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Canadian Association of University Teachers
Association canadienne des professeures et professeurs d'université

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Assistant Professor, Teaching Stream - Computer and Data Science

University of Toronto

Assistant Professor, Teaching Stream – Computer and Data Science - 2000236

Job Field: Teaching Stream,
Faculty / Division: Faculty of Applied Science and Engineering
Department: Mechanical & Industrial Engineering
Campus: St. George (downtown Toronto)

Job Closing: March 31, 2020, 11:59pm EST

Description

The Faculty of Applied Science and Engineering at the University of Toronto invites applications for a continuing teaching stream appointment in the field of computer and data science. The appointment will be to the Department of Mechanical & Industrial Engineering at the rank of Assistant Professor, Teaching Stream, with an expected start date of July 1, 2020, or shortly thereafter. The successful candidate will teach introductory and advanced courses in programming, data science, and related areas, primarily to students enrolled in the Faculty’s Engineering Science program.

Applicants are expected to have a PhD in engineering, computer science, statistics, data science, or a related field at the time of appointment or soon after. We seek candidates whose teaching interests complement and strengthen our existing departmental strengths in the Department of Mechanical & Industrial Engineering and the Division of Engineering Science. They must have a demonstrated balance of theoretical and practical skills, knowledge, and experience in computer science and data science with experience applying computer and data science across multiple engineering and non-engineering domains, and an interest in integrating engineering and design principles into computer and data science practice.

Candidates must have a demonstrated record of excellence in teaching and pedagogical inquiry, and have undergraduate teaching experience that includes lecture preparation and delivery, assessment, and broader curriculum development. Candidates must show a commitment to improving their pedagogical practices, and a record of teaching-related scholarly activities.

Evidence of excellence in teaching and pedagogical inquiry can be demonstrated through teaching accomplishments, awards and accolades, presentations at significant conferences, the teaching dossier submitted as part of the application including a strong teaching statement, sample syllabi, course materials, teaching evaluations, and teaching-related scholarly activity, as well as strong letters of reference from referees of high standing.

Applicants must have, or be eligible for, registration as a Professional Engineer in Canada.

Salary is commensurate with qualifications and experience.

Engineering Science is an accredited undergraduate engineering program within the Faculty of Applied Science and Engineering at the University of Toronto. The Division of Engineering Science is the administrative unit responsible for this program and has a world-renowned reputation for innovative engineering pedagogy that integrates theoretical rigour with engineering practicality. Students in Engineering Science take two years of a Foundation curriculum followed by two years of a discipline-specific Major curriculum. The successful applicant will teach computer science courses in the Foundation curriculum and will support and contribute to the ongoing development of existing and new data science-related courses in the Majors. For information about the Engineering Science program please visit: engsci.utoronto.ca.

The Faculty of Applied Science and Engineering offers opportunities for collaborative and interdisciplinary research and teaching, and the excitement of working with a diverse student population. Established in 1873, the Faculty of Applied Science and Engineering has earned an international reputation for excellence in education and knowledge creation and is known as a forward-thinking resource to address global concerns. The Department of Mechanical & Industrial Engineering is home to the top mechanical and industrial engineering programs in Canada and is involved with the delivery of courses in the Engineering Science Machine Intelligence and Robotics Majors. For more information about the Faculty of Applied Science and Engineering, please visit: engineering.utoronto.ca, and for more information about the Department of Mechanical & Industrial Engineering, please visit mie.utoronto.ca.

As the economic and intellectual hub of Canada, Toronto provides access to leading policy and decision makers at all levels, and is a vibrant, cosmopolitan and safe city.

All qualified candidates are invited to apply by clicking on the link below. Applications must include: 1. A cover letter and detailed curriculum vitae; 2. A teaching dossier, including a statement of teaching philosophy and interests, sample syllabi and course materials, teaching evaluations, teaching accomplishments, and teaching-related scholarly activities. Submission guidelines may be found at http://uoft.me/how-to-apply. It is recommended that attached documents be combined into one or two files in PDF/MS Word format.

https://utoronto.taleo.net/careersection/10050/jobdetail.ftl?job=2000236&tz=GMT-05%3A00&tzname=America%2FToronto

Applicants must also arrange for three letters of reference (signed and on letterhead) to be sent by referees directly to the University by the closing date. These letters should comment specifically on the applicant’s teaching experience and expertise, and suitability for a teaching stream faculty position. These letters must be sent to: director.engsci@utoronto.ca.

All application materials, including reference letters, must be received by March 31, 2020.

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.

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