SL291487-Summer 2024-ENGG*6600 Intro to Artificial Intelligence (AI)

Sessional Lecturer Work Assignment
Sessional Lecturer, Unit 2
Academic Unit: 
School of Engineering
Semester(s) of Assignment(s): 
Summer 2024
Number of Available Work Assignment(s) / Sections: 
1
Level of Work Assignment(s): 
1
Right of First Refusal (RoFR)
A Sessional Lecturer holds a RoFR (i.e., for a particular course) if they have successfully taught the course in the past six (6) semesters. A SL who holds a RoFR to this course is required to exercise their right by way of the online hiring system. Also see: What is Right of First Refusal (RoFR)?
A Sessional Lecturer Currently Holds a Right of First Refusal for this Course: 
No
Course Details
Course Number: 
ENGG*6600
Course Name: 
Intro to Artificial Intelligence (AI)
Course Format: 
In-Class
Course Description: 
See Course Calendar
Other Course Description or Assignment Information: 
The University of Guelph has vaccination and masking policies that may be altered with limited notice depending on COVID-19 circumstances and advice from government, public health authorities, and prevailing science. Currently, the vaccination and masking policies are paused. With the evolving nature of the pandemic, public health measures may resume with little advance notice to address the health risks. Should this occur, vaccinations will be required. You can choose to submit proof of vaccination before your start date. The University of Guelph has a COVID-19 Vaccination Policy and provides more Information about COVID-19 for Faculty and Staff.
Projected Class Enrolment: 
30
Anticipated Duties and Responsibilities
Anticipated Duties and Responsibilities: 
Orientation-Training
Office Hours
Preparation
Student Consultation
Lecturing
Email Correspondence/Monitoring
Conducting Labs/Seminars
Invigilating Exams
Grading
Other Duties Described: 
Exam preparation and marking, including deferred exams as well as preparing and submitting course marks
Qualifications
Required Qualifications
Degree: 
PhD related to field
N/A
Prior Teaching Experience: 
Other
Minimum TA experience in similar course
Required competence, capability, skill and ability related to course content: 
The successful candidate will have a minimum of a PhD degree in either Computer Science or Computer or Systems or related engineering discipline. Successful completion of AI or equivalent course during a graduate degree or demonstrated research experience in AI.
Preferred Qualifications
Degree: 
PhD related to field
N/A
Specific Preferred competence, capability, skill and ability related to course content: 
The successful candidate will preferably have a Ph.D. degree in Computer Science or Computer/ Systems or related engineering discipline. The candidate will be extremely familiar with the course content of AI. Recent research activity in related field demonstrating knowledge of current developments in course content
Days Required and Wages
Days and Times Required: 
Fridays 2:30 - 5:20pm
Period of the Work Agreement (Start Date and End Date): 
May 7, 2024 to August 21, 2024
Wages (per semester, per full-load): 
minimum $7,758.48 (effective 2022/23)
Other Posting Information
Application Deadline (All postings will automatically expire at 11:59 pm on this day): 
Monday, April 15, 2024
Posting Email Contact: 
soe3913@uoguelph.ca
Hiring Contact Information: 
Ibrahim Deiab, Associate Director of Graduate Studies, ideiab@uoguelph.ca, 519-824-4120 ext. 58391, RICH 2521

At the University of Guelph, fostering a culture of inclusion is an institutional imperative. The University invites and encourages applications from all qualified individuals, including from groups that are traditionally underrepresented in employment, who may contribute to further diversification of our Institution. For more information, the Office of Diversity and Human Rights (DHR) is a welcoming, safe and confidential one-stop shop for information, training and support on issues relating to diversity and human rights on our campus.
SL work assignments are unionized with CUPE3913 and their terms and conditions of work are covered by the Unit 2 Collective Agreement between the University and CUPE 3913 (email contact: president@cupe3913.on.ca).

All applicants must be eligible to work in Canada specifically at the University of Guelph before applying for an academic work assignment. All successful applicants must reside in Ontario and must be able to attend on-campus in-person meetings as required