*Assistant Professor – Data, Analytics and the City * *Job Field*: Tenure Stream *Faculty / Division:* University of Toronto Mississauga *Department*: UTM: Institute of Communication, Culture, Information and Technology *Job number*: 1701276 *Job Closing*: Nov 1, 2017, 11.59pm EST The Institute of Communication, Culture, Information and Technology (ICCIT) at the University of Toronto Mississauga invite applications for a tenure-stream appointment in the area of Data, Analytics and the City, at the rank of Assistant Professor. The position start date is July 1, 2018. Successful candidates will have a focus on the application of advanced computational methods to analyze large and complex urban issues. The candidate’s methodological approach may include but is not limited to the following: spatial statistics, geometrics and/or mapping, network analysis, and automated textual analysis. The candidate’s research should further address at least one of the following areas within metropolitan contexts: social policy, public culture, social software design, social inequality, e-citizen engagement/participation, or social justice. Applicants must have a Ph.D. degree in communication, computer science, geography, political science, computational social science, or a related field, by date of appointment or shortly thereafter, and demonstrate excellence in research and teaching. Excellence in research will be demonstrated through publications in leading journals or a research pipeline that is at high international levels, presentations at competitive conferences, awards, and strong endorsements by referees of top international stature. Excellence in teaching will be demonstrated through teaching accomplishments, strong letters of reference and the teaching dossier (that includes a teaching statement and evaluations) submitted as part of the application. 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 <https://www.utm.utoronto.ca/iccit/institute-communication-culture-information-and-technology> . 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. 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 Data, Analytics and the City; 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@utoronto.ca <iccit.utm@utoronto.ca?subject=Assistant%20Professor%20--Data,%20Analytics%20and%20the%20City%20%281701276%29> by the closing date, * November 1, 2017*. 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 the University of Toronto website: https://utoronto.taleo.net/careersection/10050/jobdetail.ftl?job=1701276 ------------- *Associate Professor – Data, Analytics and the City* *Job Field *: Tenure Stream *Faculty / Division:* University of Toronto Mississauga *Department*: UTM: Institute of Communication, Culture, Information and Technology *Job number*: 1701353 *Job Closing*: Nov 1, 2017 11:59pm EST The Institute of Communication, Culture, Information and Technology (ICCIT) at the University of Toronto Mississauga invite applications for a tenure-stream appointment in the area of Data, Analytics and the City, at the rank of Associate Professor. The position start date is July 1, 2018. Successful candidates will have a focus on the application of advanced computational methods to analyze large and complex urban issues. The candidate’s methodological approach may include but is not limited to the following: spatial statistics, geometrics and/or mapping, network analysis, and automated textual analysis. The candidate’s research should further address at least one of the following areas within metropolitan contexts: social policy, public culture, social software design, social inequality, e-citizen engagement/participation, or social justice. Applicants must have a Ph.D. degree in communication, computer science, geography, political science, computational social science, or a related field, and must demonstrate a record of excellence in research and teaching. Successful applicants will have an established reputation in the field and have an active record of publication. Excellence in research will be demonstrated through sustained contributions and publications in leading journals, presentations at competitive conferences, awards, and strong endorsements by referees of top international stature. The successful candidate will be expected to conduct innovative research at the highest international level and to maintain an outstanding, externally funded research program. Excellence in teaching is also required as demonstrated through teaching accomplishments, strong letters of reference and the teaching dossier (including a teaching statement and course evaluations) submitted as part of the application. Successful candidates will have demonstrated administrative experience at the program, department, and/or unit level within a university, and must be experienced in mentoring graduate students, junior researchers and/or professionals. 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 <https://www.utm.utoronto.ca/iccit/institute-communication-culture-information-and-technology> . 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. 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 Data, Analytics and the City; 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@utoronto.ca <iccit.utm@utoronto.ca?subject=Associate%20Professor%20--Data,%20Analytics%20and%20the%20City%20%281701353%29> by the closing date, * November 1, 2017*. 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 the University of Toronto website: https://utoronto.taleo.net/careersection/10050/jobdetail.ftl?job=1701353