Ledig stilling på Universitetet i Oslo

Blindern og Urbygningen (Foto: Wikimedia og Colourbox)
Blindern og Urbygningen (Foto: Wikimedia og Colourbox)

PhD Research Fellow in Cognitive Computing from Cloud to Edge

Deadline: 30.10.2020

Universitetet i Oslo

The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.


The Department of Informatics (IFI) is one of nine departments belonging to the Faculty of Mathematics and Natural Sciences. IFI is Norway’s largest university department for general education and research in Computer Science and related topics.


The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and postdocs. The overall staff of the Department is close to 370 employees, about 280 of these in full time positions. The full time tenured academic staff is 75, mostly Full/Associate Professors.

Job description

Position as PhD Research Fellow in Cognitive Computing from Cloud to Edge is available at the Networks and Distributed Systems cluster (ND), Department of Informatics, University of Oslo.

The fellowship period is three years.

The starting date for the position is negotiable, but preferably not later than January 2021.

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.

About the position

Current cloud-based systems delegate the bulk of their data processing and storage activities to cloud data centres, creating major network traffic, delay and cost issues. Fog/Edge computing addresses these challenges by moving computation closer to the end devices, e.g. performing ultra-low latency machine learning inference at the edge for smart vehicles in 5G networks. In such environments, new AI-enabled cloud computing models are required to automatically adapt to the growing complexity and data volumes and fully automate service deployment and orchestration across diverse computing platforms from the Cloud to the Edge. In this project, the student is expected to work on the concept of Cognitive Edge Cloud which is aimed to achieve the above goal through interfacing with all the layers in the computing continuum and learning through the monitoring and management of resources in Cloud/Edge.

The PhD candidate will be part of an excellent research team focusing on Dynamic and Intelligent Computing Models for Cloud and Edge. We are currently conducting the research in this field within two prestigious research projects: one international EU project H2020 MORPHEMIC, and one national project RCN DILUTE.

Research and study environment:

The PhD project will be conducted at the Networks and Distributed Systems (ND) research group at the Informatics Department. ND is renowned for its leading research in networking, distributed systems, IoT/CPS systems design, cloud and edge computing models, energy informatics, and security and robustness. The group has long experience in coordinating and participating several EU projects, namely, EU FP6 QuA, FP6 MADAM, FP7 MUSIC, FP7 RITE, H2020 NEAT, H2020 HOLACloud, H2020 MELODIC, and H2020 MORPHEMIC. ND collaborates closely with well-known universities worldwide, such as UIUC, Princeton Uni., Cornell Uni., Uni. of Toronto, Uni. of California Irvine, TU Munich, and Vrije Uni. Amsterdam.

Qualification requirements

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

  • Applicants must hold a Master’s degree or equivalent in Computer Science
  • Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
  • The candidate should have good analytical and programming skills.
  • The candidate should have interest and strong background in distributed computing, machine learning, and cloud computing.
  • The candidate should preferably have written a master thesis on programming or distributed computing aspects of Cloud/Edge/IoT.
  • It is desirable that the candidate has good knowledge on Fog computing, Edge computing and 5G.
  • The evaluation considers many aspects of excellence, such as being ambitious, intellectually curious, hard-working, and dedicated.
  • Fluent oral and written communication skills in English

Grade requirements:

The norm is as follows:

  • the average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
  • the average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
  • the Master’s thesis must have the grade B or better in the Norwegian educational system
  • Fluent oral and written communication skills in English.
  • English requirements for applicants from outside of EU/ EEA countries

The purpose of the fellowship is research training leading to the successful completion of a PhD degree.

The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position. For more information see:

http://www.uio.no/english/research/phd/

http://www.mn.uio.no/english/research/phd/

We offer

  • Salary NOK 479 600 – 523 200 per annum depending on qualifications and seniority as PhD Research Fellow (position code 1017)
  • Attractive welfare benefits and a generous pension agreement
  • Vibrant international academic environment
  • Career development programmes
  • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities

How to apply

The application must include:

  • Cover letter - statement of motivation and research interests
  • CV (summarizing education, positions and academic work - scientific publications)
  • Copies of the original Bachelor and Master’s degree diploma, transcripts of records and letters of recommendation
  • Documentation of English proficiency
  • List of publications and academic work that the applicant wishes to be considered by the evaluation committee
  • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

The application with attachments must be delivered in our electronic recruiting system, please follow the link “Apply for this job”. Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English (or a Scandinavian language).

When evaluating the application, emphasis will be given to the cover letter and the applicant’s academic and personal prerequisites to carry out the project. Shortlisted candidates will be called for interview.

Formal regulations

Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.

According to the Norwegian Freedom of Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

The University of Oslo has an agreement for all employees, aiming to secure rights to research results etc.

The University of Oslo aims to achieve a balanced gender composition in the workforce and to recruit people with ethnic minority backgrounds.

Contact information

For questions regarding the recruitment system, please contact HR Adviser Torunn Standal Guttormsen, phone:+47 22854272,e-mail:[email protected]

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