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. 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 €.
Starting date: asap - before 16th December 2024.
Applications procedure and process
All applications must be submitted via the BSC website and contain:
A full CV in English.
A cover/motivation letter with a statement of interest.
The selection will be carried out through a competitive examination system. The recruitment process consists of two phases:
Curriculum Analysis: Evaluation of experience and qualifications.
Interview phase: Evaluation of competencies and skills.
At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments, please contact recruitment (at) bsc (dot) es.
Deadline
The vacancy will remain open until a suitable candidate has been hired.
OTM-R principles for selection processes
BSC-CNS is committed to principles of diversity and inclusion in recruitment.
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