We at Volocopter are pioneers in the development of electrical air taxis that take off and land vertically (eVTOLs). We bring Urban Air Mobility to life, by establishing air taxis in addition to current transportation options in megacities globally. Our aim is to offer affordable on-demand air taxi services and save people time by flying them safely to their destination. In 2011 we performed the first-ever manned flight of a purely electrical multicopter and have since showcased numerous public flights with its full-scale Volocopter (www.volocopter.com).

You will be working with the Autonomy team on one of our key functions and be responsible for your own work package within one of the following fields:

Your Tasks:

• Sensors selection, evaluation and fusion
• Development of alternate navigation concepts
• Modelling of the navigation system and simulation (i.e.  in Simulink, Gazebo, AirSim, etc.)
• Navigation solutions in GNSS denied environment
• Detect and avoid capabilities
• Handling of big data and related data science applications
• Backend tool development for an Urban Air Taxi Operation
• Use of external databases (ATM, weather, city maps, …) to optimize the operation of Volocopters
• Application of computer network techniques for Volocopter operations optimization

• You are currently completing your master studies in computer science, autonomous systems, robotics, aerospace technology or similar
• You are available for at least 4 months
• You are a communicative team player and have organizational and implementation power
• You have a responsible, initiative and solution-oriented way of working
• You have experience with C/C++ and Python or Matlab
• You have experience with at least one statistical toolbox in Python or Matlab
• Experience in Vision, RF or Inertial Navigation is a plus.

Our Offer:

• Fast-growing high tech company with a supreme network of investors and partners
• Ability to contribute directly to the future of aviation
• The chance to build up new things/projects from scratch
• Personal responsibility, growth and learning opportunities, based on your personal strengths
• An inspiring working environment with modern workspaces, flexible work time, short lines of communication, flat structures, positive leadership, great team spirit
• Competitive salary package