The department of Statistics at Umeå School of Business, Economics and Statistics, is looking for PhD students in Statistics, who can perform high quality methodological statistical research. Apply 2021-04-15 at the latest.
The department of Statistics has about 30 members of staff and conducts research within the field of statistics and data science, including both method development and empirical research, the latter in collaboration with scientists from other departments. Our doctoral students have access to national and international networks through their experienced supervisors. The research projects available focus on developing novel statistical methods and software for the analysis of large and complex data sets. Applications include evaluation of labor market measures, health and quality of health care, as well as large-scale achievement tests. For more information: www.umu.se/en/usbe/about-us/statistics/.
The PhD program in Statistics is fully funded for 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: www.aurora.umu.se/en/units/faculty-of-social-sciences/
The starting date for the position is upon agreement, but no later than September 1, 2021.
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:
The application is to be submitted on the University recruitment system no later than April 15, 2021.
For further information please contact Professor Marie Wiberg, +46(0)90 786 95 24, email@example.com, Professor Marie Eriksson, +46(0)90 786 61 08, firstname.lastname@example.org, Professor Xavier de Luna, +46(0)90 786 55 59, email@example.com.
More about USBE
As an internationally respected, nationally influential, and regionally rooted part of Umeå University, Umeå School of Business, Economics, and Statistics contributes to societal development through education and research of a high international standard.
Through interplay with surrounding society, we provide education and research that contributes to the understanding, ability, and responsibility of individuals in relation to societal challenges and the importance of sustainable development.
In collaboration with our surrounding society, we provide education and research that contributes to individuals' understanding, ability and responsibility in relation to societal challenges and the importance of sustainable development. We are AACSB-accredited and sustainability certified according to the environmental management standard ISO14001.
The Department of Business Administration, the Department of Economics, the Department of Statistics and The USBE office form USBE, with about 140 employees. About 3300 students follow 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.
Read more about USBE here: www.umu.se/en/usbe/
Welcome with your application!
Upon agreement, at latest September 1, 2021
Marie Wiberg, professor
+46 (0)90-786 95 24, firstname.lastname@example.org
Marie Eriksson, professor
+46 (0)90-786 61 08, email@example.com
Xavier De Luna, professor
+46 (0)90-786 55v 59, firstname.lastname@example.org
090-786 53 65
090-786 52 96
090-786 54 31