What are the responsibilities and job description for the Canada – PhD in Sustainable Operations at University of British Columbia & University of Toronto position at PhDFinder?
University: University of British Columbia & University of Toronto
Country: Canada
Deadline: Not specified
Fields: Industrial Engineering, Management Science, Decision Science, Operations Research, Applied Mathematics
Are you passionate about tackling the world’s most pressing sustainability challenges through advanced operational research and innovative modeling techniques? If your academic ambitions or career goals involve making a measurable impact on sustainable business and industrial practices, this unique PhD opportunity in Sustainable Operations at two of Canada’s premier universities could be the perfect next step.
About The University Or Research Institute
The University of British Columbia (UBC) and the University of Toronto are two of Canada’s most prestigious academic institutions, both consistently ranked among the top universities globally. UBC, with its Okanagan campus, offers a world-class education in a vibrant, close-knit environment, fostering a strong sense of community and collaboration. The Okanagan campus is celebrated for its beautiful natural surroundings, cutting-edge research facilities, and commitment to sustainability.
The University of Toronto, home to the renowned Rotman School of Management, is recognized for its leadership in business education, research excellence, and influential academic community. Both universities are located in thriving Canadian cities known for their multiculturalism, quality of life, and commitment to innovation and inclusivity. Studying in Canada provides access to outstanding research resources, a diverse student body, and a supportive environment for international scholars.
Research Topic and Significance
This PhD position centers on the theoretical and practical aspects of modeling, analysis, and design of sustainability challenges within operational problems. As industries worldwide strive to reduce their environmental footprint and adopt responsible practices, the intersection of operations research and sustainability has become increasingly vital. The research aims to develop innovative solutions for complex real-world challenges, such as optimizing resource use, minimizing waste, and improving the resilience of supply chains.
Also See
Project Details
The successful applicant will join a collaborative research effort co-supervised by Dr. Amir Ardestani-Jaafari (Faculty of Management, University of British Columbia – Okanagan Campus) and Dr. Vahid Roshanaei (Rotman School of Management, University of Toronto). The project will involve rigorous research at the intersection of operations research and sustainability, with a focus on developing and applying advanced optimization and modeling techniques to real-world operational challenges.
The position is fully funded and designed to support the academic and professional development of the selected candidate, offering access to leading experts, state-of-the-art resources, and a dynamic research community.
Candidate Profile
Ideal Applicants Will Possess
– A completed or nearly completed Master’s degree in Industrial Engineering, Management Science, Decision Science, Operations Research, Applied Mathematics, Computer Science, or a related discipline.
– Strong programming skills, preferably in Python, and experience integrating programming languages (Python or C ) with optimization solvers such as Gurobi and CPLEX.
– Solid expertise in optimization techniques, including stochastic and robust modeling, and simulation.
– Coursework in integer, stochastic integer, convex, nonlinear, and machine learning optimization.
– Knowledge of constraint programming (considered an asset).
– A self-motivated approach to research, with excellent English communication skills (both written and spoken).
Candidates from diverse backgrounds, including underrepresented and marginalized groups, are strongly encouraged to apply, reflecting the universities’ commitment to equity and diversity.
Application Process
To apply, please refer to the official advertisement for application details.
For more information and to verify application instructions, see the original LinkedIn post by Dr. Amir Ardestani-Jaafari:
https://www.linkedin.com/posts/amir-ardestani-jaafari_phd-position-ugcPost-7360141996654546946-Zvc2
Conclusion
This fully funded PhD position offers an unparalleled opportunity to advance your expertise in sustainable operations while contributing to meaningful solutions for global sustainability challenges. If you are driven by curiosity, innovation, and a commitment to making a difference, you are encouraged to apply and join a vibrant academic community at the forefront of research and impact. Stay tuned for more opportunities like this by following the links below.
Want to calculate your PhD admission chances? Try it here:
https://phdfinder.com/phd_admission_chance_calculator/
Found this opportunity helpful? Support us with a coffee!
