PhD Candidate: Self-Evolution for Autonomous Industrial Software | PhD Thesis: Self-Evolution for Autonomous Industrial Software

Job Summary

Embark on a groundbreaking PhD journey in Erlangen or Garching, focusing on developing self-evolving systems for autonomous industrial software. This role involves deeply understanding current autonomous industrial software, designing and implementing novel self-evolving architectures with adaptation, healing, and optimization mechanisms, and utilizing advanced AI/ML paradigms like Reinforcement Learning and Federated Learning. You'll also develop metrics to evaluate system performance and engage in extensive Python programming, exploring technologies like Retrieval Augmented Generation with Large Language Models to enhance software autonomy and reliability. This is an exciting opportunity for a highly motivated individual to contribute to cutting-edge research in dynamic industrial environments, supported by experienced experts and access to the latest technologies.