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Job Record #17031
TitleCombustion Modeling & Control for Unmanned Aircraft Systems
CategoryPostDoc Position
EmployerUniversity of Minnesota
LocationUnited States, MN, Minneapolis
InternationalYes, international applications are welcome
Closure Date* None *
The University of Minnesota seeks outstanding candidates for multiple 
postdoctoral associates to carry out research in combustion modeling and control 
to develop reciprocating engine-based hybrid propulsion systems for Unmanned 
Aircraft Systems (UAS). Positions are generally up to two years but can be 
further renewed, depending on funding. The target start date is August 1, 2021, 
but applications will be reviewed until the positions are filled.
Basic qualifications: 
· A Ph.D. in Mechanical Engineering, Aerospace Engineering, or other closely-
related discipline from an institute in Northern America, Europe, or Australia. 
· Strong publication record as a first author in peer-reviewed journal papers.
· Ability and high self-motivation to work productively and ethically, both 
independently and as part of a diverse team.
· Excellent verbal and written communication skills in English
· Experience in helping to supervise undergraduate and/or graduate projects.
Description of the positions and the associated qualifications:
1st Position:Combustion Modeling and Simulation
Duty: Develop fast algorithms for multi-fidelity LES/RANS, reduced-order models 
and real-time data assimilation techniques, through both physics-based modeling 
and machine learning
Required qualifications: 
· Demonstrated experience in the modeling and simulation of turbulent 
· Demonstrated coding experience with chemical kinetics using platforms such as 
Cantera, ChemKin, and FlameMaster.
· Demonstrated experience with object-oriented programming using C++, Fortran 
90, and MPI.
Preferred qualifications: 
· Prior experience of coding in OpenFOAM and/or KIVA and/or UDF coding in 
CONVERGE   CFD for combustion CFD.
· Experience using OpenMP and/or CUDA and/or OpenACC.
· Experience in open-source machine learning libraries such as PyTorch and 
Lab information: Computational Reactive Flow & Energy Lab (CRFEL)
Contact: Prof. Suo Yang (
2nd Position:Combustion Control and Optimization
Duty: Design real-time control hardware and software to enable multi-fuel 
operation for UAS, including system modeling, real-time control hardware, 
sensing and   optimization, and experimental testing.
Required qualifications:
· Demonstrated experience in control-oriented modeling, linear and nonlinear 
control design.
· Demonstrated experience in control system implementation, including both 
hardware and software.
· Demonstrated experience with real-time control experiments, data collection 
and analysis.
Preferred qualifications: 
· Experience with powertrain system modeling and control.
· Experience with both model based and data driven control system design and 
· Experience   with automotive/UAS powertrain instrumentation and testing.
Lab information: Automotive Propulsion Control Laboratory (APCL)
Contact: Prof. Zongxuan Sun (
The postdocs will also have opportunities to participate in other exciting 
research conducted by both labs.
Application Materials:
· A detailed academic CV (including a list of publications).
· A brief statement that highlights the research interests and skills.
· One to three publications that you are most proud of. 
· Contact details of two/three references.
How to Apply
Interested prospective candidates should email the above application materials 
to Prof. Suo Yang ( or Prof. Zongxuan Sun ( 
depending on applying to which position.
Contact Information:
Please mention the CFD Jobs Database, record #17031 when responding to this ad.
NameSuo Yang
Email ApplicationYes
Address111 Church Street SE
Minneapolis, MN 55455, USA
Record Data:
Last Modified05:31:29, Friday, June 18, 2021

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