Description
Applications are currently being welcomed for a full-time Postdoctoral Fellow position in Healthcare Analytics at the Lazaridis School of Business and Economics, Wilfrid Laurier University. This opportunity has been designed to contribute significantly to an advanced research initiative focused on enhancing healthcare coordination through the integration of AI and data-driven analytical methods. This research will be overseen by Dr. Salar Ghamat, Associate Professor and Canada Research Chair in Business Analytics in Supply Chain, in collaboration with Dr. Mojtaba Araghi. The appointed fellow will contribute to impactful research activities focused on enhancing healthcare system performance through data-driven strategies and collaboration with industry stakeholders.
Responsibilities
This research initiative will be led by Dr. Salar Ghamat, Associate Professor and Canada Research Chair in Business Analytics in Supply Chain, in partnership with Dr. Mojtaba Araghi. The selected postdoctoral fellow will be actively engaged in high-impact research aimed at transforming healthcare operations. Key responsibilities include:
- Collaborating with leading faculty on advanced healthcare analytics projects
- Engaging with industry partners to address real-world healthcare challenges
- Applying data-driven methods to improve system performance and coordination
- Contributing to research outputs that inform practice and policy in healthcare
What do they offer?
The position offers valuable hands-on experience with real-world healthcare datasets and collaboration with industry partners. The fellow will contribute to generating actionable insights that support improvements in healthcare delivery. Key details of the appointment include:
- Initial term of 12 months, with a possibility of a 1-year extension
- Flexible start date, accommodating candidate availability
- Ongoing review of applications until the position is filled
- Performance-based renewal aligned with project progression
Qualification
To qualify for this opportunity, candidates are required to have earned a Ph.D. in a relevant discipline before the appointment's commencement. Preference will be given to those with a strong research background in analytical methods relevant to healthcare operations. The ideal candidate will demonstrate proficiency in the following areas:
- Stochastic modeling for uncertainty and variability in service systems
- Mechanism design for optimizing resource allocation and coordination
- Data analytics with a focus on healthcare or service applications
- Operations research or management science in real-world settings
Application Process
Interested applicants are asked to submit the following documents electronically:
- A letter of intent (please include your eligibility to work in Canada)
- An updated curriculum vitae outlining academic background and research history
- One or two sample research papers
- Contact details of two academic referees
All application materials should be sent to Dr. Mojtaba Araghi (maraghi@wlu.ca) and Dr. Salar Ghamat (sghamat@wlu.ca) using the subject line:
“Postdoc Application – Healthcare Analytics.”
The Lazaridis School of Business and Economics, one of Canada's largest business schools, is situated in Waterloo, Ontario, recognized as a hub of technological innovation and located approximately 100 kilometers southwest of Toronto. The school fosters a collaborative academic culture, surrounded by a thriving ecosystem of startups and research-driven enterprises.
Wilfrid Laurier University is dedicated to diversity, equity, inclusion, and accessibility in all hiring practices. Applications are particularly encouraged from individuals who identify as Indigenous, racialized, persons with disabilities, or members of 2SLGBTQIA+ communities.
Further information or equity-related inquiries may be directed to:
- Office of Indigenous Initiatives: indigenous@wlu.ca
- Diversity and Equity Office: diversity@wlu.ca
- For accessibility support or alternate formats of this posting, please contact Human Resources at hr@wlu.ca or call 519-884-1970.
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