Rocket Engine Injector Modelling and Design Tools Development Intern
Pangea Propulsion ToulouseEst. Est. EUR 1,200–1,800 / monthInternship
Estimated range based on role, country and industry — not published by the company.
Key requirements
- Python
About Pangea Propulsion:
We are a company dedicated to developing advanced propulsion systems for the space industry based on three key principles: high efficiency, sustainability, and reusability. We are revolutionizing the space industry with ground-breaking innovations that allow us to offer the best performance to cost propulsion systems.
Our goal is to be the propulsion provider for the next generation of spacecraft, which is essential to meet demands and compete in the booming space market of the next decade.
We are a passionate, multicultural, and multidisciplinary team pushing the boundaries of what is possible in space propulsion technology.
We have already made history by successfully testing the world's first 3D-printed Methalox Aerospike engine, marking a significant milestone for the space industry.
We are looking for talented professionals to join our international teams in Barcelona and Toulouse. We want to be a key player in improving diversity in the Aerospace sector as, in Pangea, we believe that diversity (gender, age, race, sexual orientation, beliefs, disability, culture, etc.) is a key to success. Within Pangea, everyone can grow with the same opportunities. We encourage you to apply. Individually we are different, but together we are an amazing team!
We are looking for a Rocket Engine Injector Modelling and Design Tool Development intern for a 6-month internship in Toulouse.
About the role
We are looking for a motivated engineering intern to join our Combustion Devices team and contribute to the development of engineering tools supporting the design and analysis of liquid rocket engine injectors.
During this internship, you will work on computational tools to automate and accelerate the preliminary design and assessment of injector configurations.
Your work will focus on three main areas:
Injector layout & manifold modelling: develop tools to automate injector element layouts and associated fuel and oxidiser manifolds, based on geometrical, fluid-dynamic and engineering design rules.
Injector spray-pattern visualisation: develop a qualitative visualisation of spray/jet directions, cone angles, spatial coverage and interactions between neighbouring injector elements.
Face-plate thermal assessment: contribute to a physics-based methodology to assess thermal loads based on injector configuration, local mixture ratio, spray angle, injection conditions and combustion behaviour.
The developed tools will support the team in rapidly comparing injector configurations, identifying potential performance and thermal risks, and improving the overall preliminary design process.
Key Responsibilities
Review existing injector design methodologies, engineering rules and relevant technical literature.
Develop algorithms for automated injector layout and fuel/oxidiser manifold generation.
Implement engineering models and methodologies in MATLAB and Python .
Develop an injector spray-pattern visualisation tool.
Develop preliminary models to assess injector face-plate thermal loads.
Use relevant parameters such as injector configuration, local mixture ratio, spray angle and injection/combustion conditions.
Define relevant CFD analysis needs and interpret available CFD and experimental data.
Validate models and tools against available analytical, numerical, experimental or literature data.
Document methodologies, assumptions, limitations and recommendations for future development and integration into the Combustion Devices design process.
What you need to be successful
Final-year student or recent graduate in Aerospace Engineering, Mechanical Engineering, Energy Engineering, Applied Mathematics, Physics, Computer Science, Software Engineering , or a related technical field.
Strong programming skills, particularly in MATLAB and Python .
Good understanding of: Fluid mechanics
Thermodynamics and heat transfer
Numerical methods and computational modelling
Experience with data proces
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