Founded in 1898, Northeastern is a global research university and the recognized leader in experience-powered lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus. Our locations—in Boston; the Massachusetts communities of Burlington and Nahant; Arlington, Virginia; Charlotte, North Carolina; London, UK; Portland, Maine; the San Francisco Bay Area; Seattle; Toronto; and Vancouver—are nodes in our growing global university system. Through this network, we expand opportunities for student-centered, industry-aligned learning and collaborative, solutions-focused research.
Northeastern University-Toronto is looking for key staff and faculty interested in building a career with a top North American research university. We are keenly interested in hiring energetic, self-motivated individuals for key roles in our emerging campus and academic programs.
Working at Northeastern University means being part of community which celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds community, which is vital to learning and discovery. Learn more about Northeastern’s employee benefits.
Northeastern University -Toronto is looking for a teaching assistant to help students in introductory courses in analytics. TA’s responsibilities may consist of the following:
-Attend course meetings and respond promptly to emails from the instructor.
-Be approachable, helpful, and familiar with the course content and assignments.
-Hold office hours and/or monitor an online discussion forum.
-Conduct tutorials or review sessions.
-Be prepared to answer questions about assignments and test questions.
-Discuss questions about the assignments with the course instructor as needed.
-Provide sufficient feedback. Ensure that your comments are tactful and constructive.
-Report any suspected academic integrity issues to the course instructor.
Time commitment is 5 hours per week for a 6-week course, with possibilities for renewal. The ideal candidate is currently enrolling in a Ph.D. program in a quantitative field.
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