[Air-L] Job: Assistant Professor, Business Intelligence & Predictive Data Science, University of Toronto Mississauga

[Leslie Shade]

*Assistant Professor – Business Intelligence and Predictive Data Science*

*Job Field*: Tenure Stream

*Faculty / Division:* University of Toronto Mississauga

*Department*: UTM: Institute of Communication, Culture, Information and
Technology

*Job number*: 1701275

*Job Closing*: Nov 1, 2017

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, 2018.



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 innovative 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 or a research pipeline that is at high
international levels; and strong recommendations from referees of
international standing. Evidence of excellence in teaching is also required
as evidence by a teaching dossier outlining experience and accomplishments
(including a teaching statement and course evaluations), and strong letters
of reference. 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 three
undergraduate programs: Communication, Culture, Information and Technology,
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
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
https://www.utm.utoronto.ca/management/welcome-department-management.



To be considered for this position, all application materials must be
submitted online by *November 1, 2017. *Submission guidelines can be found
at  http://uoft.me/how-to-apply
<http://careers.hrandequity.utoronto.ca/taleo-help/>.



Applications must include the documents listed below, formatted as 3
attachments with naming convention
JobNumber_LastnameFirstname_CV_Statement.pdf,
JobNumber_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
theses)
*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
<iccit.utm at utoronto.ca?subject=Assistant%20Professor%20--Business%20Intelligence%20and%20Predictive%20Data%20Science%20%281701275%29>
by *November 1, 2017*. Review of applications will begin after November 1,
2017. 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://careers.hrandequity.utoronto.ca/help/applying-for-a-position/#survey>.




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



Please apply on University of Toronto website:
https://utoronto.taleo.net/careersection/10050/jobdetail.ftl?job=1701275