Aerospace Modelling & Simulation Internship

Airbus; Filton; Hybrid; GBP 22,000 - 27,000; Full time

Benefits offered by this job

25 days holiday + BH

Hybrid working options

Half day Fridays

Job summary

Airbus seeks an undergraduate student for a 12.5-month internship in Filton, Bristol, within the Virtual Product Engineering team under UK CR&T. The role blends multidisciplinary design and optimisation with data-driven methods, offering hands-on engineering experience.

You will explore AI/ML, modelling tools, and demonstrate methods on real aircraft-related problems while gaining industry insight and potential future opportunities at Airbus.

Qualifications

• Studying towards a degree in Engineering, Computer Science, Mathematics, or equivalent.
• Experience in programming and willingness to apply Python to engineering modelling and ML problems.
• Ability to summarise findings in technical reports.
• Good team player with strong communication skills and ability to work independently.
• Fluency in English.

Responsibilities

• Support development of new approaches to enable rapid exploration of design options for future aircraft products.
• Utilise aerodynamics, structures and systems simulation methods to describe key disciplinary characteristics.
• Fuse data to enable Multi-Disciplinary Analysis and Optimisation.
• Explore AI/ML, Agent Based Modelling, and possibly Quantum Computing to enhance aircraft design exploration.
• Demonstrate approaches on an aircraft and air transport system related engineering problem.

Skills

Aerospace passion

Python programming

Technical report writing

Team player & communication

Fluent English

Problem solving

Education

Engineering/CS/Math student

Tools

Python

Job description

Airbus seeks an undergraduate student for a 12.5-month internship in Filton, Bristol, within the Virtual Product Engineering team under UK CR&T. The role blends multidisciplinary design and optimisation with data-driven methods, offering hands-on engineering experience.

You will explore AI/ML, modelling tools, and demonstrate methods on real aircraft-related problems while gaining industry insight and potential future opportunities at Airbus.