INTERNSHIP DETAILS

Intern for Industrial Inspection Technology - CT simulation and experimentation

CompanyGE Aerospace
LocationBengaluru
Work ModeOn Site
PostedDecember 23, 2025
Internship Information
Core Responsibilities
The intern will support research work for industrial inspection by developing and deploying advanced data analysis solutions for industrial CT. Responsibilities include physics-based modeling, experimental execution, and data analysis and reporting.
Internship Type
full time
Company Size
157102
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
A new era is here, and we want you to be a part of it. We will now be sharing our content on our respective GE Aerospace and GE Vernova pages. Be sure to follow each to keep up with the future of aviation and energy.
About the Role

Job Description Summary

Support with research work for industrial inspection.

Job Description

Job Description

Company Overview


Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!

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.

Overview: We are seeking a highly motivated student with expertise in X-ray/CT physics and wave-material interaction to develop and deploy advanced data analysis solutions for industrial CT. You will translate physics-based insights into robust algorithms and tools across diverse detector technologies, geometries, and production use cases.

Responsibilities

  • Physics-based modelling: Model X-ray generation/transport, attenuation, scatter, beam hardening, and system blur; account for material anisotropy and microstructure.
  • Experimental execution: Plan/run CT experiments; configure source, filtration, geometry, and trajectories; perform detector and geometric calibration; enforce radiation safety.
  • Data pipelines and ML: Build production-grade pipelines for feature extraction, defect detection/classification/segmentation, and uncertainty quantification; deliver tested, documented code.
  • Data analysis and reporting: Process large datasets; apply normalization and artifact corrections; perform quantitative metrology; communicate results with clear visuals and metrics.
  • Signal processing (concise): Apply targeted denoising, deconvolution, scatter/beam-hardening correction, motion/ring/metal artifact mitigation, and reconstruction (FBP/FDK and iterative).

Required Qualifications

  • MS or PhD in Physics, Electrical/Mechanical Engineering, Imaging Science, Materials Science, or related field
  • Demonstrated expertise in X-ray/CT physics and wave–material interaction
  • Proficiency in statistical/data analysis and uncertainty quantification; Python or MATLAB

Preferred Qualifications

  • Tools: ASTRA, TomoPy, TIGRE, ODL; Geant4/MCNP; spekpy/spektr; COMSOL
  • Detector/system knowledge: Flat-panel, line, photon-counting; anti-scatter grids; bowtie filters; focal spot blur modelling
  • Domain knowledge: Metals, composites, ceramics; microstructure effects; operational impacts on image quality

Key Competencies

  • Physics-informed problem solving
  • Statistical rigor and data integrity
  • Experimental discipline and radiation safety

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

Relocation Assistance Provided: Yes

Key Skills
X-ray PhysicsCT PhysicsWave-Material InteractionData AnalysisPythonMATLABStatistical AnalysisMachine LearningSignal ProcessingExperimental ExecutionRadiation SafetyPhysics-Based ModellingFeature ExtractionDefect DetectionQuantitative MetrologyArtifact Correction
Categories
EngineeringScience & ResearchTechnology