«A place where knowledge is created» - As one of Europe's leading universities of economics and business administration, the University of St.Gallen (HSG), Switzerland, is committed to the education of over 8500 students and is one of the largest employers in the region, providing around 3100 employees with an attractive and innovative environment for research.
Assistant Position in Statistics and Financial Econometrics
At the University of St. Gallen, Department of Economics, a 35% or 70%-assistant position will be opened, starting in Spring 2020. The position is part of Prof. Francesco Audrino's chair in Statistics at the University of St.Gallen. It is assumed that candidates for this position are willing to start a Ph. D. in Finance and Economics (PEF) at the University of St. Gallen. Topics for the thesis can cover both theoretical and empirical methods in statistics, computational methods, and financial econometrics. Examples of topics and recent research articles that could be starting points for a Ph. D. thesis can be seen at


The position will be part of the group in Mathematics and Statistics at the University of St.Gallen, http://www.mathstat.unisg.ch/. The new Ph. D. candidate is expected to interact strongly with the professors of the Institute of Mathematic and Statistic in the development of the thesis, as well as with professors and post-docs of the Department of Economics. They are also expected to collaborate in the development of the teaching activities of the group in the areas of Statistics, Econometrics, and Financial Econometrics.

Applications for the position should be sent by e-mail until December 15th 2019 with a complete CV, transcripts of the diploma, and letter of motivation to the address mathstat@unisg.ch
Candidate Profile

  • Master degree in economics, finance, mathematics, statistics, data science (with some studies in economics), or related fields.
  • Willingness to write a Ph. D. thesis in (computational) statistics or financial econometrics at the University of St. Gallen (PEF program).
  • Strong willingness to apply quantitative statistical research methods in economics or finance.

  • Collaboration in the teaching of statistics and (financial) econometrics at different teaching levels.
  • Collaboration in the research activities of the group in the areas of statistics, mathematics, econometrics, and financial econometrics.
  • Development of a Ph. D. thesis in the above-mentioned areas at the University of St. Gallen.
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