This postdoctoral position in thermal-fluids sciences is associated with multi-physics modeling in reacting flows involving both computational fluid dynamics (CFD) and pore-network models. This modeling will be used in simulations of wildland fire applications with a specific focus on predicting the burning of firebrand piles and subsequent ignition of structures. In this position, new models will be created to expand the physics in the open-source pore network model Open-PNM to predict reacting flows and their associated physics. This will include development of new subroutines and models based on physics and machine learning algorithms.