Joint Postdoctoral Scholar

Posted date

Monday, September 28, 2026

Deadline

Friday, October 23, 2026

Start date

To be determined

Job type

Contract

Work hours

Full-Time

Competition number

RTF2632

Salary

$50,000 - $80,000

Supervision

Canada Research Chair in Data Analytics for Health Systems Transformation (Christopher Sun, PhD)

Number of vacancies

2

The University of Ottawa Heart Institute does not use artificial intelligence (AI) in its recruitment process. All hiring decisions are made through human review and evaluation.

Term

One (1) year contract with possibility of extension.

Job summary

The Telfer School of Management (TSM) at the University of Ottawa and the University of Ottawa Heart Institute (UOHI) invite applications for Postdoctoral Scholars to conduct research at the intersection of machine learning, computer science, and data analytics for cardiovascular care and health systems. Successful candidates will work under the supervision of Prof. Christopher Sun, the Canada Research Chair in Data Analytics for Health Systems Transformation and collaborate closely with clinical partners and faculty at TSM to develop computational methods that address high-impact problems in cardiovascular disease management and healthcare delivery.

This position builds on a unique partnership between UOHI, a world-class tertiary cardiovascular research, education, and patient care centre, and TSM, one of Canada's two triple-accredited business schools. Through access to UOHI's operational and patient data, the collaboration supports the development, rigorous validation, and responsible implementation of machine-learning models and data-driven decision tools in real clinical and health-system settings.

Qualifications

• PhD in Computer Science, Data Science, Machine Learning or Artificial Intelligence, Statistics, Electrical or Computer Engineering, Biomedical Informatics, or a closely related quantitative field by the start date. Candidates from Operations Research or Industrial Engineering are also welcome when their research has a strong computational and machine-learning focus.
• Strong programming and software-development skills in Python and/or R; experience with modern machine-learning libraries, version control, reproducible workflows, databases, or data pipelines is highly valued.
• Expertise in machine learning and/or deep learning, with particular interest in areas such as natural language processing, time-series and survival modelling, multimodal learning, representation learning, causal machine learning, or trustworthy AI. Expertise in optimization is an additional asset.
• Prior experience analyzing large, complex, real-world datasets is highly desired; experience with clinical, administrative, imaging, physiological, or other sensitive health data is an asset.
• Strong communication skills and ability to work well in interdisciplinary research teams

To apply

Please email your documents in PDF format to [email protected].

Include the competition number in the email subject line and clearly state the position you are applying for. Applications missing the competition number may be delayed in processing.

Required application material

• Cover letter, including a brief description of interest and fit.
• CV, including contact details for at least two professional or academic references.
• Submit one or two representative research papers that best demonstrate your research experience and contributions.

File names:

• Lastname_Firstname_CoverLetter.pdf and

• Lastname_Firstname_CV.pdf

Applications will be reviewed immediately and will continue on a rolling basis until the position is filled.

Applications from Indigenous persons, members of racialized minorities, persons with disabilities, women, members of the LGBTQ**+** community, as well as from all qualified candidates with the skills and knowledge to productively engage with equitable, diverse and inclusive communities are strongly encouraged.

According to government policy, all qualified candidates are invited to apply; however, preference will be given to Canadians and permanent residents. When submitting your application, please indicate if you are legally entitled to work in Canada.

The University of Ottawa Heart Institute is committed to ensuring barrier-free selection processes and work environments. Accommodations will be provided in all parts of the hiring process relating to any specialty requirements. Please notify us of any accommodations that you require – any information you provide will be handled respectfully and in complete confidence.

The successful candidate will be required, prior to the start of employment, to complete mandatory organizational training available online, and provide the following: an official piece of photo identification and a satisfactory Criminal Record Check and proof of COVID-19 vaccine.

We thank all applicants for their interest; however, only those invited for an interview will be contacted.