Argonne National Laboratory
 
Postdoctoral Appointee - CFD Modeling/Simulations
Requisition Number: 323617 	
Location: Lemont, IL
Functional Area: Research and Development 	
Division: ES-Energy Systems
Employment Category: Temporary 6 Months or Greater 	
Education Required: Doctorate Degree
Level (Grade): 700 	Shift: 8:30 - 5:00
	

Position Description

The Energy Systems Division is seeking a postdoctoral appointee to perform 
Computational Fluid Dynamics (CFD) simulations of Internal Combustion Engine 
(ICE) fuel spray, combustion, and emissions using High-Performance Computing 
(HPC) tools. The selected individual will develop two-phase flow models for 
coupling nozzle flow with spray simulations for diesel, gasoline, and alternate 
fuels of interest for ICE. This research will use high-fidelity turbulence 
models to improve two-phase flow predictions and incorporate state-of-the-art 
experimental measurements in improving the accuracy of two-phase flow models. 
In addition, the selected individual will import these two-phase flow 
simulations on supercomputing resources such as MIRA; identify and improve the 
bottlenecks in scaling the simulations. The research will involve synergetic 
collaborations with a multidisciplinary team involving engine modelers and 
experimentalists, and computational scientists to enhance the predictive 
capability of engine modeling codes.

Position Requirements

Successful candidates will have:

    A Ph.D. in mechanical/aerospace engineering, applied mathematics, or 
    chemical engineering with 0-1 year of experience or equivalent.
    Considerable knowledge and skill with multi-dimensional code development 
    (in Fortran/C/C++) for combustion applications, two-phase flows, turbulence 
    modeling, internal combustion engine theory and operation, and parallel 
    scientific computing is required.
    Good knowledge and skill in turbulent combustion modeling.
    Good knowledge and skill in large scientific code management and optimization.
    Good collaborative skills, including the ability to work well with other 
    ANL divisions, laboratories, and universities.
    Good skill in oral and written communication, including contributions for 
    the preparation of proposals, presentations, publications, and reports. 
    Some experience in interdisciplinary collaborative research is desirable.