About this role
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. Education: Master studies in the field of Informatics, Electrical Engineering, Mechatronics or comparableExperience and Knowledge: in programming with Python, deep learning frameworks (PyTorch, TensorFlow), diffusion and 3D Gaussian SplattingPersonality and Working Practice: you are able to work in a structured and independent mannerWork Routine: partially mobile working possible, expected to be in the office once a weekLanguages: 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