Institut für Meteorologie und Klimaforschung Atmosphärische Umweltforschung (IMKIFU)
We are seeking you to support our research on generative AI methods for improving weather radar data processing. You will be part of the DFG-funded project EuRadCA (Improving rainfall estimation across Europe through advancements in radar data processing, use of crowdsourced data, and AI). Additionally, your work will be embedded into the ongoing research on AI-method developments within the research group Hydrometeorological Sensing and Machine Learning at the KIT Campus Alpin.The overarching goal of the project EuRadCA is to improve quantitative precipitation estimation (QPE) from weather radar on a European scale with the help of advanced radar data processing, new radar-gauge adjustment techniques, AI methods, and observations from personal weather stations (PWS). The project will be carried out in cooperation with the project partners at the University of Stuttgart, who focus on the PWS data quality control and merging with radar, and partners at TU Delf, who focus on classical radar data processing and a scalable reproducible processing pipeline for Europe-wide data. Your work will focus on the development of new generative AI methods to improve QPE from radar data and from a combination of radar and station data. Additionally, AI-based quality control and an application of the new methods the European OPERA radar network is planned.Your main tasks will be to:Develop a generative artificial neural network (ANN) for probabilistic radar QPE using single- and dual-pol radar data.Extend the developed generative ANN to allow additional conditioning on rain gauge data to provide a merged radar-gauge product. Develop an AI-based quality control method for radar data Apply and evaluate the developed methods on the European scale to data from the OPERA radar network
Salary
Salary category 13 TV-L, depending on the fulfillment of professional and personal requirements.
Contract duration
3 years.
Application up to
June 7th,2026
Contact person in line-management
For further information, please contact Dr. Christian Chwala, christian.chwala@kit.edu.
