Internship / Thesis – Scenario Generation for Autonomous Driving with Deep Generative Models
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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.
WHAT YOU WILL DO
- 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.
WHO YOU ARE
- 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.
NICE TO KNOW
- 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:
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