Internship / Thesis - Safety-Critical KPIs for Perception, Tracking & Planning (f/m/d)
Apply now7 days agoTech
Internship / Thesis - Safety-Critical KPIs for Perception, Tracking & Planning (f/m/d)
Estimated take-home: €879/mo+See Tax Calculator →
See salary stats for Ingolstadt →Ready to apply?
You will be taken to the company's application page to apply directly.
scikit-learnPytorchGeometricAlgorithmic DevelopmentData AnalysisProbabilistic ModellingVehicle Dynamics3D Object DetectionMultiobject TrackingComputer VisionDeep LearningExperimental DesignPyTorchPythonMotion ForecastingResearch Literature Review
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
To support our “ADAS/AD Predevelopment” team, we are currently looking for an intern or thesis student. Our department develops software for autonomous driving in urban environments. Within this department, we are a team of ambitious, highly motivated experts in environmental perception for self-driving vehicles.
What You Will Do
Join us and be part of this exciting journey!
YOUR TEAM
To support our “ADAS/AD Predevelopment” team, we are currently looking for an intern or thesis student. Our department develops software for autonomous driving in urban environments. Within this department, we are a team of ambitious, highly motivated experts in environmental perception for self-driving vehicles.
What You Will Do
- Support one of our PhD students in advancing safety-critical 3D object detection, tracking, and situational awareness for autonomous driving
- Summarize research literature related to your research project
- Develop and prototype algorithmic ideas that improve safety-critical perception by incorporating feedback from downstream modules such as motion forecasting and planning
- Design and implement evaluation metrics that translate perception errors into physically meaningful safety costs - going beyond standard mAP/recall
- Conduct comprehensive experiments on internal as well as public datasets
- Enrolled student in computer science, machine learning, automotive engineering,
- Solid theoretical and practical foundations in computer vision, machine learning,
- Experience in any of the following is a strong plus: 3D object detection, multiobject tracking, motion forecasting, probabilistic modelling, or vehicle dynamics.
- Proficiency in Python and deep learning frameworks (PyTorch, scikit-learn, PytorchGeometric)
- Structured and independent work, above-average commitment and flexibility is
- Strong communication skills and analytical understanding
- Remote work options within Germany
- Duration: 6 months
- 35-hour week
- Salary: 13,90 €/hour
NewInternshipGerman
NewWorking StudentEnglish & German
NewWorking StudentInternshipEnglish
NewWorking StudentInternshipEnglish
InternshipEnglish & German
InternshipGerman
InternshipEnglish & German
Working StudentEnglish & German
Working StudentEnglish & German
NewWorking StudentEnglish & German