The Mining Optimization Lab (MOL) at the University of Alberta is seeking four highly motivated and excellent candidates for fully funded PhD positions starting in September 2026. The research group, led by Professor Hooman Askari, focuses on applying operations research and advanced analytical methods—including mathematical modeling, optimization, discrete event and continuous simulation, and intelligent agents—to solve complex, large-scale mine planning and operations decision-making problems....

This fully-funded PhD opportunity at Université de Montréal, in collaboration with Mila – Québec AI Institute, is designed for students passionate about quantum computing, quantum chemistry, and machine learning. The research focuses on learning density functional theory (DFT) on quantum computers, combining interdisciplinary approaches from quantum physics, computational chemistry, and artificial intelligence. The project aims to use quantum computers to generate quantum chemistry datasets and ...

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 a...

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, wi...

The University of Alberta's Mining Optimization Laboratory (MOL) is offering four fully funded PhD positions starting September 2026 in Edmonton, Canada. The positions are open to excellent and highly motivated candidates with backgrounds in Mining Engineering, Industrial Engineering, Computing Science, or Operations Research. The research will focus on simulation and optimization of mining systems, as well as mine planning optimization and design, using advanced operations research and analytic...

The Experimental Micromechanics & Characterization Group at the University of British Columbia (UBC), Vancouver, is offering two fully funded PhD positions in advanced electron microscopy for materials engineering. These positions, starting in May or September 2026, focus on cutting-edge research at the intersection of electron microscopy and materials innovation. Project 1 involves exploring next-generation multimodal electron microscopy using UBC’s TESCAN TENSOR STEM, with applications in clea...

The Experimental Micromechanics & Characterization Group at the University of British Columbia (UBC), Vancouver, is offering two fully funded PhD positions in advanced electron microscopy for materials engineering. These positions are part of a dynamic research environment focused on the development and application of cutting-edge electron microscopy techniques to address major challenges in clean energy, engineering alloys, transportation, and infrastructure. Project 1 centers on next-generatio...

The IASO (Intelligent AI Systems for Surgical Operations) project at Concordia University, in partnership with THINK Surgical and funded by NSERC Alliance, is seeking a PhD student to advance real-time sensing and spatial intelligence for robotic surgical systems. Building on the ACESO project's breakthroughs in camera calibration and tracking, IASO integrates deep learning, computer vision, and multi-sensor fusion to achieve sub-millimetric accuracy in 3D reconstruction and scene registration. ...

This fully funded PhD position at Concordia University in Montreal focuses on transforming built and urban microclimates to advance resilience science for vulnerable populations in a decarbonized and electrified Canada. The project addresses the growing risks of urban heat and climate change, particularly for seniors and Indigenous communities, by leveraging sensors, artificial intelligence, and climate modeling to predict health impacts and inform city planning. The research aims to develop ene...