GE Aerospace Research Non-destructive Evaluation and AI Fellow Intern
- Contribute to research and development activities in the fields of inspection/nondestructive evaluation (NDE) techniques, image and signal processing, computer vision, and scientific machine learning.
- Work with an interdisciplinary team of researchers to demonstrate proof of concept of novel instrumentation and analysis tools to solve inspection problems in the aerospace industry.
- Participate in defining inspection project requirements, formulate plans for assigned tasks, and work directly with project leaders to track progress.
- Effectively communicate results by preparing written reports and delivering oral presentations.
- Current enrollment in a full-time Ph.D. program at a U.S. university pursuing degree in Aerospace/Mechanical Engineering, Electrical Engineering, Computer Science, Math, Physics, or related engineering field.
- Permanent legal authorization to work in the US is required. This role is restricted to U.S. persons. GE will require proof of status prior to employment.
- Willingness to work out of an office located in Niskayuna, NY.
- Minimum GPA 3.0 / 4.0 scale.
- Strong understanding of NDE with specific expertise in ultrasound or thermography.
- Strong knowledge of signal processing, computer vision, and deep learning.
- Medium-Advanced level proficiency in Python.
- Experience with deep learning frameworks like PyTorch and Tensorflow.
- Excellent teamwork and communication skills, with ability to conduct independent research.
- Demonstrate knowhow and experience in (1) thermographic and/or ultrasonic NDE/inspection, (2) signal/image processing, and (3) deep learning through research projects at the university or in the industry with record of publications in peer-reviewed journal or conference proceedings.
- Strong influencing skills with project teams and leadership.
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