#R3780043
Specifically, apply your expertise in design and Large Eddy Simulation (LES) to execute modeling and simulation studies and analyses to extract and provide insights into key flow physics; compare against RANS, provide design guidance, and develop/update best practices
Technical leadership of a discipline or sub-discipline of global teams on multi-generational technology programs to enable future design advancements, while independently executing tasks leveraging your technical skills. Lead and deliver on technical projects with set timelines and cost, implement plans to meet technical requirements and assure proper documentation
Network and collaborate with both GE Aerospace business and research team members across multiple global teams to identify and shape opportunities for innovation, build plans for technical projects
Serve as a technical expert in the discipline/sub-discipline, and guide, mentor and coach members of the team to help meet program deliverables and objectives
Required Qualifications
Ph.D. in Aerospace/Mechanical Engineering specializing in Computational Turbomachinery Aerodynamics with Aeromechanics and / or Aeroacoustics with 10-12 years of experience OR M.S in Aerospace/Mechanical Engineering specializing in Computational Turbomachinery Aerodynamics with Aeromechanics and / or Aeroacoustics with at least 12-15 years of experience in applied research
Fundamental knowledge in turbomachinery aerodynamics / aeromechanics / aeroacoustics and relevant computational expertise
Demonstrated experience in using Large Eddy Simulation (LES) with in-house industrial or academic codes or in-commercial CFD codes
Programming skills [Python / MATLAB / FORTRAN /C /C++]
Oral and written communication skills, including excellent presentation skills
Demonstrated ability to lead cross-functional teams
Demonstrated project planning and execution rigor
Desired Characteristics
Experience in turbomachinery aerodynamics / aeromechanics / aeroacoustics
Experience in unsteady computational aerodynamics - URANS and LES modelling and applications; LES code development would be a plus
Experience in using large computer clusters to run large simulations
Programming skills in Python/MATLAB/FORTRAN/C/C++
Experience in detailed modeling of turbomachinery components (fans, compressor, turbines, inlets and exhausts)
Hands-on experience in designing fans, compressors and/or turbines, at various levels of fidelity
Experience in performing design trade-off studies and design optimization
Humble: respectful, receptive, agile, eager to learn
Transparent: shares critical information, speaks with candor, contributes constructively
Focused: quick learner, strategically prioritizes work, committed
Leadership ability: strong communicator, decision-maker, collaborative
Problem solver: analytical-minded, challenges existing processes, critical thinker
Additional Information
Relocation Assistance Provided: Yes