Ledig stilling på Universitetet i Oslo

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

PhD Research Fellow in Partial Differential Equations and Stochastic Analysis

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.


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.

Flere stillinger fra Universitetet i Oslo

A PhD research fellowship in Partial Differential Equations and Stochastic Analysis is available at the Department of Mathematics at the University of Oslo, Norway.

The fellowships will be for a period of 3 years, with starting date no later than 01.10.2020.

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

The PhD position is linked to the project INICE: Irregularity and noise in continuity equations, a Young Research Talents project funded by the Research Council of Norway and headed by Associate Professor Ulrik Skre Fjordholm.

The research will focus on the theory and/or numerical analysis for partial differential equations that are degenerate, in one way or another: Such equations are characterized by non-linearity (e.g., non-linear hyperbolic conservation laws), irregular coefficients (e.g., continuity equations with irregular velocity fields), non-uniqueness of solutions, singular or irregular solutions (e.g., measure-valued solutions), as well as the presence of noise.

The purpose of the fellowship is research training leading to the successful completion of a PhD degree at the University of Oslo. The PhD studies at the University of Oslo are characterized by a strong research component. The PhD thesis consists of several scientific papers at the level of leading scientific journals. The candidates are also required to take a small number of advanced courses as part of their training component for the degree.

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.

Qualification requirements:

  • Master’s degree or equivalent in Mathematics
  • Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
  • Have documented a strong background in partial differential equations (PDEs) and/or numerical methods for PDEs.
  • A background in stochastic analysis or probability is desired, but not required.

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
  • 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 rich opportunities for culture and outdoor activities

How to apply

The application must include

  • Cover letter including statement of motivation and research interests
  • CV summarizing education, positions and academic work, and scientific publications (if any)
  • Copies of the original Bachelor and Master’s degree diploma, transcripts of records
  • Copies of publications and academic work, including Master’s thesis
  • Documentation of English proficiency
  • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)
  • Letters of recommendation. These can be also be sent directly to the contact persons (see below)

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.

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 regarding the position, please contact:

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

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