Umeå School of Business and Economics

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.

At Umeå University, everything is nearby. Our cohesive campus environment makes it easy to meet, collaborate and exchange knowledge, which promotes a dynamic and open culture where we rejoice in each other's successes.

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We are looking for a PhD student in Statistics which can perform high quality methodological statistical research within the field of life course analysis. Apply August 31 at the latest.

Umeå School of Business and Economics (USBE) has more than 170 employees including about 90 graduated teachers and researchers. The School conducts research and education in business administration, economics, and statistics. Currently the School has more than 2000 students. For more information about the school, and the department of statistics, please visit

Statistical research
The Department of Statistics at the Umeå School of Business and Economics conducts methodological research with applications in the social, educational and medical sciences see

Position description
We have an opening for a PhD student in Statistics within the project Innovative Statistical methods for optimal use of large-scale register data in studies of causal pathways within the research lab where details on our research activities may be found. The project is led by Xavier de Luna in collaboration with other senior researchers from Umeå, Uppsala and Ghent University. The overall aim is to develop new efficient statistical methods relevant for register based research, with a particular focus on life course analysis.

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 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 MyNetwork recruitment system no later than August 31, 2016.

For further information please contact professor Xavier de Luna +46(0)70 5454 315,

Type of employment Temporary position longer than 6 months
Contract type Full time
First day of employment The starting date for the position is upon agreement.
Salary Monthly salary
Number of positions 1
Working hours 100%
City Umeå
County Västerbottens län
Country Sweden
Reference number AN 2.2.1-388-16
  • Xavier de Luna, professor, +46 (0)70-5454315,
Union representative
  • SACO, 090-786 53 65
  • SEKO, 090-786 52 96
  • ST, 090-786 54 31
Published 09.Jun.2016
Last application date 31.Aug.2016 11:59 PM CEST

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