Unsupervised Learning Internship in Autonomous Driving
vor 3 Wochen
Location: Hildesheim, Germany
Employment Type: Full-time
Company Overview:
Robert Bosch GmbH is at the forefront of innovation, developing high-quality technologies and services that enhance everyday life. We are committed to fostering a collaborative environment where our associates can thrive, share ideas, and grow together.
This internship focuses on advancing map generation techniques for autonomous driving by transitioning from traditional supervised learning to un/self-supervised approaches. A key aspect of this role involves leveraging Large Vision-Language Models (VLMs) to tackle this challenge effectively.
Key Responsibilities:- Develop auxiliary tasks aimed at self-supervision.
- Integrate and assess the performance of Foundation Models.
- 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, particularly PyTorch; a solid grasp of deep learning concepts; proficient in Python programming.
- Personal Attributes: Open-minded, innovative, communicative, independent, and inquisitive.
- Language Proficiency: Fluent in English.
Duration: 6 months
This internship requires enrollment at a university. Please submit your CV, academic transcripts, enrollment certificate, examination regulations, and if applicable, a valid work and residence permit.
We value diversity and inclusion, and we encourage applications from all individuals, regardless of gender, age, disability, religion, ethnic background, or sexual identity.
For further inquiries regarding this position, please contact:
Christian Löwens (Functional Department)
Thorben Funke (Functional Department)
#LI-DNI
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