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Imperial College London seeks a Research Assistant/Associate to develop multidisciplinary aircraft-wing design tools for an Airbus-led ATI programme. The role focuses on connecting aeroelasticity, structures, manufacturing constraints and optimization within an early-stage design framework.
Python and JAX are central, with emphasis on machine learning and GPU computing. This research opportunity aims to influence future aircraft-wing design practices within a collaborative aerospace research
Imperial College London
England, United Kingdom
About This Opportunity
Imperial seeks a Research Assistant/Associate to develop multidisciplinary aircraft-wing design tools for an Airbus-led Aerospace Technology Institute programme linking aeroelasticity, structures, manufacturing constraints and optimization.
The researcher will create computational tools that connect aeroelastic response, structural analysis, manufacturing constraints, structural sizing and failure analysis within an early-stage design-optimization framework. Python and JAX are central, with machine learning and GPU computing also relevant. The work is closely linked to Airbus and is intended to influence future aircraft-wing design practice.
Level Researcher
Time Commitment Full-time
Reference Code ENG04036
Field Aircraft Multidisciplinary Design Optimisation