Postdoc and PhD Positions in Statistics/Atmospheric Science
The Institute of Meteorology and Geophysics and the Department of Statistics at the University of Innsbruck, Austria, seek to fill a postdoc and a PhD position in a 3-year research project to forecast low visibility operating states at airports.
The working group on weather forecasting at the Institute of Meteorology and Geophysics has been teaming up with the Department of Statistics to develop methods for creating automated probabilistic end-to-end forecasts. In this project, Austro Control, the agency responsible for a safe, reliable, and efficient air traffic throughout Austrian airspace, joins the consortium. The project will develop an experimental forecasting system for the probability of the occurrence of low-visibility-procedure-states and different instrument-landing-system categories at three different Austrian airports. Poor visibility conditions reduce capacity at these airports leading to delays and/or flight cancellations. Modern statistical methods combined with historical and current observational, measurement, and numerical weather prediction model data will be at the core of the forecasting system. The best method will be selected using an end-user (Air Traffic Management) metric (cost-loss).
Postdoc (18 months with continuation possibility in follow-up project)
• 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 (in conjunction with the PhD student).
PhD (36 months)
• Preparing and selecting relevant measurements for the forecast algorithms.
• Developing forecasting methods (in conjunction with postdoc).
• Developing end-user-centric verification method.
• Interaction with operational personnel at airports.
• Degree (MSc, PhD) in statistics or atmospheric science with solid statistical background.
• Computing: Proficiency in R; knowledge of Python helpful.
• Languages: Excellent English; German optional.