Research Engineer - Probabilistic Design

Job description

3351915
Additional Cities

Niskayuna
Career Level

Entry-Level
Relocation Assistance

Yes
Business

GE Corporate
Business Segment

Corporate Global Research
Function

Engineering/Technology
Country/Territory

United States
Additional States/Provinces

New York
Postal Code

12309-1027
Role Summary/Purpose

As a member of the probabilistic design team, you will contribute to the development of state-of-the-art probabilistic methods and engineering design tools, solving challenging real-world industry problems in the area of metamodeling/surrogates, machine learning, model calibration and validation, uncertainty quantification, optimization and robust design, inverse modeling, engineering analysis model validation for GE Aviation, Power, and Renewable businesses.
Essential Responsibilities

The successful candidate for this position will participate in developing state-of-the-art probabilistic and machine learning methods and tools to provide for world-class NPI and NTI and Services capabilities throughout the company.  You will work in a multi-disciplinary team contributing to the applications for performing prognostics and optimizing structures and systems under uncertainty for performance, weight and cost. Applications include turbo machinery, electrical machinery, energy generation and storage devices, medical imaging equipment, and similar mechanical systems. 

You will: 

·  Collaborate with GE business design and services communities in the development of methods for probabilistic design, machine learning and optimization 
·  Apply probabilistic design, machine learning and optimization methods to real-world industrial applications for NPI and NTI design and Services maintenance planning across GE businesses 
·  Implement probabilistic design, machine learning and optimization methods into GE internal design and services tools.
Qualifications/Requirements

·  Doctorate degree in Mechanical Engineering, Aerospace Engineering, or related discipline OR Master’s degree in Mechanical Engineering, Aerospace Engineering, or related discipline with at least 5 years industrial experience 
·  Experience in probabilistic design, and/or optimization of engineering components and systems 
·  Fundamental knowledge in probabilistic methods, Bayesian methods, and optimization applied to engineering design problems 
·  Fundamental understanding of solid mechanics and tools used in structural analysis such as ANSYS or similar FE software 
·  Ability to develop, modify and utilize custom computer codes in various languages such as Python, C++, Matlab, Visual Basic, Perl, R, etc  
·  Legal authorization to work in the U.S. is required. We will not sponsor individuals at the Masters level for employment visas, now or in the future, for this job opening 
·  Because of the specific categories of data handled by GE Research and the structure of our work environment, we are unable to accommodate employment of persons while they are considered nationals of embargoed countries subject to restriction under the US Export Administration Regulations (EAR), 15 CFR Section  746 et seq. (currently North Korea, Syria, Iran, Cuba, and Sudan). Please note that citizens of embargoed countries who have either “U.S. person” status under U.S. export control laws or subsequent citizenship from a non-embargoed country can be considered. 
·  Must be willing to work out of an office located in Niskayuna, NY  
·  Must be 18 years or older 
·  You must submit your application for employment through gecareers.com to be considered

Desired Characteristics

·  In-depth knowledge of mechanical design and analysis methods 
·  In-depth understanding of Dynamic Bayesian networks, Bayesian networks, uncertainty quantification, model calibration, verification & validation, updating and prediction, DOE/DACE, metamodeling, machine learning, sensitivity 
·  Experience with software development 
·  Experience with fracture mechanics 
·  Demonstrated interpersonal, leadership and communication skills in a global team environment 
·  Strong interpersonal skills and analytical skills 
·  Ability to work across all functions/levels as part of a team 
·  Ability to work under pressure and meet deadlines 
·  Excellent written and verbal communication skills

About Us

GE Research is GE's innovation engine where new ideas are originated, developed and productized to create a better world and deliver differentiated products across the company's industrial portfolio. These products span the aviation, power, transportation and health care sectors. 

Today, we're a forward leaning, interdisciplinary organization, matching world-class innovation with market insights and industry connections to move faster and deliver better outcomes for GE’s businesses and customers. 

We continue a strong track record in innovation and invention that began with our company's founder, Thomas Edison. GE scientists and engineers have distinguished themselves over time, amassing tens of thousands of patents, two Nobel prizes in chemistry and physics, and a list of inventions that have defined and redefined generation after generation. 

This rich legacy of delivering transformative innovation is thriving now more than ever.
 

Discover how we’re seeing, moving and creating the future at https://www.ge.com/research/, meet our innovation giants at https://www.ge.com/research/people, search our open positions at http://twitter.com/geresearchjobs, and connect with us on our social channels at https://twitter.com/GEResearch and https://www.linkedin.com/company/geresearch/.

GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is anEqual Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.
Additional Eligibility Qualifications

GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Primary Country

United States
Primary State/Province

New York
Primary City

Niskayuna