Research Assistant - College of Engineering - Department of Mechanical Engineering

Research Assistant - College of Engineering - Department of Mechanical Engineering

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. If you're passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!

Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University's Department of Mechanical Engineering, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In addition, they are using their expertise in interdisciplinary research centers across the university.

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 conducting research in the FORGE Lab on machine learning methods for predicting the influence of geometry-based boundary conditions on physics behavior, with applications in additive manufacturing and help develop and evaluate geometry-aware surrogate models and contribute to related publications.

Your core responsibilities will include:

• 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.

Flexibility, excellence, and passion are vital qualities within Carnegie Mellon University. Inclusion, collaboration and cultural sensitivity are valued competencies at CMU. Therefore, we are in search of a team member who is able to 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.

Qualifications:

• Bachelor's degree. Master's degree preferred.
• 0-1 years of experience
• Hands-on experience with deep learning frameworks, foundational machine learning knowledge.
• A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.

Requirements:

• Successful background check