**Mode of Employment:** Fixed Term; 20 hours / week


Ready to shape the future of manufacturing with your research? Join us in Munich as a PhD student (f/m/d) and push the boundaries of agentic AI and digitalization, turning groundbreaking ideas into real-world industrial solutions.

**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](https://www.siemens.com/de/de/unternehmen/jobs/benefits-was-wir-bieten.html).

The individual benefits are subject to regulatory, contractual, or corporate conditions.


**You'll make an impact by**
- Driving the digitalization of manufacturing processes such as welding, milling, coating or (dis)assembling, enhancing efficiency, quality, and adaptability.- Development and implementation of orchestrated agentic AI setups to enable intelligent, self-optimizing manufacturing systems.- Enabling a seamless Digital Toolchain for advanced manufacturing based on agentic AI and the Siemens software and hardware portfolio, which involves:
- Innovating in CAM automation and path planning for optimized manufacturing trajectories.

- Pioneering
Software-Defined Automation to create adaptable manufacturing systems.

- Advancing
World Perception, Data Analytics, and AI for both edge and cloud solutions, transforming raw data into actionable insights.

- Verifying
your innovative solutions through physical simulations using industry-leading software like Simcenter, Process Simulate, and Siemens NX, ensuring real-world applicability.


- You'll also gain hands-on experience with real-world manufacturing systems in our labs, Siemens' Industrial Edge devices and cloud platforms, integrating your research into real-world industrial environments.


**This is how you'll win us over**
- **Education**: You are currently enrolled in or have recently completed a Master's degree in Mechanical Engineering, Computational Engineering, Mechatronics, Computer Science, or a closely related discipline. Prior research experience in a relevant field is desirable.- **Experience and Skills**:- A strong passion for and foundational understanding of both manufacturing processes like welding or milling (ideally combined with practical experiences) as well as of Physical & Agentic AI- Solid programming skills, particularly in Python, ideally applied to data analytics, machine learning, or automation tasks. Experience with version control systems (e.g., Git) is expected, as we highly value clean coding practices.- Basic experience with CAD/CAM software, with a strong preference for Siemens NX.- Hands-on experience with Internet of Things (IoT) and manufacturing technologies- Familiarity with Linux environments, experience with cloud solutions and container technologies such as Docker and proficiency in data handling is a big plus.- Understanding of software defined automation principles and experience with Siemens Industrial Edge devices.

- **Ways of Working**: A practical, goal-oriented, and structured approach to your work, coupled with the ability to conduct independent scientific research. Eagerness to collaborate effectively within cross-functional and international teams. A proactive mindset, intellectual curiosity, and a strong desire for continuous learning and skill development.- **Languages**: Excellent written and oral English communication skills are essential; German language skills would be a valuable asset.


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](https://www.siemens.com/de/de/unternehmen/jobs/arbeiten-bei-siemens/inklusion.html), we welcome applications from individuals of all backgrounds and particularly encourage applications from persons with disabilities.


**About Us**
Are you passionate about shaping the future of industrial production with cutting-edge AI and digital technologies? Our R&D department at Siemens is at the forefront of developing groundbreaking solutions for advanced manufacturing and circularity on an industrial scale. We're dedicated to creating innovative solutions for our Siemens Business Units, with a strong emphasis on digitalization and pioneering manufacturing processes for Siemens production worldwide. Modern manufacturing environments generate vast amounts of data. This data holds the key to optimizing processes, predicting outcomes, and enabling truly autonomous systems. We believe that by leveraging advanced Physical & Agentic AI principles, we can move beyond traditional data analytics to achieve closed-loop manufacturing control and planning, creating intelligent, self-optimizing production systems through a seamless digital toolchain.


[www.siemens.de/careers](http://www.siemens.com/de/en/company/jobs.html) – if you would like to find out more about jobs & careers at Siemens.

[FAQ](https://www.siemens.com/global/en/company/jobs/faq.html) – if you need further information on the application process.