Modelling and Simulation Placement (12.5 months)
Core
Support the development of new approaches for rapid exploration of design options for future aircraft products using simulation and optimization.
Role type
Undergraduate placement in multidisciplinary design and optimization
Builds
Future aircraft design solutions and engineering demonstrations
Domain
Aerospace engineering, simulation, and optimization
Deliverable
production ML models | product features
Required skills
Python programming, engineering modeling and simulation, optimization, machine learning, agent-based modeling, technical reporting
Preferred skills
AI/ML, quantum computing concepts, aerodynamics, structures, systems engineering
Technologies
Python, AI, Machine Learning, Agent Based Modelling, Quantum Computing
Responsibilities
Support development of new approaches for rapid design exploration; Utilize aerodynamics, structures, and systems simulation methods; Fuse data for multidisciplinary analysis and optimization; Investigate AI/ML and agent-based modeling techniques; Support demonstration of approaches on aircraft engineering problems
Seniority
Undergraduate student placement
