Internship in Diffusion-Based Sensor Data Editing
Internship in Diffusion-Based Sensor Data Editing
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Job Description
The research team at the Bosch Center for Artificial Intelligence (BCAI) is providing an internship opportunity for Master students in machine learning computer vision or a related field.
- During your internship you will get the chance to develop and implement novel algorithms and evaluate them on Bosch datasets.
- Together with BCAI researchers you will perform original research and theoretical investigations in cutting-edge AI field in Generative AI (e.g. video diffusion world models).
- Furthermore you will work with the latest diffusion models and extend them with the ability to controllably generate sensor data corresponding to 3D consistent environments. This project will focus on text-based editing and insertion of objects in driving scenes.
Qualifications :
- Education: Master studies in the field of Computer Science Mathematics Physics or comparable with very good grades
- Experience and Knowledge: in machine learning deep learning foundation models diffusion models or computer vision from previous internships work personal projects and/or lab work; excellent and proven programming skills particularly in Python and PyTorch/TensorFlow; familiarity with HuggingFace libraries specifically diffusers and FM like SAM2 is a plus
- Personality and Working Practice: you excel at collaborating with others analyzing data effectively organizing tasks systematically and maintaining a clear overview of ongoing projects
- 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
Jiayi Wang (Functional Department)
49 9
#LI-DNI
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
