Postdocs / Research Engineer on machine learning and atmospheric composition
Barcelona Supercomputing Center (BSC), Spain
Closing date: 31 March 2024
The Earth Sciences Department at the Barcelona Supercomputing Center (BSC) (www.bsc.es) is embarking on an umbrella of large-scale activities and developments linked to the implementation of a High-Resolution Emission System for Air Quality Prediction and Greenhouse Gas Monitoring. These activities are part of a large initiative on the “Modernization of observation networks and digitalization of production processes for the development of intelligent meteorological services in the context of climate change” in the framework of the European Recovery, Transformation, and Resilience Plan funded by the European Union – Next Generation EU.
In the frame of this ambitious project, BSC is offering three positions – two postdoctoral positions in machine learning and/or atmospheric modeling and one research engineer in machine learning – to work in the field of machine learning and investigate data-driven approaches to emulate and accelerate physics-driven atmospheric composition models. These developments will improve the current modeling capabilities in the field of atmospheric composition, which will open new avenues for better constraining air pollutants and greenhouse gas emissions. The successful candidates will work closely with atmospheric scientists and other research engineers from both the Atmospheric Composition (AC) and Computational Earth Science (CES) groups.
The vacancy will remain open until 31 March 2024.