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PhD Thesis - Programming and optimizing collaborative interactions in large-scale energy-aware swarm systems

Job Description

Mode of Employment: Limited; 17,5 hours/week

 

Use your knowledge as a springboard.

Do you like the sound of finding the smartest solution side by side with professionals and experts? If so, complete your PhD thesis 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!

Change the future with us.

There is a tremendous increase in the number of interconnected devices in industrial scenarios contributing as actuators or sensors to one or more target applications. In addition, even the smallest devices get more and more computational and communication wise powerful. Thus, there is significant demand for technologies to trigger the next revolution in data-driven applications by developing true collaborative and distributed smart nodes. Here the empowerment of demand driven, context aware communication, the programming paradigms and optimization of large-scale distributed applications are key. This needs to take into consideration the increase of autonomy of the single devices and the KPI driven optimization, e.g., the energy-awareness of the single system but even more the perspective of the overall large-scale distributed, autonomous system.

In this research work you will:

  • Research on demanded interaction patterns in large-scale heterogeneous systems targeting smart nodes and loose coupling
  • Research state of art concepts, methods, tools and develop new mechanisms to tackle the identified challenges
  • Elaborate and develop concepts to derive node interaction contexts and derive KPI specific distributed situational awareness on the smart nodes; Derivation of concept to perform self-optimization of applications regarding given KPIs
  • Design and evaluate mechanisms to perform context-aware optimization of information flows in decentralized, collaborative systems
  • Implement and evaluate patterns and paradigms to program and manage large-scale distributed, autonomous systems
  • Build a testbed to bring your ideas and new approaches to life and for evaluation of representative use cases especially for large-scale distributed, autonomous, and energy-aware system

Your research will be carried out in the context of international research projects with academic and business partners of Siemens. This will give you the additional unique opportunity to directly work and exchange with external scientific experts in your research project. Beyond this we will support you to publish your work, to visit international conferences, to do academic stays at partner institutions, and to develop the ideas you have for the future of industrial systems.

What you need to make real what matters.

  • You have a strong drive for achievement, a genuine desire to discover and try out new things, and your curiosity about new technologies outperforms others
  • You have sound knowledge of Distributed Systems, Software Architecture and Software Development preferably in the area of Internet of Things, Edge and/or Cloud Computing
  • You have advanced knowledge in communication technologies and basic knowledge in AI and machine learning
  • You already have an excellent master’s degree in Computer Science, Software Engineering, Information Technology, or a similar field
  • You have proven experience and deep knowledge in implementing software in at least one high-level programming language – you love to code
  • Due to the international structure of the doctorate, excellent written and verbal English skills are required. German skills would be advantageous

Make your mark in our exciting world at Siemens.

www.siemens.de
if you wish to find out more about Siemens before applying.

Do you have questions about the application? Here you will find answers to frequently asked questions.
If you have more questions please contact: www.siemens.de/fragenzurbewerbung
www.siemens.com/careers
if you would like to find out more about jobs & careers at Siemens.

As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.

 

Organization: Technology

Company: Siemens AG

Experience Level: Early Professional

Full / Part time: Part-time

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