The department of Statistics at Umeå School of Business, Economics and Statistics, is looking for PhD students in Statistics which can perform high quality methodological statistical research within the field of Causal Inference in Observational Studies. Apply December 28, 2018 at the latest.

PhD projects
We have openings for PhD students in Statistics within three projects:

  • “Uncovering the mechanisms behind inequalities in stroke care and outcome through innovative statistical methods for mediation analysis” funded by the Swedish Research Council and FORTE and led by Anita Lindmark and Marie Eriksson.
  • “Methodological development for estimating marginal causal effects of non-randomized treatments on time-to- event outcomes” funded by the Swedish Research Council and led by Jenny Häggström.
  • “Innovative statistical methods for optimal use of large-scale register data in studies of causal pathways” funded by the Marianne and Marcus Wallenberg Foundation and led by Xavier de Luna.

The projects are part of the research environment Stat4Reg (see: for description of the three projects). The overall aim of the projects is to develop new statistical, machine learning and mediation methods for estimating causal effects using large databases. Applications will lie within the medical and social sciences.

The PhD program in Statistics is four years. PhD students may be appointed to teaching and/or consulting duties up to 20 % of their time, thereby prolonging the duration of the program to guarantee four years of graduate studies. For more information about doctoral studies:

The starting date for the position is February 1, 2019 or upon agreement.

Requirements and qualifications
Applicants should have a degree awarded at the advanced level with a major in Statistics (or equivalent qualifications). Moreover the student must have satisfactorily undertaken courses in Mathematics equivalent to at least 30 ECTS credits. Exact prerequisites can be found at the department’s Swedish webpage, or using the contact details provided below. Applicants with a degree from a non-Swedish university are encouraged to provide obtained results from GMAT (and/or GRE) and TOEFL tests if available.

The assessments of the applicants are based on their qualifications and their ability to benefit from the doctoral-level education they will receive. Experience in statistical programming is a merit for the position.

How to apply
The application should include:

  • A letter of application with a motivation describing your research interests and how there are relevant for this position.
  • A Curriculum Vitae.
  • Form “New PhD” which you can find here:
  • Copies of undergraduate and graduate theses.
  • 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.

The application is to be submitted on the University recruitment system no later than December 28, 2018.

For further information please contact:

Professor Xavier de Luna, +46 (0)90-786 5559,, or
PhD Anita Lindmark, +46 (0)90-786 6109,, or
Professor Marie Eriksson, +46 (0)90-786 6108,, or
Associate professor Jenny Häggström, +46 (0)90-786 9318,

More about USBE
The vision of Umeå School of Business, Economics and Statistics (USBE) is to be a University-based Business School firmly rooted in the region, nationally influential and internationally respected. We create knowledge in interaction with stakeholders, to develop responsible leaders with a sustainability orientation for a local and global society.

The Department of Business Administration, the Department of Economics, the Department of Statistics and The USBE office form USBE, with about 150 employees. About 3000 students study in our programs every year and we offer education from the undergraduate to the doctoral program level in all of our main disciplines – Business Administration, Economics and Statistics.

The Department of Statistics has about 30 members of staff. We conduct research with the field of Statistical Sciences, both method development and empirical research, in collaboration with other sciences.

USBE is an AACSB and ISO 14001 accredited business school. Read more about USBE here:

Welcome with your application!