[CITAMS] Tenure-track position: Assistant Professor – Business Intelligence and Predictive Data Science

UTM ICCIT iccit.utm at utoronto.ca
Wed Sep 27 10:47:49 EDT 2017

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<http://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<mailto: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

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