JOIN AERO TEAM.

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Do you want to be part of Eindhoven's big, ambitious drone team? Do you want to work in a team where students from various study programs come together to create solutions for aerial transportation? You can apply by filling in our interest form!

Within Aero Team Eindhoven you have the possibility and flexibility to choose how you want to contribute to our cause. With positions ranging from part-time options next to your studies to opting for a gap year as a board member, you have the flexibility to see what fits you and the team best. Like every other team, Aero requires a management subteam responsible for project management, finance, partners, etc. Are you into engineering? Aero has a wide variety of engineering teams, ranging from software to electronics and hardware.

Apply now!

Member spotlight

Quote from Bram Schut: Student teams are a good place to develop yourself in skills not taught in technical studies, like project management, presenting, getting funds, and motivating people!
Quote from Isa Dantuma: It is awesome to see that our hard work paid off and that this VR project is now ready to go to the next stage and be used in actual research!
Quote from Jai Wientjes: It's amazing to see how you can take an idea and turn it into a real, physical product in just one year.

Vacancies

Aero team member performing management tasks
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As a management member, you are responsible for coordinating a big team together with a group of passionate and diverse students. Here you can tackle a variety of exciting problems and have the possibility to take on several different roles.
Aero team member performing engineering tasks
Engineering
As an engineer you are in charge of researching, designing and developing technology for the future of aerial transportation. You will be working together in a multidisciplinary team of students of various backgrounds towards a single goal.
Aero team member performing programming tasks
Software & AI
As a member of the Software and AI team at Aero Team Eindhoven, your role would be critical in designing and developing the software and algorithms that enable our drones to fly autonomously, using technologies such as machine learning and computer vision.