Internship – AI-Based Semantic Mapping for Autonomous Driving
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Job Description
CARIAD automotive software intern researching radar-camera fusion and semantic mapping for autonomous driving. Developing and evaluating multimodal perception methods for complex vehicle environments.
Responsibilities:
- Eigenständige Erforschung neuer Ansätze zur Fusion von Radar- und Kameradaten
- Entwicklung und Bewertung von Methoden zur semantischen Szenenanalyse und/oder 3D-Szenenrepräsentation
- Planung und Durchführung von Experimenten
- Vergleich der Ansätze mit dem aktuellen Stand der Forschung
- Analyse der Ergebnisse und Ableitung von Erkenntnissen zur Verbesserung multimodaler Wahrnehmungssysteme
- Zusammenarbeit mit promovierten Forschenden an Forschungsprojekten zu Radar-Kamera-Fusion und semantischem Mapping für autonome Fahrzeuge
Requirements:
- Sehr gute akademische Leistungen
- Eingeschriebene:r Student:in der Informatik, Robotik, Elektrotechnik, Mathematik oder eines vergleichbaren Studiengangs
- Kenntnisse über Sensoren für autonomes Fahren sowie Messtechnik
- Programmierkenntnisse und praktische Erfahrung in Python und/oder C++
- Sehr gute Englischkenntnisse in Wort und Schrift
- Offen, teamorientiert und begeistert von autonomen Fahrsystemen sowie der Lösung anspruchsvoller technischer Herausforderungen
- Erste Forschungserfahrung, z. B. durch Praktika, Projekte, wissenschaftliche Veröffentlichungen oder Programmierwettbewerbe, ist von Vorteil
- Verfügbarkeit für 3–6 Monate und 35 Stunden pro Woche
Benefits:
- Möglichkeit zum Remote-Arbeiten innerhalb Deutschlands
- Vergütung: 13,90 € pro Stunde
- Unterstützung bei der Bewerbung für Menschen mit Behinderung
- Vielfältige und inklusive Arbeitsumgebung
- Gegenseitiges Vertrauen und Eigenverantwortung
- Transparenz und vielfältige Perspektiven
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