Postdoctoral Fellow - AI for Health
Department of Community Health Sciences
Rady Faculty of Health Sciences
University of Manitoba
Winnipeg, Manitoba, Canada
Posting Start Date: August 28, 2025
Posting End Date: posting may remain open until the position is filled
Position #: 24507
The Department of Community Health Sciences invites applications for a full-time Postdoctoral Fellow position, that is available immediately. This is a one-year position with the possibility of extension. Salary will be commensurate with experience and qualifications.
This position offers the opportunity to work at the intersection of AI and health sciences, focusing on developing machine learning approaches to assist physicians in the diagnosis and prognosis of complex health conditions. The ideal candidate will have expertise in developing large-scale machine learning models, multimodal health data analysis (e.g., medical imaging) combined with strong analytical skills to evaluate existing methodologies. The research, which will be conducted under the purview of Dr. Mina Nouredanesh, will aim at improving health outcomes, especially in older adults with complex health conditions such as dementia and Parkinson's disease.
Key Responsibilities:
- Design, train, and optimize machine learning models tailored for health and biomedical data.
- Work with diverse data types, including structured/tabular health datasets, medical imaging, genomics, medical text, and time-series signals.
- Drive the integration of advanced foundation models into clinical applications.
- Conduct literature reviews.
- Synthesize findings by contributing to the preparation of manuscripts.
- PhD (or equivalent experience) in Computer Science, Biomedical Engineering, Computer Engineering or a relevant discipline. The PhD must have been awarded within the appropriate time frame: no more than five years from the PhD (or equivalent) degree at the time of application. Candidates nearing completion of their PhD may also apply.
- Strong background in machine learning and deep learning approaches, preferably with experience in foundation models.
- Proficiency in Python and experience with machine learning frameworks such as PyTorch and TensorFlow.
- Strong publication record in relevant conferences/journals.
- Excellent communication and teamwork skills.
- Familiarity with data privacy regulations and ethical considerations in AI.
- Experience with multimodal health data.
Other requirements:
- Ability to work on-site at the University of Manitoba (a hybrid work arrangement that includes remote work can be accommodated).
- No relevant conflicts of interest, including commercial or financial relationships with medical technology or device companies, pharmaceutical products, congregate care facilities, or any other relevant products.
The University of Manitoba is a driving force of innovation, discovery and advancement. Our momentum is propelled by our campus community - UM faculty, staff and students whose determination and curiosity shape our world for the better. Our teaching, learning and work environment is uniquely strengthened and enriched by Indigenous perspectives. With two main campuses in Winnipeg, satellite campuses throughout Manitoba, and world-wide research, UM's impact is global.
Discover outstanding employee benefits, experience world-class facilities and join a dynamic community that values reconciliation, sustainability, diversity, and inclusion. We are one of Manitoba's Top Employers and one of Canada's Best Diversity Employers. At the University of Manitoba, what inspires you can change everything.
The City of Winnipeg (www.tourissmwinnipeg.com), located where the Red and Assiniboine Rivers meet, is recognized for its vibrant, multicultural community and diverse culture. The city, with a growing population of more than 766,000, is home to internationally renowned festivals, galleries and museums, the historic Exchange District and The Forks, and ever-expanding research, education, and business sectors. From the Hudson Bay waters, across the farmland fields, to the pulse of the cities and towns, The Province of Manitoba's (www.travelmanitoba.com) people and places - its 100,000 lakes, 92 provincial parks, winding river valleys and storied prairie skies - inspire.
The University of Manitoba is committed to the principles of equity, diversity & inclusion and to promoting opportunities in hiring, promotion and tenure (where applicable) for systemically marginalized groups who have been excluded from full participation at the University and the larger community including Indigenous Peoples, women, racialized persons, persons with disabilities and those who identify as 2SLGBTQIA+ (Two Spirit, lesbian, gay, bisexual, trans, questioning, intersex, asexual and other diverse sexual identities). All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority.
The Rady Faculty of Health Sciences is committed to the social justice principles of equity, access & participation and to promoting opportunities in hiring, promotion and tenure (where applicable) for systemically marginalized groups who have been excluded from full participation at the University and the larger community including Indigenous Peoples, Black, racially marginalized communities, disabled persons and those who identify as 2SLGBTQIA+ (Two Spirit, lesbian, gay, bisexual, trans, questioning, intersex, asexual and other diverse sexual identities).
An inclusive, open and diverse community is essential to excellence and fosters voices that have been ignored or discouraged. To address the Rady Faculty of Health Sciences commitment to equity, access and participation, and in recognition of the underrepresentation of members of historically and currently excluded groups, we take proactive measures including implicit bias training for all hiring panels. We strive for diversity and cultural safety throughout the hiring process (hiring panels, short-list of candidates, interviews). The University acknowledges the potential impact that Career Interruptions and Personal Circumstances can have on an applicant's record of research achievement. Measures will be taken to ensure that these leaves will be taken into careeful consideration during the evaluation process.
We encourage you to self-identity aspects of your identity that position you to bring currently under-represented viewpoints, expertise and forms of excellence to this role.
If you require accommodation supports during the recruitment process, please contact
[email protected] or 204-474-7195. Please note this contact information is for accommodation reasons only.
Applications including a curriculum vitae, references, and a sample first-authored peer-reviewed publication should be sent to: Dr. Mina Nouredanesh, Assistant Professor and Canada Research Chair in AI for Complex Health Data (Tier 2),
[email protected].
A Review of applications will begin on August 30, 2025, and will continue until filled.)
Application materials, including letters of reference, will be handled in accordance with the protection of privacy provision of The Freedom of Information and Protection of Privacy Act (Manitoba). Please note that curriculum vitae may be provided to participating members of the search process.
