PhD Fellowship in Biostatistics/Epidemiology at University of Oslo in Norway, 2017

  • University of Oslo
  • PhD
  • BioStatistics, Epidemiology
  • International Students
  • Norway

Scholarship Description:

PhD Fellowship in Biostatistics/Epidemiology at University of Oslo in Norway, 2017 is open for International Students . The scholarship allows PhD level programm(s) in the field of BioStatistics, Epidemiology taught at University of Oslo . The deadline of the scholarship is .

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. Norwegian and foreign applicants can apply for this fellowship.

The University of Oslo, is the oldest, largest and most prestigious university in Norway, located in the Norwegian capital of Oslo. UiO attracts students and researchers from all over the world.

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.

Degree Level: Fellowship is provided for the doctoral research programme at the University of Oslo.

Available Subject: Fellowship is available in Biostatistics/Epidemiology at the University of Oslo in Norway.

Number of Awards: One PhD position is available.

Scholarship Benefits: 

  • 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


Eligibility: : Applicants must meet the following area for the fellowship:

  • 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


Eligible Nationalities: Norwegian and foreign applicants can apply for this fellowship.

Application Procedure: The mode of applying is online. 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.

Online Application

Deadline: The application deadline is April 17, 2017.

Scholarship Link

Degree Level:

PhD Fellowship in Biostatistics/Epidemiology at University of Oslo in Norway, 2017 is available to undertake PhD level programs at University of Oslo.

Available Subjects:

Following subject are available to study under this scholarship program.

  • BioStatistics
  • Epidemiology
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