Cmu
Research Assistant - College of Engineering - Department of Mechanical Engineering
Pittsburgh, PA, USA · Part-time
Sponsorship not specifiedDetected 60 days ago
Machine LearningNLPComputer VisionDetection EngineeringMechanical DesignResearchAdaptability
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odds of building a lasting career here
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Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- Carnegie Mellon University is a private, global research university that stands among the world's most renowned education institutions.
- With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it.
- In addition, they are using their expertise in interdisciplinary research centers across the university.
Responsibilities
- Design and develop AI/ML models - including neural networks, convolutional neural networks (CNNs), and transformer architectures - tailored to manufacturing system applications.
- Build and train anomaly detection systems capable of identifying irregularities, faults, or deviations within manufacturing processes and equipment.
- Support expeditionary manufacturing initiatives for defense applications by integrating AI-driven detection and monitoring capabilities into manufacturing workflows.
- Develop AI/ML models (neural networks, CNNs, transformers) for manufacturing anomaly detection.
- Document and communicate research findings to support expeditionary manufacturing initiatives.
- If you're passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!
- You will contribute to the department by using AI models, neural networks, convolutional neural networks and transformer architectures to build manufacturing models that can detect anomalies.
Requirements
- 0-1 years of experience
- High School Diploma/GED
- A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.
Benefits
- Click here to view a listing of employee benefits
- You will also develop vision systems to detect objects, defects, and features that contribute to expeditionary manufacturing in defense.
- Develop computer vision systems to detect and classify objects, defects, and key features relevant to manufacturing quality control and inspection.
Company info
- At Carnegie Mellon, we value the whole package when extending offers of employment.
- We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity.
- We are looking for someone who shares our values and who will support the mission of the university through their work.
- Please visit " Why Carnegie Mellon " to learn more about becoming part of an institution inspiring innovations that change the world.
Equal opportunity
- Equal Opportunity Employer/Disability/Veteran.
This listing is sourced directly from Cmu's careers page and normalized into a canonical job model.