ab sofort
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
Sagio GmbH
At SAGIO, we are dedicated to integrating cutting-edge AI innovations with the best of foundational problem-solving strategies. We embrace technology transparency and strive to merge advanced AI methods with proven engineering practices to create customiz
Felix Heilemann
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