Research Coordinator

Research Coordinator

Date Posted: 07/23/2026
Req ID: 49580
Faculty/Division: Faculty of Arts & Science
Department: Dept of Computer Science
Campus: St. George (Downtown Toronto)
Position Number: 00058335
Existing Vacancy: Yes

Description:

About us:

The Faculty of Arts & Science is the heart of Canada’s leading university and one of the most comprehensive and diverse academic divisions in the world. The strength of Arts & Science derives from our combined teaching and research excellence in the humanities, sciences and social sciences across 29 departments, seven colleges and 46 interdisciplinary centres, institutes and programs.

We can only realize our mission with the dedication and excellence of engaged staff and faculty. The diversity of opportunities and perspectives within the Faculty reflect the local and global landscape and the need for curiosity, innovative thinking and collaboration. At Arts & Science, we take pride in our legacy of innovation and discovery that has changed the way we think about the world.

Established in 1964, the Department of Computer Science is ranked among the top computer science departments in the world. Our faculty have been presented with a wide variety of honours and awards over the years, including two Turing Awards, and many other national and international honours. We provide diverse programs and research opportunities while consistently producing high-impact research that is among the most highly cited in computer science.

Your opportunity:

The Research Coordinator will play a vital role in supporting the dynamic and interdisciplinary research environment of the Toronto Computational Imaging Group and the Toronto Intelligent Systems Laboratory. These two research labs conduct cutting-edge research in computational imaging, computer vision, robotics, and machine learning. Their work spans theoretical foundations, algorithm development, and experimental validation through state-of-the-art robotics and imaging facilities. The Research Coordinator will work closely with students, postdoctoral fellows, and faculty members to facilitate research activities, manage collaborative projects, and support grant applications, reporting, and knowledge mobilization, among other duties. This position offers a unique opportunity to contribute to high-impact research with real-world applications, while gaining exposure to cutting-edge technologies and interdisciplinary collaboration.

Your responsibilities will include:

• Coordinating meeting schedules, agendas, materials, action and follow-up items
• Verifying the accuracy and completeness of grant submissions
• Creating and updating records
• Conducting systematic literature reviews
• Preparing draft statistical reports and summaries from data collected for publications and/or presentations use
• Recording or verifying transactions on a single account
• Serving as a resource to others by providing (non-supervisory) job-related guidance

Essential Qualifications:

• Bachelor's Degree or acceptable combination of education and equivalent experience.
• Minimum one year of experience supporting research project initiatives in the field of computational imaging, robotics, and machine learning.
• Experience supporting research projects, including coordinating meetings and seminars, coordinating event and travel logistics, maintaining project timelines, creating and updating filing and internal documentation systems, and tracking deliverables.
• Experience overseeing and managing tracking, maintaining, and verifying lab budgets and expenditures, preparing expense reimbursements, and coordinating inventory and purchasing.
• Proven experience analyzing data, and preparing research summaries, reports, and presentations.
• Experience coordinating grant submissions and familiarity with NSERC grant writing processes and funding agency requirements.
• Previous experience supporting interdisciplinary or multi-institutional research initiatives.
• Proficiency with standard office software (e.g., Microsoft Office, Google Workspace), inventory management software (e.g., Sortly), and task-management software (e.g., Todoist).
• Strong written and verbal communication skills, with the ability to liaise with external collaborators.
• Excellent organizational skills and attention to detail.
• Ability to work independently and collaboratively in a fast-paced research environment.
• Experience allocating compute resources and equipment.

To be successful in this role you will be:

• Approachable
• Honest
• Motivated self-learner
• Multi-tasker
• Proactive
• Resourceful

This role is currently eligible for a hybrid work arrangement, pursuant to the University policies and guidelines, including but not limited to the University of Toronto's Alternative Work Arrangements Guideline.

Closing Date: 08/03/2026, 11:59PM ET
Employee Group: USW
Appointment Type: Grant - Continuing
Schedule: Full-Time
Pay Scale Group & Hiring Zone:
USW Pay Band 08 -- $63,963. with an annual step progression to a maximum of $81,797. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.
Job Category: Research Administration & Teaching

Lived Experience Statement
Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the posted position.

Job descriptions are available upon request for internal applicants.

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Diversity Statement

The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities. We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP.

Accessibility Statement

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.

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