Intern for Industrial Inspection Technology - CT simulation and experimenta at GE Aerospace

, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

25 Mar, 26

Salary

0.0

Posted On

25 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

X-ray Physics, CT Physics, Wave-Material Interaction, Data Analysis, Python, MATLAB, Statistical Analysis, Experimental Execution, Signal Processing, Machine Learning, Feature Extraction, Defect Detection, Quantitative Metrology, Radiation Safety, Physics-Based Modelling, Data Pipelines

Industry

Aviation and Aerospace Component Manufacturing

Description

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 Compensation Grade OTHSAL Relocation Assistance Provided: Yes

Responsibilities

The intern will support research work for industrial inspection by modeling X-ray generation and transport, planning and executing CT experiments, and building data pipelines for analysis. They will also process large datasets and communicate results effectively.