Doctoral students in Trustworthy Edge Computing, Cyber-Physical Systems at KTH Royal Institute of Technology

The limitations of centralized cloud computing systems as well as of the local embedded systems, motivate the introduction of a new computing layer, providing substantial computing and storage resources near the user and applications. Here - edge computing systems (alternatively called micro datacenters or fog nodes) have a tremendous market potential with applications in interactive human in the loop applications, real-time data analytics, and collaborative Cyber-Physical Systems (CPS).

The competence center is focusing on research paving the way for novel trustworthy edge computing systems and applications as part of industrial digitalization, emphasizing challenges related to predictability, safety and security

The primary objective of these PhD positions is to increase the trustworthiness, intelligence and efficiency of CPS through edge computing. CPS perform real-time and often safety-critical monitoring, analysis, control, and decision-making functions. The computing tasks of such systems will be distributed between on-device, edge, and cloud where the edge systems provide opportunities for novel AI-driven applications. Introducing edge computing in the context of CPS requires research to solve challenges for how to provide the desired predictability, safety and security. Desired system properties are often achieved through a novel combination of new algorithms, architectures and fast and secure communications. Design methods, tools and architectures will be developed to support modeling, simulation, optimization, verification, validation and safety assurance of trustworthy edge-computing based cyber-physical systems.

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Doctoral students in Trustworthy Edge Computing, Cyber-Physical Systems at KTH Royal Institute of Technology