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DENSO • Eching, Bavaria, Germany
Role & seniority: Working Student / Master thesis student (m/f/d) in Systems Engineering R&D
Stack/tools: Python; experience with ML training frameworks (e.g., PyTorch) is a plus; familiarity with optimization/dynamical systems/control engineering is a plus
Adapt diffusion models for traffic scenario/video generation
Develop criticality metrics and optimization-based methods to guide generation toward critical scenarios
Integrate methods into the existing testing workflow and evaluate the testing campaign to extract critical test cases
Pursuing a B.Sc or M.Sc in Computer Science, Electrical Engineering, or related field
Strong Python programming skills
Fluent in English or German
Team player with good self-organization and intercultural competencies
Familiarity with ML training frameworks (e.g., PyTorch)
Knowledge of optimization, dynamical systems, or control engineering
Location & work type: DENSO Automotive Deutschland GmbH, Germany; 6-month project with potential extension; open, international company environment; student role with potential continuation in a funded R&D effort
Company Description As an automotive supplier, DENSO is leading in developing and providing components and systems for heating, air conditioning, motor cooling, exhaust gas aftertreatment, automotive electrics and electronics and instrumentation. Job Description 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 generation. In 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 nxtaim.de.
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 It has come to our attention that various individuals have contacted people offering false employment opportunities with DENSO. Such scams are fraudulent and intended to steal from the victims. By making you aware of this, we hope to avoid and ultimately stop victims from falling for this scam. Please do not provide any personal or financial information and do not send any money to anyone you suspect of recruitment fraud. If you are contacted by someone whom you suspect may not be appropriately representing DENSO, please email: [email protected]. Please forward the original email that you received that includes the original subject line and complete header information. Do not send CVs or vacancy applications to that email address as it will not be reviewed or considered. If you wish to apply for a job, please submit your application for an open position to https://careers.smartrecruiters.com/DENSOINTERNATIONALEUROPE
Company: DENSO AUTOMOTIVE Deutschland GmbH