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PhD Thesis: Autonomous Architecture Evolution for Industrial Software

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PhD Thesis: Autonomous Architecture Evolution for Industrial Software

Siemens

PhD Thesis: Autonomous Architecture Evolution for Industrial Software

1 day ago

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Important information


Contract type:

Part time

Location:

85748 Garching, Germany

Work mode:

Hybrid

Published on:

22 October 2026

What they need


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!

What we offer you

  • Attractive remuneration package
  • 30 leave days and a variety of flexible working models that allow time off for yourself and your family
  • Share matching programs to become a shareholder of Siemens AG
  • Continuous Learning: Benefit from specialized training and daily challenges to keep your expert knowledge up-to-date
  • Innovative Environment: Be part of a team that values innovation and continuous improvement

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'll make an impact by

  • You conduct research on autonomous architecture evolution for industrial software, focusing on reliable adaptation during continuous operation
  • Building on this, you design and implement architecture evolution loops based on the MAPE-K framework, integrating monitoring, analysis, planning, and execution phases to address real-time and safety requirements
  • Subsequently, you evaluate and enhance modularization, observability, and runtime mechanisms to enable zero-downtime upgrades and seamless integration of new components
  • Throughout your work, you collaborate closely with academic and industrial partners to validate your concepts in practical environments and refine your approaches based on real-world feedback

This is how you'll win us over

  • Education: You have already completed or you are currently successfully pursuing a Master's degree in computer science, software engineering, or a related technical field and are interested in pursuing a PhD thesis
  • Experience and Skills:
    • You have a solid understanding of software architecture and modularization principles
    • You are familiar with real-time systems and performance modeling in industrial environments
    • You possess knowledge of self-adaptive systems or autonomous software evolution concepts
  • Ways of Working: You demonstrate analytical thinking, initiative, and a structured approach to research
  • Languages: You have very good English skills

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.

About Us

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.

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.

#sagphd

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