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

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 Robert Bosch GmbH is looking forward to your application!

Job Description

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.

Qualifications

• 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

Additional Information

Start: according to prior agreement
Duration: 6 months

Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.

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?
Christian Löwens (Functional Department)
+49 5121 497176
Thorben Funke (Functional Department)
+49 5121 495120

#LI-DNI

Summary

• Type: Full-time
• Function: Research