Dr. John Doucette, Dr. Milad Nazarahari
In close collaboration with Mining Optimization Laboratory, our research aims to use operations research and advanced analytical methods such as mathematical modeling, optimization, discrete event/continuous simulation, and intelligent agents to arrive optimal or near- optimal solutions to complex, large-scale mine planning/operations decision-making problems.
We strongly believe that promoting Equity, Diversity, and Inclusion is the only way to move forward. We strive to build and maintain an equitable, diverse, inclusive, interdisciplinary, and collaborative environment where we benefit from a broad spectrum of ideas and experiences. We encourage people with diverse backgrounds, perspectives, and lived experiences to join us, specifically members of underrepresented and disadvantaged groups (e.g., women, Indigenous people, visible minorities, and people with disabilities).
Qualifications
- MSc degree in Mechanical/Industrial Eng., Operational Research, or Eng. Management.
- Research experience (coursework, research, and/or industrial): optimization and operational research.
- Experience in programming with MATLAB for data analysis/visualization.
- Proficient in programming with Python, and/or C/C++,
- Familiar with CPLEX and/or Gurobi Optimizer solvers and AMPL. mathematical programming language
- Minimum GPA of 3.5/4.0 (or equivalent).
- Effective written and verbal communication skills in English.
Preferred Qualifications
- Experience with discrete-event simulation.
- Experience in metaheuristic optimization algorithms.
- Experience in machine learning techniques.
Contact
Please submit your application to Dr. Nazarahari via email (nazarahat@ualberta.ca):
- (Required) Cover letter: a brief statement of your motivation, research interests, & relevant past experiences (max 1 page).