Unsupervised Learning Internship for Autonomous Driving Mapping
vor 3 Wochen
Location: Hildesheim, Germany
Employment Type: Full-time
Company Overview:
Robert Bosch GmbH is at the forefront of innovation, dedicated to creating high-quality technologies and services that enhance lives and inspire passion. We are committed to fostering a collaborative environment where our associates thrive, enjoy their work, and motivate one another.
This internship focuses on advancing map generation techniques for autonomous driving by transitioning from traditional supervised methods to innovative un/self-supervised approaches. A key aspect of this role involves exploring the integration of Large Vision-Language Models (VLMs) to address this challenge effectively.
Key Responsibilities:- Develop auxiliary tasks aimed at self-supervision during the internship.
- Integrate and assess the performance of Foundation Models within the mapping context.
- Education: Currently pursuing studies in Computer Science, Data Science, Applied Mathematics, or a related field.
- Experience and Skills: Familiarity with data processing and deep learning frameworks such as PyTorch; a solid grasp of deep learning principles; proficient in Python programming.
- Personal Attributes: Open-minded, innovative, communicative, independent, and curious.
- 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 transcripts, enrollment verification, examination regulations, and if applicable, a valid work and residence permit.
At Robert Bosch GmbH, we value diversity and inclusion as integral components of our corporate culture. We welcome applications from all individuals, regardless of gender, age, disability, religion, ethnic background, or sexual orientation.
For further inquiries regarding this position, please refer to the appropriate contacts within the Functional Department.
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