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Thesis data evaluation and optimization for ai-based automated driving

Grundhof
Bosch
Inserat online seit: 5 September
Beschreibung

Thesis Data Evaluation and Optimization for AI-Based Automated Driving Robert-Bosch-Campus 1, 71272 Renningen, Germany Full-time Robert Bosch GmbH Company Description At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference. The legal entity is looking forward to your application! Job Description In your thesis you will investigate specifications for scene complexity. You will also evaluate datasets based on these specifications. Furthermore, you will Investigate measures to improve model training. Qualifications Education: Studies in the field of Mathematics, Informatics or comparable Experience and Knowledge : in programming languages, such as Python; in Machine Learning (ML) and ML-Framework (ideally Pytorch) and statistics Personality and Working Practice: you have an independent way of working Languages: very good English or German Additional Information Start: according to prior agreement Duration: 6 months Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit. You are almost finished with your Bachelor's degree and would like to gain some practical experience before embarking on your next academic adventure with a Master's degree? Then you fit in perfectly well with our PreMaster Programm! Take a look at our vacancies here. Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity. Need further information about the job? Steffen Wäldele (Functional Department) 49 711 811 10001 LI-DNI

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