Job Description Summary

Job Description

GE Vernova Advanced Research has one opening for a Research Engineer role in Non-destructive Technologies.

The focus of the role is to develop key cutting-edge NDE technologies for Industrial Inspections for all of GE Vernova’s products through the full product life cycle, including manufacturing, field services and repair. Key functions include

• Design of inspection probes/sensors, physics-based modeling, inspection planning, experimental validation, field experimentation and inspection optimization.
• Development of inspection techniques for various applications from raw materials to manufactured components to in-service part inspection.
• Integration of inspection data processing algorithms and software including system capability analysis (probability of detection), signal/data analytics, imaging, data fusion and workflow algorithms.
• Development of new NDE technologies for health monitoring, damage detection and material characterization.
• Network and collaborate with both GE Vernova product engineers and with GE Global Research team members to build plans and execute on technical projects
• Deliver on technical projects with set timelines and cost, implement plans with minimal guidance to meet technical requirements and assure proper documentation of the same
• Demonstrated ability to quickly learn new, unfamiliar product knowledge, technology areas
• Reach out and connect regularly with business stakeholders to understand the inspection needs and scope and execute programs.
• Excellent oral and written communication skills

Qualifications/Requirements

• PhD  degree in Physics/ Engineering with 2 plus years of post Ph.D experience in NDE or Masters degree in Sciences/Engineering with 5 plus year of Post Masters experience
• Fundamental knowledge of NDE concepts and techniques, with hands-on and deep domain expertise in eddy current, ultrasound, microwave and other inspection modalities.
• Exposure to physics-based modeling for eddy current probe design
• Hands-on experience with ability to set up and run experiments. Basic background on hardware and instrumentation is essential.
• Demonstrated ability to formulate, plan and conduct research projects with specific objectives and milestones with financial constraints.
• Demonstrated ability to work in team-oriented research environment. 
• Demonstrated ability of idea generation
• Solid understanding of material degradation/failure mechanisms under various conditions and detection of the same through relevant NDE techniques.
• Solid understanding of manufacturing processes, quality and field issues for turbomachinery and wind turbine components
• Demonstrated ability to analyze and resolve problems.
• Leading research work with cross-technology teams
• Be aware of current and emerging trends in digital technologies - AI & ML. Proactively combine physical and digital techniques to drastically improve delivery (speed, cost, scope or efficiency) of their solutions

Desired Characteristics

• Solid understanding of gas turbine, steam turbine, wind turbine  components and the operating conditions
• Solid knowledge of typical manufacturing processes of turbomachinery and wind turbine components
• Strong interface and collaboration with Industry and Academia
• Strong track record of IP generation: Patents and Publications
• Demonstrated ability to work independently as well as in a team environment as “ONE TEAM”
• Demonstrated initiative, accountability and ownership of assigned tasks.
• Curiosity and appreciation for role of inter-disciplinary technologies in the product development and the overall “Big Picture”
• Strong understanding of Materials and their Properties that influence the mechanical design.
• Understanding of Energy Transition Space and technologies/solutions to navigate the transition
• Solid understanding of Technology Readiness Levels and Technical Competitive Assessment
• Passion towards Innovation, Emerging Technologies, IP Landscape, White Space identification and Patents
• Curiosity to learn and apply AI/ML concepts in engineering design and analysis

Additional Information