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Researcher - Atmospheric Composition Data Analyst
hace 2 meses
About Us
The Barcelona Supercomputing Center (BSC) is a leading research institution in the field of high-performance computing and data science. Our mission is to advance scientific knowledge and innovation through the development and application of cutting-edge technologies.
Job Summary
We are seeking an experienced researcher to join our Atmospheric Composition 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.
Key Responsibilities
- Develop and implement AI solutions for atmospheric composition data treatment and analysis
- Advance the understanding of atmospheric chemistry processes and their effects on air quality and climate
- Develop and apply novel methodologies for data fusion, model evaluation, and analysis
- Contribute to the development of evaluation tools for the group
- Coordinate with other researchers and engineers to achieve project goals
- Participate in collaborative projects with partner institutions and organizations
- Conduct original research and disseminate findings through publications, presentations, and conferences
- Provide scientific support for the preparation of competitive research and innovation projects
Requirements
- PhD in atmospheric chemistry, environmental sciences, applied mathematics, physics, engineering, or related disciplines
