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 at the University of Oslo. IFI is Norway’s largest university department for general education and research in Computer Science and related topics. The Department has near 950 students on bachelor level, near 450 master students, and over 180 PhD students. The overall staff of the Department is close to 250 employees, about 200 of these are full time positions. The full time scientific staff is 60, mostly Full/Associate Professors.

PhD Research Fellowship in Computer Science/Networking

A position as PhD Research fellow is available at the Department of Informatics.

If the successful candidate has a good knowledge of one Scandinavian language (Norwegian, Swedish, Danish), the fellowship will be for a period of 4 years, with 25 % compulsory work (teaching responsibilities at the Department). Otherwise, the fellowship will be for a period of 3 years, with no compulsory work. Targeted starting date: May 01, 2018.

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

Project title: Large-scale Internet deployment of RINA
RINA, the Recursive InterNetwork Architecture, is a novel “back to basics” approach to networking that is fundamentally different from today's networks. RINA was first presented by John Day in his book “Patterns in Network Architecture: A return to Fundamentals”.

Main objectives and summary of the projects
Deployment of a new architecture in today’s Internet is very difficult. In the OCARINA project, in order for RINA to have a phased adoption and to gradually supplant TCP/IP networks at a large scale, we see three essential enablers for deploying RINA in the Internet:

  1. RINA as an Overlay: RINA traffic is sent over TCP/IP, e.g. when connecting native RINA applications via an Internet path, or when tunneling through the Internet for a subset of a RINA path.
  2. RINA as an Underlay: TCP/IP traffic is sent over a RINA network.
  3. TCP/IP-RINA Gateway: A RINA-enabled application on one side could talk to a non-RINA-application on the other, or, when a segment of an Internet path is a native RINA path or a segment of a RINA path is a TCP/IP path, a translation could be carried out at the segment edges instead of using the other technology as an Underlay.

Our new mechanisms will be implemented, tested and evaluated in the RINA SDK, and we will see how RINA can be gradually deployed in (over/under/alongside) the Internet.

Project background and scientific basis.
Because TCP/IP is supposed to work well across any network and even remain operational in the face of network technologies that do not yet exist, it is a one-size-fits-all architecture with many embedded compromises. On the other hand, RINA shows great potential in many aspects of networking, e.g. by simplifying management and providing better security. The recursive nature of RINA calls for radically different approaches to how networking is performed. More information on RINA and the OCARINA project can be found here.

The candidate will be teamed up with two other candidates who are now working on RINA’s congestion control and dynamic routing in the OCARINA project.

Research questions and scientific challenges
Research questions to be tackled for Internet deployment include: 1) what are the limitations of a TCP/IP-RINA gateway? 2) can RINA flows be effectively bridged to TCP or UDP flows? 3) what are the benefits for existing IP networks to use RINA as a transport? 4) how are RINA flows affected in case of using TCP/IP as a transport? 5) how can services be mapped into RINA requirements? 6) how is the performance of RINA congestion control and routing affected/improved in case of deployment over/under/alongside the Internet?

Scientific methods
Our main method for testing our new developments is experimental evaluation on a real testbed that is built as part of the project. The testbed results will be validated against the existing RINA implementation in the OMNeT++ simulator.

Requirements and qualifications:
The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. 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.

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

The candidate must have a master degree or equivalent in computer science and documented knowledge about networking, e.g. by having good grades in a substantial networking course. The candidate should preferably have written a master thesis in networking related to different networking layers and network interoperability. Furthermore, a good knowledge of programming in Linux is an advantage.

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:

A good command of English is required

Doctoral degree: PhD in Mathematics and Natural Sciences

Doctoral degree and PhD

We offer:

  • Salary NOK 436 900 - 490 900, per year depending on qualifications and seniority.
  • Attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities.

The application must include:

  • Application letter
  • CV (summarizing education, positions and academic work - scientific publications)
  • Copies of educational certificates, transcript 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)

Foreign applicants are advised to attach an explanation of their University’s grading system. Please remember that all documents should be in English or a Scandinavian language.

The application with attachments must be delivered in our electronic recruiting system, please follow the link “Apply for this job”.

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

 

According to the Norwegian Freedom and 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.

 

UiO has an agreement for all employees, aiming to secure rights to research results a.o.

 

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

 

For further information please contact:

Professor Stein Gjessing,: +47 228 52444, steing@ifi.uio.no

Professor Michael Welzl,+47 228 52420, michawe@ifi.uio.no

Dr. Peyman Teymoori,+47 228 40685, peymant@ifi.uio.no

For questions about the recruitment system, please contact HR Officer Helene Jansen, +47 22857196, h.b.jansen@mn.uio.no

Søk stillingen

Om stillingen

  • Søknadsfrist
    1. november 2017
  • Arbeidsgiver
    University of Oslo
  • Nettside
  • Kommune
    Oslo
  • Jobbnorge-ID
    142787
  • Intern-ID
    2017/11325 - 1017
  • Omfang
    Heltid
  • Varighet
    Engasjement

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