Research Associate (Limited Term

About Us

The Department of Mathematics at the University of Toronto aspires to serve our community as a welcoming center for learning, communicating, and applying mathematics, while building on our strength as Canada’s preeminent research department in the discipline and a top department worldwide. The Department offers ground-breaking research, innovative undergraduate and graduate programs, opportunities to engage with and learn from world-renowned faculty, and networking opportunities with alumni and industry leaders.

The Department of Mathematics, Faculty of Arts & Science, invites applications for a Research Associate (Limited Term) position with an appointment of approximately 1 year.

The Research Associate is also required to use and further develop electrical impedance tomography software that has been developed in the Department of Mathematics. Their duties will involve collaboration with a team of graduate students to obtain reconstruction algorithms for electrical impedance.

The Research Associate Limited Term is responsible for conducting research in inverse problems, with a particular emphasis on sound speed reconstruction, and contributes, by way of their academic expertise, to the projects directed by the principal investigator.

Research activities will include developing and proving mathematical theorems, supervising graduate students, and writing research papers in pure mathematics. The Research Associate will be liaising with collaborators, preparing manuscripts for submission to peer reviewed publications/journals, presenting findings at local, national, and international conferences. The Research Associate is also required to use MATLAB and electrical impedance tomography software within the Department of Mathematics to develop code for application in lab experiments.

• Candidates require a PhD in Mathematics with specialization in inverse problems, analysis, partial differential equations (PDEs), applied mathematics, or a related area.
• The candidate must demonstrate excellence in Mathematical research with a strong publication record, experience developing and proving mathematical theorems, conducting rigorous mathematical analysis, and expertise in Analysis and Partial Differential Equations with an emphasis on Inverse Problems.
• Proficiency in mathematical and scientific computing utilizing MATLAB, specifically experience developing code in MATLAB.
• Experience with computational imaging techniques, such as electrical impedance tomography, acoustic imaging, or related fields, is considered an asset.
• Strong organizational, interpersonal, and communication skills are required, and candidates must be able to work collaboratively with others in a large research team.

Closing Date:08/27/2026, 11:59PM ET
Employee Group: Research Associate

Appointment Type
:
Grant - Term
Schedule
:
Full-Time
Pay Scale Group & Hiring Zone
: R01 -- Research Associates (Limited Term): $53,520 - $100,350
Job Category
:
Research Administration & Teaching

The University of Toronto embraces Diversity and is building aculture 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 toequity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.
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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.
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