Aerospace MDOD Researcher: Wing Design Tools & ML

Laplace Expert Ltd; Greater London; Remote; GBP 32,000 - 48,000; Full time

Job summary

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

Qualifications

• Experience with Python and JAX to build computational design tools.
• Experience with GPU-accelerated computing and ML is desirable.

Responsibilities

• Develop multidisciplinary aircraft-wing design tools linking aeroelasticity, structures, manufacturing constraints and optimization.
• Create computational pipelines connecting aeroelastic response, structural analysis and sizing within an early-stage design framework.

Skills

Python

JAX

Machine learning

GPU computing

Aeroelasticity

Job description

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