Intern/Thesis - Learning-based Radar-Camera Fusion for Simultaneous Localization and Mapping (f/m/d)
Intern/Thesis - Learning-based Radar-Camera Fusion for Simultaneous Localization and Mapping (f/m/d)
Intern/Thesis - Learning-based Radar-Camera Fusion for Simultaneous Localization and Mapping (f/m/d)
Intern/Thesis - Learning-based Radar-Camera Fusion for Simultaneous Localization and Mapping (f/m/d)
CARIAD SE
Automobile und Zweiräder
Mönsheim
- Art der Beschäftigung: Vollzeit
- Hybrid
Intern/Thesis - Learning-based Radar-Camera Fusion for Simultaneous Localization and Mapping (f/m/d)
Über diesen Job
Intern/Thesis - Learning-based Radar-Camera Fusion for Simultaneous Localization and Mapping (f/m/d)
Intern/Thesis - Learning-based Radar-Camera Fusion for Simultaneous Localization and Mapping (f/m/d)
Job ID: 29016
Company: CARIAD SE
Location:
Mönsheim, DE, 71297
Department: Apprenticeship & Study
Career Level: Students
Working Model: Full-time
Contract Type: Fixed-term
Remote Working: By agreement
Posting Date: Oct 1, 2026
Intern/Thesis - Learning-based Radar-Camera Fusion for Simultaneous Localization and Mapping (f/m/d)
We are CARIAD, the automotive software company of the Volkswagen Group. Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche – supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone.
Join us and be part of this exciting journey!
YOUR TEAM
You will join our ground truth generation team working at the intersection of academia and industry. Working closely with our PhD researchers, you will contribute to ongoing research on radar-camera fusion and robust simultaneous localization and mapping (SLAM) for autonomous vehicles. Together, we tackle challenging problems in radar-camera state estimation, robust localization, consistent map generation, and cross-modal alignment between vision and radar data. Our goal is to advance multi-modal SLAM algorithms that combine complementary sensing characteristics to enable reliable localization and mapping in complex driving environments under all weather and lighting conditions.
WHAT YOU WILL DO
Independently investigating novel approaches for radar-camera fusion
Developing and evaluating methods for robust state estimation, localization and/or 3D map generation
Designing experiments and comparing your approach against state-of-the-art methods
Analyzing results and deriving insights for multi-modal SLAM algorithms
WHO YOU ARE
Excellent academic performance
Enrolled student in Computer Science, Robotics, Electrical Engineering, Mathematics or equivalent
Know-how of relevant sensors for autonomous driving and measurement technology
Programming knowledge and experience in Python and/or C++
Confident in English in both oral and written form
Open-minded team player, passionate about self-driving technologies and solving hard problems
- First research experience (e.g., internships, projects, papers, or coding competitions) is a plus
NICE TO KNOW
Remote work options within Germany
Duration: 3 - 6 months
35 h/week
Salary: 13,90 €/hour
At CARIAD, we embrace individuality and diversity because we believe our differences make us stronger. We actively seek to build teams with a variety of backgrounds, perspectives, and experiences. Our goal is to create an environment where everyone feels valued and empowered to contribute. If you need assistance with your application due to a disability, please reach out to us at careers@cariad.technology - we are happy to support you.
We are CARIAD, the automotive software company of the Volkswagen Group. Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche – supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone.
Join us and be part of this exciting journey!
YOUR TEAM
You will join our ground truth generation team working at the intersection of academia and industry. Working closely with our PhD researchers, you will contribute to ongoing research on radar-camera fusion and robust simultaneous localization and mapping (SLAM) for autonomous vehicles. Together, we tackle challenging problems in radar-camera state estimation, robust localization, consistent map generation, and cross-modal alignment between vision and radar data. Our goal is to advance multi-modal SLAM algorithms that combine complementary sensing characteristics to enable reliable localization and mapping in complex driving environments under all weather and lighting conditions.
WHAT YOU WILL DO
Independently investigating novel approaches for radar-camera fusion
Developing and evaluating methods for robust state estimation, localization and/or 3D map generation
Designing experiments and comparing your approach against state-of-the-art methods
Analyzing results and deriving insights for multi-modal SLAM algorithms
WHO YOU ARE
Excellent academic performance
Enrolled student in Computer Science, Robotics, Electrical Engineering, Mathematics or equivalent
Know-how of relevant sensors for autonomous driving and measurement technology
Programming knowledge and experience in Python and/or C++
Confident in English in both oral and written form
Open-minded team player, passionate about self-driving technologies and solving hard problems
- First research experience (e.g., internships, projects, papers, or coding competitions) is a plus
NICE TO KNOW
Remote work options within Germany
Duration: 3 - 6 months
35 h/week
Salary: 13,90 €/hour
At CARIAD, we embrace individuality and diversity because we believe our differences make us stronger. We actively seek to build teams with a variety of backgrounds, perspectives, and experiences. Our goal is to create an environment where everyone feels valued and empowered to contribute. If you need assistance with your application due to a disability, please reach out to us at careers@cariad.technology - we are happy to support you.
Unternehmens-Details
CARIAD SE
Automobile und Zweiräder