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We're always looking to get in touch with talented students at all levels, ranging from undergraduate students to recent PhD graduates. If you feel that multiphase flow modelling and physics match your scientific interests, please feel free to get in touch even if there is no particular project advertised.
Modelling polydisperse multiphase flows [PhD or MSc]
Polydisperse multiphase flows are systems where multiple distinct phases, such as solid particles, droplets or bubbles of varying sizes and/or properties coexist and interact dynamically. These flows are ubiquitous in both natural and industrial processes, ranging from cavitation bubble clusters in pulsed nuclear fusion machines to the production of high-purity metal powders for additive manufacturing and semiconductors. Their complex nature, involving diverse particle interactions, as well as mass, momentum and heat transfer makes them a challenging but exciting area of research. Studying these systems offers the opportunity to develop new modeling and computational techniques, uncover fundamental physical principles, and ultimately drive advancements in energy production, environmental management, and materials engineering.
The objective of this PhD or MSc project is to develop new and improved computational methods for predicting polydisperse multiphase flows based on a Euler-Euler method and accounting for the statistical distribution of the properties (e.g. size, shape, temperature) of solid particles, liquid droplets and/or gas bubbles. These computational methods are then applied to predict challenging disperse multiphase flows in innovative applications related to particle treatment and energy production. This work will be conducted using state-of-the-art CFD codes developed at Polytechnique, in close collaboration with our industrial partners as well as other numerical and experimental groups at Polytechnique, in Canada and abroad.
The successful candidate has:
A strong academic background in fluid dynamics and numerical modelling.
A university degree in mechanical engineering, aerospace engineering, chemical engineering, or a related discipline.
Programming experience, preferably in C++, related to numerical modelling.
A proactive, team-oriented and curiosity-driven work attitude.
An affinity for fluid mechanics, numerical modelling and scientific computing.
Excellent written and verbal communication skills in English.
French skills are a benefit.
The successful candidate will commence their studies in January 2026.