PhD position in Computer Science, Software Defined Time Sensitive Networks - Hiring in process/Finished, not possible to apply

Description

A PhD position in computer science, focused on Software Defined Time Sensitive Networks, is available within the Distributed Systems and Communications (DISCO) research group at the Department of Mathematics and Computer Science, Karlstad University. Research within DISCO is focused on computer networking, cloud computing and next-generation networking technologies such as programmable networking, SDN/NFV and 5G.

The Department of Mathematics and Computer Science consists of the two research subjects: Mathematics and Computer Science. It has a research and teaching staff of more than 60 persons. In Computer Science, research and education are focused on computer networking and distributed systems, computer security and privacy, and software engineering. Both research and education are conducted in close cooperation with international, national and regional partners from both academia and industry.

Duties

The PhD position is linked to a new project AIDA, which is an industrial collaboration project funded by the Knowledge Foundation of Sweden. AIDA aims to develop a framework for next-generation Industrial Internet of Things (I-IoT), where software defined Time Sensitive Networks (TSNs) interact with real-time edge compute and machine learning to support new use cases including Industry 4.0, smart manufacturing and real-time process control. Existing time sensitive networks are quite statically configured and managed. With the Integration of TSN with 5G and real-time edge computing, a dynamic management and (re-)configuration of TSN elements is required to solve the configuration challenge and to enable dynamic updates of network states. A software defined control plane for TSN has to be investigated within this PhD position.

The candidate is expected to carry out research in this area by combining implementation work with practical experiments, simulations and/or emulation of time-sensitive networks and protocols. The candidate should have strong background and interest in optimization, machine learning, and software defined TSN. Knowledge and/or experience within one or more of the areas of communication protocols, SDN controller programming, practical work with Linux/Unix, network simulation/emulation, and data analysis are therefore desirable. It is required that the candidate has very good programming skills, as well as proficiency of the English language (written and spoken).

The candidate is expected to work independently, as well as in teams. A majority of the work will be done in cooperation with other scientists and engineers from Ericsson Research, and it is therefore desirable that the candidate is able to perform well in collaborative work and has experience of working in projects.

Eligibility

Eligible for this position are candidates that meet the general admission requirements as well as the specific admission requirements and be judged to have the ability otherwise required to pursue the programme successfully.

A person who has earned a Master’s degree of at least 240 ECTS credits of which at least 60 ECTS credits are earned for studies at master’s level, or who in some other way in the country or abroad has acquired largely equivalent knowledge, has general eligibility for admission. A person with a Master’s degree (60 credits) in computer science, a Master’s degree (120 credits) in computer science or a Master of Science degree in computer technology has special eligibility for admission to doctoral studies in computer science. A person who in some other way in the country or abroad has acquired equivalent qualifications also has special eligibility.

Admission and assessment criteria

For admission to doctoral studies an applicant must be judged to have the ability required to pursue the programme successfully (Higher Education Ordinance, Ch. 7, sect. 35). Admission is based on individual assessment of the candidates’ abilities to successfully pass the research education.

In order to succeed as an doctoral student at Karlstad University the candidate need to be goal oriented and persevering in your work. In the selection of the applicants, the following will be assessed:

- ability to independently pursue his or hers work,

- ability to collaborate with others,

- have a professional approach

- analyse and work with complex issues.

After the qualification requirements, great emphasis will be placed on personal qualities and personal suitability.

Terms of employment

Upon admission to doctoral studies, a studentship position will be offered (Higher Education Ordinance, Ch. 5, sect.3). The position is a full-time, fixed-term employment (one year that can be extended by two years at the most at a time) with starting-date by agreement.

Further information

Karlstad University places great value on the enriching presence of diverse backgrounds and gender balance in the organisation. We welcome applicants with different cultural backgrounds, gender identities, functional abilities and life experiences.

Application

Your application should include well documented qualifications. Applicants are responsible for submitting a complete application in accordance with the advertisement before deadline and for ensuring that the documentation allows for objective and qualitative assessments. An incomplete application may jeopardise a fair assessment of qualifications.

Applications should include

• Application letter with a brief description of what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
• CV including your relevant experience and knowledge and a list of your publications (if applicable).
• Copy of the degree certificate(s) and transcripts of records from your previously attended university-level institutions. Translations into English or Swedish if the original documents are not issued in one of these languages.
• Copy of a Master thesis (one or two years) or equivalent,
• Copies of publications or certificate of other qualifications, if applicable
• A letter of recommendation.
• Contact information for two reference persons, of which at least one is a former or present supervisor, or equivalent. We reserve the right to contact references only for shortlisted candidates

Submit your application via the University’s web based recruitment tool and attach all the documents and publications you wish to be considered to the electronic application (do not provide links to them). A complete application should be submitted no later than the application deadline.

Documents that can´t be sent electronically such as books and other publications should be sent to:

Karlstads universitet
Registrator
651 88 Karlstad

State the ref.no REK2020/165

Last day of application: 15 September 2020

We look forward to your application!

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