Department of Statistics, USBE, Umeå University

Umeå University is one of Sweden’s largest institutions of higher education with over 35,000 students and 4,200 faculty and staff. We are characterised by world-leading research in several scientific fields and a multitude of educations ranked highly in international comparison. Umeå University is also the site of the pioneering discovery of the CRISPR-Cas9 genetic scissors - a revolution in genetic engineering that has been awarded the Nobel Prize in Chemistry.

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We are looking for a person to join our new research programme devoted to developing novel statistical for causal inference using large databases.

Department of Statistics, Umeå School of Business and Economics, holds a research programme for the development of statistical methods for analyzing causal effects using population-based register data. The programme includes a research theme for studies of inclusion/exclusion criteria for selection of a study population when estimating an average causal effect. Research questions related to confounder control with regression models for outcomes and treatments (propensity scores) are also studied. 

Position description
A successful candidate for the postdoc position is expected to work with development of new statistical methods for causal inference, in collaboration with the research leader Ingeborg Waernbaum. The candidate is also expected to participate in interdisciplinary collaborations with applied researchers that analyze register. The person we are looking for can work independently as well as in a research group. The duration of the position is two years, planned to start May 1, 2017 or according to other agreement. Expected outcomes for this two year postdoc include publications in statistical journals, R packages implementing the developed methods, as well as scientific publications through active participation in multidisciplinary research teams.

Applicants should have a PhD in statistics/mathematical statistics (or related area) and must have obtained their doctorate degree no more than three years before the deadline for the application. Research experience in causal inference and/or other related areas is a merit. Experience in building packages in R is also a merit. Excellent written and spoken English is a requirement.

How to apply
The application should include:

  • A letter of application with a motivation describing your research interests.
  • A Curriculum Vitae.
  • Copies of published papers and PhD thesis.
  • Copies of relevant degree certificates and other documentation you wish to include in support of your application.
  • The names, with contact details and e-mail addresses, of at least two reference persons.

For information about USBE, please visit:
For further information about the position, please contact Associate Professor Ingeborg Waernbaum +46 (0)90-786 5571,

The application is to be submitted on the MyNetwork Pro recruitment system March 31, 2017 at the latest.

Welcome with your application!

Type of employment Temporary position longer than 6 months
Contract type Full time
First day of employment May 1, 2017, or according to other agreement
Salary Monthly salary
Number of positions 1
Working hours 100%
City Umeå
County Västerbottens län
Country Sweden
Reference number AN 2.2.1-284-17
  • Ingeborg Waernbaum, Associate Professor, +46 (0)90-7865571
Union representative
  • SACO, 090-786 53 65
  • SEKO, 090-786 52 96
  • ST, 090-786 54 31
Published 16.Feb.2017
Last application date 31.Mar.2017 11:59 PM CEST

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