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Siemens AG in Germany seeks a PhD candidate to explore autonomous evolution of industrial software architectures. The role focuses on reliable adaptation during continuous operation, applying MAPE-K loops to address real-time and safety concerns.
You’ll collaborate with academia and industry partners to validate concepts in practical settings. The program offers an attractive remuneration package, generous leave, share matching, and ongoing learning opportunities in a collaborative, innovative
526128
22-Oct-2026
Foundational Technologies
Internal Services
Profesional Junior
Temporal
Mode of Employment:Fixed Term / Part-Time; (20 hours / week)
Ready to shape the future of industrial software? Join us in Garching as a PhD candidate (f/m/d) and pioneer autonomous architecture evolution—turn your innovative ideas into real‑world impact together with leading experts from academia and industry!
Since each of over 300,000 employees feels that other benefits are particularly important, and we cannot list our entire benefit portfolio here, you can find more information here .
The individual benefits are subject to regulatory, contractual, or corporate conditions.
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!
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.
As an equal opportunity employer , we welcome applications from individuals of all backgrounds and particularly encourage applications from persons with disabilities.
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.
if you need further information on the application process.