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 Master thesis you will understand the functionality and characteristics of diffusion models such as stable diffusion in the context of creating photorealistic images from text prompts.Get familiar with and learn the operational aspects of models such as ControlNet that manipulate image layouts in stable diffusion.Furthermore, you will quantitatively assess the spatial alignment fidelity of these different methods that use layout conditions for the diffusion image generation process.You will conduct experimental studies to examine how generative data augmentation can enhance computer vision tasks, particularly semantic segmentation.Last but not least, you will document the findings of the research study and form a well-structured, coherent Master thesis.
Qualifications
Education: Master studies in the field of Computer Science or comparableExperience and Knowledge: strong foundation in Machine Learning and Deep Learning, particularly in the domain of Computer Vision, proficiency in programming languages like Python with familiarity in libraries/frameworks such as PyTorch, knowledge in working with Diffusion Models and Generative Data Augmentation techniques, experience in conducting research studies, including designing and executing experiments, and statistical data analysisPersonality and Working Practice: critical thinking, problem-solving, and independent learning team playerEnthusiasm: willingness to learn about models like Stable Diffusion and ControlNetLanguages: very good English skills
Additional Information
Start: according to prior agreement
Duration: 6 months
Requirement for this thesis is the enrollment at university. Please attach a motivation letter, your CV, transcript of records, 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?
Julio Borges (Business Department)
+49 174 2484935
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