CHU de Québec-Université Laval
2 weeks ago
Fully Funded PhD in Combinatorial Optimization and Quantum Optimization at Université Laval / UQAM Université Laval / Université du Québec à Montréal in Canada
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding available
Country
Canada
University
CHU de Québec-Université Laval
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About this position
Doctoral offers are available at Université Laval / UQAM for a fully funded PhD in combinatorial optimization and quantum optimization.
The project focuses on developing advanced methods for solving binary polynomial optimization problems, with potential applications in production planning, finance, energy, transport, and tourism.
Relevant academic areas include operations research, computer science, mathematics, industrial engineering, and quantum computing. Candidates should have a master's degree in one of these areas or a related field, plus strong programming skills in Python and C/C++ (or equivalent).
Funding is described as a competitive scholarship with tuition support. Possible affiliations include GERAD, CIRRELT, and CR2IGS.
No application deadline is stated in the post. Interested candidates should review the LinkedIn announcement and follow up through the post link for next steps.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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