Job Description Summary

Job Description

• Develop standardized simulation process for unsteady complex 3D flows

• Perform CFD analysis to understand impact on aero and aeromechanical performance and articulate physics understanding in the form of flutter forced response etc.

• Develop high fidelity (LES) flow simulation process for current and future engine programs targeting components like Turbines Frames Fans Compressors Inlet and Exhausts

• Work collaboratively with global design team on process validation

• Leverage digital and machine learning techniques to improve capacity

• Assist building external funding proposals

• Make recommendations after analysis of the data using quality tools. Protect the Intellectual Property rights of the company

• Participate in sharing & documenting lessons learnt into relevant design practices & design boards

The Ideal Candidate

• Ideal candidate should have experience in turbomachinery aerodynamics & aeromechanics and CFD simulations methods (RANS LES)

Required Qualifications

• PhD/Post graduate degree in Aerospace/Mechanical Engineering

• Strong technical background in Fluid Dynamics Turbomachinery Aerodynamics & Aeromechanics and CFD methods (RANS LES)

• At least 5 years of hands-on experience on using commercial/in-house CFD tools in simulating turbomachinery flows and design applications

• Ability to own end-to end CFD processes involving CAD generation meshing case set up solver run user defined functions and post processing scripts

• Strong problem-solving skills self-learning abilities and shown track record for technical excellence

• Ability to work in a cross-functional environment with strong communication and presentation skills

Preferred Qualifications:

• Hands on experience of simulating complex unsteady multistage flows

• Exposure and understanding of higher fidelity CFD methods like Large Eddy Simulation (LES)

• Exposure to mesh morphing techniques and associated methodologies

• Excellent coding skills in Python/C

• Experience of using Machine learning methods and optimization techniques

• Be flexible and adapt to work on other critical priorities

At GE Aerospace we are always searching for great talent. While we mightnot have a specificjob for you today we want to know about you when we do. As actual openingsbecome available you may be contacted to discuss a potential opportunity.

At 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