Abschlussarbeiten im Themenfeld: Effiziente, adaptive und dezentrale KI

The Fraunhofer-Gesellschaft in Duisburg is seeking a Dissertationsfeld AI research assistant to work on efficient, adaptive, and decentralized AI solutions for resource-constrained systems. The role involves optimizing machine learning frameworks, optimizing edge AI in IoT networks, and developing anomaly detection mechanisms. The position offers a central location near the University and a focus on diversity and inclusion.

Requirements

• Education in computer science, electrical engineering, or a comparable field with very good grades
• Basic knowledge in machine learning and neural networks
• Good programming skills in C and/or C++
• Experience with embedded systems and microcontrollers and knowledge in Python
• Experience with machine learning frameworks (e.g., Keras or PyTorch) and managing unix-based operating systems
• Independent and structured working style as well as teamwork skills
• Experience with adaptation of AI models in changing environmental conditions

Benefits

• Diverse insights into the work of scientific employees
• Opportunity to apply knowledge from studies directly
• Graduation payment
• Flexible working hours
• Fixed vacation allowance
• Opportunity to practice SAP
• Central location
• Diversity of competencies valued and welcome
• Adaptability and inclusion