Masterstudent (d/m/w) im Bereich Sensorfusion und Datenanalyse

About the Role

Airbus Defence and Space is looking for a Master's student (m/f/d) to support the development of air defence systems. This is an opportunity to complete your Master's thesis and gain practical experience in the field of sensor fusion and data analysis within the "Air Defence Assets Development" department.

Your Location

The role is based in Ulm, a city located between Stuttgart and Munich, offering a high quality of life with a variety of leisure and cultural activities.

Your Benefits

• Attractive compensation and a balanced work-life (35-hour week with flexible hours).
• International environment with global networking opportunities.
• Work with modern and diverse technologies.
• Be treated as a full team member, engaging in close collaboration and participating in weekly team meetings.
• Opportunity to join the Generation Airbus Community to expand your network.

Your Tasks and Responsibilities

• Analyze the prediction accuracy of Machine Learning approaches under restrictive conditions, especially with limited feature sets.
• Process the association of tracks from aerial and ground-based electro-optical and radar sensors, which are subject to significant platform, scenario, and sensor-specific interference.
• Conduct the training process of Machine Learning methods primarily based on synthetic data to address the limited availability of labelled real data.
• Develop and implement domain adaptation strategies to effectively transfer models trained on synthetic data to real data, ensuring practical applicability.
• Conceive and implement innovative deep learning models for track association based on sensor data from distributed platforms with multimodal sensing.
• Critically evaluate deep learning procedures to create a model robust against specified interference factors.
• Investigate the discrepancy between synthetic training data and real sensor data and its impact on model performance.

Required Knowledge and Qualifications

• Currently enrolled full-time student (m/f/d) in Computer Science or a related field.
• Good knowledge of Python and C++ under Linux.
• Experience in Machine Learning and Data Analysis.
• Experience working with sensor data and fusion algorithms.
• Independent and structured way of working.
• Team player.
• Fluent English skills required.
• Fluent German skills desirable.

Please upload your cover letter, CV, relevant certificates, and proof of enrollment.

This job requires an awareness of any potential compliance risks and a commitment to act with integrity.