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Internship or master thesis position researching and developing intelligent algorithms in the field of generative AI for autonomous driving, focusing on perception and scene understanding problems in automated driving and investigating difficult and adverse driving scenarios.
Job Responsibility:
Development and implementation of concepts to systematically generate traffic scenarios with anomalies or adverse conditions
Research and analysis of current literature on the generation of anomalous data
Practical investigations of data-driven deep learning methods for scenario generation for a selected use case
Evaluation of the quality of the generated data according to self-developed or predefined criteria
Documentation and presentation of the results
Requirements:
Master's student in Computer Science, Robotics, Data Science, Mathematics, Physics, Engineering Sciences or a related qualification
Very good to good academic achievements
Strong analytical and conceptual skills, familiarity with scientific methods
Ability to work independently and in multidisciplinary teams, highly motivated
Good knowledge of an object-oriented programming language, preferably Python, and of deep learning methods
Fluent in English (at least language level B2)
Nice to have:
Experience with deep learning libraries like PyTorch
Practical experience in the area of driver's assistance systems or automated driving
What we offer:
30 vacation days + 24.12. and 31.12. off
35-hour week
Company pension
Flexible working hours
Mobile working
Training and consulting offers
Special conditions for the purchase and leasing of vehicles
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