Senior Atmospheric Research Scientist

hace 2 semanas

Madrid, Madrid, España beBeeAtmospheric A tiempo completo

Senior Atmospheric Research Scientist

About the Role

We are seeking a highly motivated and experienced Senior Atmospheric Research Scientist to join our team in Barcelona, Spain. As a key member of our research group, you will be responsible for developing and implementing cutting-edge deep learning models for spatial super-resolution of atmospheric composition fields generated by atmospheric chemistry models.

The ideal candidate will have a strong background in deep learning, especially in image super-resolution or geospatial applications, and experience with ML frameworks such as PyTorch or TensorFlow. You will also have excellent programming skills in Python and experience working in HPC environments.

In this role, you will work closely with our team of researchers and scientists to develop and apply machine learning models to better understand and predict atmospheric pollutants. You will also be responsible for integrating physical constraints and uncertainty estimation within the machine learning workflow.

The successful candidate will be part of an active group of researchers focusing on leveraging deep learning technologies to address key scientific and policy-oriented challenges. To conduct this research, you will have access to state-of-the-art High-Performance Computing infrastructure at BSC.

Key Responsibilities
  • Develop and implement deep learning architectures (e.g., CNNs, GANs, diffusion models) for spatial super-resolution of atmospheric composition fields generated by atmospheric chemistry models
  • Train and validate models using historical high-resolution observational datasets and CTM outputs
  • Integrate physical constraints and uncertainty estimation within the machine learning workflow
  • Collaborate closely with atmospheric scientists, and participate to the intellectual life of the group
  • Present model developments and research findings, contribute to scientific publications, and other duties as assigned
Requirements
  • PhD (or MSc with strong experience) in computer science, data sciences, Earth sciences, applied mathematics, physics, or related discipline
  • Strong background in deep learning, especially in image super-resolution or geospatial applications
  • Experience with ML frameworks (e.g., PyTorch, TensorFlow) and high-performance computing environments
  • Demonstrated expertise in designing and implementing machine learning models from scratch
  • Excellent programming skills in Python
  • Additional Knowledge and Professional Experience
  • Experience working in HPC environment (including bash)
  • Experience in Earth sciences will be valued
  • Experience with graph neural networks will also be valued
What 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

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