PhD Candidate: Towards Zero Maintenance Software | PhD Thesis: Towards Zero Maintenance Software
Siemens AG
Job Summary
This PhD opportunity focuses on pioneering the future of industrial software by developing autonomous, self-repairing systems. The successful candidate will create a conceptual framework for autonomous software re-engineering, design and implement prototype mechanisms for self-recreating software, and continuously learn from operational events to enhance autonomous adaptation. A key aspect of the role involves integrating advanced AI techniques, such as generative models and reinforcement learning, to support autonomous decision-making. This position is ideal for an ambitious researcher eager to publish findings in scientific journals and present at international conferences, significantly contributing to the field of autonomous systems in software engineering while drastically reducing human maintenance efforts in industrial software.
Required Skills
Education
Master's degree or equivalent in Computer Science, Software Engineering, Artificial Intelligence, or a closely related field
Experience
- Research experience in developing autonomous software re-engineering frameworks
- Experience in designing and implementing prototype mechanisms for self-recreating software
- Professional experience in integrating advanced AI techniques for autonomous decision-making
Languages
Additional
- Not specified
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