Masterthesis (w/m/d): Seamless short-term forecasting of thunderstorms using machine learning on mul
vor 2 Wochen
What to expectThe Department is aiming at the understanding and prediction of dynamical processes in the atmospheric boundary layer and in the upper atmosphere. In the deep-convection group, we focus on the physics and short-term forecasting of atmospheric deep convection, i. e. thunderstorms, particularly in the context of aviation. To this end, we develop novel modelling approaches combining physics and machine learning. This Master thesis examines seamless predictions that combine different forecasting approaches, in particular the time scales over which either methods are advantageous. The project integrates in the Italia—Deutschland Science-4-Service network and involves exchange with the Italian and German Met Services. Your tasksliterature study on the topic of thunderstorm short-term prediction, including the different modelling approaches and evaluation procedures.familiarisation with the existing short-term prediction tools at PA-MET, in particular Cb-TraML and SALAMA, on the HPDA cluster Terrabyte. This initiation will be in close interaction with the rest of the team and helps preparing relevant case studies for a publication. adjustment of the existing models for the particular research question. This may involve retraining, model blending or algorithmic modifications.thorough scientific evaluation of the results in the light of the initial research question and documentation of the results. Depending on the results, the student will assist the preparation of a scientific publication.ideally, the results should be substantiated and generalised by parallel theoretical studiesYour profilecompleted Bachelor’s degree in physics or meteorology or a comparable subjectgood knowledge in atmospheric physics and/or statistical physicsgood knowledge in programming, ideally in Pythonideally, initial experience with machine learningknowledge in (passive) remote sensing and statistical data analyses are a plusvery good knowledge in English
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vor 2 Wochen
Cologne, Deutschland Optimus Search VollzeitAbout us Optimus Search has been a trusted partner in DACH tech recruitment since 2005, driven by the belief that technology achieves its full potential in the right hands. Our expertise spans Engineering and Technology, where we excel in identifying, engaging, and securing elite technical talent faster than the competition. By connecting exceptional...