PhD Position in Statistics with Application in Atmospheric Science
The Institute of Meteorology and Geophysics and the Department of Statistics at the Univer-
sity of Innsbruck, Austria, seek to fill a PhD position in a 3-year research project to forecast
low visibility operating states at airports.
The research group on weather forecasting at the Institute of Meteorology and Geophysics
collaborates with the Department of Statistics to develop methods for creating automated
probabilistic end-to-end forecasts. In this project, the goal is to model and predict low-
visibility-procedure-states at airports based on the available meteorological observational
and numerical weather prediction model data. As poor visibility conditions reduce air-
port capacities due to delays and/or flight cancellations, short-term predictions of proba-
bilities for different procedure states associated with different instrument-landing-system
categories is important to organize the traffic flow efficiently. From a statistical perspective
this requires flexible regression methods that can accommodate ordinal responses, poten-
tially non-linear or varying regressor effects, and requires variable selection.
The statistical models will be developed and adapted in cooperation with an atmospheric
science PhD student also working on the project, and the research group, consisting of both
statisticians and atmospheric scientists, as well as the project partner Austro Control. They
are the agency responsible for a safe, reliable, and efficient air traffic throughout Austrian
• Main goal: Development of statistical models to forecast the operating states using an
array of measurement data and output from numerical weather prediction models.
• Further goal: Verification.
• Degree (MSc) in statistics or mathematics
Computing: Proficiency in R; further technological skills (Python, Linux, etc.) helpful.
• Languages: Excellent English; German optional.
Application Deadline: Review of applications will begin on September 15, 2014 and may
continue until the position is filled.
Apply Electronically: Send a cover letter, resume/CV, abstract of your Master thesis, and
the names and contact details of two references to firstname.lastname@example.org
. References will
not be contacted without prior notification of the candidates.