Researcher - Understanding Air Pollution Patterns, Trends And Impactsai4s - O-649

Job Reference: 588_24_ES_AC_R3 Position: Researcher - Understanding air pollution patterns, trends and impacts (R3) - AI4S Closing Date: Tuesday, 03 September, 2024 About 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 analysis Further develop and apply AI knowledge and skills Advance the understanding of atmospheric chemistry processes Develop and apply novel methodologies for data fusion, model evaluation and analysis Contribute to the development of the evaluation tools of the group Coordinate other researchers or engineers Participate in collaborative projects with partner institutions Conduct original research and dissemination in high impact peer reviewed publications, internal and external meetings and conferences Provide scientific support for the preparation of competitive applications for research and/or innovation projects Requirements: Education: PhD in the field of atmospheric chemistry, environmental sciences, applied mathematics, physics, engineering, or related disciplines. #J-18808-Ljbffr