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in Computation and Communication Systems
Reference number: 2779-12
The Dependable Computation and Communication Systems research group at Luleå University of Technology, Sweden seeks to employ one PhD student to work on Dependable wireless machine-to-machine communications. The research activities at DCC focus mainly on various aspects of modern industrial computing; such as system level design and validation of industrial control and automation systems, simulation and verification and dependable communication. Dependable Computation and Communication Systems is a broad discipline that covers design and development of mission-critical computer-based information, control and communication systems in various industries. Central research areas are related to distributed information and control systems design, such as (but not limited to): industrial automation systems; material handling and transport infrastructures; new energy generation and consumption infrastructure (SmartGrid or Energy Internet) and communication infrastructures of next generations (4G and beyond)
DCC subject description: The research subject focuses on an integrated development of network architectures, resource efficient algorithms, and programming paradigms for enabling an application-tailored design of dependable communication and computing systems.
LTE, machine-to-machine communications, holographic data representation, queueing theory, random environment.
Today we are witnessing a change in the communication paradigm due to emergence of machine-to-machine communications. In order to handle massive data generated by billions of machines and make it ready for performance critical real-time services new ways for information representation should be investigated and the communication and computing infrastructure needs to be properly dimensioned.
This project concerns development of novel communication approaches based on principles of cognitive information representation and computation as well as system-level modelling of large-scale communication and computing infrastructures in face of new data traffic patterns.
We seek a candidate with a master degree in computer science, computer engineering, or other advanced degree or fully completed course requirements of at least 240 ECTS, of which at least 60 ECTS are at an advanced level or equivalent knowledge. English language skills are required. Participation and prizes on national or international mathematics contests as well as the existing scientific publications in international peer-reviewed proceedings in the area of the research topic is considered as a definite plus.