Ledig stilling på Universitetet i Oslo

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

PhD Research Fellow in Stochastics and Energy Systems

Deadline: 01.08.2020

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.

Department of Mathematics is part of the Faculty of Mathematics and Natural Sciences. The Department is engaged in research covering a wide spectrum of subjects within mathematics, mechanics and statistics.

Job description

Position as PhD Research Fellow in Stochastics and Energy Systems available at the Department of Mathematics.

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. Starting date no later than 31.12.2020.

The fellowship period is 3 years and devoted to carrying out a project entitled Spatial-Temporal Uncertainty in Energy Systems (SPATUS). SPATUS is a Thematic Research Group funded by UiO:Energy, and managed by the Department of Mathematics and in collaboration with the Department of Technology Systems.

The candidate will work on a project modelling temperature, wind and cloud dynamics using spatial-temporal random field models. By developing new mathematical models and analysis, the impact on renewable power production and energy systems will be studied. The position offers a unique possibility to study mathematical problems and theory in a context with impact on the planning for a green energy future.

The research will be supervised in collaboration between the Departments of Mathematics and Technology Systems (by professors Fred Espen Benth and Marianne Zeyringer, respectively). Please see https://www.mn.uio.no/math/english/research/projects/spatus/ for a detailed description of the SPATUS Thematic Research Group and its scientific project.

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.

  • Master’s degree or equivalent in mathematics, with a specialisation in stochastics.
    • Candidates which will hand in their master thesis before end of August 2020 can also apply (with a confirmation from their supervisor of the submission deadline).
    • Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
  • A background in one or more of the fields system analysis, functional analysis, partial differential equations, statistics, probability theory and numerical analysis is an advantage.
  • Fluent oral and written communication skills in English.

English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements:


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

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

We offer

  • Salary NOK 479 600 – 523 200 per annum depending on qualifications in a position 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 further information please contact:

  1. Professor Fred Espen Benth, e-mail: [email protected]

For questions regarding the recruitment system please contact: HR adviser Nina Holtan, [email protected].

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