Go to Main menuGo to Content
  • Campus :
  • Position Type :

Special Topics in Communications:ÿÿIntroduction to Statistical Learning ECE1508F
Teaching Assistant

Emergency Posting

Posting Date : September 08, 2017
Closing Date : Posting Expired


Duties

One of the TAs will be responsible for conducting weekly tutorials, grading problem sets and helping with programming assignments The second TA will beresponsible for grading of programming assignments, midterms and final project/exams.

Qualifications

Previous background in Machine Learning. Ideally should have been a TA for ECE521 or equivalent. Knowledge of Tensorflow is an Asset.

Details

Department
Department of Electrical and Computer Engineering
Course ID
ECE1508F
Campus
St. George
Salary
$43.65 per hour + 4% vacation pay x 60 hours
Course Enrollment
50
Dates of Appointment
Sept 18, 2017 to Dec 31, 2017
Number of Positions
2
Number of Hours
60
Tutorial/Lab Schedule
Various
How to Apply
Please send a detailed outline of your qualifications and experience with Machine Learning (course(s) taken and other experience) and Tensorflow to Professor Ashish Khisti at akhisti@ece.utoronto.ca with a copy to Jayne Leake at jayne.leake@utoronto.ca no later than September 13, 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.

    The University of Toronto invites all qualified applicants to make application.

    Positions posted here are open to Graduate Students in the School of Graduate Studies, Postdoctoral Fellows and Undergraduate Students in the University of Toronto.

    Preference in hiring shall be given to Graduate Students enrolled in the School of Graduate Studies of the University of Toronto or those who have made application to be enrolled in the School of Graduate Studies of the University of Toronto.

    The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission. The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities. If you require any accommodations at any point during the application and hiring process, please contact uoft.careers@utoronto.ca.

  • All jobs are posted in accordance with the CUPE 3902 Unit 1 Collective Agreement. It is understood that some announcements of vacancies are tentative, pending final course determinations and enrollment.

  • The Department's Hiring policy is available in the Department office and at the CUPE Local 3902 office.