Student Assistant
vor 6 Monaten
**Specialization**: Computer science, cybernetics, mathematics, technical computer science or comparable.
**What you will do**
The goal of the proposed work is to contribute to our GenAI projects, including the following tasks:
- Research and development of (multimodal) generative AI approaches
- Implementing and studying generative AI for industrial use cases with industry-specific problems
- Research into methods in the areas of privacy-preserving machine learning and membership inference attacks
- Development of innovative solutions using modern methods of machine learning and statistics
- Practical implementation and testing of generative AI in cooperation with industrial partners
**What you bring to the table**
- Experience in statistics and machine learning, especially with generative models such as GAN, VAE, and diffusion, as well as transformers
- Ideally experience in task-specific fine-tuning of pre-trained ML (foundation) models
- Good programming knowledge in relevant programming languages, such as Python and Jupyter Notebooks
- Practical experience in toolkits such as scikit-learn, TensorFlow, PyTorch, LangChain or similar
- Very good knowledge of German and/or very good English
- Creativity, enthusiasm, autonomy are important qualities for this position
**What you can expect**
- Interesting tasks in applied research and development in close contact with industry
- First-class equipped test fields and a unique research infrastructure
- Modernly equipped workplaces and flexible working hours
With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.
Lisa Bauer
Recruiting
Tel. +49 711 970-3681
Fraunhofer Institute for Manufacturing Engineering and Automation IPA
Requisition Number: 72556 Application Deadline:
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