This is an unique opportunity for you to complete your education with a PhD between the industrial powerhouse Siemens, and the leading research institute Inria. As a Siemens employee, you will be primarily based in Erlangen, Germany, which frequent visits to Inria in Paris, France. You will be co-supervised by Siemens and Inria, benefiting from the best of both world, and resulting in a highly sought after combination of stellar engineering and scientific excellence.

Apply to this position by applying to https://jobs.siemens.com/jobs/307464?lang=en-us. What follows in this job description is taken from that job posting.

Do you like the sound of finding the smartest solution side by side with professionals and experts? If so, complete your education with a PhD position with us. We can help you to combine knowledge, discover connections, and formulate ideas. When you join our team, you will gain an insight into a range of departments and processes. It is a chance like no other to break new ground as we head into the future of electrification, automation, and digitalization. Seize this opportunity today!

What part will you play?

In industrial sensor networks, it is not possible to make predictions about topology, traffic, and interactions due to changing participants, tasks, and network relationships. By tracing, logging, and measuring the behavior of IoT devices and their interactions, one can identify problems and unbalanced utilization and respond accordingly. In this thesis, you will explore and investigate methods, technologies and tools for monitoring and controlling smart sensor systems and sensor networks with regard to their behavior and performance:

• You determine the state of the art in the field of application performance monitoring and management
• You will examine methods and tools available on the market for their applicability in sensor systems and sensor networks
• You develop novel software components for sensor nodes
• You will develop procedures and methods for monitoring and controlling sensor systems and networks. Among other things, you will use established technologies from distributed computer systems
• You implement the new methods and software components prototypically on embedded systems
• You design, implement and test demonstrators for testing in industrial applications

What part will you play?

In industrial sensor networks, it is not possible to make predictions about topology, traffic, and interactions due to changing participants, tasks, and network relationships. By tracing, logging, and measuring the behavior of IoT devices and their interactions, one can identify problems and unbalanced utilization and respond accordingly. In this thesis, you will explore and investigate methods, technologies and tools for monitoring and controlling smart sensor systems and sensor networks with regard to their behavior and performance:

• You determine the state of the art in the field of application performance monitoring and management
• You will examine methods and tools available on the market for their applicability in sensor systems and sensor networks
• You develop novel software components for sensor nodes
• You will develop procedures and methods for monitoring and controlling sensor systems and networks. Among other things, you will use established technologies from distributed computer systems
• You implement the new methods and software components prototypically on embedded systems
• You design, implement and test demonstrators for testing in industrial applications

We don’t need superheroes, just super minds.

• You successfully completed your university studies (standard duration > 4 years) in the field of electrical engineering, mechatronics, computer science or similar. You already gained basic knowledge in the areas of distributed systems, machine learning, network technology and embedded systems
• You have knowledge of hardware-related programming, especially on constrained device classes with real-time operating systems
• You are confident in using at least one system programming language (ideally C/C++/RUST) and have knowledge of a high-level language (such as Java Script, Python, golang)
• Due to the international structure of the doctorate, very good English and German skills are required. Knowledge of French is an advantage