Research Engineer Aerothermal Sciences

GE Aerospace

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profile Job Location:

Bengaluru - India

profile Monthly Salary: Not Disclosed
Posted on: 10 hours ago
Vacancies: 1 Vacancy

Job Summary

Job Description Summary

As a Research Engineer - Aerothermal Sciences you will apply your knowledge of fluid dynamics numerical methods and multiphase flows to develop innovative aero-thermal/aero-mechanical solutions in the context of engine dynamics technology and development programs for GE Aerospace applications. You will interact with personnel at GE Aerospace and GE Aerospace Research to develop and deliver novel solutions aligned with GE Aerospaces goals of shaping the future of flight.

Job Description

Site Overview


Established in 2000 the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents pioneering breakthroughs in engine technologies advanced materials and additive manufacturing.

Roles and Responsibilities

  • Apply your knowledge in fluid mechanics numerical methods and multiphase flows to develop innovative aerothermal/aero-mechanical solutions for system dynamics and gearbox fluid dynamics technologies on next-generation GE Aerospace products.
  • Deliver on technical projects with guidance to meet project requirements
  • Participate in a team on technology programs to enable future design advancements while demonstrating independence in executing tasks leveraging your technical skills

Ideal candidate:

Should have experience in fluid mechanics numerical methods and multiphase flows to develop innovative aerothermal/aero-mechanical solutions for system dynamics and gearbox fluid dynamics technologies on next-generation GE Aerospace products.

Required Qualifications

  • Ph.D. in Aerospace/Mechanical Engineeringspecializing in Computational Fluid Dynamics Aerodynamics / Aeromechanics and /or Multiphase Flows.
  • Fundamental knowledge in fluid dynamics multiphase flows and relevant computational expertiseand drawing physical insights thereof.
  • Demonstrated competence andexperience in code development using C C Python
  • Demonstrated experience in using in-house codes or commercial CFD codes and meshing tools.
  • Demonstrated ability to quickly learn new unfamiliar technology areas.
  • Experience in using large computer clusters to run large simulations.
  • Excellent oral and written communication skills
  • Demonstrated ability to work independently and in a team environment

Desired Characteristics

  • Experience in mechanical systems engineering focused on computational techniques for lubrication and damping technologies
  • Experience in developing reduced order models based on foundational understanding of gearbox fluid dynamics
  • 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.

GE Aerospace we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here you will have the opportunity to work on really cool things with really smart and collaborative people. Together we will mobilize a new era of growth in aerospace and defense. Where others stop we accelerate.

Additional Information

Relocation Assistance Provided: Yes

Job Description SummaryAs a Research Engineer - Aerothermal Sciences you will apply your knowledge of fluid dynamics numerical methods and multiphase flows to develop innovative aero-thermal/aero-mechanical solutions in the context of engine dynamics technology and development programs for GE Aerosp...
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Key Skills

  • Robotics
  • Machine Learning
  • Python
  • AI
  • C/C++
  • OS Kernels
  • Research Experience
  • Matlab
  • Rust
  • Research & Development
  • Natural Language Processing
  • Tensorflow

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