The University of Calgary is recruiting PhD students and postdoctoral researchers in mathematical modeling, optimization, and renewable energy systems, with joint appointments in the Department of Mathematics and Statistics and the Department of Earth, Energy and Environment. The PhD positions are available for the Fall 2026 semester through either the Mathematics and Statistics or Geoscience programs. Research areas include mathematical modeling and optimization for power and energy systems, with applications in renewable energy, atmospheric modeling, wind and solar farm modeling, transmission and generation planning, and electricity markets. The programs offer opportunities to work on interdisciplinary projects at the intersection of mathematics, statistics, and earth sciences, and to collaborate with leading faculty members. Applicants should have a strong background in mathematics, statistics, geoscience, or related fields, and demonstrate a passion for research in mathematical modeling and energy systems. International applicants must meet English language proficiency requirements. Funding for PhD students is competitive and may include stipends and tuition coverage; details are available through the university's Graduate Calendar and departmental awards. The postdoctoral position, hosted by the Pacific Institute for the Mathematical Sciences (PIMS) at the University of Calgary, is a one-year fully funded opportunity with a minimum salary of 57,000 CAD plus benefits, and may be combined with sessional teaching. The postdoc will join a collaborative research group focused on forecasting and mathematical modeling for renewable energy, with opportunities for networking and interdisciplinary research. Application deadlines for both PhD and postdoc positions are January 15, 2026, with review of postdoc applications beginning December 5, 2025. Prospective PhD students should contact Zhirui Liang directly by email with their application materials, while postdoc applicants should apply via mathjobs.org and arrange for a faculty sponsor. For more information, visit the provided program and faculty links.

The MathPower group at the University of Calgary, led by Dr. Zhirui Liang, is recruiting multiple fully funded Ph.D. students and postdoctoral researchers for Fall 2026. The positions are available through the Ph.D. in Mathematics and Statistics or Ph.D. in Geoscience programs, with postdoc opportunities via the Pacific Institute for the Mathematical Sciences (PIMS) fellowship. The group focuses on rigorous mathematical models, data-driven methods, and trustworthy AI algorithms to support the integration of variable renewable energy and surge electricity demand, improving reliability, efficiency, and transparency of power and energy systems. Research themes include optimization, game theory, machine learning, power system engineering, and energy economics. Current research topics cover power/energy systems under uncertainty, strategic human behavior, decision-support tools for system planners and market operators, optimization and control of distributed energy resources, and data center–grid coordination for energy-efficient computing. The group collaborates with national laboratories, universities, and industry partners across North America, offering students opportunities to present at top journals and conferences and engage in cross-disciplinary research. Applicants should have a master's degree in a relevant field (mathematics, statistics, operations research, electrical engineering, computer science, data science, geoscience, environmental or industrial engineering), strong mathematical modeling, optimization, or machine learning skills, and proficiency in programming languages such as Python, Julia, or MATLAB. Funding includes full tuition and stipend, with postdoc candidates eligible for the PIMS fellowship. To apply, email Dr. Liang at [email protected] with your CV, transcript, and a brief statement of research experience and interests. The University of Calgary is a leading Canadian institution, offering a vibrant research environment and excellent quality of life in Calgary, Alberta.

The University of Calgary is recruiting PhD students and postdoctoral researchers in the areas of mathematical modeling, optimization, and renewable energy systems, with opportunities in both the Department of Mathematics and Statistics and the Department of Earth, Energy and Environment. The PhD positions are available for the Fall 2026 semester through the PhD in Mathematics and Statistics or PhD in Geoscience programs. Research topics include mathematical modeling and optimization for power and energy systems, with applications in renewable energy, atmospheric modeling, wind and solar farm modeling, and electricity markets. The programs offer a rich curriculum covering pure and applied mathematics, statistics, probability, and geoscience, with opportunities for interdisciplinary research and collaboration. Applicants should have a strong academic background in mathematics, statistics, geoscience, or related fields, and demonstrate a passion for research in mathematical modeling and energy systems. International applicants must provide proof of English proficiency. The postdoctoral position, hosted by the University of Calgary and supported by the Pacific Institute for the Mathematical Sciences (PIMS), focuses on forecasting and mathematical modeling for renewable energy. The position offers a minimum salary of 57,000 CAD per year plus benefits and may be combined with sessional teaching. Application materials for PhD positions include CV, transcript, and a statement of research interests, while postdoc applicants must submit a cover letter, CV, research statement, and reference letters online. The application deadline for Fall 2026 admission is January 15, 2026. For more information, visit the provided program and application links.

The MathPower group at the University of Calgary, led by Dr. Zhirui Liang, is recruiting multiple fully funded PhD students and postdoctoral researchers to start in Fall 2026. The group focuses on rigorous mathematical models, data-driven methods, and trustworthy AI algorithms to support the integration of renewable energy and manage surge electricity demand, with research at the intersection of optimization, game theory, machine learning, power system engineering, and energy economics. PhD students may join through the Mathematics and Statistics or Geoscience programs, and postdocs are encouraged to apply via the Pacific Institute for the Mathematical Sciences (PIMS) fellowship. Research topics include power/energy system modeling under uncertainty, AI-integrated power system operation, distributed energy resources, and energy-efficient computing. Applicants should have a relevant master's degree and strong skills in mathematical modeling, optimization, or machine learning, as well as programming experience. The positions are fully funded, covering tuition and stipend. To apply, candidates should email Dr. Liang with their CV, transcript, and a brief statement of research experience and interests. The University of Calgary is a top Canadian institution located in a vibrant city with access to world-class research opportunities and natural beauty.