Research Assistant - College of Engineering - Department of Mechanical Engineering
About The Position
Carnegie Mellon University's Department of Mechanical Engineering is searching for a Research Assistant to join their team in the FORGE Lab. This role involves conducting research on machine learning methods for predicting the influence of geometry-based boundary conditions on physics behavior, with applications in additive manufacturing. The Research Assistant will help develop and evaluate geometry-aware surrogate models and contribute to related publications. The university values flexibility, excellence, passion, inclusion, collaboration, and cultural sensitivity, seeking a team member who can interact effectively with diverse internal and external partners with high integrity and support the university's mission.
Requirements
- Bachelor’s degree.
- 0-1 years of experience
- Hands-on experience with deep learning frameworks, foundational machine learning knowledge.
- Successful background check
Nice To Haves
- Master’s degree preferred.
Responsibilities
- Conduct research under PI supervision
- Contribute to manuscripts and lab activities
- Present results at lab meetings
- Develop neural network models for geometry representation (point clouds, meshes, or neural fields) applied to physical surrogate modeling.
- Generate and curate training data from numerical simulations of manufacturing processes.
- Document methods and results for publications and technical reports.
Benefits
- Comprehensive medical, prescription, dental, and vision insurance
- Retirement savings programs
- Tuition benefits
- Generous paid time off and holidays
- Life and accidental death and disability insurance
- Free Pittsburgh Regional Transit bus pass
- Access to our Family Concierge Team to help navigate childcare needs
- Fitness center access
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
