Postdoctoral Associate

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.

• PhD in Mechanical Engineering, Fire Protection Engineering, or related field. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.
• Experience in CFD, reacting flows, combustion, multi-mode heat transfer including radiation
• Independent problem solver
• Strong communication skills
• Demonstrated record of publishing
• Python programming

• Understanding of fire dynamics
• Understanding of material decomposition kinetics and using data to generate kinetic parameters
• Experience with Fire Dynamics Simulator software
• Experience with Open PNM
• Machine learning model development
• Experience with conducting experiments

Restricted

October 15, 2024 

The successful candidate will be required to have a criminal conviction check.

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