PhD student in Computer and Information Science

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PhD student in Computer and Information Science with an orientation in Continuous (Model-based) System Engineering

Linnaeus University is the sixth largest university in Sweden and has a well-established Department of Computer Science and Media Technology with an international reputation. The department currently has more than 60 faculty members who research significant computer science and media technology areas, such as software engineering, visualization and visual analytics, embedded and adaptive systems, artificial intelligence, and learning and knowledge technologies.  Our mission is to educate the next generation of scientists to bring about scientific and technological innovations to the nation and the world. The department is part of the Faculty of Technology.

Field of study: Information and Computer Science

Terms of employment: 100 % employment as PhD student. 

Type of employment: The employment as a PhD student is limited according to chapter 5, § 7 of the Higher Education Ordinance. The total employment period may not be longer than the equivalent full-time postgraduate studies of four years.

Start: Spring term 2021

Location: Växjö

Work description

According to the Higher Education Ordinance, a person appointed to a PhD studentship should primarily devote himself/herself to his/her studies, with a PhD degree as the goal. A PhD student may work, however, to a limited extent with education and administration. However, before a PhD degree has been awarded, duties of this kind may not comprise more than 20% of a full-time post.

New technologies, such as CPS and IoT, and advancements in networking, e.g., 5G, create the foundational infrastructure for a new world. Here, real-life objects can interact with each other and with humans to offer boundless opportunities to industry and society, e.g., Smart City, Smart Industry, and Smart Energy. This opens up for new opportunities, but also to new challenges. In such a dynamic and open system, "change" is the only constant; everything is connected and can suddenly appear, disappear, move around, and take autonomous decisions.

The "Engineering Resilient Systems" (EReS) research group investigates software engineering methods and tools for architecting, modeling, analyzing, developing, validating, and operating large-scale complex systems.

The PhD position's research objective is how Continuous (Model-based) System Engineering approaches can make software systems resilient and accommodate the change. Continuous refers to automated and never-ending engineering approaches. In contrast, System Engineering refers to holistic and multi-disciplinary engineering approaches that consider all the system constituents, the possible affecting factors, and the properties of interest at once.

The PhD student will actively participate in research and teaching activities at the Department and the research group. More information about the doctoral studies in Computer and Information Sciences, which includes Media Technology, can be found at:

https://lnu.se/contentassets/1a094470c50e4b668864e31f000f86bf/asp-computer-and-information-science.pdf

For requirements, assessment grounds and contact persons visit our homepage.

https://lnu.se/en/meet-linnaeus-university/work-at-the-university/?rmpage=job&rmjob=5733&rmlang=UK

Last day to apply 2021-04-21.


Linnaeus University has the ambition to utilize the qualities that an even gender distribution and diversity brings to the organization.

Please apply by clicking on the Apply button at the bottom of the ad. Applicants are requested to the application resolving CV, cover letter , a copy of a relevant essay , grades and certificates and other relevant documents. The applicant also requested to submit with their application a proposed research plan within the current area of research. All documents must be attached to digital in the application. The application and other documents shall be marked with the reference number. All documents cited must be received by the University no later than 24.00 (Local time in Sweden) on the closing day.