PhD Opening | Mechanical Engineering | University of Alberta | Edmonton, Alberta, Canada | Fall 2024

Bhabona; Edmonton; On-site; CAD 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a talented individual to join their innovative team in the Mining Optimization Laboratory. This role focuses on leveraging advanced analytical methods such as mathematical modeling and optimization to tackle complex mine planning and operations challenges. The ideal candidate will possess a strong background in Mechanical or Industrial Engineering, along with programming skills in MATLAB and Python. This position not only offers the chance to contribute to meaningful research but also emphasizes the importance of equity, diversity, and inclusion within the workplace. If you are passionate about operations research and eager to make an impact, this opportunity is perfect for you.

Qualifications

• MSc degree in relevant engineering field with a minimum GPA of 3.5.
• Research experience in optimization and operational research is essential.

Responsibilities

• Collaborate with the Mining Optimization Laboratory on complex mine planning problems.
• Utilize advanced analytical methods to derive optimal solutions.

Skills

MATLAB

Python

C/C++

Optimization

Operational Research

Discrete-event Simulation

Machine Learning

Effective Communication

Education

MSc in Mechanical/Industrial Engineering

MSc in Operational Research

MSc in Engineering Management

Tools

CPLEX

Gurobi Optimizer

AMPL

Job description

Dr. John Doucette, Dr. Milad Nazarahari

In close collaboration with the 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 at 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 Engineering, Operational Research, or Engineering Management.
• Research experience (coursework, research, and/or industrial) in optimization and operational research.
• Experience in programming with MATLAB for data analysis/visualization.
• Proficient in programming with Python and/or C/C++.
• Familiarity 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 ([e-mail]):

• (Required) Cover letter: a brief statement of your motivation, research interests, and relevant past experiences (max 1 page).