We are looking for an outstanding researcher to join the Atmospheric Composition (AC) group within the Earth Sciences department at the BSC-CNS. The AC group aims at better understanding and predicting the spatiotemporal variations of atmospheric pollutants along with their effects upon air quality, weather and climate. This is addressed through the continuous development and application of numerical models over multiple scales, from weather to climate and from global to urban scales.



The position will focus on improving our understanding of the aerosol optical properties as a function of size, composition, shape and mixing state. The candidate will use field and laboratory data to better constrain aerosol optical properties in models and will contribute to model developments, evaluation and analyses. The research will introduce and apply novel AI methodologies to enhance model capabilities and improve s...