[Open
Position]: Post-doctoral Researcher on Combustion Modeling and Simulations at Purdue
University
Posted on: August 4, 2020
Updated on: September
13, 2020
Updated on: October 21, 2020 (The position has been filled. New applications will not be
accepted anymore.)
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.
Overview:
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.
Qualification:
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.
Application:
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:
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