Graduation Assignment: Machine Learning

The Assignment

We invite an ambitious student to contribute to a project at the crossroads of aerospace engineering and machine learning. The assignment focuses on exploring how data-driven methods can support innovation in our ignition system technologies. Students will gain hands-on experience in applying machine learning techniques to real-world aerospace challenges, with access to unique datasets and expert supervision.

What You’ll Do

• Conduct research into applying machine learning within an aerospace context.
• Work with existing data and prepare it for analysis.
• Develop and test a tailored machine learning approach.
• Translate findings into actionable insights for APP.
• Summarize results in a professional report and final presentation.

Candidate Profile

• Student in Aerospace Engineering (or a related technical study at university level).
• Independent, proactive, and motivated.
• Strong analytical and problem-solving skills.
• Good communication skills in Dutch and English.

What We Offer

• A unique opportunity to work at the forefront of aerospace technology.
• Professional guidance in a supportive SME environment (~40 employees).
• A stimulating graduation project with real-world impact.
• Financial compensation.
• Flexible working hours and a duration of approximately six months (to be agreed).
• Location: APP headquarters in Klundert, 5 days per week.