Atmospheric Chemistry Modeling Expert

hace 5 días

Barcelona, Barcelona, España Barcelona Supercomputing Center (Bsc) A tiempo completo
Job Opportunity

We are seeking a highly skilled researcher to enhance our atmospheric chemistry modeling capabilities using cutting-edge technologies such as machine learning, high-performance computing, and GPUs.

About the Role

The Atmospheric Composition group within the Earth Sciences department at BSC-CNS aims to better understand and predict the spatiotemporal variations of atmospheric pollutants along with their effects on air quality, weather, climate, and health.

Key Responsibilities
  • Propose and implement a strategy for integrating cutting-edge technologies to improve our capabilities for modeling the atmosphere's chemical composition.
  • Review the existing literature on the field and related disciplines.
  • Contribute to the preparation of large-scale atmospheric composition training datasets for machine learning developments.
  • Coordinate and contribute to the development of the proposed machine learning-based applications with 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: A PhD degree in atmospheric chemistry, physics, climate, remote sensing, environmental engineering, data science, machine learning, computer science, or similar.
  • Essential Knowledge and Professional Experience: Demonstrated experience in machine learning (2 years minimum) and experience with Python machine learning libraries (Scikit-learn, Pytorch, Keras, and/or Tensorflow).
  • Demonstrated scientific expertise, including a record of scholarly publications.
  • Good programming skills in Python or equivalent, experience with Unix/Linux and HPC environments.
  • Additional Knowledge and Professional Experience: Fluency in English is essential.

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