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(X-089) | Researcher - Advancing Atmospheric Emission Estimationai4S

Detalles de la oferta

Job Reference: 589_24_ES_AC_R3Position: Researcher - Advancing atmospheric emission estimation (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 to facilitate scientific progress.
We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are.Context And Mission: The Atmospheric Composition (AC) group within the Earth Sciences department at BSC-CNS is dedicated to advancing our understanding and prediction of atmospheric pollutants and their impact on air quality, weather, climate, and health.
We are seeking an experienced researcher to drive the scientific advancement of emission modeling tools and datasets.Key Duties:Update and develop the input information underpinning the emission modeling tools and datasets.Develop methodologies to improve emission estimates, focusing on air pollutants of emerging concern.Provide quality assessment and evaluation of the emission modeling tools and datasets.Support the application of emission modeling tools in air quality modeling activities.Advance current emission estimation methodologies using earth observations.Evaluate emission estimates using air quality modeling techniques.Further develop and apply AI knowledge and skills.Conduct original research and disseminate findings in high-impact publications and conferences.Provide scientific support for competitive applications for research projects.Requirements:Education: A Ph.D. degree 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 (6 years minimum).Experience in developing bottom-up emission inventories and evaluating emission estimates (6 years minimum).Demonstrated scientific expertise with a record of scholarly publications.Experience in programming and code development (Python, R).Previous experience managing or coordinating a team of researchers (1 year minimum).Additional Knowledge and Professional Experience:Fluency in English; proficiency in Spanish and other European languages is advantageous.Experience in machine learning/AI is valued.Knowledge of atmospheric science data formats and experience with scientific software and tools.Competences:Ability to work in a team and in a multi-cultural environment.Excellent written and verbal communication skills.Ability to take initiative, prioritize, and work under deadlines.Conditions:The position will be located at BSC within the Earth Sciences Department.
Full-time contract (37.5h/week), flexible working hours, private health insurance.
Duration: 4 years.
Salary: 55,000.00 €.
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Salario Nominal: A convenir

Fuente: Talent_Dynamic-Ppc

Requisitos

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