Assistant Professor, Teaching Stream CLTA Computer Science

Assistant Professor, Teaching Stream - Contractually Limited Term Appointment (CLTA) - Computer Science - 1602041 

The Department of Computer and Mathematical Sciences at the University of Toronto Scarborough invites applications for two 3-year contractually limited term appointments in the field of Computer Science.  The appointments will be at the rank of Assistant Professor, Teaching Stream and will commence on July 1, 2017, ending on June 30, 2020.

Candidates must hold a graduate degree in Computer Science or a closely related field by the time of the appointment, and have experience in teaching at the university level and experience with the use of innovative pedagogical methods.  Candidates must demonstrate excellence in teaching, strong communication and interpersonal skills, a commitment to students’ learning, and the skills required to achieve this goal through excellent teaching.  Evidence of excellence in teaching can be demonstrated through outstanding teaching evaluations, teaching awards/accolades, a coherent statement of teaching philosophy that is linked to evidence of excellent pedagogical practices, strong endorsements from referees, teaching accomplishments highlighted as part of the application, teaching evaluations, and/or syllabi, as well as the teaching dossier submitted as part of the application. A strong background in software engineering and computer systems is preferred.

The successful candidate will join a vibrant group of teaching-stream faculty who are engaged in pedagogical and curricular innovations and research.  Faculty are expected to combine their expertise in the discipline with best practices in teaching to create rich learning environments that embrace diversity, promote equity, and integrate research in a manner that challenges students to develop skills and ethics to be leading citizens.

The appointment is at the University of Toronto Scarborough, which is a research-intensive institution with an interdisciplinary commitment and a multicultural student body. Duties include teaching undergraduate courses, managing teaching assistants, developing course materials, curriculum development, running course related software, and working closely with the Department of Computer Science in the Faculty of Arts and Science to ensure year-to-year consistency in course content.   Candidates must be able to teach some or all courses in the evenings if deemed necessary by the department.  In addition to teaching, the successful candidate will be expected to perform standard professional and administrative activities typical of an academic department, and to collaborate with colleagues on program development.

Salary will be commensurate with qualifications and experience.

Applicants should apply online through AcademicJobsOnline, https://academicjobsonline.org/ajo/jobs/8798.  Applications will include a curriculum vitae, teaching dossier (including statement of teaching philosophy, course outlines, course evaluations, and selected course materials), along with the names and email addresses of at least three referees. Applicants should arrange to have at least three letters of reference uploaded through Academic Jobs Online directly by the referees.  To receive full consideration, applications should be received by the closing date of February 21, 2017.

For more information about the Department of Computer and Mathematical Sciences, please visit our home page at http://www.utsc.utoronto.ca/cms/.  If you have any questions regarding this position, please contact Katheleene Smith (ka.smith@utoronto.ca).

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.

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