Intern / Thesis – Learning-based Radar-Camera Fusion for Simultaneous Localization & Mapping

This is a fully remote position, open to applicants in Germany.

📋 Description

• Conduct a review of the latest literature concerning advanced algorithms and datasets.

• Implement and assess deep learning or geometric SLAM techniques for baseline comparisons.

• Create and analyze fusion pipelines integrating radar and camera data.

• Test and verify outcomes using real-world automotive datasets.

⛳️ Requirements

• Outstanding academic performance.

• Currently pursuing a degree in Computer Science, Robotics, Electrical Engineering, Mathematics, or a related discipline.

• Knowledge of sensors utilized in autonomous driving and measurement technologies.

• Programming proficiency in Python and/or C++.

• Strong command of both spoken and written English.

• Demonstrated commitment, initiative, and capability to collaborate effectively within a team.

🏝️ Benefits

• Options for remote work within Germany.