Internship in SelfSupervised Learning for Mapping in Autonomous Driving

Location

Hildesheim | Germany

Job description

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.
TheRobert Bosch GmbH is looking forward to your application!

Job Description

• During your internship, you will be involved in autonomous driving mapping. Our aim is to transition from a supervised to an unsupervised setting, assessing new performance. We plan to test our hypothesis on various data and algorithms.
• You will find open datasets and prepare them for our machine learning pipeline.
• Finally, you will be responsible for the modification and evaluation of existing deep learning algorithms.

Qualifications

• Education: studies in the field of Computer Science, Data Science, Applied Mathematics or comparable
• Experience and Knowledge: in Python and in Deep Learning frameworks such as PyTorch or Tensorflow, strong understanding of deep learning principles and experience with data processing
• 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 (Business Department)
+49 5121 497176
Thorben Funke (Business Department)
+49 5121 495120

#LI-DNI

Summary

• Type: Full-time
• Function: Research

Job tags

Salary