PhD Thesis: Self-Evolution for Autonomous Industrial Software
PhD Thesis: Self-Evolution for Autonomous Industrial Software
PhD Thesis: Self-Evolution for Autonomous Industrial Software
PhD Thesis: Self-Evolution for Autonomous Industrial Software
Siemens AG
Industrie und Maschinenbau
Erlangen
- Art der Anstellung: Vollzeit
- Vor Ort
- Zu den Ersten gehören
PhD Thesis: Self-Evolution for Autonomous Industrial Software
Über diesen Job
Mode of Employment: Limited, 20 hours/week
Are you ready to redefine the future of autonomous industrial software? Join us as a PhD candidate in Erlangen or Garching, and embark on a groundbreaking journey to develop self-evolving systems that revolutionize how software operates and evolves in dynamic industrial environments.
What you'll love about us
- Exciting research and development projects that put your theoretical knowledge into practice
- Individual supervision and support from experienced experts in your field
- Access to the latest technologies, laboratories, and resources
- Diverse opportunities to contribute your ideas and actively shape the projects
- Excellent career opportunities through contact with potential employers
You’ll make a difference by
- You will initiate your PhD journey by developing a deep understanding of the current landscape of autonomous industrial software systems, focusing on their complexities and quality requirements
- Building upon this foundation, you will design and implement a novel self-evolving architecture for industrial software that includes mechanisms for adaptation, healing, and optimization during operational phases
- Throughout your research, you will engage in rigorous theoretical investigation and practical application, utilizing advanced AI/ML paradigms such as Reinforcement Learning and Federated Learning to refine adaptation policies and distributed self-awareness
- Additionally, you will develop metrics and quality parameters to evaluate the performance and limitations of self-evolving capabilities within industrial software systems
- Lastly, your work will involve extensive programming in Python and exploring the integration of advanced technologies like Retrieval Augmented Generation with Large Language Models to enhance the autonomy and reliability of software evolution
Your defining qualities
- Education: Master's degree (or equivalent) in Computer Science, Software Engineering, Artificial Intelligence, or a closely related field
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Experience & Skills:
- Strong foundation in machine learning, autonomous software systems, and software engineering principles
- Proficiency in Python and experience with relevant AI/ML frameworks such as TensorFlow or PyTorch
- Excellent analytical, problem-solving, and critical thinking skills
- Ways of working: Highly motivated with strong written and verbal communication skills, capable of conducting independent research and collaborative teamwork
- Languages: Fluent in English
You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!
Your individual personality and perspective are important to us. We create a working environment that reflects the diversity of the society and support you in your personal and professional development. Let’s get to know your authentic personality and create a better future together with us. As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.
About us
Are you excited about finding the smartest solutions alongside professionals and experts? If so, consider completing your PhD thesis with us. We can help you combine knowledge, discover connections, and formulate innovative ideas. By joining our team, you'll gain insights into various departments and processes. This is a unique opportunity to break new ground as we advance into the future of electrification, automation, and digitalization.
Seize this chance today!
www.siemens.de/careers – if you would like to find out more about jobs & careers at Siemens.
FAQ – if you need further information on the application process.
If you have more questions please contact: www.siemens.de/fragenzurbewerbung
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