Join the European Space Agency as an intern in the System Engineering Section, where you will apply AI technologies to enhance Satellite-Based Augmentation Systems (SBAS) engineering. This role offers a unique opportunity to contribute to innovative space projects while gaining practical experience in a world-leading organization.

The European Space Agency (ESA) is seeking a motivated intern for its System Engineering Section to support the integration of Artificial Intelligence in SBAS (Satellite-Based Augmentation System) engineering. SBAS enhances the accuracy and reliability of GNSS (Global Navigation Satellite Systems) like GPS, and this internship focuses on leveraging AI to optimize system design, performance analysis, and anomaly detection.

As an intern, you will assist in developing AI models for predictive maintenance, data processing from satellite signals, and simulation of system behaviors. Your work will involve collaborating with engineers on requirements analysis, prototyping AI solutions, and testing them within the SBAS framework. This position provides exposure to ESA's mission-critical projects, including contributions to European space infrastructure.

The internship is ideal for students or recent graduates passionate about space technology and AI. You will work in a dynamic, international team in Toulouse, gaining insights into the full lifecycle of space systems engineering. ESA values innovation and teamwork, offering a platform to apply academic knowledge to tangible advancements in global navigation safety and efficiency.

• Currently enrolled in or recently graduated from a Bachelor's or Master's program in Computer Science, Aerospace Engineering, Artificial Intelligence, or a related field.
• Basic knowledge of AI and machine learning concepts, with experience in Python programming preferred.
• Familiarity with system engineering principles and satellite navigation systems is a plus.
• Strong analytical skills and ability to work in a multidisciplinary team environment.
• Proficiency in English; French is advantageous.
• Eagerness to learn and contribute to real-world space applications.

• Competitive internship stipend and support for relocation if needed.
• Access to state-of-the-art facilities and collaboration with top experts in space technology.
• Professional development opportunities, including training workshops and networking events.
• Valuable experience for future careers in aerospace and AI sectors.
• Flexible working hours and a supportive, international work culture.
• Potential for extension or full-time opportunities based on performance.