Country: Canada
Deadline: Not specified
Fields: Industrial Engineering, Management Science, Decision Science, Operations Research, Applied Mathematics
Are you passionate about tackling the world’s most pressing sustainability challenges through advanced operational research and innovative modeling techniques? If your academic ambitions or career goals involve making a measurable impact on sustainable business and industrial practices, this unique PhD opportunity in Sustainable Operations at two of Canada’s premier universities could be the perfect next step.
About The University Or Research Institute
The University of British Columbia (UBC) and the University of Toronto are two of Canada’s most prestigious academic institutions, both consistently ranked among the top universities globally. UBC, with its Okanagan campus, offers a world-class education in a vibrant, close-knit environment, fostering a strong sense of community and collaboration. The Okanagan campus is celebrated for its beautiful natural surroundings, cutting-edge research facilities, and commitment to sustainability.
The University of Toronto, home to the renowned Rotman School of Management, is recognized for its leadership in business education, research excellence, and influential academic community. Both universities are located in thriving Canadian cities known for their multiculturalism, quality of life, and commitment to innovation and inclusivity. Studying in Canada provides access to outstanding research resources, a diverse student body, and a supportive environment for international scholars.
Research Topic and Significance
This PhD position centers on the theoretical and practical aspects of modeling, analysis, and design of sustainability challenges within operational problems. As industries worldwide strive to reduce their environmental footprint and adopt responsible practices, the intersection of operations research and sustainability has become increasingly vital. The research aims to develop innovative solutions for complex real-world challenges, such as optimizing resource use, minimizing waste, and improving the resilience of supply chains.
Also See
- Fully-Funded Master's and PhD Positions in Security & Privacy at UBC
- PhD Opportunity in Symbolic AI and Reasoning Under Uncertainty at TU Delft
- Germany – PhD in Business Analytics and Operations Research at University of Mannheim
- Europe – Postdoc in Mechanical Properties of Cemented Carbides at University of Luxembourg
- Australia – PhD in Data-Driven Modelling for Sustainable Energy at Curtin University
Project Details
The successful applicant will join a collaborative research effort co-supervised by Dr. Amir Ardestani-Jaafari (Faculty of Management, University of British Columbia – Okanagan Campus) and Dr. Vahid Roshanaei (Rotman School of Management, University of Toronto). The project will involve rigorous research at the intersection of operations research and sustainability, with a focus on developing and applying advanced optimization and modeling techniques to real-world operational challenges.
The position is fully funded and designed to support the academic and professional development of the selected candidate, offering access to leading experts, state-of-the-art resources, and a dynamic research community.
Candidate Profile
Ideal Applicants Will Possess
– A completed or nearly completed Master’s degree in Industrial Engineering, Management Science, Decision Science, Operations Research, Applied Mathematics, Computer Science, or a related discipline.
– Strong programming skills, preferably in Python, and experience integrating programming languages (Python or C ) with optimization solvers such as Gurobi and CPLEX.
– Solid expertise in optimization techniques, including stochastic and robust modeling, and simulation.
– Coursework in integer, stochastic integer, convex, nonlinear, and machine learning optimization.
– Knowledge of constraint programming (considered an asset).
– A self-motivated approach to research, with excellent English communication skills (both written and spoken).
Candidates from diverse backgrounds, including underrepresented and marginalized groups, are strongly encouraged to apply, reflecting the universities’ commitment to equity and diversity.
Application Process
To apply, please refer to the official advertisement for application details.
For more information and to verify application instructions, see the original LinkedIn post by Dr. Amir Ardestani-Jaafari:
https://www.linkedin.com/posts/amir-ardestani-jaafari_phd-position-ugcPost-7360141996654546946-Zvc2
Conclusion
This fully funded PhD position offers an unparalleled opportunity to advance your expertise in sustainable operations while contributing to meaningful solutions for global sustainability challenges. If you are driven by curiosity, innovation, and a commitment to making a difference, you are encouraged to apply and join a vibrant academic community at the forefront of research and impact. Stay tuned for more opportunities like this by following the links below.
Want to calculate your PhD admission chances? Try it here:
https://phdfinder.com/phd_admission_chance_calculator/
- Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free: https://phdfinder.com/position-alert-service/
Found this opportunity helpful? Support us with a coffee!