Research Software Engineer for technical support to develop climate model improved with quantum machine learning

We develop the first prototype of a climate model improved with quantum computers, extending the work carried out under the European Research Council (ERC) Synergy Grant on “Understanding and Modelling the Earth System with Machine Learning by replacing subgrid-scale parameterisations first by ML and then by QML approaches (ICON-ML and ICON-QML, respectively). The unique opportunities offered by quantum computing are explored to improve and accelerate climate models and its development process. In this position, simulations with the newly developed climate model ICON-ML or ICON-QML are carried out in comparison with the conventional climate model ICON, and the team is technically supported in the development of ICON-ML or ICON-QML. In addition, the evaluation of the simulations carried out in comparison with observations is technically supported with the help of the ESMValTool developed at the Institute.