Intern (m/f/d) Mathematical Modeling

Rocket Factory Augsburg - RFA; Augsburg; On-site; EUR 8,900 - 13,000; Full time

Benefits offered by this job

International environment

Flexible hours

Wellness program (EGYM)

20 days paid leave

RFA family events

Free parking

Job summary

Rocket Factory Augsburg - RFA in Augsburg invites motivated interns to join the Software Site Team. You will support high-performance engineering in aerospace with hands-on tasks across data analysis and tools development.

The role focuses on building models, Python tooling, CI/CD pipelines, and Monte Carlo simulations, requiring independence and strong English communication. This temporary position offers international collaboration and exposure to the New Space movement.

Qualifications

• Enrolled in Bachelor or Master studies in Aerospace Engineering, Applied Mathematics or related discipline
• Basics of statistics, analysis, model generation, and verification
• Experience working with Python, Git
• Knowledge of state-space representation and high fidelity statistics
• Fluent in spoken and written English (all day-to-day activities are performed in English)
• Able to work independently, with a hands-on mentality and a structured way of working

Responsibilities

• Build and maintain a detailed mathematical model to quantify and mitigate risks associated with our launch operations
• Develop pre- and post-processing python tools to support the flight safety analysis
• Implement CI/CD and Git pipelines for streamlined data analysis and cross-departmental collaboration
• Perform statistical analysis and Monte Carlo simulation

Skills

Python

Git

Statistics basics

Independent working

English fluency

Education

Bachelor's or Master's in Aerospace Engineering / Applied Mathematics

Tools

CI/CD tools

Job description

About Rocket Factory Augsburg

At Rocket Factory Augsburg (RFA), we have one clear goal: to create low-cost, flexible, and reliable access to space. We specialize in building small launch vehicles designed to deploy satellites into Low Earth Orbit (LEO) and beyond. Together with you, we aim to revolutionize space services and help improve life on Earth. Sounds interesting? Then join our journey and become part of the team driving the New Space movement in Europe.

About The Team

Our international and agile team is looking for a motivated Intern (m/f/d) to support our Software site team. Do you enjoy working in a dedicated, dynamic, and international environment focused on high-performance engineering solutions in aerospace technology? Then apply with us.

Your Tasks

• Build and maintain a detailed mathematical model to quantify and mitigate risks associated with our launch operations
• Develop pre- and post-processing python tools to support the flight safety analysis
• Implement CI/CD and Git pipelines for streamlined data analysis and cross-departmental collaboration
• Perform statistical analysis and Monte Carlo simulation

Your Qualifications

• Enrolled in Bachelor or Master studies in Aerospace Engineering, Applied Mathematics or related discipline
• Basics of statistics, analysis, model generation, and verification
• Experience working with Python, Git
• Knowledge of state-space representation and high fidelity statistics
• Fluent in spoken and written English (all day-to-day activities are performed in English)
• Able to work independently, with a hands-on mentality and a structured way of working

We offer

• Atmosphere: Experience life in an international & dynamic New Space start-up
• Flexibility: Fit your working schedule to your needs with flexible working hours
• Health: Sweat, stretch or squat it out with EGYM Wellpass
• Paid Time Off: 20 days annual leave and special leave days
• RFA Family: Join regular company and team events
• Parking: Free parking for car and bike

Insights

Ready to take the next step?

Join RFA and help build one of Europe’s most efficient launch systems. Work alongside 300+ colleagues from over 40 countries and take ownership from day one.

If you’re looking to grow, take responsibility, and contribute to making space more accessible, we’d love to hear from you.