Postdoctoral Fellow - AI for Health
Top Benefits
About the role
Postdoctoral Fellow - AI for Health
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 opportunity:
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.
The qualifications and experience we’re looking for:
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.
Why the University of Manitoba?
Along with being one of Manitoba’s top employers, we are proud to provide a collaborative and enriching work environment. In addition to a strong compensation package with a competitive salary, the University provides an exceptional workplace that includes:
- Comprehensive group benefits and pension plan.
- Competitive vacation time.
- Employee and Family Assistance Program.
- A full spectrum of professional development opportunities.
Apply today through the University of Manitoba’s recruitment site, UM Careers:
Closing Date: Open Until Filled.
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), mina.nouredanesh@umanitoba.ca.
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).
If you require accommodation supports during the recruitment process, please contact UM.Accommodation@umanitoba.ca or 204-474-7195. Please note this contact information is for accommodation reasons only.
Application materials, including letters of reference, will be handled in accordance with the protection of privacy provisions of The Freedom of Information and Protection of Privacy Act (Manitoba). Please note that curriculum vitae will be provided to participating members of the search process.
Job Type: Full-time
Work Location: In person
About University of Manitoba
We attract people from around the world who share our ideals and vision for positive change. We believe in embracing challenges and taking action. Our students, researchers and alumni bring their unique voices to learning and discovery, shaping new ways of doing things and contributing to important conversations in topics that matter most, from human rights to global health to climate change. We are where imagination and action collide.
Postdoctoral Fellow - AI for Health
Top Benefits
About the role
Postdoctoral Fellow - AI for Health
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 opportunity:
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.
The qualifications and experience we’re looking for:
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.
Why the University of Manitoba?
Along with being one of Manitoba’s top employers, we are proud to provide a collaborative and enriching work environment. In addition to a strong compensation package with a competitive salary, the University provides an exceptional workplace that includes:
- Comprehensive group benefits and pension plan.
- Competitive vacation time.
- Employee and Family Assistance Program.
- A full spectrum of professional development opportunities.
Apply today through the University of Manitoba’s recruitment site, UM Careers:
Closing Date: Open Until Filled.
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), mina.nouredanesh@umanitoba.ca.
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).
If you require accommodation supports during the recruitment process, please contact UM.Accommodation@umanitoba.ca or 204-474-7195. Please note this contact information is for accommodation reasons only.
Application materials, including letters of reference, will be handled in accordance with the protection of privacy provisions of The Freedom of Information and Protection of Privacy Act (Manitoba). Please note that curriculum vitae will be provided to participating members of the search process.
Job Type: Full-time
Work Location: In person
About University of Manitoba
We attract people from around the world who share our ideals and vision for positive change. We believe in embracing challenges and taking action. Our students, researchers and alumni bring their unique voices to learning and discovery, shaping new ways of doing things and contributing to important conversations in topics that matter most, from human rights to global health to climate change. We are where imagination and action collide.