Edge AI for Autonomous Hyperspectral UAV Systems

Sagio is dedicated to solving real-world challenges using the latest technologies, from hardware integration to multi-system, networked solutions. We reject legacy systems and are driven to create innovative, future-proofed solutions that redefine unmanned systems and sensor automation.

We are offering a bachelor / master thesis or working student opportunity (m/f/d) for motivated students who want to work on cutting-edge unmanned sensing technologies and applied machine intelligence.

The work focuses on the development of software systems for hyperspectral UAV-based anomaly detection, enabling autonomous identification of environmental and operational irregularities in complex real-world scenarios.

Scope of work

• Research and develop software pipelines for hyperspectral image processing.
• Design anomaly detection algorithms for UAV-acquired spectral data.
• Integrate hyperspectral sensors into unmanned aerial systems.
• Build real-time or near-real-time data processing workflows.
• Evaluate system performance in real-world test environments.
• Collaborate with experts in software, hardware, and autonomous systems.

Qualifications

• Currently enrolled in a Master’s program in Computer Science, Robotics, Electrical Engineering, or a related field.
• Proficiency in one programming language: Python, Julia, Rust, JavaScript / Svelte.
• Interest in machine learning, computer vision, or signal processing.
• Passion for working with the latest technologies.
• Experience in unmanned systems, remote sensing, or sensor fusion is a plus.

Our offer

• Work on innovative UAV and sensing technologies with direct real-world applications.
• Flexible working hours with remote work options.
• A supportive, innovative culture with close mentorship.
• Opportunity to contribute to future product development and research publications