Postdoc - Emulating chemistry-transport models with artificial intelligence (R2)

In the frame of the AIRE (“Harnessing Artificial Intelligence to TRansform Air Quality AssEssment and Management in Spain”) Spanish national project, in collaboration with CSIC Institute of Environmental Assessment and Water Research and the Univiersity of Zaragoza, the Atmospheric Composition (AC) research group within the Earth Sciences Department (BSC-ES) at the Barcelona Supercomputing Center (BSC) () is embarking on a range of cutting-edge research and development activities at the cross-section between environmental sciences (with focus on atmospheric composition and more specifically air pollution) and artificial intelligence.



In this ambitious and potentially rewarding endeavor, we are looking for a machine learning postdoc to develop an emission- and meteorology-sensitive deep learning model emulating the BSC’s in-house MONARCH air pollution model. The AI emulator will be trained on a large ens...