The position is part of the project “Consequences of structural breaks on statistical inference with long memory processes”, sponsored by the German Research Foundation (DFG). It is carried out jointly with the Institute of Statistics at Leibniz University Hannover.

The project aims at examining statistical tests for structural change when the time series of interest display long memory. Some parts of the analysis will be theoretical, requiring the use of cointegration analysis, robust statistics and dynamic programming. Other parts will be empirical, with particular focus on high-frequency financial data. Theory and applications will be interwoven with computer simulations.

Frequent visits to and of the Hannover group will ensure a lively exchange of ideas. There are no teaching obligations. The PhD thesis will be written under the supervision of Prof. Dr. Michael Massmann.

Applicants are expected to hold, or soon to be holding, a Master's degree in statistics, mathematics or econometrics, or to have majored in one of these areas as part of a degree in a related field. Acquaintance with a statistical programming language is required. Proficiency of English is taken for granted; knowledge of German is not necessary.

Fixed-term contract: 3 years.

Funding is available for at least three years. A competitive salary is paid according to DFG regulations.

WHU - Otto Beisheim School of Management

WHU – Otto Beisheim School of Management is a privately funded business school based in Vallendar/Koblenz and in Düsseldorf. It is a leading business school in Germany and is continuously ranked among the top business schools in Europe. WHU is dedicated to excellence in management education. This comprises a commitment to excellence in research and teaching. Our research is based on three principles: quality, international exposure, and relevance to business practice. Our teaching involves educating first-rate graduates and providing lifelong learning opportunities. WHU offers a stimulating international working environment and is within easy commuting distance from Cologne, Bonn and Frankfurt.

https://www.whu.edu/en/