We are looking for a scientist with a strong background in physics, meteorology or a related subject who is interested in deep learning of weather and climate processes, in particular in the atmospheric boundary layer. We also welcome applications from deep learning specialists who have worked on different domains before.
The use of deep learning for weather forecasting has exploded in recent years, and is transforming the computational representation of atmospheric processes. Large-scale models have so far been trained on coarse-resolution model data and thereby inherited some weaknesses of classical models in the representation of important but small-scale processes in the atmospheric boundary-layer. To make the next leap forward in deep learning of atmospheric processes, we intend to train a model on high-resolution model output and observations. We thereby aim at improving deep learning models beyond the limitations of current models.
https://jobs.awi.de/Vacancies/1889/Description/2
