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

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

📋 Description

• Conduct independent research to explore innovative methods for integrating radar and camera data.

• Develop and assess techniques for accurate state estimation, localization, and/or 3D mapping.

• Plan and execute experiments while benchmarking approaches against the current leading methodologies.

• Analyze findings and derive insights to enhance multimodal SLAM algorithms.

• Engage in research initiatives focused on radar-camera fusion and robust SLAM for autonomous vehicles.

• Collaborate with PhD researchers bridging the gap between academia and industry.

⛳️ Requirements

• Outstanding academic record.

• Current enrollment in Computer Science, Robotics, Electrical Engineering, Mathematics, or a related field.

• Familiarity with sensors used in autonomous driving and measurement methodologies.

• Proficient programming skills and hands-on experience in Python and/or C++.

• Strong proficiency in both written and spoken English.

• Open-minded, team-oriented, and enthusiastic about autonomous driving systems and addressing complex technical challenges.

• Prior research experience, such as internships, projects, scientific publications, or participation in programming competitions, is a plus.

🏝️ Benefits

• Flexibility to work remotely within Germany.

• Competitive compensation of €12.82 per hour.

• 35-hour work week.

• A diverse and inclusive workplace culture.

• Assistance with applications for individuals with disabilities.