PhD Research Intern, AI-Aided Engineering – 2027
Core
Researching novel AI methods for physical simulation and engineering design, focusing on neural operators, geometric representations, and large-scale learning.
Role type
PhD Research Intern (AI-Aided Engineering)
Builds
Novel AI methods for physical simulation and engineering design
Domain
AI for Science and Engineering (Physical Simulation, Geometric Modeling, Deep Learning)
Deliverable
research
Required skills
Python programming, PyTorch, Physical simulation (CFD, numerical solvers), Geometric modeling (CAD/NURBS), Large-scale deep learning model training
Preferred skills
Geometry encoding (meshes, point clouds, CAD), Agentic AI systems development
Technologies
PyTorch, Python, CFD, CAD/NURBS
Responsibilities
Research, design, and implement novel AI methods for physical simulation and engineering design; Collaborate with product groups to transfer research into practical applications
Seniority
Intern
