Internship 3D Scene Editing and Generationat Bosch

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.
The Robert Bosch GmbH is looking forward to your application!

Job Description

• During your internship, you will work on a 3D scene editing pipeline using 3D Gaussian Splatting, Video Diffusion Models and semantic embeddings (CLIP/DINO).
• These are targeted at robotics and autonomous driving applications and have been developed using PyTorch. The goal is to continue work on these tasks after your internship in the form of a thesis.

Qualifications

• Education: Bachelor studies in the field of Informatics, Electrical Engineering, Mechatronics or comparable
• Experience and Knowledge: in programming with Python, deep learning frameworks (PyTorch, TensorFlow), diffusion and 3D Gaussian Splatting
• Personality and Working Practice: you are able to work in a structured and independent manner
• Work Routine: partially mobile working possible, expected to be in the office once a week
• Languages: very good in English

Additional Information

Start: according to prior agreement
Duration: 6 months

If the internship is successful, it should be followed by an academic thesis (Master thesis).

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?
Tim-Felix Faasch (Functional Department)
+49 177 666 8718

Work #LikeABosch starts here: Apply now!

#LI-DNI

Videos To Watch

During your internship, you will work on a 3D scene editing pipeline using 3D Gaussian Splatting, Video Diffusion Models and semantic embeddings (CLIP/DINO).

These are targeted at robotics and autonomous driving applications and have been developed using PyTorch. The goal is to continue work on these tasks after your internship in the form of a thesis.

Qualifications Education: Bachelor studies in the field of Informatics, Electrical Engineering, Mechatronics or comparable

Experience and Knowledge: in programming with Python, deep learning frameworks (PyTorch, TensorFlow), diffusion and 3D Gaussian Splatting

Personality and Working Practice: you are able to work in a structured and independent manner

Work Routine: partially mobile working possible, expected to be in the office once a week

Languages: very good in English

Additional Information Start:  according to prior agreement

Duration:  6 months

If the internship is successful, it should be followed by an academic thesis (Master thesis).

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?

Tim-Felix Faasch (Functional Department)

+49 177 666 8718

Work #LikeABosch starts here: Apply now!

#LI-DNI

Videos To Watch

• Education: Bachelor studies in the field of Informatics, Electrical Engineering, Mechatronics or comparable
• Experience and Knowledge: in programming with Python, deep learning frameworks (PyTorch, TensorFlow), diffusion and 3D Gaussian Splatting
• Personality and Working Practice: you are able to work in a structured and independent manner
• Work Routine: partially mobile working possible, expected to be in the office once a week
• Languages: very good in English

Start: according to prior agreement
Duration: 6 months

If the internship is successful, it should be followed by an academic thesis (Master thesis).

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?
Tim-Felix Faasch (Functional Department)
+49 177 666 8718

Work #LikeABosch starts here: Apply now!

#LI-DNI

Videos To Watch