PhD Thesis : Programmable end-to-end industrial connectivity services

Job Description

Mode of Employment: Limited

Part Time: 17,5 h/week 

Headed to the future? Hop right in.

Industrial edge computing means data generated is processed at source and never leaves the location; and abstracted data may be forwarded for further processing to a central cloud. This together with Industrial 5G, TSN and programmable networking technologies are major building blocks for future industrial communication.

What part will you play?

Research topics:

  • Programmable network concepts with integrated intelligence (AI & ML), Use of Federated Learning for industrial network management
  • Digital twin of communication networks for predictive network behaviour using network simulation/emulation tools
  • Use case: "Programmable control of controllers" for end-to-end connectivity services: Combination/interaction of 5G RAN controller & TSN controller

PhD work:

  • Research on state of the art in the field of programmable industrial networks
  • Novel concepts for predictive industrial networks
  • Design and develop demonstrator

We don’t need superheroes, just super minds.

  • You have successfully completed Masters degree in Computer Science / Computer Engineering/ Physics or comparable
  • You have solid programming skills
  • You have practical experience of 5G, TSN, Kubernetes, Container/Docker and general networking topics
  • You are highly motivated, independent thinking with creativity
  • You have practical experience with either TensorFlow or PyTorch is a plus
  • You are passionate about solving real-world problems
  • You have excellent communication skills with a strong hold in the English language in oral and written form.

Make your mark in our exciting world at Siemens.
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As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.


Organization: Technology

Company: Siemens AG

Experience Level: Early Professional

Job Type: Part-time

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