Postdoctoral appointment in Monitoring and Optimization of Edge Services - 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 performance monitoring and optimization of real-time edge services. 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.

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. With industrial control applications running as a collection of containerized micro-services in the edge/cloud, ensuring that real-time guarantees are met across the entire communication and processing chain is a big challenge, and performance monitoring to understand system performance and aid root-cause analysis, detect service violations, and initiate needed system (re-)configurations and optimizations becomes crucial. Solutions for real-time performance monitoring and optimization of container-based edge services has to be developed within this project.

The following research directions will be investigated:

• design of a distributed real-time performance monitoring framework for container-based edge services
• network telemetry solutions to capture fine-grained timing of application traffic across container chains
• modelling, validation, prediction and optimization of system performance based on monitoring information

A successful candidate will perform design and analysis as well as implementation and experimental validation of solutions in the context of real-time industrial IoT applications.

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 performance monitoring, edge/cloud solutions and network management and optimization, including:

• Strong software architectures and/or algorithms design / implementation / prototyping skills
• Hands-on experience/expertise in some of the following areas:
  • Tools, techniques and methods for performance measurements and monitoring
  • Real-time edge/cloud systems and services
  • Modern virtualization technologies such as container-based frameworks
  • Programmable networking, including technologies such as INT, XDP and eBPF.
  • Linux kernel programming
  • Artificial Intelligence (AI)/(ML) techniques for network management
• Publications in high impact journals and well-known conference proceedings;
• Oral and written communication skills in English,
• Ability to independently pursue his or hers work,
• 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 by mutual agreement with an earliest possible starting date of November 1, 2020.

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:

• 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 professional experience and knowledge and a list of your publications.
• 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.
• Max 2 representative publications, thesis or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.
• Letter of recommendations.
• 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). A complete application should be submitted no later than the application deadline.

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

Karlstads universitet
Registrator
651 88 Karlstad

State the ref.no REK2020/175

Last day of application: 15 September 2020

We look forward to your application!

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