Purdue University CEPL logoComputational Energy and Propulsion Laboratory (CEPL)

[Open Position]: Post-doctoral Researcher on Combustion Modeling and Simulations at Purdue University

Posted on: August 4, 2020

Updated on: August 4, 2020

We will start reviewing the applications that we have received soon. If you are interested, please send your applications as soon as possible in order to receive a full consideration. We expect to make a decision in October or early November 2020 at the latest.


The Computational Energy and Propulsion Lab (CEPL) in the School of Aeronautics and Astronautics at Purdue University invites application for a post-doctoral researcher to conduct research in the area of combustion modeling and simulations. The main responsibility is to improve an in-house CFD modeling code and to perform high-fidelity parallel simulations of a laboratory-scale combustion rig. The position is available for one year, with a possibility for renewal for another year contingent upon satisfactory performance and funding. The anticipated starting date is January 2021 at the latest. Early starting date is possible.


Individuals with expertise in turbulence and combustion modeling are encouraged to apply. All candidates must have strong, demonstrated research capability, be a good team player, excellent English written and spoken communication skills, and a Ph.D. in a relevant field (including but not limited to mechanical engineering, chemical engineering, and aerospace engineering), completed within the last three years or soon to be completed.

Highly qualified candidates are sought with the following qualities and expertise:

        Expertise in CFD simulations for turbulence with RANS and/or LES.

        Expertise in combustion models (e.g., transported PDF method, flamelet models).

        Experience in high-performance computing and data analysis.

        Knowledge in chemical kinetics and fundamentals of turbulence and combustion.

        Advanced computer programming skills in FORTRAN and/or C/C++ and MPI parallelization.

        Knowledge in machine learning and data-driven modeling is a plus.


To apply, please email your detailed CV along with the contact of three references in a single PDF file to haifeng@purdue.edu. The subject line of your email should read like this: PURDUE POSTDOC APPLICATION: [Last Name], [First Name] with [Last Name] and [First Name] replaced by your name.


Questions regarding the position should be directed to:

Professor Haifeng Wang

ARMS 3313

School of Aeronautics and Astronautics

Purdue University

701 West Stadium Avenue

West Lafayette, IN 47907, USA