Postdoctoral appointment in Software Defined Time Sensitive Networks - Hiring in process/Finished, not possible to apply

Description

The Faculty of Health Science and Technology has an opening for a full-time post-doctoral research fellow with focus on software defined Time Sensitive Networks (TSN). The position 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.

The position is a full-time position for one year with the possibility to extend for another year based on mutual agreement. The starting date for the position is within the time span of January 1, 2021 and March 31, 2021.

Duties

The post-doctoral fellow will work in 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 (TSN) interact with real-time edge compute and machine learning (ML) 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 project.

The following research directions will be investigated:

- ML and decision making algorithms over networks

- Software defined control plane for TSNs

A successful candidate will perform formal analysis as well as experimental validation of concepts in the context of networked systems.

Qualification requirements

To be eligible for the position, applicants are required to hold a recent PhD degree in Computer Science, Computer Engineering, Mathematics or Electrical Engineering (or equivalent qualifications). The candidate must have completed the degree no more than three years before the last date for applications, unless special ground exists.

Assessment criteria

In the assessment procedure, emphasis will be placed on the applicant's scientific experience in relation to network optimization, time sensitive networks and software defined networking, including

(1) Strong software architectures and/or algorithms design / implementation / prototyping skills
(2) Hands-on experience/expertise in some of the following areas:

- Artificial Intelligence (AI)/(ML) techniques for network management

- Control plane architecture for TSNs

- Fault and configuration management in networks

- Software defined networking related technologies

(3) Publications in high impact journals and well-known conference proceedings,
(4) Oral and written communication skills in English,
(5) Ability to independently pursue his or hers work,
(6) Ability to collaborate with others 

Terms of employment

The position is a full-time position for one year with the possibility to extend for another year based on mutual agreement. The starting date for the position is within the time span of January 1, 2021 and March 31, 2021.

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

Application should include well documented qualifications. Applicants are responsible for submitting a complete application in accordance with the advertisement and for ensuring that the documentation allows for objective and qualitative assessments. A complete application should be submitted no later than the application deadline.

The application should include:

• CV including your relevant professional experience and knowledge and a list of your publications.
• 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)
• 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.
• 2 Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.
• A letter of recommendation.
• Contact information for two reference persons. 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).

One copy of documents that cannot be submitted electronically should be sent to

Karlstads universitet
Registrator
651 88 Karlstad

State ref.no: REK2020/172

Application deadline: 15 September 2020

We look forward to your application!

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