Data Scientist Internship in Unsupervised Learning and Foundation Models for Mapping in Autonomous Driving
vor 1 Monat
In the context of map generation for autonomous driving, we aim to transition from a supervised setting to an unsupervised/self-supervised setting. One idea is to integrate Large Vision-Language Models (VLMs) to solve this problem. This requires development and evaluation.
- 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
- Language: fluent in English
Additional Information
Duration: 6 months
Enrollment at a university is a requirement for this internship. 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)
Thorben Funke (Functional Department)
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