Job Reference: 588_24_ES_AC_R3Position: Researcher - Understanding air pollution patterns, trends and impacts (R3) - AI4SClosing Date: Tuesday, 03 September, 2024About BSC: The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D; into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries. We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences. If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.Context And Mission: The Atmospheric Composition (AC) group within the Earth Sciences department at BSC-CNS aims at better understanding and predicting the spatiotemporal variations of atmospheric pollutants along with their effects upon air quality, weather, climate and health. We are seeking an experienced researcher to join the AC group and lead innovative research focused on air pollution patterns, trends, and impacts. The successful candidate will spearhead the integration of advanced AI methodologies for the curation, analysis, and fusion of observational data and atmospheric chemistry model datasets. The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility - Next Generation.Key Duties:Definition of the strategy of the AI solutions for atmospheric composition data treatment and analysisFurther develop and apply AI knowledge and skillsAdvance the understanding of atmospheric chemistry processesDevelop and apply novel methodologies for data fusion, model evaluation and analysisContribute to the development of the evaluation tools of the groupCoordinate other researchers or engineersParticipate in collaborative projects with partner institutionsConduct original research and dissemination in high impact peer reviewed publications, internal and external meetings and conferencesProvide scientific support for the preparation of competitive applications for research and/or innovation projectsRequirements:Education: PhD in the field of atmospheric chemistry, environmental sciences, applied mathematics, physics, engineering, or related disciplines.#J-18808-Ljbffr