Job Reference: 589_24_ES_AC_R3
Position: Researcher - Advancing atmospheric emission estimation (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, and is now hosting entity for EuroHPC JU, which leads large-scale investments and HPC provision in Europe.
The mission of BSC is to research, develop and manage information technologies to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth, and engineering sciences) and currently has over 1000 staff from 60 countries.
Context And Mission: A critical focus of the AC group is the development and maintenance of advanced emission modeling tools and datasets. These include various versions of the High-Elective Resolution Modelling Emission System (HERMES), which supports global to urban air quality research, and the near-real-time national emission monitoring system (PHENOMENA).
Key Duties:
Update and develop the input information underpinning the emission modeling tools and emission datasets.Develop methodologies to update and improve emission estimates, focusing on air pollutants of emerging concern (i.e., NH3, BC, UFP, NMVOC).Provide quality assessment, evaluation, and services of the emission modeling tools and emission datasets.Advance current emission estimation methodologies using earth observations and top-down emission products.Evaluate emission estimates using air quality modeling techniques.Conduct original research and disseminate findings in high-impact peer-reviewed publications, internal and external meetings, and conferences.Requirements:
Education: A Ph.D. in environmental engineering, physics, data science, remote sensing, or similar.Essential Knowledge and Professional Experience:Strong experience in atmospheric emissions and characterization of emission sources (minimum 6 years).Strong experience in the development of bottom-up emission inventories, emission inventory intercomparison, and evaluation of emission estimates by means of air quality modeling (minimum 6 years).Demonstrated scientific expertise, including a record of scholarly publications.Experience in programming and code development (Python, R).Originality and critical thinking in assessing the quality of data from different sources.Previous experience managing or coordinating a team of researchers (minimum 1 year).Additional Knowledge and Professional Experience:Fluency in English is essential; proficiency in Spanish and other European languages is advantageous.Experience in machine learning/AI will be valued.At least 5 years of experience in similar fields.Knowledge of atmospheric science data formats (GRIB, NetCDF) and experience with scientific software and tools (CDO, NCO, Python, or R).Experience with revision control systems (e.g., SVN or Git).Good record in obtaining grants/research funds.Competences:Ability to work in a team and in a multi-cultural environment.Very good interpersonal skills.Excellent written and verbal communication skills.Ability to take initiative, prioritize, and work under set deadlines.Ability to work both independently and within a team.Capacity to work in multidisciplinary environments.Conditions: The position will be located at BSC within the Earth Sciences Department. We offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, and restaurant tickets.
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