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stillingsbetegnelse:
Postdoc position on the Security and Performance Analysis of IoT Networks

jobbeskrivelse:

DTU Compute's (http://www.compute.dtu.dk/english) Section for Embedded Systems Engineering (ESE) (http://www.compute.dtu.dk/english/research/ESE) would like to invite applications for a 1-year postdoc position, starting from 1 April 2019.

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.

Project Description

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 and 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. http://www.artemis-emc2.eu/ http://iotcenter.dk/enable-s3/

Responsibilities and tasks

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:

• Development of a screening method and tool on IoT security for companies;
• Contact the relevant Danish companies and the screening tool to measure the competencies and maturity of companies in IoT security.

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. The postdoc should perform the following tasks:

• Fill the gap of timing analysis research based on formal performance analysis methods in the coexistence possibilities of the time-triggered shaper and various event-triggered shapers in TSN networks;
• Implement a prototype of automatic reconfiguration integration with formal analysis-based reliable verification able to reduce the time spent for TSN network fined-grained reconfiguration;

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.

Qualifications

• Ph.D. in computer science, computer engineering, communication systems or similar, is required;
• Demonstrate the ability to using formal analysis method (e.g. network calculus);
• Demonstrate the ability to develop complex software;
• Experience in developing domain-specific languages;
• Teaching experience in related subjects will be a plus;
• Participation in academic collaborations in relevant areas;
• Relevant publication track record.

We offer

DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and terms of employment

The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 1 year.

The position is full-time starting 1April 2019 or as soon as possible according to mutual agreement.

You can read more about career paths at DTU here. http://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths

Further information

Further information concerning the project and the application is available by contacting Professor Paul Pop, paupo (at) dtu.dk or Associate Professor Nicola Dragoni, ndra (at) dtu.dk.

Application

Please submit your online application no later than 5 March 2019 (local time). To apply, please open the link "Apply online", fill out the online application form. The following must be attached in English:

• Application (cover letter)
• CV
• Diploma (MSc/PhD)
• List of publications
• An example publication where you were the main author
• A link to an example software project developed by you

Applications and enclosures received after the deadline will not be considered.

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

DTU Compute has a total staff of 400 including 100 faculty members and 130 Ph.D. students. We offer introductory courses in mathematics, statistics, and computer science to all engineering programmes at DTU and specialised courses to the mathematics, computer science, and other programmes. We offer continuing education courses and scientific advice within our research disciplines, and provide a portfolio of innovation activities for students and employees.

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government and public agencies.


numberOfPosts: 1

jobCategoriesCodes_0: http://data.europa.eu/esco/isco/C2310

abstractJV_contact_0: Please apply using one of the specified channels

positionTypeCode: directhire

contractTypeCodes_0: fulltime

Arbejdsgiver Navn: Danmarks Tekniske Universitet

source: DK-STAR