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PhD Research Fellow in Smart Connectivity for Critical IoT Applications

Deadline: 29.02.2020

Job description

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..

Flere stillinger fra Universitetet i Oslo

Position as PhD Research Fellow in Internet of Things (IoT) is available at the Department of Informatics in the Section for Digital Infrastructures and Security (DIS), University of Oslo.

The fellowship period is 3 years devoted to research education. Candidates may be offered one additional year by the Department of Informatics; the 4 years position then entails a compulsory work load of 25% that may consist of teaching, supervision duties, and research assistance.

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. Starting date no later than 01.10.2020.

More about the position

The PhD fellow will focus on smart connectivity solutions for Critical IoT applications in 5G and beyond architectures. Critical IoT applications such as autonomous driving for the automotive industry, remote surgery for eHealth and cloud robotics for Industry 4.0 are characterized by their demand for extremely low latency and reliability.

The target of the PhD project will be developing novel algorithms and solutions to support zero-perceived latency given the application requirements, by leveraging Mobile Edge Computing (MEC) together with Artificial Intelligence (AI) and Machine Learning (ML) techniques. The PhD project will have an experimental focus and involve algorithm development, prototype implementation, analysis and experimentation.

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.

Interested applicants for this position are required to:

  • Hold a Master degree or equivalent in Computer Science, Electrical/Computer Engineering or related fields
  • Foreign degrees (M.Sc.-level) must correspond to a minimum of four years in the Norwegian educational system
  • Have a solid background on networking and communications systems (familiarity with IoT and edge computing is a plus)
  • Have experience with machine learning and statistics through course/project work
  • Have experience with Linux and scripting languages
  • Possess good interpersonal skills and show willingness to work as part of an international team

Candidates without a Master’s degree have until 30 June, 2020 to complete the final exam.

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. Good skills with a Scandinavian language would be an advantage, but it’s not required.
  • 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).

Applicants may be called in for an 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 enquiries about this position please contact:

  • Associate Professor Özgü Alay, e-mail: ozgua@ifi.uio.no

For questions regarding the recruitment system, please contact: Torunn Standal Guttormsen, phone:+47 22854272,e-mail:t.s.guttormsen@mn.uio.no

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