POWERTECH is a center of excellence for propulsion technologies, specializing in the design, engineering, and manufacturing of combustion engines, expendable turbojet engines, and turbofan engines for a wide range of aerospace, defence, and autonomous applications, including fixed- and rotary-wing UAVs and other advanced platforms.
Position Overview
Powertech’s Technology Development Team is seeking a Fluid and Heat Transfer Simulation Engineer-II to support the research, development, and maturation of advanced propulsion systems for military applications. This role focuses on high-fidelity simulation of combustion aerodynamics and heat transfer for low-speed and high-speed combustion systems, supporting technology advancement from TRL 1 through TRL 7.
The position requires deep expertise in complex CFD, LES, thermo-fluids, and Multiphysics modelling, with a strong emphasis on combustion system optimization, cooling reduction, physics-based understanding, and workflow development. The engineer will evaluate novel combustor concepts and apply innovative and data-driven simulation techniques to advance next-generation fluid systems.
Key Responsibilities
Simulation & Analysis
Conduct advanced CFD simulations for combustion aerodynamics and heat transfer, including low-speed and high-speed combustion regimes
Perform steady and unsteady simulations, including complex Large Eddy Simulations (LES) using STAR-CCM+ and ANSYS FLUENT
Execute thermoacoustic analyses to assess combustion instability and system coupling
Perform conjugate heat transfer (CHT) analyses to evaluate thermal loads, cooling effectiveness, and component durability
Support turbomachinery and aerodynamic simulations using high-fidelity numerical methods
Combustion System Development
Conduct simulations and analysis for combustor development, including cooling strategies, heat transfer, and CFD-based combustion modelling
Optimize combustion systems to improve performance, efficiency, and reduce cooling requirements
Perform deep physics-based investigations of combustion, flow structures, heat transfer, and acoustic interactions
Evaluate new combustor concepts and innovative propulsion technologies, applying analytical and numerical method
Design, Validation & Collaboration
Apply numerical design and optimization tools for fluid, combustion, and turbomachinery systems
Develop and standardize robust workflows for LES and advanced thermo-fluid simulations
Collaborate closely with aerodynamics, thermal systems, structures, materials, and design teams to define boundary conditions, interfaces, and performance criteria
Technology Development
Advance internal modelling strategies and validation methodologies for complex physical phenomena in propulsion combustion systems
Support propulsion technology maturation across TRL 1–7, from fundamental research through subsystem and prototype demonstration
Contribute to technical reports, design reviews, proposals, and internal technology roadmaps
Required Qualifications
PhD or MS in Aerospace Engineering, Mechanical Engineering, or a related field
3–7 years of relevant industry or research experience in combustion, heat transfer, CFD, or propulsion systems
Strong experience with complex CFD calculations, including steady and unsteady flows
Demonstrated expertise in LES modelling, including setup, execution, and post-processing
Proficiency with STAR-CCM+ and ANSYS FLUENT
Experience with thermoacoustic and conjugate heat transfer (CHT) analysis
Solid understanding of combustion aerodynamics, thermo-fluids, and heat transfer physics
Ability to develop repeatable, automated simulation workflows
Preferred Qualifications
Experience with military or defence propulsion systems
Familiarity with Open FOAM, custom UNIX/Linux-based workflows, and scripting or programming for simulation automation and data analysis
Experience working in low-TRL research environments
Background in combustion system optimization, thermal management, and cooling design
Experience applying data-driven, machine-learning, or reduced-order modeling techniques
Experience supporting experimental rig testing and model validation
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