PhD Thesis: Self-Evolution for Autonomous Industrial Software

Aufgaben:

At the outset of your PhD journey, you immerse yourself in the current landscape of autonomous industrial software systems, analyzing their complexities and quality requirements Building on this foundation, you design and implement an innovative self-evolving architecture for industrial software, equipping it with mechanisms for adaptation, self-healing, and optimization during real-world operation Throughout your research, you combine rigorous theoretical investigation with hands-on experimentation, leveraging advanced AI and ML paradigms such as Reinforcement Learning, Federated Learning, and Large Language Models to refine adaptation policies and distributed self-awareness To evaluate and advance your concepts, you develop suitable metrics and quality parameters, and you continuously improve your implementations using Python and leading AI/ML frameworks

Qualifikation:

Education : You are currently successfully pursuing a degree in Computer Science, Software Engineering, Artificial Intelligence, or a closely related field and are motivated to start a PhD Experience and Skills : Strong foundation in machine learning, autonomous software systems, and software engineering principles Proficiency in Python and experience with AI/ML frameworks such as TensorFlow or PyTorch Excellent analytical, problem-solving, and critical thinking skills Ways of Working : You are highly motivated, possess strong written and verbal communication skills, and are capable of conducting independent research as well as collaborating in a team Languages : You are fluent in English

Über Uns:

At Siemens, we believe that feeling valued and included is the foundation for doing great work. That's why we aim to create an inclusive workplace where everyone feels a sense of belonging, and where individual perspectives and experiences are celebrated. Our commitment to fairness and respect extends to every applicant. The world never stands still. And new challenges arise every day. With a passion for questioning things, for supplying ideas, and intelligently driving things forward we are helping society move towards a smarter tomorrow. Be it with technologies that reduce carbon emissions in cities or hyperintelligent robots. This is how we are able, to tackle the most important projects and push them forward together. Help us shape the future.