Working student (mfd) Generative AI-supported Testing Methods for Automated Driving Development

Complexity and scale of automotive systems are increasing particularly in the area of automated driving and advanced driving assistance systems. The increased complexity of such safety-critical systems demands for advanced testing and verification methods to ensure safety under an abundance of operating conditions and traffic scenarios that may be encountered.

Recently generative AI has shown promising results for content generation such as for text (ChatGPT) image (stable diffusion) or video generation (OpenAI SORA). In our R&D work we would like to explore the possibilities of using generative AI to create critical traffic scenarios learned from traffic data.

We are seeking for a talented and driven Working Student / Master thesis student (m/f/d) to join the Systems Engineering R&D team and support the development of testing methods by using recent results from generative AI for scenario and traffic video your role you gain hands-on experience on the training and validation of generative AI models and contribute to our R&D testing platform for automated driving. The work is part of the public funded project .

Responsibilities:

• Adaptation of a diffusion model for traffic scenario/video generation
• Develop criticality metrics for traffic scenarios
• Develop optimization-based techniques to guide the generation towards critical scenarios
• Integration of the methods into our existing testing workflow
• Evaluate the testing campaign to extract critical test case

Qualifications :

• Pursuing a degree in Computer Science Electrical Engineering or a related field.
• Strong programming skills in Python.
• Familiarity with machine learning training frameworks (e.g. pytorch) is a big plus.
• Familiarity with optimization / dynamical systems / control engineering is a plus.
• Fluent level of English or German is required.
• Team player with intercultural competencies as well as independent working style with good self-organization capabilities.

Additional Information :

• The project will first run for 6 months with the possibility of extension.
• Employee-Benefits: Urban Sports Club etc.
• Attractive working environment: Modern offices own canteen free parking spaces
• International company: Career opportunities in a global environment
• Open company culture: Diverse multicultural team
• Events: Regular company & team events

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No

Employment Type :

Intern

Key Skills
Anti Money Laundering,Access Control System,Catering,Assessment,Communication
Experience: years
Vacancy: 1