Internship / Thesis - Scenario Generation for Autonomous Driving with Deep Generative Models - Berlin

YOUR TEAM

We are a team of ambitious and highly motivated experts in the field of ADAS/AD innovation, searching for new solutions to cope with the current challenges in autonomous driving. Aiming at developing future assisted and automated driving, a key challenge to enable self-driving vehicles are artificial algorithms and the related handling (gathering, storing, processing) of vehicle mass data for various situations and use-cases.

• Support one of our PhD students in the field of Generative AI for generating challenging scenarios for Autonomous driving.
• Conduct research with SOTA methods on Scenario Generation leveraging Generative AI
• Implement promising approaches within our software environment.
• Develop algorithmic ideas addressing open research challenges related to your topic
• Conduct comprehensive experiments on internal as well as public datasets.

• Enrolled as a master's student in computer science, data science, robotics, electrical engineering or similar field.
• Theoretical and practical experience in advanced machine learning and Generative AI - Diffusion models, transformers etc. is highly expected. Experience in the field of Graph Neural Networks is a nice to have.
• Proficiency in Python and deep learning frameworks (PyTorch, Tensorflow, scikit-learn, Pytorch-Geometric) is required.
• Analytical understanding of complex systems and problem solving skills.
• Structured and independent work, above-average commitment and flexibility is expected.
• Fluency in written and spoken English.

• Remote work options
• 35h/week. Duration: approx. 6 months
• Temporary work from abroad in selected countries
• Flextime / optional working hours
• Annual professional development
• 30 days paid + 10 days unpaid leave
• Possibility for VW Group car leasing
• If you have further questions about the candidate journey at CARIAD, please contact us: careers@cariad.technology