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Internship in Unsupervised Learning and Foundation Models for Mapping in Autonomous Driving
Hildesheim
Aktualität: 22.08.2024

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22.08.2024, Bosch-Gruppe
Hildesheim
Internship in Unsupervised Learning and Foundation Models for Mapping in Autonomous Driving
Aufgaben:
In the context of map generation for autonomous driving, we want to move from a supervised setting to an un/self-supervised setting. One idea could be the integration of Large Vision-Language Models (VLMs) for solving this problem. This needs to be developed and evaluated. During your internship, you will develop the auxiliary task for self-supervision. You will integrate and evaluate the Foundation Models.
Qualifikationen:
Education: studies in the field of Computer Science, Data Science, Applied Mathematics or comparable Experience and Knowledge: with data processing, with deep learning frameworks such as PyTorch; strong understanding of deep learning principles; proficiency in Python Personality and Working Practice: open-minded, innovative, communicative, independent and curious Languages: fluent in English

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Internship in Unsupervised Learning and Foundation Models for Mapping in Autonomous Driving

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Hildesheim