Behavioural Neuroscience II

University of Guelph; Guelph; Vor Ort; CAD 28.000 - 41.000; Teilzeit

Zusammenfassung

University of Guelph invites applications for Teaching Assistant work assignments for Winter 2027 in PSYC*3410 Behavioural Neuroscience II. Roles include labs, grading, and student consultations, with in-person instruction and office hours conducted under CUPE 3913 Unit 1 terms.

Applicants must be enrolled in a masters or doctoral program (NACS) and have a strong background in Neuroanatomy. Start January 7, 2027, end May 7, 2027, with opportunities depending on departmental needs and course

Qualifikationen

• Must be currently enrolled in a masters or doctoral degree program
• NACS student
• Practical or applied experience related to course content
• A strong background in Neuroanatomy

Aufgaben

• Orientation-Training
• Office Hours
• Preparation
• Student Consultation
• Conducting Labs/Seminars
• Meetings
• Invigilating Exams
• Grading

Kenntnisse

Neuroanatomy

Practical experience

Ausbildung

NACS student

Masters or PhD student

Jobbeschreibung

for Teaching Assistants, Graduates Service Assistants & Sessional Lecturers

TA400301- Winter 2027-PSYC*3410 Behavioural Neuroscience II

Teaching Assistant Work Assignment

Type of Work Assignment and Bargaining Unit:

GTA, Unit 1

Academic Unit:

Semester(s) of Assignment(s):

Winter 2027

This Work Assignment(s) may be assigned to fulfill the terms and conditions of a guaranteed Job Security Period:

Some

Course Number:

PSYC*3410

Course Name:

Course Format:

In-Person

Course Description:

See Course Calendar

175

Level of Appointment for GTA, GSA-1 UTA(s)

The following is an estimate of number and levels of available appointments at the time of posting. This may change (increase or decrease) at the time of assignment contingent on departmental needs.

This Posting includes Multiple Work Assignments:

Yes

Number of Available 0.25 (35 hour) Work Assignments:

0

Number of Available 0.5 (70 hour) Work Assignments:

0

Number of Available 0.75 (105 hour) Work Assignments:

0

Number of Available Full 1.0 (140 hour) Work Assignments:

5

Total Number (Load) of Assignment(s) Available:

5

Duties and Responsibilities

Anticipated Duties and Responsibilities:

• Orientation-Training
• Office Hours
• Preparation
• Student Consultation
• Conducting Labs/Seminars
• Meetings
• Invigilating Exams
• Grading

Other Duties Described:

Invigilating Exams, midterm(s) and/or final, including in person, as required by the course.

Qualifications

Required Qualifications:

Must be currently enrolled in a masters or doctoral degree program NACS studentPractical or applied experience related to course content NACS student, A strong background in Neuroanatomy

Days Required and Wages

Days and Times Required:

As per posting/see WebAdvisor

Period of the Work Assignment (Start Date and End Date):

January 7, 2027 to May 7, 2027

Wage Rate (per hour, per semester, per Full-load 1.0 Work Assignment):

Other Posting Information

Application Deadline (All postings will automatically expire at 11:59 pm on this day):

Monday, November 2, 2026

Posting Email Contact:

Hiring Contact Information:

Department of [e-mail]

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.

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 perform their work in Ontario and must be able to attend on-campus in-person meetings as required.

Teaching Assistant work assignments are unionized with CUPE 3913 and their terms and conditions of work are covered by the Unit 1 Collective Agreement between the University and CUPE 3913 (email contact: [e-mail]).

The use of AI to perform job responsibilities must be directed by or approved beforehand in writing by the supervisor or course instructor.