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University of Oslo PhD Position in Biostatistics/Epidemiology 2017, Norway

Publish Date: Apr 07, 2017

Deadline: Apr 17, 2017

PhD position in Biostatistics/Epidemiology

One PhD position is available for 3-4 years at the Oslo Centre for Biostatistics and Epidemiology (OCBE), Department of Biostatistics at the Institute of Basic Medical Sciences, University of Oslo, Norway.

This is an opportunity to join one of Europe's most active biostatistics and epidemiology groups at an exciting time. Currently, OCBE includes nine tenured professors and associate professors, twelve researchers, and several post-doctoral fellows and PhD students, making up a group of about 50 persons. OCBE is internationally recognized, with interests spanning a broad range of areas (including time-to-event models, data integration, causal inference, statistical genomics, Bayesian inference, informative missingness and measurement error models, epidemiological studies of lifestyle and chronic diseases, stochastic models for infectious diseases, high dimensional data and models) and numerous collaborations with leading bio-medical research groups nationally and internationally.


We are looking for a motivated and competent candidate interested in statistical applications in epidemiological research. The PhD position is within the project “Sun exposure, sunscreen and solarium as risk factors for cutaneous squamous cell carcinoma (SCC) – better understanding for better prevention”. SCC is the second most common type of skin cancer, the 5th most common cancer overall in Norway and a huge burden for the health care system. This project combines data of a huge cohort study, the Norwegian Women and Cancer Study (NOWAC), with data from the Cancer Registry of Norway to investigate and better understand the risk factors of SCC. This understanding will ultimately feed into clinical practices and public health recommendations to stop the rising incidence of SCC in Norway. The main statistical methods will be multivariable regression models for survival data with time-varying covariates, but also causal inference or other advanced methods will likely be used.

The candidate will join Professor Marit B. Veierød’s research group at OCBE and will be part of a national and international network on skin cancer research. The PhD studies at the University of Oslo are characterized by a strong research profile. The PhD thesis includes scientific papers which are published in leading peer-reviewed journals in the field and the candidates are required to take a small number of advanced courses as part of the training component of their degree.

The objective of a research fellowship is completion of research training to the level of a doctoral degree. Candidates must have completed higher education equivalent to a Norwegian master degree and be granted admission to the Faculty’s PhD program. The grade requirements is an average grade of no less than grade B on subjects at master’s level and on the master thesis. Subjects on bachelor’s level should be no less than grade C. The fellowship period is 3 years devoted to research training or 4 years with a 25 % teaching commitment. The period devoted to research training may be reduced within the framework of pertaining regulations based on previously held research training positions. The research fellow is expected to complete the project within the set fellowship period.


  • Applicants must hold a master degree (or an equivalent to the Norwegian master degree) in biostatistics or within a relevant field (bioinformatics, epidemiology, public health, medicine, social or natural sciences) with good knowledge of statistics and experience in statistical modelling and use of statistical software. Experience in handling large datasets will be an advantage.
  • Applicants must be granted admission to the Faculty’s PhD program
  • We seek a candidate with high motivation to work with statistics in medical research and carry out the described project effectively as part of an interdisciplinary team
  • High working capacity
  • Independent, precise and organized working skills
  • Good collaborative skills
  • Excellent command of written and oral English

We offer

  • An ambitious, interesting and international research environment
  • Salary ranging from pay grade: 50 – 57 (NOK 432 700 – 489 300)
  • Membership in the Norwegian Public Service Pension Fund
  • Attractive welfare benefits
  • Opportunities for national and international collaboration

 The application must include

  • Application letter (including a summary of the applicant's scientific work and interests and describing how she/he fits the description of the person we seek)
  • CV (education since high school (place, grade), positions held  and details of  academic work)
  • List of publications, published abstracts, presentations
  • Copies of educational certificates and transcripts of records
  • Names and contact details of 2-3 referees (name, relation to candidate, e-mail and telephone number)

The application with attachments is to be delivered in our electronic recruiting system EasyCruit. 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. 

In assessing applications, particular emphasis will be placed upon the academic and personal ability of the candidate to complete the project within the given timeframe.

Applicants may be called in for an interview.

In accordance with the University of Oslo's equal opportunities policy, we invite applications from all interested individuals regardless of gender or ethnicity.

The University of Oslo has an agreement regarding acquisition of rights to work results for all employees, with the aim to secure rights to research results, etc.

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.

For more information please click "Further Official Information" below.

This opportunity has expired. It was originally published here:

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