Research Assistant - College of Engineering - Department of Mechanical Engineering

Carnegie Mellon University•Pittsburgh, PA

1d•Onsite

About The Position

Carnegie Mellon University’s Department of Mechanical Engineering is searching for a Research Assistant to join their team. This is an exciting opportunity for someone who thrives in an interesting and challenging work environment. 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. You will also develop vision systems to detect objects, defects, and features that contribute to expeditionary manufacturing in defense.

Requirements

Successful background check

Nice To Haves

Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University.
Effectively interact with a varied population of internal and external partners at a high level of integrity.
Shares our values and will support the mission of the university through their work.

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.
Develop computer vision systems to detect and classify objects, defects, and key features relevant to manufacturing quality control and inspection.
Support expeditionary manufacturing initiatives for defense applications by integrating AI-driven detection and monitoring capabilities into manufacturing workflows.
Conduct applied research on AI model performance, iterating architectures and training approaches to improve accuracy, robustness, and reliability in real-world manufacturing environments.
Develop AI/ML models (neural networks, CNNs, transformers) for manufacturing anomaly detection.
Collect and process manufacturing data to train and evaluate AI models.
Document and communicate research findings to support expeditionary manufacturing initiatives.
Other duties as assigned.