Ledig stilling på Universitetet i Oslo

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

Postdoc position in biostatistics / stochastic processes

Deadline: 31.12.2022

Universitetet i Oslo

The University of Oslo is Norway’s oldest and highest ranked educational and research institution, with 28 000 students and 7000 employees. With its broad range of academic disciplines and internationally recognised research communities, UiO is an important contributor to society.


The Institute of Basic Medical Sciences overall objective is to promote basic medical knowledge in order to understand normal processes, provide insight into mechanisms that cause illness, and promote good health. The Institute is responsible for teaching in basic medical sciences for the programmes of professional study in medicine and the Master's programme in clinical nutrition. The Institute has more than 300 employees and is located in Domus Medica.

Job description

Applications are invited for a 3-year Postdoctor position in Biostatistics to be based at the Oslo Centre for Biostatistics and Epidemiology (OCBE), Department of Biostatistics, University of Oslo.

This is an opportunity to join one of Europe’s most active biostatistics groups in an exciting time. Currently, OCBE includes 10 tenured professors and associate professors, 15 researchers, and several postdoctoral fellows and PhD students, making up a group of about 70 individuals in total. OCBE is internationally recognized, with interests spanning a broad range of areas (including time-to-event models, causal inference, data integration, statistical genomics, high dimensional data, and models, bayesian inference, stochastic simulation algorithms, probabilistic graphical models, machine learning, evolution and population genetics, informative missingness and measurement error models, epidemiological studies of lifestyle and chronic diseases, and stochastic models for infectious diseases). OCBE has numerous collaborations with leading biomedical research groups internationally and in Norway.

More about the position

The position is linked to the larger project “Stochastic differential equations for robust evaluation of cancer treatments with registry data’’ funded by the Norwegian Research Council.

The overall objective of this project is to develop better statistical methods for trustworthy evaluation of cancer treatments from registry data in order to support decision makers when forming official clinical guidelines. We use tools from survival analysis, causal inference and stochastic calculus. This particular work package is expected to involve particular techniques from the theory of stochastic differential equations, so the ideal candidate should have some experience with Ito-integrals, martingales etc.

The postdoc will be part of the causal inference group at OCBE, with about ten other researchers, including PhD students and postdocs, working on causal inference and time-to-event analysis with applications in medicine and epidemiology.

Starting date for the position is January 1st 2023.

The main purpose of the fellowship is to qualify researchers for work in higher academic positions within their disciplines.

Qualification requirements

  • Phd degree or equivalent in statistics or mathematics with emphasis on stochastic processes and causal inference
  • Interest in developing methods for applied problems
  • Good programming skills (in R, Matlab, Python, C++ or similar). Experience with analyzing large datasets or registry data is an advantage, but not necessary
  • Fluent oral and written communication skills in English

Personal skills

  • Ability to work independently and efficiently
  • Good collaborative skills

We offer

  • Salary NOK 544 400 – 626 300 per annum depending on qualifications in position as Postdoctoral Research Fellow (position code 1352)
  • A friendly, ambitious and international working environment
  • Opportunities for national and international collaborations
  • 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

How to apply

The application must include

  • Cover letter statement of motivation and research interests
  • CV (summarizing education, positions and academic work)
  • Copies of educational certificates (academic transcripts only)
  • List of publications, academic works, published abstracts or presentations
  • List of 2-3 references (name, relation to candidate, e-mail and phone number)

The application with attachments must be delivered in our electronic recruiting system. 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 applicant’s academic and personal prerequisites to carry out the project. Applicants may be called in for an interview.

It is expected that the successful candidate will be able to complete the project in the course of the period of employment.

Formal regulations

Please see the guidelines and regulations for appointments to Postdoctoral fellowships at the University of Oslo.

No one can be appointed for more than one Postdoctoral Fellow period at the University of Oslo.

No one can be appointed twice as a Postdoctoral Research Fellow financed with funds from The Research Council of Norway (NFR).

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.

Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.

If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.

Contact information

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