The successful
applicant will join a vibrant intellectual community of world-class scholars
at Canada's leading university. For information, please visit
<http://www.utm.utoronto.ca/iccit> www.utm.utoronto.ca/iccit.


The Department of Management prides itself on educating and preparing
students for leadership positions in the world of business.  The successful
candidate will be part of a strong culture of research and graduate and
undergraduate management education with the following programs: Master of
Management of Innovation; Master of Management & Professional Accounting;
Diploma in Investigative & Forensic Accounting; Master of Science in
Sustainability Management; Master of Biotechnology; B.Com., BBA and HBA
(Management). For further information please visit


To be considered for this position, all application materials must be
submitted online by November 21, 2016. To apply, visit:
Submission guidelines can be found at  <http://uoft.e/how-to-apply>


Applications must include the documents listed below, formatted as 3
attachments with naming convention LastnameFirstname_CV_Statement.pdf,
LastnameFirstname_Writing.pdf, etc.: 


Attachment 1: Cover Letter, CV and Research Statement
Attachment 2: Writing Sample (ONE peer-reviewed, first- or sole-author
scholarly work demonstrating significant contribution to field of Business
Intelligence and Predictive Data Science; do not submit entire doctoral
Attachment 3: Teaching Dossier (Max. 20 pages, may include list of courses
taught, sample syllabi, course evaluation data summary, statement of
teaching philosophy, etc.)


Applicants must have three referees send letters of recommendation directly
to Professor Anthony Wensley, ICCIT Director, University of Toronto
Mississauga via email (on letterhead, signed and scanned) to
iccit.utm at utoronto.ca
<mailto:iccit.utm at utoronto.ca?subject=Assistant%20Professor%20-%20Business%2
0Intelligence%20and%20Predictive%20Data%20Science%20(1601387)>  by November
21, 2016. See submission guidelines at http://uoft.me/how-to-apply.


Review of applications will begin after November 21, 2016. All application
materials, including letters of reference, must be received by this date to
be considered during the first round of review. However, the position will
remain open until filled.


The University of Toronto is strongly committed to diversity within its
community and especially welcomes applications from racialized persons /
persons of colour, women, Indigenous / Aboriginal People of North America,
persons with disabilities, LGBTQ persons, and others who may contribute to
the further diversification of ideas.


As part of your application, you will be asked to complete a brief Diversity
Survey. This survey is voluntary. Any information directly related to you is
confidential and cannot be accessed by search committees or human resources
staff. Results will be aggregated for institutional planning purposes. For
more information, please see  <http://uoft.me/UP> http://uoft.me/UP. 


All qualified candidates are encouraged to apply; however, Canadians and
permanent residents will be given priority.




Joanna Mackie

Assistant to the Director, ICCIT


Office of the Director
Institute of Communication, Culture, Information and Technology (ICCIT)

3014A CCT Building

University of Toronto Mississauga

3359 Mississauga Rd 

Mississauga, ON L5L 1C6

P: 905-569-4489

F: 905-569-4734

E:  <mailto:iccit.utm at utoronto.ca> iccit.utm at utoronto.ca


If you have an accommodation need for a planned meeting due to a disability,
please email me directly and I will do my best to make appropriate


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