Research Associate: Inverse Problems & Imaging

University of Toronto; Toronto; On-site; CAD 35,232,000 - 35,233,000; Full time

Job summary

University of Toronto’s Department of Mathematics invites applications for a Research Associate (Limited Term) for about one year. The role involves research in inverse problems, focusing on sound speed reconstruction, and collaboration with graduate students using MATLAB and electrical impedance tomography software.

Applicant should have a PhD in Mathematics with a strong publication record, proficiency in MATLAB, and experience in computational imaging or related fields.

Qualifications

• PhD in Mathematics with specialization in inverse problems, analysis or PDEs.
• Strong publication record and ability to prove theorems and conduct rigorous analysis.
• Proficiency in MATLAB and scientific computing; experience with numerical reconstruction software.
• Experience with computational imaging techniques such as electrical impedance tomography is a plus.
• Ability to collaborate effectively within a large research team.

Responsibilities

• Conduct research in inverse problems focusing on sound speed reconstruction.
• Develop and prove mathematical theorems; supervise graduate students; write research papers.
• Prepare manuscripts for peer-reviewed journals and present findings at conferences.
• Develop code in MATLAB and EIT software for lab applications.

Skills

MATLAB proficiency

Inverse problems

PDE expertise

Mathematical analysis

Collaborative research

Education

PhD in Mathematics (inverse problems/PDEs)

Tools

Electrical impedance tomography software

MATLAB

Job description

University of Toronto’s Department of Mathematics invites applications for a Research Associate (Limited Term) for about one year. The role involves research in inverse problems, focusing on sound speed reconstruction, and collaboration with graduate students using MATLAB and electrical impedance tomography software.

Applicant should have a PhD in Mathematics with a strong publication record, proficiency in MATLAB, and experience in computational imaging or related fields.