Unsupervised Learning Internship in Autonomous Vehicle Mapping
vor 3 Wochen
Location: Hildesheim, Germany
Employment Type: Full-time
Company OverviewAt Robert Bosch GmbH, we are committed to pioneering innovative technologies and services that enhance lives and inspire passion. Our dedication to our employees is unwavering: we grow together, enjoy our work, and motivate one another. Experience the difference with us.
Role OverviewIn the realm of map creation for autonomous vehicles, we aim to transition from a supervised framework to an un/self-supervised approach. A potential direction involves the incorporation of Large Vision-Language Models (VLMs) to address this challenge. This initiative requires development and assessment.
- Throughout your internship, you will create the auxiliary task necessary for self-supervision.
- You will integrate and assess the Foundation Models.
- Education: Currently pursuing studies in Computer Science, Data Science, Applied Mathematics, or a related field.
- Skills and Knowledge: Proficient in data processing and familiar with deep learning frameworks such as PyTorch; solid understanding of deep learning concepts; skilled in Python programming.
- Personal Attributes: Open-minded, innovative, communicative, independent, and inquisitive.
- Language Proficiency: Fluent in English.
Duration: 6 months
To qualify for this internship, candidates must be enrolled at a university. Please include your CV, academic transcript, enrollment verification, examination regulations, and if applicable, a valid work and residence permit.
We embrace diversity and inclusion as fundamental values in our corporate culture. We welcome applications from all individuals, regardless of gender, age, disability, religion, ethnic background, or sexual orientation.
For further inquiries regarding the position, please reach out to the relevant contacts in the Functional Department.
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