Development and application of AI methods for the automation of technical and data-driven systems.
Focus on the integration and scaling of AI systems in industrial applications and their deployment in data-driven research environments.

• Generative AI and Large Language Models (LLMs)
• Multimodal AI systems (text, image, video, and sensor data)
• Computer Vision (classical methods and neural networks)
• MLOps and deployment of AI systems
• Performance analysis and optimization of core algorithms
• Edge AI and efficient inference on embedded systems

By appointment

• AI-driven transformation processes in innovation ecosystems (KI-InnoX)
• ​Development of application-oriented AI prototypes​
• ​Technology transfer between academia and industry​
  
• ​Advancement of scalable technology platforms​
• ​Automated document processing using LLMs​
• ​Computer vision systems for quality control​

• Fachbereich 2: Ingenieurwissenschaften - Technik und Leben
  Wissenschaftliche*r Mitarbeiter*in
• Fachbereich 3: Wirtschafts- und Rechtswissenschaften
  Wissenschaftliche*r Mitarbeiter*in
• Ingenieurinformatik (B)
  Wissenschaftliche*r Mitarbeiter*in