Master Thesis Student (Autonomous Systems)

Location: On-site in Gilching, Bavaria, Germany

Company

hirify.global develops and produces small unmanned aerial systems, including electric vertical take-off and landing aircraft with edge computing and real-time AI-powered data processing.

What you will do

• Research and evaluate data-driven methods for safety-critical navigation applications.
• Analyse real-world sensor and flight-test data to identify patterns, anomalies, and improvement opportunities.
• Develop, train, and validate approaches in simulation and prototyping environments.
• Compare data-driven solutions with established model-based methods using representative scenarios and performance metrics.
• Collaborate with Navigation, Software, and Flight-Test departments and integrate selected concepts into the navigation framework.
• Document findings and communicate results through technical discussions, presentations, and a master’s thesis.

Requirements

• Currently studying robotics, aerospace engineering, computer science, electrical engineering, mathematics, or a comparable technical discipline.
• Practical experience with machine learning, data analysis, signal processing, state estimation, or autonomous systems.
• Interest in autonomous systems, aviation, robotics, and emerging technologies.
• Strong self-motivation, independence, and communication skills.
• English communication is required.

Culture & Benefits

• Flexible, trust-based working hours supporting work-life balance.
• Mobile working options alongside the on-site setup.
• Subsidised EGYM Wellpass membership and corporate discounts.
• Employee events and a sponsored daily lunch budget.
• Company shuttle service from Laim in Munich to the workplace.
• Inclusive environment focused on diversity, professional growth, and technological excellence.