Postdoc Position on The Security and Performance Analysis of Iot Networks

Technical University of Denmark is pleased to invite applicants to apply for a postdoc position in computer science. The deadline to apply is March 05, 2019.

DTU Compute's Section forEmbedded Systems Engineering(ESE) would like to invite applications for a 1-year postdoc position, starting from

DTU Compute is an internationally unique academic environment spanning the science disciplines mathematics, statistics and computer science. At the same time, we are an engineering department covering informatics and communication technologies (ICT) in their broadest sense. Finally, we play a major role in addressing the societal challenges of the digital society where ICT is a part of every industry, service, and human endeavour. DTU Compute plays a central role in education at all levels of the engineering programmes at DTU, both in terms of our scientific disciplines and our didactic innovation.

The section on Embedded Systems Engineering (ESE) is one of eleven sections in DTU Compute, consisting of over 10 scientific staff, 5 postdocs and 15 PhD students. ESE has a strong research track record and international collaboration, being involved in several EU and national projects, and with several best-paper awards at prestigious international conferences. ESE has vast experience in the area of methods tools and architectures for distributed real-time dependable embedded systems.

The aim of the new position is to expand the department's research in the area of methods and tools for the performance analysis, optimization and security related of IoT networks, with a focus on Industrial IoT, i.e., safety-critical real-time networks.

Modern real-time and safety-critical applications, like those found in industrial automation, airplanes and aerospace and automotive domains, are more and more depending on the capabilities of a reliable real-time communication network. Their failure or malfunction could cause serious harm to humans, equipment, environment or lead to huge financial losses. Today these systems dramatically increase in size and complexity and will continue to do so in the foreseeable future, e.g., with developments around the Internet of Important Things (IoIT). Time-Sensitive Networking (TSN) is an upcoming set of Ethernet standards designed for real-time and safety-critical applications by specifying new flow control mechanisms. However, with the complexity and coexistence of different form of service mechanisms, the performance and schedulability analysis, and the computation of tight upper bounds on network traversal times are becoming a crucial industrial need and challenge to help with a fined-grained configuration. We develop methods and tools (which requires developing complex software) for the analysis and optimization of mixed-criticality systems. We would like to continue the work we have done so far in the EMC2 ENABLE-S3 projects. We have addressed Ethernet-based protocols, such as TTEthernet and TSN, which are well suited for mixed-criticality applications. We did some preliminary work developing methods and tools for the performance and security analysis of TTEthernet and TSN networks used to transmit mixed-criticality messages.

The project has two parts, one practical and one theoretical. For the practical part, the aim is to contribute to the goal of creating greater strategic awareness of IoT security from the management level and downwards in Danish business, and to upgrading companies both commercially, organizationally and technically for strategic and commercial exploitation of IoT security. Hence, the postdoc should contribute to the following tasks: For the theoretical part, the goal is to provide formal network performance analysis methods to improve TSN network computation and help in the automatic reconfiguration for interconnected safety-critical industrial systems.

In addition, there will be an opportunity to do teaching at the master's level; the position may also involve handling administrative tasks to a limited extent.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.


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