Canada – Fully Funded PhD in Operations & Supply Chain Analytics at University of Saskatchewan

PhDFinder; Saskatoon; On-site; CAD 60,000 - 80,000; Full time

Job summary

A leading educational institution in Canada is offering a fully funded PhD position focusing on the application of machine learning and business analytics to enhance agricultural supply chains. Ideal candidates will have strong quantitative skills and programming experience, and will contribute to innovative research aligned with global sustainability goals. The position includes collaboration with experts and aims to tackle pressing issues in food security.

Qualifications

• Degree in commerce, engineering, computer science or related fields.
• Demonstrated programming skills.
• Interest in sustainability and supply chain management.

Responsibilities

• Develop analytics and machine learning models.
• Research on agricultural supply chains.
• Collaborate with experts in analytics and operations.

Skills

Strong quantitative skills

Programming experience (Python, MATLAB)

Knowledge of sustainability

Interest in interdisciplinary research

Education

University degree (preferably Master’s) in relevant fields

Job description

University: University of Saskatchewan
Country: Canada
Deadline: 2025-12-19
Fields: operations management, supply chain management, business analytics, industrial engineering, computer science

Are you passionate about leveraging advanced analytics and machine learning to create more sustainable and resilient agricultural supply chains? Do you aspire to contribute to global food security while advancing your academic and professional career in operations and supply chain analytics? If so, the fully funded PhD position at the Edwards School of Business, University of Saskatchewan, could be your ideal next step.

About The University Or Research Institute

The University of Saskatchewan, located in Saskatoon, Canada, is one of the country’s leading research‑intensive universities. Renowned for its commitment to innovation and societal impact, the university boasts a vibrant academic community and a strong tradition of interdisciplinary research. The Edwards School of Business, as one of the university’s flagship faculties, is recognized for its excellence in business education and research, particularly in the fields of operations, supply chain management, and analytics.

Canada itself is an attractive destination for international scholars, offering a high standard of living, a welcoming multicultural environment, and strong support for research and innovation. Students benefit from access to world‑class facilities, collaborative networks, and a safe, inclusive society that values diversity and academic freedom.

Research Topic and Significance

The central research focus of this PhD position is the application of machine learning and business analytics to enhance the sustainability of agricultural supply chains. This project is closely aligned with the United Nations’ Sustainable Development Goals (SDGs), especially SDG 2: Zero Hunger, which aims to end hunger, achieve food security, and promote sustainable agriculture.

Also See

• Germany – PhD in Microeconomics at Technical University of Munich
• USA – PhD in Power and Energy Systems at North Carolina A&T State University
• Germany – PhD in Agronomy & Crop Science at Georg-August University of Göttingen
• USA – PhD in Machine Learning & AI at University of Illinois Urbana‑Champaign
• Germany – Postdoc in Agricultural Climate Services at Leibniz Centre for Agricultural…

By developing analytical, mathematical, and machine learning models, the research seeks to address pressing global challenges such as food security, resource optimization, and environmental sustainability within the agricultural sector. The outcomes of this research have the potential to inform policy, improve supply chain efficiency, and contribute to more resilient and sustainable food systems worldwide.

Project Details

The successful applicant will join a dynamic research team at the Edwards School of Business, working under the supervision of Dr. Mohammadreza Nematollahi. The research project will involve close collaboration with experts in analytics, operations management, and sustainability. The anticipated start date is September 2026, with flexibility for an earlier start in Spring or Summer 2026.

As part of the team, the PhD student will engage in developing and applying quantitative and computational methods—such as machine learning, statistical modeling, and mathematical optimization—to real‑world problems in agricultural supply chains. The research environment is highly interdisciplinary, encouraging collaboration across business, engineering, and data science domains.

Candidate Profile

• A university degree (preferably a Master’s) from a recognized institution in commerce, business, operations management, management science, industrial engineering, computer science, statistics, mathematics, economics, or related fields.
• Demonstrated strong quantitative skills and programming experience (such as Python, MATLAB, or similar languages).
• Knowledge of sustainability and supply chain management is considered an asset.
• A genuine interest in conducting research that bridges multiple disciplines.
• English language proficiency as required for graduate studies at the University of Saskatchewan.

The program is designed for individuals who are eager to tackle complex challenges, contribute to impactful research, and pursue academic or industry careers in analytics, operations, and supply chain management.

Application Process

To apply for this fully funded PhD position, candidates are required to submit the following documents:

• A detailed cover letter outlining your motivation for the position.
• An updated CV highlighting your research experience and relevant coursework.
• Proof of academic achievements (such as journal publications, conference papers, transcripts, or awards).
• Contact information for two references who may be contacted.

Applicants should submit their materials to Dr. Mohammadreza Nematollahi with the subject line “PhD-2026.” The application deadline is December 19, 2025. The position will remain open until filled, and only shortlisted candidates will be contacted for an interview.

Please refer to the official advertisement for application details. For more information, you may visit the LinkedIn post by Dr. Mohammadreza Nematollahi at the following URL: https://www.linkedin.com/posts/mrz-nematollahi_phd-position-in-operations-and-supply-chain-activity-7396577424647503872-6daO.

Conclusion

This is a unique opportunity for aspiring researchers and professionals who are committed to making a positive impact on global food systems and sustainability. If you are driven by a desire to solve complex, real‑world problems using advanced analytics and interdisciplinary approaches, we encourage you to apply for this fully funded PhD position at the University of Saskatchewan.

Stay tuned for more opportunities like this, and take the next step toward a rewarding academic and professional journey in operations and supply chain analytics.